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Ni berättar era bästa sätta i halsen-historier (på rätt sida mörkret). P3s techreporter Evelina Galli om en framtid där den svenska polisens kan använda sig av AI-övervakning. Vi går igenom termer som används för att runda algoritmerna. P3 Din Gatas Petter Hallén om Hiphopens närvaro på festivaler. Lyssna på alla avsnitt i Sveriges Radio Play. Programledare: Christopher Garplind och Ayan Jamal.
Send us a Text Message.What if you could harness the power of AI without compromising your data privacy? Join us as we welcome Jiahao Sun, the trailblazing founder and CEO of Flock.io, who shares his incredible journey from Oxford to leading innovative AI initiatives in the financial sector. Jiahao reveals the birth of Flock.io, a groundbreaking platform that ingeniously marries federated learning with blockchain technology, ensuring sensitive data stays secure and local. Dive into the importance of community-driven AI development and understand the potential hazards of data misuse, which Jao compares to the perils of bioweapons targeting DNA.Explore the revolutionary applications of decentralized AI across various industries as Jiahao highlights secure AI companions, financial transaction bots, and groundbreaking healthcare solutions like glucose monitoring. Discover the crucial role of privacy in these applications, particularly within the Web3 landscape. Get excited about the future of AI and metaverses with upcoming advancements like GPT-5's enhanced multimodal capabilities. Finally, understand how cutting-edge technologies like zero-knowledge proofs and fully homomorphic encryption will reshape privacy-preserving machine learning. Learn how you can engage with Flockio's unique offerings and be a part of this transformative journey.This episode was recorded at EthCC in Brussels on July 9, 2024. Read the blog article and show notes here: https://webdrie.net/ai-and-web3-synergy-flock-ios-approach-to-secure-model-training-with-jiahao-sun/
Wow, it's been 10 years already! Have we saved the world yet?, not quite but can we still do it? Of course we can with a little help from our Friend Hemp! Though Hemp has taken a beating in the last few years with everybody, focusing on one single cannabinoid. The truth is that hemp is literally the buffalo of the plant world, and the sooner that people treat it that way the sooner it can help us heal this planet. Dave and I will be cruising around the show and rounding up some of our favorite people. @summerstarenvirohemp @ryanfarmshemp and Jao from @8000 Kicks along with I'm sure some more surprises each of these people have focused on hemp from either an agricultural point of view or textiles and fashion. We will also check out the Hempcrete advances along with a plethora of new and exciting technologies. You can find us at booth #219 representing @exotix with some amazing genetics from @rkiem, @prometheus_genetics ,@dominionseedcoactual , @homegrownnaturalwonders and of course @t.h.seeds_official and @sagemasta_select . So get that @dabx GO rig charged your @jerome_baker bong Clean with some
In this week's episode, Anna (https://twitter.com/annarrose) and Nico (https://twitter.com/nico_mnbl) chat with Chelsea Komlo (https://twitter.com/chelseakomlo), Chief Scientist for the Zcash Foundation (https://zfnd.org/) and member of the Cryptography, Security, and Privacy lab at the University of Waterloo (https://crysp.uwaterloo.ca/). They discuss what sparked Chelsea's interest in cryptography research, starting with her work contributing to Tor, to her move to Zcash and her PhD work on Threshold Signature Schemes. They define some important terms around different signature schemes and discuss possible optimizations that can be used to make these more performant. They then dive into her work on the FROST Threshold Signature Scheme plus some new upcoming work. Here's some additional links for this episode: EdSIDH: Supersingular Isogeny Diffie-Hellman Key Exchange on Edwards Curves by Azarderakhsh, Lang, Jao and Koziel (https://djao.math.uwaterloo.ca/wiki/images/f/ff/Space-2018.pdf) Efficient Signature Generation by Smart Cards by Schnorr (https://link.springer.com/content/pdf/10.1007/BF00196725.pdf) FROST: Flexible Round-Optimized Schnorr Threshold Signatures by Komlo and Goldberg (https://eprint.iacr.org/2020/852.pdf) Episode 316: Alin Tomescu on Distributed On-chain Randomness and Keyless Accounts (https://zeroknowledge.fm/316-2/) Episode 295: Return to MPC with Nigel Smart (https://zeroknowledge.fm/295-2/) [On the (in)security of ROS] by Benhamouda, Lepoint, Loss, Orr`u and Raykova](https://eprint.iacr.org/2020/945.pdf) Re-Randomized FROST by Gouvˆea and Komlo (https://eprint.iacr.org/2024/436.pdf) Frostsnap (https://frostsnap.com/) CFRG GitHub Repository for FROST (https://github.com/cfrg/draft-irtf-cfrg-frost) zkSummit11 is happening next week, head to the zkSummit website (https://www.zksummit.com/) to apply for a waitlist spot now. The event will be held on 10 April in Athens, Greece. Check out the ZK Jobs Board (https://jobsboard.zeroknowledge.fm/) Aleo (http://aleo.org/) is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup. Dive deeper and discover more about Aleo at http://aleo.org/ (http://aleo.org/) If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (https://zeroknowledge.fm/)
No Vacilo News de hoje: Dane Bayer e Jão Carvalho mostram o buraco do idoso, amam um ratinho organizado e denunciam CALVOCRIMES!!Assine o plano BOGA VIVA e participe do nosso GRUPO SECRETO NO TELEGRAM! FINANCIE ESTE VACILO:apoia.se/decrepitosMANDA PIX:pix@decrepitos.com PARTICIPE PELO E-MAIL:ouvinte@decrepitos.comANUNCIE COM A GENTE:comercial@decrepitos.com
ThursdAI - Sunday special deep dive, interviews with Joao, and Jon, AI agent Crews and Bagel Merges. Happy Sunday dear reader, As you know by now, ThursdAI pod is not a standard interview based podcast, we don't focus on a 1:1 guest/host conversation, but from time to time we do! And this week I was very lucky to have one invited guest and one surprise guest, and I'm very happy to bring you both these conversations today. Get your Crew together - interview with João Moura, creator of CrewAIWe'll first hear from João Moura, the creator of Crew AI, the latest agent framework. João is a director of AI eng. at Clearbit (acquired by Hubspot recently) and created Crew AI for himself, to automate many of the things he didn't want to keep doing, for example, post more on Linkedin. Crew has been getting a lot of engagement lately, and we go into the conversation about it with João, it's been trending #1 on Github, and received #2 product of the day when Chris Messina hunted this (to João's complete surprise) on Product Hunt. CrewAI is built on top of Langchain, and is an agent framework, focusing on Orchestration or role-playing, autonomous agents. In our chat with João we go into the inspiration, the technical challenges and the success of CrewAI so far, how maintenance for crew is now partly a family effort and what's next for crewMerges and Bagels - chat with Jon Durbin about Bagel, DPO and mergingThe second part of today's pod was a conversation with Jon Durbin, a self described AI tinkerer and software engineer. Jon is a Sr. applied AI researcher at Convai, and is well known in our AI circles as a master finetuner and dataset curator. This interview was not scheduled, but I'm very happy it happened! If you've been following along with the AI / Finetuning space, Jon's Airoboros dataset and set of models have been often mentioned, and cited, and Jon's latest work on the Bagel models took the lead on HuggingFace open LLM leaderboardSo when I mentioned on X (as I often do) that I'm going to mention this on ThursdAI, Jon came up to the space and we had a great conversation, in which he shared a LOT of deep insights into finetuning, DPO (Direct Preference Optimizations) and merging. The series of Bagel dataset and models, was inspired by the Everything Everywhere All at Once movie (which is a great movie, watch it if you haven't!) and is alluding to, Jon trying to throw as many datasets together as he could, but not only datasets! There has been a lot of interest in merging models recently, specifically many folks are using MergeKit to merge models with other models (and often a model with itself) to create larger/better models, without additional training or GPU requirements. This is solely an engineering thing, some call it frankensteining, some frankenmerging.If you want to learn about Merging, Maxime Labonne (the author of Phixtral) has co-authored a great deep-dive on Huggingface blog, it's a great resource to quickly get up to speedSo given the merging excitement, Jon has set out to create a model that can be an incredible merge base, many models are using different prompt techniques, and Jon has tried to cover as many as possible. Jon also released a few versions of Bagel models, DPO and non DPO, that and we had a brief conversation about why the DPO versions are more factual and better at math, but not great for Role Playing (which is unsurprisingly what many agents are using these models for) or creative writing. The answer is, as always, dataset mix! I learned a TON from this brief conversation with Jon, and if you're interested in the incredible range of techniques in the Open Source LLM world, DPO and Merging are definitely at the forefront of this space right now, and Jon is just at the cross-roads of them, so definitely worth a listen and I hope to get Jon to say more and learn more in future episodes so stay tuned! So I'm in San Francisco, again... As I've mentioned on the previous newsletter, I was invited to step in for a colleauge and fly to SF to help co-host a hack-a-thon with friends from TogetherCompute, Langchain, in AGI house in Hillsborough CA. The Hackathon was under the Finetune VS RAG theme, because, well, we don't know what works better, and for what purpose.The keynote speaker was Tri Dao, Chief Scientist @ Together and the creator of Flash Attention, who talked about SSM, State space models and Mamba. Harrison from Langchain gave a talk with a deepdive into 5 techniques for knowledge assistants, starting with basic RAG and going all the way to agents
U 44. emisiji Male muzičke avanture autor i voditelj Željko Čačija poručuje : " Jao, što je škola grozna". Proverite šta je pod tim mislio...
It's now almost 6 months since Google declared Code Red, and the results — Jeff Dean's recap of 2022 achievements and a mass exodus of the top research talent that contributed to it in January, Bard's rushed launch in Feb, a slick video showing Google Workspace AI features and confusing doubly linked blogposts about PaLM API in March, and merging Google Brain and DeepMind in April — have not been inspiring. Google's internal panic is in full display now with the surfacing of a well written memo, written by software engineer Luke Sernau written in early April, revealing internal distress not seen since Steve Yegge's infamous Google Platforms Rant. Similar to 2011, the company's response to an external challenge has been to mobilize the entire company to go all-in on a (from the outside) vague vision.Google's misfortunes are well understood by now, but the last paragraph of the memo: “We have no moat, and neither does OpenAI”, was a banger of a mic drop.Combine this with news this morning that OpenAI lost $540m last year and will need as much as $100b more funding (after the complex $10b Microsoft deal in Jan), and the memo's assertion that both Google and OpenAI have “no moat” against the mighty open source horde have gained some credibility in the past 24 hours.Many are criticising this memo privately:* A CEO commented to me yesterday that Luke Sernau does not seem to work in AI related parts of Google and “software engineers don't understand moats”. * Emad Mostaque, himself a perma-champion of open source and open models, has repeatedly stated that “Closed models will always outperform open models” because closed models can just wrap open ones.* Emad has also commented on the moats he does see: “Unique usage data, Unique content, Unique talent, Unique product, Unique business model”, most of which Google does have, and OpenAI less so (though it is winning on the talent front)* Sam Altman famously said that “very few to no one is Silicon Valley has a moat - not even Facebook” (implying that moats don't actually matter, and you should spend your time thinking about more important things)* It is not actually clear what race the memo thinks Google and OpenAI are in vs Open Source. Neither are particularly concerned about running models locally on phones, and they are perfectly happy to let “a crazy European alpha male” run the last mile for them while they build actually monetizable cloud infrastructure.However moats are of intense interest by everybody keen on productized AI, cropping up in every Harvey, Jasper, and general AI startup vs incumbent debate. It is also interesting to take the memo at face value and discuss the searing hot pace of AI progress in open source. We hosted this discussion yesterday with Simon Willison, who apart from being an incredible communicator also wrote a great recap of the No Moat memo. 2,800 have now tuned in on Twitter Spaces, but we have taken the audio and cleaned it up here. Enjoy!Timestamps* [00:00:00] Introducing the Google Memo* [00:02:48] Open Source > Closed?* [00:05:51] Running Models On Device* [00:07:52] LoRA part 1* [00:08:42] On Moats - Size, Data* [00:11:34] Open Source Models are Comparable on Data* [00:13:04] Stackable LoRA* [00:19:44] The Need for Special Purpose Optimized Models* [00:21:12] Modular - Mojo from Chris Lattner* [00:23:33] The Promise of Language Supersets* [00:28:44] Google AI Strategy* [00:29:58] Zuck Releasing LLaMA* [00:30:42] Google Origin Confirmed* [00:30:57] Google's existential threat* [00:32:24] Non-Fiction AI Safety ("y-risk")* [00:35:17] Prompt Injection* [00:36:00] Google vs OpenAI* [00:41:04] Personal plugs: Simon and TravisTranscripts[00:00:00] Introducing the Google Memo[00:00:00] Simon Willison: So, yeah, this is a document, which Kate, which I first saw at three o'clock this morning, I think. It claims to be leaked from Google. There's good reasons to believe it is leaked from Google, and to be honest, if it's not, it doesn't actually matter because the quality of the analysis, I think stands alone.[00:00:15] If this was just a document by some anonymous person, I'd still think it was interesting and worth discussing. And the title of the document is We Have No Moat and neither does Open ai. And the argument it makes is that while Google and OpenAI have been competing on training bigger and bigger language models, the open source community is already starting to outrun them, given only a couple of months of really like really, really serious activity.[00:00:41] You know, Facebook lama was the thing that really kicked us off. There were open source language models like Bloom before that some G P T J, and they weren't very impressive. Like nobody was really thinking that they were. Chat. G P T equivalent Facebook Lama came out in March, I think March 15th. And was the first one that really sort of showed signs of being as capable maybe as chat G P T.[00:01:04] My, I don't, I think all of these models, they've been, the analysis of them has tend to be a bit hyped. Like I don't think any of them are even quite up to GT 3.5 standards yet, but they're within spitting distance in some respects. So anyway, Lama came out and then, Two weeks later Stanford Alpaca came out, which was fine tuned on top of Lama and was a massive leap forward in terms of quality.[00:01:27] And then a week after that Vicuna came out, which is to this date, the the best model I've been able to run on my own hardware. I, on my mobile phone now, like, it's astonishing how little resources you need to run these things. But anyway, the the argument that this paper made, which I found very convincing is it only took open source two months to get this far.[00:01:47] It's now every researcher in the world is kicking it on new, new things, but it feels like they're being there. There are problems that Google has been trying to solve that the open source models are already addressing, and really how do you compete with that, like with your, it's closed ecosystem, how are you going to beat these open models with all of this innovation going on?[00:02:04] But then the most interesting argument in there is it talks about the size of models and says that maybe large isn't a competitive advantage, maybe actually a smaller model. With lots of like different people fine tuning it and having these sort of, these LoRA l o r a stackable fine tuning innovations on top of it, maybe those can move faster.[00:02:23] And actually having to retrain your giant model every few months from scratch is, is way less useful than having small models that you can tr you can fine tune in a couple of hours on laptop. So it's, it's fascinating. I basically, if you haven't read this thing, you should read every word of it. It's not very long.[00:02:40] It's beautifully written. Like it's, it's, I mean, If you try and find the quotable lines in it, almost every line of it's quotable. Yeah. So, yeah, that's that, that, that's the status of this[00:02:48] Open Source > Closed?[00:02:48] swyx: thing. That's a wonderful summary, Simon. Yeah, there, there's so many angles we can take to this. I, I'll just observe one, one thing which if you think about the open versus closed narrative, Ima Mok, who is the CEO of Stability, has always been that open will trail behind closed, because the closed alternatives can always take.[00:03:08] Learnings and lessons from open source. And this is the first highly credible statement that is basically saying the exact opposite, that open source is moving than, than, than closed source. And they are scared. They seem to be scared. Which is interesting,[00:03:22] Travis Fischer: Travis. Yeah, the, the, the, a few things that, that I'll, I'll, I'll say the only thing which can keep up with the pace of AI these days is open source.[00:03:32] I think we're, we're seeing that unfold in real time before our eyes. And. You know, I, I think the other interesting angle of this is to some degree LLMs are they, they don't really have switching costs. They are going to be, become commoditized. At least that's, that's what a lot of, a lot of people kind of think to, to what extent is it Is it a, a rate in terms of, of pricing of these things?[00:03:55] , and they all kind of become roughly the, the, the same in, in terms of their, their underlying abilities. And, and open source is gonna, gonna be actively pushing, pushing that forward. And, and then this is kind of coming from, if it is to be believed the kind of Google or an insider type type mentality around you know, where is the actual competitive advantage?[00:04:14] What should they be focusing on? How can they get back in into the game? When you know, when, when, when, when currently the, the, the external view of, of Google is that they're kind of spinning their wheels and they have this code red,, and it's like they're, they're playing catch up already.[00:04:28] Like how could they use the open source community and work with them, which is gonna be really, really hard you know, from a structural perspective given Google's place in the ecosystem. But a, a lot, lot, a lot of jumping off points there.[00:04:42] Alessio Fanelli: I was gonna say, I think the Post is really focused on how do we get the best model, but it's not focused on like, how do we build the best product around it.[00:04:50] A lot of these models are limited by how many GPUs you can get to run them and we've seen on traditional open source, like everybody can use some of these projects like Kafka and like Alaska for free. But the reality is that not everybody can afford to run the infrastructure needed for it.[00:05:05] So I, I think like the main takeaway that I have from this is like, A lot of the moats are probably around just getting the, the sand, so to speak, and having the GPUs to actually serve these models. Because even if the best model is open source, like running it at large scale for an end is not easy and like, it's not super convenient to get a lot, a lot of the infrastructure.[00:05:27] And we've seen that model work in open source where you have. The opensource project, and then you have a enterprise cloud hosted version for it. I think that's gonna look really different in opensource models because just hosting a model doesn't have a lot of value. So I'm curious to hear how people end up getting rewarded to do opensource.[00:05:46] You know, it's, we figured that out in infrastructure, but we haven't figured it out in in Alans[00:05:51] Running Models On Device[00:05:51] Simon Willison: yet. I mean, one thing I'll say is that the the models that you can run on your own devices are so far ahead of what I ever dreamed they would be at this point. Like Vicuna 13 b i i, I, I think is the current best available open mo model that I've played with.[00:06:08] It's derived from Facebook Lama, so you can't use it for commercial purposes yet. But the point about MCK 13 B is it runs in the browser directly on web gpu. There's this amazing web l l M project where you literally, your browser downloaded a two gigabyte file. And it fires up a chat g D style interface and it's quite good.[00:06:27] It can do rap battles between different animals and all of the kind of fun stuff that you'd expect to be able to do the language model running entirely in Chrome canary. It's shocking to me that that's even possible, but that kind of shows that once, once you get to inference, if you can shrink the model down and the techniques for shrinking these models, the, the first one was the the quantization.[00:06:48] Which the Lama CPP project really sort of popularized Matt can by using four bits instead of 16 bit floating point numbers, you can shrink it down quite a lot. And then there was a paper that came out days ago suggesting that you can prune the models and ditch half the model and maintain the same level of quality.[00:07:05] So with, with things like that, with all of these tricks coming together, it's really astonishing how much you can get done on hardware that people actually have in their pockets even.[00:07:15] swyx: Just for completion I've been following all of your posts. Oh, sorry. Yes. I just wanna follow up, Simon. You're, you said you're running a model on your phone. Which model is it? And I don't think you've written it up.[00:07:27] Simon Willison: Yeah, that one's vina. I did, did I write it up? I did. I've got a blog post about how it it, it, it knows who I am, sort of, but it said that I invented a, a, a pattern for living called bear or bunny pattern, which I definitely didn't, but I loved that my phone decided that I did.[00:07:44] swyx: I will hunt for that because I'm not yet running Vic on my phone and I feel like I should and, and as like a very base thing, but I'll, okay.[00:07:52] Stackable LoRA Modules[00:07:52] swyx: Also, I'll follow up two things, right? Like one I'm very interesting and let's, let's talk about that a little bit more because this concept of stackable improvements to models I think is extremely interesting.[00:08:00] Like, I would love to MPM install abilities onto my models, right? Which is really awesome. But the, the first thing thing is under-discussed is I don't get the panic. Like, honestly, like Google has the most moats. I I, I was arguing maybe like three months ago on my blog. Like Google has the most mote out of a lot of people because, hey, we have your calendar.[00:08:21] Hey, we have your email. Hey, we have your you know, Google Docs. Like, isn't that a, a sufficient mode? Like, why are these guys panicking so much? I don't, I still don't get it. Like, Sure open source is running ahead and like, it's, it's on device and whatev, what have you, but they have so much more mode.[00:08:36] Like, what are we talking about here? There's many dimensions to compete on.[00:08:42] On Moats - Size, Data[00:08:42] Travis Fischer: Yeah, there's like one of, one of the, the things that, that the author you know, mentions in, in here is when, when you start to, to, to have the feeling of what we're trailing behind, then you're, you're, you're, you're brightest researchers jump ship and go to OpenAI or go to work at, at, at academia or, or whatever.[00:09:00] And like the talent drain. At the, the level of the, the senior AI researchers that are pushing these things ahead within Google, I think is a serious, serious concern. And my, my take on it's a good point, right? Like, like, like, like what Google has modes. They, they, they're not running outta money anytime soon.[00:09:16] You know, I think they, they do see the level of the, the defensibility and, and the fact that they want to be, I'll chime in the, the leader around pretty much anything. Tech first. There's definitely ha ha have lost that, that, that feeling. Right? , and to what degree they can, they can with the, the open source community to, to get that back and, and help drive that.[00:09:38] You know all of the llama subset of models with, with alpaca and Vicuna, et cetera, that all came from, from meta. Right. Like that. Yeah. Like it's not licensed in an open way where you can build a company on top of it, but is now kind of driving this family of, of models, like there's a tree of models that, that they're, they're leading.[00:09:54] And where is Google in that, in that playbook? Like for a long time they were the one releasing those models being super open and, and now it's just they, they've seem to be trailing and there's, there's people jumping ship and to what degree can they, can they, can they. Close off those wounds and, and focus on, on where, where they, they have unique ability to, to gain momentum.[00:10:15] I think is a core part of my takeaway from this. Yeah.[00:10:19] Alessio Fanelli: And think another big thing in the post is, oh, as long as you have high quality data, like you don't need that much data, you can just use that. The first party data loops are probably gonna be the most important going forward if we do believe that this is true.