Continued Fractions
βAnd luckily there's a classical algorithm for this called continued fractions. So you get 372 / 2048. You use continued fractions to round it off. You get 2 over 11 and then 11 will give you the factoβ¦β
What the smart people are recommending. 8874 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
βAnd luckily there's a classical algorithm for this called continued fractions. So you get 372 / 2048. You use continued fractions to round it off. You get 2 over 11 and then 11 will give you the factoβ¦β
βAI um like behalf is uh is integrated into Shopify. It's called Sidekick. Um Having a uh um you know infinitely patient, extremely knowledgeable um you know kind non-judgmental AI sidekick as part of β¦β
βLoad a chat-formatted version of the [Glaive function calling dataset](https://huggingface.co/datasets/Locutusque/function-calling-chatml)β
β# Introducing: Devstral 2 and Mistral Vibe CLI.β
βYou know, if you haven't seen the video of Google Genie 3 uh that's a new 3D model that you talk to and it creates anything that you can walk through right so hey Genie 3 I want to be skiing down in tβ¦β
βThere's Andrew Mayne: a plugin for VS Code, so I can go use this there.β
βWe decided to not launch this as a product. Thibault Sottiaux: It didn't feel like polished enough. Thibault Sottiaux: It was called 10X because we felt like it was giving us this 10X productivity booβ¦β
βAnd so you can start to see it right with the codex IDE extension being able to run remote codex tasks.β
βI'm sure it happens in some obscure edge cases, just like it does for humans. Greg Brockman: But it's really amazing to see that we're at a level where even when it's not quite zeroed in on the right β¦β
βRetro Diffusion's pixel art models are now on Replicateβ
βYou can also use codeex in your terminal as a CLI um in the cloud on your phone.β
βBackend: FastAPI (Python 3.10+)β
βFrontend: React + Viteβ
βreact-markdown for renderingβ
βSo probably our most successful non-financial application is uh ENS which uh I'm sure you'll hear about in various places this week. So you can have your you can own your own name basically you know yβ¦β
βLayerize from @ideogram_ai is up on Replicate! Turn any flat graphic into an editable, layered design detecting font styles (h1, h2, body, small) and grouping related text into smart containers.β
βSo we teamed up with @lancedb to build a structure-aware PDF QA pipelineπβ
β4. A Claude agent retrieves the relevant context and, if text isnβt enough, it falls back to image-based reasoning on the screenshotsπ§ β
βSo we teamed up with @lancedb to build a structure-aware PDF QA pipelineπβ
βIntroducing Rerank 4: Cohere's most powerful reranker yetβ
βManis talks about like they initially saved like a Manisto-do.md file to the to the Manis file system.β
βI recently built this little utility called lang fetch it's just like a simple command line utility allows you to get traces from langmmithβ
βMM-MT-Bench is a multi-turn LLM-as-a-judge evaluation task released by Mistral AI that uses GPT-4o for judging model answers given reference answers.β
βOne the best example of that is our latest image model NO Banana Pro which um I think shows some astonishing sort of understanding of visuals and it can kind of you know create infographics that are rβ¦β
βSo uh we have this um uh uh system called Genie Genie 3 which is like an interactive video model you can think about. So you can sort of generate a videoβ
βVQAv2β
βDocVQAβ
βMathVistaβ
βMMMUβ
βChartQAβ
βI started on like my real programming experience when I built that business was in Fidual Basic.β
βAt the DAI level, visual inspection agents identify defects more accurately by fine-tuning Vision Foundation models with labeled images and now millions of unlabeled images through self-supervised leaβ¦β
βAt the wafer level, AI agents powered by NVIDIA Metropolis and Cosmos Reason identify defects and reason potential root causes.β
βAt the wafer level, AI agents powered by NVIDIA Metropolis and Cosmos Reason identify defects and reason potential root causes.β
βNVIDIA Agentech AI is driving the next generation of safer, smarter manufacturing.β
βhe worked at BYU then Google was an early employee at OpenAI where he led the development of uh chat GPT2 and threeβ
βhe worked at BYU then Google was an early employee at OpenAI where he led the development of uh chat GPT2 and threeβ
βAnd they registered on HackerOne, which is the leaderboard for all things hacking globally.β
βIf I just take anthropic itself, which because we work so much in the enterprise side, I think we're a good barometer, maybe a pure barometer than the others, which kind of filter through consumers, wβ¦β
βas much as our models are like really good like you know the one we released last week opus 4.5 is hands down I think almost everyone thinks the best model for coding so I think that's it's very imporβ¦β
βI think we're good at protein understanding. Mhm. Now multi-proin understanding is coming online and we recently created a model called LA prina. It's open. Um it's for multi-proin um understanding anβ¦β
βI bet a huge amount. In fact, you didn't ask this, but if I can go on a rant for a second. Um we used to talk a lot about this 2x2 matrix of short timelines long timelines, slow takeoff, fast takeoff,β¦β
βAttraction accelerator helps you skip all of that. And so the bottom line is this. a correctly installed attraction offer so valuable you could literally ignore everything I show you and get more payiβ¦β
βIndeed. We recently released this thing called Coachwork, which was bringing code code to, you know, non-coding tasks. It really seems to have taken off. We wrote it in like a week and a half, almost β¦β
βEpic Upselles gives you my four mostused mechanisms to turn first-time buyers into bigger spenders.β
βDealmaker downells give you my three simplest, most used, and highest converting mechanisms to turn a no into a yes.β
βContinuity blueprint, the holy grail of business.β
βWe've transitioned to @cognition.β
βUh the image gen model uh as well is in our API and then Sora 2 is in our API.β
