Podcast appearances and mentions of jane street

Matt and Nic are back with another week of news and deals. In this episode:  Are AI datacenters better or worse for the environment than Bitcoin miners? AI is not responsible for your power bills Why AI could actually drive down residential power prices Is AI less popular than crypto ever was? The negative societal effects of tech companies staying private for longer We analyze the SpaceX S1 OpenAI solved one of the Erdos problems The US government is taking equity stakes in quantum computers Jane Street is still dealing with the Terra fallout Prime Trust is trying to claw back assets from Swan The SEC has questions about tokenized equities Content mentioned in this episode: Nic on Substack, AI is not hiking your electricity bill - yet

New blackboard lecture with Reiner Pope: how do chips actually work - starting with basic logic gates, and working up to why GPUs, TPUs, FPGAs, and the human brain each look the way they do.Reiner is CEO of MatX, a new chip startup (full disclosure - I'm an angel investor). He was previously at Google, where he worked on software efficiency, compilers, and TPU architecture.Watch this one on YouTube so you can see the chalkboard. Read the transcript.Sponsors* Crusoe was one of only five GPU clouds that made the gold tier in SemiAnalysis' most recent ClusterMAX report. Gold-tier providers like Crusoe delivered 5-15% lower TCO than silver-tier clouds, even with identical GPU pricing. This is because optimizations like early fault detection and rapid node replacement don't necessarily show up in the sticker price, but still matter a ton in the real world. Learn more at crusoe.ai/dwarkesh* Cursor is where I do most of my work—from reading research papers to visualizing technical concepts to coding up internal tools for the podcast. Most recently, I used it to build two different review interfaces for my essay contest, one that anonymizes submissions for scoring and another that lets me see applicants' essays next to their resumes and websites. Whatever you're working on, you should try doing it in Cursor. Get started at cursor.com/dwarkesh* Jane Street let me ask Ron Minsky and Dan Pontecorvo, two senior Jane Streeters, a bunch of questions about how they use AI. We discussed everything from the types of models they're training to how they think about the future of trading to why they're more bullish than ever on hiring technical talent. You can watch the full conversation and learn more about their open positions at janestreet.com/dwarkeshTimestamps00:00:00 – Building a multiply-accumulate from logic gates00:16:31 – Muxes and the cost of data movement00:26:10 – How systolic arrays work00:39:11 – Clock cycles and pipeline registers00:51:51 – FPGAs vs ASICs01:03:25 – Cache vs scratchpad01:07:27 – Why CPU cores are much bigger than GPU cores01:12:00 – Brains vs chips01:15:33 – A GPU is just a bunch of tiny TPUs Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Did Jane Street front-run the Terra collapse? Newly unsealed court filings allege Jane Street used a private Telegram backchannel with Terraform Labs insiders to dump $192 million of UST before the stablecoin's 2022 collapse. The firm then allegedly made $134 million shorting Terra. Jane Street denies the claims. CoinDesk's Jennifer Sanasie hosts "CoinDesk Daily." - This episode was hosted by Jennifer Sanasie. “CoinDesk Daily” is produced by Jennifer Sanasie and edited by Victor Chen.

Joining Blake and Tracey this week is a very special guest — Kate Cooper, CEO of OKX Australia. Kate's spent more than a decade across media, financial services, and digital assets, and has become one of the most respected voices in the Australian crypto industry.There's a lot to cover this week, so let's get straight into it:

#stockmarket #finance #investing #crudeoil #treasuryyields #gdp #icra #fineorganics #bharatelectronics #zydus #voltas #bluestar #q4earnings #janestreet #aiCatch today's market updates: Oil prices fall as Trump postpones the Iran strike, but US Treasury yields hit multi-year highs on inflation fears. ICRA cuts India's FY27 GDP forecast to 6.2%. We also review Q4 results for Fine Organics, BEL, and Zydus Lifesciences. Plus, a look at Voltas and Jane Street's massive $7B AI data center!https://shorturl.at/gM97lHow to Use Artificial Intelligence for Investing - Combo of 5 ebooks00:00 Oil Prices Fall as Strike Postponed03:07 US Treasury Yields Hit Multi-Year Highs06:29 ICRA Cuts India's FY27 GDP Forecast08:58 Fine Organics Q4 FY26 Results10:44 Bharat Electronics Q4 FY26 Results12:36 Zydus Lifesciences Q4 FY26 Results14:14 AC Stocks Rise on Heatwave Predictions15:46 Believe it or not!

Eric Jang walks through how to build AlphaGo from scratch, but with modern AI tools.Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning from experience, and self-play. You have to go back to 2017 to get insight into how the more general AIs of the future might learn.Once he explained how AlphaGo works, it gave us the context to have a discussion about how RL works in LLMs and how it could work better – naive policy gradient RL has to figure out which of the 100k+ tokens in your trajectory actually got you the right answer, while AlphaGo's MCTS suggests a strictly better action every single move, giving you a training target that sidesteps the credit assignment problem. The way humans learn is surely closer to the second.Eric also kickstarted an Autoresearch loop on his project. And it was very interesting to discuss which parts of AI research LLMs can already automate pretty well (implementing and running experiments, optimizing hyperparameters) and which they still struggle with (choosing the right question to investigate next, escaping research dead ends). Informative to all the recent discussion about when we should expect an intelligence explosion, and what it would look like from the inside.Watch on YouTube. Read the transcript.And check out the flashcards I wrote to retain the insights.Sponsors* Cursor‘s agent SDK let me build a pipeline to generate flashcards for this episode. For each card, I had an agent read the transcript, ingest blackboard screenshots, generate an SVG visual, and run everything through a critic. A durable agent is much better at this kind of work than a chain of LLM calls, and Cursor's SDK made it easy. Check out the cards at flashcards.dwarkesh.com and get started with the SDK at cursor.com/dwarkesh* Jane Street gave me a real deep-dive tour of one of their datacenters. I got to ask a bunch of questions to Ron Minsky, who co-leads Jane Street's tech group, and Dan Pontecorvo, who runs Jane Street's physical engineering team. They were willing to literally pull up the floorboards and take out racks to explain how everything works. Check out the full tour at janestreet.com/dwarkeshTimestamps(00:00:00) – Basics of Go(00:08:17) – Monte Carlo Tree Search(00:32:04) – What the neural network does(01:00:33) – Self-play(01:25:38) – Alternative RL approaches(01:45:47) – Why doesn't MCTS work for LLMs(02:01:09) – Off-policy training(02:12:02) – RL is even more information inefficient than you thought(02:22:16) – Automated AI researchers Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

David Reich is back.He and collaborator Ali Akbari just published a paper that overturns a long-standing consensus about human evolution — that natural selection has been dormant in our species since the agricultural revolution.By scaling ancient DNA sequencing and developing a new statistical method, they found that selection has actually sped up.Selection went especially bonkers during the Bronze Age (around 3,000 years ago).That's when gene frequencies for everything from immune function to body fat to intelligence were most in flux.Over the last 10,000 years, selection pushed the genetic predictor of cognitive performance up by roughly a full standard deviation — most of it between 4,000 and 2,000 years ago.After we finished recording, David sketched out on a whiteboard his new heretical model about who the Neanderthals really were. Luckily, I took out my iPhone and managed to record it.He thinks the standard story (that Neanderthals are some separate archaic lineage we interbred with a little) just doesn't fit the evidence. Instead, he proposes that Neanderthals are essentially genetically-swamped modern humans.A small population somewhere around the Caucasus invented Middle Stone Age technology roughly 300,000 years ago and expanded outward. The ones that moved into Europe interbred with local archaic humans, got genetically swamped, and became Neanderthals. The same expansion went into Africa, met much more diverged archaic Africans, and that mixture became us.This means Neanderthals and modern humans share the same cultural ancestry — the only difference is which archaic humans they mixed with afterward.David is a brilliant and rigorous scholar. It was a real delight to learn from him again.Watch on YouTube; read the transcript.Sponsors* Cursor was super useful as I prepped for this episode. Whenever I had a question, I'd have Cursor kick off a few different models simultaneously and then compare their responses. I found that this led to better results than I could get out of any individual LLM. If you've only used Cursor for coding, you should try using it for research. Check it out at cursor.com/dwarkesh* Jane Street uses an internal currency called “hive bucks” to allocate compute through a real-time auction – and anyone can change anyone else's bids or even kill their jobs! Everyone just trusts each other to act in the firm's best interest, which is what lets the system work in the first place. If this weird and high-trust culture sounds like your kind of thing, Jane Street's hiring at janestreet.com/dwarkesh* Crusoe's ML infra team built fastokens, an open-source tokenizer that delivers a ~9x speedup over Hugging Face and up to 40% faster time-to-first token – on real production workloads! Crusoe achieved these results by parallelizing things and using some clever engineering to handle duplicates without cross-thread coordination. Learn more at crusoe.ai/dwarkeshTimestamps(00:00:00) – Ancient DNA suggests strong selection over last 10,000 years(00:15:45) – Natural selection intensified during the Bronze Age(00:35:02) – Why didn't evolution max out intelligence?(00:57:21) – Evolution is limited by time, not population size(01:09:02) – Why no farming before the Ice Age?(01:17:13) – The Neanderthal puzzle David can't stop thinking about(01:54:10) – The methodology behind this breakthrough Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

GameStop is offering $56B to acquire eBay… the deal is crazy, the logic is not.Kellogg brings back cereal box toys for the 1st time in decades… The 100-year-old growth hack.The nerdiest biz ever just made the most $$$ in Wall Street history… Jane Street's math whiz.Plus, cinco de mayo on taco tuesday? As avocados prices are down 20%?!$GME $EBAY $KNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

nFactorial Intelligence - еженедельные новости из мира стартапов и ИИ    В очередном выпуске nFactorial Intelligence мы подробно разбираем громкое судебное разбирательство между Илоном Маском и руководством OpenAI, восстанавливая историческую хронологию их отношений и анализируя возможные последствия для всей технологической индустрии. Мы также говорим о том, как устроены собеседования в одной из самых прибыльных компаний мира Jane Street, решая классическую задачу на математическое ожидание с игральным кубиком. Вы узнаете, почему бывшие участники школьных олимпиад становятся миллиардерами в тысячи раз чаще остальных, и как топовые технические директора бросают руководящие посты ради позиции рядового разработчика в Anthropic. Значительная часть выпуска посвящена внутренней кухне Y Combinator. Мы обсуждаем главные инсайты с недавнего Demo Day, разбираем секрет успешного десятиминутного интервью для фаундеров и изучаем свежие запросы на стартапы от легендарного акселератора. Заодно выясняем, почему рекрутинг в успешные компании так сильно похож на ранние венчурные инвестиции. Не обошли стороной и стратегические вопросы бизнеса. Разбираем теорию ограничений на примере процессов команды MrBeast, вспоминаем историю создания формата Stories в Snapchat вместе с Эваном Шпигелем и обсуждаем, можно ли покупать первых пользователей для своего продукта. Отдельное внимание уделяем экспансии китайского автогиганта BYD и тому, почему от него в панике европейские производители. В дополнение к новостям мирового рынка, мы анонсируем старт нашего летнего лагеря nFactorial Teens для подростков, делимся отрывками из свежего подкаста с создателем системы Сергек Асетом Ахметовым и рассказываем о профессиональных успехах наших выпускников. В финале затрагиваем философию жизни: от размышлений нейробиолога Роберта Сапольски о природе стресса до пугающей и отрезвляющей визуализации скоротечности времени от Тима Урбана. Рекомендации от nFactorial  nFactorial Teens: 2-недельный летний лагерь по вайб-кодингу для школьников в Алматы (11-16 лет). Цель: создание своего оригинального веб-приложения или веб-игры - https://courses.nfactorial.school/teens Подписаться на еженедельную email-рассылку nFactorial Weekly - https://nfactorial-school.kit.com/ Ищем менеджера рекламы в Meta/Google - https://nfactorialschool.typeform.com/to/ArVYTH31

Did a very different format with Reiner Pope - a blackboard lecture where he walks through how frontier LLMs are trained and served.It's shocking how much you can deduce about what the labs are doing from a handful of equations, public API prices, and some chalk.It's a bit technical, but I encourage you to hang in there – it's really worth it.There are less than a handful of people who understand the full stack of AI, from chip design to model architecture, as well as Reiner. It was a real delight to learn from him.Recommend watching this one on YouTube so you can see the chalkboard.Reiner is CEO of MatX, a new chip startup (full disclosure - I'm an angel investor). He was previously at Google, where he worked on software efficiency, compilers, and TPU architecture.Download markdown of transcript here to chat with an LLM.Wrote up some flashcards and practice problems to help myself retain what Reiner taught. Hope it's helpful to you too!Sponsors* Jane Street needs constant access to incredibly low-latency compute. I recently asked one of their engineers, Clark, to talk me through how they meet these demands. Our conversation—which touched on everything from FPGAs to liquid cooling—was extremely helpful as I prepped to interview Reiner. You can watch the full discussion and explore Jane Street's open roles at janestreet.com/dwarkesh* Google's Gemma 4 is the first open model that's let me shut off the internet and create a fully disconnected “focus machine”. This is because Gemma is small enough to run on my laptop, but powerful enough to actually be useful. So, to prep for this interview, I downloaded Reiner's scaling book, disconnected from wifi, and used Gemma to help me break down the material. Check it out at goo.gle/Gemma4* Cursor helped me turn some notes I took on how gradients flow during large-scale pretraining into a great animation. At first, I wasn't sure the best way to visualize the concept, but Cursor's Composer 2 Fast model let me iterate on different ideas almost instantaneously. You can check out the animation in my recent blog post. And if you have something to visualize yourself, go to cursor.com/dwarkeshTimestamps(00:00:00) – How batch size affects token cost and speed(00:32:09) – How MoE models are laid out across GPU racks(00:47:12) – How pipeline parallelism spreads model layers across racks(01:03:37) – Why Ilya said, “As we now know, pipelining is not wise.”(01:18:59) – Because of RL, models may be 100x over-trained beyond Chinchilla-optimal(01:33:02) – Deducing long context memory costs from API pricing(02:04:02) – Convergent evolution between neural nets and cryptography Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Bitcoin holds near $77K–$78K with strong ETF inflows of $2.1 billion over eight days, while Western Union prepares to launch a Solana-based stablecoin and “Stable Card” next month. France charged 88 people in a major wrench attack crackdown, Tether froze $344 million in USDT, and Morgan Stanley launched a money market fund for stablecoin issuers. Strategy and Metaplanet continue corporate Bitcoin buying, and Jane Street denied Terra-related insider trading claims. Markets remain cautious but supported by institutional flows and new product launches. Hosted on Acast. See acast.com/privacy for more information.