[00:10:32] So, Databricks. We have Mike Conover from Databricks on the podcast, and they talked about how they came up with the training set for Dolly, which they basically had Databricks employees write down very good questions and very good answers for it. Not every company as the scale to do that. And I think products like Google, they have millions of people writing Google Docs.[00:10:54] They have millions of people using Google Sheets, then millions of people writing stuff, creating content on YouTube. The question is, if you wanna compete against these companies, maybe the model is not what you're gonna do it with because the open source kind of commoditizes it. But how do you build even better data?[00:11:12] First party loops. And that's kind of the hardest thing for startups, right? Like even if we open up the, the models to everybody and everybody can just go on GitHub and. Or hugging face and get the waste to the best model, but get enough people to generate data for me so that I can still make it good. That's, that's what I would be worried about if I was a, a new company.[00:11:31] How do I make that happen[00:11:32] Simon Willison: really quickly?[00:11:34] Open Source Models are Comparable on Data[00:11:34] Simon Willison: I'm not convinced that the data is that big a challenge. So there's this PO project. So the problem with Facebook LAMA is that it's not available for, for commercial use. So people are now trying to train a alternative to LAMA that's entirely on openly licensed data.[00:11:48] And that the biggest project around that is this red pajama project, which They released their training data a few weeks ago and it was 2.7 terabytes. Right? So actually tiny, right? You can buy a laptop that you can fit 2.7 terabytes on. Got it. But it was the same exact data that Facebook, the same thing that Facebook Lamb had been trained on.[00:12:06] Cuz for your base model. You're not really trying to teach it fact about the world. You're just trying to teach it how English and other languages work, how they fit together. And then the real magic is when you fine tune on top of that. That's what Alpaca did on top of Lama and so on. And the fine tuning sets, it looks like, like tens of thousands of examples to kick one of these role models into shape.[00:12:26] And tens of thousands of examples like Databricks spent a month and got the 2000 employees of their company to help kick in and it worked. You've got the open assistant project of crowdsourcing this stuff now as well. So it's achievable[00:12:40] swyx: sore throat. I agree. I think it's a fa fascinating point. Actually, so I've heard through the grapevine then red pajamas model.[00:12:47] Trained on the, the data that they release is gonna be releasing tomorrow. And it's, it's this very exciting time because the, the, there, there's a, there's a couple more models that are coming down the pike, which independently we produced. And so yeah, that we, everyone is challenging all these assumptions from, from first principles, which is fascinating.[00:13:04] Stackable LoRA[00:13:04] swyx: I, I did, I did wanted to, to like try to get a little bit more technical in terms of like the, the, the, the specific points race. Cuz this doc, this doc was just amazing. Can we talk about LoRA. I, I, I'll open up to Simon again if he's back.[00:13:16] Simon Willison: I'd rather someone else take on. LoRA, I've, I, I know as much as I've read in that paper, but not much more than that.[00:13:21] swyx: So I thought it was this kind of like an optimization technique. So LoRA stands for lower rank adaptation. But this is the first mention of LoRA as a form of stackable improvements. Where he I forget what, let, just, let me just kind of Google this. But obviously anyone's more knowledgeable please.[00:13:39] So come on in.[00:13:40] Alessio Fanelli: I, all of Lauren is through GTS Man, about 20 minutes on GT four, trying to figure out word. It was I study computer science, but this is not this is not my area of expertise. What I got from it is that basically instead of having to retrain the whole model you can just pick one of the ranks and you take.[00:13:58] One of like the, the weight matrix tests and like make two smaller matrixes from it and then just two to be retrained and training the whole model. So[00:14:08] swyx: it save a lot of Yeah. You freeze part of the thing and then you just train the smaller part like that. Exactly. That seems to be a area of a lot of fruitful research.[00:14:15] Yeah. I think Mini GT four recently did something similar as well. And then there's, there's, there's a, there's a Spark Model people out today that also did the same thing.[00:14:23] Simon Willison: So I've seen a lot of LoRA stable, the stable diffusion community has been using LoRA a lot. So they, in that case, they had a, I, the thing I've seen is people releasing LoRA's that are like you, you train a concept like a, a a particular person's face or something you release.[00:14:38] And the, the LoRA version of this end up being megabytes of data, like, which is, it's. You know, it's small enough that you can just trade those around and you can effectively load multiple of those into the model. But what I haven't realized is that you can use the same trick on, on language models. That was one of the big new things for me in reading the the leaks Google paper today.[00:14:56] Alessio Fanelli: Yeah, and I think the point to make around on the infrastructure, so what tragedy has told me is that when you're figuring out what rank you actually wanna do this fine tuning at you can have either go too low and like the model doesn't actually learn it. Or you can go too high and the model overfit those learnings.[00:15:14] So if you have a base model that everybody agrees on, then all the subsequent like LoRA work is done around the same rank, which gives you an advantage. And the point they made in the, that, since Lama has been the base for a lot of this LoRA work like they own. The, the mind share of the community.[00:15:32] So everything that they're building is compatible with their architecture. But if Google Opensources their own model the rank that they chose For LoRA on Lama might not work on the Google model. So all of the existing work is not portable. So[00:15:46] Simon Willison: the impression I got is that one of the challenges with LoRA is that you train all these LoRAs on top of your model, but then if you retrain that base model as LoRA's becoming invalid, right?[00:15:55] They're essentially, they're, they're, they're built for an exact model version. So this means that being the big company with all of the GPUs that can afford to retrain a model every three months. That's suddenly not nearly as valuable as it used to be because now maybe there's an open source model that's five years old at this point and has like multiple, multiple stacks of LoRA's trained all over the world on top of it, which can outperform your brand new model just because there's been so much more iteration on that base.[00:16:20] swyx: I, I think it's, I think it's fascinating. It's I think Jim Fan from Envidia was recently making this argument for transformers. Like even if we do come up with a better. Architecture, then transformers, they're the sheer hundreds and millions of dollars that have been invested on top of transformers.[00:16:34] Make it actually there is some switching costs and it's not exactly obvious that better architecture. Equals equals we should all switch immediately tomorrow. It's, it's, it's[00:16:44] Simon Willison: kinda like the, the difficulty of launching a new programming language today Yes. Is that pipeline and JavaScript have a million packages.[00:16:51] So no matter how good your new language is, if it can't tap into those existing package libraries, it's, it's not gonna be useful for, which is why Moji is so clever, because they did build on top of Pips. They get all of that existing infrastructure, all of that existing code working already.[00:17:05] swyx: I mean, what, what thought you, since you co-create JAO and all that do, do we wanna take a diversion into mojo?[00:17:10] No, no. I[00:17:11] Travis Fischer: would, I, I'd be happy to, to, to jump in, and get Simon's take on, on Mojo. 1, 1, 1 small, small point on LoRA is I, I, I just think. If you think about at a high level, what the, the major down downsides are of these, these large language models. It's the fact that they well they're, they're, they're difficult to, to train, right?[00:17:32] They, they tend to hallucinate and they are, have, have a static, like, like they were trained at a certain date, right? And with, with LoRA, I think it makes it a lot more amenable to Training new, new updates on top of that, that like base model on the fly where you can incorporate new, new data and in a way that is, is, is an interesting and potentially more optimal alternative than Doing the kind of in context generation cuz, cuz most of like who at perplexity AI or, or any of these, these approaches currently, it's like all based off of doing real-time searches and then injecting as much into the, the, the local context window as possible so that you, you try to ground your, your, your, your language model.[00:18:16] Both in terms of the, the information it has access to that, that, that helps to reduce hallucinations. It can't reduce it, but helps to reduce it and then also gives it access to up-to-date information that wasn't around for that, that massive like, like pre-training step. And I think LoRA in, in, in mine really makes it more, more amenable to having.[00:18:36] Having constantly shifting lightweight pre-training on top of it that scales better than than normal. Pre I'm sorry. Fine tune, fine tuning. Yeah, that, that was just kinda my one takeaway[00:18:45] Simon Willison: there. I mean, for me, I've never been, I want to run models on my own hard, I don't actually care about their factual content.[00:18:52] Like I don't need a model that's been, that's trained on the most upstate things. What I need is a model that can do the bing and bar trick, right? That can tell when it needs to run a search. And then go and run a search to get extra information and, and bring that context in. And similarly, I wanted to be able to operate tools where it can access my email or look at my notes or all of those kinds of things.[00:19:11] And I don't think you need a very powerful model for that. Like that's one of the things where I feel like, yeah, vicuna running on my, on my laptop is probably powerful enough to drive a sort of personal research assistant, which can look things up for me and it can summarize things for my notes and it can do all of that and I don't care.[00:19:26] But it doesn't know about the Ukraine war because the Ukraine war training cutoff, that doesn't matter. If it's got those additional capabilities, which are quite easy to build the reason everyone's going crazy building agents and tools right now is that it's a few lines of Python code, and a sort of couple of paragraphs to get it to.[00:19:44] The Need for Special Purpose Optimized Models[00:19:44] Simon Willison: Well, let's, let's,[00:19:45] Travis Fischer: let's maybe dig in on that a little bit. And this, this also is, is very related to mojo. Cuz I, I do think there are use cases and domains where having the, the hyper optimized, like a version of these models running on device is, is very relevant where you can't necessarily make API calls out on the fly.[00:20:03] and Aug do context, augmented generation. And I was, I was talking with, with a a researcher. At Lockheed Martin yesterday, literally about like, like the, the version of this that's running of, of language models running on, on fighter jets. Right? And you, you talk about like the, the, the amount of engineering, precision and optimization that has to go into, to those type of models.[00:20:25] And the fact that, that you spend so much money, like, like training a super distilled ver version where milliseconds matter it's a life or death situation there. You know, and you couldn't even, even remotely ha ha have a use case there where you could like call out and, and have, have API calls or something.[00:20:40] So I, I do think there's like keeping in mind the, the use cases where, where. There, there'll be use cases that I'm more excited about at, at the application level where, where, yeah, I want to to just have it be super flexible and be able to call out to APIs and have this agentic type type thing.[00:20:56] And then there's also industries and, and use cases where, where you really need everything baked into the model.[00:21:01] swyx: Yep. Agreed. My, my favorite piece take on this is I think DPC four as a reasoning engine, which I think came from the from Nathan at every two. Which I think, yeah, I see the hundred score over there.[00:21:12] Modular - Mojo from Chris Lattner[00:21:12] swyx: Simon, do you do you have a, a few seconds on[00:21:14] Simon Willison: mojo. Sure. So Mojo is a brand new program language you just announced a few days ago. It's not actually available yet. I think there's an online demo, but to zooming it becomes an open source language we can use. It's got really some very interesting characteristics.[00:21:29] It's a super set of Python, so anything written in Python, Python will just work, but it adds additional features on top that let you basically do very highly optimized code with written. In Python syntax, it compiles down the the main thing that's exciting about it is the pedigree that it comes from.[00:21:47] It's a team led by Chris Latner, built L L V M and Clang, and then he designed Swift at Apple. So he's got like three, three for three on, on extraordinarily impactful high performance computing products. And he put together this team and they've basically, they're trying to go after the problem of how do you build.[00:22:06] A language which you can do really high performance optimized work in, but where you don't have to do everything again from scratch. And that's where building on top of Python is so clever. So I wasn't like, if this thing came along, I, I didn't really pay attention to it until j Jeremy Howard, who built Fast ai put up a very detailed blog post about why he was excited about Mojo, which included a, there's a video demo in there, which everyone should watch because in that video he takes Matrix multiplication implemented in Python.[00:22:34] And then he uses the mojo extras to 2000 x. The performance of that matrix multiplication, like he adds a few static types functions sort of struck instead of the class. And he gets 2000 times the performance out of it, which is phenomenal. Like absolutely extraordinary. So yeah, that, that got me really excited.[00:22:52] Like the idea that we can still use Python and all of this stuff we've got in Python, but we can. Just very slightly tweak some things and get literally like thousands times upwards performance out of the things that matter. That's really exciting.[00:23:07] swyx: Yeah, I, I, I'm curious, like, how come this wasn't thought of before?[00:23:11] It's not like the, the, the concept of a language super set hasn't hasn't, has, has isn't, is completely new. But all, as far as I know, all the previous Python interpreter approaches, like the alternate runtime approaches are like they, they, they're more, they're more sort of, Fit conforming to standard Python, but never really tried this additional approach of augmenting the language.[00:23:33] The Promise of Language Supersets[00:23:33] swyx: I, I'm wondering if you have many insights there on, like, why, like why is this a, a, a breakthrough?[00:23:38] Simon Willison: Yeah, that's a really interesting question. So, Jeremy Howard's piece talks about this thing called M L I R, which I hadn't heard of before, but this was another Chris Latner project. You know, he built L L VM as a low level virtual machine.[00:23:53] That you could build compilers on top of. And then M L I R was this one that he initially kicked off at Google, and I think it's part of TensorFlow and things like that. But it was very much optimized for multiple cores and GPU access and all of that kind of thing. And so my reading of Jeremy Howard's article is that they've basically built Mojo on top of M L I R.[00:24:13] So they had a huge, huge like a starting point where they'd, they, they knew this technology better than anyone else. And because they had this very, very robust high performance basis that they could build things on. I think maybe they're just the first people to try and build a high, try and combine a high level language with M L A R, with some extra things.[00:24:34] So it feels like they're basically taking a whole bunch of ideas people have been sort of experimenting with over the last decade and bundled them all together with exactly the right team, the right level of expertise. And it looks like they've got the thing to work. But yeah, I mean, I've, I've, I'm. Very intrigued to see, especially once this is actually available and we can start using it.[00:24:52] It, Jeremy Howard is someone I respect very deeply and he's, he's hyping this thing like crazy, right? His headline, his, and he's not the kind of person who hypes things if they're not worth hyping. He said Mojo may be the biggest programming language advanced in decades. And from anyone else, I'd kind of ignore that headline.[00:25:09] But from him it really means something.[00:25:11] swyx: Yes, because he doesn't hype things up randomly. Yeah, and, and, and he's a noted skeptic of Julia which is, which is also another data science hot topic. But from the TypeScript and web, web development worlds there has been a dialect of TypeScript that was specifically optimized to compile, to web assembly which I thought was like promising and then, and, and eventually never really took off.[00:25:33] But I, I like this approach because I think more. Frameworks should, should essentially be languages and recognize that they're language superset and maybe working compilers that that work on them. And then that is the, by the way, that's the direction that React is going right now. So fun times[00:25:50] Simon Willison: type scripts An interesting comparison actually, cuz type script is effectively a superset of Java script, right?[00:25:54] swyx: It's, but there's no, it's purely[00:25:57] Simon Willison: types, right? Gotcha. Right. So, so I guess mojo is the soup set python, but the emphasis is absolutely on tapping into the performance stuff. Right.[00:26:05] swyx: Well, the just things people actually care about.[00:26:08] Travis Fischer: Yeah. The, the one thing I've found is, is very similar to the early days of type script.[00:26:12] There was the, the, the, the most important thing was that it's incrementally adoptable. You know, cuz people had a script code basis and, and they wanted to incrementally like add. The, the, the main value prop for TypeScript was reliability and the, the, the, the static typing. And with Mojo, Lucia being basically anyone who's a target a large enterprise user of, of Mojo or even researchers, like they're all going to be coming from a, a hardcore.[00:26:36] Background in, in Python and, and have large existing libraries. And the the question will be for what use cases will mojo be like a, a, a really good fit for that incremental adoption where you can still tap into your, your, your massive, like python exi existing infrastructure workflows, data tooling, et cetera.[00:26:55] And, and what does, what does that path to adoption look like?[00:26:59] swyx: Yeah, we, we, we don't know cuz it's a wait listed language which people were complaining about. They, they, the, the mojo creators were like saying something about they had to scale up their servers. And I'm like, what language requires essential server?[00:27:10] So it's a little bit suss, a little bit, like there's a, there's a cloud product already in place and they're waiting for it. But we'll see. We'll see. I mean, emojis should be promising in it. I, I actually want more. Programming language innovation this way. You know, I was complaining years ago that programming language innovation is all about stronger types, all fun, all about like more functional, more strong types everywhere.[00:27:29] And, and this is, the first one is actually much more practical which I, which I really enjoy. This is why I wrote about self provisioning run types.[00:27:36] Simon Willison: And[00:27:37] Alessio Fanelli: I mean, this is kind of related to the post, right? Like if you stop all of a sudden we're like, the models are all the same and we can improve them.[00:27:45] Like, where can we get the improvements? You know, it's like, Better run times, better languages, better tooling, better data collection. Yeah. So if I were a founder today, I wouldn't worry as much about the model, maybe, but I would say, okay, what can I build into my product and like, or what can I do at the engineering level that maybe it's not model optimization because everybody's working on it, but like you said, it's like, why haven't people thought of this before?[00:28:09] It's like, it's, it's definitely super hard, but I'm sure that if you're like Google or you're like open AI or you're like, Databricks, we got smart enough people that can think about these problems, so hopefully we see more of this.[00:28:21] swyx: You need, Alan? Okay. I promise to keep this relatively tight. I know Simon on a beautiful day.[00:28:27] It is a very nice day in California. I wanted to go through a few more points that you have pulled out Simon and, and just give you the opportunity to, to rant and riff and, and what have you. I, I, are there any other points from going back to the sort of Google OpenAI mode documents that, that you felt like we, we should dive in on?[00:28:44] Google AI Strategy[00:28:44] Simon Willison: I mean, the really interesting stuff there is the strategy component, right? The this idea that that Facebook accidentally stumbled into leading this because they put out this model that everyone else is innovating on top of. And there's a very open question for me as to would Facebook relic Lama to allow for commercial usage?[00:29:03] swyx: Is there some rumor? Is that, is that today?[00:29:06] Simon Willison: Is there a rumor about that?[00:29:07] swyx: That would be interesting? Yeah, I saw, I saw something about Zuck saying that he would release the, the Lama weights officially.[00:29:13] Simon Willison: Oh my goodness. No, that I missed. That is, that's huge.[00:29:17] swyx: Let me confirm the tweet. Let me find the tweet and then, yeah.[00:29:19] Okay.[00:29:20] Simon Willison: Because actually I met somebody from Facebook machine learning research a couple of weeks ago, and I, I pressed 'em on this and they said, basically they don't think it'll ever happen because if it happens, and then somebody does horrible fascist stuff with this model, all of the headlines will be Meg releases a monster into the world.[00:29:36] So, so hi. His, the, the, the, a couple of weeks ago, his feeling was that it's just too risky for them to, to allow it to be used like that. But a couple of weeks is, is, is a couple of months in AI world. So yeah, it wouldn't be, it feels to me like strategically Facebook should be jumping right on this because this puts them at the very.[00:29:54] The very lead of, of open source innovation around this stuff.[00:29:58] Zuck Releasing LLaMA[00:29:58] swyx: So I've pinned the tweet talking about Zuck and Zuck saying that meta will open up Lama. It's from the founder of Obsidian, which gives it a slight bit more credibility, but it is the only. Tweet that I can find about it. So completely unsourced,[00:30:13] we shall see. I, I, I mean I have friends within meta, I should just go ask them. But yeah, I, I mean one interesting angle on, on the memo actually is is that and, and they were linking to this in, in, in a doc, which is apparently like. Facebook got a bunch of people to do because they, they never released it for commercial use, but a lot of people went ahead anyway and, and optimized and, and built extensions and stuff.[00:30:34] They, they got a bunch of free work out of opensource, which is an interesting strategy.[00:30:39] There's okay. I don't know if I.[00:30:42] Google Origin Confirmed[00:30:42] Simon Willison: I've got exciting piece of news. I've just heard from somebody with contacts at Google that they've heard people in Google confirm the leak. That that document wasn't even legit Google document, which I don't find surprising at all, but I'm now up to 10, outta 10 on, on whether that's, that's, that's real.[00:30:57] Google's existential threat[00:30:57] swyx: Excellent. Excellent. Yeah, it is fascinating. Yeah, I mean the, the strategy is, is, is really interesting. I think Google has been. Definitely sleeping on monetizing. You know, I, I, I heard someone call when Google Brain and Devrel I merged that they would, it was like goodbye to the Xerox Park of our era and it definitely feels like Google X and Google Brain would definitely Xerox parks of our, of our era, and I guess we all benefit from that.[00:31:21] Simon Willison: So, one thing I'll say about the, the Google side of things, like the there was a question earlier, why are Google so worried about this stuff? And I think it's, it's just all about the money. You know, the, the, the engine of money at Google is Google searching Google search ads, and who uses Chachi PT on a daily basis, like me, will have noticed that their usage of Google has dropped like a stone.[00:31:41] Because there are many, many questions that, that chat, e p t, which shows you no ads at all. Is, is, is a better source of information for than Google now. And so, yeah, I'm not, it doesn't surprise me that Google would see this as an existential threat because whether or not they can be Bard, it's actually, it's not great, but it, it exists, but it hasn't it yet either.[00:32:00] And if I've got a Chatbook chatbot that's not showing me ads and chatbot that is showing me ads, I'm gonna pick the one that's not showing[00:32:06] swyx: me ads. Yeah. Yeah. I, I agree. I did see a prototype of Bing with ads. Bing chat with ads. I haven't[00:32:13] Simon Willison: seen the prototype yet. No.[00:32:15] swyx: Yeah, yeah. Anyway, I I, it, it will come obviously, and then we will choose, we'll, we'll go out of our ways to avoid ads just like we always do.