βUm but yeah, yeah, we have image gen, we have video gen um and we'll continue adding more uh to the API there.β
βTo learn more about ACM and its activities, visit acm.org.β
βYou're getting 200 bucks of real value. And the first system that you're going to get is the leads implementation system. These playbooks give you the tools to unlock unlimited leads for yourself.β
βIf you went to um GPT 5.1 thinking or one of the more advanced models or Gemini that has web access and you ask that question, you'd probably get the right answer.β
βThe GoDads playbook, the Hooks playbook, the branding playbook, the marketing machine playbook. All free if you just go to go.acq.com.β
βThe GoDads playbook, the Hooks playbook, the branding playbook, the marketing machine playbook. All free if you just go to go.acq.com.β
βSo, we introduce Mine Dojo, a new open framework to help the community develop general-purpose agents using Minecraft as a kind of primordial soup.β
βThe GoDads playbook, the Hooks playbook, the branding playbook, the marketing machine playbook. All free if you just go to go.acq.com.β
βThe GoDads playbook, the Hooks playbook, the branding playbook, the marketing machine playbook. All free if you just go to go.acq.com.β
βIt's a MoE though so maybe someone will get streaming experts to work for itβ
βUse Design Mode in Cursor 3 to annotate and target UI elements in the browser.β
βThe second system you get is the sales implementation system. Whether you can't get leads to show, can't close them when they do, or it's taking forever to get a yes, these playbooks show what we've dβ¦β
βWe published an algorithm we nicknamed quantum echoes and it's sort of um can think of it as the first useful beyond classical algorithm and let me explain a little bit to you how this um works.β
βChatGPT Containers can now run bash, pip/npm install packages, and download filesβ
βSo, the first is the lead nurture playbook. At Allen, we analyzed every variable that increases shows across a 100,000 appointments. The findings in this playbook contain the most datadriven show systβ¦β
βAlso, there's my Forbes senior contributor articles, so you can see me on Forbes as well.β
βThe second is the closing playbook. So when I was living in motel at $100,000 in debt, my sales team couldn't close. I actually had to fly out. This playbook contains the exact closes. I drilled them β¦β
βThe third is the proof playbook. Sales take too long because you don't have enough of the right kind of proof at the right times. This playbook solves that.β
βIntroducing Mistral 3β
βHermetic Ruby packages from `Gemfile.lock`.β
βRequires Ruby β₯ 3.1 and [Nix](https://nixos.org/download/).β
βThe next is the delivery implementation system. This solves the two biggest constraints that kill profitability. Customers not paying enough and customers not staying long enough.β
βThe first is the lifetime value playbook. So, if leads cost too much, it's common that they don't really cost too much, but that you make too little.β
βWe convert the 3D world into a textual representation thanks to an open-source Minecraft mod called MindFlare.β
βEnter ISAC-S and the Vide Simulation Initiative. So, ISAC-Sim's greatest strength is to run physics simulations at a thousand times faster than real-time.β
βThis is Urea, an agent that achieves robot dexterity at a superhuman level.β
βThe second is the retention playbook. So, I've been in the recurring revenue business my entire life. Understanding churn has been a scientific process for me.β
βMythos Preview has already found thousands of high-severity vulnerabilitiesβincluding some in every major operating system and web browser.β
βThe profit implementation system. This is the last constraint that kills businesses. You work all day every day for the small percentage of cash left over at the end of the month. With a few tweaks, tβ¦β
βThe first is the fast cash playbook. How to inject cash into a business using only what you've already got.β
βThe second is the pricing playbook. This contains my top 10 mostused instant pricing based profit optimizations. These are the first strategies that I would use to cover this donation.β
βhttps://t.co/I9QFVe5e1Zβ
βVO3.1 and Cling and Seed Dance are all kind of better than Sora already.β
βVO3.1 and Cling and Seed Dance are all kind of better than Sora already.β
βThe third is the price raise playbook. This is the last of the three profit implementation playbooks. If you raise prices, you make more doing the same or less work. This is the highest leverage thingβ¦β
βI personally consulted every business, recorded every intake call, every constraint analysis, every recommendation, every follow-up call, all my actual notes. I recorded all of it. All in preparation β¦β
βDistributing Go binaries like sqlite-scanner through PyPI using go-to-wheelβ
βThis includes: * Local LLM toolingβ
βZK-payment for API calls (so you can call remote models without linking your identity from call to call)β
βOngoing work into cryptographic ways to improve AI privacyβ
βClient-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assuranceβ
βERC-8004, AI reputation ideasβ
β# try-cli β try - fresh directories for every vibe. Your experiments deserve a home. π β
βPrefer Ruby? Use the original Ruby version - it's excellent!β
βYou know, Open Eye, Chat PT, Perplexity, like Gemini, like they'll read these [music] things and it's sort of in the ether now.β
βYou know, Open Eye, Chat PT, Perplexity, like Gemini, like they'll read these [music] things and it's sort of in the ether now.β
βCLI tool for creating charts from CSV, TSV, JSON, JSONL, or SQLite data using matplotlib.β
βlearn how to orchestrate them dynamically with IBM research BAI framework. You'll use the BAI framework's requirement agent to hand off tasks to specialized ATA agents as needed.β
βFinally, you'll deploy your ATA agents onto agent stack, which is open- source self-hostable infrastructure, making it easy to deploy, run, and share ATA agents with your organization.β
βI'm a big fan of the pelican GLM-5.1 drew me today, it even animated it!β
βIt reminded me of this thing called Eliza, which was like a famous Marov chain based thing.β