"Nothing has structurally changed since Bitcoin hit all-time highs — the spring is coiled to the upside." Coinbase executive John D'Agostino sits down with Scott Melker to break down how Bitcoin price discovery really works, why the Jane Street manipulation story is laughable, and why Morgan Stanley and Goldman Sachs entering Bitcoin is a bigger deal than anyone realizes. They also cover AI agents using crypto as their payment rail, Hyperliquid's after-hours commodity trading, and D'Agostino's bold 2026 predictions. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this day, 15 April 1916, the newspaper of the revolutionary Industrial Workers of the World union announced the formation of its Domestic Workers Union in Denver, Colorado. Much of the history of the group was lost, but a fascinating letter by Jane Street, its secretary, was illegally seized by the Justice Department in 1917 and only discovered nearly 60 years later.She was writing to another domestic worker organiser in Tulsa, Oklahoma in which she described how they organised and took action to improve pay and conditions:"if you want to raise a job from $20 to $30. . . you can have a dozen girls answer an ad and demand $30—even if they do not want work at all. Or call up the woman and tell her you will accept the position at $20. Then she will not run her ad the next day. Don't go. Call up the next day and ask for $25 and promise to go (and don't go). On the third day she will say, 'Come on out and we will talk the matter over.' You can get not only the wages, but shortened hours and lightened labor as well."More information in our podcast episode 16 about women in the early IWW: https://workingclasshistory.com/2018/12/02/e16-women-in-the-early-iww/Our work is only possible because of support from you, our listeners on patreon. If you appreciate our work, please join us and access exclusive content and benefits at patreon.com/workingclasshistory.See all of our anniversaries each day, alongside sources and maps on the On This Day section of our Stories app: stories.workingclasshistory.com/date/todayBrowse all Stories by Date here on the Date index: https://stories.workingclasshistory.com/dateCheck out our Map of historical Stories: https://map.workingclasshistory.comCheck out books, posters, clothing and more in our online store, here: https://shop.workingclasshistory.comIf you enjoy this podcast, make sure to check out our flagship longform podcast, Working Class History

I asked Jensen about TPU competition, Nvidia's lock on the ever more bottlenecked supply chain needed to make advanced chips, whether we should be selling AI chips to China, why Nvidia doesn't just become a hyperscaler, how it makes its investments, and much more. Enjoy!Watch on YouTube; read the transcript.Sponsors* Crusoe's cloud runs on state-of-the-art Blackwell GPUs, with Vera Rubin deployment scheduled for later this year. But hardware is only part of the story—for inference, Crusoe's MemoryAlloy tech implements a cluster-wide KV cache, delivering up to 10x faster TTFT and 5x better throughput than vLLM. Learn more at crusoe.ai/dwarkesh* Cursor helped me build an AI co-researcher over the course of a weekend. Now I have an AI agent that I can collaborate with in Google Docs via inline comment threads! And while other agentic coding tools feel like a total black-box, Cursor let me stay on top of the full implementation. You can try my co-researcher out at github.com/dwarkeshsp/ai_coworker, or get started on your own Cursor project today at cursor.com/dwarkesh* Jane Street spent ~20,000 GPU hours training backdoors into 3 different language models, then challenged my audience to find the triggers. They received some clever solutions—like comparing the base and fine-tuned versions and extrapolating any differences to reveal the hidden backdoor—but no one was able to solve all 3. So if open problems like this excite you, Jane Street is hiring. Learn more at janestreet.com/dwarkeshTimestamps(00:00:00) – Is Nvidia's biggest moat its grip on scarce supply chains?(00:16:25) – Will TPUs break Nvidia's hold on AI compute?(00:41:06) – Why doesn't Nvidia become a hyperscaler?(00:57:36) – Should we be selling AI chips to China?(01:35:06) – Why doesn't Nvidia make multiple different chip architectures? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Spezielle Podcast Folge!

In this episode of the Rainmaker Podcast, Gui Costin sits down with Mike Castino, President of Sound Capital Solutions, for a deep dive into the mechanics of ETF creation, distribution, and the accelerating structural shift reshaping investment management.Mike's career began on the floor of the Chicago Mercantile Exchange, where he spent 12 years as an independent futures trader before transitioning into the investment management industry. His first sales role came at Claymore ETFs — one of the original ETF families, eventually acquired by Guggenheim and later Invesco — where his trading floor instincts translated directly into his commercial style. From there, Mike spent over a decade at U.S. Bank Global Fund Services, building out the business development function for ETF administrative and custodial services from the ground floor into a high-revenue operation. Sound Capital, the firm he co-founded with Claymore veteran Nick Dalmasso, was born from a shared entrepreneurial itch and a clear view of where the industry was heading.Sound Capital operates two complementary businesses: a white label ETF advisory service, where the firm serves as the registered advisor for clients who want to launch funds without building their own infrastructure, and a solutions provider offering that supports asset managers before, during, and after launch. Unlike traditional consultants who parachute in with a plan and leave, Sound Capital positions itself as a long-term partner focused on helping clients both build and retain AUM.A major theme of the conversation is the mechanics behind getting an ETF to market — and the parts that most first-time issuers underestimate. Revenue sharing with broker-dealer platforms is more complex and more negotiable than it appears, with fees ranging from flat access charges to AUM-based percentages to paid data packages. Market maker relationships are similarly misunderstood: firms like Jane Street and Citadel are not standing by as utilities for any issuer that arrives. They are selective partners who respond to seed capital, credible distribution plans, and meaningful trading relationships.Mike and Gui also discuss the transparent versus non-transparent active ETF debate, where Mike is direct: the flows have settled the argument. Non-transparent structures have failed to gather meaningful organic assets, while transparent active ETFs have surged — and the front-running fears that once justified opacity are largely overstated for anyone outside of micro-cap strategies.The conversation closes on two forward-looking topics. First, the dual share class structure — now approved for 30+ firms beyond Vanguard — which Mike sees as the long-term bridge that will unlock sticky mutual fund assets as intermediaries build switching infrastructure. Second, the challenge of building a young firm's credibility in a market that prizes institutional tenure. Mike is candid: individual experience only goes so far when prospects are evaluating the firm itself, and the answer is simply to deliver exceptional work, every day, one client at a time.Tired of chasing outdated leads? Book a demo to see how Dakota Marketplace simplifies your fundraising process with accurate, up-to-date investor data. 

Really enjoyed chatting with Michael Nielsen about how we recognize scientific progress.It's especially relevant for closing the RL verification loop for scientific discovery.But it's also a surprisingly mysterious and elusive question when you look at the history of human science.We approach this question stories like Einstein (who claimed that he hadn't even heard of the famous Michelson-Morley experiment, which is supposed to have motivated special relativity, until after he had come up with the theory), Darwin (why did it take till 1859 to lay out an idea whose essence every farmer since antiquity must have observed?), Prout (how do you recognize that isotopes exist if you cannot chemically separate them?), and many others.The verification loop on scientific ideas is often extremely long and weirdly hostile. Ancient Athenians dismissed Aristarchus's heliocentrism in the 3rd century BC because it would imply that the stars should shift in the sky as the Earth orbits the sun. The first successful measurement of stellar parallax was in 1838. That's a 2,000-year verification loop.But clearly human science is able to make progress faster than raw experimental falsification/verification would imply, and in cases where experiments are very ambiguous. How?Michael has some very deep and provocative hypotheses about the nature of progress. One I found especially thought-provoking is that aliens will likely have a VERY different science + tech stack than us. Which contradicts the common sense picture of a linear tech tree that I was assuming. And has some interesting implications about how future civilizations might trade and cooperate with each other.Watch on Youtube; read the transcript.Sponsors* Labelbox researchers built a new safety benchmark. Why? Well, current safety benchmarks claim that attacks on top models are successful only a few percent of the time, but the prompts in those benchmarks don't reflect how real bad actors actually write. You can read Labelbox's research here. If this could be useful for your work, reach out at labelbox.com/dwarkesh* Mercury has an MCP that lets you give an LLM access to your full transaction history, including things like attached receipts and internal notes. I just used it to categorize my 2025 transactions, and it worked shockingly well. Modern functionality like this is exactly why I use Mercury. Learn more at mercury.com* Jane Street's ML engineers presented some of their GPU optimization workflows at GTC, showing how they use CUDA graphs, streams, and custom kernels to shave real time off their training runs. You can watch the full talk here. And they open-sourced all the relevant code here. If this kind of stuff excites you, Jane Street is hiring — learn more at janestreet.com/dwarkeshTimestamps(00:00:00) – How scientific progress outpaces its verification loops(00:17:51) – Newton was the last of the magicians(00:23:26) – Why wasn't natural selection obvious much earlier?(00:29:52) – Could gradient descent have discovered general relativity?(00:50:54) – Why aliens will have a different tech stack than us(01:15:26) – Are there infinitely many deep scientific principles left to discover?(01:26:25) – What drew Michael to quantum computing so early?(01:35:29) – Does science need a new way to assign credit?(01:43:57) – Prolificness versus depth(01:49:17) – What it takes to actually internalize what you learn Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

After a volatile start driven by war jitters, markets staged a sharp late rebound, aided by value buying and a record rupee surge following RBI's clampdown on speculative currency trades that may have unwound up to $40 billion. Yet, macro pressures persist, with West Asia tensions set to inflate India's import bill. Stress is also emerging in the power sector, as coal shortages hit coastal plants ahead of peak summer demand. Meanwhile, tax scrutiny on global trading firm Jane Street and fresh opportunities from tech layoffs signal shifting dynamics across finance and IT.

The Lunar Society: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long.During this time, what we know today as the better theory can actually make worse predictions.And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don't even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy!Watch on YouTube; read the transcript.Sponsors- Jane Street loves challenging my audience with different creative puzzles. One of my listeners, Shawn, solved Jane Street's ResNet challenge and posted a great walk-through on X. If you want to try one of these puzzles yourself, there's one live now at janestreet.com/dwarkesh.- Labelbox can get you rubric-based evals, no matter your domain. These rubrics allow you to give your model feedback on all the dimensions you care about, so you can train how it thinks, not just what it thinks. Whatever you're focused on—math, physics, finance, psychology or something else—Labelbox can help. Learn more at labelbox.com/dwarkesh.- Mercury just released a new feature called Insights. Insights summarizes your money in and out, showing you your biggest transactions and calling out anything worth paying attention to. It's a super low-friction way to stay on top of your business. Learn more at mercury.com/insights.Timestamps(00:00:00) – Kepler was a high temperature LLM(00:11:44) – How would we know if there's a new unifying concept within heaps of AI slop?(00:26:10) – The deductive overhang(00:30:31) – Selection bias in reported AI discoveries(00:46:43) – AI makes papers richer and broader, but not deeper(00:53:00) – If AI solves a problem, can humans get understanding out of it?(00:59:20) – We need a semi-formal language for the way that scientists actually talk to each other(01:09:48) – How Terry uses his time(01:17:05) – Human-AI hybrids will dominate math for a lot longer Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long.During this time, what we know today as the better theory can actually make worse predictions.And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don't even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy!Watch on YouTube; read the transcript.Sponsors- Jane Street loves challenging my audience with different creative puzzles. One of my listeners, Shawn, solved Jane Street's ResNet challenge and posted a great walk-through on X. If you want to try one of these puzzles yourself, there's one live now at janestreet.com/dwarkesh.- Labelbox can get you rubric-based evals, no matter your domain. These rubrics allow you to give your model feedback on all the dimensions you care about, so you can train how it thinks, not just what it thinks. Whatever you're focused on—math, physics, finance, psychology or something else—Labelbox can help. Learn more at labelbox.com/dwarkesh.- Mercury just released a new feature called Insights. Insights summarizes your money in and out, showing you your biggest transactions and calling out anything worth paying attention to. It's a super low-friction way to stay on top of your business. Learn more at mercury.com/insights.Timestamps(00:00:00) – Kepler was a high temperature LLM(00:11:44) – How would we know if there's a new unifying concept within heaps of AI slop?(00:26:10) – The deductive overhang(00:30:31) – Selection bias in reported AI discoveries(00:46:43) – AI makes papers richer and broader, but not deeper(00:53:00) – If AI solves a problem, can humans get understanding out of it?(00:59:20) – We need a semi-formal language for the way that scientists actually talk to each other(01:09:48) – How Terry uses his time(01:17:05) – Human-AI hybrids will dominate math for a lot longer Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Dan Harris is a chief meteorologist at the UK Met Office - https://www.metoffice.gov.uk/See him talking weather equations on Numberphile - https://youtu.be/YmZiq00CO60Dan's websites - https://www.roostweather.com/ and https://istheukhotrightnow.com/Check out some Met Office archive stuff at Brady's Objectivity channel - https://www.youtube.com/playlist?list=PLd5y2WfrtsPrauSfrdFfkE7iZ-KG9pCzOWeather videos on Brady's Sixty Symbols channel - https://www.youtube.com/playlist?list=PLcUY9vudNKBNpsv8AWUvJxbOl6S2pw8so Numberphile is supported by Jane Street - https://www.numberphile.com/jane-streetWith thanks to the Ben Delo Foundation - https://delo.org/You can support Numberphile on Patreon - https://www.patreon.com/numberphileHere are our Patrons - https://www.numberphile.com/patronsNumberphile is created by Brady Haran

