Podcasts about factbook

Visit my Logos Partner Page for an extended free trial (get an extra month free):https://www.diveindigdeep.com/blog/recommendations/logos-partner-offerScript:Imagine having everything you need for Bible study, including your personal library, searchable and accessible with a keystroke. This is Logos – a powerful and comprehensive Bible study platform designed for those who want to deeply explore and engage with God's Word.Seamless AccessLogos offers seamless access to all the resources you need for in-depth study. While I often visit various websites to aid me in my Bible study, Logos provides everything I need in one place. This saves me time, eliminating the need to jump between different helps like Bible translations, dictionaries, commentaries, and original language tools.As you expand both your physical and digital library, Logos becomes even more valuable. It's a worthwhile investment, as they offer free eBooks and significant discounts on publishers, authors, topics, individual titles, and even entire libraries throughout the year. Plus, any books or libraries you purchase are yours to keep forever, even if you decide to pause or cancel your subscription.Indispensable FeaturesAs a layperson without formal seminary training, Logos has become indispensable to me. It has greatly improved my sermon preparation and Sunday School lessons. It has also enriched my personal Bible study, making me more confident as I preach, teach, and study Scripture.One of my favorite features is the Factbook, which functions like an encyclopedia, that draws from a combination of Logos provided data and resources in your Library. This makes it incredibly easy to search for nearly any biblical or theological term.Engage with God's WordLogos will change how you engage with God's Word, and is the gold standard resource for those who want to dive in and dig deep into Scripture.Shownotes:https://www.diveindigdeep.com/blog/recommendations/logosLinks:https://www.diveindigdeep.com/https://newsletter.diveindigdeep.com/https://www.instagram.com/diveindigdeephttps://www.youtube.com/@soundwordsfm https://podcasters.spotify.com/pod/show/soundwords

Hosted in coordination with the House and Senate Renewable Energy and Energy Efficiency Caucuses and the Sustainable Energy and Environment Coalition. The Environmental and Energy Study Institute (EESI) and the Business Council for Sustainable Energy (BCSE) held a briefing about the 13th edition of the Sustainable Energy in America Factbook. The Factbook provides valuable year-over-year data and insights on the U.S. energy transformation, featuring an in-depth look at the energy efficiency, renewable energy, and natural gas sectors, as well as transmission, digitalization, microgrids, offshore wind, hydrogen, and renewable natural gas. This year, the Factbook dives into the growing energy demand driven by data centers and artificial intelligence. It examines trends in clean energy supply chains, growth in domestic manufacturing, and the ways in which permitting and siting impact the deployment of renewable energy. Panelists spoke to key takeaways from the 2025 Factbook and what they mean for industries working in all facets of the energy transition. The Factbook, published by BloombergNEF and BCSE, launched on February 20, and is available to download for free at www.bcse.org/factbook.

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On this episode: Ohio's ballot measure history is shaped by constitutional debates, major policy shifts, and battles over direct democracy. The 1912 constitutional convention laid the foundation for the state's initiative and referendum process, fueling a surge in ballot activity. The 1919 referendum on Prohibition attempted to overturn the state legislature's ratification of the 18th Amendment—leading to a landmark U.S. Supreme Court ruling. Decades later, constitutional revisions in the 1970s reshaped governance, while food tax bans and crime victim rights amendments reflected shifting voter priorities. From right-to-work laws to modern debates on constitutional amendment thresholds, Ohio's ballot measures tell a story of ongoing legal and political evolution.Explore Ohio's Factbook: https://ballotpedia.org/Ohio_Ballot_Measures:_Historical_Ballot_Measures_Factbook Sign up for our Newsletters: https://ballotpedia.org/Ballotpedia_Email_Updates Stream "On the Ballot" on Spotify or wherever you listen to podcasts. If you have questions, comments, or love for BP, feel free to reach out at ontheballot@ballotpedia.org or on X (formerly Twitter) @Ballotpedia.*On The Ballot is a conversational podcast featuring interviews with guests across the political spectrum. The views and opinions expressed by them are solely their own and are not representative of the views of the host or Ballotpedia as a whole.

“The economic information on clean energy is amazing…We're decades deep in it now, where you're seeing the cost competitiveness of renewable technologies on an unsubsidized basis…We can do this. We can grow the economy and we can use more clean energy.” Lisa Jacobson on Electric Ladies Podcast The facts in the new Sustainable Energy 2024 Factbook, by the Business Council for Sustainable Energy and Bloomberg New Energy Finance, show that the transition to a clean energy economy is well underway, and resilient, despite “headwinds” like covid, high interest rates, supply chain issues and political pressures. How? Listen to Lisa Jacobson, President of the Business Council for Sustainable Energy and Tara Narayanan, Lead Analyst at Bloomberg New Energy Finance, explain where we are in this transition in this fascinating discussion with Electric Ladies host Joan Michelson.  You'll hear about: Where we're at in the energy transition and what the trends are The impact of the new trifecta of federal legislation – the Inflation Reduction Act, the Infrastructure Investment Act and the CHIPS and Science Act. The energy mix we need, including renewables, to power our complex economy Dispelling myths about the energy transition and energy sources Plus, insightful career advice, such as… “Think about your career as a business…Try to always have a mindset of kind of what I want first…What organizations do I want to work with? Where, what kind of responsibilities do I want to have? And maybe I do it through a traditional employer employee relationship, or maybe I just branch out on my own and just do it right? And I feel like women should feel empowered to do that and to be that kind of proactive thinking. And don't be afraid.” Lisa Jacobson on Electric Ladies Podcast Read Joan's Forbes article about this new report here and more of her articles here too. You'll also like: Inna Braverman, Founder/CEO of Eco Wave Power, on how wave power works and her powerful personal story that reflects today's geopolitical dynamics. Melissa Lott, Ph.D., Director of Research at the Center for Global Energy Policy at Columbia University, and the lead scientists in the PBS/NOVA documentary “Chasing Carbon Zero.” Vanessa Chan, Ph.D., Chief Commercialization Officer of the Department of Energy and Director of the Office of Technology Transitions, on the Inflation Reduction Act and the transition to clean energy. Halla Hrund Logadottir, Director-General, Iceland's National Energy Authority, on how the country has become 85% renewable energy. Sarah Golden, VP of Energy, Greenbiz, on geothermal, how it works and why it's growing exponentially Subscribe to our newsletter to receive our podcasts, blog, events and special coaching offers.. Thanks for subscribing on Apple Podcasts or iHeartRadio and leaving us a review! Follow us on Twitter @joanmichelson

Welcome back to Experts Only for our annual interview about the 2024 Sustainable Energy in America Factbook! Our host Jon Powers welcomes Lisa Jacobson, President of the Business Council for Sustainable Energy (BCSE), back to the show for her 7th appearance! He also welcomed Tara Narayanan, Lead Analyst, US Regional Trends at BloombergNEF, for her inaugural interview! They discuss the Factbook, which is published by the BCSE, in partnership with BloombergNEF. This Factbook is the best compilation of data in our industry in terms of investment, manufacturing, production, mobility, and more. You can download the Factbook at https://bcse.org/market-trends/. Thanks for listening!

Hosted in coordination with the House and Senate Renewable Energy and Energy Efficiency Caucuses, the Conservative Climate Caucus, and the Sustainable Energy and Environment Coalition. The Environmental and Energy Study Institute (EESI) and the Business Council for Sustainable Energy (BCSE) held a briefing about the 12th edition of the Sustainable Energy in America Factbook. The Factbook provides valuable year-over-year data and insights on the U.S. energy transformation, with an in-depth look at the energy efficiency, renewable energy, and natural gas sectors, as well as transmission, digitalization, micro-grids, offshore wind, hydrogen, renewable natural gas, and more. Panelists explored the impact of supply chain trends as well as permitting and siting processes on U.S. clean energy deployment. They also highlighted investment figures resulting from the bipartisan Infrastructure Investment and Jobs Act and the Inflation Reduction Act. The Factbook, published by BloombergNEF and BCSE, launched on February 21, and is available to download for free at www.bcse.org/factbook. 

Get weekly tips from Gary Brecka on how to optimize your health and lifestyle routines - go to https://www.theultimatehuman.com/ For more info on Gary, please click here: ⁠⁠https://linktr.ee/thegarybrecka Order The 1 Genetic Test That Will Give You Results For Life Here: ⁠⁠⁠https://10xhealthnetwork.com/pages/genetic-testing?utm_source=gbrecka⁠⁠ Get The Supplements That Gary Recommends Here: ⁠⁠⁠⁠⁠⁠⁠https://10xhealthnetwork.com/pages/supplements?utm_source=gbrecka Sign up for 10X Health Affiliate Program https://10xhealthsystem.com/GBaffiliate ECHO GO PLUS HYDROGEN WATER BOTTLE https://echoh2o.com/?oid=19&affid=236 BODY HEALTH - USE CODE ULTIMATE10 for 10% OFF YOUR ORDER https://bodyhealth.com/ultimate Links to Studies Mentioned: Britannica. Lipids Nutrients 2023, 15(14), 3129; doi: 10.3390/nu15143129 Open Oregon. Fatty Acid Types and Food Sources Science Direct. Fatty Acids Cells. 2021 Jun; 10(6): 1284 Mount Sinai. EPA Heart & Stroke February 6, 2021 J Political Econ. 1930;38(1):73-85 Smithsonian Magazine November 23, 2019 “Profiling Food Consumption in America.” USDA Economic Research Service, Factbook, Chapter 2. ND Atkins History Science Direct. Fatty Acids Cells. 2021 Jun; 10(6): 1284 What if the real culprit behind chronic illness was actually a hidden hazard in your cooking? Gary Brecka uncovers the truth about seed oils that the food industry doesn't talk about. Seed oils are found in nearly every processed food and are silently sabotaging our health. Did you know that seed oils originated in the late 1800's when machine lubricants were hydrogenated into synthetic oils like Crisco? He dives into the “dirty eight” oils to avoid and what alternatives that you can replace them with! 0:00 - What are the two types of fats and how do the impact our bodies? 03:15 - Where did seed oils come from? 04:45 - What are some of the side effects of too many seed oils in your diet? 09:30 - What are the 8 most unhealthy seed oils? 10:45 - What should you have in your kitchen to replace seed oils? Gary Brecka: @garybrecka The Ultimate Human: @ultimatehumanpod Subscribe on YouTube: @ultimatehumanpodcast The Ultimate Human with Gary Brecka Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions. Learn more about your ad choices. Visit megaphone.fm/adchoices

In einem schwierigen M&A-Markt wird die sorgfältige Aufbereitung der Unterlagen für den Verkäufer noch wichtiger. Welche Rolle spielt dabei das Vendor Factbook? Darüber haben wir in unserem aktuellen Podcast mit zwei Due-Diligence-Profis gesprochen.

El acto de clausura de la Cumbre del Futuro tiene un final inesperado.  Mientras los asesores de los presidentes del G7, aterrorizados, intentan averiguar quién ha causado el problema y cómo solucionarlo, el lector contempla a distintos personajes en diferentes escenarios y situaciones, pero que tiene algo en común: todos escuchan un extraño ruido cuyo origen desconocen. Este sonido provoca en ellos distintos efectos y les lleva a replantearse sus vidas y sus convicciones éticas en un mundo que parece desmoronarse por momentos.Diego Sánchez Aguilar, profesor, ensayista, poeta y cuentista, ganó el premio Setenil con un libro de relatos en 2016 y dos años después, nos visitó aquí en la Torre de babel, con Factbook. El libro de los hechos, publicado por la Editorial Candaya.Ahora, vuelve con Candaya a la torre de Babel con una monumental novela, “Los que escuchan”, que es uno de los grandes lanzamientos entre las editoriales independientes este año.

Available NOW to download!Hello and Welcome to The Thirteen Hour Life Coach Podcast with guest Ron Sterling MD.Ron Sterling is a neuroscientist, author of the "Adult ADD Factbook", writer and consultant.Ron explains about Dopamine, how threat affects ADD, Parkinsons is end-stage ADD, working memory makes you think deeper and much more all from over 30,000 pages of journal LIT research on ADD.It is a very interesting episode and we both hope you can listen in today!

