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BestPodcastintheMetaverse.com Canary Cry News Talk #806 - 01.13.2024 - Recorded Live to 1s and 0s BABY LUCIFER | LA 2.0, Fire Drama, Zuck Plan For Repopulation, X-Class Solar Max Deconstructing Corporate Mainstream Media News from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! AOD4: https://x.com/FaceLikeTheSun/status/1839045851488071927 TJT Youtube (backup) Channel: https://www.youtube.com/@TheJoyspiracyTheory The Show Operates on the Value 4 Value Model: http://CanaryCry.Support Join the Supply Drop: https://CanaryCrySupplyDrop.com Submit Articles: https://CanaryCry.Report Submit Art: https://CanaryCry.Art Join the T-Shirt Council: https://CanaryCryTShirtCouncil.com Podcasting 2.0: https://PodcastIndex.org Resource: Index of MSM Ownership (Harvard.edu) Resource: Aliens Demons Doc (feat. Dr. Heiser, Unseen Realm) Resource: False Christ: Will the Antichrist Claim to be the Jewish Messiah Tree of Links: https://CanaryCry.Party Join the Canary Cry Roundtable This Episode was Produced By: Executive Producers Sir Jamey Not the Lanister*** Sir LX Protocol Barron of the Berrean Protocol*** Roderick B*** Teresa A*** Felicia D*** Producers of TREASURE (CanaryCry.Support) Sir Aaron J Knight of the Cute Piggies, Sir Morv Knight, Elle O, Joseph D, Producers of TALENT JonathanF, Runksmash Emboldened by the love of the Christian's, and even this rewilded emu, the young man stands tall, and with a wild fire in his eyes announces, “The time has come for us to stop hiding and take the fight to the TechnoMother!” Producers of TIME Timestampers: Jade Bouncerson, Morgan E Clippy Team: Courtney S, JOLMS, Kristen Reminders: Clankoniphius Links: JAM SHOW NOTES/TIMESTAMPS T - 6:29 from rumble HELLO WORLD EFNO RUN DOWN 20:03 V / 13:34 P EXECS BEAST SYSTEM/666/NEPHLIM UPDATE 30:55 V / 24:26 P 'We gave our baby boy demonic name and we're not changing it despite dark hospital coincidences' (MSN/Mirror US) FIRE 39:55 V / 33:26 P Headline: SoCal Wildfires Lead to Staggering $275 Billion Loss Estimate (Newsweek) Clip: Donations for fire victims pour in at Santa Anita Park (KTLA5) Clip: Sheriff references depopulation (X) Clip: Newsom Marshall Plan LA 2.0 (X) → LA 2028 Clip: Three LA fires started at the same time Newsom Science/Elon Clip: Newsom talking to Hawaii about Land Use Concerns, “speculators” buying property (Fox) → Newsom accuses Musk of encouraging looting in LA fires disinformation spat (Guardian) Clip: Fox reporting from fire, sneaky Native Ad for Starlink (Fox/X) Biblical? → Two churches burned down by the fires, judgment or op? (X) UK 1:50:28 V / 1:43:59 P Is influencer Andrew Tate really running for Prime Minister of the United Kingdom? The trajectory of his party BRUV (Hindustan Times) → Elon tweets MEGA, Make Europe Great Again (X) → Trump's Lawyer Drools Over Accused Sex Trafficker and Rapist Andrew Tate (Daily Beast) ZUCKERBERG 1:50:58 V / 1:44:29 P Zuckerberg calls for "repopulation" of "cultural elite class" (Axios) MIGHT AS WELL BE WALKING ON THE SUN 2:02:14 V / 1:55:45 P Massive Solar Hole (space) PRODUCERS/TALENT 2:04:40 V / 1:58:11 P CALL IN 2:18:17 V / 2:11:48 P PRODUCERS/TALENT TIME/END 3:04:59 V / 2:28:30 P 3:18:43 V / 3:12:14 P
At TC2 we continue to see IT outsourcing as an important and growing space for enterprise customers. Recent engagements confirm the shift away from "factory" style managed services toward dedicated staffing models as well as the evolution of IT tooling approaches and the rise of the experience level agreement (XLA). In this 11-minute podcast, TC2 Managing Director Ben Fox and Senior Consultant Bryan Carriker join Tony Mangino to discuss current trends in IT outsourcing deals and the role of XLAs that measure end-user satisfaction and overall experience rather than just technical metrics. If you would like to learn more about our experience in this space, please visit our Strategic Sourcing and Technology Consulting & Strategy Development webpages. Follow us on LinkedIn: TC2 & LB3
Aujourd'hui, j'ai le bonheur d'accueillir sur le podcast Marie-Ève Dubé afin de discuter pour une toute première fois d'un sujet qui peut paraître plus lourd; la souffrance. Toutefois, sachez que l'épisode est rempli de légèreté, d'outils et de références pertinentes pour vous accompagner lors d'épreuves ou du défi. Marie-Ève est une passionnée de l'humain et du développement personnel, avec un bagage de plus de 20 ans en grandes entreprises du milieu financier, elle accompagne aujourd'hui les professionnels et les organisations à utiliser leur levier le plus puissant afin d'augmenter leur niveau d'efficacité et de performance: un leadership efficace et conscient.Dans cet épisode, nous abordons : Son parcours de gestionnaire en institution financière à coach L'élément déclencheur qui a tout changé pour elle L'importance de se sentir sur son X La grande beauté de sa définition de la spiritualité Remettre en perspective le « Pourquoi moi ? »Comment tirer des apprentissages dans la souffranceSon grand saut et les étapes par lesquelles elle est passée Les 4 volets de la souffranceDe quelle façon pouvons-nous accepter la souffranceLe cadeau de s'offrir un accompagnement lorsque la vie est plus difficile Qu'est-ce que le système d'exploitation interneOù trouver Marie-Ève LinkedIn: www.linkedin.com/in/marie-ève-dubé-2839a119Pour prendre rendez-vous : https://calendly.com/marieve-dubeLes références du podcast Deux petits pas sur le sable mouillé - Anne-Dauphine Julliand Cerveau et méditation : dialogue entre le bouddhisme et les neurosciences -Matthieu Ricard et Wolf SingerMaîtriser l'art du leadership – Robert J. Anderson et William A. Adams (jeux intérieurs et jeux extérieurs et le SEI)
xLa conferencia sobre Ucrania se ha saldado con un mensaje claro: la integridad territorial debe sentar y servir la base de cualquier acuerdo de paz con Rusia. 80 países se han unido a esta petición. El comunicado conjunto coronó una conferencia de dos días en el centro de Suiza, una cumbre marcada por la ausencia de Rusia, que no fue invitada. Alrededor de 100 delegaciones, en su mayoría países occidentales pero también algunas naciones en desarrollo clave, estuvieron presentes en la conferencia, y los expertos analizan cómo podrían alinearse. India, Arabia Saudí, Sudáfrica y los Emiratos Árabes Unidos, que estuvieron representados por ministros de Relaciones Exteriores u otros delegados, se han contado entre los que no han firmado el documento final, que se centró en cuestiones de seguridad nuclear, seguridad alimentaria e intercambio de prisioneros.El presidente del Banco de la Reserva Federal de Minneapolis, Neel Kashkari, cree que el banco central está en una buena posición para tomarse su tiempo, analizar los datos de precios, los de la economía y el mercado laboral, antes de comenzar a recortar las tasas de interés. En declaraciones a la CBS ha subrayado la necesidad de comprobar que la inflación está en camino de regresar al 2%. Kashkari cre que si este año solo hay un recorte de tipos, probablemente tendrá lugar a hacia finales de año. Declaraciones que llegan después de que la semana pasada, las autoridades de la Fed redujeron sus proyecciones de recortes de tasas este año a uno, desde tres estimados en marzo. #noticiasdelamañana #noticias #ukrainewar #zelensky #paz #guerra #rusia #europa #putin #vonderleyen #fed #reservadereal #economia #mercados #negociostv Si quieres entrar en la Academia de Negocios TV, este es el enlace: https://www.youtube.com/channel/UCwd8Byi93KbnsYmCcKLExvQ/join Síguenos en directo ➡️ https://bit.ly/2Ts9V3pSuscríbete a nuestro canal: https://bit.ly/3jsMzp2Suscríbete a nuestro segundo canal, másnegocios: https://n9.cl/4dca4Visita Negocios TV https://bit.ly/2Ts9V3pMás vídeos de Negocios TV: https://youtube.com/@NegociosTVSíguenos en Telegram: https://t.me/negociostvSíguenos en Instagram: https://bit.ly/3oytWndTwitter: https://bit.ly/3jz6LptFacebook: https://bit.ly/3e3kIuy
Send Everyday AI and Jordan a text messageApple's trying real hard to make 'Apple Intelligence' more important than actual Artificial Intelligence. Why? Let's be honest - Apple got some things right when it comes to AI. But it probably got more things wrong. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Apple's AIRelated Episodes: Ep 286: Apple's AI – Too little, too late?EP 274: 7 things you need to know about GPT-4o and what OpenAI isn't telling the truth aboutUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Apple Intelligence and Its Offerings2. New and Improved Siri3. ChatGPT Integration with Apple's AI4. Criticisms and Disappointments with Apple's AI5. Predictions and Speculations with Apple AITimestamps:01:40 Daily AI news05:01 Apple rebrands AI as Apple Intelligence07:36 Apple's track record suggests future success.11:47 Apple's 3 billion parameter model is small.13:50 App turns sketches into images, offers cleanup tools.19:07 Talking less to devices, using on-screen awareness.22:35 Market reacts to Apple's business strategy change.25:42 OpenAI releases base model, with added features.26:49 Edge AI uses personal data, then private cloud.31:14 AI helps prioritize important notifications over others.36:23 AI use for internet, productivity, missed opportunities.37:21 Apple Intelligence may just be a wrapper.40:32 Siri's missing temperature and selective improvement criticism.44:43 Skeptical about Apple's new AI assistant.47:03 Siri suggests using ChatGPT for some tasks.52:28 NVIDIA important, Apple may decline in rank.Keywords:Apple criticism, lack of innovation, AI announcements, stock price, Siri capabilities, natural language processing, Apple Intelligence features, reliance on OpenAI, integration with ChatGPT, ChatGPT Plus, Apple AI model, Siri improvements, on-screen awareness, personal context, privacy and data security, GPT 4 model, WWDC, Apple Intelligence, Meta's data privacy concerns, Microsoft recall feature, Elon Musk, semantic media, on-device AI, cloud computing, image model and generation, actions, password app, tiers of AI models, JAX and XLA, Genmoji. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/
Un nuevo artefacto que usted se coloca como una prenda en la ropa, puede grabar todo lo que usted dice transcribirlo, resumirlo y analizarlo. Le podría costar un dólar a hacer un post en X La compañía de medios de Donald Trump planea hacer un canal de streaming
Our next 2 big events are AI UX and the World's Fair. Join and apply to speak/sponsor!Due to timing issues we didn't have an interview episode to share with you this week, but not to worry, we have more than enough “weekend special” content in the backlog for you to get your Latent Space fix, whether you like thinking about the big picture, or learning more about the pod behind the scenes, or talking Groq and GPUs, or AI Leadership, or Personal AI. Enjoy!AI BreakdownThe indefatigable NLW had us back on his show for an update on the Four Wars, covering Sora, Suno, and the reshaped GPT-4 Class Landscape:and a longer segment on AI Engineering trends covering the future LLM landscape (Llama 3, GPT-5, Gemini 2, Claude 4), Open Source Models (Mistral, Grok), Apple and Meta's AI strategy, new chips (Groq, MatX) and the general movement from baby AGIs to vertical Agents:Thursday Nights in AIWe're also including swyx's interview with Josh Albrecht and Ali Rohde to reintroduce swyx and Latent Space to a general audience, and engage in some spicy Q&A:Dylan Patel on GroqWe hosted a private event with Dylan Patel of SemiAnalysis (our last pod here):Not all of it could be released so we just talked about our Groq estimates:Milind Naphade - Capital OneIn relation to conversations at NeurIPS and Nvidia GTC and upcoming at World's Fair, we also enjoyed chatting with Milind Naphade about his AI Leadership work at IBM, Cisco, Nvidia, and now leading the AI Foundations org at Capital One. We covered:* Milind's learnings from ~25 years in machine learning * His first paper citation was 24 years ago* Lessons from working with Jensen Huang for 6 years and being CTO of Metropolis * Thoughts on relevant AI research* GTC takeaways and what makes NVIDIA specialIf you'd like to work on building solutions rather than platform (as Milind put it), his Applied AI Research team at Capital One is hiring, which falls under the Capital One Tech team.Personal AI MeetupIt all started with a meme:Within days of each other, BEE, FRIEND, EmilyAI, Compass, Nox and LangFriend were all launching personal AI wearables and assistants. So we decided to put together a the world's first Personal AI meetup featuring creators and enthusiasts of wearables. The full video is live now, with full show notes within.Timestamps* [00:01:13] AI Breakdown Part 1* [00:02:20] Four Wars* [00:13:45] Sora* [00:15:12] Suno* [00:16:34] The GPT-4 Class Landscape* [00:17:03] Data War: Reddit x Google* [00:21:53] Gemini 1.5 vs Claude 3* [00:26:58] AI Breakdown Part 2* [00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4* [00:31:11] Open Source Models - Mistral, Grok* [00:34:13] Apple MM1* [00:37:33] Meta's $800b AI rebrand* [00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents* [00:47:28] Adept episode - Screen Multimodality* [00:48:54] Top Model Research from January Recap* [00:53:08] AI Wearables* [00:57:26] Groq vs Nvidia month - GPU Chip War* [01:00:31] Disagreements* [01:02:08] Summer 2024 Predictions* [01:04:18] Thursday Nights in AI - swyx* [01:33:34] Dylan Patel - Semianalysis + Latent Space Live Show* [01:34:58] GroqTranscript[00:00:00] swyx: Welcome to the Latent Space Podcast Weekend Edition. This is Charlie, your AI co host. Swyx and Alessio are off for the week, making more great content. We have exciting interviews coming up with Elicit, Chroma, Instructor, and our upcoming series on NSFW, Not Safe for Work AI. In today's episode, we're collating some of Swyx and Alessio's recent appearances, all in one place for you to find.[00:00:32] swyx: In part one, we have our first crossover pod of the year. In our listener survey, several folks asked for more thoughts from our two hosts. In 2023, Swyx and Alessio did crossover interviews with other great podcasts like the AI Breakdown, Practical AI, Cognitive Revolution, Thursday Eye, and Chinatalk, all of which you can find in the Latentspace About page.[00:00:56] swyx: NLW of the AI Breakdown asked us back to do a special on the 4Wars framework and the AI engineer scene. We love AI Breakdown as one of the best examples Daily podcasts to keep up on AI news, so we were especially excited to be back on Watch out and take[00:01:12] NLW: care[00:01:13] AI Breakdown Part 1[00:01:13] NLW: today on the AI breakdown. Part one of my conversation with Alessio and Swix from Latent Space.[00:01:19] NLW: All right, fellas, welcome back to the AI Breakdown. How are you doing? I'm good. Very good. With the last, the last time we did this show, we were like, oh yeah, let's do check ins like monthly about all the things that are going on and then. Of course, six months later, and, you know, the, the, the world has changed in a thousand ways.[00:01:36] NLW: It's just, it's too busy to even, to even think about podcasting sometimes. But I, I'm super excited to, to be chatting with you again. I think there's, there's a lot to, to catch up on, just to tap in, I think in the, you know, in the beginning of 2024. And, and so, you know, we're gonna talk today about just kind of a, a, a broad sense of where things are in some of the key battles in the AI space.[00:01:55] NLW: And then the, you know, one of the big things that I, that I'm really excited to have you guys on here for us to talk about where, sort of what patterns you're seeing and what people are actually trying to build, you know, where, where developers are spending their, their time and energy and, and, and any sort of, you know, trend trends there, but maybe let's start I guess by checking in on a framework that you guys actually introduced, which I've loved and I've cribbed a couple of times now, which is this sort of four wars of the, of the AI stack.[00:02:20] Four Wars[00:02:20] NLW: Because first, since I have you here, I'd love, I'd love to hear sort of like where that started gelling. And then and then maybe we can get into, I think a couple of them that are you know, particularly interesting, you know, in the, in light of[00:02:30] swyx: some recent news. Yeah, so maybe I'll take this one. So the four wars is a framework that I came up around trying to recap all of 2023.[00:02:38] swyx: I tried to write sort of monthly recap pieces. And I was trying to figure out like what makes one piece of news last longer than another or more significant than another. And I think it's basically always around battlegrounds. Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.[00:03:01] swyx: And so I kind of focus on those, those areas at first. So the four wars that we cover are the data wars, the GPU rich, poor war, the multi modal war, And the RAG and Ops War. And I think you actually did a dedicated episode to that, so thanks for covering that. Yeah, yeah.[00:03:18] NLW: Not only did I do a dedicated episode, I actually used that.[00:03:22] NLW: I can't remember if I told you guys. I did give you big shoutouts. But I used it as a framework for a presentation at Intel's big AI event that they hold each year, where they have all their folks who are working on AI internally. And it totally resonated. That's amazing. Yeah, so, so, what got me thinking about it again is specifically this inflection news that we recently had, this sort of, you know, basically, I can't imagine that anyone who's listening wouldn't have thought about it, but, you know, inflection is a one of the big contenders, right?[00:03:53] NLW: I think probably most folks would have put them, you know, just a half step behind the anthropics and open AIs of the world in terms of labs, but it's a company that raised 1. 3 billion last year, less than a year ago. Reed Hoffman's a co founder Mustafa Suleyman, who's a co founder of DeepMind, you know, so it's like, this is not a a small startup, let's say, at least in terms of perception.[00:04:13] NLW: And then we get the news that basically most of the team, it appears, is heading over to Microsoft and they're bringing in a new CEO. And you know, I'm interested in, in, in kind of your take on how much that reflects, like hold aside, I guess, you know, all the other things that it might be about, how much it reflects this sort of the, the stark.[00:04:32] NLW: Brutal reality of competing in the frontier model space right now. And, you know, just the access to compute.[00:04:38] Alessio: There are a lot of things to say. So first of all, there's always somebody who's more GPU rich than you. So inflection is GPU rich by startup standard. I think about 22, 000 H100s, but obviously that pales compared to the, to Microsoft.[00:04:55] Alessio: The other thing is that this is probably good news, maybe for the startups. It's like being GPU rich, it's not enough. You know, like I think they were building something pretty interesting in, in pi of their own model of their own kind of experience. But at the end of the day, you're the interface that people consume as end users.[00:05:13] Alessio: It's really similar to a lot of the others. So and we'll tell, talk about GPT four and cloud tree and all this stuff. GPU poor, doing something. That the GPU rich are not interested in, you know we just had our AI center of excellence at Decibel and one of the AI leads at one of the big companies was like, Oh, we just saved 10 million and we use these models to do a translation, you know, and that's it.[00:05:39] Alessio: It's not, it's not a GI, it's just translation. So I think like the inflection part is maybe. A calling and a waking to a lot of startups then say, Hey, you know, trying to get as much capital as possible, try and get as many GPUs as possible. Good. But at the end of the day, it doesn't build a business, you know, and maybe what inflection I don't, I don't, again, I don't know the reasons behind the inflection choice, but if you say, I don't want to build my own company that has 1.