Claude Cowork came out of an accident.Felix and the Anthropic team noticed something interesting with Claude Code: many users were using it primarily for all kinds of messy knowledge work instead of coding. Even technical builders would use it for lots of non-technical work.Even more shocking, Claude cowork wrote itself. With a team of humans simply orchestrating multiple claude code instances, the tool was ready after a brief week and a half.This isn't Felix's first rodeo with impactful and playful desktop apps. He's helped ship the Slack desktop app and is a core maintainer of Electron the open-source software framework used for building cross-platform desktop applications, even putting Windows 95 into an Electron app that runs on macOS, Windows, and Linux.In this episode, Felix joins us to unpack why execution has suddenly become cheap enough that teams can “just build all the candidates” and why the real frontier in AI products is no longer better chat, but trusted task execution.He also shares why Anthropic is betting on local-first agent workflows, why skills may matter more than most people realize, and how the hardest questions ahead are about autonomy, safety, portability, and the changing shape of knowledge work itself.We discuss* Felix's path: Slack desktop app, Electron, Windows 95 in JavaScript, and now building Claude Cowork at Anthropic* What Claude Cowork actually is: a more user-friendly, VM-based version of Claude Code designed to bring agentic workflows to non-terminal-native users* Why “user-friendly” does not mean “less powerful”: Cowork as a superset product, much like how VS Code initially looked simpler than Visual Studio but became more hackable and extensible* Anthropic's prototype-first culture: why Cowork was built in 10 days using many pre-existing internal pieces, and how internal prototypes shaped the final product* Why execution is getting cheap: the shift from long memos, specs, and debate toward rapidly building multiple candidates and choosing based on reality instead of theory* The local debate: why Felix thinks Silicon Valley is undervaluing the local computer, and why putting Claude “where you work” is often more powerful* Why Claude gets its own computer: the VM as both a safety boundary and a capability unlock, letting Claude install tools, run scripts, and work more independently without constant approval* Safety through sandboxing: why “approve every command” is not a real long-term UX, and how virtual machines create a middle ground between uselessly safe and dangerously autonomous* How Cowork differs from Claude Code: coding evals vs. knowledge-work evals, different system-prompt tradeoffs, longer planning horizons, and heavier use of planning and clarification tools* Why skills matter: simple markdown-based instructions as a lightweight abstraction layer for reusable workflows, personalized automation, and portable agent behavior* Skills vs. MCPs: why Felix is increasingly interested in file-based, text-native interfaces that tell the model what to do, rather than forcing everything through rigid tool schemas* The portability problem: why personal skills should move across agent products, and the unresolved tension between public reusable workflows and private user-specific context* Real use cases already happening today: uploading videos, organizing files, handling taxes, managing calendars, debugging internal crashes, analyzing finances, and automating repetitive browser workflows* Why AI products should work with your existing stack: Anthropic's bias toward integrating with Chrome, Office, and existing workflows instead of rebuilding every app from scratch* Computer use one year later: how much better it has gotten, why vision plus browser context is such a superpower, and why letting Claude see the thing it is working on changes everything* Why many “AI verticals” may get compressed: specialized wrappers may matter in the short term, but better general models and stronger primitives could absorb a lot of narrow use cases* The future of junior work: Felix's concerns about entry-level roles, labor-market disruption, and whether AI can compress early-career learning into denser simulated experience* Why Waterloo grads stand out: internships, shipping experience, and learning how real teams build products versus purely theoretical academic preparation* The agentic future of the desktop: what it means for Claude to have its own computer, whether AI should act on your machine or a remote one, and how intimacy with personal data changes the product design space* Why Electron still mattered: shipping Chromium as a controlled rendering stack, the limits of OS-native webviews, and why browser engines remain one of the great software abstractions* Anthropic's Labs mentality: wild internal experiments, half-broken future-looking prototypes, and the broader effort to move users from asking questions to delegating increasingly long and valuable tasks* Why the endgame is not just more capability, but more independence: teaching users to trust AI with bigger scopes of work, for longer durations, with fewer interventionsFelix Rieseberg* X: https://x.com/felixrieseberg* LinkedIn: https://www.linkedin.com/in/felixrieseberg* Website: https://felixrieseberg.com/Anthropic* Website: http://anthropic.comFull Video PodTimestamps00:00 — Cheap execution and building all the candidates00:44 — Intro in the new Kernel studio02:47 — What Claude Cowork is04:18 — Why user-friendly can be more powerful05:33 — How Anthropic built Cowork07:09 — Prototype-first product development08:00 — Why local computers still matter09:20 — Skills, primitives, and platform leverage12:13 — Cowork's architecture: VM + Chrome + system prompt15:38 — Felix's own bug-fixing Cowork workflows17:38 — Local-first agents20:16 — Evals, planning, and knowledge-work optimization23:14 — What Anthropic means by evals24:21 — Scaffolding, tools, and why skills matter27:44 — Demo: YouTube uploads and self-generated skills31:03 — Calendar automation and cleaning your desktop34:47 — Browser context and why DOM access matters37:47 — Skills portability and plugins44:36 — Which AI categories survive?46:19 — Junior jobs, simulated work, and labor disruption52:00 — Gradual takeoff vs big-bang takeoff53:42 — Finance, taxes, and enterprise verticals56:24 — Vision and the improvement in computer use57:31 — Why Claude writes its own scripts58:06 — Should Claude have its own computer?1:01:26 — Windows 95 in JavaScript1:03:19 — VM tradeoffs and sandbox design1:07:23 — Approval fatigue and safe delegation1:11:18 — The future of Cowork1:12:27 — What comes next for agentic knowledge work1:15:13 — Electron, Chromium, and desktop software lessons1:22:16 — Multiplayer agents and coworker-to-coworker workflows1:26:05 — Anthropic Labs and closing thoughtsTranscriptAlessio: Hey everyone. Welcome to the Latent Space Podcast, our first one in the new studio. This is Alessio, founder of Kernel Labs, and I'm joined by swyx, editor of Latent Space.swyx: Yeah, so nice to be here. Thanks to, uh, TJ, Alessio, Allen helping to set everything up. It looks beautiful. We even have the logo outside.Yeah, kind.Felix: It's like really nice, right? When you walk in here as a guest, you're like, ah, this is a serious production. You're like, feel it immediately.swyx: Yeah. Felix, you've been, you're, you're currently a product manager of Cowork or,Felix: uh, really Technicswyx: Eng. Yeah. The, the identities are kind of vague member technical staff.Felix: I know member staff is like, the official title will carry around forever.swyx: Yeah. I basically kind of wanted, like we've been. Kinda obsessed. I, I've been using it a lot, even for managing latent space. Like, uh, cowork helps me upload videos and like title things and like edit and everything. It's, it's like really amazing.Alessio: Cool. He said multiple times Cowork has said gi in the group track.swyx: Yeah, yeah, yeah. So, so we have a second, uh, we have a second channel, uh, for latent space tv. Uh, and I, uh, and uh, we basically, this is our Discord meetup. Um, and I I, we have like Claude Coworks, it might be a GI, I don't know if we, we have, uh, uploaded it yet, but one of the sessions was like a, like a Claude cowork thing.Felix: I, you have to see, I would love to see it. Like, I'm so curious, like one of the most fun parts of my job is like constantly see the weird things people use Cowork for because it's obviously like very hard for us to actually design for specific use cases we do. But like every single person who's like most amazed is usually amazed about a thing that I didn't even expect cowork would be good at.Um, we have a new designer and it's one of the first small tasks. I was like, Hey, we need like a new emoji for cowork for our internal stock. It's like a pretty small thing. I like, can you please do it? And he drew an SVG and just gave it to coworker was like, can you animate this emoji? And now it has like this beautiful loopy animation.Um, and I mean, I think obviously this goes down to like, it turns out you can do more things with code than you expected, but it, it's like that kind of stuff that is really fun to me. So, long story short, I would love to see like, the kind of things you're doing.swyx: I'll pull it up. I'll pull it up.Felix: Yeah. Yeah.swyx: Uh, but before we get into it, I, I think always wanna start with like a top level. What is Claude Cowork for people who haven't heard of it? Haven't tried it out.Felix: Okay. Uh, real quick, Claude Cowork is a user friendly version of Claude Code. So the way it basically works is we have Claude Code and for us, fairly impressive agent harness that over December we noticed more and more people are using either, even though they're not technical, they, they're not at home in the terminal or they are at home in the terminal, but they started using Claude Code for non-coding workloads, right?Like managing expenses or like filling out receipts or organizing a knowledge base. Like there was a big obsidian moment that a lot of people liked and we wanted to capitalize on that, but also bring, bring this capability to people who are not terminal native and who might not know how to like brew and store something.So cowork is Claude Code running in original machine with a little bit of padding, a little bit more guardrails, making it a little safer and a little bit more convenient for people who don't wanna first open up the terminal when they go to work.swyx: It's interesting, uh, that is kind of. Pitch that way as a more user friendly thing because I always feel like it, it, to me, I I treat it as like why I'm familiar with Claude Code.Like we, we did a Claude Code episode Yeah. A year ago. But this one is like even more power user tools ‘cause it, uh, it kind of integrates much better with like clotting Chrome and, uh, in all the, all the other tooling. But like, maybe, maybe that's like a perception thing, right? LikeFelix: No, honestly, I don't think you're wrong.This is like a, a thing I've been thinking a lot about for like the last two weeks. So,swyx: but when they say user friendly, it's like, oh, it's the dumb down version. But no, actually this is the superset.Felix: Yeah. Like, I think a similar thing happened, A similar thing happened to me about 10 years ago, like maybe 12 years ago when I was at Microsoft and we started working on, on Electron and like browser-based technologies and cross-platform stuff.And one of the first use cases was Visual Studio Code, which used to be a website. And the initial narrative was, or Visual Studio Code is, is like a more user-friendly version of Visual Studio. But in a similar vein, I think there was some voices saying, oh, this is. For serious developers, like, we're not gonna use this.Right? For like anything. And I think in the end what happened is people have different stories about why Visual Studio Code became such a big thing. But my personal, my personal belief is that the Hackability and the extendability has like played a pretty big role, right? You can hook in Visual Studio Code that like almost any workload, it's so easy to hack on, so easy to put extensions for it.And I think cowork might be hitting a similar thing where it's very easy to extend and it's very easy to bring into your workflows. Uh, so the convenience I think is a bit of a, it's obviously the thing we strive for as developers, but I think the way people find value in it then is by probably mapping it onto whatever they actually have to do in their job.Alessio: So end of last year, you see the spike of like non-technical usage and clock code. What's the design process to say we should make clock code work? Because I mean, you built it in only 10 days. Um, I'm sure there was some discussion before on whether it's easier to use mean. You know, like making, making like a desktop GUI is obviously one way to do it, but like there's a lot of nuance in the product.Like maybe talk people through what was like the trigger of like, we should build a separate thing. We should not build like a different plot code thing. And then maybe some of the more interesting design decisions that maybe you didn't take.Felix: Yeah, I think philanthropic, we've been thinking about ways to move people who are comfortable with using Claude to answer questions and bring more of the power of like this thing to now like, execute tasks for you.I can like solve problems for you can like build things for you. How do we bring that capability to people who are currently mostly comfortable with like a like question answer paradigm within the chat. And we've had a lot of prototypes around that. Just going back as far as like easily a year and a half.Like we had a lot of people working on that. Um, and internally philanthropic is a very prototype demo, first culture. We have a lot of like internal prototypes that don't reach the public. What Cowork actually became is like we sort of picked the right pieces out of the many prototypes that we had.Right. And that's, that's maybe also like, I think an important qualifier whenever people mention this like 10 day number. I do think it's important to me to mention that within Double Scratch there was like a lot of stuff already happening, right? Like, and I think it's important for people to remember that when you build a website, you use React, you use like a bunch of other things.And this is like a similar scenario with like a lot of pieces we already had. Um, and in terms of decision path, I think we live in like an interesting new world where execution is actually quite cheap.swyx: Mm-hmm.Felix: So maybe, maybe what you would do That's so crazy. The year. I know it's wild.swyx: You should be, ideas are cheap.Execution is the hard part. IFelix: know. And like the, we, we used to live in this world maybe where you would take a product manager and the product manager would go to a number of potential customers and in this like very low bandwidth way, would try to. Try to like tease out what are the problems they're having, what are they willing to buy?Um, and then maybe what can you build to like drive out that need and then you go back and you like draft a spec and you think about it and then like you make a design and you execute it. We internally philanthropic app, not pretty much closer to the point where we're like, don't even write a memo, just like build, like let's build all the candidates very quickly.Let's just build all of them and then pick the best ones. I think the, the decision that is most impactful both for the product as well for the users right now is like the way we put value on your local computer. I think that's a big decision point a lot of people have thought about. Should this thing, whatever it is, should it ultimately run into computer or should it run in the cloud?‘cause they're big trade offs, right?Alessio: I guess like if we solve auth, it would be easy to do in the cloud. But I think like the fact that I can just download any file from anywhere and then put it and cowork there, it's like a big unlock. Um, I mean it's interesting you mentioned reusing certain pieces. I think this is something I've been thinking about even with Claude Code, right?The price of like writing code is going to zero, blah, blah, blah. But it actually seems like the value of having some sort of platform substrate is like increasing because as you build these new things, you can kind of plug them together.Felix: Yeah.Alessio: So I almost feel like when people are saying, oh, the value of a lot of software is gonna zero because you can recreate it, to me it's almost like the opposite.It's like having an existing platform to build on top of. It's like even more valuable because you can kind of bolt things on.Felix: Yeah.Alessio: You have obviously mcps, you have skills, you have like obviously the models, which is a big part. All these things kind of come together. Do you feel like that's a valid way to think about it, where people should invest even more in kind of like primitives.To rebuild on or are you like recreating a lot of it each time because like things change and it's easier to rewrite than reuse?Felix: You know, I think, I think you're right. I think you're right that the holistic platform is really useful. And this is maybe a whole like a somewhat contrarian view to a lot of people in ai.I actually don't think that the future is going to be hyper personalized software down to the point where everyone is running their own version. Like, I actually think it's going to be quite hard for all of us to have our own internal chat tool and like, if I wanna talk to you, likeswyx: howFelix: is that gonna work, right?In the, in the context of cowork and how we build it, I think it's a bit of a combination. Like what the, the execution that gets cheap is not necessarily rebuilding all the primitives. I think our priori, there's also not a lot of value in it. So for instance, my team did not think about rebuilding clock code.We're like very much started with the. The core thesis of this should be Claude Code.Mm-hmm.Felix: And then we'll like build things on top of it. The part of the execution that gets a little cheaper is like, how do you take all of these Lego pieces and put them together in a way that makes sense for users?It's like actually valuable. You have so many different approaches now in terms of what kind of, what kind of things do you actually elevate to a primitive, do you strongly believe that all your products should be built by just combining primitive that the public also has available? Do you keep some things internal?Um, and I think that's still evolving, but I think what's probably gonna go away is like, I'm not sure if it's gonna fully go away, but I'm gonna say, I think for me personally, I will probably no longer try to come up with a really good product without testing up with people. This is not a new concept, but wherever you used to have to make costly decisions around, do we pick technology A or technology B, or do we like, um, build it this way, build it the other way.I really strongly believe now you just build all of them and try them out with a small focus group and then whatever, whatever is better is what you go with. Right. And that, that is probably quite different even from how we maybe worked a year ago. Right. Like, I think, I think this happened very recently.Alessio: Yeah. I started building something in on Electron since you're here. Coincidence. Uh, but then Electron and like SQL Light are like, there's like some issues that like between development and like, uh, building anyway. And I was like, let's just rebuild the whole thing in Swift and just recreated the whole thing in Swift.And it's like, I. It's done.swyx: You know, I didn't take any effort. I, I, I don't even know Swift.Alessio: Yeah, exactly. I was like, I'm the, I'm not reviewing it anyway, whatever. You can write in whatever language you pick, but the important stuff that I did was not write the electron bindings. Yeah. It was like the logic of what happens in the app, you know, and then the model is like, yeah, I can just recreate the same thing as withswyx: Yeah.I, I think you still want, especially for people who are doing like high performance software or like very complex software, uh, you still want like, some view of the architecture. Uh, but you can use markdown for that,Felix: right? Yeah.swyx: Uh, you don't actually have to read the code again. I, I'm still like on a sort of like a definitional thing.Um, can we build a good mental model of Claude Cowork? Um, this is what I have, right? Like you you said it's like fundamentally cloud co. We don't wanna touch it. There's the cloud app, there's clouding Chrome. I think you guys do something different in planning, but, uh, I've been talking with Tariq who is on the cloud co team, and you guys are, he's like, no, we just exposed planning.Maybe we can clarify like, what are the major pieces. That people should be aware. It goes into cowork, like,Felix: okay, I think you basically have them. So really, um, you can, you can take planning more or less out. I think there's a few things that are really valuable in cowork. Um, the virtual machine is probably the most powerful thing.So we currently run like a, we currently run like a lightweight VM and we put clocked out into the vm and we do that for, for, um, a number of reasons. Safety and security is a big one, but even if you, even if you ignore for a second safety and security and you're just like, okay, Yolo, I want this thing to do whatever.It is quite powerful to give Claus on computer that is like generally a good idea. And in terms of architecture and UX and everything else that we've been working on, philanthropic, it often is quite useful for you to like anthropomorphize, um, clot aggressively and just be like, this is a person. What will you do if you give a, if you had a person, right?Yeah. And the analogy I've given my dad this morning who is still like quite insistent on using chat even for like coding things, is if you were a developer and your employer told you that you don't need a computer, they're just gonna like, send you emails with a code and you send emails with code back like that, maybe work for Patrick Miles in the back, but that it's not very effective.Um, so what we can do with the VM is because it's a, it's a Linux system, Claude Code has more or less free reign to install whatever needs to install. It can install Python, it can install no js. We do have strict network ingress and egress controls. So you can still, as, as a user in like plain human language, make it clear to, to the entire system what you're okay with and what you're not okay with.But at no point do we have to ask a real person, like a, like a person who might be in marketing or a lawyer. I'd have to go to a lawyer and be like, are you okay with me installing Homebrew?Alessio: Yeah, yeah.Felix: Right. Because the implications of the question and the answer are complex and nuanced and like, not, not easy to reason about.This gives us a lot of distraction that makes Cloud very powerful. Now then around it, we, we do probably have a number of things that also keeps growing almost every single week that you're probably noticing that make cowork maybe better for certain tasks than just cloud. Cloud on its own. Yeah. But most of those actually live in the system prompt.They're about like, what can we infer about the work that you do? What can we, what can we intru in the system prompt to make that more effective? It's of course the like very tight integration with Cloud and Chrome. You're noticing that a lot of people, especially as the models get better, a lot of people throw up their hands when it comes to MCP connectors in this area.I'm not gonna, I'm not gonna go through like 25 M CCP connectors, click off everywhere and then like half of them don't let me do the things anyway. So Cloud and Chrome is quite powerful because we can just talk to the cloud and Chrome sub agent and that will just do things for you.swyx: Yeah, so, so one example right in MCPI, honestly, I think that the state of MCP is kind of, kind of.Really hard to integrate. Um, I need to, I needed to add, uh, Figma MCP to the coding agent that I use.Felix: Yeah.swyx: Uh, and, but I didn't wanna read the docs, so I just had caught to it. And it's, it's great at reading docs and the same, same way I had to set up like a Google Cloud, um, account for some project I was working on and get some API keys somewhere.And Google Cloud is famously super hard to navigate, so I just didn't wanna deal with any of it. I just used Claude CoworkFelix: within the first week of developing on Core. This happened very, very quickly. Um, I caught myself by starting to use cowork for coding tasks, which is not ostensibly what we built it for, right?We don't need to. But I found myself, um, I found myself like on our internal, internal tool that we have for, to collect crashes and just like debugging information and I found myself sort like picking out the ones that I think we can easily fix versus the ones that might be like kernel corruption or something else on the operating system.And I found myself sort of picking these out and then just telling Clark, go fix this bug. I was like, what am I doing here? Go one level up, tell a cowork, I want you to go to all these crash tools. I want you to find all the bugs that you think are fixable and not like an operating system crash. And then I want you to tell another cloud to like fix all of that.Um, and that's, that's, that's sort of another cloud,swyx: just so it can spin up another instance or,Felix: uh, it, currently what I do is, um, and this is a bit of a hack, but I tell it to use clockwork remote to which website itself? Yeah, that's interesting. So you basically take, if you, if you imagine like a dashboard with like 20 bucks, you, this is remote control or clock or remote, or, sorry, I just wanted to confirm what, the way I'm using it is.I have cowork running and I'm telling cowork, here's where I normally go every morning to find the latest bugs. Go read the entire bug list, separate out which ones are fixable, which ones are, are fixable, and then for the fixable ones, four is this almost loop. For each bug, write a markdown file with a prompt.And then for each markdown v, that is a prompt. Start of a cloud set. So natively Claude Code hasswyx: this concept of subagents. Mm-hmm. And this is basically a subagent, but you're not using the subagent functionality.Felix: I'm not using the subagent functionality. And the reason I'm not is because I'm firing that off as a Claude Code remoteswyx: task.Felix: Yes. That's kind of nice. ‘cause then I can just fire it off. I can go to my next meeting and in Claude Code remote. Now the work is happening.swyx: Mm-hmm. Yeah. You, you see like you're already starting to use the cloud over your local machine. And I think this is one of those things where like. Shouldn't just everything just be cloud first, right?Felix: Ah, this is such a good group. I'm like solely bad about this. I have so many thoughts about that. Okay. So I generally believe that Silicon Valley overall is undervaluing the local computer. And my default argument for that is always how come we're all using MacBooks and not like an iPad or a Chromebook?Um, that there is like still value in, in having a local machine. And now when I think about Clot, it's this entity that is supposed to be very useful to you, like it tremendously useful to you. I think that entity needs to have access to all the same tools you have access to. Otherwise it's gonna be hamstrung in like all these complex ways.And there's, there's sort of two approaches we could take. We could say, okay, we're gonna like one by one chip away at everything that is at your computer and move it into the cloud. That's, that's one way to do it. Um, and I think other products have taken that path. I personally, this is a very personal opinion, but I personally, for the amount of tools that I use.Just don't have the patience to give another tool like permissions to every single thing and keep those permissions up to date. The second thing that I'm still grappling with, and I don't have a good answer for anyone just yet, but the second thing I'm still grappling with is what does it look like for someone to slurp up your entire work and put that in the cloud?Like if I, just as an example, like if you could click a button and it just clone your entire computer into the cloud, is that something that you would want? I'm not totally convinced yet that all everyone will. Mm-hmm. And that is sort of like upstream of all the technical issues we're gonna have. ‘cause like in general, I think the world is not ready for this kind of stuff.Like, I'll give you one quick example that would probably be very easy for us. So as a desktop app, we in theory with your permission, can do a lot of things on your computer, including reading your Chrome cookies. If we really want to do right, we could take your Chrome cookies, you would have to decrypt them for us.We could put those on the cloud if we really felt like it. Pretty easy solution. That would be super cool. We could just be like, oh, we can do all your tasks in the cloud now. Um, a lot of websites, thanks, include it. If, if they see the same authentication from like two different locations, we'll just lock down your account and now you have to go to the branch and be like, okay, I, I'm here with my passport.You actually know that. Wow. Yeah. As tired as well are of the term agent for the age agent future, I think there's a lot of stuff that sort of slowly needs to catch up and until that's the case, the way I, as someone's working on clock and make Cloud most effective is to like put it where you are working.swyx: Anything else? I thought with our mental model, so like, basically like, uh, part of me also just want, like the more I understand how it works, the more I can use it to its full potential. Right?Felix: Yeah.swyx: And so what I'm get hearing from you is you told me to delete the planning thing. You're not doing anything special on, on the, that's only exclusive to Qua cowork.Felix: We have some tricks for this sort of like change week over week. We eval cowork maybe against different use cases than he would evil clock code, right? If you think about it this way. Okay, so like clock code is our eval clock cowork. Yeah. So clock code is like quite optimized for coding tasks and we mostly value it whether or not we're getting better or worse depending on how good it is at like a typical suite job.And Clark Cowork on the other hand, we evaluate more against typical knowledge work, the kind of stuff he would find in finance or in like maybe a, like in like a legal office. Um, my personal use case is always like managing my things, like managing my personal mortgage or something like that, right? Or like wealth planning for me and my family.Those are the kinds of use cases we eval, clock cowork on. And what you might be picking up on is like the subtle changes we make to the system. Prompt what we put in the system, prompt how we steer, clot with the tools we give it. Um, like either it'd be better in one or the other direction and whether there's a trade off, try us exist a lot.CLO code will be better of a code and Claude Cowork will be better. For non-coding tasks, will those gaps still exist in the next three generations of models? It's like a little unclear to me though.swyx: Yeah,Felix: because right now these like hyper optimizations we make, I'm not sure for how long they're still be relevant.swyx: I think what I was referring to was also, it, it just, uh, it qualitatively felt different when I probably, it's just all prompting and I'm reading too much into it, but like the, the fact that it comes out with like a nine step plan, I can edit the plan and give feedback and, and, and see it execute the plan.Yeah. It felt more long range than in Claude Code, but maybe that already existed in Claude Code and you just build a nicer UI for it.Felix: It's kind of both. Um, like if the Clark Code people who build the planning functionalities would city, they probably say yes, we have all of those things in Clark code and they do.Um, I think people tend to give cowork. Tasks that are maybe of longer time horizon, I thought isswyx: so long. Yeah.Felix: That's like one thing, right? It's just like that the, the chunk of work tends to be maybe a little bigger. And then the second thing