[00:32:22] We'll need ad blockers and chat.[00:32:23] Excellent.[00:32:24] Non-Fiction AI Safety ("y-risk")[00:32:24] Simon Willison: So I feel like on the safety side, the, the safety side, there are basically two areas of safety that I, I, I sort of split it into. There's the science fiction scenarios, the AI breaking out and killing all humans and creating viruses and all of that kind of thing. The sort of the terminated stuff. And then there's the the.[00:32:40] People doing bad things with ai and that's latter one is the one that I think is much more interesting and that cuz you could u like things like romance scams, right? Romance scams already take billions of dollars from, from vulner people every year. Those are very easy to automate using existing tools.[00:32:56] I'm pretty sure for QNA 13 b running on my laptop could spin up a pretty decent romance scam if I was evil and wanted to use it for them. So that's the kind of thing where, I get really nervous about it, like the fact that these models are out there and bad people can use these bad, do bad things.[00:33:13] Most importantly at scale, like romance scamming, you don't need a language model to pull off one romance scam, but if you wanna pull off a thousand at once, the language model might be the, the thing that that helps you scale to that point. And yeah, in terms of the science fiction stuff and also like a model on my laptop that can.[00:33:28] Guess what comes next in a sentence. I'm not worried that that's going to break out of my laptop and destroy the world. There. There's, I'm get slightly nervous about the huge number of people who are trying to build agis on top of this models, the baby AGI stuff and so forth, but I don't think they're gonna get anywhere.[00:33:43] I feel like if you actually wanted a model that was, was a threat to human, a language model would be a tiny corner of what that thing. Was actually built on top of, you'd need goal setting and all sorts of other bits and pieces. So yeah, for the moment, the science fiction stuff doesn't really interest me, although it is a little bit alarming seeing more and more of the very senior figures in this industry sort of tip the hat, say we're getting a little bit nervous about this stuff now.[00:34:08] Yeah.[00:34:09] swyx: So that would be Jeff Iton and and I, I saw this me this morning that Jan Lacoon was like happily saying, this is fine. Being the third cheer award winner.[00:34:20] Simon Willison: But you'll see a lot of the AI safe, the people who've been talking about AI safety for the longest are getting really angry about science fiction scenarios cuz they're like, no, the, the thing that we need to be talking about is the harm that you can cause with these models right now today, which is actually happening and the science fiction stuff kind of ends up distracting from that.[00:34:36] swyx: I love it. You, you. Okay. So, so Uher, I don't know how to pronounce his name. Elier has a list of ways that AI will kill us post, and I think, Simon, you could write a list of ways that AI will harm us, but not kill us, right? Like the, the, the non-science fiction actual harm ways, I think, right? I haven't seen a, a actual list of like, hey, romance scams spam.[00:34:57] I, I don't, I don't know what else, but. That could be very interesting as a Hmm. Okay. Practical. Practical like, here are the situations we need to guard against because they are more real today than that we need to. Think about Warren, about obviously you've been a big advocate of prompt injection awareness even though you can't really solve them, and I, I worked through a scenario with you, but Yeah,[00:35:17] Prompt Injection[00:35:17] Simon Willison: yeah.[00:35:17] Prompt injection is a whole other side of this, which is, I mean, that if you want a risk from ai, the risk right now is everyone who's building puts a building systems that attackers can trivially subvert into stealing all of their private data, unlocking their house, all of that kind of thing. So that's another very real risk that we have today.[00:35:35] swyx: I think in all our personal bios we should edit in prompt injections already, like in on my website, I wanna edit in a personal prompt injections so that if I get scraped, like I all know if someone's like reading from a script, right? That that is generated by any iBot. I've[00:35:49] Simon Willison: seen people do that on LinkedIn already and they get, they get recruiter emails saying, Hey, I didn't read your bio properly and I'm just an AI script, but would you like a job?[00:35:57] Yeah. It's fascinating.[00:36:00] Google vs OpenAI[00:36:00] swyx: Okay. Alright, so topic. I, I, I think, I think this this, this mote is is a peak under the curtain of the, the internal panic within Google. I think it is very val, very validated. I'm not so sure they should care so much about small models or, or like on device models.[00:36:17] But the other stuff is interesting. There is a comment at the end that you had by about as for opening open is themselves, open air, doesn't matter. So this is a Google document talking about Google's position in the market and what Google should be doing. But they had a comment here about open eye.[00:36:31] They also say open eye had no mode, which is a interesting and brave comment given that open eye is the leader in, in a lot of these[00:36:38] Simon Willison: innovations. Well, one thing I will say is that I think we might have identified who within Google wrote this document. Now there's a version of it floating around with a name.[00:36:48] And I look them up on LinkedIn. They're heavily involved in the AI corner of Google. So my guess is that at Google done this one, I've worked for companies. I'll put out a memo, I'll write up a Google doc and I'll email, email it around, and it's nowhere near the official position of the company or of the executive team.[00:37:04] It's somebody's opinion. And so I think it's more likely that this particular document is somebody who works for Google and has an opinion and distributed it internally and then it, and then it got leaked. I dunno if it's necessarily. Represents Google's sort of institutional thinking about this? I think it probably should.[00:37:19] Again, this is such a well-written document. It's so well argued that if I was an executive at Google and I read that, I would, I would be thinking pretty hard about it. But yeah, I don't think we should see it as, as sort of the official secret internal position of the company. Yeah. First[00:37:34] swyx: of all, I might promote that person.[00:37:35] Cuz he's clearly more,[00:37:36] Simon Willison: oh, definitely. He's, he's, he's really, this is a, it's, I, I would hire this person about the strength of that document.[00:37:42] swyx: But second of all, this is more about open eye. Like I'm not interested in Google's official statements about open, but I was interested like his assertion, open eye.[00:37:50] Doesn't have a mote. That's a bold statement. I don't know. It's got the best people.[00:37:55] Travis Fischer: Well, I, I would, I would say two things here. One, it's really interesting just at a meta, meta point that, that they even approached it this way of having this public leak. It, it, it kind of, Talks a little bit to the fact that they, they, they felt that that doing do internally, like wasn't going to get anywhere or, or maybe this speaks to, to some of the like, middle management type stuff or, or within Google.[00:38:18] And then to the, the, the, the point about like opening and not having a moat. I think for, for large language models, it, it, it will be over, over time kind of a race to the bottom just because the switching costs are, are, are so low compared with traditional cloud and sas. And yeah, there will be differences in, in, in quality, but, but like over time, if you, you look at the limit of these things like the, I I think Sam Altman has been quoted a few times saying that the, the, the price of marginal price of intelligence will go to zero.[00:38:47] Time and the marginal price of energy powering that intelligence will, will also hit over time. And in that world, if you're, you're providing large language models, they become commoditized. Like, yeah. What, what is, what is your mode at that point? I don't know. I think they're e extremely well positioned as a team and as a company for leading this space.[00:39:03] I'm not that, that worried about that, but it is something from a strategic point of view to keep in mind about large language models becoming a commodity. So[00:39:11] Simon Willison: it's quite short, so I think it's worth just reading the, in fact, that entire section, it says epilogue. What about open ai? All of this talk of open source can feel unfair given open AI's current closed policy.[00:39:21] Why do we have to share if they won't? That's talking about Google sharing, but the fact of the matter is we are already sharing everything with them. In the form of the steady flow of poached senior researchers until we spent that tide. Secrecy is a moot point. I love that. That's so salty. And, and in the end, open eye doesn't matter.[00:39:38] They are making the same mistakes that we are in their posture relative to open source. And their ability to maintain an edge is necessarily in question. Open source alternatives. Canned will eventually eclipse them. Unless they change their stance in this respect, at least we can make the first move. So the argument this, this paper is making is that Google should go, go like meta and, and just lean right into open sourcing it and engaging with the wider open source community much more deeply, which OpenAI have very much signaled they are not willing to do.[00:40:06] But yeah, it's it's, it's read the whole thing. The whole thing is full of little snippets like that. It's just super fun. Yes,[00:40:12] swyx: yes. Read the whole thing. I, I, I also appreciate that the timeline, because it set a lot of really great context for people who are out of the loop. So Yeah.[00:40:20] Alessio Fanelli: Yeah. And the final conspiracy theory is that right before Sundar and Satya and Sam went to the White House this morning, so.[00:40:29] swyx: Yeah. Did it happen? I haven't caught up the White House statements.[00:40:34] Alessio Fanelli: No. That I, I just saw, I just saw the photos of them going into the, the White House. I've been, I haven't seen any post-meeting updates.[00:40:41] swyx: I think it's a big win for philanthropic to be at that table.[00:40:44] Alessio Fanelli: Oh yeah, for sure. And co here it's not there.[00:40:46] I was like, hmm. Interesting. Well, anyway,[00:40:50] swyx: yeah. They need, they need some help. Okay. Well, I, I promise to keep this relatively tight. Spaces do tend to have a, have a tendency of dragging on. But before we go, anything that you all want to plug, anything that you're working on currently maybe go around Simon are you still working on dataset?[00:41:04] Personal plugs: Simon and Travis[00:41:04] Simon Willison: I am, I am, I'm having a bit of a, so datasets my open source project that I've been working on. It's about helping people analyze and publish data. I'm having an existential crisis of it at the moment because I've got access to the chat g p T code, interpreter mode, and you can upload the sequel light database to that and it will do all of the things that I, on my roadmap for the next 12 months.[00:41:24] Oh my God. So that's frustrating. So I'm basically, I'm leaning data. My interest in data and AI are, are rapidly crossing over a lot harder about the AI features that I need to build on top of dataset. Make sure it stays relevant in a chat. G p t can do most of the stuff that it does already. But yeah the thing, I'll plug my blog simon willis.net.[00:41:43] I'm now updating it daily with stuff because AI move moved so quickly and I have a sub newsletter, which is effectively my blog, but in email form sent out a couple of times a week, which Please subscribe to that or RSS feed on my blog or, or whatever because I'm, I'm trying to keep track of all sorts of things and I'm publishing a lot at the moment.[00:42:02] swyx: Yes. You, you are, and we love you very much for it because you, you are a very good reporter and technical deep diver into things, into all the things. Thank you, Simon. Travis are you ready to announce the, I guess you've announced it some somewhat. Yeah. Yeah.[00:42:14] Travis Fischer: So I'm I, I just founded a company.[00:42:16] I'm working on a framework for building reliable agents that aren't toys and focused on more constrained use cases. And you know, I I, I look at kind of agi. And these, these audigy type type projects as like jumping all the way to str to, to self-driving. And, and we, we, we kind of wanna, wanna start with some more enter and really focus on, on reliable primitives to, to start that.[00:42:38] And that'll be an open source type script project. I'll be releasing the first version of that soon. And that's, that's it. Follow me you know, on here for, for this type of stuff, I, I, I, everything, AI[00:42:48] swyx: and, and spa, his chat PT bot,[00:42:50] Travis Fischer: while you still can. Oh yeah, the chat VT Twitter bot is about 125,000 followers now.[00:42:55] It's still running. I, I'm not sure if it's your credit. Yeah. Can you say how much you spent actually, No, no. Well, I think probably totally like, like a thousand bucks or something, but I, it's, it's sponsored by OpenAI, so I haven't, I haven't actually spent any real money.[00:43:08] swyx: What? That's[00:43:09] awesome.[00:43:10] Travis Fischer: Yeah. Yeah.[00:43:11] Well, once, once I changed, originally the logo was the Chachi VUI logo and it was the green one, and then they, they hit me up and asked me to change it. So it's now it's a purple logo. And they're, they're, they're cool with that. Yeah.[00:43:21] swyx: Yeah. Sending take down notices to people with G B T stuff apparently now.[00:43:26] So it's, yeah, it's a little bit of a gray area. I wanna write more on, on mos. I've been actually collecting and meaning to write a piece of mos and today I saw the memo, I was like, oh, okay. Like I guess today's the day we talk about mos. So thank you all. Thanks. Thanks, Simon. Thanks Travis for, for jumping on and thanks to all the audience for engaging on this with us.[00:43:42] We'll continue to engage on Twitter, but thanks to everyone. Cool. Thanks everyone. Bye. Alright, thanks everyone. Bye. Get full access to Latent Space at www.latent.space/subscribe
A gente comemora o aniversário do Chorão, do Charlie Brown Jr; tem a estreia da nova do Ed Sheeran; Diego & Victor Hugo conseguem a Subida Máxima e Jão e Anitta que não querem sair do primeiro lugar.
In this episode, Susannah Sharpless (Cornell University) and Charline Jao (Cornell University) propose gossip as a scholarly approach and indulge their desire to talk about other people. Our hosts connect juicy tidbits from the lives of nineteenth-century women writers to questions about the role of biography, identification, and inference in scholarship more broadly. Jao explores the life of Rose Terry Cooke, whose short stories about tyrannical husbands and spinster life seem – at first glance – inconsistent with her own belief systems and later marriage. Sharpless takes us through the story of how interpersonal dislikes emerging from deep-seated political disagreements tore apart the Boston Female Anti-Slavery Society at one fateful meeting in 1840. Engaging with the delightfully comedic aspects of these stories, the two also insist on deep historicist commitments as they present full pictures of the dynamic, messy nineteenth-century literary sphere, populated by narcissists, social climbers, and debauchées, and as well as dreamers and thinkers with a genuine faith in the power of language to create real change. Post-production support was provided by Julia W. Bernier (Washington & Jefferson College). Transcript available at https://bit.ly/S06S02Transcript
Jão e Anitta mostram que não estão para brincadeira e estreiam logo no Top 5; outra estreia é do Matheus e Kauan com a Mari Fernandez. Já Simone Mendes tem logo a Subida Máxima da semana. O The Weeknd é Candidato em mais uma parceria com Ariana Grande e muito mais... vem ouvir!
The third installment of March Madness aka double feature month is here, and Dom is joined by his old friend Jao from Unyolo Movie Blogs to discuss and break down one of the most confusing movie releases of the year, the latest film in the now rendered mute slate of DC films set to release this year, Shazam: Fury of the Gods, along with the premiere of the third and potentially final season of the Apple TV+ smash hit show Ted Lasso. Jao & Dom break down everything from why people fell in love with Ted Lasso in the first place to saying goodbye to it and how it's got a chance to go out on a real high, to their very conflicted feelings about Shazam and how it's the second big superhero release of 2023 that felt dead on arrival due to the never-ending extenuating circumstances around DC Studios. It's once again another interesting conversation, and be sure to keep tuning in for more great content only on the #talkintvpodcast --- Support this podcast: https://podcasters.spotify.com/pod/show/talkintvpodcastgmailcom/support
Lagum lançou EP da sua nova fase; Anitta e Jão quebram tudo com 'Pilantra'; nova música da Taylor Swift e muito mais! Dá play aí!
Preached at the JAO crusade in Delft, voorbrug on the 12th February 2023
Hello Everyone, thanks for clicking on this Podcast! I got to speak with one of my best friends and favorite teammates ever, Jao Ituka! Jao is a sophomore guard for the Wake Forest men's basketball team. In this episode he talks about his transfer to Wake Forest, and his Love for God. Please take some time to hear more about Jao! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/terrence-echols/support
All love to Kyros, hope you enjoy this podcast and the many more to come. This is is very different from most podcasts but really loved this one, thanks Also thanks to Inigo and Jao for coming on --- Send in a voice message: https://anchor.fm/aie23/message
Jao waor geit deze podcast neet euver? Vriendenweekend 2.0 en stikstofproblemen, de politiek, minse die laege, eigenlijk alles oehtgelagd in 61 minuten. Wae dinke nou auk det wae de wereldproblemen verder opgelost hebben, manjig blikken wae hej op truuk en kieke wae of un reflectiemomentje (nou veurbereid) op zien plaats is. Haije!
TOI-5205b: A Jupiter transiting an M dwarf near the Convective Boundary by Shubham Kanodia et al. on Sunday 25 September We present the discovery of TOI-5205b, a transiting Jovian planet orbiting a solar metallicity M4V star, which was discovered using TESS photometry and then confirmed using a combination of precise radial velocities, ground-based photometry, spectra and speckle imaging. The host star TOI-5205 sits near the eponymous `Jao gap', which is the transition region between partially and fully-convective M dwarfs. TOI-5205b has one of the highest mass ratio for M dwarf planets with a mass ratio of almost 0.3$%$, as it orbits a host star that is just $0.392 pm 0.015$ $M_{odot}$. Its planetary radius is $1.03 pm 0.03~R_J$, while the mass is $1.08 pm 0.06~M_J$. Additionally, the large size of the planet orbiting a small star results in a transit depth of $sim 7%$, making it one of the deepest transits of a confirmed exoplanet orbiting a main-sequence star. The large transit depth makes TOI-5205b a compelling target to probe its atmospheric properties, as a means of tracing the potential formation pathways. While there have been radial velocity-only discoveries of giant planets around mid M dwarfs, this is the first transiting Jupiter with a mass measurement discovered around such a low-mass host star. The high mass of TOI-5205b stretches conventional theories of planet formation and disk scaling relations that cannot easily recreate the conditions required to form such planets. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2209.11160v2
TOI-5205b: A Jupiter transiting an M dwarf near the Convective Boundary by Shubham Kanodia et al. on Sunday 25 September We present the discovery of TOI-5205b, a transiting Jovian planet orbiting a solar metallicity M4V star, which was discovered using TESS photometry and then confirmed using a combination of precise radial velocities, ground-based photometry, spectra and speckle imaging. The host star TOI-5205 sits near the eponymous `Jao gap', which is the transition region between partially and fully-convective M dwarfs. TOI-5205b has one of the highest mass ratio for M dwarf planets with a mass ratio of almost 0.3$%$, as it orbits a host star that is just $0.392 pm 0.015$ $M_{odot}$. Its planetary radius is $1.03 pm 0.03~R_J$, while the mass is $1.08 pm 0.06~M_J$. Additionally, the large size of the planet orbiting a small star results in a transit depth of $sim 7%$, making it one of the deepest transits of a confirmed exoplanet orbiting a main-sequence star. The large transit depth makes TOI-5205b a compelling target to probe its atmospheric properties, as a means of tracing the potential formation pathways. While there have been radial velocity-only discoveries of giant planets around mid M dwarfs, this is the first transiting Jupiter with a mass measurement discovered around such a low-mass host star. The high mass of TOI-5205b stretches conventional theories of planet formation and disk scaling relations that cannot easily recreate the conditions required to form such planets. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2209.11160v2
Jao-et som inte fick bli ett jao släpps lös idag efter att Saras tecknade kärlek avslöjas. David grinds his gears på konstigt lagda semestrar! Kodjo iscensätter en annan version av Lejonkungen. P3 Nyheters Lisa Nord fördjupar sig i razzia mot Donald Trump och valet mellan lyxig och äcklig skolmat. Riskkapitalisten och investeraren Deqa Abukar är dagens gäst. Skrattattack garanteras idag kan nämnas. Programledare: David Druid, Sara Kinberg och Kodjo Akolor.
NU är det fredag och det är helt okej att peppa till LL Cool J som David Druid gör. Margret Atladottir försöker livscoacha Druiden men funkar det så bra egentligen? Och hur peppar Kodjo Akolor, som likt Druid blir kränkt av dagens Våga frågalåda. P3:s egna Tina Mehrafzoon rapporterar om senaste musiknytt, P3 Nyheters Carl-Johan Ulvenäs snackar Rysslandpengar och Sven Melander, rest in peace. Rysslandsexperten Martin Kargh är dagens gäst! Programledare: David Druid, Margret Atladottir och Kodjo Akolor.
Primer programa del 2022 en el que arrancamos entrevistando a uno de los grandes valores musicales del país, el genial Roy Borland. Además, repasamos algunos de los grandes momentos en la carrera del bonaerense Andrés Calamaro. Y como no, las novedades más calentitas del panorama musical: lo nuevo de Robert Plant con Alison Krauss; la reedición de 'Joao Gilberto en México'; el homenaje de la brasileña Céu a sus referentes musicales en 'Um Gosto de Sol'; el regreso de Elvis Costello en 'The Boy Named If' o el nuevo single de los irlandeses Fontaines D. C. 'Jackie Down The Line'. Todo esto y mucho más en la nueva Gramola del Sr. Cardona.Selección de canciones:1. Robert Plant & Alison Krauss - Can't Let Go2. Unidad y Armonía - Soy Una Nube3. Alizzz ft. Rigoberta Bandini - Amanecer4. Andrés Calamaro - Elvis Está Vivo5. Los Abuelos de la Nada - Mil Horas6. Los Rodríguez - Engánchate Conmigo7. José Alfredo Jiménez - En el último trago (interludio)8. Roy Borland - Tequila-Entrevista Roy Borland-9. Simply Broke - Everyday Is A Good Day10. Céu - Chega Mais11. Joao Gilberto - De Conversa Em Conversa12. Elvis Costello - Paint The Red Rose Blue13. Fontaines D.C. - Jackie Down The Line14. Leiva ft. Silvana Estrada - Peligrosamente Dark
Tem ainda o Now United estreando com "Jump", trilha de "Encanto" é candidata e o retorno do Jão à liderança
Det är Rouski wednesday på flera sätt. Dels för att vi drar igång morgonen med rysk techno men också på grund av morgonens gäst krigsvetenskapsdoktorn Oscar Jonsson. Vi pratar Ryssland, potentiella drönare över Radiohuset, om NATO och mycket mer. Evalisa Wallin från P3 Krim pratar bostadsblåsningar och svartmäklarhärvor, och så hoppar Babs Drougge in när David hastigt tvingas lämna studion. En spännande morgon helt klart! Programledare: Linnea Wikblad och David Druid
Har David Druid varit vid en godisaffär eller klivit in i en tidsmaskin? Utifrån hans märkliga köp, vet ingen egentligen och därmed snackar Druid och Linnea Wikblad om saker i barndomen som fanns men som skulle vara problematiska idag. Linnea Wikblad har medverkat i en film, med en twist! P3 Spels Effie Karabuda snackar den senaste trenden på Twitch och dagens gäst är journalisten och den virala legenden (får man väl säga) Henrik Brandão Jönsson! Programledare: David Druid och Linnea Wikblad.
Thank you to everyone who's been on the pod this year-Iñigo, Agustin, Stella, Pio, Jao, Amado, Ken, Kristine, Elian, James, Niko, and everyone who I missed. Contact me if I did but thank you all --- Send in a voice message: https://anchor.fm/aie23/message
Hey guys, first off...thank you for clicking on this podcast!! This week I had the great privilege of speaking with one of my best teammates Jao Ituka. Jao is a freshman guard for the Marist men's basketball team. So far, he has taken college basketball by storm. Earning MAAC player of the week once and rookie of the week honors 3 times! Please take some time to find out more about Jao as we talk about his work ethic, anime, marvel, and more!!! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/terrence-echols/support
Tá no ar mais uma edição inédita do “Sabe Aquela Música?“.Pela terceira vez no podcast, Jão bateu um papo com o Marcos Vicca sobre a música “Santo”, que faz parte do álbum Pirata.O cantor abriu o papo falando sobre o disco, que marca um período de transição na carreira dele.E ainda revelou que as músicas do álbum Pirata, como um todo, são muito mais sobre um desejo de quem ele gostaria de ser, do que sobre quem ele realmente é.Jão também contou detalhes sobre as cartas que escreve aos fãs antes de lançar um álbum; falou sobre a letra de “Santo”, relembrou os primeiros rabiscos e muito mais.E claro que ainda rolou uma versão acústica exclusiva de “Santo” para o podcast!Dá o play aí para ouvir!