Latent Space is popping off! Welcome to the over 8500 latent space explorers who have joined us. Join us this month at various events in SF and NYC, or start your own!This post spent 22 hours at the top of Hacker News.As announced during their Developer Day celebrating their $100m fundraise following their Google partnership, Replit is now open sourcing its own state of the art code LLM: replit-code-v1-3b (model card, HF Space), which beats OpenAI's Codex model on the industry standard HumanEval benchmark when finetuned on Replit data (despite being 77% smaller) and more importantly passes AmjadEval (we'll explain!)We got an exclusive interview with Reza Shabani, Replit's Head of AI, to tell the story of Replit's journey into building a data platform, building GhostWriter, and now training their own LLM, for 22 million developers!8 minutes of this discussion go into a live demo discussing generated code samples - which is always awkward on audio. So we've again gone multimodal and put up a screen recording here where you can follow along on the code samples!Recorded in-person at the beautiful StudioPod studios in San Francisco.Full transcript is below the fold. We would really appreciate if you shared our pod with friends on Twitter, LinkedIn, Mastodon, Bluesky, or your social media poison of choice!Timestamps* [00:00:21] Introducing Reza* [00:01:49] Quantitative Finance and Data Engineering* [00:11:23] From Data to AI at Replit* [00:17:26] Replit GhostWriter* [00:20:31] Benchmarking Code LLMs* [00:23:06] AmjadEval live demo* [00:31:21] Aligning Models on Vibes* [00:33:04] Beyond Chat & Code Completion* [00:35:50] Ghostwriter Autonomous Agent* [00:38:47] Releasing Replit-code-v1-3b* [00:43:38] The YOLO training run* [00:49:49] Scaling Laws: from Kaplan to Chinchilla to LLaMA* [00:52:43] MosaicML* [00:55:36] Replit's Plans for the Future (and Hiring!)* [00:59:05] Lightning RoundShow Notes* Reza Shabani on Twitter and LinkedIn* also Michele Catasta and Madhav Singhal* Michele Catasta's thread on the release of replit-code-v1-3b* Intro to Replit Ghostwriter* Replit Ghostwriter Chat and Building Ghostwriter Chat* Reza on how to train your own LLMs (their top blog of all time)* Our Benchmarks 101 episode where we discussed HumanEval* AmjadEval live demo* Nat.dev* MosaicML CEO Naveen Rao on Replit's LLM* MosaicML Composer + FSDP code* Replit's AI team is hiring in North America timezone - Fullstack engineer, Applied AI/ML, and other roles!Transcript[00:00:00] Alessio Fanelli: Hey everyone. Welcome to the Latent Space podcast. This is Alessio, partner and CTO in residence at Decibel Partners. I'm joined by my co-host, swyx, writer and editor of Latent Space.[00:00:21] Introducing Reza[00:00:21] swyx: Hey and today we have Reza Shabani, Head of AI at Replit. Welcome to the studio. Thank you. Thank you for having me. So we try to introduce people's bios so you don't have to repeat yourself, but then also get a personal side of you.[00:00:34] You got your PhD in econ from Berkeley, and then you were a startup founder for a bit, and, and then you went into systematic equity trading at BlackRock in Wellington. And then something happened and you were now head of AI at Relet. What should people know about you that might not be apparent on LinkedIn?[00:00:50] One thing[00:00:51] Reza Shabani: that comes up pretty often is whether I know how to code. Yeah, you'd be shocked. A lot of people are kind of like, do you know how to code? When I was talking to Amjad about this role, I'd originally talked to him, I think about a product role and, and didn't get it. Then he was like, well, I know you've done a bunch of data and analytics stuff.[00:01:07] We need someone to work on that. And I was like, sure, I'll, I'll do it. And he was like, okay, but you might have to know how to code. And I was like, yeah, yeah, I, I know how to code. So I think that just kind of surprises people coming from like Ancon background. Yeah. Of people are always kind of like, wait, even when people join Relet, they're like, wait, does this guy actually know how to code?[00:01:28] Is he actually technical? Yeah.[00:01:30] swyx: You did a bunch of number crunching at top financial companies and it still wasn't[00:01:34] Reza Shabani: obvious. Yeah. Yeah. I mean, I, I think someone like in a software engineering background, cuz you think of finance and you think of like calling people to get the deal done and that type of thing.[00:01:43] No, it's, it's not that as, as you know, it's very very quantitative. Especially what I did in, in finance, very quantitative.[00:01:49] Quantitative Finance and Data Engineering[00:01:49] swyx: Yeah, so we can cover a little bit of that and then go into the rapid journey. So as, as you, as you know, I was also a quantitative trader on the sell side and the buy side. And yeah, I actually learned Python there.[00:02:01] I learned my, I wrote my own data pipelines there before airflow was a thing, and it was just me writing running notebooks and not version controlling them. And it was a complete mess, but we were managing a billion dollars on, on my crappy code. Yeah, yeah. What was it like for you?[00:02:17] Reza Shabani: I guess somewhat similar.[00:02:18] I, I started the journey during grad school, so during my PhD and my PhD was in economics and it was always on the more data intensive kind of applied economic side. And, and specifically financial economics. And so what I did for my dissertation I recorded cnbc, the Financial News Network for 10 hours a day, every day.[00:02:39] Extracted the close captions from the video files and then used that to create a second by second transcript of, of cmbc, merged that on with high frequency trading, quote data and then looked at, you know, went in and did some, some nlp, tagging the company names, and and then looked at the price response or the change in price and trading volume in the seconds after a company was mentioned.[00:03:01] And, and this was back in. 2009 that I was doing this. So before cloud, before, before a lot of Python actually. And, and definitely before any of these packages were available to make this stuff easy. And that's where, where I had to really learn to code, like outside of you know, any kind of like data programming languages.[00:03:21] That's when I had to learn Python and had to learn all, all of these other skills to work it with data at that, at that scale. So then, you know, I thought I wanted to do academia. I did terrible on the academic market because everyone looked at my dissertation. They're like, this is cool, but this isn't economics.[00:03:37] And everyone in the computer science department was actually way more interested in it. Like I, I hung out there more than in the econ department and You know, didn't get a single academic offer. Had two offer. I think I only applied to like two industry jobs and got offers from both of them.[00:03:53] They, they saw value in it. One of them was BlackRock and turned it down to, to do my own startup, and then went crawling back two and a half years later after the startup failed.[00:04:02] swyx: Something on your LinkedIn was like you're trading Chinese news tickers or something. Oh, yeah. I forget,[00:04:07] Reza Shabani: forget what that was.[00:04:08] Yeah, I mean oh. There, there was so much stuff. Honestly, like, so systematic active equity at, at BlackRock is, was such an amazing. Group and you just end up learning so much and the, and the possibilities there. Like when you, when you go in and you learn the types of things that they've been trading on for years you know, like a paper will come out in academia and they're like, did you know you can use like this data on searches to predict the price of cars?[00:04:33] And it's like, you go in and they've been trading on that for like eight years. Yeah. So they're, they're really ahead of the curve on, on all of that stuff. And the really interesting stuff that I, that I found when I went in was all like, related to NLP and ml a lot of like transcript data, a lot of like parsing through the types of things that companies talk about, whether an analyst reports, conference calls, earnings reports and the devil's really in the details about like how you make sense of, of that information in a way that, you know, gives you insight into what the company's doing and, and where the market is, is going.[00:05:08] I don't know if we can like nerd out on specific strategies. Yes. Let's go, let's go. What, so one of my favorite strategies that, because it never, I don't think we ended up trading on it, so I can probably talk about it. And it, it just kind of shows like the kind of work that you do around this data.[00:05:23] It was called emerging technologies. And so the whole idea is that there's always a new set of emerging technologies coming onto the market and the companies that are ahead of that curve and stay up to date on on the latest trends are gonna outperform their, their competitors.[00:05:38] And that's gonna reflect in the, in the stock price. So when you have a theory like that, how do you actually turn that into a trading strategy? So what we ended up doing is, well first you have to, to determine what are the emergent technologies, like what are the new up and coming technologies.[00:05:56] And so we actually went and pulled data on startups. And so there's like startups in Silicon Valley. You have all these descriptions of what they do, and you get that, that corpus of like when startups were getting funding. And then you can run non-negative matrix factorization on it and create these clusters of like what the various Emerging technologies are, and you have this all the way going back and you have like social media back in like 2008 when Facebook was, was blowing up.[00:06:21] And and you have things like mobile and digital advertising and and a lot of things actually outside of Silicon Valley. They, you know, like shale and oil cracking. Yeah. Like new technologies in, in all these different types of industries. And then and then you go and you look like, which publicly traded companies are actually talking about these things and and have exposure to these things.[00:06:42] And those are the companies that end up staying ahead of, of their competitors. And a lot of the the cases that came out of that made a ton of sense. Like when mobile was emerging, you had Walmart Labs. Walmart was really far ahead in terms of thinking about mobile and the impact of mobile.[00:06:59] And, and their, you know, Sears wasn't, and Walmart did well, and, and Sears didn't. So lots of different examples of of that, of like a company that talks about a new emerging trend. I can only imagine, like right now, all of the stuff with, with ai, there must be tons of companies talking about, yeah, how does this affect their[00:07:17] swyx: business?[00:07:18] And at some point you do, you do lose the signal. Because you get overwhelmed with noise by people slapping a on everything. Right? Which is, yeah. Yeah. That's what the Long Island Iced Tea Company slaps like blockchain on their name and, you know, their stock price like doubled or something.[00:07:32] Reza Shabani: Yeah, no, that, that's absolutely right.[00:07:35] And, and right now that's definitely the kind of strategy that would not be performing well right now because everyone would be talking about ai. And, and that's, as you know, like that's a lot of what you do in Quant is you, you try to weed out other possible explanations for for why this trend might be happening.[00:07:52] And in that particular case, I think we found that, like the companies, it wasn't, it wasn't like Sears and Walmart were both talking about mobile. It's that Walmart went out of their way to talk about mobile as like a future, mm-hmm. Trend. Whereas Sears just wouldn't bring it up. And then by the time an invest investors are asking you about it, you're probably late to the game.[00:08:12] So it was really identifying those companies that were. At the cutting edge of, of new technologies and, and staying ahead. I remember like Domino's was another big one. Like, I don't know, you[00:08:21] swyx: remember that? So for those who don't know, Domino's Pizza, I think for the run of most of the 2010s was a better performing stock than Amazon.[00:08:29] Yeah.[00:08:31] Reza Shabani: It's insane.[00:08:32] swyx: Yeah. Because of their investment in mobile. Mm-hmm. And, and just online commerce and, and all that. I it must have been fun picking that up. Yeah, that's[00:08:40] Reza Shabani: that's interesting. And I, and I think they had, I don't know if you, if you remember, they had like the pizza tracker, which was on, on mobile.[00:08:46] I use it[00:08:46] swyx: myself. It's a great, it's great app. Great app. I it's mostly faked. I think that[00:08:50] Reza Shabani: that's what I heard. I think it's gonna be like a, a huge I don't know. I'm waiting for like the New York Times article to drop that shows that the whole thing was fake. We all thought our pizzas were at those stages, but they weren't.[00:09:01] swyx: The, the challenge for me, so that so there's a, there's a great piece by Eric Falkenstein called Batesian Mimicry, where every signal essentially gets overwhelmed by noise because the people who wants, who create noise want to follow the, the signal makers. So that actually is why I left quant trading because there's just too much regime changing and like things that would access very well would test poorly out a sample.[00:09:25] And I'm sure you've like, had a little bit of that. And then there's what was the core uncertainty of like, okay, I have identified a factor that performs really well, but that's one factor out of. 500 other factors that could be going on. You have no idea. So anyway, that, that was my existential uncertainty plus the fact that it was a very highly stressful job.[00:09:43] Reza Shabani: Yeah. This is a bit of a tangent, but I, I think about this all the time and I used to have a, a great answer before chat came out, but do you think that AI will win at Quant ever?[00:09:54] swyx: I mean, what is Rentech doing? Whatever they're doing is working apparently. Yeah. But for, for most mortals, I. Like just waving your wand and saying AI doesn't make sense when your sample size is actually fairly low.[00:10:08] Yeah. Like we have maybe 40 years of financial history, if you're lucky. Mm-hmm. Times what, 4,000 listed equities. It's actually not a lot. Yeah, no, it's,[00:10:17] Reza Shabani: it's not a lot at all. And, and constantly changing market conditions and made laden variables and, and all of, all of that as well. Yeah. And then[00:10:24] swyx: retroactively you're like, oh, okay.[00:10:26] Someone will discover a giant factor that, that like explains retroactively everything that you've been doing that you thought was alpha, that you're like, Nope, actually you're just exposed to another factor that you're just, you just didn't think about everything was momentum in.[00:10:37] Yeah. And one piece that I really liked was Andrew Lo. I think he had from mit, I think he had a paper on bid as Spreads. And I think if you, if you just. Taken, took into account liquidity of markets that would account for a lot of active trading strategies, alpha. And that was systematically declined as interest rates declined.[00:10:56] And I mean, it was, it was just like after I looked at that, I was like, okay, I'm never gonna get this right.[00:11:01] Reza Shabani: Yeah. It's a, it's a crazy field and I you know, I, I always thought of like the, the adversarial aspect of it as being the, the part that AI would always have a pretty difficult time tackling.[00:11:13] Yeah. Just because, you know, there's, there's someone on the other end trying to out, out game you and, and AI can, can fail in a lot of those situations. Yeah.[00:11:23] swyx: Cool.[00:11:23] From Data to AI at Replit[00:11:23] Alessio Fanelli: Awesome. And now you've been a rep almost two years. What do you do there? Like what does the, the team do? Like, how has that evolved since you joined?[00:11:32] Especially since large language models are now top of mind, but, you know, two years ago it wasn't quite as mainstream. So how, how has that evolved?[00:11:40] Reza Shabani: Yeah, I, so when I joined, I joined a year and a half ago. We actually had to build out a lot of, of data pipelines.[00:11:45] And so I started doing a lot of data work. And we didn't have you know, there, there were like databases for production systems and, and whatnot, but we just didn't have the the infrastructure to query data at scale and to process that, that data at scale and replica has tons of users tons of data, just tons of ripples.[00:12:04] And I can get into, into some of those numbers, but like, if you wanted to answer the question, for example of what is the most. Forked rep, rep on rep, you couldn't answer that back then because it, the query would just completely time out. And so a lot of the work originally just went into building data infrastructure, like modernizing the data infrastructure in a way where you can answer questions like that, where you can you know, pull in data from any particular rep to process to make available for search.[00:12:34] And, and moving all of that data into a format where you can do all of this in minutes as opposed to, you know, days or weeks or months. That laid a lot of the groundwork for building anything in, in ai, at least in terms of training our own own models and then fine tuning them with, with replica data.[00:12:50] So then you know, we, we started a team last year recruited people from, you know from a team of, of zero or a team of one to, to the AI and data team today. We, we build. Everything related to, to ghostrider. So that means the various features like explain code, generate code, transform Code, and Ghostrider chat which is like a in context ide or a chat product within the, in the ide.[00:13:18] And then the code completion models, which are ghostwriter code complete, which was the, the very first version of, of ghostrider. Yeah. And we also support, you know, things like search and, and anything in terms of what creates, or anything that requires like large data scale or large scale processing of, of data for the site.[00:13:38] And, and various types of like ML algorithms for the site, for internal use of the site to do things like detect and stop abuse. Mm-hmm.[00:13:47] Alessio Fanelli: Yep. Sounds like a lot of the early stuff you worked on was more analytical, kind of like analyzing data, getting answers on these things. Obviously this has evolved now into some.[00:13:57] Production use case code lms, how is the team? And maybe like some of the skills changed. I know there's a lot of people wondering, oh, I was like a modern data stack expert, or whatever. It's like I was doing feature development, like, how's my job gonna change? Like,[00:14:12] Reza Shabani: yeah. It's a good question. I mean, I think that with with language models, the shift has kind of been from, or from traditional ml, a lot of the shift has gone towards more like nlp backed ml, I guess.[00:14:26] And so, you know, there, there's an entire skill set of applicants that I no longer see, at least for, for this role which are like people who know how to do time series and, and ML across time. Right. And, and you, yeah. Like you, you know, that exact feeling of how difficult it is to. You know, you have like some, some text or some variable and then all of a sudden you wanna track that over time.[00:14:50] The number of dimensions that it, that it introduces is just wild and it's a totally different skill set than what we do in a, for example, in in language models. And it's very it's a, it's a skill that is kind of you know, at, at least at rep not used much. And I'm sure in other places used a lot, but a lot of the, the kind of excitement about language models has pulled away attention from some of these other ML areas, which are extremely important and, and I think still going to be valuable.[00:15:21] So I would just recommend like anyone who is a, a data stack expert, like of course it's cool to work with NLP and text data and whatnot, but I do think at some point it's going to you know, having, having skills outside of that area and in more traditional aspects of ML will, will certainly be valuable as well.[00:15:39] swyx: Yeah. I, I'd like to spend a little bit of time on this data stack notion pitch. You were even, you were effectively the first data hire at rep. And I just spent the past year myself diving into data ecosystem. I think a lot of software engineers are actually. Completely unaware that basically every company now eventually evolves.[00:15:57] The data team and the data team does everything that you just mentioned. Yeah. All of us do exactly the same things, set up the same pipelines you know, shop at the same warehouses essentially. Yeah, yeah, yeah, yeah. So that they enable everyone else to query whatever they, whatever they want. And to, to find those insights that that can drive their business.[00:16:15] Because everyone wants to be data driven. They don't want to do the janitorial work that it comes, that comes to, yeah. Yeah. Hooking everything up. What like, so rep is that you think like 90 ish people now, and then you, you joined two years ago. Was it like 30 ish people? Yeah, exactly. We're 30 people where I joined.[00:16:30] So and I just wanna establish your founders. That is exactly when we hired our first data hire at Vilify as well. I think this is just a very common pattern that most founders should be aware of, that like, You start to build a data discipline at this point. And it's, and by the way, a lot of ex finance people very good at this because that's what we do at our finance job.[00:16:48] Reza Shabani: Yeah. Yeah. I was, I was actually gonna Good say that is that in, in some ways, you're kind of like the perfect first data hire because it, you know, you know how to build things in a reliable but fast way and, and how to build them in a way that, you know, it's, it scales over time and evolves over time because financial markets move so quickly that if you were to take all of your time building up these massive systems, like the trading opportunities gone.[00:17:14] So, yeah. Yeah, they're very good at it. Cool. Okay. Well,[00:17:18] swyx: I wanted to cover Ghost Writer as a standalone thing first. Okay. Yeah. And then go into code, you know, V1 or whatever you're calling it. Yeah. Okay. Okay. That sounds good. So order it[00:17:26] Replit GhostWriter[00:17:26] Reza Shabani: however you like. Sure. So the original version of, of Ghost Writer we shipped in August of, of last year.[00:17:33] Yeah. And so this was a. This was a code completion model similar to GitHub's co-pilot. And so, you know, you would have some text and then it would predict like, what, what comes next. And this was, the original version was actually based off of the cogen model. And so this was an open source model developed by Salesforce that was trained on, on tons of publicly available code data.[00:17:58] And so then we took their their model, one of the smaller ones, did some distillation some other kind of fancy tricks to, to make it much faster and and deployed that. And so the innovation there was really around how to reduce the model footprint in a, to, to a size where we could actually serve it to, to our users.[00:18:20] And so the original Ghost Rider You know, we leaned heavily on, on open source. And our, our friends at Salesforce obviously were huge in that, in, in developing these models. And, but, but it was game changing just because we were the first startup to actually put something like that into production.[00:18:38] And, and at the time, you know, if you wanted something like that, there was only one, one name and, and one place in town to, to get it. And and at the same time, I think I, I'm not sure if that's like when the image models were also becoming open sourced for the first time. And so the world went from this place where, you know, there was like literally one company that had all of these, these really advanced models to, oh wait, maybe these things will be everywhere.[00:19:04] And that's exactly what's happened in, in the last Year or so, as, as the models get more powerful and then you always kind of see like an open source version come out that someone else can, can build and put into production very quickly at, at, you know, a fraction of, of the cost. So yeah, that was the, the kind of code completion Go Strider was, was really just, just that we wanted to fine tune it a lot to kind of change the way that our users could interact with it.[00:19:31] So just to make it you know, more customizable for our use cases on, on Rep. And so people on Relet write a lot of, like jsx for example, which I don't think was in the original training set for, for cogen. And and they do specific things that are more Tuned to like html, like they might wanna run, right?[00:19:50] Like inline style or like inline CSS basically. Those types of things. And so we experimented with fine tuning cogen a bit here and there, and, and the results just kind of weren't, weren't there, they weren't where you know, we, we wanted the model to be. And, and then we just figured we should just build our own infrastructure to, you know, train these things from scratch.[00:20:11] Like, LMS aren't going anywhere. This world's not, you know, it's, it's not like we're not going back to that world of there's just one, one game in town. And and we had the skills infrastructure and the, and the team to do it. So we just started doing that. And you know, we'll be this week releasing our very first open source code model.[00:20:31] And,[00:20:31] Benchmarking Code LLMs[00:20:31] Alessio Fanelli: and when you say it was not where you wanted it to be, how were you benchmarking[00:20:36] Reza Shabani: it? In that particular case, we were actually, so, so we have really two sets of benchmarks that, that we use. One is human eval, so just the standard kind of benchmark for, for Python, where you can generate some code or you give you give the model a function definition with, with some string describing what it's supposed to do, and then you allow it to complete that function, and then you run a unit test against it and and see if what it generated passes the test.[00:21:02] So we, we always kind of, we would run this on the, on the model. The, the funny thing is the fine tuned versions of. Of Cogen actually did pretty well on, on that benchmark. But then when we, we then have something called instead of human eval. We call it Amjad eval, which is basically like, what does Amjad think?[00:21:22] Yeah, it's, it's exactly that. It's like testing the vibes of, of a model. And it's, it's cra like I've never seen him, I, I've never seen anyone test the model so thoroughly in such a short amount of time. He's, he's like, he knows exactly what to write and, and how to prompt the model to, to get you know, a very quick read on, on its quote unquote vibes.[00:21:43] And and we take that like really seriously. And I, I remember there was like one, one time where we trained a model that had really good you know, human eval scores. And the vibes were just terrible. Like, it just wouldn't, you know, it, it seemed overtrained. So so that's a lot of what we found is like we, we just couldn't get it to Pass the vibes test no matter how the, how[00:22:04] swyx: eval.[00:22:04] Well, can you formalize I'm jal because I, I actually have a problem. Slight discomfort with human eval. Effectively being the only code benchmark Yeah. That we have. Yeah. Isn't that[00:22:14] Reza Shabani: weird? It's bizarre. It's, it's, it's weird that we can't do better than that in some, some way. So, okay. If[00:22:21] swyx: I, if I asked you to formalize Mja, what does he look for that human eval doesn't do well on?[00:22:25] Reza Shabani: Ah, that is a, that's a great question. A lot of it is kind of a lot of it is contextual like deep within, within specific functions. Let me think about this.[00:22:38] swyx: Yeah, we, we can pause for. And if you need to pull up something.[00:22:41] Reza Shabani: Yeah, I, let me, let me pull up a few. This, this[00:22:43] swyx: is gold, this catnip for people.[00:22:45] Okay. Because we might actually influence a benchmark being evolved, right. So, yeah. Yeah. That would be,[00:22:50] Reza Shabani: that would be huge. This was, this was his original message when he said the vibes test with, with flying colors. And so you have some, some ghostrider comparisons ghost Rider on the left, and cogen is on the right.[00:23:06] AmjadEval live demo[00:23:06] Reza Shabani: So here's Ghostrider. Okay.[00:23:09] swyx: So basically, so if I, if I summarize it from a, for ghosting the, there's a, there's a, there's a bunch of comments talking about how you basically implement a clone. Process or to to c Clooney process. And it's describing a bunch of possible states that he might want to, to match.[00:23:25] And then it asks for a single line of code for defining what possible values of a name space it might be to initialize it in amjadi val With what model is this? Is this your, this is model. This is the one we're releasing. Yeah. Yeah. It actually defines constants which are human readable and nice.[00:23:42] And then in the other cogen Salesforce model, it just initializes it to zero because it reads that it starts of an int Yeah, exactly. So[00:23:51] Reza Shabani: interesting. Yeah. So you had a much better explanation of, of that than than I did. It's okay. So this is, yeah. Handle operation. This is on the left.[00:24:00] Okay.[00:24:00] swyx: So this is rep's version. Yeah. Where it's implementing a function and an in filling, is that what it's doing inside of a sum operation?[00:24:07] Reza Shabani: This, so this one doesn't actually do the infill, so that's the completion inside of the, of the sum operation. But it, it's not, it's, it, it's not taking into account context after this value, but[00:24:18] swyx: Right, right.[00:24:19] So it's writing an inline lambda function in Python. Okay.[00:24:21] Reza Shabani: Mm-hmm. Versus[00:24:24] swyx: this one is just passing in the nearest available variable. It's, it can find, yeah.[00:24:30] Reza Shabani: Okay. So so, okay. I'll, I'll get some really good ones in a, in a second. So, okay. Here's tokenize. So[00:24:37] swyx: this is an assertion on a value, and it's helping to basically complete the entire, I think it looks like an E s T that you're writing here.[00:24:46] Mm-hmm. That's good. That that's, that's good. And then what does Salesforce cogen do? This is Salesforce cogen here. So is that invalidism way or what, what are we supposed to do? It's just making up tokens. Oh, okay. Yeah, yeah, yeah. So it's just, it's just much better at context. Yeah. Okay.[00:25:04] Reza Shabani: And, and I guess to be fair, we have to show a case where co cogen does better.[00:25:09] Okay. All right. So here's, here's one on the left right, which[00:25:12] swyx: is another assertion where it's just saying that if you pass in a list, it's going to throw an exception saying in an expectedly list and Salesforce code, Jen says,[00:25:24] Reza Shabani: This is so, so ghost writer was sure that the first argument needs to be a list[00:25:30] swyx: here.[00:25:30] So it hallucinated that it wanted a list. Yeah. Even though you never said it was gonna be a list.[00:25:35] Reza Shabani: Yeah. And it's, it's a argument of that. Yeah. Mm-hmm. So, okay, here's a, here's a cooler quiz for you all, cuz I struggled with this one for a second. Okay. What is.[00:25:47] swyx: Okay, so this is a four loop example from Amjad.[00:25:50] And it's, it's sort of like a q and a context in a chat bot. And it's, and it asks, and Amjad is asking, what does this code log? And it just paste in some JavaScript code. The JavaScript code is a four loop with a set time out inside of it with a cons. The console logs out the iteration variable of the for loop and increasing numbers of of, of times.[00:26:10] So it's, it goes from zero to five and then it just increases the, the delay between the timeouts each, each time. Yeah.[00:26:15] Reza Shabani: So, okay. So this answer was provided by by Bard. Mm-hmm. And does it look correct to you? Well,[00:26:22] the[00:26:22] Alessio Fanelli: numbers too, but it's not one second. It's the time between them increases.