is that because the work, when it gets longer, it gets a little bit more ambiguous.We do tell co-work to make heavy use of the planning tool or to make heavy use of the ask user question tool, right? We do want it to come up with like. Different scenarios of, okay, tease out what the user actually wants. Don't go off to work for like four hours and then come back with the wrong thing.And you're probably picking up on that.swyx: Yeah.Felix: Um, I wish I could tell you I like built this magical thing and it's like, there's some secret sauce,swyx: but No, no, no. I mean, it's, it's just clarity is good that, you know, engineers just want to know. Yeah. They can, they can plan around it. And then I think also for me, um, I am realizing I have to switch to my, my other machine because this is a new machine that doesn't have my session.But, uh, yeah, the, the, the planning is really important for, for me to like approve or like to see whether it's like, it's right. The ask is, the question is so beautifully presented. I mean, it also, it also available in like cursor and, and in Claude Code. But like, I, I think like it's so nice to see that it, like it's kind of for me like to understand that it gets me, it gets what I want to do.Felix: Yeah.swyx: Yeah.Felix: It probably very hardswyx: just on the topical evals. Mm-hmm. When you say eval, I think people are very vague about what it means. Is it just like vibe testing or do you have like automated programmatic evals of Claude Cowork?Felix: When we say eval, uh, what we really mean is that we essentially take the entire transcript, including all the tools that clot has available ultimately to it, and we then measure what are the outputs, depending on what we tweak, right?So we do run that a lot. We use that in training. Um, we use that in, in like, if you sort of separate out post training from like the scaffolding around it. Cowork sort of exists in the scaffolding space, but obviously we also train on it a little bit. Um, so when we say eval, we mean given the certain transcript, what do the outputs look like?Including the file outputs as well as like the actual token outputs, like the ones that you see in the chat window.Alessio: I'm curious, um, how much of the failure modes are the model intelligence versus like the usage of the end tool to put the intelligence in? Like the well planning is like a good example, right?It's like one thing is to come up with a plan. The other thing is like make a nice spreadsheet. Yeah. That kind of runs you through the plan. Like how have you seen that? Well,Felix: the thing that I grapple with a lot is that whatever scaffolding you come up with, I think we still have a bit of sort of like model overhang where the model is dramatically more capable than right.Users end up using it for. And I think part of that is that we're just not getting the model all the tools to do all the things that's theory capable of, right? There's like one thing, um, however, whenever you do build the scaffolding, I'm sort of wondering at what point, at what point will that scaffolding go away and like how much you invest in figuring out what the right scaffolding is.It's kind of up to, it's a little bit of a bet. And one thing that I as an NJ quite enjoy is that like working in philanthropic and working at a frontier lab, I maybe have a little bit more insight into what's coming, coming down the chute in terms of like, what's the next model, what is the model capable of?What is good at, what is it bad at? And I'm, I'm increasingly wondering, is the right thing for us to like really invest too much in sort of these like scaffolding corrections where the model might otherwise not misbehave, but just not do the thing that you want?Alessio: Yeah.Felix: Or is it to just like give it as many capabilities as possible, try to make those safe so there's the worst case scenarios, likeno status might be otherwise.And then just simply wait a second for the next model drop. I'm personally, currently more leaning into the ladder. I think we're gonna see a lot of like applications and companies that do very impressive things with ai that in the short term might seem very effective ‘cause they're very specialized to individual use cases.But I think once models get better generalization and get better at like those specific use cases without being super guided on those, I'm not sure how long that's gonna stick around. And you can kind of, kind of already see this in like skills and NCP servers, right? Mm-hmm. We've, we've already seen sort of this like slow shift from MCP service to skills.And like, maybe a good example is Barry who made skills. He was initially hacking on something that honestly looked a lot, looked, looked a lot like what Cowork does today. It was sort of thinking about what if cowork, but for like people who don't wanna build code. Mm-hmm. And, um, he too did that as a prototype inside the desktop app.One of the first use cases we thought of were, okay, what, what are like coding like use cases that could really benefit from graphical interfaces and like from being a little separated from the actual underlying code. And everyone comes with the same answers. Data analysis,Alessio: right?Felix: Yeah. Or saying how many users do we have today?How many, like, it's always data analysis. And I think the thing that ultimately led to skills is that we wanted to connect this little prototype to our data warehouse and. The team very quickly discovered that like instead of building a custom tool for the thing to talk our data warehouse, they just like meet and embarked on follow like mm-hmm.Dear Claude, if you want to get data, here's the end point. Here's what the API looks like. You'll figure it out.swyx: Ah.Felix: And then it be hand over control. Yeah, yeah. Also just like maybe go one step up in the layer of abstractions, right. Just, yeah. Instead of, instead of telling the thing, here's ACL I, please call the CLI, or here's an MCP.Please call this ECT shape. Just like this is the end point. If you wanna know something, if you post here, maybe you can do post sql. It's gonna be okay. And that ended up being so effective that they started trying the same pattern of like just giving the model a markdown file that describes whatever it needs to do.That the whole thing eventually became skills and we're like. We should package this up. This is a good idea.swyx: Yeah. Um, we've had Barry Mahesh, uh, on, on our conference and uh, he's uh, definitely got a good idea there.Felix: Yeah.swyx: I wanted to show you the, how I've been using Claude Cowork.Felix: Uh, this is was my favorite part.swyx: This is this. So this is like me, uh, this is how we run the Discord. Uh, we literally, uh, at first I didn't trust Cloud Core. This was my very first usage.Felix: Okay.swyx: Right. So then I was like, okay, I will just try to manually download from Zoom all my recordings and upload it to YouTube. Yeah. Because this is a very laborious process.I got a click, click, click YouTube, um, isn't super user friendly. Uh, and it just did it. And then I was like, actually, you know, even the download from Zoom part, I should also. Put into Claude Cowork, and then I did it right. Here's a bunch of, and it starts compacting here, and it, and it, it starts to even be able to do things like look through the individual frames of the video to name the video so I can upload it auto automatically.Oh, that is, and this replaces my job as a YouTuber. We will forever appreciate your creative Yes. You know, and so that's great. Uh, but then by the way, it compacts and makes, makes like a new thing, right? So I, I don't, I don't have the initial, initial thing, but then I asked it to make its own skills so that it, so that something that's repetitive and one-off and human guided becomes more automated and I can use the skills independently and reuse them.Uh, and it obviously you can write skills and that goes into context and skills at the bottom here, which is, which is so nice. Um, so I have all these skills that, that I now sort of do on a weekly basis. Uh, I know you've released scheduled Coworks, which I haven't done yet, butFelix: course I should try them. I, I think this is like so wonderful and fun for me to see because.One thing that is very fun for me about skills in particular is that they're so easy to make. Like anyone can make a skill, like a text message, could be a skill, and they can be so hyper personalized to you. And this is like sort of the subtraction layer, right? Like, um, I, I'm just guessing, but I assume, heck, you are very good at your job.You're probably given this thing some guidance about how to do it, right? I,swyx: I just said, wrap everything up into, into a skill, right?Felix: Yeah.swyx: And then, uh, and then I was like, actually, sometimes I might need to break, uh, things apart because some parts fail or some parts might be needed in individually. So I told it to split one skill into three skills.So it's like a skill splitting thing, and then there's like a parent skill that just orchestrates all of them if I want to use that. You know, like, um, I think that's, that's like really good. Uh, and, and, uh, there's, there's one more part, which is the, uh, Google Chrome thing that I told you about.Felix: Yeah.swyx: Where I'm like, okay, you know, what's better than uploading, using Claude Coworks to YouTube?Like actually. Looking at the docs to like programmatically upload to YouTube and then putting that in a skill. And I've never done that before. I don't want to deal with Google Cloud. Yeah. So Claude Cowork does it for me.Felix: That is really cool.swyx: So, so I, I just, I don't care. I just, like, I do a thing. I don't, it doesn't really matter.Felix: That is really cool. And then you've, I assume paired the skill just with the script that it's built.swyx: Yeah, no, I just update, update the skills.Felix: Oh, that is beautiful. Yeah. That's wonderful.swyx: It's kind of like a skill, like, uh, uh, basically I think like the way that people ease into Claude Cowork is like take a knowledge work task that you would normally be clicking around for and then, uh, try to turn, turn that, and then you do the, okay, well what if you went further?Okay. And then when, if you went further, when, if you, and it sort of expand the scope of cowork as you gain trust with it and, and also teach it how to replace you.Felix: Yeah. It's like a little bit like playing factorial, but for your own life. Uh, like you say, you start really small.swyx: Yeah.Felix: You start automating something really tiny and like.Once it clicks, you keep adding onto this like automation empire. Just like make your life easier and easier. My favorite skill has been, um, every single morning Kohlberg starts looking at my calendar and make sure that there's conflicts because people tend to schedule a lot of meetings, sometimes last minute, sometimes miss it soft and painful.And a lot of products have existed like that A lot. I've written in the custom prompt there. I haven't made it a skill, um, honestly should.swyx: Yeah.Felix: But I've given it like pretty clear instructions about okay, here are some people, if they book over other meetings, I'm probably gonna go to their meeting. Like if Dario schedules a meeting.swyx: Right.Felix: Not try to reschedule down. Right. Um, and I think there's some other rules in there about like what kind of meetings I care more about what kind of meetings I care less about. What is okay to like, maybe pun like when I want to be, when I want to be working, when I don't want to be working. And it's those really small things that I can think kind of click with people.Right. When we launch co-work, I think one of the US races that went most viral on Twitter. X was clean up your desktop, which is stuff, because silly, that's such a smart thing, right? Like you don't need to model to clean up your desktop. Not really. Um,swyx: like this, like clean up my desktop.Felix: Yeah, exactly. Yeah.swyx: I need to, I need to choose my desktop, right? I guess give it access to my desktop.Felix: Yeah.swyx: Okay. Uh, okay. This is very scary. Oh, we'll do it.Alessio: I did, I did it with my downloads folder. It was like, you have so many term sheets and there's like eight copies of your rental lease for your office. I was like, all right.Like, don't yell at me.Felix: It's like, it's not such a small task. And then like, I, I would never go out there and normally otherwise and tell people I've pulled a product. It can organize your folder. Right. Um, because it feels small. But I think to your point like,swyx: oh, here's, here's the, here's the ask user questions.Felix: Yeah.swyx: Uh,Felix: beautiful. Right. Elite obvious junk. You probably shouldn't click that.Alessio: No.Felix: If he's not done right.swyx: As long as it's reversible, I don'tAlessio: make up blend to,swyx: yeah. Uh, yeah. No, I, I have a, I have a typical, everything is super messy folder. So, yes. I think this, this is super helpful. So this is a pretty simple task.Mm-hmm. But I've, okay, here it is. Right. Here's the progress. I don't see this in, that's why I'm like, this gotta be something different than, uh, than Claude Code, because I'm like, weFelix: do. Yeah. That's, we do system prompt that. We're like, all right. We want you to think about like, this task Yeah. Methodology.Yeah.swyx: And then I can, I can, I can do like little suggestions for, for, for these things. It's beautiful. Look at this. I, I can, I can like say like, oh, don't do that. Don't do this. It's amazing.Felix: I'm so happy. You like it. Um, I mean, the other way around, like we're part of the Clark core team, if you would like this in Clark COVID.swyx: Yeah. Yeah. Yeah. Uh, so, so yeah, I mean, uh, this is really good. Obviously I, I'm like kind of raving about it. Uh, you know, I have other things like sign up for pg e so if you can do phone calls for me, that'd be great. Um, I, I do, peopleFelix: have done that. Obviously you can't do that natively, but people have done that with like, various other providers.swyx: Yeah. Uh, and then this is like signing up for the Figma MCP. Um, I, I really am trying to do like everything, um, data analysis as well. I do think, um, oh, design to code, uh, very, very good. Right? So like, here's a Figma file, take it. And then this is where like a lot of other tasks is like knowledge work, like replace my manual clicking, but this is no, I would normally use Claude Code or uh, Claude Code for this, but because I perceive that you have better Chrome integrationFelix: mm-hmm.swyx: I, I think you can actually do a better job of this. And I, this, this is one shot at my, uh, conference website.Felix: That's pretty cool. Like at some point I would love to like, hear how you feel about code. In the desktop apps, which is like I never use, which is the, the same team. Same team.swyx: So I use the call code in terminal, which I, I perceive to be the default way of cloud coding.Felix: So one thing this has,swyx: sorry, I'm just like, I'm notFelix: here, I'm not here. All products. Can I talk about other stuff? Like I, I'm not sure if people out there wanna like hear me advertise my stuff for like an hour. Please do that. Um, this thing is like a builtin browser, which is a thing a lot of products have said.Yeah, it's a builtin browser. And I think giving cloud eyes into like what you're actually working on makes it so much more effective. And that's probably what you've seen in cohort because it can see Chrome, it can like debug the dom, it can like see things. Um, that does make it more powerful.swyx: Yeah. So, so I think, uh, my mental model was kind broken.‘cause I only use this cowork because I thought it had a, a browser thing in it. But I understand that the Claude Code app. The app version of Claude Code does have a built-in browser. I've seen, I've seen this preview thing.Felix: Yeah.swyx: I just, I've never used it.Felix: But in the end, in the end, you sort of have it by hard.Yeah. You basically get the same thing. Right? Like the, the, the additional skill that you're describing is chart is better if we can see what it's working on. Right. That's, that's sort of like the summary here and like whether it's using your Chromeswyx: Yeah.Felix: Or it's just like making up its own little like browser.It doesn't really make a big difference because either way it's gonna see what it's working on and that just makes it much better. And then you don't have to run QA for your cloud.swyx: Why doesn't it pick up my existing Claude Code sessions? ‘cause I, I mean, obviously I've used Claude Code, but Excellent question.Um, don't have a good answer other than like, we're honest. Just haven't Yeah. This is what the Open AI team does. Okay. Uh, cool. I I I don't have other, like, I, I just, I, I do wanna expand people's minds and also maybe show people if they haven't really done it, but like, I, I think it's very interesting how I sometimes use this more than I use, I mean, I use dia, right?Yeah. Um, I, and I use, uh, I've used like all the other agentic browsers and philanthropic didn't have to build an agentic browser because you just had Claude Cowork and that's enough.Felix: Yeah. I also think like maybe integrating with number of excellent browsers out there, it's like currently on my personal priority list, a little higher than like trying to rebuild a browser from scratch.Yeah. You know, never say never, but I think going back to this idea of like, we wanna plug this into an entire existing workflow, I think our goal is actually to not replace any of the applications we have in your computer. But instead of like, work really well within a new workflow,Alessio: make the new one. Yeah.Are, it seems that nowadays, especially on the browser, most of the innovation is like user ergonomics. It's not really like the underlying browser engine. So I feel like to call it, it doesn't really matter if it's like the, uh, or Chrome or Alice, whatever.Felix: Yeah. We wanna, we wanna meet you wherever you are.Which is like, like obviously I would say that, but it's also just generally true because I don't wanna shrink my potential user base artificially by saying, okay, like, I'm gonna start building for the people who are willing to switch browsers.Alessio: Right.Felix: That's such a, like, you know, like many lawsuits have been filed over who gets to review the browser and like a lot of money has switched hands over the question of like, which browser is default and which search engine is default within the browser.Um, I just wanna build for, yeah, I wanna build for swyx essentially. Like, I wanna, I wanna, I wanna build for people who have a number of annoying tasks that they feel like. Maybe clock could do it. Could do it for them.Alessio: Yeah. What do you think about skills portability? I think there's been one thing, I use another thing called zo, which is kinda like a cloud computer plus agent.And I have a skill to add visitors to the office. Yeah. So whenever somebody has to come in after hours, they need to check in downstairs. Um, but I wanna like text the thing, so it doesn't really work in, in cowork, but now that skill is in the zone harness and it's not in my cowork thing. And then if I make a change, it's gotta, I gotta sync them.How do you see that going? Like I see memory as like. Cloud personal, kinda like, I don't necessarily want my memories to be cross thing.Felix: Yeah.Alessio: But I do want my skills to be cross agent that I use. I think with MTPs, people do the same thing. It's like, oh, Mt. P Gateway. Mt P registry. I don't really know if that's like a business.So I'm curious like if you've had any thoughts in the area.Felix: I think for me, this is sort of where I go back to the really basic primitives for our skills are file-based instead of like this complicated thing that exists inside a place somewhere that is like super proprietary. I'm really leaning into the idea of like, it's all just files and vultures, and that makes it very portable on its own.Right. We do have skills as part of this container format, which was just called plugins.Alessio: Mm-hmm.Felix: And plugins are available both for Claude Code and Claude Code work the same format, and you can install plugins. This works in cowork today. You can basically say, I'm gonna add a whole, like just a GitHub repo as a.Skills marketplace or like a plugin marketplace. And that's how we're doing portability. I think we have a lot of room left to grow in. How do we make it easy for people to know that they can write skills? How do we make it easy for them to just like, share a skill with you? Because obviously all the words I just said, right?Like I'm losing most of the knowledge worker base out there, right. And start by saying, oh, you can connect to GitHub repo. It's not exactly how most people will end up working in like a general knowledge worker space. Um, but I think there's something there. And another thing that's there that I think has not really been properly explored is the, the, the combination of which part of the skill is very portable and then which part of the skill is like very personal to you.Right. And I think that's something we haven't really solved as an industry. Hmm.swyx: It's like, which, how you wanna introduce more structure to the skill or have always have like. Public skill, private skill, you know, pair. Yeah, yeah. Kind of. I think there'sFelix: like a, like the easiest way to do this, which is we do like use string interpolation or something.Right, right. Yeah, yeah. Insert username here, insert like phone number, insert, like known folder, locations, that kind of stuff. Um, that's probably clunky. That's why we haven't built it. Um, but I do think someone is going to come up with like an interesting way to keep everything we like about skills. The portability is just a file, it's just marked down.It's just text, honestly. Right. Like a text file words. The complete lack of structure, which means you don't need any kind of tutorial to write a skill. Just like explain it to Claude the way he would explain it to me and Claude will probably get it before I work. Mm-hmm. Right? You're just like, for booking a flight, tell Claude how to book a flight the same way we tell him somewhere.I just started working here today. But combine that with a very like, personal thing. Um, maybe we'll stick with a booking a flight example. I don't actually think. AI should be booking flights. I think the tools we have is yes.swyx: Yeah. Finally, somebody says it. It's the default demo that everyone's making.Felix: I'mswyx: like, I even against like booking demos, it is not a good showcase.Felix: Yeah. I'm like, I just wanna book my flight myself. But, um, I think there's a lot of things that have a personal and a non-personal component and that's maybe why people reach for flight booking because some things are very universal. Yeah. Super flight is usually better, right? Like few people try to book the most expensive flight.And then some things are quite personal about like what times you prefer, which seat you prefer, which airports you prefer. Combining that and like a skill format that is actually portable, compatible, easy to understand for people. I think that would be very exciting. We just haven't figured it out yet.Alessio: Yeah, I think the text part every, I think everybody by now has some sort of like cloud file thing. Either Dropbox, Google Drive, whatever. So it feels like in a way it should basically like sim link. My skills into all my agent harnesses. Yeah. Just keep those ing like we have internally this like valuable tokens repo, which is like all the commands sub agents.It's good. Uh, and then I build like a TUI where you can start it and be like, you know, install this command and this three sub agents into this agent in this folder and just copy paste this. It doesn't do anything. It literally cp the file into that. But I feel like there should be something similar where like whenever I go into a new thing, it's like, hey, here's like the link to exactly the cloud folder and just bring down these skills into this.Yeah. Like today it doesn't quite work like that. Like if I install a new agent, I cannot, I have to like copy paste all the skills and I don't even know where they are.Felix: Yeah.Alessio: That's like the big problem. It's like where do I find them?Felix: Yeah.Alessio: Um, so I'm curious like in the future like that, that almost feels like my personal productivity thing will be my skills.Felix: Yeah.Alessio: Is not really the product that I use. Everybody has access to the same product. But today there's, that just looks like copy pasting ME files, IFelix: think so many things I, I really like thinking about agents and LLMs just as like another coworker. So many attempts have made to build documentation companies that are like, oh, we're gonna solve oil documentation problems.Um, I myself, like spend a little bit of time working in notion, right? I'm like deeply familiar with the concept of let's get everyone on the same page. Mm-hmm. Right? And what you're basically saying here is you want all your agents to be on the same page about your preferences, about the skills, about the way they ought to work and like how they ought to execute.And I'm not sure what the right thing is going to be if it's going to be some, some company that can say, all right, we're as an independent body, we're not trying to like, push into any particular product. It's our job to be like the skill authority, and we provide, I don't know, we're gonna be the Dropbox of skills and we can just sim link us into all the products we want to use.I'm not sure that's gonna be viable business, but as, as an idea, it would be cool.Alessio: Yeah. Yeah. I think so many things are just going away as businesses. It's like, how am I supposed to do it? I'm not even asking somebody to make a product about it. Like yeah. I wanna personally know. And there's things like you said, it's like you almost wanna skill and then interpolate it between personal and work.So if I'm booking a fly for work, it's different than I'm booking a flight personally.Felix: Yeah.Alessio: In some ways, yeah. But like a lot of the scaffolding is the same, you know? Cool.Felix: I mean, as an engineer I will tell you like, you know, technic a person to technic a person. I will just be like siblings.Alessio: Well that's what, that's what I do.We call that MD and agents that MD's just the same how sim length. And so it is like, that works, but it feels like, yeah, I don't know. MaybeFelix: you can always go one, you can always tell cowork problem and then cowork will solve it for you. Just make the siblings. That's like one way to do it.Alessio: That's true.That's true. All right. Everything is called cowork.Felix: Uh, potentially spicy. Question for both of you.swyx: Uh, which of these industries will go away?Alessio: Okay, so what Felix was saying before is interesting. There's busy like. The short term pressure of like, we need to turn these tokens into valuable things, which is I should build the last mile product that harness the model.And then there's the question of like, long term, which ones are gonna still be valuable? And I think you're kind of seeing this today with like, uh, you know, the coding space in a way is kind of like everybody's moving up and up in stack because you need more than just turning tokens into code. I think search, like enterprise search is kind of saying the same thing.Like with G Clean and like all these different companies is like, at the end of the day, if Cowork is the one doing all the work, the search itself is like such a small part that like, I don't know if I'm really gonna pay that much money just to do search. It's almost like everything is like a cowork vertical.So like how much can cowork first party support?swyx: Mm-hmm.Alessio: And how much can it not? I think for a lot of these things, the planning thing that you were showing do Which one? The planning. The planning.swyx: Okay. Yeah. Yeah.Alessio: That's one thing where like most of the value that these agents provide is like they're better at planning for specific tasks.Yeah. And have better tools for it.swyx: Yeah.Alessio: But I think the models are now moving in that direction and they have the right harnesses and they're on your computer. So for me it's almost like if for the end customer trusts your startup to be the provider of that task result, then I think that works. This is, uh, something that, this is a shortswyx: spike that we're, we're working on.Uh, yeah.Felix: I think, look, I'll, I'll, I'll tell you this, like I don't think I'm the best person to like actually estimate which industry is going to be hit the hardest. But I do think that at philanthropic as a group of people, we're deeply worried about the impact. That the tools are going to have on the labor market, especially for like junior employees that, because I think, I think it's only honest to say that when we talk about automating a lot away, a lot of the work that we personally find annoying that we maybe think's not the best use of our time.In a lot of industries, that kind of work would've been given to a junior entry level employee. Yeah. Right. And I think it's, it's only, it's only right to be really worried about that and like worry what that's going to do in particular to people like enter the shop market.Alessio: Mm-hmm. I have a solution for that.Which you make them, you create simulative jobs for them.Felix: Okay.Alessio: So this is, this is like half joke, half true. So if you think about software engineering, when you're like a junior engineer, you work like 1, 2, 3 years. And in those three years there's like maybe like a handful of moments where like you really learn something.And then a bunch of other days where like you're not really progressing.Felix: Yeah.Alessio: I think now we can use AI and these models to actually like shortcut these careers and almost like simulate the early years of your work and like just make them like super dense and like these learnings, it's like, hey, we're working on this feature, which is like a distributed system and you need to learn this thing that might take three months at a company.And so you take three months here, it's like we're just simulating the whole thing. It's actually not a real thing. And in one week we kind of speed run through the whole thing and you kind of learn your lesson from there. And we kind of repeat that in like one year. You basically get like three years worth of like projects and experience.Yeah. I think it's harder for like things like sales or for things like, you know, marketing because you don't really have a way to get the feedback loop. But I think a lot of it, it sounds kind of silly, it's like you're making the new effect job, but it's almost like you go to college, right? People pay to learn how to do it, and this might feel similar where it's like, hey, we have the.Jane Street Simulator is like, you wanna come work at Jane Street? We'll just put you in the simulator for like three months.Felix: Wow.Alessio: And you'll come out of it. It's like, you know, I'm ready.Felix: So there, there is an aspect here. I'm not an expert enough to like actually know what, what is going to happen to marketing or legal or finance, right?Like, I don't work in those jobs and I, I don't think I should talk about them, but I am an engineer and I think I have a pretty good idea of what engineering is like. And I think one thing we're sort of seeing is that as a company and also as, as the public, we're like deeply worried about entry level, but we're also seeing more senior engineers accelerate it.If like they're more productive. They, they actually increase the value they provide. And the thing that I'm thinking about a lot is the fact that even before all of this happened, um, I've always had a lot of respect for the University of Waterloo and the, the new grads that have joined my teams as from coming from the University of Waterloo always felt like.More ready than new grads will like literally spend their entire time at the university regardless of how good, but never actually had to work inside an environment where you have to ship things that eventually will be used by users. And I'm, I'm, I'm German. I like initially went to German University and I think the, the, the like information systems programs, there tend to be very theoretical, right?Like I often give people the example of like trying