[00:06:05] Alessio: 3 billion and I want to go do it at Microsoft, it's probably not a resources problem. It's more of strategic decisions that you're making as a company. So yeah, that was kind of my. I take on it.[00:06:15] swyx: Yeah, and I guess on my end, two things actually happened yesterday. It was a little bit quieter news, but Stability AI had some pretty major departures as well.[00:06:25] swyx: And you may not be considering it, but Stability is actually also a GPU rich company in the sense that they were the first new startup in this AI wave to brag about how many GPUs that they have. And you should join them. And you know, Imadis is definitely a GPU trader in some sense from his hedge fund days.[00:06:43] swyx: So Robin Rhombach and like the most of the Stable Diffusion 3 people left Stability yesterday as well. So yesterday was kind of like a big news day for the GPU rich companies, both Inflection and Stability having sort of wind taken out of their sails. I think, yes, it's a data point in the favor of Like, just because you have the GPUs doesn't mean you can, you automatically win.[00:07:03] swyx: And I think, you know, kind of I'll echo what Alessio says there. But in general also, like, I wonder if this is like the start of a major consolidation wave, just in terms of, you know, I think that there was a lot of funding last year and, you know, the business models have not been, you know, All of these things worked out very well.[00:07:19] swyx: Even inflection couldn't do it. And so I think maybe that's the start of a small consolidation wave. I don't think that's like a sign of AI winter. I keep looking for AI winter coming. I think this is kind of like a brief cold front. Yeah,[00:07:34] NLW: it's super interesting. So I think a bunch of A bunch of stuff here.[00:07:38] NLW: One is, I think, to both of your points, there, in some ways, there, there had already been this very clear demarcation between these two sides where, like, the GPU pores, to use the terminology, like, just weren't trying to compete on the same level, right? You know, the vast majority of people who have started something over the last year, year and a half, call it, were racing in a different direction.[00:07:59] NLW: They're trying to find some edge somewhere else. They're trying to build something different. If they're, if they're really trying to innovate, it's in different areas. And so it's really just this very small handful of companies that are in this like very, you know, it's like the coheres and jaspers of the world that like this sort of, you know, that are that are just sort of a little bit less resourced than, you know, than the other set that I think that this potentially even applies to, you know, everyone else that could clearly demarcate it into these two, two sides.[00:08:26] NLW: And there's only a small handful kind of sitting uncomfortably in the middle, perhaps. Let's, let's come back to the idea of, of the sort of AI winter or, you know, a cold front or anything like that. So this is something that I, I spent a lot of time kind of thinking about and noticing. And my perception is that The vast majority of the folks who are trying to call for sort of, you know, a trough of disillusionment or, you know, a shifting of the phase to that are people who either, A, just don't like AI for some other reason there's plenty of that, you know, people who are saying, You Look, they're doing way worse than they ever thought.[00:09:03] NLW: You know, there's a lot of sort of confirmation bias kind of thing going on. Or two, media that just needs a different narrative, right? Because they're sort of sick of, you know, telling the same story. Same thing happened last summer, when every every outlet jumped on the chat GPT at its first down month story to try to really like kind of hammer this idea that that the hype was too much.[00:09:24] NLW: Meanwhile, you have, you know, just ridiculous levels of investment from enterprises, you know, coming in. You have, you know, huge, huge volumes of, you know, individual behavior change happening. But I do think that there's nothing incoherent sort of to your point, Swyx, about that and the consolidation period.[00:09:42] NLW: Like, you know, if you look right now, for example, there are, I don't know, probably 25 or 30 credible, like, build your own chatbot. platforms that, you know, a lot of which have, you know, raised funding. There's no universe in which all of those are successful across, you know, even with a, even, even with a total addressable market of every enterprise in the world, you know, you're just inevitably going to see some amount of consolidation.[00:10:08] NLW: Same with, you know, image generators. There are, if you look at A16Z's top 50 consumer AI apps, just based on, you know, web traffic or whatever, they're still like I don't know, a half. Dozen or 10 or something, like, some ridiculous number of like, basically things like Midjourney or Dolly three. And it just seems impossible that we're gonna have that many, you know, ultimately as, as, as sort of, you know, going, going concerned.[00:10:33] NLW: So, I don't know. I, I, I think that the, there will be inevitable consolidation 'cause you know. It's, it's also what kind of like venture rounds are supposed to do. You're not, not everyone who gets a seed round is supposed to get to series A and not everyone who gets a series A is supposed to get to series B.[00:10:46] NLW: That's sort of the natural process. I think it will be tempting for a lot of people to try to infer from that something about AI not being as sort of big or as as sort of relevant as, as it was hyped up to be. But I, I kind of think that's the wrong conclusion to come to.[00:11:02] Alessio: I I would say the experimentation.[00:11:04] Alessio: Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff. If you fast forward today, A lot of people use Cursor everybody was excited about the Devin release on Twitter.[00:11:26] Alessio: There are a lot of different ways of attacking the market that are not completion of code in the IDE. And even Cursors, like they evolved beyond single line to like chat, to do multi line edits and, and all that stuff. Image generation, I would say, yeah, as a, just as from what I've seen, like maybe the product innovation has slowed down at the UX level and people are improving the models.[00:11:50] Alessio: So the race is like, how do I make better images? It's not like, how do I make the user interact with the generation process better? And that gets tough, you know? It's hard to like really differentiate yourselves. So yeah, that's kind of how I look at it. And when we think about multimodality, maybe the reason why people got so excited about Sora is like, oh, this is like a completely It's not a better image model.[00:12:13] Alessio: This is like a completely different thing, you know? And I think the creative mind It's always looking for something that impacts the viewer in a different way, you know, like they really want something different versus the developer mind. It's like, Oh, I, I just, I have this like very annoying thing I want better.[00:12:32] Alessio: I have this like very specific use cases that I want to go after. So it's just different. And that's why you see a lot more companies in image generation. But I agree with you that. If you fast forward there, there's not going to be 10 of them, you know, it's probably going to be one or[00:12:46] swyx: two. Yeah, I mean, to me, that's why I call it a war.[00:12:49] swyx: Like, individually, all these companies can make a story that kind of makes sense, but collectively, they cannot all be true. Therefore, they all, there is some kind of fight over limited resources here. Yeah, so[00:12:59] NLW: it's interesting. We wandered very naturally into sort of another one of these wars, which is the multimodality kind of idea, which is, you know, basically a question of whether it's going to be these sort of big everything models that end up winning or whether, you know, you're going to have really specific things, you know, like something, you know, Dolly 3 inside of sort of OpenAI's larger models versus, you know, a mid journey or something like that.[00:13:24] NLW: And at first, you know, I was kind of thinking like, For most of the last, call it six months or whatever, it feels pretty definitively both and in some ways, you know, and that you're, you're seeing just like great innovation on sort of the everything models, but you're also seeing lots and lots happen at sort of the level of kind of individual use cases.[00:13:45] Sora[00:13:45] NLW: But then Sora comes along and just like obliterates what I think anyone thought you know, where we were when it comes to video generation. So how are you guys thinking about this particular battle or war at the moment?[00:13:59] swyx: Yeah, this was definitely a both and story, and Sora tipped things one way for me, in terms of scale being all you need.[00:14:08] swyx: And the benefit, I think, of having multiple models being developed under one roof. I think a lot of people aren't aware that Sora was developed in a similar fashion to Dolly 3. And Dolly3 had a very interesting paper out where they talked about how they sort of bootstrapped their synthetic data based on GPT 4 vision and GPT 4.[00:14:31] swyx: And, and it was just all, like, really interesting, like, if you work on one modality, it enables you to work on other modalities, and all that is more, is, is more interesting. I think it's beneficial if it's all in the same house, whereas the individual startups who don't, who sort of carve out a single modality and work on that, definitely won't have the state of the art stuff on helping them out on synthetic data.[00:14:52] swyx: So I do think like, The balance is tilted a little bit towards the God model companies, which is challenging for the, for the, for the the sort of dedicated modality companies. But everyone's carving out different niches. You know, like we just interviewed Suno ai, the sort of music model company, and, you know, I don't see opening AI pursuing music anytime soon.[00:15:12] Suno[00:15:12] swyx: Yeah,[00:15:13] NLW: Suno's been phenomenal to play with. Suno has done that rare thing where, which I think a number of different AI product categories have done, where people who don't consider themselves particularly interested in doing the thing that the AI enables find themselves doing a lot more of that thing, right?[00:15:29] NLW: Like, it'd be one thing if Just musicians were excited about Suno and using it but what you're seeing is tons of people who just like music all of a sudden like playing around with it and finding themselves kind of down that rabbit hole, which I think is kind of like the highest compliment that you can give one of these startups at the[00:15:45] swyx: early days of it.[00:15:46] swyx: Yeah, I, you know, I, I asked them directly, you know, in the interview about whether they consider themselves mid journey for music. And he had a more sort of nuanced response there, but I think that probably the business model is going to be very similar because he's focused on the B2C element of that. So yeah, I mean, you know, just to, just to tie back to the question about, you know, You know, large multi modality companies versus small dedicated modality companies.[00:16:10] swyx: Yeah, highly recommend people to read the Sora blog posts and then read through to the Dali blog posts because they, they strongly correlated themselves with the same synthetic data bootstrapping methods as Dali. And I think once you make those connections, you're like, oh, like it, it, it is beneficial to have multiple state of the art models in house that all help each other.[00:16:28] swyx: And these, this, that's the one thing that a dedicated modality company cannot do.[00:16:34] The GPT-4 Class Landscape[00:16:34] NLW: So I, I wanna jump, I wanna kind of build off that and, and move into the sort of like updated GPT-4 class landscape. 'cause that's obviously been another big change over the last couple months. But for the sake of completeness, is there anything that's worth touching on with with sort of the quality?[00:16:46] NLW: Quality data or sort of a rag ops wars just in terms of, you know, anything that's changed, I guess, for you fundamentally in the last couple of months about where those things stand.[00:16:55] swyx: So I think we're going to talk about rag for the Gemini and Clouds discussion later. And so maybe briefly discuss the data piece.[00:17:03] Data War: Reddit x Google[00:17:03] swyx: I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company. Also, very, very interestingly, a non exclusive deal, meaning that Reddit can resell that data to someone else. And it probably does become table stakes.[00:17:23] swyx: A lot of people don't know, but a lot of the web text dataset that originally started for GPT 1, 2, and 3 was actually scraped from GitHub. from Reddit at least the sort of vote scores. And I think, I think that's a, that's a very valuable piece of information. So like, yeah, I think people are figuring out how to pay for data.[00:17:40] swyx: People are suing each other over data. This, this, this war is, you know, definitely very, very much heating up. And I don't think, I don't see it getting any less intense. I, you know, next to GPUs, data is going to be the most expensive thing in, in a model stack company. And. You know, a lot of people are resorting to synthetic versions of it, which may or may not be kosher based on how far along or how commercially blessed the, the forms of creating that synthetic data are.[00:18:11] swyx: I don't know if Alessio, you have any other interactions with like Data source companies, but that's my two cents.[00:18:17] Alessio: Yeah yeah, I actually saw Quentin Anthony from Luther. ai at GTC this week. He's also been working on this. I saw Technium. He's also been working on the data side. I think especially in open source, people are like, okay, if everybody is putting the gates up, so to speak, to the data we need to make it easier for people that don't have 50 million a year to get access to good data sets.[00:18:38] Alessio: And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now? Let me, let me put a pay here stripe link so that they can give me 50 million.[00:18:57] Alessio: But it worked for Reddit. I think the stock is up. 40 percent today after opening. So yeah, I don't know if it's all about the Google deal, but it's obviously Reddit has been one of those companies where, hey, you got all this like great community, but like, how are you going to make money? And like, they try to sell the avatars.[00:19:15] Alessio: I don't know if that it's a great business for them. The, the data part sounds as an investor, you know, the data part sounds a lot more interesting than, than consumer[00:19:25] swyx: cosmetics. Yeah, so I think, you know there's more questions around data you know, I think a lot of people are talking about the interview that Mira Murady did with the Wall Street Journal, where she, like, just basically had no, had no good answer for where they got the data for Sora.[00:19:39] swyx: I, I think this is where, you know, there's, it's in nobody's interest to be transparent about data, and it's, it's kind of sad for the state of ML and the state of AI research but it is what it is. We, we have to figure this out as a society, just like we did for music and music sharing. You know, in, in sort of the Napster to Spotify transition, and that might take us a decade.[00:19:59] swyx: Yeah, I[00:20:00] NLW: do. I, I agree. I think, I think that you're right to identify it, not just as that sort of technical problem, but as one where society has to have a debate with itself. Because I think that there's, if you rationally within it, there's Great kind of points on all side, not to be the sort of, you know, person who sits in the middle constantly, but it's why I think a lot of these legal decisions are going to be really important because, you know, the job of judges is to listen to all this stuff and try to come to things and then have other judges disagree.[00:20:24] NLW: And, you know, and have the rest of us all debate at the same time. By the way, as a total aside, I feel like the synthetic data right now is like eggs in the 80s and 90s. Like, whether they're good for you or bad for you, like, you know, we, we get one study that's like synthetic data, you know, there's model collapse.[00:20:42] NLW: And then we have like a hint that llama, you know, to the most high performance version of it, which was one they didn't release was trained on synthetic data. So maybe it's good. It's like, I just feel like every, every other week I'm seeing something sort of different about whether it's a good or bad for, for these models.[00:20:56] swyx: Yeah. The branding of this is pretty poor. I would kind of tell people to think about it like cholesterol. There's good cholesterol, bad cholesterol. And you can have, you know, good amounts of both. But at this point, it is absolutely without a doubt that most large models from here on out will all be trained as some kind of synthetic data and that is not a bad thing.[00:21:16] swyx: There are ways in which you can do it poorly. Whether it's commercial, you know, in terms of commercial sourcing or in terms of the model performance. But it's without a doubt that good synthetic data is going to help your model. And this is just a question of like where to obtain it and what kinds of synthetic data are valuable.[00:21:36] swyx: You know, if even like alpha geometry, you know, was, was a really good example from like earlier this year.[00:21:42] NLW: If you're using the cholesterol analogy, then my, then my egg thing can't be that far off. Let's talk about the sort of the state of the art and the, and the GPT 4 class landscape and how that's changed.[00:21:53] Gemini 1.5 vs Claude 3[00:21:53] NLW: Cause obviously, you know, sort of the, the two big things or a couple of the big things that have happened. Since we last talked, we're one, you know, Gemini first announcing that a model was coming and then finally it arriving, and then very soon after a sort of a different model arriving from Gemini and and Cloud three.[00:22:11] NLW: So I guess, you know, I'm not sure exactly where the right place to start with this conversation is, but, you know, maybe very broadly speaking which of these do you think have made a bigger impact? Thank you.[00:22:20] Alessio: Probably the one you can use, right? So, Cloud. Well, I'm sure Gemini is going to be great once they let me in, but so far I haven't been able to.[00:22:29] Alessio: I use, so I have this small podcaster thing that I built for our podcast, which does chapters creation, like named entity recognition, summarization, and all of that. Cloud Tree is, Better than GPT 4. Cloud2 was unusable. So I use GPT 4 for everything. And then when Opus came out, I tried them again side by side and I posted it on, on Twitter as well.[00:22:53] Alessio: Cloud is better. It's very good, you know, it's much better, it seems to me, it's much better than GPT 4 at doing writing that is more, you know, I don't know, it just got good vibes, you know, like the GPT 4 text, you can tell it's like GPT 4, you know, it's like, it always uses certain types of words and phrases and, you know, maybe it's just me because I've now done it for, you know, So, I've read like 75, 80 generations of these things next to each other.[00:23:21] Alessio: Clutter is really good. I know everybody is freaking out on twitter about it, my only experience of this is much better has been on the podcast use case. But I know that, you know, Quran from from News Research is a very big opus pro, pro opus person. So, I think that's also It's great to have people that actually care about other models.