[00:26:27] It's like the first one, then the one is one second apart, then it's two seconds, three seconds. So[00:26:32] Reza Shabani: it's not, well, well, so I, you know, when I saw this and, and the, the message and the thread was like, Our model's better than Bard at, at coding Uhhuh. This is the Bard answer Uhhuh that looks totally right to me.[00:26:46] Yeah. And this is our[00:26:47] swyx: answer. It logs 5 5 55, what is it? Log five 50. 55 oh oh. Because because it logs the state of I, which is five by the time that the log happens. Mm-hmm. Yeah.[00:27:01] Reza Shabani: Oh God. So like we, you know we were shocked. Like, and, and the Bard dancer looked totally right to, to me. Yeah. And then, and somehow our code completion model mind Jude, like this is not a conversational chat model.[00:27:14] Mm-hmm. Somehow gets this right. And and, you know, Bard obviously a much larger much more capable model with all this fancy transfer learning and, and and whatnot. Some somehow, you know, doesn't get it right. So, This is the kind of stuff that goes into, into mja eval that you, you won't find in any benchmark.[00:27:35] Good. And and, and it's, it's the kind of thing that, you know, makes something pass a, a vibe test at Rep.[00:27:42] swyx: Okay. Well, okay, so me, this is not a vibe, this is not so much a vibe test as the, these are just interview questions. Yeah, that's, we're straight up just asking interview questions[00:27:50] Reza Shabani: right now. Yeah, no, the, the vibe test, the reason why it's really difficult to kind of show screenshots that have a vibe test is because it really kind of depends on like how snappy the completion is, how what the latency feels like and if it gets, if it, if it feels like it's making you more productive.[00:28:08] And and a lot of the time, you know, like the, the mix of, of really low latency and actually helpful content and, and helpful completions is what makes up the, the vibe test. And I think part of it is also, is it. Is it returning to you or the, the lack of it returning to you things that may look right, but be completely wrong.[00:28:30] I think that also kind of affects Yeah. Yeah. The, the vibe test as well. Yeah. And so, yeah, th this is very much like a, like a interview question. Yeah.[00:28:39] swyx: The, the one with the number of processes that, that was definitely a vibe test. Like what kind of code style do you expect in this situation? Yeah.[00:28:47] Is this another example? Okay.[00:28:49] Reza Shabani: Yeah. This is another example with some more Okay. Explanations.[00:28:53] swyx: Should we look at the Bard one[00:28:54] Reza Shabani: first? Sure. These are, I think these are, yeah. This is original GT three with full size 175. Billion[00:29:03] swyx: parameters. Okay, so you asked GPC three, I'm a highly intelligent question answering bot.[00:29:07] If you ask me a question that is rooted in truth, I'll give you the answer. If you ask me a question that is nonsense I will respond with unknown. And then you ask it a question. What is the square root of a bananas banana? It answers nine. So complete hallucination and failed to follow the instruction that you gave it.[00:29:22] I wonder if it follows if one, if you use an instruction to inversion it might, yeah. Do what better?[00:29:28] Reza Shabani: On, on the original[00:29:29] swyx: GP T Yeah, because I like it. Just, you're, you're giving an instructions and it's not[00:29:33] Reza Shabani: instruction tuned. Now. Now the interesting thing though is our model here, which does follow the instructions this is not instruction tuned yet, and we still are planning to instruction tune.[00:29:43] Right? So it's like for like, yeah, yeah, exactly. So,[00:29:45] swyx: So this is a replica model. Same question. What is the square of bananas? Banana. And it answers unknown. And this being one of the, the thing that Amjad was talking about, which you guys are. Finding as a discovery, which is, it's better on pure natural language questions, even though you trained it on code.[00:30:02] Exactly. Yeah. Hmm. Is that because there's a lot of comments in,[00:30:07] Reza Shabani: No. I mean, I think part of it is that there's a lot of comments and there's also a lot of natural language in, in a lot of code right. In terms of documentation, you know, you have a lot of like markdowns and restructured text and there's also just a lot of web-based code on, on replica, and HTML tends to have a lot of natural language in it.[00:30:27] But I don't think the comments from code would help it reason in this way. And, you know, where you can answer questions like based on instructions, for example. Okay. But yeah, it's, I know that that's like one of the things. That really shocked us is the kind of the, the fact that like, it's really good at, at natural language reasoning, even though it was trained on, on code.[00:30:49] swyx: Was this the reason that you started running your model on hella swag and[00:30:53] Reza Shabani: all the other Yeah, exactly. Interesting. And the, yeah, it's, it's kind of funny. Like it's in some ways it kind of makes sense. I mean, a lot of like code involves a lot of reasoning and logic which language models need and need to develop and, and whatnot.[00:31:09] And so you know, we, we have this hunch that maybe that using that as part of the training beforehand and then training it on natural language above and beyond that really tends to help. Yeah,[00:31:21] Aligning Models on Vibes[00:31:21] Alessio Fanelli: this is so interesting. I, I'm trying to think, how do you align a model on vibes? You know, like Bard, Bard is not purposefully being bad, right?[00:31:30] Like, there's obviously something either in like the training data, like how you're running the process that like, makes it so that the vibes are better. It's like when it, when it fails this test, like how do you go back to the team and say, Hey, we need to get better[00:31:44] Reza Shabani: vibes. Yeah, let's do, yeah. Yeah. It's a, it's a great question.[00:31:49] It's a di it's very difficult to do. It's not you know, so much of what goes into these models in, in the same way that we have no idea how we can get that question right. The programming you know, quiz question. Right. Whereas Bard got it wrong. We, we also have no idea how to take certain things out and or, and to, you know, remove certain aspects of, of vibes.[00:32:13] Of course there's, there's things you can do to like scrub the model, but it's, it's very difficult to, to get it to be better at something. It's, it's almost like all you can do is, is give it the right type of, of data that you think will do well. And then and, and of course later do some fancy type of like, instruction tuning or, or whatever else.[00:32:33] But a lot of what we do is finding the right mix of optimal data that we want to, to feed into the model and then hoping that the, that the data that's fed in is sufficiently representative of, of the type of generations that we want to do coming out. That's really the best that, that you can do.[00:32:51] Either the model has. Vibes or, or it doesn't, you can't teach vibes. Like you can't sprinkle additional vibes in it. Yeah, yeah, yeah. Same in real life. Yeah, exactly right. Yeah, exactly. You[00:33:04] Beyond Code Completion[00:33:04] Alessio Fanelli: mentioned, you know, co being the only show in town when you started, now you have this, there's obviously a, a bunch of them, right.[00:33:10] Cody, which we had on the podcast used to be Tap nine, kite, all these different, all these different things. Like, do you think the vibes are gonna be the main you know, way to differentiate them? Like, how are you thinking about. What's gonna make Ghost Rider, like stand apart or like, do you just expect this to be like table stakes for any tool?[00:33:28] So like, it just gonna be there?[00:33:30] Reza Shabani: Yeah. I, I do think it's, it's going to be table stakes for sure. I, I think that if you don't if you don't have AI assisted technology, especially in, in coding it's, it's just going to feel pretty antiquated. But but I do think that Ghost Rider stands apart from some of, of these other tools for for specific reasons too.[00:33:51] So this is kind of the, one of, one of the things that these models haven't really done yet is Come outside of code completion and outside of, of just a, a single editor file, right? So what they're doing is they're, they're predicting like the text that can come next, but they're not helping with the development process quite, quite yet outside of just completing code in a, in a text file.[00:34:16] And so the types of things that we wanna do with Ghost Rider are enable it to, to help in the software development process not just editing particular files. And so so that means using a right mix of like the right model for for the task at hand. But but we want Ghost Rider to be able to, to create scaffolding for you for, for these projects.[00:34:38] And so imagine if you would like Terraform. But, but powered by Ghostrider, right? I want to, I put up this website, I'm starting to get a ton of traffic to it and and maybe like I need to, to create a backend database. And so we want that to come from ghostrider as well, so it can actually look at your traffic, look at your code, and create.[00:34:59] You know a, a schema for you that you can then deploy in, in Postgres or, or whatever else? You know, I, I know like doing anything in in cloud can be a nightmare as well. Like if you wanna create a new service account and you wanna deploy you know, nodes on and, and have that service account, kind of talk to those nodes and return some, some other information, like those are the types of things that currently we have to kind of go, go back, go look at some documentation for Google Cloud, go look at how our code base does it you know, ask around in Slack, kind of figure that out and, and create a pull request.[00:35:31] Those are the types of things that we think we can automate away with with more advanced uses of, of ghostwriter once we go past, like, here's what would come next in, in this file. So, so that's the real promise of it, is, is the ability to help you kind of generate software instead of just code in a, in a particular file.[00:35:50] Ghostwriter Autonomous Agent[00:35:50] Reza Shabani: Are[00:35:50] Alessio Fanelli: you giving REPL access to the model? Like not rep, like the actual rep. Like once the model generates some of this code, especially when it's in the background, it's not, the completion use case can actually run the code to see if it works. There's like a cool open source project called Walgreen that does something like that.[00:36:07] It's like self-healing software. Like it gives a REPL access and like keeps running until it fixes[00:36:11] Reza Shabani: itself. Yeah. So, so, so right now there, so there's Ghostrider chat and Ghostrider code completion. So Ghostrider Chat does have, have that advantage in, in that it can it, it knows all the different parts of, of the ide and so for example, like if an error is thrown, it can look at the, the trace back and suggest like a fix for you.[00:36:33] So it has that type of integration. But the what, what we really want to do is is. Is merge the two in a way where we want Ghost Rider to be like, like an autonomous agent that can actually drive the ide. So in these action models, you know, where you have like a sequence of of events and then you can use you know, transformers to kind of keep track of that sequence and predict the next next event.[00:36:56] It's how, you know, companies like, like adapt work these like browser models that can, you know, go and scroll through different websites or, or take some, some series of actions in a, in a sequence. Well, it turns out the IDE is actually a perfect place to do that, right? So like when we talk about creating software, not just completing code in a file what do you do when you, when you build software?[00:37:17] You, you might clone a repo and then you, you know, will go and change some things. You might add a new file go down, highlight some text, delete that value, and point it to some new database, depending on the value in a different config file or in your environment. And then you would go in and add additional block code to, to extend its functionality and then you might deploy that.[00:37:40] Well, we, we have all of that data right there in the replica ide. And and we have like terabytes and terabytes of, of OT data you know, operational transform data. And so, you know, we can we can see that like this person has created a, a file what they call it, and, you know, they start typing in the file.[00:37:58] They go back and edit a different file to match the you know, the class name that they just put in, in the original file. All of that, that kind of sequence data is what we're looking to to train our next model on. And so that, that entire kind of process of actually building software within the I D E, not just like, here's some text what comes next, but rather the, the actions that go into, you know, creating a fully developed program.[00:38:25] And a lot of that includes, for example, like running the code and seeing does this work, does this do what I expected? Does it error out? And then what does it do in response to that error? So all, all of that is like, Insanely valuable information that we want to put into our, our next model. And and that's like, we think that one can be way more advanced than the, than this, you know, go straighter code completion model.[00:38:47] Releasing Replit-code-v1-3b[00:38:47] swyx: Cool. Well we wanted to dive in a little bit more on, on the model that you're releasing. Maybe we can just give people a high level what is being released what have you decided to open source and maybe why open source the story of the YOLO project and Yeah. I mean, it's a cool story and just tell it from the start.[00:39:06] Yeah.[00:39:06] Reza Shabani: So, so what's being released is the, the first version that we're going to release. It's a, it's a code model called replica Code V1 three B. So this is a relatively small model. It's 2.7 billion parameters. And it's a, it's the first llama style model for code. So, meaning it's just seen tons and tons of tokens.[00:39:26] It's been trained on 525 billion tokens of, of code all permissively licensed code. And it's it's three epox over the training set. And And, you know, all of that in a, in a 2.7 billion parameter model. And in addition to that, we, for, for this project or, and for this model, we trained our very own vocabulary as well.[00:39:48] So this, this doesn't use the cogen vocab. For, for the tokenize we, we trained a totally new tokenize on the underlying data from, from scratch, and we'll be open sourcing that as well. It has something like 32,000. The vocabulary size is, is in the 32 thousands as opposed to the 50 thousands.[00:40:08] Much more specific for, for code. And, and so it's smaller faster, that helps with inference, it helps with training and it can produce more relevant content just because of the you know, the, the vocab is very much trained on, on code as opposed to, to natural language. So, yeah, we'll be releasing that.[00:40:29] This week it'll be up on, on hugging pace so people can take it play with it, you know, fine tune it, do all type of things with it. We want to, we're eager and excited to see what people do with the, the code completion model. It's, it's small, it's very fast. We think it has great vibes, but we, we hope like other people feel the same way.[00:40:49] And yeah. And then after, after that, we might consider releasing the replica tuned model at, at some point as well, but still doing some, some more work around that.[00:40:58] swyx: Right? So there are actually two models, A replica code V1 three B and replica fine tune V1 three B. And the fine tune one is the one that has the 50% improvement in in common sense benchmarks, which is going from 20% to 30%.[00:41:13] For,[00:41:13] Reza Shabani: for yes. Yeah, yeah, yeah, exactly. And so, so that one, the, the additional tuning that was done on that was on the publicly available data on, on rep. And so, so that's, that's you know, data that's in public res is Permissively licensed. So fine tuning on on that. Then, Leads to a surprisingly better, like significantly better model, which is this retuned V1 three B, same size, you know, same, very fast inference, same vocabulary and everything.[00:41:46] The only difference is that it's been trained on additional replica data. Yeah.[00:41:50] swyx: And I think I'll call out that I think in one of the follow up q and as that Amjad mentioned, people had some concerns with using replica data. Not, I mean, the licensing is fine, it's more about the data quality because there's a lot of beginner code Yeah.[00:42:03] And a lot of maybe wrong code. Mm-hmm. But it apparently just wasn't an issue at all. You did[00:42:08] Reza Shabani: some filtering. Yeah. I mean, well, so, so we did some filtering, but, but as you know, it's when you're, when you're talking about data at that scale, it's impossible to keep out, you know, all of the, it's, it's impossible to find only select pieces of data that you want the, the model to see.[00:42:24] And, and so a lot of the, a lot of that kind of, you know, people who are learning to code material was in there anyway. And, and you know, we obviously did some quality filtering, but a lot of it went into the fine tuning process and it really helped for some reason. You know, there's a lot of high quality code on, on replica, but there's like you, like you said, a lot of beginner code as well.[00:42:46] And that was, that was the really surprising thing is that That somehow really improved the model and its reasoning capabilities. It felt much more kind of instruction tuned afterward. And, and you know, we have our kind of suspicions as as to why there's, there's a lot of like assignments on rep that kind of explain this is how you do something and then you might have like answers and, and whatnot.[00:43:06] There's a lot of people who learn to code on, on rep, right? And, and like, think of a beginner coder, like think of a code model that's learning to, to code learning this reasoning and logic. It's probably a lot more valuable to see that type of, you know, the, the type of stuff that you find on rep as opposed to like a large legacy code base that that is, you know, difficult to, to parse and, and figure out.[00:43:29] So, so that was very surprising to see, you know, just such a huge jump in in reasoning ability once trained on, on replica data.[00:43:38] The YOLO training run[00:43:38] swyx: Yeah. Perfect. So we're gonna do a little bit of storytelling just leading up to the, the an the developer day that you had last week. Yeah. My understanding is you decide, you raised some money, you decided to have a developer day, you had a bunch of announcements queued up.[00:43:52] And then you were like, let's train the language model. Yeah. You published a blog post and then you announced it on Devrel Day. What, what, and, and you called it the yolo, right? So like, let's just take us through like the[00:44:01] Reza Shabani: sequence of events. So so we had been building the infrastructure to kind of to, to be able to train our own models for, for months now.[00:44:08] And so that involves like laying out the infrastructure, being able to pull in the, the data processes at scale. Being able to do things like train your own tokenizes. And and even before this you know, we had to build out a lot of this data infrastructure for, for powering things like search.[00:44:24] There's over, I think the public number is like 200 and and 30 million res on, on re. And each of these res have like many different files and, and lots of code, lots of content. And so you can imagine like what it must be like to, to be able to query that, that amount of, of data in a, in a reasonable amount of time.[00:44:45] So we've You know, we spent a lot of time just building the infrastructure that allows for for us to do something like that and, and really optimize that. And, and this was by the end of last year. That was the case. Like I think I did a demo where I showed you can, you can go through all of replica data and parse the function signature of every Python function in like under two minutes.[00:45:07] And, and there's, you know, many, many of them. And so a and, and then leading up to developer day, you know, we had, we'd kind of set up these pipelines. We'd started training these, these models, deploying them into production, kind of iterating and, and getting that model training to production loop.[00:45:24] But we'd only really done like 1.3 billion parameter models. It was like all JavaScript or all Python. So there were still some things like we couldn't figure out like the most optimal way to to, to do it. So things like how do you pad or yeah, how do you how do you prefix chunks when you have like multi-language models, what's like the optimal way to do it and, and so on.[00:45:46] So you know, there's two PhDs on, on the team. Myself and Mike and PhDs tend to be like careful about, you know, a systematic approach and, and whatnot. And so we had this whole like list of things we were gonna do, like, oh, we'll test it on this thing and, and so on. And even these, like 1.3 billion parameter models, they were only trained on maybe like 20 billion tokens or 30 billion tokens.[00:46:10] And and then Amjad joins the call and he's like, no, let's just, let's just yolo this. Like, let's just, you know, we're raising money. Like we should have a better code model. Like, let's yolo it. Let's like run it on all the data. How many tokens do we have? And, and, and we're like, you know, both Michael and I are like, I, I looked at 'em during the call and we were both like, oh God is like, are we really just gonna do this?[00:46:33] And[00:46:34] swyx: well, what is the what's the hangup? I mean, you know that large models work,[00:46:37] Reza Shabani: you know that they work, but you, you also don't know whether or not you can improve the process in, in In important ways by doing more data work, scrubbing additional content, and, and also it's expensive. It's like, it, it can, you know it can cost quite a bit and if you, and if you do it incorrectly, you can actually get it.[00:47:00] Or you, you know, it's[00:47:02] swyx: like you hit button, the button, the go button once and you sit, sit back for three days.[00:47:05] Reza Shabani: Exactly. Yeah. Right. Well, like more like two days. Yeah. Well, in, in our case, yeah, two days if you're running 256 GP 100. Yeah. Yeah. And and, and then when that comes back, you know, you have to take some time to kind of to test it.[00:47:19] And then if it fails and you can't really figure out why, and like, yeah, it's, it's just a, it's kind of like a, a. A time consuming process and you just don't know what's going to, to come out of it. But no, I mean, I'm Judd was like, no, let's just train it on all the data. How many tokens do we have? We tell him and he is like, that's not enough.[00:47:38] Where can we get more tokens? Okay. And so Michele had this you know, great idea to to train it on multiple epox and so[00:47:45] swyx: resampling the same data again.[00:47:47] Reza Shabani: Yeah. Which, which can be, which is known risky or like, or tends to overfit. Yeah, you can, you can over overfit. But you know, he, he pointed us to some evidence that actually maybe this isn't really a going to be a problem.[00:48:00] And, and he was very persuasive in, in doing that. And so it, it was risky and, and you know, we did that training. It turned out. Like to actually be great for that, for that base model. And so then we decided like, let's keep pushing. We have 256 TVs running. Let's see what else we can do with it.[00:48:20] So we ran a couple other implementations. We ran you know, a the fine tune version as I, as I said, and that's where it becomes really valuable to have had that entire pipeline built out because then we can pull all the right data, de-dupe it, like go through the, the entire like processing stack that we had done for like months.[00:48:41] We did that in, in a matter of like two days for, for the replica data as well removed, you know, any of, any personal any pii like personal information removed, harmful content, removed, any of, of that stuff. And we just put it back through the that same pipeline and then trained on top of that.[00:48:59] And so I believe that replica tune data has seen something like 680. Billion tokens. And, and that's in terms of code, I mean, that's like a, a universe of code. There really isn't that much more out there. And, and it, you know, gave us really, really promising results. And then we also did like a UL two run, which allows like fill the middle capabilities and and, and will be, you know working to deploy that on, on rep and test that out as well soon.[00:49:29] But it was really just one of those Those cases where, like, leading up to developer day, had we, had we done this in this more like careful, systematic way what, what would've occurred in probably like two, three months. I got us to do it in, in a week. That's fun. It was a lot of fun. Yeah.[00:49:49] Scaling Laws: from Kaplan to Chinchilla to LLaMA[00:49:49] Alessio Fanelli: And so every time I, I've seen the stable releases to every time none of these models fit, like the chinchilla loss in, in quotes, which is supposed to be, you know, 20 tokens per, per, what's this part of the yo run?[00:50:04] Or like, you're just like, let's just throw out the tokens at it doesn't matter. What's most efficient or like, do you think there's something about some of these scaling laws where like, yeah, maybe it's good in theory, but I'd rather not risk it and just throw out the tokens that I have at it? Yeah,[00:50:18] Reza Shabani: I think it's, it's hard to, it's hard to tell just because there's.[00:50:23] You know, like, like I said, like these runs are expensive and they haven't, if, if you think about how many, how often these runs have been done, like the number of models out there and then, and then thoroughly tested in some forum. And, and so I don't mean just like human eval, but actually in front of actual users for actual inference as part of a, a real product that, that people are using.[00:50:45] I mean, it's not that many. And, and so it's not like there's there's like really well established kind of rules as to whether or not something like that could lead to, to crazy amounts of overfitting or not. You just kind of have to use some, some intuition around it. And, and what we kind of found is that our, our results seem to imply that we've really been under training these, these models.[00:51:06] Oh my god. And so like that, you know, all, all of the compute that we kind of. Through, with this and, and the number of tokens, it, it really seems to help and really seems to to improve. And I, and I think, you know, these things kind of happen where in, in the literature where everyone kind of converges to something seems to take it for for a fact.[00:51:27] And like, like Chinchilla is a great example of like, okay, you know, 20 tokens. Yeah. And but, but then, you know, until someone else comes along and kind of tries tries it out and sees actually this seems to work better. And then from our results, it seems imply actually maybe even even lla. Maybe Undertrained.[00:51:45] And, and it may be better to go even You know, like train on on even more tokens then and for, for the[00:51:52] swyx: listener, like the original scaling law was Kaplan, which is 1.7. Mm-hmm. And then Chin established 20. Yeah. And now Lama style seems to mean 200 x tokens to parameters, ratio. Yeah. So obviously you should go to 2000 X, right?[00:52:06] Like, I mean, it's,[00:52:08] Reza Shabani: I mean, we're, we're kind of out of code at that point, you know, it's like there, there is a real shortage of it, but I know that I, I know there are people working on I don't know if it's quite 2000, but it's, it's getting close on you know language models. And so our friends at at Mosaic are are working on some of these really, really big models that are, you know, language because you with just code, you, you end up running out of out of context.[00:52:31] So Jonathan at, at Mosaic has Jonathan and Naveen both have really interesting content on, on Twitter about that. Yeah. And I just highly recommend following Jonathan. Yeah,[00:52:43] MosaicML[00:52:43] swyx: I'm sure you do. Well, CAGR, can we talk about, so I, I was sitting next to Naveen. I'm sure he's very, very happy that you, you guys had such, such success with Mosaic.[00:52:50] Maybe could, could you shout out like what Mosaic did to help you out? What, what they do well, what maybe people don't appreciate about having a trusted infrastructure provider versus a commodity GPU provider?[00:53:01] Reza Shabani: Yeah, so I mean, I, I talked about this a little bit in the in, in the blog post in terms of like what, what advantages like Mosaic offers and, and you know, keep in mind, like we had, we had deployed our own training infrastructure before this, and so we had some experience with it.[00:53:15] It wasn't like we had just, just tried Mosaic And, and some of those things. One is like you can actually get GPUs from different providers and you don't need to be you know, signed up for that cloud provider. So it's, it kind of detaches like your GPU offering from the rest of your cloud because most of our cloud runs in, in gcp.[00:53:34] But you know, this allowed us to leverage GPUs and other providers as well. And then another thing is like train or infrastructure as a service. So you know, these GPUs burn out. You have note failures, you have like all, all kinds of hardware issues that come up. And so the ability to kind of not have to deal with that and, and allow mosaic and team to kind of provide that type of, of fault tolerance was huge for us.[00:53:59] As well as a lot of their preconfigured l m configurations for, for these runs. And so they have a lot of experience in, in training these models. And so they have. You know, the, the right kind of pre-configured setups for, for various models that make sure that, you know, you have the right learning rates, the right training parameters, and that you're making the, the best use of the GPU and, and the underlying hardware.[00:54:26] And so you know, your GPU utilization is always at, at optimal levels. You have like fewer law spikes than if you do, you can recover from them. And you're really getting the most value out of, out of the compute that you're kind of throwing at, at your data. We found that to be incredibly, incredibly helpful.[00:54:44] And so it, of the time that we spent running things on Mosaic, like very little of that time is trying to figure out why the G P U isn't being utilized or why you know, it keeps crashing or, or why we, you have like a cuda out of memory errors or something like that. So like all, all of those things that make training a nightmare Are are, you know, really well handled by, by Mosaic and the composer cloud and and ecosystem.[00:55:12] Yeah. I was gonna[00:55:13] swyx: ask cuz you're on gcp if you're attempted to rewrite things for the TPUs. Cause Google's always saying that it's more efficient and faster, whatever, but no one has experience with them. Yeah.[00:55:23] Reza Shabani: That's kind of the problem is that no one's building on them, right? Yeah. Like, like we want to build on, on systems that everyone else is, is building for.[00:55:31] Yeah. And and so with, with the, with the TPUs that it's not easy to do that.[00:55:36] Replit's Plans for the Future (and Hiring!)[00:55:36] swyx: So plans for the future, like hard problems that you wanna solve? Maybe like what, what do you like what kind of people that you're hiring on your team?[00:55:44] Reza Shabani: Yeah. So We are, we're currently hiring for for two different roles on, on my team.[00:55:49] Although we, you know, welcome applications from anyone that, that thinks they can contribute in, in this area. Replica tends to be like a, a band of misfits. And, and the type of people we work with and, and have on our team are you know, like just the, the perfect mix to, to do amazing projects like this with very, very few people.[00:56:09] Right now we're hiring for the applied a applied to AI ml engineer. And so, you know, this is someone who's. Creating data pipelines, processing the data at scale creating runs and and training models and you