Under helgen såg David Druid djupt in i sin själ och märkte att han ska bli mer ödmjuk, samt gå efter sitt nya alias ''Humble Dave''. Hur kommer det gå under sändningen? Spoiler: inte så bra. Kodjo Akolor vet (typ) varför förkylningar förekommer, vilket får Linnea Wikblad att tröttna allt mer. Sveriges mest kända polis, Nadim Ghazale, är dagens gäst och det pratar skjutningar, polisyrket och översatt sommartal. Programledare: David Druid, Linnea Wikblad & Kodjo Akolor
Thank you Iñigo, and Jao. Hope to a pod with them again soon --- Send in a voice message: https://anchor.fm/aie23/message
Thank you to Pio for being the goat for coming along onto the podcast. Thanks to surprise guests Agustin and Jao, finally this was so fun and hope to get these guys back again --- Send in a voice message: https://anchor.fm/aie23/message
Episode 53. Raag Hamsadhvani in Popular Music: A Webinar with Shri Manoj Govindraj Songs include: O chaan jahan woh jaaye – Sharada (1957) Jao tose nahin bolun kanhaiya – Parivaar (1956) Santo karamki gati nyari – Chala Vahi Desh (album of Mirabai bhajans) --- Support this podcast: https://anchor.fm/pankaj-jain/support
“Abb toh aa Jao” is a Hindi poetry that has been written by Anuradha. It has a collection of beautiful words that can melt someone's heart as well as lines so relatable that if you are missing someone you love or with whom you saw your coming life together If so, it will definitely touch the deepest part of your heart. All I have done in this video is that I recited the lines so that many people can feel them. I hope that you will like poetry. Watch the video till the end and drop your views in the comment section… . ☺
Pulang ke Kota Penuh Makna Oleh : Desi Wulan Sari,M.Si. Voice Over Talent : Dewi F Kampuang nan jauh di mato Gunung Sansai baku liliang Takana jo kawan, kawan nan lamo Sangkek basu liang suliang … NarasiPost.Com-Sahabat, lagu ceria di atas mengingatkanku pada Sumatera Barat dengan ibu kotanya Padang, menjadi kota yang menakjubkan bagiku. Kota Padang menjadi bagian history yang tidak akan pernah kulupakan. Awal menginjakkan kaki ke kota Padang saat aku melangsungkan pesta pernikahan di rumah orang tua suamiku. Setelah sebelumnya kami melangsungkan akad pernikahan di Sukabumi, Jawa Barat. Tahun 2002 pesta baralek kami langsungkan. Beberapa hari sebelum acara aku dibawa keluarga suamiku berkeliling kota Padang, MasyaAllah indah nian budaya orang Minang ini. Rasanya aku ingin membeli segala oleh-oleh yang berkaitan dengan design Minang. Hingga dari tahun ke tahun akhirnya kota Padang menjadi tempat kami berkumpul setiap tahun saat lebaran Idul Fitri tiba. Semua sisi kota yang kusinggahi selalu berbekas dalam hati ini, semakin aku mencintai suamiku yang asal Minang, semakin aku menyukai kota Padang yang unik dan indah dipandang. Dengan segala macam keunikannya, mari aku perkenalkan satu per satu tempat-tempat favorit saat aku berkunjung ke sana, bersiap yah! Pertama, Pasar Raya Padang. Pasar inilah tempat aku pertama kali diajak keluarga belanja ke pasar. Pasar tradisional terbesar yang ada di kota Padang. Pasar ini terletak di kampung Jao (kampung Jawa), Padang Barat. Pasar Raya Padang sudah cukup tua, di mana didirikan sejak zaman kolonial Belanda. Pendiri pasar raya ini adalah seorang kapitan Cina bernama Lie Saay. Di sana harga-harga miring dan bersaing selalu menjadi ciri ramainya pasar itu. Bagiku, sungguh excited belanja di sana saat mereka bicara dan tawar-menawar dengan bahasa minang yang aku sendiri belum bisa mengucapkannya. Naskah Selengkapnya : https://narasipost.com/2021/08/29/pulang-ke-kota-penuh-maknaoleh-desi-wulan-sari-m-si/ Terimakasih buat kalian yang sudah mendengarkan podcast ini, Follow us on : instagram : http://instagram.com/narasipost Facebook : https://www.facebook.com/narasi.post.9 Fanpage : Https://www.facebook.com/pg/narasipostmedia/posts/ Twitter : Http://twitter.com/narasipost
Effie Karabuda gör programledardebut i studion och givetvis kan vi inte låta bli att prata om spel då. Vi snackar rage quits och lyssnarnas berättelser strömmar in om när de har tappat det totalt, och slagit sönder mer än bara spelkonsoler. Effie berättar även att hon och hennes pojkvän blivit ett sånt äckligt coronapar som inte har några gränser in public. Får man bita sin partner i kinden mitt bland folk? När dagens gäster kommer in i studion får vi knappt plats i studion. Det är nämligen inga mindre än OS-medaljörerna i diskus, Daniel Ståhl och Simon Pettersson som gästar oss. Hur var det att vinna tillsammans? Vad är nästa steg i karriären? Och vi ställer frågan alla undrar, var de liggsäkra sängarna verkligen liggsäkra? Babs bjuder på ännu ett väder i världsklass, nämligen rage quit-väder! Och så kommer Moa Lindstedt från musikguiden med ny spännande info om blåsvädret kring DaBaby! Programledare: Kodjo Akolor, David Druid och Effie Karabuda
Jao, jao, jao, šta sam dočekao! Da ja branim predsednika Republike, na koga se i staro i mlado baca kamenjem i ostacima šuta, jer se u Srbiji stalno nešto zida, prepravlja i ruši: predsednik je tobože ogolio svoje navijačko lice i grupi građana obratio se rečju „devojčice“! Narušio je rodnu ravnopravnost, o maloletnom potomstvu ženskog ... DaljeTri bagatelle #Retrovizor
Jao, jao, jao, šta sam dočekao! Da ja branim predsednika Republike, na koga se i staro i mlado baca kamenjem i ostacima šuta, jer se u Srbiji stalno nešto zida, prepravlja i ruši: predsednik je tobože ogolio svoje navijačko lice i grupi građana obratio se rečju „devojčice“! Narušio je rodnu ravnopravnost, o maloletnom potomstvu ženskog ... DaljeTri bagatelle #Retrovizor
6-24-21 Tonight we're continuing our travels in Europe with Gert Smet and the Blacksmith's Meadery in Antwerp, Belgium. Gert is a reenactor - a living history nerd. His living history group, Ortus Phoenix, portrays the late 15th century, just after the death of Charles the Bold. Gert drank his first mead on one of the medieval festivals in 2011. Needless to say it was 'high quality' rotgut (some cheap German swill) that made his stomach dissolve. He was sure that he could make something more palatable himself and got to experimenting. In retrospect his first mead must've been quite horrible - no technique, no Idea of fermentation management, no nutrients other than raisins (hey, it was the dark ages, right?). His very first mead was a JAO clone I got from stormthecastle.com. It was abysmal, but compared to the "mead" available at the festivals it was like amazing. Ortus Phoenix (his group) liked it instantly (doing the friend thing) and they got other reenactors to try it. They liked it as well. What ensued was not unlike the story of the bucket of mead with the bottle of aspirin on top. Luckily Gert started reading (The Compleat Mead Maker among others), and discovered GotMead? This upped his game fairly quickly and some people started badgering him to go pro. Which he did in 2016. The first official batch he made was for the wedding of a couple of friends. He'd been making mead in his basement but that rapidly became too small. This hindered the growth of the meadery in a big way. His batch sizes were limited to 120 liters at a time. This year they moved to a bigger location and the production took a huge leap. ...and now the new location is becoming too small.. They used to produce drier meads, traditionals and melomels, and the occasional braggot (being a Belgian he had little choice there...). Fairly quickly he got into the sweeter stuff -after tasiting some of Ken's meads- and that's now the main stay in their production. Every now and again they still make a dry traditional. He loves working with fruit, especially berries, apples and pears. A while ago Gert discovered the joys of barrel aging. Like there wasn't already a problem space-wise. They're continuing to grow, have some interesting collabs going on and on the docket, and their name is starting to get peoples attention. Interestingly, Gert's son, Ares, (10 YO) discovered their meads on a craft beer bar menu and promptly declared that he did like having a famous dad. Gert nearly shot a € 12 Lambic out of his nose. This player will show the most recent show, and when we're live, will play the live feed. If you are calling in, please turn off the player sound, so we don't get feedback.[break] [break]Click here to see a playable list of all our episodes! Sponsor: Having trouble keeping accurate brew logs? Construct recipes and manage tasting notes with Adventurous Brewer. Adventurous Brewer has your needs in mind--generate staggered nutrient additions, create timers and calendar events, and track active batches. You can even split batches mid-brew to experiment with different flavoring agents in secondary. Visit https://adventurousbrewer.app/login.html today. If you want to ask your mead making questions, you can call us at 803-443-MEAD (6323) or send us a question via email, or via Twitter @GotmeadNow and we'll tackle it online! 9PM EDT/6PM PDT Join us on live chat during the show Bring your questions and your mead, and let's talk mead! You can call us at 803-443-MEAD (6323), or Skype us at meadwench (please friend me first and say you're a listener, I get tons of Skype spam), or tweet to @gotmeadnow. Upcoming Shows July 13 - Frank Golbeck and Alyson Schramm-Neager - The Mead Institute July 27 - Danique Staal- De Noordelijke Mederij, Netherlands August 10 - Gordon Baron - Lancashire Mead, Great Britain August 31 - Tom Gosnell - Gosnell's Mead, Great Britain Sponsor: It's now mead slushee season,
Marshmello com Jonas Brothers é uma parceria com grandes chances de ficar entre as mais pedidas; já Jorge e Mateus teve a subida máxima do Ranking; o Top5 e mais movimentações do Ranking Rádio Disney!
Baarish ka romance sunah hai? Nahi na toh kiska intezaar krre ho? Jao jaldi jaake suno
David Guetta é candidato ao Ranking, assim como a parceria de Maneva e Natiruts; Pabllo Vittar sobe 14 posições; e mais destaques da semana!
Destaques do nosso Ranking brilharam no Brit Awards; Pabllo Vittar é cadidata; Olivia Rodrigo estreia e mais movimentações nos pedidos musicais de vocês esta semana!
Today you will hear from Greg Jao on our I AM series. Greg is an author, speaker, law graduate from Northwestern and currently Jao serves InterVarsity Christian Fellowship/USA as the Senior Assistant to the President for External Partnerships & Executive Office Communications. In this role, he leads InterVarsity’s efforts to partner with other ministries, churches, and networks; shapes InterVarsity’s leadership communications; and guides InterVarsity’s response to situations where the ministry’s presence is challenged by campus administrators. We welcome Greg back to Christ Church.
Today you will hear from Greg Jao on our I AM series. Greg is an author, speaker, law graduate from Northwestern and currently Jao serves InterVarsity Christian Fellowship/USA as the Senior Assistant to the President for External Partnerships & Executive Office Communications. In this role, he leads InterVarsity’s efforts to partner with other ministries, churches, and networks; shapes InterVarsity’s leadership communications; and guides InterVarsity’s response to situations where the ministry’s presence is challenged by campus administrators. We welcome Greg back to Christ Church.
O Harry Styles tem 3 sons em destaque; Bruno Mars estreia; Dua Lipa é quem mais ganhou posições; a disputa de Lauana Prado e BTS entre as primeiras posições e mais curiosidades dos pedidos que você fez durante a semana!
The Kays family have been a staple of the Okavango Delta since 1887, with a family history akin to stories of Indiana Jones as written by George Lucas and Steven Spielberg. The Okavango Delta is a key to the health of planet Earth and something so stunning it will literally change your life. A remote inland river delta, in southern Africa, located in modern day Botswana and dotted with thousands of small islands, the Okavango hosts some of the largest concentrations of wildlife on the planet. Listen to Cathy, and her son Martin, discuss what makes the Okavango such a special place and why their family has remained there for many generations. They also discuss how to manage staff and high-expectation guests at a collection of six safari camps in the center of the delta, including their Premier camp Jao – consistently named one of the Top 50 Hotels in the World. I'm Steve Parker Jr. your host of ParkerOnTap. I hope you enjoy the podcast. Please SUBSCRIBE and consider sharing on social, rating the podcast, and learn more at ParkerOnTap.com
Waere wae gediscrimineerd of velt ut allemaol wel mit? Jao wae hebben ut euver Limburg(ers)! Wae hebben hulp ingesjakeld van Frans Pollux (witse wel dae van Hald mich 's vas en wat kins Frans eigenlik neet...?!) um te kieke wie det nou zit mit succes en oeht Limburg komen. Wae hebben un nieuwtje van Frans trouwens. Luuster gauw!! Veul plezeer en laot os weit wat gae der van vingt door os te mailen en abonneer uch op Spotify. E: info@ierlik.nl W: ierlik.nl Muziekfragment: Baianá (Bakermat)
Giro de noticias bolado pra galera ae!!! e na bancada de hoje temos n1c0,bryan666, JAO @bullshitagempodcast, tiquinho, Ronaldinho, biel e o host Havaiana Jones Nossas redes são Instagram: @porcaria_podcast Twitter: @porcariacast Facebook: Porcaria & Podcast E-mail: porcariapodcast@gmail.com Youtube: Porcaria & ETC Grupo do face: dedo no c* e tchatchulibrinx --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app
Vi efterlyser berättelser från när man blivit nerplogad av en plog bil! Effie från P2 Spel kommer och berättar lite nyheter från spelvärlden. Sen blir det såstest med Jonas Cramby som är streetfood skribent och fantast på kinas matkultur. Han har med sig en sichuansås som skapat kaos i en känd snabbmatskedja.
if you want to become smart then listen to this podcast where i shared something which might help you to be smart and i am not just sharing this i do all things ab Jao podcast suno. #RawandReal #vedant #prakhar #shwetabh #smart YouTube @Nishant Rathod Instagram @niishantrathod
Se prepara que esse é um dos melhores episódios do Rolê Zica! Embarcamos para Berlim, cidade histórica que dividiu a nação alemã, com André Henning e seu rolê de bike; Jão, guitarra do Ratos de Porão, e a doida que tirou haxixe da perna mecânica; Antonio Tabet, o Kibe Loco, que botou o Bolívia pra dentro do hotel da Uefa e ainda descolou ingresso pra final da Champions; no ataque, Matheus Cunha, do Hertha, que saiu no meio do maior clássico da capital para ver o nascimento do filho. Só vem!
Welcome to Gift Guide Podcast, the Sequel: Presents Requested. (Can you tell we’re a little slap-happy after recording these eps?) If you haven’t tuned in for part one, here’s the deal: We’ve got lots of ideas from small businesses, many owned by women and BIPOC, (and none from Amazon)—and we have thoughts on organizations to donate to in someone’s honor, too. Are you ready for all the thoughts? Great, let’s get into it. Oh, and if you just can’t get enough, our 2019 installments are here and here. BROTHERS! 21 year old brother who has a new passion/major every week. Techie, creative, loves pasta. Grossy Pelosi merch: This Too Shall Pasta or Live Laugh Lasagna Designy pasta book: The Silver Spoon or The Geometry of Pasta Memoirs of people who found/made their own way: Notes from a Young Black Chef by Kwame Onwuachi, Just Kids by Patti Smith, and The Autobiography of Gucci Mane Subscription to Courier magazine Little brother, loves foreign affairs, about to graduate from college, very classic taste Subscription to Stranger’s Guide, The Atlantic, Monocle, or ProPublica A watch! Todd Snyder x Timex collab or Hodinkee for Swatches. Norse Projects x Hestra gloves J. Press Shaggy Dog cuffed hat 21 y.o. Lil bro who is way cooler than me. Into the outdoors, vintage jackets, anime. Hanafuda Flower Cards by Nintendo Atsuko long-sleeve Parks Project long-sleeve or hoodie Pallares pocket knife Anywhere Brewer by Alvaro Rodriguez My 30 y.o. lefty anti-capitalist brother who secretly really likes buying things. Something Patagonia WornWear ReCrafted or Todd Snyder x L.L. Bean Patreon subscription for Chapo Trap House Leftie merch: Call Your Girlfriend The Scam is Structural Hat or Bernie Sanders Rage Against the Machine T-shirt Kura Kin sake club from Brooklyn Kura Donation to his local mutual aid organization KIDS! The 2-year-old that has everything—9 sets of Aunts/Uncles! A giant, mascot-style costume for an adult to wear—Elmo? Bear? Kid audio player things: Yoto Player and Tonies Toy storage: Fabelab bear storage bag and Oh Noo toy wheelbarrow The Dough Project Donation to National Diaper Bank Project Kids! Not little but not teens. Bonus for stuff that isn’t tech-based. PLEASE Cooking thing: Kid in the Kitchen by Melissa Clark or Bella Cucina pastry tart set Box set of books: Roald Dahl or Puffin in Bloom Something outdoorsy: Tubbs snowshoes, Hamboard shortboard, or cool roller skates by Chicago Skates, Impala, or Moxi Da Bomb Fizzers Tie-dye kit: Horizon Group unicorn tie dye bundle or Tulip tie-dye party Washi tape sets Twee sidewalk chalk Liewood domino set Mary Matson Double Happiness poster (edition of 50, signed and numbered) TEENS! Late teen more responsible than me at 30 and already has the lined Birkenstocks. Olive & June manicure/pedicure system (or just the mani system) Watercolor sets: Beam Paints, LDBA Palette, Case for Making, or anything from Blick Original art from Caroline Kaufman Safomasi quilted bean bag Lorien Stern sloth rug or seal bath mat Lotta Blobs mirror Breda watch Alex Mill tie-dye cotton socks 17-year-old awkward tomboy who has NO opinions on anything she likes Book that might get her thinking about what she likes/where she’s going: In the Company of Women, Roadtrip Nation’s Roadmap book, Start Where You Are journal, or Is Everyone Hanging Out Without Me? by Mindy Kaling Custom Converse or Vans If she has an iPad: Apple Pencil BOSSES AND EMPLOYEES! Design-minded bosses (one male and one female) Puzzles: Four Point Puzzles, Whiled, and Piecework Mug that suits each of their aesthetics: Yowie and Mociun Design-y chocolate: Compartes bars or Vesta bonbons Design-y calendars: 2021 Stendig or Design Letters Astier de Villate notebook The Granite ceramic matchboxes Male boss you have a crush on. Should seem to cost about $50 (but ok if it costs more) Signed book by his fave author: AbeBooks has a very good search tool, and 1stDibs is good for more coffee-table stuff. Body wash or soap that is just on the cusp of inappropriate—Musgo Real soap on a rope? Set of two glasses (subtle hint to have a drink together?!): Mia Craft beer glasses, Estelle Colored Glass, or vintage French champagne coupes, maybe with a bottle of something to drink, too. 65-year-old male boss who’s super successful, obsessed with Tesla and health and wellness Food innovation: Seemore Meats & Veggies sausages or Oishii strawberries Gossamer CBD in Dusk and/or Dawn Oracle olive oil Donation to Partnership for a Healthier America, Back on my Feet, or Fresh Air Fund If this person is your dad not your boss: Oura ring or Theragun 18 co-workers. I’m their boss. Omsom sauces Pineapple Collaborative olive oil or pantry set Zazzle or Etsy mugs with superlatives GRAB BAG!!! 37 weeks pregnant and just want to pick one thing to buy 25 of and call it a day. But what?! Five-year journal: One Line a Day, Hobonichi 5-year Techno, or Unbound Planner Plant: Holiday cactus from The Sill or herb collection from Bloomscape Il Buco Alimentari Sale Fiore or WAJD salt Planting a tree via Nature Conservancy Donations to No Kid Hungry or Heifer International My dog walker who dresses like a Tim Burton character and is 22. $50 - $100 $$ Kule striped mask Something FUN, useful, and a little grown-up for home: Fredericks and Mae cutting board and Areaware table tiles My mail carrier Gift card to a coffee shop on your route Thermos: super classic Stanley one or Zojiruchi ones in more colors Lands’ End ear muffs Zippo 12-hour hand-warmer I need special little things for neighbors/mail people/building managers! Seasonings: Momofuku seasoned salts, Burlap & Barrel spice set, or Westbourne spice trio with recipes Fancy hand sanitizer: Jao and MCMC Gift cert for a neighborhood spot that does lunch Last gift idea, promise: a sub to Secret Menu. Give Nutrafol a go for thicker, healthier hair—the code ATHINGORTWO gets you 20% off. Live that bidet life with Hello Tushy. 10% off and free shipping! YAY. Produced by Dear Media
Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.23.217273v1?rss=1 Authors: Colon-Rodriguez, A., Uribe-Salazar, J. M., Weyenberg, K. B., Sriram, A., Quezada, A., Kaya, G., Jao, E., Radke, B., Lein, P. J., Dennis, M. Abstract: In recent years zebrafish have become commonly used as a model for studying human traits and disorders. Their small size, high fecundity, and rapid development allow for more high-throughput experiments compared to other vertebrate models. Given that zebrafish share >70% gene homologs with humans and their genomes can be readily edited using highly efficient CRISPR methods, we are now able to rapidly generate mutations impacting practically any gene of interest. Unfortunately, our ability to phenotype mutant larvae has not kept pace. To address this challenge, we have developed a protocol that obtains multiple phenotypic measurements from individual zebrafish larvae in an automated and parallel fashion, including morphological features (i.e., body length, eye area, and head size) and movement/behavior. By assaying wild-type zebrafish in a variety of conditions, we determined optimal parameters that avoid significant developmental defects or physical damage; these include morphological imaging of larvae at two time points (3 days post fertilization (dpf) and 5 dpf) coupled with motion tracking of behavior at 5 dpf. As a proof-of-principle, we tested our approach on two novel CRISPR-generated mutant zebrafish lines carrying predicted null-alleles of syngap1b and slc7a5, orthologs to two human genes implicated in autism-spectrum disorder, intellectual disability, and epilepsy. Using our optimized high-throughput phenotyping protocol, we recapitulated previously published results from mouse and zebrafish models of these candidate genes. In summary, we describe a rapid parallel pipeline to characterize morphological and behavioral features of individual larvae in a robust and consistent fashion, thereby improving our ability to better identify genes important in human traits and disorders. AUTHOR SUMMARYZebrafish (Danio rerio) are a well-established model organism for the study of neurodevelopmental disorders. Due to their small size, fast reproduction, and genetic homology with humans, zebrafish have been widely used for characterizing and screening candidate genes for many disorders, including autism-spectrum disorder, intellectual disability, and epilepsy. Although several studies have described the use of high-throughput morphological and behavioral assays, few combine multiple assays in a single zebrafish larva. Here, we optimized a platform to characterize morphometric features at two developmental time points in addition to behavioral traits of zebrafish larvae. We then used this approach to characterize two autism candidate genes (SYNGAP1 and SLC7A5) in two CRISPR-generated zebrafish null mutant models we developed in house. These data recapitulate previously published results related to enhanced seizure activity, while identifying additional defects not previously reported. We propose that our phenotyping platform represents a feasible method for maximizing the use of single zebrafish larvae in the characterization of additional mutants relevant to neurodevelopmental disorders. Copy rights belong to original authors. Visit the link for more info
Pga inställd ordinarie gäst idag kommer istället ett ihopklippt jao angående att bli biten av farliga djur! Vi snackar med en lyssnare som kan tänka sig ställa upp med att bli biten och Djur-Ted tipsar om djur som kan bitas.