On today's episode, we discuss everything from Bigfoot in Ohio to Bitcoin on Wall Street, all under the banner of Conspiracy Friday. Charlotte, Madeline, and her fiancé join the regular crew to swap jokes about marriage “financing,” FBI files, and why simply appearing on the show probably earns you a watch list entry. Dwayne kicks things off with reports of multiple recent Bigfoot sightings in northwest Ohio and tells a detailed story about a landowner who believes he's communicating with Sasquatch through deliberately arranged “stick language” in the woods. The group then marks the six‑year anniversary of COVID shutdowns, reflecting on how quickly the world changed after March Madness was canceled and how that season still fuels suspicion about official narratives. Later, Mark breaks down a lawsuit against trading giant Jane Street, explaining allegations of daily 10 a.m. Bitcoin dumps, derivative games, and how under‑regulated crypto markets can be quietly engineered for profit. Throughout, they weave in sponsor love for PJ's Coffee at exit 33, celebrate “award‑winning” Texas Jim Wilkerson, and balance tongue‑in‑cheek theorizing with serious questions about who really pulls the strings in finance, media, and government. Don't miss it!

Dylan Patel, founder of SemiAnalysis, provides a deep dive into the 3 big bottlenecks to scaling AI compute: logic, memory, and power.And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers.Learned a ton about every single level of the stack. Enjoy!Watch on YouTube; read the transcript.Sponsors* Mercury has already saved me a bunch of time this tax season. Last year, I used Mercury to request W-9s from all the contractors I worked with. Then, when it came time to issue 1099s this year, I literally just clicked a button and Mercury sent them out. Learn more at mercury.com.* Labelbox noticed that even when voice models appear to take interruptions in stride, their performance degrades. To figure out why, they built a new evaluation pipeline called EchoChain. EchoChain diagnoses voice models' specific failure modes, letting you understand what your model needs to truly handle interruptions. Check it out at labelbox.com/dwarkesh.* Jane Street is basically a research lab with a trading desk attached – and their infrastructure backs this up. They've got tens of thousands of GPUs, hundreds of thousands of CPU cores, and exabytes of storage. This is what it takes to find subtle signals hidden deep within noisy market data. If this sounds interesting, you can explore open positions at janestreet.com/dwarkesh.Timestamps(00:00:00) – Why an H100 is worth more today than 3 years ago(00:24:52) – Nvidia secured TSMC allocation early; Google is getting squeezed(00:34:34) – ASML will be the #1 constraint for AI compute scaling by 2030(00:55:47) – Can't we just use TSMC's older fabs?(01:05:37) – When will China outscale the West in semis?(01:16:01) – The enormous incoming memory crunch(01:42:34) – Scaling power in the US will not be a problem(01:54:44) – Space GPUs aren't happening this decade(02:14:07) – Why aren't more hedge funds making the AGI trade?(02:18:30) – Will TSMC kick Apple out from N2?(02:24:16) – Robots and Taiwan risk Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