Host Jon Powers welcomed Lisa Jacobson, President of the Business Council for Sustainable Energy (BCSE), and Ethan Zindler, Head of Americas for BloombergNEF, back for their sixth annual conversation about the Sustainable Energy in America 2023 Factbook. This conversation is an annual tradition that covers the data in the Factbook, highlighting where the industry is today. The Factbook has been published every year for over a decade, so now you can track the growth in the market over the last 10 years. Tune in as Jon, Lisa and Ethan look both backwards and out of where the market is. The Factbook is available to download here: https://bcse.org/market-trends/. Thanks for listening!

A live webcast will be streamed at 3:00 PM EDT at www.eesi.org/livecast. Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute 2022 was a record-breaking year for investment in the energy transition and the deployment of renewable power, battery storage, and sustainable transportation according to the eleventh edition of the Sustainable Energy in America Factbook. The Factbook, published by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), was released on March 1 and is available to download for free at www.bcse.org/factbook. The Factbook provides valuable year-over-year data and insights on the American energy transformation, with an in-depth look at the energy efficiency, renewable energy, and natural gas sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas. The eleventh edition of the Factbook provides new data and analysis about the performance of clean energy sectors by tracking year-on-year as well as long-term trends within the U.S. energy economy. Designed for a broad audience—from the energy professional, to the public policymaker, to the curious student—the Factbook offers an insightful and in-depth look at economics, market and investment dynamics, and technology trends.

