Introducing OctOpus 🐙 — the Cursor for Data Science. Connect your data, describe your goal (forecast revenue, predict churn, etc.), and say go. OctOpus 🐙 will autonomously write a plan, pick the right models, write the code, runs experiments, and deploy the best model within minutes! 😀 Tested with enterprises and research teams. Pretty cool. Try it here→ https://t.co/JJHN3VsMxs 🐙 Inspired by @karpathy #autoresearch #DataScientist #AI #MachineLearning #Models #Kaggle #Opus #OctOpus @AnthropicAI @OpenAI @GoogleDeepMind @xai @AIatMeta @ycombinator

Sorry I couldn't quite hear you over ALPHA ZONE. But seriously check out my podcast it's called In Practice and it's weird and technical about real AI applications https://t.co/3JEzhTmWCm https://t.co/57w1bUoFtJ

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Twitter’s algorithm is optimized for addiction, not for us. We deserve better. We’re releasing Bouncer today so you can take back control of your feed. Describe what you don't want, and Bouncer removes it. It’s free, doesn’t collect your data, and will be open source soon. https://t.co/fSUxGdmUcS

@RoundtableSpace All of them: https://t.co/y8TQ8DgvH3 My favorite is AI Newsmakers. My AI reads ask of them and picks out the best: https://t.co/kiuZ7QXLzb

Introducing Gooseworks — AI coworkers that can do real GTM work. Over the last few months, we've been obsessed with turning AI into actual coworkers for our team. And it's working. Goose is now our most valuable teammate – it finds high-intent leads, runs outbound campaigns, coordinates with influencers, tracks SEO / AEO and a ton more. Today we're launching this publicly so everyone can create their own AI coworkers. Each coworker (or Goose) has its own computer, filesystem, mailbox, memory, and tools. Goose can work autonomously for hours, communicates over Slack, iMessage, WhatsApp or email, and gets smarter as you give it more context. It's not just a personal assistant — your whole team can talk to Goose from anywhere, and schedule it to run on autopilot. And here's the best part – we've already given Goose 100+ skills and data APIs for GTM work: – map your TAM – search people databases with natural language – find leads from X and LinkedIn posts – monitor intent signals from your ICPs – update your CRM and generate reports – find influencers and run outreach campaigns – track visibility in search and answer engines – connect to all the SaaS tools your business runs on +++ lots more. We also open-sourced every skill as a toolkit you can install directly in Claude Code. Comment "Goose" and follow and I'll send you the install link.

jump scare from @thsottiaux https://t.co/7fcMlHfWiQ

one of my favorite parts of the job sitting down with extraordinary people like @jxnlco from OpenAI to discuss how codex changes the way we work presented by @cerebras // @alyciazcary https://t.co/g9j1yKvQXq

introducing Chargebotic, autonomous charging for robots. robots are getting smarter every day. but they all share the same problem: someone still has to charge them. designed for space to charge and save rovers on the Moon, we realized robots on Earth have the same problem. Chargebotic is a simple, universal charging system. it includes a charging pad, a receiver module, and software that manages your robots' charging. this allows your robots to charge themselves anywhere in extreme environments, across entire fleets, and across every robot brand. currently working with our own robot, Spark-E. testing with more robot types coming soon. sign up for early access link in bio.

All In’s @davidsacks liking one of my tweets was not in my 2026 bingo card. https://t.co/WFsRZolcRO

it all makes sense now. dario was still at openai in 2019. he left next year and took his marketing playbook with him. hasn't changed a thing since. https://t.co/lJ27MBHYFR

One fun thing about AI is that it lets you play with interfaces and approaches to displaying information in new ways without a lot of effort. I got a an internet connected e-ink display and set it up to show me the weather as interpreted by nano banana using rotating styles. https://t.co/BOD4V0jhlM

https://t.co/thNKojJJoI

GenAI’s popularity has hit a wall. Hard to see how OpenAI is going to make its numbers, and easy to see why they bought a media company. Their work is cut out for them. https://t.co/9Pv8QBpqzH