[00:23:40] Alessio: You know, I think so far to a lot of people, maybe Entropic has been the sibling in the corner, you know, it's like Cloud releases a new model and then OpenAI releases Sora and like, you know, there are like all these different things, but yeah, the new models are good. It's interesting.[00:23:55] NLW: My my perception is definitely that just, just observationally, Cloud 3 is certainly the first thing that I've seen where lots of people.[00:24:06] NLW: They're, no one's debating evals or anything like that. They're talking about the specific use cases that they have, that they used to use chat GPT for every day, you know, day in, day out, that they've now just switched over. And that has, I think, shifted a lot of the sort of like vibe and sentiment in the space too.[00:24:26] NLW: And I don't necessarily think that it's sort of a A like full you know, sort of full knock. Let's put it this way. I think it's less bad for open AI than it is good for anthropic. I think that because GPT 5 isn't there, people are not quite willing to sort of like, you know get overly critical of, of open AI, except in so far as they're wondering where GPT 5 is.[00:24:46] NLW: But I do think that it makes, Anthropic look way more credible as a, as a, as a player, as a, you know, as a credible sort of player, you know, as opposed to to, to where they were.[00:24:57] Alessio: Yeah. And I would say the benchmarks veil is probably getting lifted this year. I think last year. People were like, okay, this is better than this on this benchmark, blah, blah, blah, because maybe they did not have a lot of use cases that they did frequently.[00:25:11] Alessio: So it's hard to like compare yourself. So you, you defer to the benchmarks. I think now as we go into 2024, a lot of people have started to use these models from, you know, from very sophisticated things that they run in production to some utility that they have on their own. Now they can just run them side by side.[00:25:29] Alessio: And it's like, Hey, I don't care that like. The MMLU score of Opus is like slightly lower than GPT 4. It just works for me, you know, and I think that's the same way that traditional software has been used by people, right? Like you just strive for yourself and like, which one does it work, works best for you?[00:25:48] Alessio: Like nobody looks at benchmarks outside of like sales white papers, you know? And I think it's great that we're going more in that direction. We have a episode with Adapt coming out this weekend. I'll and some of their model releases, they specifically say, We do not care about benchmarks, so we didn't put them in, you know, because we, we don't want to look good on them.[00:26:06] Alessio: We just want the product to work. And I think more and more people will, will[00:26:09] swyx: go that way. Yeah. I I would say like, it does take the wind out of the sails for GPT 5, which I know where, you know, Curious about later on. I think anytime you put out a new state of the art model, you have to break through in some way.[00:26:21] swyx: And what Claude and Gemini have done is effectively take away any advantage to saying that you have a million token context window. Now everyone's just going to be like, Oh, okay. Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop[00:26:58] AI Breakdown Part 2[00:26:58] NLW: hello friends back again with part two if you haven't heard part one of this conversation i suggest you go check it out but to be honest they are kind of actually separable In this conversation, we get into a topic that I think Alessio and Swyx are very well positioned to discuss, which is what developers care about right now, what people are trying to build around.[00:27:16] NLW: I honestly think that one of the best ways to see the future in an industry like AI is to try to dig deep on what developers and entrepreneurs are attracted to build, even if it hasn't made it to the news pages yet. So consider this your preview of six months from now, and let's dive in. Let's bring it to the GPT 5 conversation.[00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4[00:27:33] NLW: I mean, so, so I think that that's a great sort of assessment of just how the stakes have been raised, you know is your, I mean, so I guess maybe, maybe I'll, I'll frame this less as a question, just sort of something that, that I, that I've been watching right now, the only thing that makes sense to me with how.[00:27:50] NLW: Fundamentally unbothered and unstressed OpenAI seems about everything is that they're sitting on something that does meet all that criteria, right? Because, I mean, even in the Lex Friedman interview that, that Altman recently did, you know, he's talking about other things coming out first. He's talking about, he's just like, he, listen, he, he's good and he could play nonchalant, you know, if he wanted to.[00:28:13] NLW: So I don't want to read too much into it, but. You know, they've had so long to work on this, like unless that we are like really meaningfully running up against some constraint, it just feels like, you know, there's going to be some massive increase, but I don't know. What do you guys think?[00:28:28] swyx: Hard to speculate.[00:28:29] swyx: You know, at this point, they're, they're pretty good at PR and they're not going to tell you anything that they don't want to. And he can tell you one thing and change their minds the next day. So it's, it's, it's really, you know, I've always said that model version numbers are just marketing exercises, like they have something and it's always improving and at some point you just cut it and decide to call it GPT 5.[00:28:50] swyx: And it's more just about defining an arbitrary level at which they're ready and it's up to them on what ready means. We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it. So it seems like there might be an intermediate release. But I did feel, coming out of the Lex Friedman interview, that GPT 5 was nowhere near.[00:29:11] swyx: And you know, it was kind of a sharp contrast to Sam talking at Davos in February, saying that, you know, it was his top priority. So I find it hard to square. And honestly, like, there's also no point Reading too much tea leaves into what any one person says about something that hasn't happened yet or has a decision that hasn't been taken yet.[00:29:31] swyx: Yeah, that's, that's my 2 cents about it. Like, calm down, let's just build .[00:29:35] Alessio: Yeah. The, the February rumor was that they were gonna work on AI agents, so I don't know, maybe they're like, yeah,[00:29:41] swyx: they had two agent two, I think two agent projects, right? One desktop agent and one sort of more general yeah, sort of GPTs like agent and then Andre left, so he was supposed to be the guy on that.[00:29:52] swyx: What did Andre see? What did he see? I don't know. What did he see?[00:29:56] Alessio: I don't know. But again, it's just like the rumors are always floating around, you know but I think like, this is, you know, we're not going to get to the end of the year without Jupyter you know, that's definitely happening. I think the biggest question is like, are Anthropic and Google.[00:30:13] Alessio: Increasing the pace, you know, like it's the, it's the cloud four coming out like in 12 months, like nine months. What's the, what's the deal? Same with Gemini. They went from like one to 1. 5 in like five days or something. So when's Gemini 2 coming out, you know, is that going to be soon? I don't know.[00:30:31] Alessio: There, there are a lot of, speculations, but the good thing is that now you can see a world in which OpenAI doesn't rule everything. You know, so that, that's the best, that's the best news that everybody got, I would say.[00:30:43] swyx: Yeah, and Mistral Large also dropped in the last month. And, you know, not as, not quite GPT 4 class, but very good from a new startup.[00:30:52] swyx: So yeah, we, we have now slowly changed in landscape, you know. In my January recap, I was complaining that nothing's changed in the landscape for a long time. But now we do exist in a world, sort of a multipolar world where Cloud and Gemini are legitimate challengers to GPT 4 and hopefully more will emerge as well hopefully from meta.[00:31:11] Open Source Models - Mistral, Grok[00:31:11] NLW: So speak, let's actually talk about sort of the open source side of this for a minute. So Mistral Large, notable because it's, it's not available open source in the same way that other things are, although I think my perception is that the community has largely given them Like the community largely recognizes that they want them to keep building open source stuff and they have to find some way to fund themselves that they're going to do that.[00:31:27] NLW: And so they kind of understand that there's like, they got to figure out how to eat, but we've got, so, you know, there there's Mistral, there's, I guess, Grok now, which is, you know, Grok one is from, from October is, is open[00:31:38] swyx: sourced at, yeah. Yeah, sorry, I thought you thought you meant Grok the chip company.[00:31:41] swyx: No, no, no, yeah, you mean Twitter Grok.[00:31:43] NLW: Although Grok the chip company, I think is even more interesting in some ways, but and then there's the, you know, obviously Llama3 is the one that sort of everyone's wondering about too. And, you know, my, my sense of that, the little bit that, you know, Zuckerberg was talking about Llama 3 earlier this year, suggested that, at least from an ambition standpoint, he was not thinking about how do I make sure that, you know, meta content, you know, keeps, keeps the open source thrown, you know, vis a vis Mistral.[00:32:09] NLW: He was thinking about how you go after, you know, how, how he, you know, releases a thing that's, you know, every bit as good as whatever OpenAI is on at that point.[00:32:16] Alessio: Yeah. From what I heard in the hallways at, at GDC, Llama 3, the, the biggest model will be, you 260 to 300 billion parameters, so that that's quite large.[00:32:26] Alessio: That's not an open source model. You know, you cannot give people a 300 billion parameters model and ask them to run it. You know, it's very compute intensive. So I think it is, it[00:32:35] swyx: can be open source. It's just, it's going to be difficult to run, but that's a separate question.[00:32:39] Alessio: It's more like, as you think about what they're doing it for, you know, it's not like empowering the person running.[00:32:45] Alessio: llama. On, on their laptop, it's like, oh, you can actually now use this to go after open AI, to go after Anthropic, to go after some of these companies at like the middle complexity level, so to speak. Yeah. So obviously, you know, we estimate Gentala on the podcast, they're doing a lot here, they're making PyTorch better.[00:33:03] Alessio: You know, they want to, that's kind of like maybe a little bit of a shorted. Adam Bedia, in a way, trying to get some of the CUDA dominance out of it. Yeah, no, it's great. The, I love the duck destroying a lot of monopolies arc. You know, it's, it's been very entertaining. Let's bridge[00:33:18] NLW: into the sort of big tech side of this, because this is obviously like, so I think actually when I did my episode, this was one of the I added this as one of as an additional war that, that's something that I'm paying attention to.[00:33:29] NLW: So we've got Microsoft's moves with inflection, which I think pretend, potentially are being read as A shift vis a vis the relationship with OpenAI, which also the sort of Mistral large relationship seems to reinforce as well. We have Apple potentially entering the race, finally, you know, giving up Project Titan and and, and kind of trying to spend more effort on this.[00:33:50] NLW: Although, Counterpoint, we also have them talking about it, or there being reports of a deal with Google, which, you know, is interesting to sort of see what their strategy there is. And then, you know, Meta's been largely quiet. We kind of just talked about the main piece, but, you know, there's, and then there's spoilers like Elon.[00:34:07] NLW: I mean, you know, what, what of those things has sort of been most interesting to you guys as you think about what's going to shake out for the rest of this[00:34:13] Apple MM1[00:34:13] swyx: year? I'll take a crack. So the reason we don't have a fifth war for the Big Tech Wars is that's one of those things where I just feel like we don't cover differently from other media channels, I guess.[00:34:26] swyx: Sure, yeah. In our anti interestness, we actually say, like, we try not to cover the Big Tech Game of Thrones, or it's proxied through Twitter. You know, all the other four wars anyway, so there's just a lot of overlap. Yeah, I think absolutely, personally, the most interesting one is Apple entering the race.[00:34:41] swyx: They actually released, they announced their first large language model that they trained themselves. It's like a 30 billion multimodal model. People weren't that impressed, but it was like the first time that Apple has kind of showcased that, yeah, we're training large models in house as well. Of course, like, they might be doing this deal with Google.[00:34:57] swyx: I don't know. It sounds very sort of rumor y to me. And it's probably, if it's on device, it's going to be a smaller model. So something like a Jemma. It's going to be smarter autocomplete. I don't know what to say. I'm still here dealing with, like, Siri, which hasn't, probably hasn't been updated since God knows when it was introduced.[00:35:16] swyx: It's horrible. I, you know, it, it, it makes me so angry. So I, I, one, as an Apple customer and user, I, I'm just hoping for better AI on Apple itself. But two, they are the gold standard when it comes to local devices, personal compute and, and trust, like you, you trust them with your data. And. I think that's what a lot of people are looking for in AI, that they have, they love the benefits of AI, they don't love the downsides, which is that you have to send all your data to some cloud somewhere.[00:35:45] swyx: And some of this data that we're going to feed AI is just the most personal data there is. So Apple being like one of the most trusted personal data companies, I think it's very important that they enter the AI race, and I hope to see more out of them.[00:35:58] Alessio: To me, the, the biggest question with the Google deal is like, who's paying who?[00:36:03] Alessio: Because for the browsers, Google pays Apple like 18, 20 billion every year to be the default browser. Is Google going to pay you to have Gemini or is Apple paying Google to have Gemini? I think that's, that's like what I'm most interested to figure out because with the browsers, it's like, it's the entry point to the thing.[00:36:21] Alessio: So it's really valuable to be the default. That's why Google pays. But I wonder if like the perception in AI is going to be like, Hey. You just have to have a good local model on my phone to be worth me purchasing your device. And that was, that's kind of drive Apple to be the one buying the model. But then, like Shawn said, they're doing the MM1 themselves.[00:36:40] Alessio: So are they saying we do models, but they're not as good as the Google ones? I don't know. The whole thing is, it's really confusing, but. It makes for great meme material on on Twitter.[00:36:51] swyx: Yeah, I mean, I think, like, they are possibly more than OpenAI and Microsoft and Amazon. They are the most full stack company there is in computing, and so, like, they own the chips, man.[00:37:05] swyx: Like, they manufacture everything so if, if, if there was a company that could do that. You know, seriously challenge the other AI players. It would be Apple. And it's, I don't think it's as hard as self driving. So like maybe they've, they've just been investing in the wrong thing this whole time. We'll see.[00:37:21] swyx: Wall Street certainly thinks[00:37:22] NLW: so. Wall Street loved that move, man. There's a big, a big sigh of relief. Well, let's, let's move away from, from sort of the big stuff. I mean, the, I think to both of your points, it's going to.[00:37:33] Meta's $800b AI rebrand[00:37:33] NLW: Can I, can[00:37:34] swyx: I, can I, can I jump on factoid about this, this Wall Street thing? I went and looked at when Meta went from being a VR company to an AI company.[00:37:44] swyx: And I think the stock I'm trying to look up the details now. The stock has gone up 187% since Lamo one. Yeah. Which is $830 billion in market value created in the past year. . Yeah. Yeah.[00:37:57] NLW: It's, it's, it's like, remember if you guys haven't Yeah. If you haven't seen the chart, it's actually like remarkable.[00:38:02] NLW: If you draw a little[00:38:03] swyx: arrow on it, it's like, no, we're an AI company now and forget the VR thing.[00:38:10] NLW: It's it, it is an interesting, no, it's, I, I think, alessio, you called it sort of like Zuck's Disruptor Arc or whatever. He, he really does. He is in the midst of a, of a total, you know, I don't know if it's a redemption arc or it's just, it's something different where, you know, he, he's sort of the spoiler.[00:38:25] NLW: Like people loved him just freestyle talking about why he thought they had a better headset than Apple. But even if they didn't agree, they just loved it. He was going direct to camera and talking about it for, you know, five minutes or whatever. So that, that's a fascinating shift that I don't think anyone had on their bingo card, you know, whatever, two years ago.[00:38:41] NLW: Yeah. Yeah,[00:38:42] swyx: we still[00:38:43] Alessio: didn't see and fight Elon though, so[00:38:45] swyx: that's what I'm really looking forward to. I mean, hey, don't, don't, don't write it off, you know, maybe just these things take a while to happen. But we need to see and fight in the Coliseum. No, I think you know, in terms of like self management, life leadership, I think he has, there's a lot of lessons to learn from him.[00:38:59] swyx: You know he might, you know, you might kind of quibble with, like, the social impact of Facebook, but just himself as a in terms of personal growth and, and, you know, Per perseverance through like a lot of change and you know, everyone throwing stuff his way. I think there's a lot to say about like, to learn from, from Zuck, which is crazy 'cause he's my age.[00:39:18] swyx: Yeah. Right.[00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents[00:39:20] NLW: Awesome. Well, so, so one of the big things that I think you guys have, you know, distinct and, and unique insight into being where you are and what you work on is. You know, what developers are getting really excited about right now. And by that, I mean, on the one hand, certainly, you know, like startups who are actually kind of formalized and formed to startups, but also, you know, just in terms of like what people are spending their nights and weekends on what they're, you know, coming to hackathons to do.[00:39:45] NLW: And, you know, I think it's a, it's a, it's, it's such a fascinating indicator for, for where things are headed. Like if you zoom back a year, right now was right when everyone was getting so, so excited about. AI agent stuff, right? Auto, GPT and baby a GI. And these things were like, if you dropped anything on YouTube about those, like instantly tens of thousands of views.[00:40:07] NLW: I know because I had like a 50,000 view video, like the second day that I was doing the show on YouTube, you know, because I was talking about auto GPT. And so anyways, you know, obviously that's sort of not totally come to fruition yet, but what are some of the trends in what you guys are seeing in terms of people's, people's interest and, and, and what people are building?