A live webcast will be streamed at 3:00 PM EDT at www.eesi.org/livecast. Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute 2022 was a record-breaking year for investment in the energy transition and the deployment of renewable power, battery storage, and sustainable transportation according to the eleventh edition of the Sustainable Energy in America Factbook. The Factbook, published by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), was released on March 1 and is available to download for free at www.bcse.org/factbook. The Factbook provides valuable year-over-year data and insights on the American energy transformation, with an in-depth look at the energy efficiency, renewable energy, and natural gas sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas. The eleventh edition of the Factbook provides new data and analysis about the performance of clean energy sectors by tracking year-on-year as well as long-term trends within the U.S. energy economy. Designed for a broad audience—from the energy professional, to the public policymaker, to the curious student—the Factbook offers an insightful and in-depth look at economics, market and investment dynamics, and technology trends.

Host Jon Powers was thrilled to welcome back Lisa Jacobson, President of the Business Council for Sustainable Energy (BCSE), and Ethan Zindler, Head of Americas for BloombergNEF, for their fourth annual conversation about the Sustainability in America 2022 Factbook. Learn from the experts about the Sustainable Energy in America 2022 Factbook, which chronicles the progress of clean energy in 2021, as well as the latest market & policy trends of the US energy economy. The Factbook is available to download here: www.bcse.org/factbook. Thanks for listening!

A live webcast will be streamed at 01:00 PM EDT at www.eesi.org/livecast Hosted in coordination with the House and Senate Renewable Energy & Energy Efficiency Caucuses Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute The tenth edition of the Sustainable Energy in America Factbook, published by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), was released on March 3, 2022, and is available to download from the BCSE website at bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy sector, with an in-depth look at the energy efficiency, renewable energy, and natural gas sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

A live webcast will be streamed at 01:00 PM EDT at www.eesi.org/livecast Hosted in coordination with the House and Senate Renewable Energy & Energy Efficiency Caucuses Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute The tenth edition of the Sustainable Energy in America Factbook, published by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), was released on March 3, 2022, and is available to download from the BCSE website at bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy sector, with an in-depth look at the energy efficiency, renewable energy, and natural gas sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

Simon Severino helps business owners in SaaS and services discover how to be able to run their company more efficiently which results in sales that soar. He created the Strategy Sprints® Method that doubles revenue in 90 days by getting owners out of the weeds. Simon is the CEO and founder of Strategy Sprints which is a global team of certified Strategy Sprints® Coaches which has offers a customized strategy to help clients gain market share and work in weekly sprints which results in fast execution. He is also a Forbes Business Council Member, a contributor to Entrepreneur Magazine, and a member of Duke Corporate Education.   Most passionate about We are helping entrepreneurs navigate these funky times. The two things that they need most are time and cash. We help them improve the volume of their work to get them down to a healthy level of work per day, versus working too much. And we help them improve sales. We are growing like crazy right now. I haired five new coaches to my team and I have onboarded a new head of sales and he will be recruiting salespeople in the next month. We are growing because we have a digital plug-and-play offer to help business owners. Since nobody can fly right now, because of COVID, companies need our help in generating sales. Simon’s career and story I have been doing strategy consultancy for 17 years now. I've done market entry strategy in New York, management system optimization in Beijing, and everything in between. The first thing that I started doing was having my own little private practice as a coach. Then I went to a big consultancy, where I really learned the craft. I was a junior consultant, senior consultant, then a junior project manager, senior project manager, principal, the whole ladder. I was a young psychotherapist. It was not very impactful and was not the place where I was meant to be. My second try was as a leadership coach and leadership trainer. That was where I found my place. Best advice for entrepreneurs I would say, make a list of everything that you're doing. Cut the list in half. Then take this list, cut it in half again, and execute. When you cut what you are currently doing, you will automatically ask yourself “What is the most important thing to do?” and “Now what will pop up as the most important thing?” The first thing will be your family, but then comes your customer. What is really helping your customers succeed? This is the most important question for a business owner: which of my activities are really helping my customer succeed? That should be one block of the things that you do every day. The second one is “Which activities are really helping my company grow?” These are joint venture partnerships, working on the forms, the function of your sales and marketing system and the like. The biggest, most critical failure with customers The biggest failure was in 2013, when I was a strategy advisor of the BMW group. We had a project of around one year to become number one in the world and to stay number one in the world. We started creating the Factbook and analyzing who are the competitors. They picked some competitors and we picked some competitors. One of these competitors was Tesla. The CEO said, “No, we don't need to take them so seriously. It's just a billionaire from America who has no idea about building cars.” At that time, his assumption was “this is not relevant.” Many years later, the I8 and I3 models are now on the streets. The strategy has been born electric in the history of the company. The direction was fine, but my failure was not to validate assumptions. What I learned from this failure and what I'm doing differently now in the strategy sprints method—you still get data every seven days, but whatever our assumption is, we will test it in three days. Biggest success with customers It's the same thing that I learned there. I then execute it every day. In 2013, I created the strategy sprint method, which really helps...