Tisdag! Marcus, Hanna och David sänder. Vi pratar om vilka platser man försvinner till när man dagdrömmer. Dessutom får vi finbesök av två otroliga personer - poddaren och komikern Bianca Meyer och författaren Lena Andersson som diskuterar Palmemordet och sexköp.
David har spenderat hela helgen med att kolla YouTube-klipp med en man som blir biten av djur. Vi pratar om virala klippet från protesterna i Göteborg, och får en blombukett från P3 Dokumentär efter fredagens tabbe.
For those outside of the DC/Maryland/Virginia area who don't know who Jao is, you may want to get familiar! Jao is one of the hardest workers and dedicated hoopers that we've witnessed, and joined us to talk about everything from taking his own path at a less prestigious basketball school, to how he attacks workouts. If you're a hooper looking for some insight into making it to the next level, this is a great listen for you. Jao: @Jao_Ituka25 Yosef: @ValueBasketballSkillsTraining Coleman: @ByAnyMeansBasketball --- Support this podcast: https://anchor.fm/under-the-microscope/support
Over the last year, various Congressional committees have been investigating the expanding use of facial recognition technology by law enforcement and the private sector. In this episode, hear the highlights of these investigations which will enlighten you about the extent that this technology is being used to put your face in criminal investigation line-ups, determine your employability, and more. Please Support Congressional Dish – Quick Links Click here to contribute monthly or a lump sum via PayPal Click here to support Congressional Dish for each episode via Patreon Send Zelle payments to: Donation@congressionaldish.com Send Venmo payments to: @Jennifer-Briney Send Cash App payments to: $CongressionalDish or Donation@congressionaldish.com Use your bank’s online bill pay function to mail contributions to: 5753 Hwy 85 North, Number 4576, Crestview, FL 32536 Please make checks payable to Congressional Dish Thank you for supporting truly independent media! Recommended Congressional Dish Episodes CD158: Rapid DNA Act Articles/Documents Article: Exclusive: Biometric ID company CLEAR to offer coronavirus screening for businesses By Bryan Walsh, Axios, May 10, 2020 Letter: Addressed to Brian Huseman, Vice President, Public Policy at Amazon By Raja Krishnamoorthi, House of Representatives, Committee on Oversight and Reform, February 19, 2020 Article: I Got a Ring Doorbell Camera. It Scared the Hell Out of Me. By Max Read, The New York Intellgencer, February 13, 2020 Article: How Amazon’s Ring is creating a surveillance network with video doorbells By Rani Molla, Vox, January 28, 2020 Article: Ring let police view map of video doorbell installations for over a year By Alfred Ng, Cnet, December 3, 2019 Article: Police can keep Ring camera video forever and share with whomever they'd like, Amazon tells senator By Drew Harwell, The Washington Post, November 19, 2019 Article: The FBI is Tracking Our Faces in Secret. We’re Suing. By Kade Crockford, The Guardian, October 31, 2019 Article: Everything You Need to Know About Ring, Amazon’s Surveillance Camera Company By Caroline Haskins, Vice, August 8, 2019 Article: New Map Reveals That At Least 231 Cities Have Partnered With Ring By Caroline Haskins, Vice, August 8, 2019 Article: Pentagon testing mass surveillance balloons across the US By Mark Harris, The Guardian, August 2, 2019 Article: Everything Cops Say About Amazon's Ring Is Scripted or Approved by Ring By Dell Cameron, Gizmodo, July 30, 2019 Article: United Airlines buys stake in biometric screening firm Clear By Phil LeBeau, CNBC, July 29, 2019 Article: NEC to provide curb-to-gate facial biometrics for Star Alliance frequent flyers By Chris Burt, Biometric Update, July 26, 2019 Article: As Cameras Track Detroit's Residents, a Debate Ensues Over Racial Bias By Amy Harmon, The New York Times, July 8, 2019 Article: ICE Used Facial Recognition to Mine State Driver’s License Databases By Catie Edmondson, The New York Times, July 7, 2019 Article: CBP Biometric Exit lead John Wagner a finalist for U.S. government award By Chris Burt, Biometric Update, June 3, 2019 Article: Hate lines? You could speed through the stadium or airport (in return for your personal data) By J.J. McCorvey, Fast Company, October 26, 2018 Article: Amazon is selling facial recognition to law enforcement - for a fistful of dollars By Elizabeth Dwoskin, The Washington Post, May 22, 2018 Article: Amazon is selling police departments a real-time facial recognition system By Russell Brandom, The Verge, May 22, 2018 Article: Amazon Teams Up With Government to Deploy Dangerous New Facial Recognition Technology By Matt Cagle & Nicole Ozer, ACLU, May 22, 2018 Article: San Francisco’s facial recognition technology ban, explained By Shirin Ghaffary, Vox, May 14, 2019 Article: Brooklyn Tenants Fight Landlord's Plan to Install Facial Recognition System, Security Sales & Integration, May 3, 2019 Article: Biometric Exit expected to process nearly all air passengers departing U.S. within four years By Chris Burt, Biometric Update, April 18, 2019 Article: CIA long relied exclusively on Amazon for its cloud computing. Now it is seeking multiple providers for a massive new contract. By Aaron Gregg, The Washington Post, April 2, 2019 Article: Amazon Is Pushing Facial Technology That a Study Says Could Be Biased By Natasha Singer, The New York Times, January 24, 2019 Article: FOR OWNERS OF AMAZON’S RING SECURITY CAMERAS, STRANGERS MAY HAVE BEEN WATCHING TOO By Sam Biddle, The Intercept, January 10, 2019 Article: Innovators: Biometrics Believer Caryn Seidman-Becker, CEO of Clear, on Never Needing ID Again By Katherine LaGrave, Conde Nast Traveler, September 11, 2018 Article: Trans Drivers Are Being Locked Out of Their Uber Accounts By John Paul Brammer, them., August 10, 2018 Article: Some transgender drivers are being kicked off Uber’s app By Jaden Urbi, CNBC, August 8, 2018 Article: Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots By Jacob Snow, ACLU, July 28, 2018 Article: What we know about Maryland’s controversial facial recognition database By Taylor Hatmaker, Tech Crunch, June 29, 2018 Article: Report: Police worked with social media company to track protestors during unrest By Stephen Babcock, Technical.ly, October 12, 2016 Article: Uber to require U.S. drivers to verify themselves by snapping selfies before accepting rides By Paul Sawers, VB, September 23, 2016 Article: The Details About the CIA's Deal With Amazon By Frank Konkel, The Atlantic, July 17, 2014 Article: Bankruptcy of Verified Identity Pass and the Privacy of Clear Registered Traveler Data, Electronic Privacy Information Center Additional Resources YouTube Video: Kobe Bryant Helicopter Crash Audio, Jade Podcast: Stock Market Information For NEC, Biometric Update Podcast: Sammies finalist revolutionizing airports with facial recognition technology, Federal News Network, May 31, 2019 Letter: Letter to Jeffrey Bezos, CEO of Amazon, May 22, 2018 Location Map: Find a CLEAR location near you, CLEAR Sound Clip Sources Hearing: About Face: Examine the DHS’ Use of Facial Recognition and Other Biometric Technologies, Part II, House Committee on Homeland Security, February 6, 2020 Watch on Youtube Watch on CSPAN Witnesses: John Wagner - Deputy Executive Assistant Commissioner, Office of Field Operations, U.S. Customs and Border Protection, Department of Homeland Security Peter Mina - Deputy Officer for Programs and Compliance, Office for Civil Rights and Civil Liberties, Department of Homeland Security Charles Romine - Director of the Information Technology Laboratory, National Institute of Standards and Technology, Department of Commerce Transcript: 1:37:25 Rep. Lauren Underwood (IL): Some passengers report being unaware or confused about how to opt out of their biometric screening. As CBP expands the biometric screening program, does it intend to reevaluate the best method of communicating the important opt out information to passengers? John Wagner: Yeah, so right now we've got signage at the airports. But you know, a lot of people don't read signs at the airport. We've got gate announcements that the airlines try to make before boarding. But again, there's always competing announcements going on. And sometimes it's tough to understand what's being said. So we're actually looking with the airlines is - could we print things on the boarding pass could we give notifications when they're, say booking their ticket or when they're getting their their checking information for boarding other electronic messages we could provide, so we're looking at additional ways to do that. We also started taking out some some privacy advertisements, advising people of the requirements and what their options are as well, too. Hearing: FBI Oversight Hearing, House Judiciary Committee, February 5, 2020 Witness: Christopher Wray - FBI Director Transcript: 2:40:00 Christopher Wray: We at the FBI don't use facial recognition for anything other than lead value. There is no one under FBI policy who is arrested, much less convicted based on facial recognition technology. We use it to advance an investigation to then be used with other information to figure out if we’re going in the right place. So let me start with that. Second thing. We scrupulously train all the examiners under various constitutional protections. And then as to the DMV searches that you're talking about, again we the FBI don't do those searches. The only way those searches can happen is under strict MOUs that have all kinds of constitutional backing. Even when we get the results, it then has to be reviewed carefully by a trained examiner. 2:41:00 Rep. Pramila Jayapal (WA): To be clear under, current FBI policy, can face recognition technology be used without a warrant or probable cause in any circumstance? Christopher Wray: Yes. Rep. Pramila Jayapal (WA): OK, so that is a concern for me. It continues to be a concern for me. Hearing: Facial Recognition Technology (Part III): Ensuring Commercial Transparency and Accuracy, House Committee on Oversight and Government Reform, January 15, 2020 Watch on Youtube Watch on CSPAN Witnesses: Brenda Leong - Senior Counsel and Director of AI and Ethics at the Future of Privacy Forum Charles Romine - Director of Information Technology Laboratory at the National Institute of Standards and Technology Meredith Whittaker - Co-Founder and Co-Director of the AI Now Institute Daniel Castro - VP and Director of the Center for Data Innovation at the Information Technology and Innovation Foundation Jake Parkers - Senior Director of Government Relations at the Security Industry Association (SIA) Transcript: 40:55 Charles Romine: I'll first address one-to-one verification applications. Their false positive differentials are much larger than those related to false negative and exist across many of the algorithms tested. False positives might present a security concern to the system owner as they may allow access to imposters. Other findings are that false positives are higher in women than in men and are higher in the elderly and the young compared to middle aged adults. Regarding race, we measured higher false positive rates in Asian and African American faces relative to those of Caucasians. There are also higher false positive rates in Native American, American Indian, Alaskan Indian and Pacific Islanders. These effects apply to most algorithms, including those developed in Europe and the United States. However, a notable exception was for some algorithms developed in Asian countries. There was no such dramatic difference in false positives in one to one matching between Asian and Caucasian faces for algorithms developed in Asia. This study did not explore the relationship between cause and effect, one possible connection and an area for research is the relationship between an algorithms performance and the data used to train the algorithm itself. 1:13:00 Meredith Whittaker: The average consumer does not and indeed many researchers, many lawmakers don't because this technology, as I wrote about my my written testimony, is hidden behind trade secrecy. This is a corporate technology that is not open for scrutiny and auditing by external experts. I think it's notable that while NIST reviewed 189 algorithms for their latest report, Amazon refused to submit their recognition algorithm to NIST. Now, they claimed they couldn't modify it to meet NIST standards, but they are a multi billion dollar company and have managed some other pretty incredible feats. So whatever the reason is, what we see here is that it's at the facial recognition companies discretion, what they do or don't release. 1:51:45 Meredith Whittaker: Because the Baltimore PD was using private sector technologies, they were scanning Instagram photos through a service called Geopedia that gave them feeds from Freddie Gray protests. They then were matching those photos against their Faces facial recognition algorithm which is a privately developed facial recognition algorithm to identify people with warrants, whom they could then potentially harass. 2:49:45 Rep. Deb Haaland (NM): I recently read that some employers have begun using facial recognition technology to help decide who to hire. At certain companies such as Hilton and Unilever, job applicants can complete video interviews using their computer or cell phone cameras which collect data on characteristics like an applicant's facial movements, vocal tone and word choice. One company offering this technology, HireVue, collects up to 500,000 data points in a 30 minute interview. The algorithm then ranks the applicant against other applicants based on the so called employability score. Job applicants who look and sound like the most like the current high performers at the company received the highest scores. Miss Whittaker, I have two questions for you. One, isn't it true that the use of facial recognition and characterization technology and job application processes may contribute to biases in hiring practices. And if yes, can you please elaborate? Meredith Whittaker: It is absolutely true. And if the scenario that you described so well is a scenario in which you create a bias feedback loop, in which the people who are already rewarded and promoted and hired to a firm become the models for what a good employee looks like. So if you look at the executive suite at Goldman Sachs, which also uses HireVue, for this type of hiring, you see a lot of men, a lot of white men, and if that becomes the model for what a successful worker looks like, and then that is that is used to judge whether my face looks successful enough to get a job interview at Goldman Sachs, we're going to see a kind of confirmation bias in which people are excluded from opportunity because they happen not to look like the people who had already been hired. 2:54:45 Rep. Jim Jordan (OH): First part of what we hope will be legislation that we can have broad support on, that the chairman and both Republicans and Democrats can support, is tell us what's going on now. And then second, while we're trying to figure that out, while the study and we're getting an accountability and what's all happening, let's not expand it. Let's just start there, tell us what you're doing, and don't do anything while we're trying to figure out what you're doing. And then once we get that information, then we can move from there. That is what I hope we can start with Madam Chair and frankly, what we've been working with now for a year, the staffs for both majority and the minority. Hearing: ABOUT FACE: EXAMINING THE DEPARTMENT OF HOMELAND SECURITY’S USE OF FACIAL RECOGNITION AND OTHER BIOMETRIC TECHNOLOGIES, House Committee on Homeland Security, July 10, 2019 Watch on Youtube Watch on CSPAN Witnesses: John Wagner, Deputy Executive Assistant Commissioner, Office of Field Operations, U.S. Customs and Border Protection Joseph R. DiPietro, Chief Technology Officer, U.S. Secret Service; Austin Gould, Assistant Administrator, Requirements and Capabilities Analysis, Transportation Security Administration, Department of Homeland Security Transcript: 4:55 Rep. Bennie Thompson (MS): Last July, the American Civil Liberties Union connected..conducted a test using Amazon's facial recognition to call recognition. ACLU built a database of 25,000 publicly available arrest photos. Using recognition, ACLU searched the database using pictures of every current member of Congress. That software incorrectly matched 20 members, 28 members with individuals who had criminal records. 10:30 Rep. Mike Rogers (AL): I do not believe that anyone has a reasonable expectation of privacy in a government ID photo. Period. 15:00 John Wagner: CBP developed a service that simply automates the manual facial recognition process that goes on today when a traveler presents a passport to establish their identity. To be clear, CBP is only comparing the picture taken against photos previously provided by travelers to the U.S. Government for the purposes of international travel. This is not a surveillance program. 16:10 John Wagner: Now recognizing there's been concerns raised over the inclusion of US citizens, CBP has existing authorities and responsibilities to determine the citizenship and identity of all people traveling internationally. This is a U.S. government responsibility, not the private sector. It's also unlawful for a U.S. Citizen to travel internationally without a U.S. Passport. Now, generally determination of U.S. Citizenship is done by comparing the traveler against their passport. Again, we're simply automating and using a computer algorithm to enhance this manual facial recognition existing process. 16:50 John Wagner: As far as our partnerships with the industry stakeholders, CBP'S developed a standard set of business requirements that our partners have all agreed too, If their camera is sending a photo to CBP. The business requirements clearly stipulate they cannot keep the photos. Our partners have voluntarily agreed to the CBP business requirements. 25:40 Joseph R. DiPietro: With respect to DNA, DNA evidence is one of the most effective identification tools available to law enforcement today. Advances related to DNA technology have been rapid and the secret service remains dedicated to utilizing new applications to enhance our integrated mission. 26:55 Joseph R. DiPietro: The secret service is currently working on a facial recognition pilot. The participants in the pilot are secret service employees who volunteer to take part in this effort. Designated White House cameras that are part of the video management system captured volunteers as they move through various locations around the White House complex. Software running on a server,dedicated to the pilot, and on a closed network not connected to the Internet, seeks to match the images of the volunteers to the images in the video streams. 37:40 John Wagner: So when the picture is taken and provided and comes into CBP and we match it against one of our pre-staged gallery photos that's comprised of passports and visas and previous arrivals, if it's a foreign national subject to the biometric entry exit mandate, that photograph will be sent over to DHS to hold them-to be stored in IDENT, which is the departments repository for that information. If it's a U.S. citizen and that document-that photo matches a U.S. Passport or a permanent resident or somebody outside of the scope of entry exit, that photograph would be held for 12 hours and then deleted or purged from our systems. The only reason we hold it for that short period of time, is just in case the system crashes and we have to restore everything. 38:45 John Wagner: What we were doing with that subcontractors, we would testing their camera on the U.S. Mexico land border in a standalone pilot system. So it wasn't integrated into the main CBP network and we were testing the taking of the photographs and the license plates and the ability to take a picture of a person in a vehicle and whether that would be matchable. In this case, the, apparently the con-...as far as I understand, the contractor physically removed those photographs from the camera itself and put it onto their own network, which was then breached. The CBP network was not hacked. The contractor, and what we see is, what I believe is, they remove that in violation of the contract and that's why our relationship has been severed with them and we're conducting an investigation. Rep. Bennie Thompson (MS): So - so you see my concern about how we control the data we collect? John Wagner: Absolutely. 1:08:00 Austin Gould: So right now I can comment on a really what we're doing in Atlanta with Delta Airlines. In Atlanta, the Delta airlines kiosks use biometric identification to-, when the passenger checks in to make sure, should, they choose to do, too make sure that that person is actually the passenger who's ticketed on that particular flight. Uh, TSA has oversight of the bagdrop to ensure that passengers are positively matched to bags in the international, you know, for international travel. And so Delta Airlines has a security program amendment that we've granted them to use biometric technology to do that matching at the bagdrop. We use it at our checkpoint in uh, in Atlanta, and then it's a, of course subject, or it's used at the exit point at the gate. 1:08:55 Austin Gould: Right now, the Security Program amendment that we've granted Delta for the limited use, only in Atlanta, is the only formal agreement that we've entered into with the, uh, with the airlines. 1:20:45 Rep. Yvette Clarke (NY): I'm concerned about the lack of accuracy. I'm very concerned about.... John Wagner: A person doesn't match the photo in this case, they present their passport as they're doing today. Rep. Yvette Clarke (NY): Excuse me? John Wagner: If a person doesn't match a photograph, they simply present their passport... Rep. Yvette Clarke (NY): When you're trying to match them and they don't match what happens to that individual? John Wagner: They present their boarding pass and their passport... Rep. Yvette Clarke (NY): Uh huh. John Wagner: ...and it's manually reviewed at that point in time. Just as it happens today. Rep. Yvette Clarke (NY): is that, and those people aren't detained in any way? They're not asked to step aside, they're not asked to, the process does not delay that person? John Wagner: No, they just show their passport. Rep. Yvette Clarke (NY): Okay. I hope that's the case. 1:33:00 Joseph R. DiPietro: Ma'am, the cameras that we're using as part of this pilot are part of the White House video management system. That's the CCTV system that records videos from all the cameras around the complex. We retain that data for 30 days as part of the CCTV process. So if we're, as we're going through and we're identifying those, those volunteers that are in there, that record is saved and we save that and we're going to evaluate that until the end of the process. 1:36:30 Rep. Debbie Lesko (AZ): Mr. Gould, are you planning on using this or have you thought of using biometric technology or do you for the employees-, the airport employees? Austin Gould: Yes ma'am. We are considering using biometric identification processes for employees as well. 1:42:00 John Wagner: This is not us taking an image of a person and randomly running it against a gallery set of indistinguishable, say, quality photographs and lowering down the accuracy rate as to what constitutes a match, to make it match someone that it's not. Hearing: IDENTIFYING, RESOLVING, AND PREVENTING VULNERABILITIES IN TSA'S SECURITY OPERATIONS, House Committee on Oversight and Reform, June 25, 2019 Watch on Youtube Watch on CSPAN Witnesses: David P. Pekoske, Administrator, Transportation Security Administration, Department of Homeland Security Charles M. Johnson, Jr., Managing Director, Homeland Security and Justice Issues, Government Accountability Office Transcript: 50:00 David Pekoske: Right now, based on a series of rules, a passenger who was not a precheck register or a global entry registrant could get precheck on their boarding pass. We're phasing that out over the course of the next several months. Um, so the precheck experience should get quite a bit better. 