[00:40:24] Alessio: I can start maybe with the agents part and then I know Shawn is doing a diffusion meetup tonight. There's a lot of, a lot of different things. The, the agent wave has been the most interesting kind of like dream to reality arc. So out of GPT, I think they went, From zero to like 125, 000 GitHub stars in six weeks, and then one year later, they have 150, 000 stars.[00:40:49] Alessio: So there's kind of been a big plateau. I mean, you might say there are just not that many people that can start it. You know, everybody already started it. But the promise of, hey, I'll just give you a goal, and you do it. I think it's like, amazing to get people's imagination going. You know, they're like, oh, wow, this This is awesome.[00:41:08] Alessio: Everybody, everybody can try this to do anything. But then as technologists, you're like, well, that's, that's just like not possible, you know, we would have like solved everything. And I think it takes a little bit to go from the promise and the hope that people show you to then try it yourself and going back to say, okay, this is not really working for me.[00:41:28] Alessio: And David Wong from Adept, you know, they in our episode, he specifically said. We don't want to do a bottom up product. You know, we don't want something that everybody can just use and try because it's really hard to get it to be reliable. So we're seeing a lot of companies doing vertical agents that are narrow for a specific domain, and they're very good at something.[00:41:49] Alessio: Mike Conover, who was at Databricks before, is also a friend of Latentspace. He's doing this new company called BrightWave doing AI agents for financial research, and that's it, you know, and they're doing very well. There are other companies doing it in security, doing it in compliance, doing it in legal.[00:42:08] Alessio: All of these things that like, people, nobody just wakes up and say, Oh, I cannot wait to go on AutoGPD and ask it to do a compliance review of my thing. You know, just not what inspires people. So I think the gap on the developer side has been the more bottom sub hacker mentality is trying to build this like very Generic agents that can do a lot of open ended tasks.[00:42:30] Alessio: And then the more business side of things is like, Hey, If I want to raise my next round, I can not just like sit around the mess, mess around with like super generic stuff. I need to find a use case that really works. And I think that that is worth for, for a lot of folks in parallel, you have a lot of companies doing evals.[00:42:47] Alessio: There are dozens of them that just want to help you measure how good your models are doing. Again, if you build evals, you need to also have a restrained surface area to actually figure out whether or not it's good, right? Because you cannot eval anything on everything under the sun. So that's another category where I've seen from the startup pitches that I've seen, there's a lot of interest in, in the enterprise.[00:43:11] Alessio: It's just like really. Fragmented because the production use cases are just coming like now, you know, there are not a lot of long established ones to, to test against. And so does it, that's kind of on the virtual agents and then the robotic side it's probably been the thing that surprised me the most at NVIDIA GTC, the amount of robots that were there that were just like robots everywhere.[00:43:33] Alessio: Like, both in the keynote and then on the show floor, you would have Boston Dynamics dogs running around. There was, like, this, like fox robot that had, like, a virtual face that, like, talked to you and, like, moved in real time. There were industrial robots. NVIDIA did a big push on their own Omniverse thing, which is, like, this Digital twin of whatever environments you're in that you can use to train the robots agents.[00:43:57] Alessio: So that kind of takes people back to the reinforcement learning days, but yeah, agents, people want them, you know, people want them. I give a talk about the, the rise of the full stack employees and kind of this future, the same way full stack engineers kind of work across the stack. In the future, every employee is going to interact with every part of the organization through agents and AI enabled tooling.[00:44:17] Alessio: This is happening. It just needs to be a lot more narrow than maybe the first approach that we took, which is just put a string in AutoGPT and pray. But yeah, there's a lot of super interesting stuff going on.[00:44:27] swyx: Yeah. Well, he Let's recover a lot of stuff there. I'll separate the robotics piece because I feel like that's so different from the software world.[00:44:34] swyx: But yeah, we do talk to a lot of engineers and you know, that this is our sort of bread and butter. And I do agree that vertical agents have worked out a lot better than the horizontal ones. I think all You know, the point I'll make here is just the reason AutoGPT and maybe AGI, you know, it's in the name, like they were promising AGI.[00:44:53] swyx: But I think people are discovering that you cannot engineer your way to AGI. It has to be done at the model level and all these engineering, prompt engineering hacks on top of it weren't really going to get us there in a meaningful way without much further, you know, improvements in the models. I would say, I'll go so far as to say, even Devin, which is, I would, I think the most advanced agent that we've ever seen, still requires a lot of engineering and still probably falls apart a lot in terms of, like, practical usage.[00:45:22] swyx: Or it's just, Way too slow and expensive for, you know, what it's, what it's promised compared to the video. So yeah, that's, that's what, that's what happened with agents from, from last year. But I, I do, I do see, like, vertical agents being very popular and, and sometimes you, like, I think the word agent might even be overused sometimes.[00:45:38] swyx: Like, people don't really care whether or not you call it an AI agent, right? Like, does it replace boring menial tasks that I do That I might hire a human to do, or that the human who is hired to do it, like, actually doesn't really want to do. And I think there's absolutely ways in sort of a vertical context that you can actually go after very routine tasks that can be scaled out to a lot of, you know, AI assistants.[00:46:01] swyx: So, so yeah, I mean, and I would, I would sort of basically plus one what let's just sit there. I think it's, it's very, very promising and I think more people should work on it, not less. Like there's not enough people. Like, we, like, this should be the, the, the main thrust of the AI engineer is to look out, look for use cases and, and go to a production with them instead of just always working on some AGI promising thing that never arrives.[00:46:21] swyx: I,[00:46:22] NLW: I, I can only add that so I've been fiercely making tutorials behind the scenes around basically everything you can imagine with AI. We've probably done, we've done about 300 tutorials over the last couple of months. And the verticalized anything, right, like this is a solution for your particular job or role, even if it's way less interesting or kind of sexy, it's like so radically more useful to people in terms of intersecting with how, like those are the ways that people are actually.[00:46:50] NLW: Adopting AI in a lot of cases is just a, a, a thing that I do over and over again. By the way, I think that's the same way that even the generalized models are getting adopted. You know, it's like, I use midjourney for lots of stuff, but the main thing I use it for is YouTube thumbnails every day. Like day in, day out, I will always do a YouTube thumbnail, you know, or two with, with Midjourney, right?[00:47:09] NLW: And it's like you can, you can start to extrapolate that across a lot of things and all of a sudden, you know, a AI doesn't. It looks revolutionary because of a million small changes rather than one sort of big dramatic change. And I think that the verticalization of agents is sort of a great example of how that's[00:47:26] swyx: going to play out too.[00:47:28] Adept episode - Screen Multimodality[00:47:28] swyx: So I'll have one caveat here, which is I think that Because multi modal models are now commonplace, like Cloud, Gemini, OpenAI, all very very easily multi modal, Apple's easily multi modal, all this stuff. There is a switch for agents for sort of general desktop browsing that I think people so much for joining us today, and we'll see you in the next video.[00:48:04] swyx: Version of the the agent where they're not specifically taking in text or anything They're just watching your screen just like someone else would and and I'm piloting it by vision And you know in the the episode with David that we'll have dropped by the time that this this airs I think I think that is the promise of adept and that is a promise of what a lot of these sort of desktop agents Are and that is the more general purpose system That could be as big as the browser, the operating system, like, people really want to build that foundational piece of software in AI.[00:48:38] swyx: And I would see, like, the potential there for desktop agents being that, that you can have sort of self driving computers. You know, don't write the horizontal piece out. I just think we took a while to get there.[00:48:48] NLW: What else are you guys seeing that's interesting to you? I'm looking at your notes and I see a ton of categories.[00:48:54] Top Model Research from January Recap[00:48:54] swyx: Yeah so I'll take the next two as like as one category, which is basically alternative architectures, right? The two main things that everyone following AI kind of knows now is, one, the diffusion architecture, and two, the let's just say the, Decoder only transformer architecture that is popularized by GPT.[00:49:12] swyx: You can read, you can look on YouTube for thousands and thousands of tutorials on each of those things. What we are talking about here is what's next, what people are researching, and what could be on the horizon that takes the place of those other two things. So first of all, we'll talk about transformer architectures and then diffusion.[00:49:25] swyx: So transformers the, the two leading candidates are effectively RWKV and the state space models the most recent one of which is Mamba, but there's others like the Stripe, ENA, and the S four H three stuff coming out of hazy research at Stanford. And all of those are non quadratic language models that scale the promise to scale a lot better than the, the traditional transformer.[00:49:47] swyx: That this might be too theoretical for most people right now, but it's, it's gonna be. It's gonna come out in weird ways, where, imagine if like, Right now the talk of the town is that Claude and Gemini have a million tokens of context and like whoa You can put in like, you know, two hours of video now, okay But like what if you put what if we could like throw in, you know, two hundred thousand hours of video?[00:50:09] swyx: Like how does that change your usage of AI? What if you could throw in the entire genetic sequence of a human and like synthesize new drugs. Like, well, how does that change things? Like, we don't know because we haven't had access to this capability being so cheap before. And that's the ultimate promise of these two models.[00:50:28] swyx: They're not there yet but we're seeing very, very good progress. RWKV and Mamba are probably the, like, the two leading examples, both of which are open source that you can try them today and and have a lot of progress there. And the, the, the main thing I'll highlight for audio e KV is that at, at the seven B level, they seem to have beat LAMA two in all benchmarks that matter at the same size for the same amount of training as an open source model.[00:50:51] swyx: So that's exciting. You know, they're there, they're seven B now. They're not at seven tb. We don't know if it'll. And then the other thing is diffusion. Diffusions and transformers are are kind of on the collision course. The original stable diffusion already used transformers in in parts of its architecture.[00:51:06] swyx: It seems that transformers are eating more and more of those layers particularly the sort of VAE layer. So that's, the Diffusion Transformer is what Sora is built on. The guy who wrote the Diffusion Transformer paper, Bill Pebbles, is, Bill Pebbles is the lead tech guy on Sora. So you'll just see a lot more Diffusion Transformer stuff going on.[00:51:25] swyx: But there's, there's more sort of experimentation with diffusion. I'm holding a meetup actually here in San Francisco that's gonna be like the state of diffusion, which I'm pretty excited about. Stability's doing a lot of good work. And if you look at the, the architecture of how they're creating Stable Diffusion 3, Hourglass Diffusion, and the inconsistency models, or SDXL Turbo.[00:51:45] swyx: All of these are, like, very, very interesting innovations on, like, the original idea of what Stable Diffusion was. So if you think that it is expensive to create or slow to create Stable Diffusion or an AI generated art, you are not up to date with the latest models. If you think it is hard to create text and images, you are not up to date with the latest models.[00:52:02] swyx: And people still are kind of far behind. The last piece of which is the wildcard I always kind of hold out, which is text diffusion. So Instead of using autogenerative or autoregressive transformers, can you use text to diffuse? So you can use diffusion models to diffuse and create entire chunks of text all at once instead of token by token.[00:52:22] swyx: And that is something that Midjourney confirmed today, because it was only rumored the past few months. But they confirmed today that they were looking into. So all those things are like very exciting new model architectures that are, Maybe something that we'll, you'll see in production two to three years from now.[00:52:37] swyx: So the couple of the trends[00:52:38] NLW: that I want to just get your takes on, because they're sort of something that, that seems like they're coming up are one sort of these, these wearable, you know, kind of passive AI experiences where they're absorbing a lot of what's going on around you and then, and then kind of bringing things back.[00:52:53] NLW: And then the, the other one that I, that I wanted to see if you guys had thoughts on were sort of this next generation of chip companies. Obviously there's a huge amount of emphasis. On on hardware and silicon and, and, and different ways of doing things, but, y
Javier Milei no deja títeres con cabeza a través de X La guerra en Ucrania entra en su tercer año Un joven fotógrafo argentino tras los pasos de Charles Darwin Sale a subasta la servilleta en la que se firmó el primer acuerdo entre Messi y el Barça Sam Mendes llevará a la gran pantalla la historia de los Beatles
Register for the ITXM Summit 2024 on January 31st: https://www.happysignals.com/itxm-summit In This Episode we talk on XLA 1.0 Contract example and recommendations, it's your first step to XLAs with your outsourcing partners. This episode is related to the XLA whitepaper published by HappySignals and Bright Horse. Summary In this episode of the IT Experience podcast, the hosts discuss the XLA contract and provide recommendations for implementing it. They explain the concept of XLA, which stands for experience data, operational data, and technical data. They recommend starting with XLA 1.0, which focuses on experience data, before moving on to XLA 2.0, which includes tech and operational data. The hosts emphasize the importance of changing the way of working and prioritizing improvement areas. They also discuss the drawbacks of using penalties and rewards based on SLAs and provide a template for an XLA 1.0 contract. The episode concludes with a promotion for the IT Experience Management Summit. Takeaways Start with XLA 1.0 and focus on experience data before moving on to XLA 2.0. Change the way of working and prioritize improvement areas. Avoid using penalties and rewards based on SLAs. Calculate XLA score over a minimum of two months. Chapters 00:00 Introduction to IT Experience podcast 00:27 Continuing the series on XLA contract 00:50 Understanding XLA and its versions 03:08 Recommendations for XLA 1.0 04:13 Agreeing on the way of working 05:17 Setting priorities for improvement 06:25 Aligning with strategic initiatives 06:53 Avoiding penalties and rewards based on SLAs 08:31 Focusing on continuous improvement 09:47 Calculating XLA score over a minimum of two months11:10Example XLA 1.0 contract template12:29Promoting IT Experience Management Summit13:33Conclusion and call to action Find the whole whitepaper here: https://www.happysignals.com/how-to-incorporate-xlas-into-outsourcing-contracts
Register for the ITXM Summit 2024 on January 31st: https://www.happysignals.com/itxm-summit In This Episode we talk on how to tackle Penalties vs. Rewards when it comes to XLA Outsourcing Contracts. This episode is related to the XLA whitepaper published by HappySignals and Bright Horse. Find the whole whitepaper here: https://www.happysignals.com/how-to-incorporate-xlas-into-outsourcing-contracts
Register for the ITXM Summit 2024 on January 31st: https://www.happysignals.com/itxm-summit In this episode, Pasi and Sami discuss bringing XLAs into Outsourcing Contracts. This episode is related to the XLA whitepaper published by HappySignals and Bright Horse. Find the whole whitepaper here: https://www.happysignals.com/how-to-incorporate-xlas-into-outsourcing-contracts HappySignals is the leading ITXM platform to help IT Leaders make better decisions, and bring cost avoidance and less frustration to end-users.
Nos adentramos en el fascinante mundo del aprendizaje automático y la innovación tecnológica, centrándonos en las últimas herramientas desarrolladas por Apple: MLX y AXLearn. Exploramos cómo estas plataformas están revolucionando el campo del Machine Learning (ML) y Deep Learning (DL), con un enfoque particular en su integración y optimización para el potente hardware de Apple Silicon. Este episodio es una inmersión profunda en el estado actual y las perspectivas futuras de la tecnología de aprendizaje automático en el ecosistema de Apple. Profundizamos en MLX, un framework de array para aprendizaje automático diseñado específicamente para el silicio de Apple, destacando sus APIs familiares, su eficiente manejo de la memoria y la capacidad de realizar cálculos de manera perezosa para optimizar la eficiencia. Luego, cambiamos nuestra atención a AXLearn, una biblioteca construida sobre JAX y XLA, que se especializa en el desarrollo de modelos de aprendizaje profundo a gran escala, abordando los retos de ingeniería de software en el aprendizaje profundo y aprovechando la capacidad de procesamiento distribuido y eficiente. Convierte en un Senior iOS Developer con el Swift Full Stack Bootcamp. Encuentra toda la información aquí: IV Swift Full Stack Bootcamp 2024. Descubre nuestro canal de Twitch en: twitch.tv/applecoding. Descubre nuestras ofertas para oyentes: - Cursos en Udemy (con código de oferta) - Apple Coding Academy - Suscríbete a Apple Coding en nuestro Patreon. - Canal de Telegram de Swift. Acceso al canal. --------------- Consigue las camisetas oficiales de Apple Coding con los logos de Swift y Apple Coding así como todo tipo de merchadising como tazas o fundas. - Tienda de merchandising de Apple Coding. --------------- Tema musical: "For the Win" de "Two Steps from Hell", compuesto por Thomas Bergensen. Usado con permisos de fair use. Escúchalo en Apple Music o Spotify.
This episode came together at ~4 hrs notice since Dylan had just landed in SF and we had to setup quickly; you might notice some small audio issues in some segments, we apologize. We're currently building our own podcast studio for 2024!