A live webcast will be streamed at 02:00 PM EST at www.eesi.org/livecast Hosted in coordination with: Senate Renewable Energy & Energy Efficiency Caucus Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute The ninth edition of the Sustainable Energy in America Factbook, published by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), was released on February 18, 2021, and is available to download at www.bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy economy, with an in-depth look at the energy efficiency, natural gas, and renewable energy sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

A live webcast will be streamed at 02:00 PM EST at www.eesi.org/livecast Hosted in coordination with: Senate Renewable Energy & Energy Efficiency Caucus Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute The ninth edition of the Sustainable Energy in America Factbook, published by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), was released on February 18, 2021, and is available to download at www.bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy economy, with an in-depth look at the energy efficiency, natural gas, and renewable energy sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

Host Jon Powers was thrilled to welcome back Lisa Jacobson, President of the Business Council for Sustainable Energy (BCSE), and Ethan Zindler, Head of Americas for BloombergNEF, for their third annual conversation about the Sustainability in America 2021 Factbook. Learn from the experts about the revolution in US clean energy production as described in the ninth version of this important resource. Hear about their research into the trends they're seeing in the industry in production, transportation, decarbonization, energy efficiency, and jobs. The trends are showing we have a fundamentally strong industry and marketplace.

Google "Czechia" and you'll find my article in Forbes. Although it has about 200,000 views, a few outliers are still resisting the name Czechia. They cling to The Czech Republic name as stubbornly as they cling to their Czech beer in a pub. In this WanderLearn episode (#112), I talk with two Czechs: Petr Pavlinek: Professor of Geography at the University of Nebraska at Omaha.  Václav J. Šulista: Honorary Consul of the Czech Republic to the Swiss Confederation (or Honorary Consul of Czechia to Switzerland, for you short-form name fans). We discuss: Why Czechia is a good name. Who dislikes the name. Why they dislike the name. How long will it take for the world to adopt the name. Why it matters.     You can watch most of the interview on YouTube: https://www.youtube.com/watch?v=5ivX9h4c5a4       Here is my article on Forbes: Czechia Has Won The Czech Republic Name Debate Quick: Paris is the capital of which country? You probably said, “France.” However, technically, it’s “the French Republic.” But who says that? Only a petulant Frenchman. Now try this: what’s the name of the country that drinks more beer per capita than any other country? If you’re feeling petulant, it’s the Czech Republic. If you want to be cool, it’s Czechia (pronounced Che-ki-ya). I'll drink to Czechia. (Photo credit: FRANCK FIFE/AFP/Getty Images)     Peruse the CIA’s Factbook and you’ll find that most countries have a long-form name and a short-form name. The People’s Republic of China is the long-form name, while China is its short-form name. The United States of America is also a mouthful, which is why there are popular alternatives: America (which many Latin Americans object to), the USA, the US, the States or Gringoland. For the last 100 years, the Czechs have been unable to come up with an easy name for English speakers to call their country. In 1918, when they first formed their country, the Czechs called their country Czechoslovakia. That tongue-twister was ridiculed by National Geographic, which called the new country’s name “awful” and an “unfair handicap for the young state.” In 1993, following Slovakia’s Velvet Divorce with Czechoslovakia, the Czech bureaucrats once again failed to promote a catchy English name for their new country. The Czech Republic is all they could come up with. It became both the long-form and short-form name of their new country. Why couldn't they come up with a short-form name? They were obviously too busy doing more important activities, like drinking their legendary beer. After American entrepreneurs tried Czechia's Budweiser Budvar Brewery beer, they named their version... [+] You can’t fault the Czechs for being unable to realize that what their nation’s name is a mouthful for English speakers. These are the same guys who have phrases like “Prd krt skrz drn, zprv zhlt hrst zrn.” I asked a Czech how you’re supposed to say that, he said, in complete seriousness, “Just like it’s written.” After I tried and comically failed, I asked him what it meant. He said, “A mole farted through grass, having swallowed a handful of grains.” Suddenly, calling their country "the Czech Republic" didn't feel so cumbersome anymore. The Czech Republic was one of the few countries that insisted on having a definite article in front of their country’s name: the Netherlands and the Gambia also annoyingly demand that. Sensing the frustration of English speakers who have to say “the Netherlands,” the Dutch offer the informal “Holland” alternative. It’s a bit easier to say, “I’m going to Holland,” instead of, “I’m going to the Netherlands.” It sounds weird to say, “I’m going to Netherlands.” Strangely, it doesn’t sound weird to say, “I’m going to Gambia.” Perhaps the Netherlands has been simply better than Gambia at demanding that we put a definite article before their name. Insisting on saying the Gambia implies that there are many Gambias. “Hey buddy, I’m not going to just any Gambia, I’m going to the Gambia.” In an effort to improve the linguistic lives of all English speakers, the Czech Republic registered its short-form name, Czechia, on July 5, 2016. How’s it catching on nearly a year later? On the one hand, there’s been little change. Some official Czech government websites still refer to "the Czech Republic." Because they're official government sites, it's not that surprising that they use the formal name, just like the United States government websites often spell out the long-form name of the USA. Czechia has yet to update its national athletic uniforms. Pavel Maslak celebrates on March 4, 2017.... [+] A few months after Czechia was officially registered in the United Nations databases and Czech leaders started to encourage English-speaking governments to use it, some quickly declared that Czechia was dead on arrival. Part of the “proof” that Czechia wasn't catching on was an unscientific survey of people in Prague’s Wenceslas Square. However, most Prague pedestrians aren’t native English speakers. Although some must have passionate opinions on the matter (and they’ll surely comment on this article), most Czechs probably don't care that much what English speakers call their country, as long as we don’t come up with an insulting name. The Czechs call their country Česko. Imagine asking New Yorkers what they think of Les États-Unis? Most New Yorkers aren’t fluent French speakers and are way too busy to worry about what the baguette eaters call their country. Consider the Finns. Nearly every language calls their country something that sounds like “Finland.” But what do the Finns call their own country? Suomi. This hockey star is happy to score goals for either Suomi or Finland. (Photo by Brian Bahr/Getty... [+] Albanians do the same thing. Almost everyone calls their country something that sounds like “Albania.” Meanwhile, Albanians call their own land Shqipëria. Neither the Finns nor the Albanians are trying to change what the world calls their country nor do they seem that concerned about what people call their motherland. The Czechs, on the other hand, want to make life easier for English speakers, which is why they’re encouraging us to say Czechia. It takes years for new names to catch on. As anyone who has changed their name knows, getting your friends to adopt it is difficult. Ten years ago, my wife changed her name from Binta to Rejoice. Her old friends and family still call her Binta. Similarly, when Burma became Myanmar, Leningrad became St. Petersburg and Peking became Beijing, the world took years to adapt. It would have saved cartographers and the rest of us English speakers plenty of trouble if China had just called their capital Beijing from the beginning. For whatever reason, they asked English speakers to start calling their big city Beijing. We complied. Prague, Czechia is arguably Europe's most beautiful city. Just don't tell that to the French. (Photo... [+] Czechia is an old name. The name Czechia first appeared in Latin about 400 years ago. The first English text to mention it was in 1841. Czechia’s party poopers say that it’s a lousy name because it sounds like Chechnya. However, it’s hard to avoid naming confusion. When I was writing my book about Eastern Europe, I discovered that most people confuse Slovakia and Slovenia (it doesn’t help that their flags are similar too). The poor folks who live in Seattle must spend their lives clarifying that they live in Washington state, not Washington, DC. And what were the people in Paris, Arkansas thinking when they came up with their city’s name? Compared to these cases, Czechia is clear as a watered-downed ale. Also, Czechia doesn’t ignite a vicious name debate like the one regarding Macedonia. The Greeks stir like a Poseidon-powered tidal wave whenever they hear the northern neighbor call themselves Macedonia. Chechnya has yet to declare war on Czechia. Speaking of war, it appears that Czechia has won the war against the Czech Republic . The October 2016 reports of Czechia's death recall a famous quotation: The reports of my death have been greatly exaggerated. - Mark Twain More and more people are using the word Czechia. The CIA World Factbook uses Czechia. Similarly, the US State Department refers to Czechia. In September 2018, the European Union's official style guide proclaimed that Czechia should be used just like we use France. Had you searched for "Czechia" on Eurostat last year, you would have gotten zero results. Today, their databases have over 5,000 entries. On the European Union's list of member states, the EU refers to Czechia, not the Czech Republic. In addition, Google Maps uses Czechia. Apple iOS 11 uses Czechia in its maps and system settings. As usual, the British are slower to change than the Americans: the UK government still clings to the long-form name. No wonder the Yanks wanted independence. Had you Googled “Czechia” in February 2016, you would have gotten 460,000 hits. Today, you'll get 12.5 million hits. Google Trends indicates that when the Czech government announced that "Czechia" would be their... [+]  GOOGLE TRENDS Instagram had 10,000 #Czechia mentions in 2015, but now it's nearly 300,000. In 2015, Twitter and Pinterest had negligible hits when you searched for #Czechia. In 2017, Twitter (300,000 hits) and Pinterest (200,000 hits) have seen a surge of #Czechia usage. Length matters: shorter country names are sexier than long ones. (Photo was taken in 2010 by MARK... [+] Czechia is encouraging English speakers to use its new short-form name. Try it out next time you fly to Europe’s two most beautiful cities: Prague, Czechia, and Paris, the French Republic. Sponsors This show is sponsored by: My Patrons  Sawyer Icelab More info You can post comments, ask questions, and sign up for my newsletter at http://wanderlearn.com. If you like this podcast, subscribe and share!  On social media, my username is always ftapon. Follow me on: http://facebook.com/ftapon http://twitter.com/ftapon http://youtube.com/user/ftapon http://pinterest.com/ftapon http://tumblr.com/ftapon My Patrons sponsored this show! Claim your monthly reward by becoming a patron at http://Patreon.com/FTapon Rewards start at just $2/month! If you prefer to do a one-time contribution, you can send it to my PayPal at FT@FrancisTapon.com If you prefer giving me Bitcoin, then please send BTC to my tip jar: 3EiSBC2bv2bYtYEXAKTkgqZohjF27DGjnV  

The 8th Annual Marijuana Business Factbook with Jenel Stelton-Holtmeier, Editorial Director at MJBizDaily. MJBiz recently published the 8th Annual Marijuana Business Factbook and we look at the overall scope of findings. “Though the long-term outlook for the recreational side of the industry is more bullish than for medical, MMJ sales are expected to grow at roughly the same pace in 2020. New MMJ markets including—but not limited to—Florida, Maryland, Oklahoma, and Pennsylvania are booming, more than offsetting lost medical sales in markets that have legalized adult-use sales, such as Illinois, Massachusetts, and Michigan. “ Four states are voting on adult-use (recreational) cannabis legalization: Arizona, Montana, New Jersey, and South Dakota. However, the medical cannabis industry’s upside is limited, as more than two-thirds of U.S. states have legalized medical markets; only around one-fifth currently allow adult-use sales. Programs in states that have recently legalized medical marijuana are restrictive in nature with limited access to dispensaries, tightly controlled lists of qualifying conditions, and severely constrained product selections. Generally speaking, the handful of states left that have yet to legalize medical marijuana are politically conservative and, if they do enact MMJ programs, might adopt a similarly onerous model that dampens their sales potential. Three states are voting on medical marijuana legalization: Idaho (maybe), Mississippi, Nebraska, and South Dakota.

The 8th Annual Marijuana Business Factbook with Jenel Stelton-Holtmeier, Editorial Director at MJBizDaily. MJBiz recently published the 8th Annual Marijuana Business Factbook and we look at the overall scope of findings. “Though the long-term outlook for the recreational side of the industry is more bullish than for medical, MMJ sales are expected to grow at roughly the same pace in 2020. New MMJ markets including—but not limited to—Florida, Maryland, Oklahoma, and Pennsylvania are booming, more than offsetting lost medical sales in markets that have legalized adult-use sales, such as Illinois, Massachusetts, and Michigan. “ Four states are voting on adult-use (recreational) cannabis legalization: Arizona, Montana, New Jersey, and South Dakota. However, the medical cannabis industry’s upside is limited, as more than two-thirds of U.S. states have legalized medical markets; only around one-fifth currently allow adult-use sales. Programs in states that have recently legalized medical marijuana are restrictive in nature with limited access to dispensaries, tightly controlled lists of qualifying conditions, and severely constrained product selections. Generally speaking, the handful of states left that have yet to legalize medical marijuana are politically conservative and, if they do enact MMJ programs, might adopt a similarly onerous model that dampens their sales potential. Three states are voting on medical marijuana legalization: Idaho (maybe), Mississippi, Nebraska, and South Dakota.

Mucha gente vive y tiene experiencias donde se cuestiona la interpretación limitada de la realidad, muchos tienen o hemos tenido que acallar nuestras vivencias, para no ser señalados por el dedo inquisidor de una sociedad sumisa, a dogmas y prohibiciones. Tiempo es de dejar oír nuestras voces para que la incomprensión de muchos de paso a un tiempo donde lo oculto o vedado, pueda ser contemplado de forma lucida e integradora. Muchas personas sensibles han caído en el camino. El hecho de poder hablar y exponer vivencias no ordinarias tiene que ayudarnos abrir puertas hacia un mundo mágico y transcendente, que muchos lo viven como caótico y amenazador, cuando no es así. Es más común de lo que se cree, el silencio o los perjuicios no pueden negar lo evidente. Vivimos en una multirrealidad, solo limitada por perjuicios e imposiciones. Pero como se suele decir “no se puede poner puertas al campo”, “no se puede someter a todos todo el tiempo” al traje del materialismo, del relativismo y del dogmatismo se le están rompiendo las costuras. Aquello que fue ocultado, reprimido o simplemente silenciado…. Es una realidad para muchos y conviene saber que “El Emperador esta desnudo”, muchas personas quieren y necesitan dar testimonio de una realidad mas amplia, eso no tiene que ser motivo de inseguridad, tiene que ser la apertura hacia nuevas metas y nuevos horizontes para la conciencia y el despertar de la humanidad. .. Si quieres compartir tu experiencia, nosotros ayudaremos en la difusión de tu testimonio. Tu experiencia puede ser importante otros, puede ser un apoyo para aquellos que vivan algo similar, puede ser una inspiración o motivación, para liberarnos del espejismo rutinario y del vacío existencial. Mucha gente vive ocultando sus percepciones por miedo al ridículo o al que dirán. Vivimos en un mundo abierto, donde distintos seres de distintas procedencias y naturaleza interactúan con nuestra realidad. Para ponerte en contacto y concretiza el como y el cuando realizar una grabación, primero envianos un mensaje privado en Factbook, o un email a: aulainiciatica@yahoo.es.