In this episode, I sit down with Roberto Rios aka Peruvian Bull, and he didn't come to play it safe. Fresh off breaking news the morning of recording, we kick things off with the Jane Street manipulation lawsuit and what it might mean for Bitcoin price action. We cover the terrifying thesis of The Great Taking, why you may not actually own the stocks in your brokerage account, China's secret gold accumulation strategy and what it signals about the dollar's future, the slow-motion collapse of Japan's bond market, and how silver is finally breaking free from decades of paper price suppression. ––– Offers & Discounts –––

Analysts Will Clemente, Joe Vezzani and Marcus Wu share their Bitcoin outlook amidst war. Plus, Will shares his thesis on Gen Z's future, and Marcus previews his Bitcoin game theory model. Thank you to our sponsors! ⁠Nexo ⁠Crypto Tax Girl Bitcoin's price has largely held steady despite President Donald Trump's escalation of hostilities with Iran. Is this the bottom signal the market has been waiting for? STIX investments chief Will Clemente, LunarCrush co-founder Joe Vezzani and Delphi Digital Research Analyst Marcus Wu explain why it looks like Bitcoin is bottoming, why a 10/10-style crash would have happened in crypto even without the Binance glitch, and why, regardless of the Jane Street rumors, it's not beyond Wall Street to manipulate an asset. They also address speculation that Jane Street has been suppressing Bitcoin's price and how AI's rapid advancement could impact crypto in light of Citrini Research's article and Jack Dorsey's Block layoffs. Don't miss Joe's reasoning on why Trump could come to the market's rescue and Will's thesis on why zoomers face four unique financial and technological challenges. Plus Marcus also previews his new game theory model for trading the Bitcoin market. Guest: ⁠Marcus Wu, Research Analyst at Delphi Digital Joe Vezzani, Co-founder and CEO of LunarCrush Will Clemente, Investments at STIX Previous appearances on Unchained: Bitcoin Crashed Below $100K, But Smart Money Is Buying the Dip Strong Hands Aren't Selling Bitcoin. So Who Is? - Ep. 183 Arthur Hayes and Will Clemente on the 2024 Bitcoin Halving Links: Unchained:⁠⁠ Why Gold Rose and Bitcoin Tumbled on Japan Bond Turmoil Is Nic Carter Exaggerating Bitcoin's Quantum Risk? Yes, Says One Core Dev Bitcoin Rebounds as ETF Inflows Return, Jane Street Speculation Swirls Terraform Estate Targets Jane Street in Explosive Terra Collapse Lawsuit Crypto's Black Friday Was Its Largest Liquidation Ever. What the Hell Happened? Will's essay Climbing a Broken Ladder: A message to my fellow Zoomers Marcus's Bitcoin game theory model Bitcoin Game Theory on Delphi Digital Learn more about your ad choices. Visit megaphone.fm/adchoices

On December 18, 2022, a mass shooting event inside Bellaria Tower II in Vaughan, Ontario left five people dead.Francesco Villi, a 73-year-old resident of the Bellaria condominium at 9235 Jane Street, carried out the attack after years of escalating legal disputes with the condo board. Within minutes, five residents were killed: Rita Camilleri, Vittorio Panza, Russell Manock, Helen “Lorraine” Manock, and Naveed Dada. Doreen Di Nino survived her injuries.In this episode, we examine the timeline of the Vaughan condo shooting, Villi's documented grievances, his final video, the police response, and the Ontario Special Investigations Unit findings.Content warning: This episode discusses violence and a mass shooting event.PLEASE READ: Some TNTC+ episodes may be released publicly in the future. TNTC+ subscribers will always get first access.--Music Composed by: Sayer Roberts - https://soundcloud.com/user-135673977 // shorturl.at/mFPZ0Subscribe to TNTC+ on Apple Podcasts: https://apple.co/TNTCJoin our Patreon: www.patreon.com/tntcpodMerch: https://www.teepublic.com/stores/true-north-true-crime?ref_id=24376Follow us on Instagram: https://www.instagram.com/tntcpod/Follow us on Facebook: https://www.facebook.com/truenorthtruecrime Hosted on Acast. See acast.com/privacy for more information.

Renaissance history is so much wilder and weirder than you would have expected. Very fun chatting with Ada Palmer (historian, novelist, and composer based at the University of Chicago).Some especially fascinating things I learned from the conversation and her excellent book, Inventing the Renaissance:Not only did Gutenberg go bankrupt in the 1450s (after inventing the printing press), but so did the bank that foreclosed on him, and so did his apprentices. This is because paper was still very expensive, and so you had to make this big upfront CAPEX decision to print a batch of 300 copies of a book - say the Bible. But he's in a small landlocked German town where only priests are allowed to read the Bible - so he sells maybe 7 copies. It's only when this technology ends up in Venice, where you can hand 10 copies to each of 30 ship captains going to 30 different cities, that it starts taking off.Speaking of which, the printing revolution wasn't just one single discrete event, just as the computer revolution has been this whole century of going from mainframes -> personal computers -> phones -> social media, each with different and accelerating social impact. Books came first, but they're slow to print, and made in small batches. The real revolution is pamphlets - much faster, much harder to censor. Pamphlet runners are how you can have Luther's 95 Theses go from Wittenberg to London in 17 days.So much other wild stuff from this episode. For example, did you know that the largest and best-funded experimental laboratory in 17th century Europe was very likely the Roman one run by inquisitors? Ada jokes that the Inquisition accidentally invented peer review. The focus of the Inquisition is really misunderstood - it was obsessed with catching dangerous new heretics like Lutherans and Calvinists - it only executed one person for doing science.And this leads Ada to make an observation that I think is really wise: the authorities and censors are always worried about the exact wrong things given 20/20 hindsight. When Inquisition raids an underground bookshop during the French Enlightenment, they don't mind the Rousseau, Voltaire, and Encyclopédie, but they lose their minds about some Jansenist treatises about the technical nature of the Trinity.More broadly, a lesson for me from this episode is that it's just really hard to shape history in the specific way that you want to impact things. One of the most famous medieval scholars is this guy Petrarch. He survives the Black Death in the 1340s, watches his friends die to plague and bandits, and says: our leaders are selfish and terrible, we need to raise them on the Roman classics so they'll act like Cicero. So Europe pours money into finding ancient manuscripts, building libraries, and educating princes on classical virtues. Those princes grow up and fight bigger, nastier wars than ever before with new deadlier technology. And this, combined with greater urbanization and endemic plague, results in European life expectancy decreasing from 35 in the medieval period to 18 during the Renaissance (the period which we in retrospect think of as a golden age but which many people living through it thought of as the continuation of the dark ages that had persisted since the fall of Rome).Anyways, the libraries Petrarch inspires stick around, the printing press makes them accessible to everyone, and 200 years later a generation of medical students is reading Lucretius and asking “what if there are atoms and that's how diseases work?” which eventually leads to germ theory, vaccines, and a cure for the Black Death (Ada has longer more involved explanation of how cosplaying the Romans results through a series of many steps to the scientific revolution). Petrarch wanted to produce philosopher-kings that shared his values. Instead he created a world that doesn't share his values at all but can cure the disease that destroyed his.Watch on YouTube; read the transcript.Sponsors* Jane Street is still waiting on someone to solve their backdoor puzzle… They're accepting submissions until April 1st and have set aside $50,000 for the best attempts. Separately, applications are live for Jane Street's summer ML internships in NY, London, and Hong Kong. Go check all of this out at janestreet.com/dwarkesh.* Labelbox can help ensure your agents don't need to rely on overspecified prompts. They tailor real-world scenarios to whatever domain you're focused on, and they make sure the data you train on rewards real understanding, not just instruction-following. Learn more at labelbox.com/dwarkesh* Mercury's personal accounts let you add users, issue cards, and customize permissions. This is super useful for sharing finances with a partner, a roommate… or even an OpenClaw agent. And, if you're already a Mercury Business user, your personal account is free! See terms and conditions below, and learn more at mercury.com/personal-bankingEligible Mercury Business users who apply for and maintain a Mercury Personal account may have their Mercury Personal subscription fee waived provided they remain a user on an active Mercury Business account in good standing. Standard Mercury Platform Subscription fees will apply if they no longer meet eligibility requirements, including but not limited to no longer being associated with an eligible Mercury Business account, or if the program is modified or terminated. Mercury may modify or discontinue this offering at any time and will provide notice as required by law. See Subscription Terms for full details.* To sponsor a future episode, visit dwarkesh.com/advertise.Timestamps(00:00:00) - How cosplaying Ancient Rome led to the Renaissance(00:28:49) - How Florence's weird republic worked(00:38:13) - How the Medicis took over Florence(00:58:12) - Why it was so hard for Gutenberg to make any money off the printing press(01:17:34) - Why the industrial revolution didn't happen in Italy(01:23:02) - The Library of Alexandria isn't where most ancient books were lost(01:41:21) - The Inquisition accidentally invented peer review Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

The crew discusses whether prediction markets enable “Bloomberg terminal espionage,,” wonder how to regulate markets that could be on anything, dive into why the OCC is saying no to stablecoin yield and more. Thank you to our sponsors!  ⁠⁠Fuse: The Energy Network Prediction markets are in the spotlight again. On one hand adoption appears to be growing as the Nasdaq has announced plans of entering the space. On the other hand, they scrutinize markets that pose a national security risk.  In this DEX in the City episode, hosts Jessi Brooks, Katherine Kirkpatrick Bos and TuongVy Le discuss suspected insider trading activity around a market tied to the strikes on Iran. Beyond ethical concerns about betting on war, they grapple with the definition of “a death market” and ask whether all prediction markets around an individual are death markets.  The big question: How can these markets on literally any possible event be policed? Plus, is Jane Street manipulating the Bitcoin market? Why the OCC is saying NO to stablecoin yield and the takeaway from Jack Dorsey's Block layoffs. Hosts: ⁠⁠⁠Jessi Brooks⁠⁠⁠, General Counsel at Ribbit Capital ⁠⁠Katherine Kirkpatrick Bos⁠⁠, General Counsel at StarkWare ⁠⁠TuongVy Le, General Counsel at Veda Links: Unchained: Nasdaq Eyes Prediction Markets With SEC Filing Bitcoin Rebounds as ETF Inflows Return, Jane Street Speculation Swirls ZachXBT Alleges Axiom Employee Misused Internal Data White House Talks Make Progress on Stablecoin Yields but No Deal Yet DEX in the City: Insider Trading and Crypto: What the Law Actually Says Learn more about your ad choices. Visit megaphone.fm/adchoices

The NIA boys discuss Anthropic vs. Department of War, Block 40% Layoff & Jane Street's 10AM Bitcoin DumpTimestamps(00:00:00) - Intro(00:03:20) - Anthropic vs. Department of War(00:37:13) - Meme of the Week(00:38:38) - Block 40% Layoff(00:47:31) - Jane Street's 10AM Bitcoin DumpWhat Is Not Investment Advice?Every week, Jack Butcher, Bilal Zaidi & Trung Phan discuss what they're finding on the edges of the internet + the latest in business, technology and memes.Subscribe + listen on your fav podcast app:Apple: https://pod.link/notadvicepod.appleSpotify: https://pod.link/notadvicepod.spotifyOthers: https://pod.link/notadvicepodListen into our group chat on Telegram:https://t.me/notinvestmentadviceLet us know what you think on Twitter:http://twitter.com/bzaidihttp://twitter.com/trungtphanhttp://twitter.com/jackbutcherhttp://twitter.com/niapodcast Hosted on Acast. See acast.com/privacy for more information.