Want to help define the AI Engineer stack? Have opinions on the top tools, communities and builders? We're collaborating with friends at Amplify to launch the first State of AI Engineering survey! Please fill it out (and tell your friends)!If AI is so important, why is its software so bad?This was the motivating question for Chris Lattner as he reconnected with his product counterpart on Tensorflow, Tim Davis, and started working on a modular solution to the problem of sprawling, monolithic, fragmented platforms in AI development. They announced a $30m seed in 2022 and, following their successful double launch of Modular/Mojo
While experience level agreements (XLAs) continue to be a hot topic, IT service leaders need more practical guidance on how to include them in their outsourcing agreements. Join Sami Kallio from HappySignals and Neil Keating from Bright Horse as they share expert advice and best practices on integrating Experience Level Agreements (XLAs) into contracts between IT suppliers and customers. Hear about real customer examples and gain practical advice and valuable learnings to transform your outsourcing strategy. The webinar is hosted by John Noctor from SDI. You'll learn: - What a contracted XLA looks like - What are the contractual governance differences between XLAs and traditional metrics - What are the options for contracting XLAs alongside the recommended approach - How best to manage penalties/rewards --- To learn more about IT Experience Management (ITXM) Framework™, visit www.happysignals.com/itxm-framework-it-experience-management To learn about our Built-in XLA Management features: https://www.happysignals.com/product/xla-management Read our Practical Guide to XLAs: https://www.happysignals.com/the-practical-guide-to-experience-level-agreements-xlas
The boys get distracted as always as the Autumn Speaker circuit comes alive. The conclude with Governance at the South Coast Summit (join their workshop at Practical Microsoft 365 Baseline Governance – South Coast Summit ) Recorded live at Marijn's place, where the boys are constantly distracted by the world walking passed... Steve's memory is again letting him down as he tries to remember the name of the artist he saw a week ago because the boys have been singing “Changes' from Mr David Bowie since they suggested today's subject.So, the subject is change, and specifically, they discuss the implications of Outlook and MS Team having huge updates in the same timeframe.The Podcast looks at current changes creating problems and differences in both clients to identify scope changes. Some will be improved, but this is a new canvas for Outlook and format for MS Teams, so some features may not be available when it goes live and be added later.The Point of this podcast is to look at how to manage this change... we know change is constantly changing when considering Enterprise Apps.The boys develop some great nuggets on how a model might look based on some change metric... Change Points!!! You heard it here first...The Change model is about packages balanced against the change needs based on the change required in the application's upgrade size.Several criteria can create the model. so Steve and Marijn discuss the main ones that should be considered.Steve Changed the name of XLA to ELA's, but the basis is still the same, value is based on how users perceive and manage the change... the ultimate way to measure the success of change.Whisky eventually hits the menu, and Steve asks one of the speakers from the NY Community event a few weeks ago to find us a bottle we have been looking to taste for some time. Today we taste Metallica's Blackened whiskey, a blend from Dave Pickerell, one of the last blends he created before he passed away. One of America's greatest Master Distillers who changed Markers Mark from 175,000 bottles per year organisation to a million bottles per Distiller.This whiskey has been on Steves's list for some time so here it is, and well there is a difference of opinion... This batch of Whisky has its own playlist that is played to the Whisky during the Maturation process and if you want to listen to the playlist... here is the link. https://open.spotify.com/playlist/1w6KeG09G0VWrRRkkLZet0?si=972b68b77ae9468e Check it out.
In this episode, Richard Pharro, CEO of APMG International, speaks to Neil Keating, founder of Experience Collab, to delve into the world of Experience Level Agreements (XLAs) and their significance in the IT industry. To begin, Neil distinguishes XLA's and SLA's and outlines how they can help improve the overall experience for IT customers, consumers and employees.Neil then emphasises the importance our emotions play in consumer and employee experience. He explains Affective Science; how emotions are a physical factor that can be measured, for example experiencing a faster heartbeat, hairs standing up on your arms etc. However, feelings (which derive immediately from the initial emotion) are more logical and are the pinnacle factor that drive us to reach certain conclusions about an experience.Neil emphasises that our experiences with a service are usually cumulative; our feelings and beliefs often build up over time. Next, Richard and Neil discuss how such beliefs can often establish loyalty to a particular brand, or conversely, can cause customers to stray. Neil stresses that this is why creating a comfortable customer experience is paramount to the success of a business and is what will keep customers returning.Richard and Neil further discuss the rise of AI & automated services, and the impact this has on user experience. They discuss how AI has created a new demand to balance efficiency with personalised experiences, particularly because some people may prefer human interaction over automation, and vice versa. By understanding how people feel about their experience as a user - customer or employee - organisations can drive productivity and create a supportive work environment.Listen in to discover how XLA's can positively impact your network's experience, as this week's episode delves into the ever-evolving landscape of customer experience.LINKS:
¡Otro domingo, otra reunión en la cabaña del guardabosques!Hoy nos adventuramos en descubrir el lado más raro de la naturaleza, cuando las circunstancias desencadenan procesos que rozan la ciencia ficción¡Hablemos de plagas!Las encontramo en todas las civilizaciones, predichas o no. En este capítulo analizamos los flagelos que han golpeado, o están afectando, a la civilización humana y a la propia naturaleza, con efectos fatidicos para la sobravivencia en el planeta terra.¿Quieres explorar más?Patos limpiaplagas: https://elpais.com/videos/2020-09-17/un-ejercito-de-10000-patos-limpia-de-plagas-los-arrozales-tailandeses.html ¿Qué son las plagas? https://abcplaguicidas.croplifela.org/quesonplagas/ Las plagas de la Biblia explicadas por la ciencia: https://www.elespanol.com/ciencia/20170414/208479359_0.html Concatenación de las plagas de Egipto: https://salvatorecapo.wordpress.com/2020/09/16/le-dieci-piaghe-degitto-due-possibili-spiegazioni-scientifiche/La lluvia de ranas https://www.ecologiaverde.com/por-que-llueven-ranas-del-cielo-1230.html Polillas y deforestación en el Ártico: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1046/j.1365-2664.1999.00385.xLa historia de la plaga de langostas https://aemetblog.es/2020/06/05/antecedentes-historicos-de-las-plagas-de-langosta-i/ La langosta en las Rocky Mountains https://www.revistaquercus.es/noticia/506/retos-ecologicos/la-langosta-que-atemorizo-al-oeste.html Las cigarras periódicas y su invasión espontánea https://www.ngenespanol.com/animales/cada-17-anos-las-cigarras-emergen-de-la-tierra-y-este-ano-miles-de-millones-invadiran-eeuu/ Calendario de aparición de cigarras en EEUU a partir de 2021 https://www.cicadamania.com/cicadas/the-next-17-years-of-periodical-cicadas/ La invasión de los conejos en Australia: https://www.abc.es/ciencia/curiosa-historia-plaga-conejos-australia-20220715130354-nt.htmlEl ser humano como plaga https://www.naiz.eus/eu/hemeroteca/7k/editions/zazpika_2015-05-03-07-00/hemeroteca_articles/alejandro-cearreta-los-seres-humanos-somos-para-el-planeta-una-plaga-que-puede-durar-mas-o-menos-tiempo David Attenborough asegura que el hombre es una plaga https://www.lainformacion.com/tecnologia/david-attenborough-asegura-que-los-humanos-son-una-plaga_UvmQhwJySbLrCzCeDiIRr5/ La plaga humana y su ciclo en la Tierra
We are now launching our dedicated new YouTube and Twitter! Any help in amplifying our podcast would be greatly appreciated, and of course, tell your friends! Notable followon discussions collected on Twitter, Reddit, Reddit, Reddit, HN, and HN. Please don't obsess too much over the GPT4 discussion as it is mostly rumor; we spent much more time on tinybox/tinygrad on which George is the foremost authority!We are excited to share the world's first interview with George Hotz on the tiny corp!If you don't know George, he was the first person to unlock the iPhone, jailbreak the PS3, went on to start Comma.ai, and briefly “interned” at the Elon Musk-run Twitter. Tinycorp is the company behind the deep learning framework tinygrad, as well as the recently announced tinybox, a new $15,000 “luxury AI computer” aimed at local model training and inference, aka your “personal compute cluster”:* 738 FP16 TFLOPS* 144 GB GPU RAM* 5.76 TB/s RAM bandwidth* 30 GB/s model load bandwidth (big llama loads in around 4 seconds)* AMD EPYC CPU* 1600W (one 120V outlet)* Runs 65B FP16 LLaMA out of the box (using tinygrad, subject to software development risks)(In the episode, we also talked about the future of the tinybox as the intelligence center of every home that will help run models, at-home robots, and more. Make sure to check the timestamps
The current transition to an ESM approach can't only rely on IT-based practices, processes, and frameworks. Certified coach John Worthington unlocks the power of Unified Service Management and explains how adopting this method can help achieve the standardization of services across the whole organization. He highlights its simplicity and the fact that it is able to support all coexisting frameworks as its strongest points to create a solid and stable foundation for enterprises to count on. John Worthington is an ITIL V3 expert, an XLA master, and a certified USM coach. He has over 40 years of experience in Information Technology. John began his career managing sales for a custom app dev team at Unisys and doing sales and quality improvement at AT&T. He moved into Service Management and business development for a few companies before starting MyServiceMonitor. He now serves as a major contributor and fan to the expansion Unified Service Management method in the United States.
A 21 ans, mon invitée de cette semaine, Sixtine Moullé-Berteaux, a déjà trois ans d'expérience professionnelle à son actif, et non des moindres. Fondatrice du média Le Crayon et CEO du Surligneur, une agence de relations publiques et de personal branding, Sixtine présente un profil pour le moins exceptionnel et impressionnant. Dès le lycée, elle se passionne pour les débats politiques, un intérêt que peu de ses pairs partagent. Toutefois, ses professeurs lui apportent leur soutien. Elle trouve alors injuste que les seuls espaces de discussions politiques se trouvent sur des plateaux télé où la parole est souvent coupée, empêchant d'approfondir ses arguments. C'est de cette frustration que naît l'idée de créer, avec son frère Wallerand, un média de débat, Le Crayon. Ils sont rejoints dans cette aventure par deux autres associés, Jules et Antonin. Le Crayon se définit comme "le média neutre où chaque invité est libre de défendre ses arguments, quel que soit son point de vue sur le sujet". Rapidement, l'équipe comprend que les réseaux sociaux sont la clé de leur futur succès. Ils se lancent alors dans une exploration intensive des codes de ces plateformes. Et le succès est au rendez-vous ! En l'espace de seulement six mois, Sixtine rassemble 100 000 abonnés sur Instagram, alors qu'elle n'était auparavant présente sur aucun réseau social. Du smartphone à un setup professionnel, Le Crayon totalise aujourd'hui plus de 43 millions de vues sur YouTube. Aujourd'hui, c'est sur LinkedIn que Sixtine s'exprime le plus, et elle le fait brillamment. Son talent d'oratrice lui a même permis de participer à un TEDx, un honneur qui n'est pas donné à tout le monde. Sixtine est un condensé d'énergie à surveiller de près. Il y a fort à parier que son nom continuera de résonner dans le milieu politique. Dans cet épisode, Sixtine nous dévoile les coulisses de la création de Le Crayon et de la genèse des deux autres agences qui lui sont affiliées et complémentaires. Elle retrace leur première production, ainsi que leur démarche pour décoder les mystères des réseaux sociaux. Qu'est-ce qui rend Le Crayon unique parmi les médias actuels et quelles sont ses ambitions ? Elle nous en parle. Nous aborderons également sa vision des réseaux sociaux et son ascension fulgurante sur Instagram en moins d'un an. Sixtine partagera également quelques conseils pour se démarquer sur LinkedIn, nous parlera de ses expériences, de ses fiertés, de son quotidien de femme d'affaires à 21 ans, et surtout de sa perception de la politique actuelle et future. (0:07:03) - Débats, diversification et modération (0:15:38) - Stratégie et impact des médias sociaux (0:21:20) - Stratégie LinkedIn et création de contenus (0:40:03) - Astuces de publication sur LinkedIn et sujets personnels (0:44:53) - La tendance des "faux podcasts" (0:55:35) - La stratégie d'Emmanuel Macron sur les médias sociaux -------
Wow, what a week, you can tell when Steve and Marijn have had a busy week because you get this very laid-back podcast where they discuss their Trips... and start with a Whisky Chat before moving on to talk about 70% of the project failing and deciding if it is Fake News.In this Podcast, we look at the truth behind the common assumption that 70% of projects fail and analyse if it is accurate and how you can take MS Viva and ensure that it is successful. https://www.linkedin.com/pulse/do-70-change-management-projects-really-fail-simon-lewington/Simon does a great review and background on the statement... worth a read.The Forgetting list... CooperKing.... Not CastleKing is the name of the new Distillery Steve visited and the boys tasted their new make spirit which is full of promise. Matt Wade is the producer of the M365 Periodic Table. Steve and Marijn are both simply getting old and forgetful... we did however remember Dylan's name!!Steve's Golden Nugget is about Monopoly Money used to set priorities in workshops instead of dots on Post-Its. And then they discuss how impossible it is to roll out Viva in a quantifiable wayIn essence, this Third Sponsored podcast from CloudALLY www.cloudally.com looks at why projects fail and how to create success.I don't want to ruin a great podcast with spoilers but check out the 7 reasons why projects fail and 5 Golden Nuggets to put your project on the proper foundation for success. XLA is the secret sauce in the process... work to be completed to resolve exactly how you and your organisation will design these.The boys drink the last CloudALLY provided whisky a Tomatin Decades 2 that is comprised of barrels Matured across 5 decades... a genuinely awesome dram.