1:36:35 Rep. Rashida Tlaib (MI): So are you familiar with Clear? David Pekoske: I am. Rep. Rashida Tlaib (MI): So I want you to know, uh, for, for a while I've been going and I kind of watch the process of clear and realized and went to their website and it says instead of using identification documents, clear uses biometrics, eye scans and fingerprints to confirm identity cleared codes, the biographic information and stores the data to be retrieved supposedly for future flight checks. Once the, it's in person registration as you know administrator, and it's a, that gets completed and then ClearPass can be used. The costs for our residents is about $100 annually and I think they pay a little bit more, I believe, when they first register. I have concerns about this. This is a private company, correct? David Pekoske: It is. Rep. Rashida Tlaib (MI): And they're stepping in to doing their version of a pre TSA check, correct? David Pekoske: Uh no, they are doing identity verification, but it is not pre-check. Rep. Rashida Tlaib (MI): So when they put the information in there, from what I understand from their website, of course they're going to say, you know, Clear's privacy policy seems to indicate that they can't sell the material or they're not going to share the material and so forth. But what's very interesting, administrator, and again this is also for Director Johnson, because I don't know, does JAO look at the Clears airport security process or not? This is why it's concerning. So the company shut down unexpectedly earlier this year for a day because they so called "ran out of money" and no one seems to know the root cause or how safe the data was during that time. And then it goes on to say nothing in the privacy policy explicitly prohibits a data collection company from purchasing Clear just for its data on what is likely or largely, you know, well healed clientele. This is very concerning because even though obviously in there, maybe in their contract, it says that they can't sell or share the data. Where does it say that our information is still protected? Can they sell it to another company? Can they transfer that contract to yet another company? And again, this is for profit companies, private outside companies that are coming in gathering the data and by them being there at the airport next to the pre TSA line and cutting the...we've kind of given some sort of blessing and credibility to this company to do that practice. And so what division approves this outside contract and what kind of oversight are we having, in regards to this process? David Pekoske: Yes, ma'am. Clear is what's called a registered traveler company.. Rep. Rashida Tlaib (MI): Yeah, I know... David Pekoske: ..and the Registered Traveler program was established by Congress. So that program was established by Congress as being implemented as congress had intended. The Clear organization is not under contract with TSA. It is under contract with individual airports. So there is no contractual relationship between TSA and Clear. Our relationship to Clear is via the airports through the Airport Security Program, which we put in place at each airport around the country. Rep. Rashida Tlaib (MI): So is there an [inaudible] Director Johnson, or maybe the administrator can answer? Do you see any security risks of the data being collected and being cleared through, you know, people are being, the cleared process that they have been using to get expedited through the line? Charles Johnson, Jr.: While we have looked at the Pre-check program in the past, we haven't really looked at the Clear program. Hearing: FACIAL RECOGNITION TECHNOLOGY (PART II): ENSURING TRANSPARENCY IN GOVERNMENT USE, House Committee on Oversight and Reform, June 4, 2019 Watch on Youtube Watch on CSPAN Witnesses: Kimberly Del Greco - Deputy Assistant Director, Criminal Justice Information Services, Federal Bureau of Investigation Gretta Goodwin - Director, Homeland Security and Justice, Government Accountability Office Charles H. Romine - Director, Information Technology Laboratory, National Institute of Standards and Technology Austin Gould - Assistant Administrator, Requirements and Capabilities Analysis, Transportation Security Administration Transcript: 2:30 Kimberly Del Greco: The FBI's policy and procedures emphasize that photo candidates returned are not to be considered positive identification, that the searches are photos and will only result in a ranked listing of candidates. 3:15 Kimberly Del Greco: Photos in the NGI, IPS repository are solely criminal mugshots acquired by law enforcement partners with criminal fingerprints associated with an arrest. 3:25 Kimberly Del Greco: The FBI face services unit provides investigative lead support to FBI offices, operational divisions, and legal attache's by using trained face examiners to compare face images of persons associated with open assessments or active investigations against facial images available and state and federal facial recognition systems through establish agreements with state and federal authorities. 3:50Kimberly Del Greco: The face services unit only searches probe photos that have been collected pursuant to the attorney general guidelines as part of an authorized FBI investigation and they are not retained. 4:05 Kimberly Del Greco: This service does not provide positive identification, but rather an investigative lead. 4:45 Kimberly Del Greco: The FBI collaborated with NIS to perform the facial recognition vendor test and determined a most viable option to upgrade its current NGI IPS algorithm. The algorithm chosen boasted an accuracy rate of 99.12% leveraging the nest results. The FBI is implementing the upgraded facial recognition algorithm. 7:30 Gretta Goodwin: We also reported on accuracy concerns about FBI's face recognition capabilities. Specifically, we found that the FBI conducted limited assessments of the accuracy of the face recognition searches before they accept it and deployed the technology. For example, the face recognition system generates a list of the requested number of photos. The FBI only assessed accuracy when users requested a list of 50 possible matches. It did not test smaller list sizes, which might have yielded different results. Additionally, these tests did not specify how often incorrect matches were returned. Knowing all of this, the FBI still deployed the technology. 13:30 Charles Romine: NIST's face recognition vendor testing program was established in 2000 to provide independent evaluations of both prototype and commercially available facial recognition algorithms. Significant progress has been made in algorithm improvements since the program was created. 14:30 Charles Romine Optimal face identification was achieved only when humans and machines collaborated. 16:40 Austin Gould The roadmap has four major goals, partnered with customs and border protection on biometrics for international travelers, operationalize biometrics for TSA precheck passengers, potentially expand biometrics for additional domestic travelers and develop the infrastructure to support these biometric efforts. 17:00 Austin Gould Consistent with the biometrics roadmap, TSA has conducted pilots that use facial biometrics to verify identity at certain airports. 17:25 Austin Gould And passengers always have the opportunity to not participate. In these cases, standard manual identification process is used. 17:30 Austin Gould I have observed the pilot currently underway in Terminal F in Atlanta for international passengers. Of Note, virtually every passenger chose to use the biometric identification process. The facial capture camera used for this pilot was in active mode, meaning that it only captured a facial image after the passenger was in position and the officer activated it. The match rate is extremely high and passengers moved rapidly through the checkpoint. 20:45 Rep. Elijah Cummings (MD) Ms. DelGreco, can you explain how the FBI decides to search a state database versus when it searches its own system and how this policy is determined? Kimberly Del Greco I'd be happy to explain that. The, at the FBI, we have a service called Face Services unit. They process background checks and, uh, process, facial recognition searches of the state DMV photos. They do this in accordance with the attorney general guidelines. An FBI field office has to have an open assessment or an active investigation. They submit the probe photo to the FBI Face Services unit. We launched the search to the state. The state runs the search for the FBI and, and provides a candidate list back. 21:35 Kimberly Del Greco With regard to the NGI IPS, the Interstate Photo system, the Face Services unit will utilize that repository as well as the DMV photos. However, state and local and federal law enforcement agencies only have access to the NGI Interstate Photo system. These are the FBI mugshots that are associated with an 10 print criminal card associated with a criminal arrest record. 22:05 Rep. Elijah Cummings (MD) Well, do individual who consent to having their faces in the noncriminal databases also consent to having their faces searched by the FBI for criminal investigations? For example, when applying for a drivers license, does someone consent at the DMV to being in a database searchable by the FBI? Kimberly Del Greco The FBI worked diligently with the state representatives in each of the states that we have MOUs. We did so under the states’ authority to allow photos to be used for criminal investigations. We also abided by the Federal Drivers License Privacy Protection Act and we consider that a very important process for us to access those photos to assist the state and local law enforcement and our Federal agencies. Rep. Elijah Cummings (MD) Well, you just said state authority allowed you to do this. One question that our ranking member has asked over and over again is do you know whether in any of these states do any elected officials have anything to do with these decisions? In other words, where is that authority coming from and we’re trying to figure out if something affecting so many citizens whether elected officials have anything to do with it. Do you know? Kimberly Del Greco I do. Only in one state - the state of Illinois - did an elected official sign the MOU. In the other states, they were done so with the state representatives. This is state law that’s established at the state level prior to facial recognition and our program getting started. We’re just leveraging that state law. That state law is already in place. We did work with the office of general council at the FBI and the attorney level at the state level. Rep. Elijah Cummings (MD) Well, if it was prior to facial recognition coming into existence, I’m just wondering do you think that whatever laws you’re referring to anticipated something like facial recognition? Kimberly Del Greco It’s my understanding that the states established those laws because of fraud and abuse of drivers licenses and we are just reviewing each of the state laws and working with the representatives in those states to ensure that we can leverage that for criminal investigation. Rep. Elijah Cummings (MD) And so when you say leverage, I guess you’re saying that there were laws that were out there and these laws did not anticipate something like facial recognition and now the FBI has decided that it would basically take advantage of those laws, is that right? 26:00 Rep. Elijah Cummings (MD) Ms. Del Greco, how many states have provided this level of direct access to the FBI? Kimberly Del Greco We do not have direct access. We submit a probe to the state. There’s 21 states… Rep. Elijah Cummings (MD) 21 states, ok. 28:10 Rep. Elijah Cummings (MD) And can the FBI perform a face recognition service for any American with a passport? Kimberly Del Greco For an open assessment or an active investigation. Only by the FBI, sir. 29:25 Kimberly Del Greco Some of those successes are assisting with the capture of the terrorist in Boston. 31:15 Rep. Paul Gosar (AZ) So what sort of accuracy rates are you finding in the different algorithms ability to match an image against a larger gallery of images? Charles Romine The accuracy rates that we're seeing, we have many different participants who have submitted algorithms. Approximately 70 participants in our, in our testing, the best algorithms are performing at a rate of approximately 99.7 in terms of accuracy. There's still a wide variety or wide variance across the number of algorithms. So this is certainly not commoditized yet. Some of the participants faired significantly poorer than that. 32:00 Rep. Paul Gosar (AZ)So are there algorithms that you tested that you would recommend for law enforcement? Charles Romine We don't make recommendations about specific algorithms. We provide the data necessary for making informed decisions about how an algorithm will perform in a field. 32:20 Charles Romine For law enforcement, for example, accuracy rates are one important aspect that needs to be considered, but there are other aspects that have to be taken into consideration for procurement or acquisition of such. 34:15 Rep. Stephen Lynch (MA): Mr. Gould, according to the biometrics roadmap released by TSA in September of 2018, TSA seeks to expand the use of facial recognition technology to "the general flying public" in specific locations. But the "general flying public "and TSA envisions the use of technology upon domestic flights, as well as international, which would capture the faces of mostly American citizens, and I'm just curious, going back to the chairman's original question, what's the legal basis? I'm not talking about a situation with the FBI where you might have, you hopefully would have probable cause. Where does the TSA find its justification? Its legal justification for capturing the facial, uh, identity of, of the flying public. Austin Gould: Yes sir. In accordance with the Aviation Transportation Security Act of 2001, TSA is charged with positively identifying passengers who are boarding aircraft. That probably... Rep. Stephen Lynch (MA): Right. Let me just stop you right there. So, we all fly at least a couple of times a day.... Austin Gould: Yes sir. Rep. Stephen Lynch (MA) : ..a week. So we have, now you have to have a certified license. You can't go with the old version that your State had. Now we have much more accurate licenses. We surrender that oftentimes in the airport during the boarding process, you've got to show it a couple of times you've got a ticketing issue there. So you're doing that right now. Austin Gould: Yes Sir. Rep. Stephen Lynch (MA) : You have been doing that for a long, long time. Austin Gould : Manually, Yes Sir. Rep. Stephen Lynch (MA) : Right. Right. Right. So now you're saying that you're going to do these pilot programs and you're gonna hurt people. Now you're saying voluntarily, but I could imagine like you've done with a pre-check, you can either agree to surrender your right to anonymity and wait in the long line or you can give up your fourth amendment rights and go in the quick line. Is is that the dynamic that's going on here? Austin Gould: Sir, with respect to expanding to the general traveling public, we anticipate using, and we've not tested this yet, a one to one matching capability at the checkpoint. You produce your credential, you stick it in a machine, and the machine identifies whether or not your image, which is captured by the camera, matches the image that's embedded in the credential and it returns a match result. That will then allow you to proceed through the checkpoint. Should you decide not to participate in that program, we will always have the option to do that process manually. Rep. Stephen Lynch (MA) : Right, but to match, you've got to have that data in the.. you've got to have that data onboarding and the technology to begin with to match something with, right? Austin Gould : Sir, that data is embedded in your credential. So the photograph is on your driver's license, for example. There's a digital recording of that image in the credential and when your pictures captured by the camera, it is matched to the photograph on the credential. It does not depart the checkpoint for any database search or anything like that. Rep. Stephen Lynch (MA) : Okay. Austin Gould : That's the one to one identification that we intend to use for the broader traveling public. 37:34 Rep. Stephen Lynch (MA) : You don't anticipate taking, using a database or gathering, collecting a database of information with NTSA, with which to identify passengers? Austin Gould : Sir, for international travelers who have a passport photo on record and for TSA precheck passengers who also provide a passport photo, we will match them to a gallery. But for the general traveling public that does not participate in those programs and merely has a credential, that matching.... Rep. Stephen Lynch (MA) : What's the size of the gallery,? What do you anticipate? Is that, so if anybody engages in international travel, Is that, are they going to be in that or are they foreign nationals who traveled to the U.S.? Austin Gould : Sir, the gallery that we use right now with TVS includes anyone who is traveling internationally and who has a photo on record. 49:40 Rep. William Lacy Clay (MO) : So how many times has the FBI provided notice to criminal defendants that face recognition was used in their case? Kimberly Del Greco : As part of a criminal investigation, I don't believe that's part of the process. 52:00 Rep. Jim Jordan (OH) : Dr. Goodwin, did the FBI publish privacy impact assessment in a timely fashion as it was supposed to when it implemented FRT in 2011? Gretta Goodwin : No. Rep. Jim Jordan (OH) : Did the FBI follow proper notice? File proper notice, specifically the system of record notice in a timely fashion when it implemented facial recognition technology? Gretta Goodwin : No. Rep. Jim Jordan (OH) : Did the FBI conduct proper testing of the next generation interstate photo system when it implemented FRT? Gretta Goodwin : Proper in terms of its accuracy for its use? Rep. Jim Jordan (OH) : Yes Gretta Goodwin : No. Rep. Jim Jordan (OH) : Did the FBI test the accuracy of the states systems that it interfaced with? Gretta Goodwin : No. 58:00 Rep. Carolyn Maloney (NY) : So Mrs. Del Greco, how many searches has the FBI run in the Next Generation ID Interstate Photo system to date? How many searches? Do you have that information? Kimberly Del Greco : I have, I have from fiscal year 2017 to April of 2019. There were 152,500 searches. 1:03:30 Rep. Thomas Massie (KY) : Did you test certain conditions like siblings, the accuracy for siblings? Charles Romine : We do have perhaps the most relevant data that I can give you is, we do know that there is an impact on twins, in the database or in the testing, whether they are identical twins or even fraternal twins. 1:14:50 Austin Gould : Sir, the system that TSA is prototyping in conjunction with CBP uses NEC camera and a matching algorithm that was also developed by NEC. 1:16:50 Rep. Justin Amash (MI) : Do you have plans to implement face recognition technology at additional points in airports beyond besides gates or security checkpoints? Austin Gould : We are prototyping facial recognition technology at bagdrops, so when you drop a bag off to be placed on an aircraft, we can use facial technology, we're exploring the use of facial technology there and then for TSA purposes, only other locations are the checkpoint. 1:17:20 Rep. Mark Meadows (NC) : So Mr. Gould, let me, let me come back. If you're doing at bagdrops, that's not a one on one comparison. I mean if you, what are you comparing it to? If you're, if you're looking at change, checking facial recognition at bagdrops... Austin Gould : Uh Huh? Rep. Mark Meadows (NC) : ..there wouldn't be necessarily the identification that you were talking about earlier. What pilot program are you working with that? Austin Gould : The pilot program in place right now is with Delta Airlines and CBP and TSA and Atlanta's Terminal F and it's a matching of the passengers bag against their identification or their photograph and the TVS, CBP, TVS system. Rep. Mark Meadows (NC) : Well, that contradicts your earlier testimony, Mr. Gould. Because what you said that you were doing is just checking the biometrics within the identification against a facial recognition, but it sounds like you're doing a lot more than that. 1:18:50 Austin Gould: Sir, with respect to the pilot in Atlanta, it's international travelers, and the purpose of that pilot is to positively match using biometrics. The passenger to that bag at the bag drop. The only, the traveler's camp, uh, photograph is captured, images captured. It is transmitted to the CBP TVS system for matching and it returns a match result. That's it. No privacy information or any other data associated with it. 1:41:30 Rep. Jim Jordan (OH): The numbers. Dr. Goodwin, how many..what number of photos does the FBI have access to in just their database? Gretta Goodwin: In just their database, it's a little over 20 plus, 36 million. Rep. Jim Jordan (OH): 36 million. And then in the databases that they can then send information to and that are screened and used and there's interface, interaction with, at the state level. What is the total number of photos in those databases? Gretta Goodwin: So access to photos across all the repositories? About 640 million. Rep. Jim Jordan (OH): 640 million photos? Only 330 million people in the country. 1:45:35 Charles Romine: We don't test for specific companies on their behalf. We test or evaluate the algorithms that are submitted to us through this voluntary program. 1:45:45 Charles Romine: We don't test specifically for Algorithms, demographic effects. We're talking about the demographic effects across all of the Algorithms that are submitted. 1:49:30 Rep. Mark Meadows (NC): Is you mentioned about not having any real time systems, and yet we had a testimony just a couple of weeks ago from Georgetown that indicated that Chicago Police Department, Detroit Police Department has real-time. They purchased it where they're actually taking real-time images. Do They Ping the FBI to validate what they've picked up in real-time with what you have on your database? Kimberly Del Greco: I mean, there are authorized law enforcement entities that have access to our system. 1:53:25 Rep. Mark Meadows (NC): I would suggest that you put this pilot program on hold, because I don't know of any appropriations that specifically allowed you to have this, this pilot program. Are you aware of any? Because you keep referring back to a 2001 law, and I'm not, I'm not aware of any appropriations that have been given you the right to do this pilot program. Austin Gould: I'm not aware of any specific appropriations. Rep. Mark Meadows (NC): Exactly, so I would recommend that you stop it until you find out your statutory authority. 2:29:12 Rep. Alexandria Ocasio-Cortez (NY): The TSA has outlined proposals to collaborate with private companies including Delta and Jet Bue to develop and implement their facial recognition search systems. Is this correct? Austin Gould: Ma'am, we've issued a security program amendment to Delta to allow them to use biometric identification at their bagdrop. In terms of partnering with them to develop the backend matching system, that is something that we're solely engaged withCBP on..... Rep. Alexandria Ocasio-Cortez (NY): And the bagdrop, those are the computers that folks check in and get their boarding pass from? Austin Gould: That would be the, I would use the term "kiosk" for that. Rep. Alexandria Ocasio-Cortez (NY): "The kiosk?" Austin Gould: Delta uses that technology at their kiosk. TSA has no equity there, that's solely to verify that passenger has a reservation with Delta where we have equities that are checkpoint and also at the bagdrop where we're required to ensure that the passengers match to their bag. Rep. Alexandria Ocasio-Cortez (NY): Do individuals know that that is happening and do they provide explicit consent? Is it opt in? Austin Gould: Passengers have the opportunity to not participate. Rep. Alexandria Ocasio-Cortez (NY): So it's opt out, but not opt in? Austin Gould: It is, yes ma'am. Rep. Alexandria Ocasio-Cortez (NY): So it's possible that jet blue and Delta are working with the TSA to capture photos of passengers faces without their explicit opt-in consent? Austin Gould: Man, I was down in Atlanta last week and watched the Delta Check-in Process, the bagdrop process, and it was very clear, while I was down there, the passengers were afforded the opportunity, if you'd like to use, you know, facial capture for identification, please stand in front of the camera and we'll do so. There was no automatic capture of passengers or anything like that. Rep. Alexandria Ocasio-Cortez (NY): And this capture is not saved in any way, but is a..-correct, right? Austin Gould: No, ma'am. The camera captures the image. The image is encrypted. It is sent to the TVS matching system, which is what CBP uses solely for the purpose of match. And then that match result is sent back to to the operator. Rep. Alexandria Ocasio-Cortez (NY): Is that captured image destroyed? Austin Gould: It's not retained at all. No, ma'am. Rep. Alexandria Ocasio-Cortez (NY): So it's sent, but it's not retained? Austin Gould: It's not retained on the camera. No, ma'am. Hearing: FACIAL RECOGNITION TECHNOLOGY (PART 1): ITS IMPACT ON OUR CIVIL RIGHTS AND LIBERTIES, House Committee on Oversight and Reform, May 22, 2019 Watch on Youtube Watch on CSPAN Witnesses Neema Singh Guliani - Senior Legislative Counsel at the American Civil Liberties Union (ACLU) Clare Garvie - Center on Privacy & Technology Senior Associate at Georgetown Law School Joy Buolamwini - Founder of the Algorithmic Justice League Andrew Ferguson - Law Professor at the University of the District of Columbia Transcript: 13:15 Joy Buolamwini Due to the consequences of failures of this technology, I decided to focus my MIT research on the accuracy of facial analysis systems. These studies found that for the task of guessing a gender of a face; IBM, Microsoft, and Amazon had errors of no more than 1% for lighter-skinned men. In the worst case, those errors rose to over 30% for darker skinned women. Given such accuracy disparities, I wondered how large tech companies could have missed these issues. It boiled down to problematic dataset choices. In evaluating benchmark data sets from organizations like NIST, (The National Institute for Standards and technology) I found some surprising imbalances. One missed dataset was 75% male and 80% lighter skin, or what I like to call a pale male dataset. We cannot adequately evaluate facial analysis technologies without addressing this critical issue. Moving forward, the demographic and phenotypic composition of missed benchmarks must be made public and updated to better inform decision makers about the maturity of facial analysis technology. 