BIBLIOGRAPHY AND RESOURCESDavies, W. D., and Dale C. Allison Jr. A Critical and Exegetical Commentary on the Gospel according to Saint Matthew. Vol. 2. International Critical Commentary. London; New York: T&T Clark International, 2004.Faithlife Corporation. “Denarius.” Verbum, Computer software. Verbum Factbook. Bellingham, WA: Faithlife Corporation, June 15, 2020. https://ref.ly/logos4/Factbook?ref=bk.%24denarius.Louw, Johannes P., and Eugene Albert Nida. "ἀσσάριον." Greek-English Lexicon of the New Testament: Based on Semantic Domains. New York: United Bible Societies, 1996.Mitch, Curtis, and Edward Sri. The Gospel of Matthew. Grand Rapids, Michigan: Baker Academic, 2010.Mass Readings Explained by Dr. Brant PitreVerbum Bible Software - www.verbum.comREFERENCESMatthew 9:33-34 - "The crowds were amazed and said, 'Nothing like this has ever been seen in Israel.' But the Pharisees said, 'He drives out demons by the prince of demons.'"Matthew 4:23, 9:35 - These verses form an "inclusio" demarcating the first "book" of the Gospel of MatthewEzekiel 34:23, 30-31 - "'And I will set up over them one shepherd, my servant David, and he shall feed them: he shall feed them and be their shepherd [...] And they shall know that I, the LORD their God, am with them, and that they, the house of Israel, are my people, says the Lord GOD. And you are my sheep, the sheep of my pasture, and I am your God, says the Lord GOD.'”Matthew 10:1-2 - "And he called to him his twelve disciples [δώδεκα μαθητὰς / dodeka mathetas] and gave them authority over unclean spirits, to cast them out, and to heal every disease and every infirmity. The names of the twelve apostles [δώδεκα ἀποστόλων / dodeka apostolon] are these [...]"Jeremiah 20:7-9 - "You seduced me, LORD, and I let myself be seduced; you were too strong for me, and you prevailed. All day long I am an object of laughter; everyone mocks me. Whenever I speak, I must cry out, violence and outrage I proclaim; The word of the LORD has brought me reproach and derision all day long. I say I will not mention him, I will no longer speak in his name. But then it is as if fire is burning in my heart, imprisoned in my bones; I grow weary holding back, I cannot!"Philippians 2:10-12 - "At the name of Jesus every knee should bow, in heaven and on earth and under the earth, and every tongue confess that Jesus Christ is Lord, to the glory of God the Father. Therefore, my beloved, as you have always obeyed, so now, not only as in my presence but much more in my absence, work out your own salvation with fear and trembling."

TESTIMONIOS EN PRIMERA PERSONA ¿QUIERES COMPARTIR TU EXPERIENCIA? Mucha gente vive y tiene experiencias donde se cuestiona la interpretación limitada de la realidad, muchos tienen o hemos tenido que acallar nuestras vivencias, para no ser señalados por el dedo inquisidor de una sociedad sumisa, a dogmas y prohibiciones. Tiempo es de dejar oír nuestras voces para que la incomprensión de muchos de paso a un tiempo donde lo oculto o vedado, pueda ser contemplado de forma lucida e integradora. Muchas personas sensibles han caído en el camino. El hecho de poder hablar y exponer vivencias no ordinarias tiene que ayudarnos abrir puertas hacia un mundo mágico y transcendente, que muchos lo viven como caótico y amenazador, cuando no es así. Es más común de lo que se cree, el silencio o los perjuicios no pueden negar lo evidente. Vivimos en una multirrealidad, solo limitada por perjuicios e imposiciones. Pero como se suele decir “no se puede poner puertas al campo”, “no se puede someter a todos todo el tiempo” al traje del materialismo, del relativismo y del dogmatismo se le están rompiendo las costuras. Aquello que fue ocultado, reprimido o simplemente silenciado…. Es una realidad para muchos y conviene saber que “El Emperador esta desnudo”, muchas personas quieren y necesitan dar testimonio de una realidad mas amplia, eso no tiene que ser motivo de inseguridad, tiene que ser la apertura hacia nuevas metas y nuevos horizontes para la conciencia y el despertar de la humanidad. .. Si quieres compartir tu experiencia, nosotros ayudaremos en la difusión de tu testimonio. Tu experiencia puede ser importante otros, puede ser un apoyo para aquellos que vivan algo similar, puede ser una inspiración o motivación, para liberarnos del espejismo rutinario y del vacío existencial. Mucha gente vive ocultando sus percepciones por miedo al ridículo o al que dirán. Vivimos en un mundo abierto, donde distintos seres de distintas procedencias y naturaleza interactúan con nuestra realidad. Para ponerte en contacto y concretiza el como y el cuando realizar una grabación, primero envianos un mensaje privado en Factbook, o un email a: aulainiciatica@yahoo.es. Concretizaremos como hacer la grabación. Puede ser a modo de entrevista telefónica o bien enviándonos un archivo de voz mediante WhatsApp. nota.- Se busca patrocinadores, suscriptores o mecenas, que puedan ayudarnos económicamente para que podamos dedicarle un tiempo a creación de imágenes gráficas originales y realizar su edición en vídeo. Ayudando a este proyecto de divulgación espiritual. Para mayor información o contacto el Aula Iniciática esta también esta presente en los siguientes espacios de Internet, donde se comparte material didáctico audivisual y realiza una tarea de divulgación del conocimiento interior y universal. Enlace al video de este audio: https://www.youtube.com/watch?v=k-ppwk3Hos0 -Pagina Web http://aulainiciatica.com para conocernos mejor aquellos -Blog https://aula-iniciatica.blogspot.com.es es el tablón de anuncios actividades y ordenamiento de material compartido -Faceebook https://aula-iniciatica.blogspot.com.es para una relación mas directa Enlace al canal de video en Dailymontión https://www.dailymotion.com/video/x7e8yrt -Canal de video YouTube https://www.youtube.com/user/aulainiciatica Donde se comparten aspectos del despertar de la conciencia y técnicas prácticas, acompañando la información con imágenes adaptadas. Enlaces al Canal de YouTube del aula Iniciática - https://www.youtube.com/user/aulainiciatica/videos Tendréis una idea mas exacta de aquí se expone (una imagen vale mas que mil palabras) Os damos las gracias a todos aquellos que no habéis apoyado durante estos años y animado a seguir compartiendo, creando así una gran comunidad que conoce y comparte aquello que la humanidad debiera conocer por el simple hecho de vivir y que muchas veces a sido un conocimiento reservado a pequeños grupos selectos e iniciados. Gracias a todos aquellos que nos estáis acompañando y apoyando en esta aventura de divulgación. Ahora es un buen tiempo de recuperar el saber perdido. Un Cordial saludo y gracias por estar ahí.

On this special episode of Experts Only, host Jon Powers talks with Lisa Jacobson, President of the Business Council for Sustainable Energy (BCSE)and Ethan Zindler, head of Americas at Bloomberg NEF. Bloomberg NEF produces and BCSE underwrites the Sustainable Energy in America Factbook, which provides up-to-date, accurate market intelligence about the broad range of industries that are contributing to the country’s move towards cleaner energy production and more efficient energy usage. Hear why they call 2010-2019 "a decade of profound transformation" for renewable energy in America and highlight some of the insights contained in the 2020 Factbook.

Hosted in coordination with: House and Senate Renewable Energy & Energy Efficiency Caucuses Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute Lunch will be served. Please RSVP to expedite check-in A live webcast will be streamed at 12:00 PM EST at www.eesi.org/livecast (wireless connection permitting) The eighth edition of the Sustainable Energy in America Factbook, published in partnership by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), will be released on February 13, 2020, and available to download at www.bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy economy, with an in-depth look at the energy efficiency, natural gas, and renewable energy sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

Hosted in coordination with: House and Senate Renewable Energy & Energy Efficiency Caucuses Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute Lunch will be served. Please RSVP to expedite check-in A live webcast will be streamed at 12:00 PM EST at www.eesi.org/livecast (wireless connection permitting) The eighth edition of the Sustainable Energy in America Factbook, published in partnership by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), will be released on February 13, 2020, and available to download at www.bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy economy, with an in-depth look at the energy efficiency, natural gas, and renewable energy sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

Hosted in coordination with: House and Senate Renewable Energy & Energy Efficiency Caucuses Sponsored by: Business Council for Sustainable Energy and Environmental and Energy Study Institute Lunch will be served. Please RSVP to expedite check-in A live webcast will be streamed at 12:00 PM EST at www.eesi.org/livecast (wireless connection permitting) The eighth edition of the Sustainable Energy in America Factbook, published in partnership by BloombergNEF (BNEF) and the Business Council for Sustainable Energy (BCSE), will be released on February 13, 2020, and available to download at www.bcse.org/factbook. The Factbook provides updates on industry information and trends for the U.S. energy economy, with an in-depth look at the energy efficiency, natural gas, and renewable energy sectors, as well as emerging areas such as digitalization, micro-grids, offshore wind, hydrogen, and renewable natural gas.

This Week In Marijuana Business News for the week ended Nov. 1, 2019, with host Maggie Cowee. Headlines include: White House approves USDA hemp rules; release imminent The USDA hemp rules are out, and they account for some THC variance A deeper dive into USDA’s hemp production rules Sales of marijuana edibles up in at least four states in wake of vape health scare Maine cannabis retailers see spike in vaporizer sales after Massachusetts vape ban Canada has a cannabis packaging problem: Here’s what businesses are doing about it Alberta cannabis producer readies Canada’s largest rooftop solar array Mexico to miss deadline to legalize marijuana, including recreational use Uruguay selects three new commercial growers of recreational marijuana to meet consumer demand North Macedonia’s medical cannabis overhaul would allow flower exports – but also create entry hurdles Chart: Recreational cannabis stores will be few and far between in Illinois Michigan adult-use cannabis market likely won’t launch until spring Dozens may apply as Utah opens medical marijuana dispensary licensing round Medicine Man Technologies looks beyond Colorado after nearly $300M buying spree Deep Dive: Medicine Man Technologies lays the groundwork for long-term profitability Cannabis farmers in Western states report large crop yields, only minor challenges Subscribe to both of our podcasts on Apple, Stitcher and here on our site!

Brenda Clement, Executive Director of HousingWorks RI. #WPRO The annual release of the group's housing factbook highlights the difficulty both buyers and renters face in being able to afford housing in Rhode Island. https://www.housingworksri.org/

Brenda Clement, Executive Director of HousingWorks RI. #WPRO The annual release of the group's housing factbook highlights the difficulty both buyers and renters face in being able to afford housing in Rhode Island. https://www.housingworksri.org/

This Week In Marijuana Business News for the week ended Oct. 25, 2019, with host Nick Thomas. Headlines include: MJBizDaily leadership change: Co-founder Farrington stepping down as CEO; Walsh to take reins Mexico’s draft cannabis legalization law would limit foreign investment, ban vertical integration Marijuana producer Hexo delays earnings release, announces CA$70 million private placement Cannabis vaporizer company Pax Labs cuts 25% of workers after missing revenue projections Cannabis firm Harborside owes $11 million under 280E, US Tax Court rules Green Growth Brands hoping for holiday boost after widening losses, layoffs Subscribe to both of our podcasts on iTunes, Stitcher and here on our site!

This Week In Marijuana Business News for the week ended Oct. 18, 2019, with host Maggie Cowee. Headlines include: Exclusive: US retail sales of CBD may increase 133% in 2019, surpass $10 billion by 2024 Colorado’s largest cannabis grower loses millions of dollars in early freeze; supply disruption expected New California laws allow some marijuana firms to deduct expenses on state returns, help normalize MJ as ag commodity Cannabis advertising firm Weedmaps cuts 100-plus jobs in response to slow adult-use market rollouts Buying cannabis licenses on secondary market more of a sure bet than applying for state business permits Report: Draft law to legalize recreational cannabis in Mexico handed to Senate commissions Cannabis businesses invest CA$700 million in Atlantic Canada, report estimates France creates committee to draft rules for medical cannabis trial Chart: How medical cannabis programs fare in states with recreational markets October issue of Marijuana Business Magazine Subscribe to both of our podcasts on Apple, Stitcher and here on our site!

On this episode of Experts Only, host Jon Powers talks with Lisa Jacobson, President of the Business Council for Sustainable Energy (BCSE)and Ethan Zindler, head of Americas at Bloomberg NEF. Bloomberg NEF produces and BCSE underwrites the Sustainable Energy in America Factbook, which provides up-to-date, accurate market intelligence about the broad range of industries that are contributing to the country’s move towards cleaner energy production and more efficient energy usage. The discussion highlights some of the insights in the 2019 Factbook and how businesses, advocacy organizations, and governments are making that research actionable as we drive toward a clean energy economy.

Elizabeth Burke Bryant, the Executive Director of Rhode Island Kids Count. #WPRO The release of the Kids Count annual Factbook brings a trove of information about the condition of children in the state. http://www.rikidscount.org/

Elizabeth Burke Bryant, the Executive Director of Rhode Island Kids Count. #WPRO The release of the Kids Count annual Factbook brings a trove of information about the condition of children in the state. http://www.rikidscount.org/

Tim Slagle does the time warp. It’s Facebook not FACTbook, on the subject of Live Aid. The Song of the Week is from Simon de Wit. DATES: P.F. is doing Last Call Feud at the Casual Pint in Loveland, OH August 21 at 7:30. LINKS: Nearly Liza YouTube channel. Check it out! Skin & Earth comic book series by friend of the show LIGHTS. The Big Pretty Podcast PF, Fangirl, and Lizzie on the Travel Channel. Follow Liz Draws Ink on Instagram @nearlyliza Buy a T-shirt from Cincy Shirts OR Old School Shirts, it helps the show! Be sure to click over to Fangirl’s NEW blog, CheckCheckHey! and her photo blog. Follow P.F. on Twitter @PF66 and like this podcast on Facebook. PF’s Tape Recorder logo designed by Dan Koabel. The PF’s Tape Recorder Episode Guide is up. Email our show here.

Hosted in coordination with the House and Senate Renewable Energy & Energy Efficiency Caucuses Please RSVP to expedite check-in A live webcast will be streamed at 12:00 PM EST at www.eesi.org/livecast (wireless connection permitting) The Business Council for Sustainable Energy and the Environmental and Energy Study Institute invite you to attend a lunch briefing on the 2018 Sustainable Energy in America Factbook. Ethan Zindler, Head of Americas, Bloomberg New Energy Finance, will give an overview presentation of the 2018 Factbook findings. A moderated panel of industry experts will discuss the findings and policy implications for the energy efficiency, natural gas, and renewable energy sectors.