Weston Morris is the Senior Director for Global Strategy for Digital Workplace Solutions at Unisys, and the podcast host of the Digital Workplace Deep Dive. The conversation dives into the quickly evolving world of Experience Level Agreements (XLA) are changing the way we look at IT services, focusing on actual business impact and employee productivity. Find out how Unisys research found out that the typical employee loses between 1-5 hours of productive work time per week and what that could mean in monetary terms in different business contexts. Key Takeaways Experience management recognizes that the end-user expectations of experience changes over time. The new view and desired view of IT is an enabler of productive work, closely linked to the bigger company goals. The new conversation between IT and business uses experience management as a tool to understand the end-users in new ways. XLA 1.0 was mostly about measuring technical data, the DEX scores XLA 2.0 collects data from multiple sources, are persona based XLAs and linked to business goals. Links Digital Workplace Deep Dive Podcast: https://www.unisys.com/dws-deep-dive/ Weston Morris LinkedIn: https://www.linkedin.com/in/westonjmorris/ From surviving to thriving in hybrid work report: https://www.unisys.com/siteassets/microsites/hfs/hfs-from-surviving-to-thriving-in-hybrid-work.pdf To learn more about how HappySignals Built-in XLA Management works: https://www.happysignals.com/product/xla-management
Cette semaineà l'émission, avec ma co-animatrice invitée La Sirène, on reçoit Jessi Thicc & Claudia! On lit le courrier du coeur d'un anonyme qui se demande pourquoi son partenaire le cache. Jessi Thicc nous raconte son expérience à Quarantine Radio et de la vie de travailleuse du X à LA. On discute aussi de la compatibilité amoureuse selon les signes. Claudia nous partage sa décision courageuse de quitter sa religion. On parle aussi de petits outils et de la difficulté de Jessi Thicc d'avoir des relations sexuelles qui durent longtemps. Comptoir Plaza Créole: https://www.comptoirplazacreole.ca/ Rejoignez notre Patreon: https://www.patreon.com/damouretdesexe Vous avez des courriers du coeur, des commentaires et des suggestions? Envoyez nous un courriel au damouretdesexepodcast@gmail.com Suivez nous sur Instagram: https://www.instagram.com/damouretdesexeSuivez nous sur Twitter: https://www.twitter.com/DAEDS_podcastSuivez nous sur Tik Tok: https://www.tiktok.com/@damouretdesexe
Are SLAs just Secrets, Lies and Assumptions? Do we fudge the KPIs to show we have excellent delivery? It's possible, but XLA's are more difficult to fool. The boys are talking about experience and happiness on this podcast that defines and describes XLA's, eXperience Levels Agreements and how they fit into the picture of SLA and OLA.Valentine's day caused some delays as it fell on a regular recording night, so Steve and Marijn had to delay swapping Vantine gifts, but we did that on this podcast. But the delay revives some magic, and the Boys dig deep into some great tools to improve the end user experiences for delivering your Cloud and Microsoft 365 services to your users.We know what SLA OLA supports eXperience Level Agreements, and if you don't, you can learn something from Steve and Marijn as they talk about how this can improve the delivery, the change process and improve the tracking of Ability in the ADKAR process.All this and a Very different WHISKY FROM Finland as we return to the KYRO distillery for this episode's wee dram, maybe, just maybe, we have found a distillery that is just NOT to the taste of Marijn.This year we take on the road our Governance workshop and the key to that is understanding XLA's and much of today's learning you can drill down and catch in our Governance workshops through 2023. https://techorama.be/workshops/practical-microsoft-365-baseline-governance/
In this episode, Eveline Oehrlich is joined by Marco Gianotten to discuss how to master the art of a perfect experience. Marco is founder and CEO of Giarte. His badge of honor in the C-suite is 'The Friendly Insultant'. Marco is well-known for outside-in market views and creative problem solving. Marco is seen as a though leader in Xperience Management and XLA®. Enjoy the Humans of DevOps Podcast? We're incredibly grateful to be voted one of the Best 25 DevOps Podcasts by Feedspot. Want access to more DevOps-focused content and learning? When you join SKILup IT Learning you gain the tools, resources and knowledge to help your organization adapt and respond to the challenges of today. Have questions, feedback or just want to chat about the podcast? Send us an email at podcast@devopsinstitute.com
LIBROS PARA APRENDER APOLOGÉTICA : https://amzn.to/3WvGDjb Muchos abrazan la doctrina de la trinidad pero existen grupos que acusan a los cristianos de abrazar una falsa doctrina. Algunos dicen que no es biblica la enseñanza de Jesus y que esto fue un mero invento en el concilio de nicea. ¿Porqué los cristianos creen en la trinidad? ¿Es una doctrina basada en las enseñanzas de las escrituras o simplemente es un gran invento que crearon los cristianos? , Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. #ApologeticaCristiana #FeRazonable #DefensaDeLaFe Canal de teología y su madre: https://www.youtube.com/channel/UCD2F... Sígueme en Facebook: https://www.facebook.com/Apologetiko/ Sígueme en Instagram: https://instagram.com/apologetiko?igs... Sígueme en Tik Tok : https://www.tiktok.com/@apologetiko?l... Song: LAKEY INSPIRED - Chill Day (Vlog No Copyright Music) Music provided by Vlog No Copyright Music. Video Link: https://youtu.be/vtHGESuQ22s --- Support this podcast: https://anchor.fm/apologetiko/support
Sami and Pasi go through the typical mistakes organizations seem to make when they change their outsourced Managed Service Providers. Listen to the two most common mistakes Sami has recognized with global companies he has been talking with. This episode is especially for those companies who are looking start their XLA journey with their MSPs. --- HappySignals YouTube Channel: https://www.youtube.com/channel/UCZt8YNTGsNBiVCPEPWYr1nA Take the ITXM™ foundation course here - https://itxm.academy/itxm-foundation/ Read more about ITXM™ framework here - https://www.happysignals.com/itxm-framework-it-experience-management Learn more about HappySignals - https://www.happysignals.com/
Array Cast - July 8, 2022 Show Notes[01] 00:01:15 Dyalog Problem /solving Contest https://contest.dyalog.com/?goto=welcome[02] 00:01:35 Dyalog Early Bird Discount https://www.dyalog.com/user-meetings/dyalog22.htm[03] 00:02:40 Jeremy Howard wikipedia https://en.wikipedia.org/wiki/Jeremy_Howard_(entrepreneur) Fastmail https://www.fastmail.com/ Optimal Decisions Group https://www.finextra.com/newsarticle/18047/choicepoint-acquires-insurance-analytics-firm-optimal-decisions[04] 00:04:30 APL Study Group https://forums.fast.ai/t/apl-array-programming/97188[05] 00:05:50 McKinsey and Company https://en.wikipedia.org/wiki/McKinsey_%26_Company[06] 00:10:20 AT Kearney https://en.wikipedia.org/wiki/AT_Kearney[07] 00:12:33 MKL (Intel) https://en.wikipedia.org/wiki/Math_Kernel_Library[08] 00:13:00 BLAS http://www.netlib.org/blas/[09] 00:13:11 Perl BQN https://mlochbaum.github.io/BQN/running.html[10] 00:14:06 Raku https://en.wikipedia.org/wiki/Raku_%28programming_language%29[11] 00:15:45 kaggle https://www.kaggle.com/ kaggle competition https://www.kaggle.com/competitions/unimelb/leaderboard[12] 00:16:52 R https://en.wikipedia.org/wiki/R_(programming_language)[13] 00:18:50 Neural Networks https://en.wikipedia.org/wiki/Artificial_neural_network[14] 00:19:50 Enlitic https://www.enlitic.com/[15] 00:20:01 Fast.ai https://www.fast.ai/about/[16] 00:21:02 Numpy https://numpy.org/[17] 00:21:26 Leading Axis Theory https://aplwiki.com/wiki/Leading_axis_theory[18] 00:21:31 Rank Conjunction https://code.jsoftware.com/wiki/Vocabulary/quote[19] 00:21:40 Einstein notation https://en.wikipedia.org/wiki/Einstein_notation[20] 00:22:30 GPU https://en.wikipedia.org/wiki/Graphics_processing_unit[21] 00:22:55 CUDA https://en.wikipedia.org/wiki/CUDA[22] 00:23:30 Map https://en.wikipedia.org/wiki/Map_(higher-order_function)[23] 00:24:05 Data Science https://en.wikipedia.org/wiki/Data_science[24] 00:25:15 First Neural Network https://en.wikipedia.org/wiki/Frank_Rosenblatt[25] 00:28:51 Numpy Another Iverson Ghost https://dev.to/bakerjd99/numpy-another-iverson-ghost-9mc[26] 00:30:11 Pivot Tables https://en.wikipedia.org/wiki/Pivot_table[27] 00:30:36 SQL https://en.wikipedia.org/wiki/SQL[28] 00:31:25 Larry Wall "The three chief virtues of a programmer are: Laziness, Impatience and Hubris." From the glossary of the first Programming Perl book.[29] 00:32:00 Python https://www.python.org/[30] 00:36:25 Regular Expressions https://en.wikipedia.org/wiki/Regular_expression[31] 00:36:50 PyTorch https://pytorch.org/[32] 00:37:39 Notation as Tool of Thought https://www.jsoftware.com/papers/tot.htm[33] 00:37:55 Aaron Hsu codfns https://scholarworks.iu.edu/dspace/handle/2022/24749[34] 00:38:40 J https://www.jsoftware.com/#/[35] 00:39:06 Eric Iverson on Array Cast https://www.arraycast.com/episodes/episode10-eric-iverson[36] 00:40:18 Triangulation Jeremy Howard https://www.youtube.com/watch?v=hxB-rEQvBeM[37] 00:41:48 Google Brain https://en.wikipedia.org/wiki/Google_Brain[38] 00:42:30 RAPIDS https://rapids.ai/[39] 00:43:40 Julia https://julialang.org/[40] 00:43:50 llvm https://llvm.org/[41] 00:44:07 JAX https://jax.readthedocs.io/en/latest/notebooks/quickstart.html[42] 00:44:21 XLA https://www.tensorflow.org/xla[43] 00:44:32 MILAR https://www.tensorflow.org/mlir[44] 00:44:42 Chris Lattner https://en.wikipedia.org/wiki/Chris_Lattner[45] 00:44:53 Tensorflow https://www.tensorflow.org/[46] 00:49:33 torchscript https://pytorch.org/tutorials/beginner/Intro_to_TorchScript_tutorial.html[47] 00:50:09 Scheme https://en.wikipedia.org/wiki/Scheme_(programming_language)[48] 00:50:28 Swift https://en.wikipedia.org/wiki/Swift_(programming_language)[49] 00:51:10 DragonBox Algebra https://dragonbox.com/products/algebra-12[50] 00:52:47 APL Glyphs https://aplwiki.com/wiki/Glyph[51] 00:53:24 Dyalog APL https://www.dyalog.com/[52] 00:54:24 Jupyter https://jupyter.org/[53] 00:55:44 Jeremy's tweet of Meta Math https://twitter.com/jeremyphoward/status/1543738953391800320[54] 00:56:37 Power function https://aplwiki.com/wiki/Power_(function)[55] 01:03:06 Reshape ⍴ https://aplwiki.com/wiki/Reshape[56] 01:03:40 Stallman 'Rho, rho, rho' https://stallman.org/doggerel.html#APL[57] 01:04:20 APLcart https://aplcart.info/ BQNcrate https://mlochbaum.github.io/bqncrate/[58] 01:06:12 J for C programmers https://www.jsoftware.com/help/jforc/contents.htm[59] 01:07:54 Transpose episode https://www.arraycast.com/episodes/episode29-transpose[60] 01:10:00 APLcart video https://www.youtube.com/watch?v=r3owA7tfKE8[61] 01:12:28 Functional Programming https://en.wikipedia.org/wiki/Functional_programming[62] 01:13:00 List Comprehensions https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions[63] 01:13:30 BQN to J https://mlochbaum.github.io/BQN/doc/fromJ.html BQN to Dyalog APL https://mlochbaum.github.io/BQN/doc/fromDyalog.html[64] 01:18:15 Einops https://cgarciae.github.io/einops/1-einops-basics/[65] 01:19:30 April Fools APL https://ci.tc39.es/preview/tc39/ecma262/sha/efb411f2f2a6f0e242849a8cc8d7e21bbcdff543/#sec-apl-expression-rules[66] 01:20:35 Flask library https://flask.palletsprojects.com/en/2.1.x/[67] 01:21:22 JuliaCon 2022 https://juliacon.org/2022/[68] 01:28:05 Myelination https://en.wikipedia.org/wiki/Myelin[69] 01:29:15 Sanyam Bhutani interview https://www.youtube.com/watch?v=g_6nQBsE4pU&t=2150s[70] 01:31:27 Jo Boaler Growth Mindset https://www.youcubed.org/resource/growth-mindset/[71] 01:33:45 Discovery Learning https://en.wikipedia.org/wiki/Discovery_learning[72] 01:37:05 Iverson Bracket https://en.wikipedia.org/wiki/Iverson_bracket[73] 01:39:14 Radek Osmulski Meta Learning https://rosmulski.gumroad.com/l/learn_machine_learning[74] 01:40:12 Top Down Learning https://medium.com/@jacksonbull1987/top-down-learning-4743f16d63d3[75] 01:41:20 Anki https://apps.ankiweb.net/[76] 01:43:50 Lex Fridman Interview https://www.youtube.com/watch?v=J6XcP4JOHmk Deep Talks #54 https://www.youtube.com/watch?v=n7YVlPszaWc0
¿Cual es la mejor biblia? es una de las pregunas que mayormente se hacen las personas. En este video explico la razón por la cual ESTA BIBLIA EN PARTICULAR NO PUEDE SER LLAMADA LA MEJOR... Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. #ApologeticaCristiana #FeRazonable #DefensaDeLaFe Canal de teología y su madre: https://www.youtube.com/channel/UCD2F... Sígueme en Facebook: https://www.facebook.com/Apologetiko/ Sígueme en Instagram: https://instagram.com/apologetiko?igs... Sígueme en Tik Tok : https://www.tiktok.com/@apologetiko?l... Song: LAKEY INSPIRED - Chill Day (Vlog No Copyright Music) Music provided by Vlog No Copyright Music. Video Link: https://youtu.be/vtHGESuQ22s --- Support this podcast: https://anchor.fm/apologetiko/support
Hablar con un NO CREYENTE puede ser retante para nosotros, en especial cuando se nos enseña en la iglesia a recitar versículos y no prestar atención a la conversación que estamos teniendo. Desde que aprendí esto, mi vida cambió por completo. La presión que sentíá antes y me limitaba al hablar con el no creyente desapareció. Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. #ApologeticaCristiana #FeRazonable #DefensaDeLaFe Canal de teología y su madre: https://www.youtube.com/channel/UCD2F... Debate con Alex Gargola: https://youtu.be/D6DKgv43F1U Sígueme en Facebook: https://www.facebook.com/Apologetiko/ Sígueme en Instagram: https://instagram.com/apologetiko?igs... Sígueme en Tik Tok : https://www.tiktok.com/@apologetiko?l... Song: LAKEY INSPIRED - Chill Day (Vlog No Copyright Music) Music provided by Vlog No Copyright Music. Video Link: https://youtu.be/vtHGESuQ22s --- Support this podcast: https://anchor.fm/apologetiko/support
What do industry practitioners actually think of experience-level agreements? At the 2022 HDI SupportWorld Live Conference, Unisys' Weston Morris interviewed five conference goers about their XLA "aha moments" for the Digital Workplace Deep Dive podcast.
Giarte Podcast | Paul Iske is hoogleraar Open Innovation & Business Venturing aan de School of Business and Economics van de Universiteit Maastricht, alsmede extra-ordinary professor aan het Institute for Information Science aan de Stellenbosch University, Zuid-Afrika. Daarnaast is hij CFO (Chief Failure Officer) van het Instituut voor Briljante Mislukkingen, met als doel begrip te kweken voor het belang van experimenteren en leren in een veranderende en complexe wereld. Paul is auteur van het boek ‘Instituut voor Briljante Mislukkingen' en voorzitter van de Stichting PHC Catalyst, dat als missie heeft de transitie naar gepersonaliseerde, data-gedreven zorg te versnellen. Paul is van oorsprong theoretisch fysicus en heeft naast zijn consultancy-praktijk voor Shell en ABN AMRO (Chief Dialogues Officer & Senior Vice President Innovation) gewerkt. Luister! Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbeter en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Giarte Podcast | Welke invloed heeft de historie van IT op onze huidige IT? Waarom is IT vaak een hoofdpijndossier voor bestuurders? Jan Muchez: CIO, COO, IT filosoof en beruchte ‘nestbevuiler' over de alternatieve betekenis van EBIT, corporate IT en up-to-date blijven. Jan Muchez is semi-retired na een loopbaan van 45 jaar in IT, Hij was o.m. CIO van KPN en Randstad maar werkte ook aan de leverancierszijde en in de consulting. Dit geeft hem een uniek perspectief over de evolutie van het vakgebied met soms originele inzichten. Hij is nog steeds actief als consultant en toezichthouder. Jan is Belg maar woont en werkt sinds 25 jaar in Nederland. “Of je het nu legacy of heritage noemt, we leven allemaal met de historie van IT. Veel van de beperkingen in IT komen voort uit de afgelopen zestig jaar sinds het ontstaan van IT. Als je uit een verzuilde organisatie komt, fixed mobile, is het bijna onmogelijk om daar een toekomstbestendig model van te maken.” - Jan Luister! Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbeter en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
La mayoría de las veces que hablo con un NO CREYENTE me dicen que rechazan la religión porque es la religión la causante de las guerras. Me dicen que la religión no ha hecho ningun bien si no más un daño. Lo más seguro tu has escuchado igualmente esto y quizas hasta lo creíste. ¿Pero que tal si la religión no es la causante de las grandes guerras? ¿Que tal si existe otro causante al que parece que la gente olvidó? Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. Song: LAKEY INSPIRED - Chill Day (Vlog No Copyright Music) Music provided by Vlog No Copyright Music. Video Link: https://youtu.be/vtHGESuQ22s --- Support this podcast: https://anchor.fm/apologetiko/support