This week was absolutely insane — we've got US and Israeli strikes on Iran, markets somehow shrugging it off, and the Trump administration trying to kneecap Anthropic even while using their AI to pick military targets. And if that's not enough, we're going to talk about Jane Street and some serious questions around Bitcoin market manipulation. Mike and I are breaking it all down here on All Things Markets. Michael Novogratz is the Founder and CEO of Galaxy Digital. He was formerly a Partner and President of Fortress Investment Group LLC. Mr. Novogratz served on the New York Federal Reserve's Investment Advisory Committee on Financial Markets from 2012 to 2015. He serves as the Chairman of The Bail Project and has made criminal justice reform a focus of his family's foundation. Follow Anthony on X: https://x.com/Scaramucci Follow Novo on X: https://x.com/novogratz Anthony Scaramucci is the founder and managing partner of SkyBridge, a global alternative investment firm, and founder and chairman of SALT, a global thought leadership forum and venture studio. Pre-order my next book, All the Wrong Moves: How Three Catastrophic Decisions Led to the Rise of Trump, out on the 17th of September in the UK and the 22nd of September in the US: ⁠https://linktr.ee/anthonyscaramucci Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome back to the Crypto Curious podcast — brought to you by the Bamboo App.I'm Tracey, and as always, I'm joined by Blake. This week feels like a stress test for the entire space.

Did insider trading lead to the price collapse of cryptocurrency?Victoria Jones (https://www.twitter.com/satoshis_page)Thomas Hunt ( https://www.twitter.com/madbitcoins)THIS WEEK:  Exclusive | Jane Street Accused of Insider Trading That Helped Collapse Terraform - WSJhttps://www.wsj.com/finance/currencies/jane-street-accused-of-insider-trading-that-helped-collapse-terraform-659e6993?gaa_at=eafs&gaa_n=AWEtsqfdoOrRHF1p0b8whSLAQAaFViXe1E7fCEvmlAq-zStoZyQzViUZC7gIuH-1G3A%3D&gaa_ts=69a1e84b&gaa_sig=jUnopi2wHcho5NoV3w-gzC32a5aO9mFS2N6E_MIxKTEEvdqzhI_7kq1DLDjy-Bt4oeHGQbsgNREHD_d0CzkG0A%3D%3DAnatomy of a Run: The Terra Luna Crashhttps://corpgov.law.harvard.edu/2023/05/22/anatomy-of-a-run-the-terra-luna-crash/The Celsius Crash: Explained. How Alex Mashinsky's Celsius became one… | by Pontem Network | Pontem Networkhttps://blog.pontem.network/the-celsius-crash-explained-be91ef715cd9Jack Dorsey's New Company Falling Apart as It Forces Employees to Use AIhttps://futurism.com/artificial-intelligence/jack-dorsey-block-falling-apart-aiBlock spent ~$68 million on an event for employees last quarter, as the stock gets crushed in early trading - Sherwood Newshttps://sherwood.news/markets/block-spent-usd68-million-on-event-for-employees-stock-crushed-earnings/Money Ape on X: "TRUMP & HIS FAMILY HAVE PULLED 1.3 BILLION OUT OF CRYPTO IN JUST 13 MONTHS. MORE EXTRACTIONS ARE EXPECTED THROUGH WLFI TOKEN, ALONG WITH CONTROVERSIAL MOVES LIKE THE CZ BINANCE PARDON. DAMAGE DONE TO CRYPTO'S REPUTATION IS MUCH BIGGER. WILL US COURT TAKE ACTIO…Show more https://t.co/4nlMGCXFTi" / Twitterhttps://x.com/themoneyape/status/2025521222298308800Crypto Rug Muncher on X: "This wasn't a coordinated attack. $USD1 de-pegged, in part, because Eric Trump was frantically deleting tweets about the token in real-time. If anything, that panicked backtrack did more to tank the price than any external factor could have ever hoped to. Whether or not ZachXBT" / Twitterhttps://x.com/cryptorugmunch/status/2025962096895439131Darky on X: "Eric Trump deleting all his posts about $WLFI , $USD1 depegging… This smells to Luna 2.0 https://t.co/Ma8SJlTGEK" / Twitterhttps://x.com/darky1k/status/2025971046482895053StockMarket.News on X: "Block just FIRED 4,000 people. Nearly half the company, gone in a single day. The reason Jack Dorsey gave? AI can do their jobs now. But here's what nobody's talking about. 200 days ago, Block threw a party. Not a regular company party. A three day festival in downtown https://t.co/ANYJjrHk3m" / Twitter https://x.com/_investinq/status/2027225213843198220Crypto exchange Binance may have funded Iranian entities, reports say :: Reader Viewchrome-extension://ecabifbgmdmgdllomnfinbmaellmclnh/data/reader/index.html?id=292397285&url=https%3A%2F%2Fwww.theguardian.com%2Fbusiness%2F2026%2Ffeb%2F23%2Fbinance-iran-fund-billionsbarney on X: "Sam realizing CZ not only caused the FTX crash, but also received a presidential pardon and is roaming free, while he has to rot in his cell. https://t.co/9aKnv8xzVZ" / Twitterhttps://x.com/barneyxbt/status/2026391293593632983Bitcoin News on X: "NEW: OpenClaw founder Peter Steinberger banned a contributor for simply mentioning the word “Bitcoin” on the OpenClaw server. The user was referencing Bitcoin's block height as a clock, not even using it for transactions. Steinberger says he hates “crypto.” At some point, he https://t.co/4uqX2bEchd" / Twitterhttps://x.com/bitcoinnewscom/status/2025291558568759807John Law on X: "In a curious twist of corporate strategy, Bitcoin Standard Treasury appoints Bob Stefanowski as CFO. A sign of institutional momentum in crypto affairs? Evolution unfolds: https://t.co/J8P0JmgB21 #FinancialEvolution" / Twitterhttps://x.com/scotonomist/status/2027426755552686562Tone Vays on X: "The following is a full & detailed thread on what lead to #Bip148 #UASF that ended the Scaling Debate with #SegWit Activation. ANYONE that is currently pushing for UASF #BIP110 should take the time to learn the history of this Controversial Consensus Change Method!" / Twitterhttps://x.com/tonevays/status/2026890359477862717BitcoinSapiens ⚡️ on X: "Hiker waves bitcoin flag at peak of Mount Everest

In this week's episode of the Coin Stories News Block powered exclusively by Ledn, we cover these major headlines related to Bitcoin, macroeconomics, and global finance: Did one firm's Bitcoin dump tank the entire market? The Jane Street story everyone's talking about Block bets the house on AI and cuts jobs to prove it — what Jack Dorsey knows that you don't The biggest banks in the world are going all-in on Bitcoin...here's what they're planning Iran conflict escalates and what it has to do with Bitcoin --- The News Block is powered exclusively by Ledn – the global leader in Bitcoin-backed loans, issuing over $9 billion in loans since 2018, and they were the first to offer proof of reserves. With Ledn, you get custody loans, no credit checks, no monthly payments, and more. My followers get .25% off their first loan. Learn more at www.ledn.io/natalie  ---- Order my new intro to Bitcoin book "Bitcoin is For Everyone": https://amzn.to/3WzFzfU  ---- Read every story in the News Block with visuals and charts! Join our mailing list and subscribe to our free Bitcoin newsletter: https://thenewsblock.substack.com  —- References mentioned in the episode: Morgan Stanley Announces Full-Stack Bitcoin Offering Citi Plans to Launch Institutional Bitcoin Custody  STRC Added to Three Corporate Balance Sheets Strategy Raises STRC Dividend to 11.5% Matt Hougan: Crypto May Be Structurally Mispriced Jane Street Sued by Terraform Labs Bankruptcy Administrator  Jane Street Allegedly Suppressing Bitcoin Price Alex Kruger: No Consistent 10 a.m. Bitcoin Dump in Market Data Ari Paul: Large Firms Do Not Suppress Price Structurally  Jane Street Faces $560M Manipulation Case from India's SEBI  DOJ Investigation Reported Into Jane Street Trading Activities  US and Israel Launch Strikes on Iran; Khamenei Killed  Iran Retaliates with Missile and Drone Strikes on US Bases  Strait of Hormuz: 20% of World Oil Supply at Risk  Chainalysis: Iran's Crypto Ecosystem Reached $7.8B in 2025  15 Million Iranians Have Crypto Exposure Amid 50% Inflation  Jack Dorsey Announces Block to Cut 40% of Staff  Jack Dorsey's X Post on Company Layoffs Due to AI  Greg Cipolaro: Bitcoin in the Age of Artificial Intelligence ---- Upcoming Events: Bitcoin 2026 will be here before you know it. Get 10% off Early Bird passes using the code HODL: https://tickets.b.tc/event/bitcoin-2026?promoCodeTask=apply&promoCodeInput=  ---- This podcast is for educational purposes and should not be construed as official investment advice. ---- VALUE FOR VALUE — SUPPORT NATALIE'S SHOWS Strike ID https://strike.me/coinstoriesnat/ Cash App $CoinStories #money #Bitcoin #investing  

For more from Craig, visit www.thegrowmeco.com. Happy HodlingCraig kicked off the week focused on geopolitical uncertainty and the S&P 500, noting that after U.S. and Israeli strikes on Iran, futures immediately gapped lower more than one percent, reinforcing his view that Bitcoin continues to trade like a liquidity-driven tech asset rather than “digital gold.” He's been warning about S&P consolidation for weeks, and with support now being tested again, he believes a decisive breakdown in equities could drag crypto lower as well. Structurally, he sees Bitcoin repeating prior bear-market behavior: sharp move down, consolidation, then another leg lower, with six consecutive red weekly closes and no meaningful bounce yet. Craig is not treating this as accumulation; he's watching for potential downside continuation or a rally back into the former monthly uptrend “cradle zone” for possible short setups. He also cautioned against trading narratives, pointing out how last week's Jane Street spike quickly faded as headlines shifted to war. His approach remains process-driven and selective, scanning daily and executing only when structure aligns. Hosted on Acast. See acast.com/privacy for more information.

On the latest Blockspace roundup, the gang cover's Block's 40% workforce reduction and our scoop that Magic Eden is quitting the Bitcoin and Ethereum NFT game. Get your tickets to OPNEXT 2026 before prices increase! Join us on April 16 in NYC for technical discussions, investor talks, and intimate conversation with the brightest minds in Bitcoin. Welcome back to The Blockspace Podcast! Today, Charlie and Colin cover the Block's 40% workforce reduction and why the stock ripped 20% on the news. We also dive into the bitcoin mining conditions that are driving hashprice to all-time lows, Blockspace's scoop that Magic Eden is sunsetting its Bitcoin Ordinals marketplace, MARA's latest AI partnership, and the Terra/Luna lawsuit against Jane Street. Plus, Luxor's Michael San Miguel joins the show to discuss the ins and outs of the GPU market.  Subscribe to the newsletter! https://newsletter.blockspacemedia.com Notes: * Block laid off 40% of its 10,000 employees. * Block stock surged 20% after the layoff news. * Bitcoin hash price hit an all-time low of $28. * Bitcoin difficulty adjusted upward by 14.73%. * Magic Eden is shutting down BTC and ETH marketplaces, multi-chain wallet * Bitdeer sold all its bitcoin; Cipher plans to sell its bitcoin in 2026 * MARA forms partnership with data center developer Starwood Timestamps: 00:00 Start 03:33 Hashrate update via Luxor's Hashrate Index 09:29 Block lays off 40% of staff 16:37 Magic Eden shutting down 25:54 GPUs & compute 28:03 GPU vs ASIC complexity 29:04 Upgrading hardware 32:16 Finding a compute buyer 34:00 Powershell vs Neocloud 37:12 Compute still in price discovery mode 42:05 MARA earnings 45:20 CIPHER dumping bags 48:44 Jane Street is the new boogyman 59:34 Everyone's short MSTR

Daniel Batten argues Bitcoin has largely blunted environmental FUD, but is now losing a broader narrative war and needs an “influence upgrade” to reach the next adoption cohorts He frames the problem as a sales and marketing gap where Bitcoiners often blame newcomers instead of meeting them where they are with better messaging and messengers Discussion highlights a survey showing key barriers are distrust, perceived immorality, and perceived uselessness rather than demographics or politics Daniel introduces a “hierarchy of newcomer needs” emphasizing safety, care, and alignment before education can land effectively Practical guidance: lead with listening, empathize with why someone believes common narratives, and avoid evangelism in favor of tailored education Examples of what works: ambassadors embedded in target communities (eg pension funds, charities) who understand internal processes and patiently navigate committees and objections Key takeaway on adoption dynamics: Bitcoin is both technology and asset, so adoption requires both visible usage (virality) and institutional-grade education to reduce perceived risk They discuss how catalytic events often come from targeted conversations with influential decision-makers (ETFs, corporate treasuries, political shifts), implying more can be “created” with better influence strategy News segment covers macro tariffs/legal angles, bottom-ish signals from on-chain/technical indicators, and pushback on simplistic “Jane Street manipulation” narratives Quantum computing fears are addressed via Yan Pritzker's thread: supply cap safe, risk concentrated in reused/exposed public keys, and migration paths like BIP-360 style upgrades ► For high-net-worth individuals and corporations seeking to build generational wealth with Bitcoin, Swan Private is your guide ✔ https://www.swanbitcoin.com/private?utm_campaign=private&utm_medium=sponsorship&utm_source=podcast&utm_content=swan_signal_live ► Secure your bright orange future with the Swan IRA today! Real Bitcoin, no taxes ✔ https://www.swanbitcoin.com/ira?utm_campaign=ira&utm_medium=sponsorship&utm_source=podcast&utm_content=swan_signal_live ► Secure your Bitcoin with Swan Vault ✔ https://www.swanbitcoin.com/vault?utm_campaign=vault&utm_medium=sponsorship&utm_source=podcast&utm_content=swan_signal_live ► Download the all-new Swan Bitcoin App ✔ https://www.swanbitcoin.com/app?utm_campaign=app&utm_medium=sponsorship&utm_source=podcast&utm_content=swan_signal_live ► Want to learn more about Bitcoin? Check out Welcome To Bitcoin a FREE Introductory course. Learn about Bitcoin in under 1 hour! ✔ https://www.swanbitcoin.com/welcome?utm_campaign=welcome_to_bitcoin&utm_medium=sponsorship&utm_source=podcast&utm_content=swan_signal_live ► Connect with Swan Bitcoin: ✔ Twitter: https://twitter.com/Swan ✔ Instagram: https://instagram.com/SwanBitcoin ✔ LinkedIn: https://linkedin.com/company/swanbitcoin ✔ Threads: https://www.threads.com/@swanbitcoin ✔ Facebook: https://www.facebook.com/SwanBitcoin/ ✔ TikTok: https://www.tiktok.com/@realswanbitcoin