21:30 Clare Garvie Face recognition gives law enforcement a power that they've never had before and this power raises questions about our fourth and first amendment protections. Police can't secretly fingerprint a crowd of people from across the street. They also can't walk through that crowd demanding that everybody produce their driver's license, but they can scan their faces,remotely and in secret, and identify each person thanks to face recognition technology. 22:00 Clare Garvie Last year, the Supreme Court in Carpenter noted that for the government to secretly monitor and catalog every one of our movements across time and space violates our right to privacy protected by the fourth amendment. Face recognition enables precisely this type of monitoring, but that hasn't stopped Chicago, Detroit, and other cities from acquiring and piloting this capability. The Supreme Court held in NAACP vs. Alabama, Tally vs. California, and others that the first amendment protects the right to anonymous speech and association. Face recognition technology threatens to upend this protection. 23:00 Clare Garvie Face recognition makes mistakes and its consequences will be born disproportionately by African Americans. 1. Comunities of color are disproportionately the targets of police surveillance, face recognition being no exception. San Diego found that their police used face recognition up to a two and a half times more on African Americans than on anyone else. 2. People of color are disproportionately enrolled in police face recognition systems, thanks to being over-represented in mugshot databases that the systems run on. And 3, Studies continue to show that the accuracy of face recognition varies depending on the race of the person being searched. Face recognition makes mistakes and risks making more mistakes, more misidentification's of African Americans. And the state could mean you're accused of a crime you didn't commit, like the Brown University student erroneously identified as one of the Sri Lankan bombers earlier this month. One of this country's foundational principles is equal protection under the law. Police use of face recognition may not comport with this principle. 24:05 Clare Garvie Left unchecked, current police face recognition practices threaten our due process rights. My research has uncovered the fact that police submit what can only be described as garbage data into face recognition systems expecting valuable leads in return. The NYPD submitted a photo of actor Woody Harrelson to find an unknown suspect in a beer theft. They have submitted photos of suspect whose eyes are mouths have been cut and pasted in from another person's photo, essentially, fabricating evidence. Agencies submit drawings of suspects in places of photos as well, despite research showing that this will not work. Worse, officers' at times then skip identification procedures and go straight to arresting someone on the basis of a face recognition search. This practice runs counter both to common sense and to department's own policies and these practices raised serious concerns about accuracy and the innocence of the person arrested because of a face recognition search. 25:15 Clare Garvie These systems produce Brady material, information that under our constitutional right to due process must be turned over to the defense, but it's not. 25:25 Clare Garvie For all these reasons, a moratorium on the use of face recognition by police is both appropriate and necessary. 30:15 Neema Singh Guliani The committee should Look at companies that are aggressively marketing this technology to the government, including how accurate their technologies are and what responsibility they take to prevent abuse. Companies are marketing this technology for serious uses, like identifying someone during a police encounter, and we know far too little. For example, Amazon has even refused to disclose who it sells this technology too and companies like Microsoft and Face Burst have so far not received significant congressional attention. 30:45 Neema Singh Guliani There are efforts across the country to stop this dangerous spread of this technology. San Francisco has banned the use by city departments and Amazon shareholders are today taking the unprecedented step of voting on a resolution that would stop the company from selling this technology to the government and force it to study the human rights impacts. Congress should follow these good examples and put in place a moratorium on law enforcement use. 39:44 Rep. Katie Hill (CA) Professor Ferguson, do you think that the supreme court can rule quickly enough upon the use of these technologies as the cases arise to thwart constitutionally questionable uses? Andrew Ferguson They can, but they won't do as good a job as congress regulating it. Now, Justice Alito has repeatedly made that claim, and I think he's correct to say that this kind of technology should be regulated first, by Congress. The fourth amendment floor will exist and the Supreme Court will address it. But this body has the primary responsibility to regulate in this field. 44:57 Rep. Jim Jordan (OH) Did the state legislature and the governor actually pass legislation saying it was okay for the FBI to access every single person in their state who has a driver's license? Did that happen in those 18 or 19 states that gave that permission to the FBI? Neema Singh Guliani No, and that's the problem. This was all in secret essentially. Rep. Jim Jordan (OH) So some unelected person at the FBI talks to some unelected person at the state level and they say, "yeah, go ahead". Here's.. In the case of Ohio, we've got 11 million people, most of them drive, here's 10 million folks who you can now have their, have this database. Neema Singh Guliani Right, and the people who wanted a driver's license many times didn't know these systems were operating either. 1:02:16 Rep. Michael Cloud (TX) Miss Buolamwini, did I say that right? Joy Buolamwini Yes, You did. Rep. Michael Cloud (TX) Okay. You mentioned Facebook, in your remarks and I find that interesting cause I'm extremely concerned about the government having this kind of unknown checked ability. I would be curious to get your thoughts of corporations having the same sort of ability and also Ms.Garvie and Ms. Guliani, if you want to speak to that too. Joy Buolamwini Absolutely. So you're looking at a platform that has over 2.6 billion users and over time, Facebook has been able to amass enormous facial recognition capabilities using all of those photos that we tagged without our permission. What we're seeing is that we don't necessarily have to accept this as the default. So in the EU where GDPR was passed, because there's a provision for biometric data consent, they actually have an option where you have to opt in. Right now we don't have that in the US and that's something we could immediately require today. 1:09:10 Joy Buolamwini We don't even have reporting requirements, at least in the UK where they have done pilots of facial recognition technology. There are reported results and you have false positive match rates of over 90%. There's a big brother Watch UK report that came out that showed more than 2,400 innocent people had their faces misidentified. 1:13:05 Clare Garvie Law enforcement agencies don't typically have access to the training data or to how the algorithms work as well, because these are private companies that have developed these systems and it's considered a trade secret. 1:14:22 Clare Garvie We see China as a bit of a roadmap of what's possible with this technology in the absence of rules. And in the absence of rules, this is a system where everybody is enrolled in the backend and there are enough cameras to allow law enforcement to track where somebody is anytime they show their face in public, to upload their photo and see where they've been over the last two weeks, be that public rallies or an alcoholics anonymous meeting or, a rehab clinic. That information is now available at the click of a button or the upload of a photo. That's what face recognition looks like with no rules. 1:15:14 Clare Garvie Our research has found that, two, at least two major jurisdictions, Chicago and Detroit have purchased this capability and have paid to keep it, to maintain it. Chicago says they do not use it. Detroit, did not deny that they were using it. There's is designed to operate with project greenlight, which is specifically locations like, yes, gas stations and liquor stores, but also churches and clinics and schools. 1:41:41 Clare Garvie A handful of other agencies across the country, Los Angeles, the West Virginia Intelligence Fusion Center, and others have either piloted or have looked to purchase this technology as well. 1:41:55 Rep. Carol Miller (WV) Are there any federal agencies to your knowledge that utilize real time face surveillance? Clare Garvie The U.S. Secret service is piloting a program around the White House complex as we speak. We do not know the degree to which the FBI has been piloting this. We do know they have acquired or have been using Amazon recognition, which is the same, uh, surveillance capability that Orlando has been piloting in real time. But there is no transparency into how an when they're using that. 1:44:55 Rep. Alexandria Ocasio-Cortez (NY) Ms. Buolamwini, right now, Amazon can scan your face without your consent, all of our faces without our consent and sell it to the government, all without our knowledge, correct? Joy Buolamwini Yes. Rep. Alexandria Ocasio-Cortez (NY) And you know, Mr Chair, I'd like to seek unanimous consent on how Amazon actually met with ICE officials over facial recognition systems that could identify immigrants. I'd like to submit this to the congressional record. Chairperson Without objection. Rep. Alexandria Ocasio-Cortez (NY) Thank you so much. Um, Miss Garvie, in fact, it's not just Amazon that's doing this right? It's Facebook. It's Microsoft. It's a very large amount of tech corporations, correct? Clare Garvie That's correct. Rep. Alexandria Ocasio-Cortez (NY) And you think it's fair to say that Americans are essentially being spied on and surveilled on a massive scale without their consent or knowledge? Clare Garvie I would make a bit of a distinction between what Facebook, and other companies are doing, but yielding to Miss Buolamwini for more specifics on this. I will say most of the law enforcement agency systems operate on DMV databases or mugshot databases, so information that has been collected by agencies rather than companies. 1:50:15 Joy Buolamwini So there's a case with Mr. Bah, an 18 year old African American man who was misidentified in Apple stores as a thief. And in fact, he was falsely arrested multiple times because of this kind of misidentification. 2:07:50 Rep. Jimmy Gomez (CA) Until February of this year, Amazon had not submitted its controversial facial recognition technology recognition to third party testing with the National Institute of Standards and technology known as NIST. In a January, 2019 blog post, Amazon stated that "Amazon recognition can't be downloaded for testing outside of Amazon." In short, Amazon would not submit to outside testing of their algorithm. Despite the fact that Amazon had not submitted its facial recognition product to outside testing, it still sold that product to police departments. In 2017, police in Washington county, Oregon started using Amazon recognition technology. 2:28:15 Rep. Gerald Connolly (VA) The ubiquity of this technology, it strikes me, maybe we've already kind of mostly lost this battle. 2:36:30 Rep. Jamie Raskin (MD) We are now seeing that most companies that develop facial recognition systems offer also real time software. Do we know how many of these are selling their technology to government actors in the United States? Clare Garvie That's right. Most, if not all companies that market face recognition to law enforcement in the U.S., also advertise the abilities to do face surveillance. We have no idea how widespread this is thanks to a fundamental absence of transparency. We have limited visibility into what Chicago is doing, what Detroit's doing. Orlando, the secret service here in Washington, D.C. and in New York, thanks to FOIA records and investigative journalists work. But for a vast majority of jurisdictions, we have no idea. 2:37:20 Rep. Jamie Raskin (MD) But well, what's the minimum you think? Clare Garvie So, we can estimate conservatively that face recognition generally both used as an investigative tool, and potentially as a surveillance tool is, accessible to at very least, a quarter of all law enforcement agencies across the U.S. That's a conservative estimate because it's based on 300 or so records requests where there are 18,000 law enforcement agencies across the country. 2:39:00 Joy Buolamwini So Facebook has a patent, where they say because we have all of these space prints collected often without consent, we can now give you an option as a retailer to identify somebody who walks into the store and in their patent they say, "we can also give that face a trustworthiness score and based on that trustworthiness score, we might determine if you have access or not to a valuable good". So this... Rep. Jamie Raskin (MD) Facebook is selling this now? Joy Buolamwini This is a patent that they filed; as in something that they could potentially do with the capabilities they have, so as we're talking about state surveillance, we absolutely have to be thinking about corporate surveillance as well. Cover Art Design by Only Child Imaginations Music Presented in This Episode Intro & Exit: Tired of Being Lied To by David Ippolito (found on Music Alley by mevio)
I am M.A.D. (Making A Difference) believes that even through our smallest positive habits and simplest acts of volunteerism, we can contribute to a better world. Join our Big and Small J's (Jay from the Philippines and Jao from Australia) as the duo talks with our volunteers. Now in a podcast, MAD Talks—one of its longest initiatives and a national finalist program, showcases powerful, inspirational stories of love, living, and learnings—and the MADgic of V! If you have experiences of "Nagmahal, Nasaktan, Nagvolunteer," or just want to hear some great advice and a little fun, this is for you! --- Send in a voice message: https://anchor.fm/iammad/message
David, Kodjo och Katherine får besök av Richard Henriksson från Radiosporten som berättar allt om Michael Jordan, den ikoniska basketspelaren som är aktuell i dokumentärserien The Last Dance. Vi ringer upp Ruben Östlund som behöver hjälp att rita åsnor och Katherine berättar om när hon blev busted.
Manusförfattaren och regissören Edward Af Sillén har både kommenterat Eurovision Song Contest och skrivit manus till mello, och när årets upplaga av ESC ställdes in bestämde han sig för att ta saken i egna händer. Edward berättar om Sveriges tolva, det alternativa ESC, som kommer sändas istället för den stora finalen. Dessutom levererar Kalle Star Wars-väder så här på May the Forth, och vi får höra om när lyssnarna blivit inlåsta.
Marcus, Hanna och David får besök av två stycken Henrik! Henrik Torehammar om det senaste i svensk politik och Henrik Nyblom om livet som resande komiker. Dessutom snackar vi med Fernando Arias direkt från Iowa där valcirkus råder och Tina drar oss ner ett hål fyllt av Simpson-inspirerad musik. Marcus visar även upp sin nya jacka!
Marcus, Maria och Nanna träffas igen efter en veckas avbrott i Morgonpasset-flödet på grund av #MH19. Det blir diskussioner om allt från författaren Michel Houellebecq till penisfiskar. Dessutom är världens starkaste kvinna, Martina Andersson gäst!
Nanna, Kodjo och Ahmed skulle fått sällskap av skräckfilmsikonen Freddy Kreuger men han ställde tyvärr in i sista sekund på grund av magsjuka. Istället går de igenom för långa filmer, varför bikram yoga inte är toppen och förvånas över världens första gris med apgener. Med i studion är dessutom kompisen Myrna Lorentzson.
Sneak ON AIR, la première et la seule émission de radio 100% sneakers au monde !!! sur la radio RBS tous les mardis de 20h à 21h.Animée par l'équipe de Sneakers EMPIRE.Actu sneakers, invités, SANA, talk. Story insta de l'épisode. Pour cet épisode, c'est Léo Ribert JD Sport notre invité. Le Sneakers Addict Non Anonyme est Jao avec sa Nike Jordan 4 Pure Money.
Marcus, Kodjo och David inleder veckan och pratar om hur man kan lyckas med både utbildning och jobb genom att ta lite genvägar. Vi fortsätter med våra Nobelmåndagar den här gången snackar vi ekonomi. Vilka fick årets Ekonomipris och vad har de gjort för mänsklighetens största nytta? Martina Björkman-Nyqvist är docent i nationalekonomi och kommer och förklarar.
Hanna har kommit tillbaka från sin skrivarstuga på Fårö, Linnea har fått älglöss och David funderar på ungdomsmode från förr. Vi får dessutom besök av Paulina Ryktönen som berättar allt om svenskarnas starka relation till mjölk.
Det pratas om att fucka ur på prylar och slå sönder saker när Linnea, Marcus och David är i studion denna tisdagsmorgon. Linnea myntar begreppet "föräldrapåse" och vi lär känna Martin Luuk.
David, Hanna och Kodjo reder ut skillnaden mellan dadlar och fikon, tittar på svart som är så svart att 3D blir 2D och Hanna lär sig hur man gör squats. Dessutom gästas gänget av konstnären Ester Eriksson.
Vreme je za četrnaestu epizodu vašeg omiljenog filmskog podkasta. Ovoga puta, predstavljamo letnji specijal o ostvarenjima koja tokom jula stižu na repertoar srpskih i svetskih bioskopa. „Prvi red“ ove nedelje donosi detaljni osvrt na sve potencijalne letnje hitove koji će se u bioskopima pojaviti do kraja meseca. Krećemo od aktuelnog reperotara i najsvežije pristiglih filmova: Spajdermen je ovog leta daleko od kuće, dok se Anabel vratila kući. Tu je i osvrt na karijeru Denija Bojla i njegov najnoviji hit, džuboks mjuzikl „Juče“, kao i sve što treba da znate o francuskoj drami „Jaovo putovanje“! „Spajdermen: Daleko od kuće“ – U bioskope je stigao novi Marvelov bioskopski supeherojski spektakl! Sezona je godišnjih odmora, ali Piter Parker nema mira ni kad otputuje od kuće na ekskurziju sa školskim drugovima. U ulozi Spajdermena/Pitera Parkera ponovo gledamo britanskog glumca Toma Holanda, dok ostatak udarne glumačke postave filma Džona Votsa čine Džejk Džilenhol, Samjuel L. Džekson, Marisa Tomej, Zendeja... „Jaovo putovanje“ – Omar Si, zvezda filma „Nedodirljivi“, glumi u najnovijem filmu francuskog reditelja Filipa Godoa. Si glumi gospodina Tala, poznatog francuskog glumca, koji se vraća u zemlju svojih predaka, u Afriku. Tal u Senegalu sreće svog mladog obožavaoca, dečaka po imenu Jao. Tal i Jao će se (naravno) sprijateljiti, a da li njihova zajednička avantura zavređuje vašu pažnju saznajte iz naše kritike. Serijal „Prizivanje zla“ – U bioskopima se trenutno prikazuje sedmi deo u svetskim okvirima trenutno najpopularnijeg horor serijala, film „Anabel 3: Povratak kući“. To je prilika da se podsetimo svih filmova iz ovog univerzuma punog duhova i demona, porazgovaramo o njihovim pojedinačnim postignućima, i osvrnemo se na budućnost ove frašize. Filmovi Denija Bojla – Britanski sineasta Bojl trenutno u svetskim i srpskim bioskopima ima hit film „Juče“, što je lepa prilika da se osvrenemo da sve uspone i padove ovog prolifičnog reditelja. Podsetićemo se filmova „Malo ubistvo među prijateljima“ (1994), „Trejnspoting“ (1996), „Plaža“ (2000), „28 dana kasnije“ (2002), „Sunce“ (2007), „Milioner sa ulice“ (2008), „127 sati“ (2010)... Bioskospke premijere tokom jula – Do kraja meseca, u srpske bioskope stižu brojni novi filmovi. Izdvojićemo potencijalno najzanimljivije. Srpske premijere 11. jula imaju „Plen“ (horor Aleksandra Aže sniman u Srbiji), „Ortaci na točkovima“ (akciona komedija sa Dejvom Bautistom), „U ratu“ (u Kanu prikazana francuska drama) i „Otrovna ruža“ (triler sa Džonom Travoltom i Morganom Frimanom u glavnim ulogama). Sedam dana kasnije stižu nam igrana verzija Diznijevog klasika „Kralj lavova“, francuska komedija „Ibica“ sa Krisitjanom Klavijeom, italijanska krimi-komedija „Čarobne noći“ i triler „Projekat Kolibri“ u kome glume Džesi Ajzenberg, Aleksander Skarsgord i Salma Hajek. Na srpskom repertoaru 25. jula debituju rimejk horora „Dečija igra“, franskuska gej drama „Živi brzo, umri polako“ i akcijaš „Plan bekstva 3“ i naučno-fantastična ekstravaganca „Čelično nebo 2“. Koja su naša predviđanja u vezi sa ovim filmovima? Pogledajte četrnaestu epizodu „Prvog reda“ i saznajte!
David, Victor och Maria kickar igång veckan. Victor har lämnat illaluktande gammal mat i studion vilket leder oss in på störiga saker som ens kollega gör. Vi snackar laster, hur långt ett jordsnurr är och vi får även besök av hitmakaren Alexander Kronlund som sitter i Idoljuryn och har skrivit låtar till några av världens största artister, festat med Beyoncé och jobbade med Britney Spears under skandalåret 2007.
We are joined for a special interview by one of the top basketball players in the state of Maryland, Jao Ituka. Adam and Jao discuss learning to lead as an underclassman, as well as how leadership roles change for players as they grow as a leader and player. Players are sure to love the valuable […]
En este nuevo episodio del podcast en español #ConfesionesDeMachos, le preguntamos a la gente qué opina sobre la estética de los penes. ¿Son lindos? ¿Tiernos? ¿Acariciables? ¡Acá lo descubrirás junto a Jao Bonilla y Pipe Quintero, nuestros machos de cabecera!
¿Un trío? No, ¡mejor felices lo cuatro! Estos machos se le miden a lo que sea a la hora de obtener lo que quieren. Escucha, en este nuevo episodio del podcast en español #ConfesionesDeMachos, la primera parte de la historia de una orgía.
¿Qué le escriben los hombres a las mujeres a la hora de conquistar?, ¿lo mismo que cuando solo quieren llevarla a la cama? En el primer episodio del podcast en español #ConfesionesDeMachos, Jao Bonilla y Pipe Quintero te cuentan sus trucos para coquetear por WhatsApp.
We told you so! JaoPoker abruptly closes and has probably stolen player funds. PFA freeroll controversy involves allegation of collusion and bans from the poker room. Stupid couple makes brazen robbery of South Point in Las Vegas. PPA might shut down due to end of funding from Pokerstars. Go ahead and disturb: Caesars to soon stop honoring Do Not Disturb Signs. Fellow Brits belly buster and Mr. Tickle call in. ESPN announces WSOP broadcast schedule. Parker Talbot accidentally slips that Jason Somerville is likely making $300,000 per year as Pokerstars pro. Sign of the times: Atlantic City casino casino had meth lab, caused fire. Anti-gambling Hawaii looking to regulate video game "loot boxes". Lucky Dragon casino in Vegas files for bankruptcy. Is a giant, earth-looking sphere coming to Las Vegas? Simple code can save you an extra 5% on most Caesars Las Vegas properties. Trump tax cuts save MGM's lackluster 4th quarter 2017. Co-hosted the entire time with Brandon "Drexel" Gerson, along with tradershky and khalwat in the first half.
We told you so! JaoPoker abruptly closes and has probably stolen player funds. PFA freeroll controversy involves allegation of collusion and bans from the poker room. Stupid couple makes brazen robbery of South Point in Las Vegas. PPA might shut down due to end of funding from Pokerstars. Go ahead and disturb: Caesars to soon stop honoring Do Not Disturb Signs. Fellow Brits belly buster and Mr. Tickle call in. ESPN announces WSOP broadcast schedule. Parker Talbot accidentally slips that Jason Somerville is likely making $300,000 per year as Pokerstars pro. Sign of the times: Atlantic City casino casino had meth lab, caused fire. Anti-gambling Hawaii looking to regulate video game "loot boxes". Lucky Dragon casino in Vegas files for bankruptcy. Is a giant, earth-looking sphere coming to Las Vegas? Simple code can save you an extra 5% on most Caesars Las Vegas properties. Trump tax cuts save MGM's lackluster 4th quarter 2017. Co-hosted the entire time with Brandon "Drexel" Gerson, along with tradershky and khalwat in the first half.
We told you so! JaoPoker abruptly closes and has probably stolen player funds. PFA freeroll controversy involves allegation of collusion and bans from the poker room. Stupid couple makes brazen robbery of South Point in Las Vegas. PPA might shut down due to end of funding from Pokerstars. Go ahead and disturb: Caesars to soon stop honoring Do Not Disturb Signs. Fellow Brits belly buster and Mr. Tickle call in. ESPN announces WSOP broadcast schedule. Parker Talbot accidentally slips that Jason Somerville is likely making $300,000 per year as Pokerstars pro. Sign of the times: Atlantic City casino casino had meth lab, caused fire. Anti-gambling Hawaii looking to regulate video game "loot boxes". Lucky Dragon casino in Vegas files for bankruptcy. Is a giant, earth-looking sphere coming to Las Vegas? Simple code can save you an extra 5% on most Caesars Las Vegas properties. Trump tax cuts save MGM's lackluster 4th quarter 2017. Co-hosted the entire time with Brandon "Drexel" Gerson, along with tradershky and khalwat in the first half.