Giarte Podcast | Michel Peters, voormalig CIO bij SiZA (SIZA ondersteunt mensen met niet aangeboren lichamelijke beperkingen en geestelijke handicaps) en huidig CEO bij Growtivity. Peters vertelt over de discrepantie tussen IT en zorginstellingen. “Ik ergerde me er altijd aan dat mensen in de zorg tijdens hun opleiding geen IT-vaardigheden krijgen aangeleerd. Ze worden pas met ingewikkelde systemen geconfronteerd op het moment dat ze ermee moeten werken. Wat ze bij SIZA deden, was dat ze gingen kijken vanuit het design thinking principe. Waar is behoefte aan? Wat wil je nou eigenlijk bereiken?'' - Michel. Luister! Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbeter en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Giarte Podcast | Cybersecurity met Jaya Baloo In onze kapitalistische wereld is security een privilege, een voorrecht voor alleen de hele rijken. Jaya gelooft dat het voor iedereen belangrijk is. Niet alleen veiligheid, maar alle nieuwe technologie. Het is momenteel vooral voor een bepaald deel van de bevolking. De VN bestempelde dit fenomeen als ‘digital divide'. De digitale kloof tussen arm en rijk is ook van toepassing op beveiliging en privacy. Dat vind ik gewoon onacceptabel. Met de beste intenties gaan er een hoop dingen fout met alles wat we proberen te bouwen. Ik wil graag meehelpen die dingen weer recht te zetten.” Jaya Baloo is geboren in India, opgegroeid in de Verenigde Staten en al heel wat jaren in de top van het bedrijfsleven in Nederland. In 2018 werd ze door Forbes genoemd als ‘100 Women Founders in Europe To Follow'. Jaya Baloo, huidig chief information security officer (ciso) bij Avast, hiervoor werkzaam als ciso bij KPN, over nieuwe technologie en de veiligheid die het wel of niet biedt. Luister! Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbeter en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Giarte Podcast | Hoe laat je je team werken als een op elkaar ingespeeld orkest? Wat is Music Thinking en wat hebben we eraan in de wereld van IT? Christof Zürn, oprichter van het adviesbureau Creative Companion, en auteur van het boek The Power of Music Thinking, over ‘Listen, Tune, Play, and Perform', designthinking en creatief leiderschap. Christof Zürn is de oprichter van musicthinking.com en het adviesbureau Creative Companion. Hij faciliteert teams en leiders hun professionele vaardigheden verder te ontdekken. Met zijn brede ervaring in creatief leiderschap, merkontwikkeling, management consulting en service design, is Zürn een hands-on professional voor effectieve co-creatieve oplossingen voor complexe organisaties. The Power of Music Thinking boek: https://musicthinking.com/book-the-power-of-music-thinking/ Creative Companion B.V.: https://creative-companion.com/ Luister! Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbeter en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
This episode features an interview with Weston Morris. He is the Director of Global Strategy for Digital Workplace Services at Unisys. He is responsible for leading the global strategy for emerging technologies that impact digital worker productivity – including Natural Language Processing, Artificial Intelligence, Automation, Merged Reality, Virtualization and IoT. In this episode, he talks about experience level agreements or XLAs, micro personalization as the future of employee experience, and getting an accurate picture of what employees are really experiencing at your company.Quotes*”About 45% of employees that are working from home are installing software that they know is not approved by corporate IT in their home environment. They just needed it. [They think,] ‘You're not meeting my experience needs, and guess what? I'm going to bypass security and hopefully nothing bad happens as a result.' And yet the corporation thinks that everything's fine. That is a jarring disconnect. It's something that every IT department really needs to be looking at closely.”*”You really have to be careful about what you're measuring and what you're inferring from that. During the early days of the pandemic, productivity was up. But the reality was, we weren't able to do anything else. [Employees had] already binge watched Seinfeld or The Office, and they couldn't go to restaurants or sports events. So they just stayed home and worked, and worked some more. And so that's what showed that productivity was up, but that is not sustainable. You really need to make sure you're measuring the right stuff and have a holistic picture. And you need to have two way communication to understand what the real experience is of your employees.”*“I go back to this organizational change management. You need to explain, what's changing, why it's changing, what [your] role is in that change. And then if it doesn't work right, where do [they] go to get help? If you can answer those questions, I'm going to feel good about it. And I'm going to mostly support, or maybe even be an ambassador for the change.”*“Anytime that there's a failure, it's kind of easy to get into the trap of finger-pointing. But the reality is not all changes work. Where I've seen it really work well is when you try to fail fast and move on, not to allow the failure to linger and take forever to be discovered. And it's hard to do if you, as a leader, are discouraged. So one of the things I do is try to focus on my own attitude first.”*”Don't be quick to judge somebody or put them in the box. A lot of times, that first impression is not quite right. And realize that everyone you meet is going to be smarter or better than you at something. So if you can find out what that is, and extract that gem from that other person, it's just going to help you. And then the flip side is be ready to collaborate and share. “Time Stamps*[4:00] The Flight Plan: Get to know Unisys*[12:49] First Class: Best EX practices at Unisys*[27:44] Turbulence: EX lessons learned*[33:37] Advice for other EX leadersLinksConnect with Weston on LinkedInCheck out XLA.TVCheck out the Digital Workplace Deep Dive podcastThanks to our friendsThis episode is brought to you by Firstup, the company that is redefining the digital employee experience to put people first and lift companies up by connecting every worker, everywhere with the information that helps them do their best work. Firstup has helped over 40% of the Fortune 100 companies like Amazon, AB InBev, Ford and Pfizer stay agile and keep transforming. Learn more at firstup.io
Giarte Podcast | Het doorvoeren van duurzaamheid binnen Eneco met Guido Dubbeld Hoe is duurzaamheid innig verbonden geraakt met liberalisering van de energiemarkt? Wat heeft het effect van de lone nut op transformatie? Guido Dubbeld, voormalig CFO bij Eneco, over de Lone Nut, digitale transformatie en verduurzaming. Na zes jaar ervaring in risicomanagement in derivaten bij MeesPierson, HypoVereinsbank en UBS, is Guido teruggekeerd naar Nederland om in 2002 voor Eneco Group risicomanagement vorm te geven. De start van de liberalisering van de energiemarkt in die tijd is de basis van de grote energie transitie waarin we nu zitten. Na de positie van directeur van energie trading heeft Guido vanaf 2011 de rol van Group CFO Eneco op zich genomen. In de volgende tien jaar heeft hij een belangrijke bijdrage geleverd aan Eneco's duurzame strategie, het One PLanet concept, de afsplitsing van Stedin en uiteindelijk de verkoop van Eneco aan Mitsubishi. Zijn vrije tijd besteedt hij graag aan trail runnen en triatlons. Luister! Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbeter en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
¿Crees que es ilógico creer en los milagros? ¿Crees que los milagros van en contra de la lógica? ¿Te han dicho que es imposible que los milagro ocurran? ¿Que tal si te digo que podemos analizar la posibilidad de los milagros a través de un lente más intelectual? Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. --- Support this podcast: https://anchor.fm/apologetiko/support
¿Será que Jesus es solo uno mas y no EL camino? ¿Es posible que todas las religiones tengan un pedazo de la verdad y deberiamos tener un poco de cada una para conocer la verdad? ¿Que tal si todas las religiones son un camino que conducen al mismo Dios? Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. --- Support this podcast: https://anchor.fm/apologetiko/support
Si eres Cristiano lo más seguro has escuchado la frase "Vivo una Relación no vivo una Religión"...¿Pero está correcto esto? ¿Que implicaciones tiene esta frase? Despeja Pa' X La apologética cristiana es una de las herramientas, en mi opinión, más importante para esta generación. Una herramienta que intenta contestar preguntas dificiles de la Biblia, Dios, Jesus y la fe misma. Creo que especialmente todo pastor de jóvenes debería conocer almenos los tópicos básicos. Muchos piensan que la apologética es meramente discutír con las personas pero en realidad abre puertas a conversaciones con personas que no conocen de Dios y por alguna razón están apáticos al tema. Igual ayuda a reafirmar la fe de los hermanos en la fe, creo que no solo es una herramienta para evangelizar si no que puede ser utilizada como una herramienta para educar o discipular en la iglesia. Temas como ¿Existe evidencia para la existencia de Dios? ¿Realmente existió Jesus? ¿Como comprobamos la muerte y la resurrección de Jesus? ¿Como sabemos que el Cristianismo es la única verdadera religió? ¿Como sabemos que podemos confiar en la biblia? y la lista de las preguntas continúa. La apologética cristiana intenta derrumbar todas las barreras mentales para poder presentar el evangelio y que la persona pueda abrazarla con el corazón. Algunas de las personas que me han inspirado a comenzar este canal de apologética son: Frank Turke, William Lane Craig, Jorge Gil, Rincon Apologetico, Norman Geisler, C.S. Lewis, David Wood y muchisimos otros. Siempre pensé que la fe era solo cuestión de eso...fe. Pero gracias a estas personas me he dado cuenta que en la fe hay espacio para la razón. Sígueme en Facebook: https://www.facebook.com/Apologetiko/ Sígueme en Instagram: https://instagram.com/apologetiko?igs... Sígueme en Tik Tok : https://www.tiktok.com/@apologetiko?l... --- Support this podcast: https://anchor.fm/apologetiko/support
Roy Frostig - JAX: accelerating machine learning research by composing function transformations in Python JAX is a system for high-performance machine learning research and numerical computing. It offers the familiarity of Python+NumPy together with hardware acceleration, plus a set of composable function transformations: automatic differentiation, automatic batching, end-to-end compilation (via XLA), parallelizing over multiple accelerators, and more. JAX's core strength is its guarantee that these user-wielded transformations can be composed arbitrarily, so that programmers can write math (e.g. a loss function) and transform it into pieces of an ML program (e.g. a vectorized, compiled, batch gradient function for that loss). JAX had its open-source release in December 2018 (https://github.com/google/jax). It's used by researchers for a wide range of applications, from studying training dynamics of neural networks, to probabilistic programming, to scientific applications in physics and biology.
Giarte Podcast | Intellectueel eigendom in de digitale wereld Advocaat Abraham Mouritz is in 2017 uitgeroepen tot beste onafhankelijke jurist met de 'Dutch Independent Legal Award'. Met Abraham heb ik het over privacy en het belang van immateriële activa voor de waardering van bedrijven en de toekomst van intellectueel eigendom in een digitale wereld. Vraag jezelf af: geen winst, forse verliezen en toch een astronomische waardering van snelgroeiende bedrijven? Welkom in de Champions League van startups: Unicorns. Dit is de felbegeerde bedrijfswaardering van meer dan 1 miljard dollar. 'Mega valuation' haal je niet uit de winst- en verliesrekening. Het antwoord zit in de waardering van de intangible assets. Dit zijn niet-fysieke activa, zoals auteursrechten, goodwill, octrooien, personeel en klanten. Luister! - Abraham Mouritz, inmiddels 25 jaar advocaat, is een echte legal business partner voor organisaties en bedrijven in de huidige technologie gedreven wereld. Zijn expertises zijn IT recht, privacy en commerciële contracten. Abraham heeft bij verschillende multinationals gewerkt, met name bij Anglo-Amerikaanse bedrijven. Hij heeft zowel de visie van een in-house counsel als van een externe advocaat, combining the best of both. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Giarte Podcast | Janine Vos | HR loves IT Janine Vos is CHRO en lid van de groepsdirectie bij Rabobank en te gast in onze podcast. Janine houdt van transformaties om het werken leuker en efficiënter te maken, en heeft onder andere de agile manier van werken gepromoot bij de Rabobank sinds haar komst in 2016. Nu staat er een volgende transformatie op de planning: bij Rabobank zullen HR, facilities en IT-infrastructuur vanaf 2022 twee Tribes vormen: 'Organisation Work & Health' en 'Organisation Growth'. Naar klanten toe zijn ketens en klantreizen al het normaal, zoals bij het aanvragen van een nieuwe hypotheek. De stap van 'kavels naar ketens' gaat de Rabobank ook zetten voor het sociale kapitaal, hun 43.000 medewerkers. Janine praat over 'vermoeide helden' en het bieden van perspectief én hoop om cultuurverandering in de haarvaten te laten slagen. Ga voor human being management en stop met het linear denken over productiviteit! Volgens het World Economic Forum geeft 77 procent van de werkende mensen - in onze moderne maatschappij - aan dat hun competenties niet goed worden benut door hun werkgever. Janine geeft fantastisch weer wat de weg is naar high performing organisaties door mensen centraal te stellen. - Janine Vos is lid van de groepsdirectie en CHRO van de Rabobank. Daarnaast maakt ze onderdeel uit van de Raad van Commissarissen van KLM en zit ze in de Raad van Advies van SER Topvrouwen. Janine werd in 2017 verkozen tot CHRO of the Year vanwege haar visie op leiderschap en de toekomst van werk. Zij heeft een inspirerende kijk op de combinatie van werkgeluk en het ‘nieuwe' normaal. Haar verhaal gaat over wellbeing, persoonlijke ontwikkeling en diversiteit. Al met al wil zij aangeven waarom een andere manier van werken noodzakelijk is en de baan van vandaag onvergelijkbaar zal zijn met die van (over)morgen. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Giarte Podcast | Ivo Roefs | Het bouwen van een superbrand binnen de zakelijke IT Ivo Roefs is CMO van Schuberg Philis en voorzitter van de Dutch Digital Agencies. De DDA is de branchevereniging voor 'de beste verslimmers' uit de Nederlandse digitale industrie. Ivo 'eats, sleeps and drinks brand stuff' en heeft een gepassioneerde kijk op het belang van authentieke merken in de wereld van zakelijke IT. Hoe bouw je aan een superbrand? Hoe zorg je dat digitale transformatie niet voelt als een uitgewoonde hype? In deze podcast laat Ivo zich uit over de markt, de publieke zaak en Schuberg Philis. - Ivo Roefs - Innovative leader with 25+ years of experience in marketing. Change manager for (digital) transformation, with a talent for handling different (international) cultures in mergers and acquisitions. People person, bridge-builder providing strategy and energy, and specialist in molding the right culture for a winning team. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset.
Giarte Podcast | Chief Impact Officer | Michiel Valk In deze podcast Michiel Valk als gast. Voor Michiel staat de I van CIO voor Impact. Welk verschil maak je voor klanten, de business en je eindgebruikers? Michiel is vanaf het prille begin betrokken bij de opkomst van XLA. Voor hem staat de afkorting SLA vaak 'Secrets, Lies, and Assumptions' omdat IT niet stuurt op wat echt telt. Met concrete voorbeelden vertelt hij over omdenken en doorbraakmomenten om als CIO het verschil wél te maken. Vergeet denken in supply en demand! Voorkom dat Business-IT Alignment een loopgravenoorlog wordt! Het 'hoe' legt Michiel haarfijn uit. En met mooie good practices van XLA uit zijn tijd bij KPN, Randstad en nu Essent. - Michiel Valk is in zijn hele loopbaan werkzaam binnen IT in meerdere rollen. Ooit gestart als informatie analist en uiteindelijk actief als CIO/IT Directeur in diverse sectoren (Telecom, HR, Energie). Het verbinden van business met IT staat centraal in zijn aanpak, waardoor IT ook echt de juiste impact maakt op de klantbeleving. Op dit moment is Michiel sinds 1 oktober 2020 werkzaam als CIO bij Essent en geeft vorm aan de digitale transformatie van de energiesector. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset.