February ends with peak FUD. Ryan and David unpack why crypto is stuck in historic “Extreme Fear” even without a major blowup, and why markets feel like they've entered an uncertainty bubble. They break down the Supreme Court striking Trump's tariffs, Trump immediately finding new legal doors to bring them back, and the looming $150B+ refund fight. Then the “Citrini Crash”: AI doomer scenarios going viral, spooking stocks, and leaving investors terrified that AI will be either not good enough or far too good. Plus: fresh allegations that Jane Street helped accelerate Terra's collapse, Meta's stablecoin reboot for its billions of users, ZachXBT's Axiom insider trading exposé, Hyperliquid's new DC policy push, Robinhood's retail venture fund, Coinbase's 24/5 stocks rollout, and the Pentagon's ultimatum to Anthropic over AI guardrails. ---

Matt and Nic are back with another week of news and deals. In this episode:  Kalshi has detected and banned two accounts for insider trading Is Polymarket going to have to add KYC? Is there a tradeoff between informational efficiency and market fairness The OCC de facto bans stablecoin yield in its rulemaking around GENIUS Meta is considering partnering with a stablecoin issuer Stripe is bullish in their annual report ZachXBT determines that Axiom employees have been abusing the platform Terraform labs accuses Jane Street of insider trading WSJ reports that Binance overlooked Iranian sanctions violations Justin Drake unveils a post-quantum roadmap for Ethereum Matt Corallo says Nic is wrong about Bitcoin and quantum Content mentioned: Larry Cermak: How Crypto Actually Works: The Missing Manual  

This week, we're back with another weekly roundup where we discuss the recent lawsuit filed by Terraform Labs against Jane Street. We then deep dive into Circle's earnings, Tether's investment in Whop, Robinhood's Venture fund & more. Enjoy! -- Follow Rob: https://x.com/HadickM Follow Santi: https://x.com/santiagoroel Follow Empire:https://x.com/theempirepod -- Join us at DAS (Digital Asset Summit) in New York City this March! Follow the link below to grab your ticket, and use code EMPIRE200 to get $200 off your ticket! https://blockworks.co/event/digital-asset-summit-nyc-2026 -- Coinbase crypto-backed loans, powered by Morpho, enable you to take out loans at competitive rates using crypto as collateral. Rates are typically 4% to 8%. Borrow up to $5M using BTC as collateral and up to $1M using ETH as collateral. Manage crypto-backed loans directly in the Coinbase app with ease. Learn more here: https://www.coinbase.com/onchain/borrow/get-started?utm_campaign=0126_defi-borrow_blockworks_empire&marketId=0x9103c3b4e834476c9a62ea009ba2c884ee42e94e6e314a26f04d312434191836&utm_source=empire -- Timestamps: (00:00) Introduction (01:40) Terraform Labs Sues Jane Street (28:40) Coinbase Ad (29:24) DAS Plug (29:51) Circle Beats Earnings (39:32) Would You Rather Own Stripe or Circle? (46:10) Robinhood's Venture Fund  (56:04) Tether Invests $200M In Whop (01:19:37) Content of The Week -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

https://rhr.tv/stream • Zoom scam https://therecord.media/north-korean-hackers-targeted-crypto-exec-clickfix • Numo – Bitcoin Tap-to-Pay POS App for Android (Lightning & Ecash, Zero Fees)https://numopay.org/ • Mail Mike: AI Agent with Bitcoin Lightning Wallet – Prompt Injection Bounty Challengehttps://primal.net/e/nevent1qqs9jsvekaswngjd3nxldz832nm2ddmjjrlhk7hddzh8luv2rf3gprcdap9fa • FIPS: Free Internetworking Peering System – Nostr Keypair Mesh Networking Protocolhttps://primal.net/e/nevent1qqsvd3nzk5p92fzp9z7p34m50039dwee0aemrvk9cl2jpng3kawsz0q6wuh7w • Russia to Scale Internet Filtering with AI Roskomnadzor, Russia's internet regulator, is building an AI-powered censorship system with a 2.27 billion ruble ($29 million) budget. According to analysts, the system will use AI to instantly block mirror sites hosting banned content and, more ominously, to identify the people creating those mirrors. The move would further restrict the space for dissent and independent online information in Russia. FinancialFreedomReport.org • Large-scale Online Deanonymization with LLMs (arXiv Paper)https://arxiv.org/abs/2602.16800 • Anthropic Exposes Industrial-Scale Distillation Attacks on Claude by DeepSeek, Moonshot AI & MiniMaxhttps://x.com/anthropicai/status/2025997928242811253 • Man Accidentally Gains Control of 7,000 Robot Vacuums (DJI Romo Security Bug)https://www.popsci.com/technology/robot-vacuum-army/ • The 2028 Global Intelligence Crisis – AI-Driven White-Collar Job Displacement Thought Experimenthttps://www.citriniresearch.com/p/2028gic • US Strike on Mexico By…? (Polymarket Prediction Market)https://polymarket.com/event/us-strike-on-mexico-by • RFK Jr. (Sec. Kennedy): Pesticides Are Toxic by Design – Supporting Trump's Regenerative Agriculture Transitionhttps://x.com/seckennedy/status/2025760500793909389 • Rep. Thomas Massie: End Pre-Harvest Glyphosate Spraying on Wheathttps://xcancel.com/repthomasmassie/status/2025932814533697629 3:54 - Daylight savings 6:59 - Dashboard 8:44 - ID snow shoveling 9:54 - Jane Street 16:34 - Zoom scam 19:44 - Anthropic 27:34 - Numo 36:54 - Raising kids 41:49 - Mail Mike 44:54 - FIPS 46:34 - HRF Story of the Week 51:49 - DJI robots 57:14 - Citrini AI blog 1:07:39 - Boosts 1:09:09 - Glyphosates 1:13:54 - Bitcoin updates 1:16:39 - Cartel war? 1:20:09 - Block cutting employees Shoutout to our sponsors: Coinkite https://coinkite.com/ Strike https://strike.me/ Stakwork https://stakwork.ai/ Salt of the Earth https://drinksote.com/rhr Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/marty Newsletter https://tftc.io/martys-bent/ Podcast https://tftc.io/podcasts/ Follow Odell: Nostr https://primal.net/odell Newsletter https://discreetlog.com/ Podcast https://citadeldispatch.com/

The Last Trade: Jackson, Michael, and Liam break down the Jane Street / Terra Luna lawsuit, what's really driving bitcoin's drawdown, why your privacy is more compromised than you think, and why AI and bitcoin are two sides of the same coin.---

BBC SHARES INFORMATIONhttps://www.bbccshares.com/formBITCOIN PROGRAMSCALL OR TEXT 941-413-8080ALL BITCOIN BEN'S PROGRAMShttp://bbccprograms.comJOIN THE BITCOIN BEN CRYPTO CLUBS AND WEBSITEhttps://bitcoinbencryptoclubnashville.com/clubsCLAIMING YOUR CLUB SHARES VIDEO LINKhttps://us06web.zoom.us/j/81113673520?pwd=BFyIgqBIBoOHzWHg55kpk7Bpql6NNX.1CALEB AND BROWN LINK SAVE 30% ON EVERY BUY/SELL FEEShttps://www.calebandbrown.com/affiliates/bitcoin-benPRIVATE SERVERhttps://substack.com/@bitcoinben?utm_source=profile-pageFOLD APP LINKhttps://use.foldapp.com/r/BITCOINBEN2OZLO SLEEP EARBUDShttps://refer.ozlosleep.com/mQIhHLaCALIX SOLUTIONS CRYPTO AND LIBERY LAPTOPS!!!CALL OR TEXT (702) 845-8276 OR EMAIL info@calixsolutions.io OR HITTHIS LINK TO GO DIRECTLY TO THE WEBSITEhttps://calixsolutions.io/crypto-laptops/XPATCHES EMAIL AND TELEGRAM CHANNELBitcoinBensXpatches@gmail.comhttp://t.me/BitcoinBensXpatchesSALT BITCOIN LOANhttps://borrower.saltlending.com/register?referralCode=1UzYRShbxBITCOIN BEN SWAG LINKhttps://www.miniadaydesigns.com/collections/bitcoin-bens-private-collection?_pos=2&_psq=bitcoin+ben&_ss=e&_v=1.0FOUNDERS GROUP MEMBERSHIPS WEBSITEhttps://foundersgroupworldwide.com/join/ OR Call our officeBECOME A TRADEMARK LICIENCED DEALER AT THE BITCOIN BEN SILVERCOMPANY!! GET MORE INFORMATION ON OUR TELEGRAM CHANNELhttps://t.me/BitcoinBensSilverChatGroup

Robinhood's Coy Garrison and Seong Seog Lee join the crew to unpack the Robinhood Chain launch strategy. Thank you to our sponsors!  ⁠MultiChain Advisors Robinhood's proposed chain for the trading of tokenized assets is live in testnet. In this DEX in the City episode, Coy Garrison, Robinhood's deputy general counsel on crypto, and Robinhood Crypto Head of Product Seong Seog Lee walk hosts Katherine Kirkpatrick Bos and Jessi Brooks through the thinking behind the blockchain's testnet launch and why it is important that it supports tokenized equities out of the gate. Beyond the Robinhood Chain testnet launch, KK and Jessi discuss OpenAI and Paradigm's EVMbench tool and why it highlights the need for a safety-first approach. “AI and crypto are in the same room now, but the room's sort of on fire,” Jessi says. Don't miss how a man accidentally gained remote access to 7,000 robot vacuums in 24 countries with AI-written code. KK and Jessi also dig into the Terraform Labs estate's lawsuit against Jane Street. Is there any real credibility behind the lawsuit? Listen to find out! Save $100 with Crypto Tax Girl! Hosts: ⁠⁠Jessi Brooks⁠⁠, General Counsel at Ribbit Capital ⁠Katherine Kirkpatrick Bos⁠, General Counsel at StarkWare Guests: ⁠⁠⁠Coy Garrison, Senior Director and Deputy General Counsel, Crypto at Robinhood ⁠⁠Seong Seog Lee, Head of Product at Robinhood Crypto Links: Unchained: Robinhood Pushes Deeper Into Tokenization With Layer 2 Testnet Launch Inside Robinhood's Big Super App Plan: ‘There's Still a Lot of Work to Be Done' OpenAI and Paradigm Launch EVMbench to Stress Test AI on Smart Contract Security Uneasy Money: How the Increasingly Better AI Agents Are Being Used Onchain When AI Agents Take Over, What Does a Post-Human Economy Look Like? Terraform Estate Targets Jane Street in Explosive Terra Collapse Lawsuit DeFi Platforms Could Get ‘Innovation Exemption,' SEC Chair Says SEC Quietly Eases Capital Rules for Stablecoins Learn more about your ad choices. Visit megaphone.fm/adchoices

Crypto News: Bitcoin and altcoins see upside in price as Terraform sues Jane Street and market manipulation gets exposed. Ethereum unveils new 'Strawmap' roadmap adding private ETH transactions, quantum-proof security, and massive L2 scaling. Tether invests $200 million in digital marketplace Whop to expand stablecoin payments.Brought to you by ✅ VeChain is a versatile enterprise-grade L1 smart contract platform https://www.vechain.org/ 

Bitcoin is ripping higher as legal pressure mounts around Jane Street, one of the most influential players in Bitcoin ETF market structure. Following the federal lawsuit tied to the Terra collapse, speculation is growing that a major source of persistent sell pressure may be weakening. As headlines hit, Bitcoin and crypto markets have responded with a sharp pump — fueling the narrative that structural suppression could be fading.

Tune in live every weekday Monday through Friday from 9:00 AM Eastern to 10:15 AM.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy our NFT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DISCLAIMER: The views shared on this show are the hosts' opinions only and should not be taken as financial advice. This content is for entertainment and informational purposes.

OCaml – уникальный язык и по своему историческому значению, и по фичам. Он сильно повлиял практически на все современные языки, на нем до сих пор написаны многие из их компиляторов, и одновременно с этим он считается идеальным входом для новичков в мир функционального программирования. А погружаемся в этот язык мы вместе с Павлом Аргентовым, программистом из Evrone, который страстно любит OCaml и пишет на нем очень много кода. Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Евгений Кателла, Егор Толстой Полезные ссылки: Официальные ресурсы Документация и туториалы: OCaml.org — официальный сайт. Getting Started, документация, packages https://ocaml.org/ OCaml Manual — полная справка по языку. Формальная семантика, все языковые конструкции https://ocaml.org/manual/ Real World OCaml — практическая книга (2nd Edition).Jane Street, Yaron Minsky, Anil Madhavapeddy https://dev.realworldocaml.org/ CS3110: Data Structures and Functional Programming (Cornell). Лучший образовательный ресурс для начинающих https://cs3110.github.io/textbook/ Инструменты: OPAM — package manager. 4,600+ packages https://opam.ocaml.org/ Dune — build system. Композируемая, быстрая система сборки https://dune.build/ Merlin — IDE support (LSP). Автодополнение, type information, jump to definition https://github.com/ocaml/merlin OCamlFormat — code formatter. Opinionated formatting https://github.com/ocaml-ppx/ocamlformat Полный список ссылок на странице выпуска https://podlodka.io/465

We're living in the "centaur era" of AI and if you're not combining human judgment with AI tools, you're already falling behind. In this episode, Zack Cohen and the Bitcoin Policy Hour team break down the BCG study proving that AI-augmented workers crush both pure humans and blind AI users, then pivot to Secretary Rubio's landmark Munich Security Conference speech signaling the end of the postwar order with Europe. Plus, the hosts analyze Bitcoin ETF flows, whale selling pressure, and why a federal judge just ruled your AI chat logs aren't privileged.

The ups and downs of winning the coveted Fields Medal, with 2022 winner Hugo Duminil-Copin.See our main video from this interview - https://youtu.be/JWtD0O-zSWYHugo is based at the University of Geneva and IHES - https://www.ihes.fr/~duminil/More Numberphile interviews and videos with Fields Medallists - https://www.youtube.com/playlist?list=PLt5AfwLFPxWIDErJihuPX2S7E-0rnkaeuWith thanks to Nils Berglund for visualisations of percolation - https://www.youtube.com/c/NilsBerglundFields Medal 2022 - https://www.mathunion.org/imu-awards/fields-medal/fields-medals-2022Numberphile is supported by Jane Street - https://www.numberphile.com/jane-streetAnd the Ben Delo Foundation - https://delo.org/You can support Numberphile on Patreon - https://www.patreon.com/numberphileHere are our Patrons - https://www.numberphile.com/patronsNumberphile is created by Brady Haran