Hosted in coordination with the House and Senate Renewable Energy & Energy Efficiency Caucuses Please RSVP to expedite check-in A live webcast will be streamed at 12:00 PM EST at www.eesi.org/livecast (wireless connection permitting) The Business Council for Sustainable Energy and the Environmental and Energy Study Institute invite you to attend a lunch briefing on the 2018 Sustainable Energy in America Factbook. Ethan Zindler, Head of Americas, Bloomberg New Energy Finance, will give an overview presentation of the 2018 Factbook findings. A moderated panel of industry experts will discuss the findings and policy implications for the energy efficiency, natural gas, and renewable energy sectors.

Hosted in coordination with the House and Senate Renewable Energy & Energy Efficiency Caucuses Please RSVP to expedite check-in A live webcast will be streamed at 12:00 PM EST at www.eesi.org/livecast (wireless connection permitting) The Business Council for Sustainable Energy and the Environmental and Energy Study Institute invite you to attend a lunch briefing on the 2018 Sustainable Energy in America Factbook. Ethan Zindler, Head of Americas, Bloomberg New Energy Finance, will give an overview presentation of the 2018 Factbook findings. A moderated panel of industry experts will discuss the findings and policy implications for the energy efficiency, natural gas, and renewable energy sectors.

Elizabeth Burke Bryant, the Executive Director of RI Kids Count talks about the release of the 2017 Rhode Island Kids Count Factbook. It is described as "a statistical portrait of the status of Rhode Island's children and families". It is available at: http://www.rikidscount.org/DataPublications/RIKidsCountFactbook.aspx

Nach der Mammutepisode der letzten Woche gehen wir es wieder etwas kompakter an und begrüßen erstmalig Ingo Dachwitz in unserer Runde, der bei netzpolitik.org schreibt und sich zuletzt speziell mit der neuen EU-Richtlinie zu e-privacy beschäftigt hat, die einen Schwerpunkt in dieser Ausgabe darstellt. Dazu gibt es noch einiges an Feedback zur letzten Ausgabe und ein paar Kurzmeldungen sowie die kopfschüttelnde Zur-Kenntnisnahme einer realitätsfernen Verirrung der europäischen und nun auch deutschen Justiz zum Urheberrecht und Links.

 my guest will be Link Smith with the Oregon Department of Forestry. We will talk about the recent High Pass fire that Link was the original incident commander for the response. We will also talk about the upcoming Forest Land Classification process that is taking place. The classification will identify properties that have to pay the annual assessment for wildfire protection that funds the operations of folks that responded to this fire. There are public meetings coming up in September so this will be an early preview. The Boze Noze Show is live at 4:00 pm Pacific on Wednesdays. You can listen to the show on line ( just click the nose below) or on your phone by calling 646-721-9887. Just press "1" if you want to join in the conversation. If you can't make the live show and you have a question or comment for Jay Bozievich, send him an e-mail at talk@KRBNradio.net You can find previous shows easily by searching for "ITunes KRBN"  Be sure to like us on Factbook

This event is at capacity, we are no longer registering RSVPs. This briefing will NOT be streamed or recorded. We apologize for the inconvenience. The Environmental and Energy Study Institute (EESI) and the Business Council for Sustainable Energy (BCSE) invite you to a briefing that will provide information on the rapid changes occurring in the U.S. energy sector. The findings of the 2016 Sustainable Energy in America Factbook show that the U.S. energy sector, and the power sector in particular, have experienced unprecedented growth in newer, cleaner sources of energy. The briefing will feature an overview presentation by Bloomberg New Energy Finance (BNEF) on the findings from the Factbook, followed by a moderated industry panel with senior executives from a range of clean energy industries. Lunch will be provided.

This event is at capacity, we are no longer registering RSVPs. This briefing will NOT be streamed or recorded. We apologize for the inconvenience. The Environmental and Energy Study Institute (EESI) and the Business Council for Sustainable Energy (BCSE) invite you to a briefing that will provide information on the rapid changes occurring in the U.S. energy sector. The findings of the 2016 Sustainable Energy in America Factbook show that the U.S. energy sector, and the power sector in particular, have experienced unprecedented growth in newer, cleaner sources of energy. The briefing will feature an overview presentation by Bloomberg New Energy Finance (BNEF) on the findings from the Factbook, followed by a moderated industry panel with senior executives from a range of clean energy industries. Lunch will be provided.

This event is at capacity, we are no longer registering RSVPs. This briefing will NOT be streamed or recorded. We apologize for the inconvenience. The Environmental and Energy Study Institute (EESI) and the Business Council for Sustainable Energy (BCSE) invite you to a briefing that will provide information on the rapid changes occurring in the U.S. energy sector. The findings of the 2016 Sustainable Energy in America Factbook show that the U.S. energy sector, and the power sector in particular, have experienced unprecedented growth in newer, cleaner sources of energy. The briefing will feature an overview presentation by Bloomberg New Energy Finance (BNEF) on the findings from the Factbook, followed by a moderated industry panel with senior executives from a range of clean energy industries. Lunch will be provided.

Kathleen Madigan means business. A follow-up, of sorts, to last week’s “It’s Facebook, not FACTbook.” And Fake News.DATES:Kathleen Madigan is at the Taft Theater in Cincinnati Thursday May 15.LINKS:Andy Hawk and the Train Wreck Endings website.“Chasing the Sun” video on YouTube. “Chasing the Sun” is also available in iTunes.Matt Palumbo's book The Conscience of a Young Conservative and his other writings on RareHead to our SoundCloud page for a selection of dumb bits.Visit HomeShirts.com for great vintage apparel. Warmer weather is coming (hopefully), so you’re going to need some new t-shirts.Check out some funny stuff over at Ross Rants. Think of it as a print version of PF’s Tape Recorder.Be sure to click over to Fangirl’s blog, CheckCheckHey! and her photo blog.Follow P.F. on Twitter @PF66 and like this podcast on Facebook.PF’s Tape Recorder logo designed by Dan Koabel. Dan and Logan’s new podcast Magic Potion is also available now in iTunes.Email our show here.By: PF Wilson

Geekdom and music with John Roy. A double shot of “It’s Facebook, not FACTbook,” as we look at ACA misinformation and Bernie Kosar haters. Also, Fake News. DATES:John Roy is at Go Bananas in Cincinnati, May 8-11LINKS:John Roy’s podcast is Don’t Ever Change and it’s available in iTunes.John Roy on Jackie Kashian’s podcast The Dork Forest Andy Hawk and the Train Wreck Endings website.“Chasing the Sun” video on YouTube. “Chasing the Sun” is also available in iTunes.Head to our SoundCloud page for a selection of dumb bits.Visit HomeShirts.com for great vintage apparel. Warmer weather is coming (hopefully), so you’re going to need some new t-shirts.Check out some funny stuff over at Ross Rants. Think of it as a print version of PF’s Tape Recorder.Be sure to click over to Fangirl’s blog, CheckCheckHey! and her photo blog.Follow P.F. on Twitter @PF66 and like this podcast on Facebook.PF’s Tape Recorder logo designed by Dan Koabel. Dan and Logan’s new podcast Magic Potion is also available now in iTunes.Email our show here.

By PF Wilson Bryan Callen is relentless. Another installment of “It’s Facebook, not FACTbook” and Fake NewsDATES:Bryan Callen is at The House of Comedy in Minneapolis Thursday March 6 through Sunday March 9. LINKS:Bryan’s podcasts:The Bryan Callen Show The Ten Minute Podcast and The Fighter and The KidHead to our SoundCloud page for a selection of dumb bits.Visit HomeShirts.com for great vintage apparel. Warmer weather is coming (hopefully), so you’re going to need some new t-shirts.Check out some funny stuff over at Ross Rants. Think of it as a print version of PF’s Tape Recorder. Ross has a great piece on the Arizona’s SB 1062 bill.Be sure to click over to Fangirl’s blog, CheckCheckHey! and her photo blog. Follow P.F. on Twitter @PF66 and like this podcast on Facebook.PF’s Tape Recorder logo designed by Dan Koabel. Dan and Logan’s new podcast Magic Potion is also available now in iTunes.Email our show here.

Alex Reid sat down with some of the winners at the IABC Ottawa Excel Awards to explore what it takes to be a communicator today. The roster of interviewees includes: Helene Campbell (2:25): What it took as a communicator to turn her Be an Organ Donor Twitter campaign into an international Give to Live movement.    Kristine Simpson (9:30): How the Impaired Speed Skating Association is using a powerful communications strategy to educate the public about why it should be a sanctioned sport in the Paralympic Games.  Tony Lyons (14:40): How he drew attention to the important information in CIRA's Factbook through visual storytelling. 

Dave Shelzel and The Ocean Blue set sail once more. We have an interview and a brand new track from the band. Also, “It’s Facebook, Not, FACTbook” and “Fake News.” DATES: The Ocean Blue will be touring the US starting May 31 in Philadelphia. For more information, check out the tour page on the band’s website. LINKS: Buy The Ocean Blue’s new album Ultramarine directly from The Ocean Blue website. Their entire back catalog is there as well, save for the first album. That is widely available through other sources. If you need a digital version of Ultramarine, you will automatically be directed to Bandcamp.com from the band’s website. The album will also be available in iTunes, on Amazon, and many other online and brick-and-mortar stores, but remember bands benefits most when you buy the music directly from them. Fangirl’s new blog, CheckCheckHey! is up and running, as is her photo blog. Follow P.F. on Twitter @PF66 and like this podcast on Facebook. Check out The Big Pretty Podcast episode 13 for some GOOD impressions (unlike the ones on this show). Actually you can listen to all of the episodes, but Big Pretty’s first ever bit starts Episode 13. Funny stuff! PF’s Tape Recorder logo designed by Dan Koabel. Dan and Logan’s new podcast Magic Potion is available now in iTunes. Email the show here. YOU CAN STILL HELP CALEB MEDLEY! Caleb, as you may know, is a stand-up comic, who was severely injured in the movie theater shootings back in July. You can donate to help pay his medical expenses here. Hey, help a podcaster out and write a review on iTunes or here on Podbean---or both. It really helps us out with rankings and such. Thanks for listening, and be sure to tell your friends, neighbors, your neighbor’s friends, and friends of people who used to be your neighbors, about us. PF Wilson

En toda las Civilizaciones existen rastros de avistamientos en el cielo de artefactos desconocidos, intuyéndoles una tecnología imposible para la época de dichos acontecimientos. En el siglo XX y XXI…La humanidad ha experimentado una gran evolución en términos tecnológicos inimaginables…sin embargo tras miles de años esos artefactos siguen desafiando las leyes de la física y nos hacen parecer seres tremendamente primitivos…y prueba de ello, la tenemos en varios casos ocurridos en nuestra geografía…en la que pilotos españoles se han medido a objetos desconocidos, siendo burlados por la gran tecnología demostrada…esto ocurrió en el llamado “Caso Manises” OVNIS, pilotos… periodistas… militares..Contactados…Agentes secretos….toda una trama que hoy trataremos de aclarar y arrojar un poco de Luz a este ”Caso perfecto” de la ufología Española…e incluso desvelaremos algunos datos hasta ahora desconocidos…todo ello de la Mano de nuestra presentadora Rosa Pérez que en esta ocasión contará con El periodista y escritor Josep Guijarro, (http://los32rumbos.com/),Mitoa Edjang Campos director del programa El Vórtice en Unión Madrid y piloto en activo de las líneas Aéreas y con nuestro colaborador PR17..Codirector del exitoso programa “Visión Alternativa”. Además la sección capitaneada por Germán Goñi..”Actualidad Mundial” En la cual conoceremos las últimas noticias relacionada con nuestro planeta en materia de ciencia, misterio, arqueología y astronomía. Presenta y dirige Rosa Pérez Guión ermakysevilla y Rosa Pérez Edición y montaje ermakysevilla Podéis mandarnos vuestras sugerencias u opiniones a lalupa.turadio@hotmail.com Y También a nuestro foro: http://www.misteriosemanal.com/ Síguenos en Factbook : www.facebook.com/programalalupa.

En toda las Civilizaciones existen rastros de avistamientos en el cielo de artefactos desconocidos, intuyéndoles una tecnología imposible para la época de dichos acontecimientos. En el siglo XX y XXI…La humanidad ha experimentado una gran evolución en términos tecnológicos inimaginables…sin embargo tras miles de años esos artefactos siguen desafiando las leyes de la física y nos hacen parecer seres tremendamente primitivos…y prueba de ello, la tenemos en varios casos ocurridos en nuestra geografía…en la que pilotos españoles se han medido a objetos desconocidos, siendo burlados por la gran tecnología demostrada…esto ocurrió en el llamado “Caso Manises” OVNIS, pilotos… periodistas… militares..Contactados…Agentes secretos….toda una trama que hoy trataremos de aclarar y arrojar un poco de Luz a este ”Caso perfecto” de la ufología Española…e incluso desvelaremos algunos datos hasta ahora desconocidos…todo ello de la Mano de nuestra presentadora Rosa Pérez que en esta ocasión contará con El periodista y escritor Josep Guijarro, (http://los32rumbos.com/),Mitoa Edjang Campos director del programa El Vórtice en Unión Madrid y piloto en activo de las líneas Aéreas y con nuestro colaborador PR17..Codirector del exitoso programa “Visión Alternativa”. Además la sección capitaneada por Germán Goñi..”Actualidad Mundial” En la cual conoceremos las últimas noticias relacionada con nuestro planeta en materia de ciencia, misterio, arqueología y astronomía. Presenta y dirige Rosa Pérez Guión ermakysevilla y Rosa Pérez Edición y montaje ermakysevilla Podéis mandarnos vuestras sugerencias u opiniones a lalupa.turadio@hotmail.com Y También a nuestro foro: http://www.misteriosemanal.com/ Síguenos en Factbook : www.facebook.com/programalalupa.

Who’s your Daddy? Vince Morris! Another installment of “It’s Facebook, not FACTbook,” PF’s failed attempt to be the Funniest Person in Cincinnati, and Fake News. LINKS: Vince Morris’s “Scary Dad” full-length version. Cincinnati CityBeat cover story about the Cincinnati comedy scene. Like this podcast on Facebook, follow P.F. on Twitter @PF66 PF’s Tape Recorder logo designed by Dan Koabel. Email the show here. Be a good egg, and rate the podcast here and/or in iTunes. It really helps out with rankings and whatnot. Thanks for listening, and be sure to tell your friends and neighbors about us.

Investigating demographics.