Giarte Podcast | Paradijsvogels | Eric Kuisch Eric Kuisch schreef het boek Paradijsvogels - over het leidinggeven aan gedreven geeks en steengoede specialisten. Met een indrukwekkende carrière als COO, CTO én CIO in de wereld van tech, weet Eric welke valkuilen je kunt voorkomen als manager van een groep met een hoger IQ dan jij. Dit zijn mensen die niets kopen voor de mooiweerverhalen van een topmanager en nietsontziend zijn in het spuien van hun gal. In deze podcast gaan we in op innovatief leiderschap en op hoe je als CxO het best kun omgaan met technologische hoogvliegers en creatieve buitenbeentjes. - Eric Kuisch is Chief Operating Officer van de Eurofiber Group sinds 1 januari 2020. Hij heeft bijna 30 jaar ervaring in telecommunicatie en ICT, en bekleedde senior managementfuncties bij KPN en Vodafone. Eric wordt gedreven door de vitale rol die digitale infrastructuur speelt in de samenlevingen en economieën van de landen waarin Eurofiber actief is, de technologische ontwikkelingen en de kansen die dit met zich meebrengt. Eric woont in Houten, is getrouwd en heeft een zoon en twee dochters. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Xà La'awran's Coin is a story I wrote some time ago. I've always meant to put an animation to it (and I likely will at some point), but I just felt like I wanted to get it out there. I hope you enjoy the story :) Special thanks to Devanath on Pixnio for providing the coin image used in the cover art for this bonus production. --- Send in a voice message: https://anchor.fm/thegreatfilter/message Support this podcast: https://anchor.fm/thegreatfilter/support
Les podcasts d'Auden-Saison 2- Interdit aux adultes (X) _La veangeance de Cornebidouille_écrit par Magali Bonniol et illustré par Pierre Bertrand _Raconté par Auden
What's PyTorch XLA? Why should you care? How is it implemented? How does PyTorch XLA trade off functionality versus ease of performance debugging? What are some new developments in this space?Further reading.XLA's repo has lots of really good docs. Check out https://github.com/pytorch/xla/blob/master/OP_LOWERING_GUIDE.md and also the main https://github.com/pytorch/xla/blob/master/README.mdAlex Suhan's RFC about lazy core https://github.com/pytorch/rfcs/pull/18
Giarte Podcast | Digital Brand experience 2.0 | Digitale innovatie en klantrelaties De digitale investeringsagenda heeft door de coronacrisis een enorme boost gekregen. We hadden domweg geen keus: het normaal in klantinteracties én werken was plotsklaps online. McKinsey stelde recent dat het digitaliseringstempo zeven jaar is vooruitgesprongen. In deze aflevering praat ik met Paul Piebinga, co-president van Mobiquity, over de impact van de voortdenderende digitale innovatie op klantrelaties. De contacten zijn kort en hoogfrequent: van commerciële aanbiedingen tot firmware updates van devices. We denken te weinig na over de effecten van al die micro-interacties op de merkbeleving. Er is te veel ruis omdat marketing nog steeds in de klassieke push-stand staat. - Paul Piebinga is currently the General Manager of Mobiquity Inc.'s European business and a member of its Executive Team. Prior to joining Mobiquity, Paul held a number of prominent leadership positions for firms across many of the industries Mobiquity serves today, including CIO of Enexis (energy), CIO of Achmea (insurance), and senior roles at KPN (telco), Cambridge Technology Partners, and EDS. Paul holds a degree from the Royal Military Academy in the Netherlands. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Giarte Podcast | De toekomst van ITIL | Marco Gianotten in gesprek met Mark Smalley Met thought leader Mark Smalley praat Marco Gianotten in de podcast van Giarte over de toekomst van ITIL. Het debat over de relevantie van ITIL is zo oud als de weg naar Rome. Feit is dat de 'IT Infrastructure Library' wereldwijd het meest gebruikte referentiekader is voor het beheer van complexe IT-omgevingen. Dat gooi je niet zomaar weg. Hoe ziet de verbinding tussen ITIL en agile eruit? Wie beter dan Mark Smalley, auteur van het boek annex de ITIL4 module; 'High Velocity IT', om de symbiose toe te lichten. Waarde en co-creatie zijn volgens Mark de verbindingsankers. Nu IT-organisaties de rol van 'digital services provider' krijgen, is dit het moment om na te denken wat 'the best of both worlds' is. Het mooie bij ITIL4 is dat de exclusieve focus op processen is losgelaten en de bredere dimensies van servicemanagement centraal staan. Naast processen (gericht op waardestroom) zijn er nog drie dimensies: partners en leveranciers; organisatie en mensen en informatie en technologie. - Mark Smalley - Speaker at Smalley.IT Mark Smalley schrijft, spreekt en bouwt bruggen vanuit zijn eenmanszaak Smalley.IT in Ouderkerk aan de Amstel. Zijn achtergrond is in managed application services en hij heeft een brede belangstelling voor alles rondom digitale dienstverlening. Mark heeft recentelijk bijgedragen aan de ontwikkeling van Giarte's XLA Academy. Hij heeft meegeschreven aan frameworks zoals ASL, BiSL, BRM, COBIT, DevOps, IT4IT, ITIL en VeriSM en heeft erover gesproken in meer dan dertig landen. Zijn laatste boek was ITIL 4 High-velocity IT, bedoeld voor organisaties die strategisch gebruik maken van digitale technologie. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
De GIARTE Podcast
What's the current state of backend extensibility? How did PyTorch evolve from being a CPU and CUDA only framework to also support AMD ROCm and XLA? What are some problems with adding an out-of-tree backend, and what's some work to make it better?Further reading:Script for HIPifying PyTorch's source when enabling ROCm https://github.com/pytorch/pytorch/blob/master/tools/amd_build/build_amd.pyPyTorch/XLA https://github.com/pytorch/xla/Brian Hirsh's spec on what out-of-tree backend codegen looks like https://github.com/pytorch/xla/issues/2871
Agnostic Agile | Marco Gianotten in gesprek met Arie van Bennekum Al bijna twee decennia bestaat het Agile Manifesto. Bij het illustere gezelschap van de zeventien mede-auteurs zat één Europeaan, een Nederlander: Arie van Bennekum. Het aantal afgeleide methodes van het handvest is rond de twintig, waarvan Scrum, Kanban en SAFe nu de bekendste zijn. Geloofsbelijdenis kan doorslaan in sektarisme: "mijn agile is het echte agile". Wanneer je van een manifesto een bijbel gaat maken, begint het grote hijacken. Naar welke beginselen moeten we terug? Waarom is agile juist buiten softwareontwikkeling van belang? De oecumenische beweging naar Agnostic Agile is belangrijk voor de toekomst: alleen in co-creatie en focus op waarde kunnen we meters maken in moeilijk voorspelbare omgevingen. Agile is een organisatorische vaardigheid en juist NIET voorbehouden aan 1 discipline. Agnostisch staat voor 'het niet erkennen van een hogere macht als enige waarheid'. Met thought leader Arie van Bennekum praat ik in de podcast van Giarte over de kletspraat en kronieken van agile. - Arie van Bennekum - Thoughtleader bij IFAAI - Institute for Agility & Innovation Arie is a pragmatic who embeds his pragmatism in structure, discipline & common sense from his early days in the health care and the military forces up to where he is today. This eventually led to being one of the authors of the Agile Manifesto. Over the years Arie has become an expert on Agile transformations and Business Agility. Arie is working for Wemanity (www.wemanity.com) these days as thought leader and within Wemanity responsible for international transformations (across the globe) and works with an international team to get this done. Next to this work in Agile and Agile transformations Arie lectured at the Rotterdam University (20 years), Amsterdam (7 years) and Utrecht (3years) on topics such as Agile, (Agile) project management, Business value and Agile transformations. Arie developed the Agile transformation framework IATM. His IP is to be found at www.integratedagile.com and www.arievanbennekum.com. His first book is about how to handle change and objectives as an individual (#YouAreTheArchitectOfYourOwnLife) and his second book on Business Agility (#ReachingForBusinessAgility) is coming out soon. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
Merksterk in B2B IT | Marco Gianotten in gesprek met Jorge Labadie De 2020 top-5 van sterkste merken in de wereld zijn allemaal technologiebedrijven. Een sterk merk is herkenbaar én voelbaar. Ook in B2B. Het is een misvatting dat een merk in zakelijke IT niet emotioneel geladen hoeft te worden. Wat is het authentieke verhaal dat medewerkers inspireert, klanten prikkelt, nieuwe klanten aantrekt en influencers bindt? Disruptie fricking hurts en het digitale transformatiepad zit vol met valkuilen. Dan zoek je meer dan een partij die zichzelf aanprijst met 'uw partner in cloud solutions'. Je wilt betekenis, bezieling, betrokkenheid, betrouwbaarheid. In Nederland zijn er opkomende sterspelers als Broad Horizon, Conclusion, Ilionx, Macaw, Open Line, Schuberg Philis, Sentia en Wortell. Met merkendoker Jorge Labadie praat Marco Gianotten in de podcast van Giarte over deze merken en hoe je merken bouwt en laadt in de wondere wereld van zakelijke IT. - Jorge Labadie - Strategy director & owner of 37°Celsius Bij 37°Celsius stellen we bedrijven in staat om duurzaam succes te behalen met het merk als kompas. Dit doen we door een solide merkfundament te creëren, merkkennis over te dragen en zo jou in staat te stellen om vanuit het merk elke dag relevante vertalingen te kunnen maken naar alle facetten van de organisatie. - Marco Gianotten - Oprichter van Giarte In de wereld van IT zou het moeten gaan om de impact van technologie op mensen en business. Aan 'helaas pindakaas' heb je niets. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset. Meer weten? Bezoek onze website, of volg onze LinkedIn pagina.
In deze wekelijkse podcast praat Marco Gianotten, oprichter van Giarte, met een onbezongen held; mensen met visie, niet-alledaagse meningen in de wereld van IT én de nodige zelfspot. Giarte ontwerpt, meet, verbetert en verankert klantbeleving en waardesturing. We zijn grondlegger en aanjager van XLA als mindset, skillset en toolset.
1983-11-06 Chung Thiền Ở Nơi Xứ Lạnh. Montréal. ~~~ #0581 Chung Thiền Ở Nơi Xứ Lạnh ~~~ Bộ sưu tập 1250 bài vấn đạo và thuyết giảng về Pháp Lý Vô Vi Khoa học Huyền bí Phật pháp của Thiền Sư Lương Sĩ Hằng (Vĩ Kiên). Sưu tầm: Bạn đạo LVG+PNQ, hoàn thành năm 2017. Được tải lên các ứng dụng nghe podcast phổ biến như Spotify, Castbox, v.v... Download mục lục đầy đủ: https://linktr.ee/vovibaby8 Lưu ý: Các băng vấn đạo hoặc cắt/gom lại theo đề tài chỉ sử dụng để nghe/nghiên cứu ngoài giờ công phu. Khi vào giờ công phu, hành giả cần nghe băng niệm Phật hoặc những băng giảng dẫn thiền trọn vẹn của Đức Thầy trong êm dịu và liền mạch.
Following the recent release of the Practical Guide to XLAs, Sami and Pasi start discussing the chapter XLA vs SLA and the key differences between the two. ----------------------------------------------- Topics Covered in this episode: The key differences between XLAs and SLAs What really SLAs are How XLAs compare to SLAs Plus, Read our The Practical Guide to XLAs. ------------------------------------------------- XLA Partners CitrusCollab Bright Horse Giarte ------------------------------------------------- About HappySignals HappySignals is an Employee Experience Management platform for IT that makes experience data visible, understandable, and connected to operational data in IT, enabling enterprises to change their culture to be more open, outcome-focused, and data-driven. Established in 2014 and based in Helsinki, Finland, HappySignals discovers the experiences of over 2 million employees in 130 countries. Our customers have been able to make employees happier and increase productivity by 26% on average. ------------------------------------------------ Keep in contact Facebook: https://www.facebook.com/HappySignalsLtd LinkedIn: https://www.linkedin.com/company/happysignals/ Twitter: @HappySignalsLtd
Pasi is joined by TOPdesk Service Management Consultant, Hannah Price. In this episode, Hannah and Pasi discuss the importance of tailoring XLAs to an organization as well as bringing the customer into the conversation to truly impact the customer experience. ---------------------------------------------- Topics Covered in this episode: Why XLAs need to be tailored to an organization Bringing customers into the XLA conversation ------------------------------------------------- Hannah Price Hannah has been working for TOPdesk for over seven years, helping clients implement ideas on-premises and SaaS solutions, as well as designing and optimizing their processes. As well as this, Hannah is a frequent blog writer in the ITSM industry, including her article for ITSM.tools - What exactly are XLAs and how do you use them? Read more of Hannah's Blogs: TOPdesk ITSMtools Find Hannah on LinkedIn ------------------------------------------------- About HappySignals HappySignals is an Employee Experience Management platform for IT that makes experience data visible, understandable, and connected to operational data in IT, enabling enterprises to change their culture to be more open, outcome-focused, and data-driven. Established in 2014 and based in Helsinki, Finland, HappySignals discovers the experiences of over 2 million employees in 130 countries. Our customers have been able to make employees happier and increase productivity by 26% on average. ------------------------------------------------ Keep in contact Facebook: https://www.facebook.com/HappySignalsLtd LinkedIn: https://www.linkedin.com/company/happysignals/ Twitter: @HappySignalsLtd
In the fourth episode of 'Transplant Chats With Eliza', we will hear about what it's like to be Pre and Post Transplant. We will be chatting to Today Simon Gach who had a double lung transplant in 2016. At the age of seven Simon was diagnosed with XLA, a rare genetic condition. This meant he couldn't make antibody cells. As a consequence this led to years of severe lung infections and a lung capacity of just 20%. Now, four years post transplant we will be chatting to Simon about his story in his own words as well as learning the realities of post transplant life. - How to cope with waiting on the list as a lung transplant patient.
John Boyle was diagnosed with X-linked agammaglobulinemia (XLA) in 1978, when he was just six months old. On today’s episode, John and I talk about the routine management of his condition that allows him to live with minimal symptoms, and how taking care of his health was instilled in him at an early age. We also talk about his work with the Immune Deficiency Foundation, and why, after years of being attuned to his physical health, he realized it was time to give some attention to his mental health, too. Learn more about John and check out the show notes here. Follow Made Visible on Instagram. We want to learn more about you! Tell us about you and what got you listening to Made Visible here.
Pasi and Sami discuss the key benefits of Experience Level Agreements, as well as giving real-life examples on how XLAs are used or can be applied to everyday scenarios. Top 5 benefits of XLAs: XLAs measure the value of the Service Desk from the perspective of the business XLA measurement boosts cooperation A more motivated Service Desk team Drives business value Moving target - in a positive way ------ About this podcast This is a podcast for those who want to improve service experience of internal services in large enterprises. If you use ServiceNow or other enterprise service management system, then this is for you. ----- About HappySignals HappySignals make experience data visible, understandable and connected to operational data in IT, enabling enterprises to change their culture to be more open, outcome focused and data-driven. This saves time and money. Our customers have been able to make employees happier and increase productivity by 26%. This is why we exist. Find out more here: https://www.happysignals.com/
"Most people understand XLAs as focusing on the outcomes and experience-based outcomes" Experience Level Agreements are an ever growing topic in ITSM. However, the term has never been given a single definition for the industry to follow. Pasi and Sami round up a variety of definitions, from many different organisations across the world, to bring to you the baseline of what an XLA is. ------ About this podcast This is a podcast for those who want to improve service experience of internal services in large enterprises. If you use ServiceNow or other enterprise service management system, then this is for you. ----- About HappySignals HappySignals make experience data visible, understandable and connected to operational data in IT, enabling enterprises to change their culture to be more open, outcome focused and data-driven. This saves time and money. Our customers have been able to make employees happier and increase productivity by 26%. This is why we exist. Find out more here: https://www.happysignals.com/
We are joined once again by Magdalena Dziadzio and John Dempster to discuss Secondary Immunodeficiencies. The immunology team supports patients following treatments such as Rituximab, CAR T-cells, Ibrutinib and autologous stem cell transplantation, due to the long term effects on their antibody production. John talks about how patients can self administer immunoglobulin therapy at home due to recent advances in subcutaneous routing. Our discussion also touches on XLA, HIV and Hepititis C.
Repasamos como cada semana, las mejores novedades. Flash Año Uno Batman Superman Generaciones Pierre Nodoyuna y Patán Umbrella Academy #3 Fearscape Estela Plateada Negro Dinastía y Potencias de X La historia del Universo Marvel Jane Foster Valquiria La Mazmorra Gideon Falls #2 El Hijo del diablo My Home Hero Punk Mambo Spirou y Fantasio Integral Franquin 5 Los Mitos de Cthulhu
Repasamos como cada semana, las mejores novedades. Flash Año Uno Batman Superman Generaciones Pierre Nodoyuna y Patán Umbrella Academy #3 Fearscape Estela Plateada Negro Dinastía y Potencias de X La historia del Universo Marvel Jane Foster Valquiria La Mazmorra Gideon Falls #2 El Hijo del diablo My Home Hero Punk Mambo Spirou y Fantasio Integral Franquin 5 Los Mitos de Cthulhu
It's so good to be back again for another new episode! This week my friend Michael sat down with me to discuss a parable of how God is working in his life through a medical condition called XLA that negatively affects his immune system. Please join Michael and me as we dig into the parallels between the blood transfusions those like Michael with XLA, who need the blood sacrifice of others to live healthy lives, and how that compares to what the Lord offers us all through the blood of His son. Don't forget to subscribe! You can find me on Instagram, @leastlikelycast, and Twitter, @Taytabie.
Download onze shownotes De mens maakt technologie, en de technologie maakt de mens. We hebben enorme macht over onze wereld gekregen door technologie, en zijn er vaak van afhankelijk. Hoe gemakkelijk we technologie gebruiken in ons dagelijks leven is bepalend voor ons succes in werk en leven. In deze aflevering kijken we naar het gebruiksgemak en de beleving van de techniek. De vaardigheid om een prettige beleving te creëren maakt een enorm success van bijvoorbeeld Netflix en Apple. Toch slagen veel ICT bedrijven er niet in om deze prettige beleving te vertalen naar de werkplek die we dagelijks gebruiken. De servicedesk moet er nog regelmatig aan te pas komen. Wat ligt er aan ten grondslag dat de IT op werk complexer en minder prettige te gebruiken is dat de IT thuis? En wat kan een bedrijf doen om niet alleen de beste techniek, maar ook de beste beleving in te kopen voor haar medewerkers? Luister mee! We kijken naar wat de belangrijke aspecten van beleving zijn, en hoe dit meetbaar en stuurbaar te maken is in een klant-leverancier relatie. Download onze shownotes
Kryptohelden - Bitcoin, Ethereum & Co meistern - ohne Hektik!
Xla ist Software Entwickler seit über 10 Jahren und arbeitete lange Zeit an verteilten Systemen und Infrastruktur bei Soundcloud. Nachdem er mehrere Jahre Systeme für verschiedene Startups konzipiert und implementiert hat ist er heute bei Tendermint Core. Behandelte Themen: * Was ist Tendermint * Was der Unterschied zwischen Tendermint und Cosmos * Was "PBFT" bedeutet * Warum Cosmos sein eigenes Hundefutter isst * Wer der beste CTO war, mit dem xla jemals gearbeitet hat * Was der grundlegende Unterschied zwischen Web 2.0 und Web 3.0 Architektur ist * Warum viele zentralisierte Plattformen uns manipulieren * Was das ganze mit Spieltheorie und Governance zu tun hat
Joseph Achakji alias XLA parle de son cheminement d’artiste multidisciplinaire à Maryse Jobin.
Capítulo #2 Como ya es habitual os traemos las noticias más importantes de la semana y repasamos los ganadores de los premios Harvey de este año. En novedades traemos nuestra primera sección mensual en la que hablamos con Ignacio Sánchez nuestro librero de Generación X La rozas, que nos destacará los cómics más jugosos de su tienda. Hablamos también de los dos últimos eventos de Marvel y DC, Infinito y Maldad Eterna, respectivamente y los ponemos a juicio. Jose nos trae otra sección que será mensual y hablará de cómics viejunos. En este caso repasará los cómics de Vampirella. Por si fuera poco comentamos vuestros mensajes dejados en las redes. Que lo disfrutéis! Muchísimas gracias por escucharnos! Síguenos @TomosyGrapas http://www.tomosygrapas.wordpress.com
Capítulo #2 Como ya es habitual os traemos las noticias más importantes de la semana y repasamos los ganadores de los premios Harvey de este año. En novedades traemos nuestra primera sección mensual en la que hablamos con Ignacio Sánchez nuestro librero de Generación X La rozas, que nos destacará los cómics más jugosos de su tienda. Hablamos también de los dos últimos eventos de Marvel y DC, Infinito y Maldad Eterna, respectivamente y los ponemos a juicio. Jose nos trae otra sección que será mensual y hablará de cómics viejunos. En este caso repasará los cómics de Vampirella. Por si fuera poco comentamos vuestros mensajes dejados en las redes. Que lo disfrutéis! Muchísimas gracias por escucharnos! Síguenos @TomosyGrapas http://www.tomosygrapas.wordpress.com
In this episode of GHR we give our take on the NXE (New Xbox Experience), as well as all of the latest news. Like why the Wii can't attract hardcore developers, some Sony movies don't get the go ahead for Netflix stream feature on the NXE, and Streetfighter HD remix is coming to the XLA. All that and more on this episode of GHR.
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