Leon Tsoukernik fires back at criticism, more info comes out regarding accused bet/loan welching. "Action" Ashley Hine comes on the show to do a tell-all about her time as an affiliate for Jao Poker. Chris Ferguson is WSOP Player of the Year. James Woods calls Daniel Negreanu "a cowardly piece of shit" on Twitter. New member on PokerFraudAlert claims to be a "poker debt collector", but is this a good or bad thing? Is Tom Dwan engaged? Mob figure sentenced for involvement in Brooklyn underground poker game. Israel starts to go after poker tournament players who reported income as "gambling winnings". Pokerstars poker-related revenue has fallen to 67% of their total revenue. Caesars Seven Stars can receive $1200 in rewards credits for taking 2017 "annual trip" to Vegas.
Leon Tsoukernik fires back at criticism, more info comes out regarding accused bet/loan welching. "Action" Ashley Hine comes on the show to do a tell-all about her time as an affiliate for Jao Poker. Chris Ferguson is WSOP Player of the Year. James Woods calls Daniel Negreanu "a cowardly piece of shit" on Twitter. New member on PokerFraudAlert claims to be a "poker debt collector", but is this a good or bad thing? Is Tom Dwan engaged? Mob figure sentenced for involvement in Brooklyn underground poker game. Israel starts to go after poker tournament players who reported income as "gambling winnings". Pokerstars poker-related revenue has fallen to 67% of their total revenue. Caesars Seven Stars can receive $1200 in rewards credits for taking 2017 "annual trip" to Vegas.
Onestep announces winner of his "urine" contest. Druff attends first World Series game of his life. Pokernews discloses they are owend by Pokerstars, 22 months after it was reported by PokerFraudAlert. Collusion ring busted at Party Poker. Dissention in the ranks at JaoPoker -- several affiliates are unhappy. Stratosphere-affiliated "AcePlay" free money poker in Nevada will close. Chris Ferguson wins WSOPE bracelet, seems to be lock for Player of the Year. Tip regarding getting money back from Bovada/Ignition disconnections and crashes. Pennsylvania governor signs gaming bill, is New York next? Doug Polk receives YouTube "Silver Play Button" award. Las Vegas Caesars properties to start charging Nevada residents for parking. Druff's final thoughts on 2017 World Series. Cupid Stunt checks in. khalwat and traderusky co-host.
Onestep announces winner of his "urine" contest. Druff attends first World Series game of his life. Pokernews discloses they are owend by Pokerstars, 22 months after it was reported by PokerFraudAlert. Collusion ring busted at Party Poker. Dissention in the ranks at JaoPoker -- several affiliates are unhappy. Stratosphere-affiliated "AcePlay" free money poker in Nevada will close. Chris Ferguson wins WSOPE bracelet, seems to be lock for Player of the Year. Tip regarding getting money back from Bovada/Ignition disconnections and crashes. Pennsylvania governor signs gaming bill, is New York next? Doug Polk receives YouTube "Silver Play Button" award. Las Vegas Caesars properties to start charging Nevada residents for parking. Druff's final thoughts on 2017 World Series. Cupid Stunt checks in. khalwat and traderusky co-host.
PokerFraudAlert invasion of Live at the Bike scheduled for October 11. Gardens Casino tournament fiasco update. Ignition player claims his $9500 bitcoin cashout was hijacked and sent elsewhere. New ugly rumors dog JaoPoker. Allen Kessler in Twitter flap over his Bumble dating account. New DFS site Draftboard seeks to give a better shot to casual players. Druff may do eating challenge to get free DFS money. PokerTribes.com (of Oklahoma) gets license to operate from Isle of Man. Man who won $10 million jackpot in Vegas declares he will waste all of the money. Caesars bankruptcy nightmare is almost over, will shed $10 billion in debt. Biggest Portland-area card room to lose license on October 30. Editorial: NFL anthem protesting? Reasonable, offensive, or something else?
PokerFraudAlert invasion of Live at the Bike scheduled for October 11. Gardens Casino tournament fiasco update. Ignition player claims his $9500 bitcoin cashout was hijacked and sent elsewhere. New ugly rumors dog JaoPoker. Allen Kessler in Twitter flap over his Bumble dating account. New DFS site Draftboard seeks to give a better shot to casual players. Druff may do eating challenge to get free DFS money. PokerTribes.com (of Oklahoma) gets license to operate from Isle of Man. Man who won $10 million jackpot in Vegas declares he will waste all of the money. Caesars bankruptcy nightmare is almost over, will shed $10 billion in debt. Biggest Portland-area card room to lose license on October 30. Editorial: NFL anthem protesting? Reasonable, offensive, or something else?
Credit card deposit skimming on the rise at Bovada, Betonline, others. Betonline accused of canceling winning political prop bets. William Kassouf does massive slowroll on Live at the Bike. Shady JaoPoker manager Tam Nguyen in battle with shady Full Flush affiliate Jon "kahntrutahn" Brown. ACR victim of DDoS attacks again, cancels tournament series. Doug Polk challenges Tom Dwan to 5 million dollar NLHL heads up match, but will it happen? Radio listener "AHoosierA" causes controversy at tournament after weird bubble stall tactic. Phil Galfond announces further delays for his "Run it Once" online poker site. Global Poker League adds India league to their offerings. PokerGO to add "Major Wager" prop bet show to its lineup. PayPal seems to be allowing legal gambling transactions to be processed on their site - NLOP Poker now uses them. Pokerstars stops allowing winning multiple satellite tickets to same event. Craig Carton of "Boomer and Craig" radio show busted in Ponzi scheme meant to pay off gambling debts. What is wrong with the Dodgers all of a sudden?
Credit card deposit skimming on the rise at Bovada, Betonline, others. Betonline accused of canceling winning political prop bets. William Kassouf does massive slowroll on Live at the Bike. Shady JaoPoker manager Tam Nguyen in battle with shady Full Flush affiliate Jon "kahntrutahn" Brown. ACR victim of DDoS attacks again, cancels tournament series. Doug Polk challenges Tom Dwan to 5 million dollar NLHL heads up match, but will it happen? Radio listener "AHoosierA" causes controversy at tournament after weird bubble stall tactic. Phil Galfond announces further delays for his "Run it Once" online poker site. Global Poker League adds India league to their offerings. PokerGO to add "Major Wager" prop bet show to its lineup. PayPal seems to be allowing legal gambling transactions to be processed on their site - NLOP Poker now uses them. Pokerstars stops allowing winning multiple satellite tickets to same event. Craig Carton of "Boomer and Craig" radio show busted in Ponzi scheme meant to pay off gambling debts. What is wrong with the Dodgers all of a sudden?
Full shownotes at: www.80dayspodcast.com/jao || In the finale of season 2 of 80 Days: An Exploration Podcast, we'll be discussing the Jewish Autonomous Oblast, a somewhat independent region in the Russian Far East wedged between Siberia and Northern China. Its capital is the city of Birobidzhan, and with 75,000 inhabitants it is by far the most populated part of the region. For that reason, the name Birobidzhan is often used to refer to the whole area. Officially founded in 1934 as an attempt to create a Jewish state within Russian borders, the territory was the world’s first attempt at a Jewish national homeland in modern times, and today is Russia's only autonomous oblast. Aside from Israel, it is the world's only officially Jewish territory. As of the 2010 Census, JAO's population was 176,558 people, or 0.1% of the total population of Russia. Judaism is practiced by only 0.2% of the population of the JAO. This special episode was commissioned by one our very generous Kickstarter backers, Ian Prince of New York City. Your hosts are Luke Kelly @thelukejkelly in Hong Kong, Mark Boyle @markboyle86 in the UK, and Joe Byrne @anbeirneach in Switzerland. (Theme music by Thomas O’Boyle)
Twenty years ago New Yorker Gale Mayron founded the beauty brand Jao. But it's more than a beauty brand. Her first product was the Jao Refresher. (It really is the best to travel with or keep on your desk. It smells incredible and is all natural.)Gale also has Goe Oil, Coiffette (my fave), Jao lip balm and a bunch of other products available on her website or at Madewell and Anthropologie.In this episode Gale talks about everything, including having children, a partner and running a business. "I think I balance it because I don't care as much as some women do. You have to be a little more selfish. You have to be a little more trusting that your kids are going to be ok." Gale continues to be right about everything.Follow Gale on Instagramhttps://www.instagram.com/jao_brand/
Interview with Mike Noori, the "Eat $1000 at McDonalds in 36 Hours Bet" guy. Interview with Tam Nguyen, an affiliate of the controversial multi-level marketing poker site JaoPoker. Ignition seems to be losing action after seating procedure change. PKR poker room closes. Andrew Barber in Twitter controversy over "Let's Rape Like Drake" shirt from years ago. Cardrunners to stop providing paid content on June 1. WSOP to make change to clamp down on stalling, but will it matter? MGM National Harbor having service issues due to hiring from "local community"? khalwat co-hosts.
Interview with Mike Noori, the "Eat $1000 at McDonalds in 36 Hours Bet" guy. Interview with Tam Nguyen, an affiliate of the controversial multi-level marketing poker site JaoPoker. Ignition seems to be losing action after seating procedure change. PKR poker room closes. Andrew Barber in Twitter controversy over "Let's Rape Like Drake" shirt from years ago. Cardrunners to stop providing paid content on June 1. WSOP to make change to clamp down on stalling, but will it matter? MGM National Harbor having service issues due to hiring from "local community"? khalwat co-hosts.
BANG! @southernvangard #radio Ep 111! Alrighty folks, spring has sprung, don’t it feel good? Let us provide the soundtrack to your spring and summer, you won’t be disappointed as we deliver that raw ish every single week. Lots of great new music this week on Ep111, and a great new interview to boot - the one and only LiKWUiD! This NYC by way of South Carolina MC, songwriter, DJ & educator does it ALL. Interview snippets are at the end of this weeks mix, the full drops on Thursday like it always does. Yep, you guessed it - it’s nothing but that #smithsonian #grade #twiceaweek // southernvangard.com // @southernvangard on #itunes #podcast #stitcherradio #soundcloud #mixcloud // #hiphop #rap #underground #DJ #mix #interview #podcasts #ATL #WORLDWIDE Recorded live March 26, 2017 @ Dirty Blanket Studios, Marietta, GA southernvangard.com @southernvangard on #itunes #podcast #stitcherradio #soundcloud #mixcloud twitter/IG: @jondoeatl @southernvangard @cappuccinomeeks Inst. beds prod. Onra "The Turn Up" - Madlib, MED and Blu feat. Oh No "Natural Addicts" - Kaimbr "Tyson" - Al Divino (prod. Jao x Jalal Salaam) "Heru's Garden" - Methuzulah feat. Casual & Q "The Cypher of Agartha" - Copywrite & Planet Asia feat. Canibus "Nothing - Raekwon "The Easiest" - Don Will "Roc On" - Kaimbr feat. Grap Luva) "Cashmere Dice" - Da Villins x Skizz "Rick" - Benny "IllFayted" - LiKWUiD & 2 Hungry Bros. "Hold That (Faybels)" - LiKWUiD & 2 Hungry Bros. feat. P.SO & Donwill "Faythful" - LiKWUiD & 2 Hungry Bros. "Moo Goo Gai Pan" - P.SP & 2 Hungry Bros. feat. K. Gaines & LiKWUiD) "Fayce Off" - LiKWUiD & 2 Hungry Bros. Interview Snippets - LiKWUiD
Eric Flint and David Carrico discuss The Span of Empire, a new entry in the Jao Empire science fiction series that Flint began with the late K.D. Wentworth, in part two of a two-part interview. Plus part eighteen of the complete audiobook serialization of David Drake's The Sea Without a Shore.
Eric Flint and David Carrico discuss The Span of Empire, a new entry in the Jao Empire science fiction series that Flint began with the late K.D. Wentworth. Plus part seventeen of the complete audiobook serialization of David Drake's The Sea Without a Shore.
bhajan: khud to bahar hi khade raheClick here to listen to the bhajan tune - Shri Jagannath Prasad Ji Shrivastavavoice - Sau. Krishna Kumari ShrivastavaIntroduction by Justice Shiv Dayal Ji ShrivastavaThe last few lines of the bhajan are in the voice of Sau. Sunita Shrivastava .महाभारत का एक प्रसंग है, एक दिन दुर्योधन ने भीष्म पितामह को बहुत बुरा-भला कहा . उन्होंने आवेश में आकर प्रतिज्ञा की कि कल पाँचो पाण्डवों को मार दूँगा. उसके बाद क्या होता है , ये बहूरानी से सुनिए गीत :खुद तो बाहर ही खड़े रहे, भीतर भेजा पांचाली को;यतिवर बाबा के चरणों में, जाकर अपना मस्तक रख दो ।अर्धरात्रि की बेला में, भीषम की लगी समाधी थी;मन प्रभु चरणों में लगा हुआ, उस जगह न कोई व्याधा थी ।कृष्णा ने जाकर सिर रक्खा, चरणों पर भीष्म पितामह के;चरणों पर कौन झुका, देखूँ, बाबा भीषम एकदम चौंके ।देखा एक सधवा नारी है, चरणों पर शीश झुकाती है;उसके तन की रंगी साड़ी, सधवापन को दर्शाती है ।आशीर्वाद मुख से निकला, सौभाग्यवती भव हो बेटी;तेरे हाथों की मेहंदी का न रंग कभी छूटे बेटी ।सौभाग्य तुम्हारा अचल रहे, सिन्दूर से मांग न खाली हो;वर देता हूँ तुझको बेटी, तू वीर कुमारों वाली हो ।सुनकर कृष्णा ने तुरत कहा, बाबा ये क्या बतलाते हो;कल और आज कुछ और कहा, तुम सत्यव्रती कहलाते हो ।मेहंदी का रंग तो रहने दो, साड़ी का रंग उड़ाओ ना;सिन्दूर जो मेरी मांग का है, बाणों से उसे छुड़ाओ ना ।मेरे पाँचों पतियों में से, यदि एक भी मारा जायेगा;आशीर्वाद तेरा बाबा, क्या झूठा नहीं कहायेगा ।तब आया होश पितामह को, हाथों से माला छूट गई;मन प्रभु चरणों में लगा हुआ, चितचोर समाधी टूट गई ।बोले बेटी इन प्रश्नों का उत्तर पीछे दे पाउंगा;तेरे सुहाग का निर्णय भी मैं पीछे ही कर पाउंगा ।एक बात खटकती है मन में, हैरान है जिसने कर डाला;बतला बेटी, वह कहाँ छिपा, इस जगह तुझे लाने वाला ।बेटी तूने मेरे कुल को, इतना पवित्र कर डाला है;पहरा देता होगा तेरा, जो विश्व रचाने वाला है ।बूढ़ा होने को आया है, पर अब भी गई नहीं चोरी;नित नई नीतियाँ चलता है, तुमसे चोरी, मुझसे चोरी ।बाहर आकर के जो देखा, ड्योढ़ी का दृश्य निराला था;पीताम्बर का घूंघट डाले, वो खड़ा बांसुरी वाला था ।चरणों से जाकर लिपट गये, छलिया छलने को आया है;भक्तों की रक्षा करने को, दासी का वेष बनाया है ।* कहते हैं द्रौपदी का जूता था, पीताम्बर के कोने में;उर में करुणा का भार लिये थे लगे पितामह रोने में । हे द्रुपद सुता, मेरी बेटी, अब जाओ विजय तुम्हारी है;पतियों का बाल न बाँका हो, जब रक्षक कृष्ण मुरारी हैं ।जब रक्षक कृष्ण मुरारी हैं, भव भय भंजन भय हारी हैं;जब रक्षक कृष्ण मुरारी हैं, भव भय भंजन भय हारी हैं ।_________________________________khud to bAhar hI kha.De rahe, bhItar bhejA pAMchAlI ko;yativar bAbA ke charNoM meM, jAkar apnA mastak rakh do |ardharAtri kI belA meM, bhISham kI lagI samAdhI thI;man prabhu charNoM meM lagA huA, us jagah na koI vyAdhA thI |kR^iShNA ne jAkar sir rakkhA, charNoM par bhIShm pitAmah ke;charNoM par kaun jhukA, dekhU.N, bAbA bhISham ekdam chauMke |dekhA ek sadhvA nArI hai, charNoM par shIsh jhukAtI hai;uske tan kI raMgI sA.DI, sadhavApan ko darshAtI hai |AshIrvAd mukh se niklA, saubhAgyavtI bhav ho beTI;tere hAthoM kI mehaMdI kA na raMg kabhI ChUTe beTI |saubhAgy tumhArA achal rahe, sindUr se mAMg na khAlI ho;var detA hU.N tujhko beTI, tU vIr kumAroM vAlI ho |sunkar kR^iShNA ne turat kahA, bAbA ye kyA batlAte ho;kal aur Aj kuCh aur kahA, tum satyavratI kahlAte ho |mehaMdI kA raMg to rahne do, sA.DI kA raMg u.DAo nA;sindUr jo merI mAMg kA hai, bANoM se use Chu.DAo nA |mere pA.NchoM patiyoM meM se, yadi ek bhI mArA jAyegA;AshIrvAd terA bAbA, kyA jhUThA nahIM kahAyegA |tab AyA hosh pitAmah ko, hAthoM se mAlA ChUT gaI;man prabhu charNoM meM lagA huA, chitchor samAdhI TUT gaI |bole beTI in prashnoM kA uttar pIChe de pAuMgA;tere suhAg kA nirNay bhI maiM pIChe hI kar pAuMgA |ek bAt khaTaktI hai man meM, hairAn hai jisne kar DAlA;batlA beTI, vah kahA.N ChipA, is jagah tujhe lAne vAlA |beTI tUne mere kul ko, itnA pavitr kar DAlA hai;pahrA detA hogA terA, jo vishv rachAne vAlA hai |bU.DhA hone ko AyA hai, par ab bhI gaI nahIM chorI;nit naI nItiyA.N chaltA hai, tumse chorI, mujhse chorI |bAhar Akar ke jo dekhA, Dyo.DhI kA dR^ishy nirAlA thA;pItAmbar kA ghUMghaT DAle, vo kha.DA bAMsurI vAlA thA |charNoM se jAkar lipaT gaye, ChaliyA Chalne ko AyA hai;bhaktoM kI rakShA karne ko, dAsI kA veSh banAyA hai |*kahte haiM draupdI kA jUtA thA, pItAmbar ke kone meM;ur meM karuNA kA bhAr liye the lage pitAmah rone meM | he drupad sutA, merI beTI, ab jAo vijay tumhArI hai;patiyoM kA bAl na bA.NkA ho, jab rakShak kR^iShN murArI haiM |jab rakShak kR^iShN murArI haiM, bhav bhay bhaMjan bhay hArI haiM;jab rakShak kR^iShN murArI haiM, bhav bhay bhaMjan bhay hArI haiM |___________________________________________This bhajan was the first in our series 'Bhajan on Demand' initiated by requests from dear Jyoti - Sau. Dr. Jyotsna Nigam. Efforts by various family members have made this possible.Thanks to Sau. Dr. Krishna Shrivastav for the audio files, Shri Atul Shrivastava for the transcribed lyrics. The audio has been converted from old cassettes and two versions have been edited and spliced together to complete the song.Atul Dada writes: "This bhajan/ poem appeared many many years back in one of the volumes (अंक) of "कल्याण" पत्रिका. On demand of Tauji, Babu had composed its dhun. We sing it in the same dhun today. Just close your eyes while singing this bhajan and we will get परमानन्द. This is my experience, by God's Grace."
So young but so successful!l Jerry Jao will help our up and coming entrepreneur listeners find their path in the business world! Jerry Jao, CEO and co-founder of Retention Science, a retention-marketing business. Jao has co-founded two other ecommerce marketing companies, including incentiBox, a social media referral platform. Jao worked as an analyst with Morgan Sttog, where he advised Fortune 500 companies on product pricing strategies. Most recently, Jao worked as an adviser to the CFO of Clear Channel, the radio and communications company, working on digital sales initiatives, and iHeartRadio. Jao has a B.S. in Business Administration from U.C. Berkeley.While having difficulty getting a table at a local pool hall with one of his friends, David Houston decided he should open a pool hall. In 1989, David opened Q's Billiard Club that is still in its current location today. In 1999, long-time Los Angeles eatery Barney's Beanery came on the market. David jumped at the chance to purchase the restaurant-bar hybrid and has gone on to expand the brand by opening locations in Santa Monica, Pasadena, Burbank and Westwood. Barney's Beanery employs a staff of about 400 that includes a managerial staff including Human Resources and Regional Managers. Today our listeners get to learn how to transition from one business to another, how to make it smooth, and keep it running like a well oiled machine!
While having difficulty getting a table at a local pool hall with one of his friends, David Houston decided he should open a pool hall. In 1989, David opened Q's Billiard Club that is still in its current location today. In 1999, long-time Los Angeles eatery Barney's Beanery came on the market. David jumped at the chance to purchase the restaurant-bar hybrid and has gone on to expand the brand by opening locations in Santa Monica, Pasadena, Burbank and Westwood. Barney's Beanery employs a staff of about 400 that includes a managerial staff including Human Resources and Regional Managers. Today our listeners get to learn how to transition from one business to another, how to make it smooth, and keep it running like a well oiled machine!So young but so successful!l Jerry will help our up and coming entrepreneur listeners find their path in the business world! Jerry Jao, CEO and co-founder of Retention Science, a retention-marketing business. Jao has co-founded two other ecommerce marketing companies, including incentiBox, a social media referral platform. Jao worked as an analyst with Morgan Stanley and as an engagement manager for BearingPoint Management Consulting, where he advised Fortune 500 companies on product pricing strategies. Most recently, Jao worked as an adviser to the CFO of Clear Channel, the radio and communications company, working on digital sales initiatives, and iHeartRadio. Jao has a B.S. in Business Administration from U.C. Berkeley.
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