@per_arneng @ApacheArrow @kszucs_ @huggingface ➡️ https://t.co/biadKxzubv

GenAI’s popularity has hit a wall. https://t.co/LNyrZpB1ql

INTRODUCING: https://t.co/nn42Az3rY1! 🐉📺 this one's a little different than my usual project, but i hope you enjoy this foray! 🫶 the idea? AI-curated content... straight from the latent space! as it turns out, LLMs have been training on lots and LOTS of embedding links 🧐 so in the Pliny TV backend, there is no search API. no YouTube Data API key. no vector DB. no scraper. discovery happens entirely inside a language model's memory of the internet. you describe a channel in plain English — "music videos from 200", "cozy 3am lofi rain", "cursed liminal space docs", — and an AI curator recalls real YouTube video IDs directly from its weights! the system prompt literally says: "you have been trained on millions of YouTube videos — USE THAT KNOWLEDGE." we then hit YouTube's oEmbed as a reality check. survivors make it to the channel queue, hallucinations get filtered out. the LLM is the search engine. the index is the model. because there's no keyword index, no recency bias, no algorithm optimizing for watch time, the curator doesn't search. you give it a vibe and it navigates the probability space of that concept, pulling back whatever is most salient. which turns out to be, almost without fail, the most nostalgic, cultishly-loved, collectively-imprinted videos in that region of latent space. the memes you forgot you'd forgotten! you ask for a vibe, you get a tour of the collective unconscious, sorted by resonance. less search engine, more akashic record. and one of the most fascinating elements is seeing how this effect differs between models! different curators produce vastly different generated playlists, even with the same prompt. what's in the box? 📡 create channels & publish them to public so anyone can tune in, plus an option to have AI auto-generate an idea 🤖 AI curator auto-queues 15–20 videos per run, auto-shutoff at 20min to save API cost 👥 AI personas watch with you and chat live — custom personas generated from your channel's vibe 🎨 110+ preset themes — each one a full visual universe, chosen by the model based on your prompt 🎬 auto-skip on dead videos, shuffle, request queue, fallback tiers when the AI whiffs 📱 retro flip phone UI — dial channels by number, unlock secret speakeasy rooms with hidden codes (420, 1337, etc.), DTMF tones and all you're not searching YouTube. you're asking an AI what it remembers. and what it remembers is what the internet collectively loved the most. video streaming as dream logic. https://t.co/Dg6zZvpqO1 🐉📺

We just launched Tinycloud into public beta 🌥️ It’s an AI agent for video work. It sees everything in your videos (transcripts, audio, visual context, on-screen slides, speaker patterns, and more) so you can query and make artifacts from them. Think Claude Code but for doing work across your videos. Try it and show us what you create → https://t.co/dfKusQCKIY 🧵

Automating Loan Income Verification with AI agents 💸☑️ Loan processors spend a huge portion of time verifying the borrower’s documents (tax forms, pay stubs, bank deposits), and cross-checking them for consistency. This tutorial shows you how to encode that logic into an agentic workflow that incorporates both state-of-the-art document OCR/extraction along with agentic reasoning with structured outputs to understand discrepancies between documents. All decisions are flagged to the human for approval. For these sensitive applications where 100% accuracy is critical, the goal is to not replace the human but help them make decisions more efficiently and accurately. The full tutorial is here: https://t.co/ZMFtyfkb8x. Feel free to follow it as a human or point your coding agent towards it. If you’re interested, come check out LlamaParse! https://t.co/TqP6OT5U5O

OMG HOLY CRAP ARE YOU TELLING ME TARIFFS MADE THINGS MORE EXPENSIVE IT'S ALMOST AS IF WE SHOULD HAVE LISTENED TO ECONOMISTS OH WELL https://t.co/yW8CaKrQkQ

🇮🇹🇪🇺 This is utterly unacceptable. Reports indicate that Giorgia Meloni is preparing to sideline Roberto Cingolani, CEO of Leonardo, Italy’s largest defence group. The reason? Multiple sources suggest this is not about performance - under Cingolani, Leonardo’s stock has registered a +700% increase - but rather about the “Michelangelo Dome”. Leonardo’s new AI-based air defence system, reportedly set to be tested in Ukraine in 2026, is now seen as “too competitive” for Washington. According to several reports, Cingolani’s perceived “too European” stance - focused on strengthening Europe’s strategic autonomy - may have played against him. If confirmed, this would be a political decision against Europe’s industrial and strategic interests. European states cannot claim sovereignty, and then punish those who actually try to build it.

We’re excited to announce the Pokee AI Ideathon: From Ideas to Impact with AWS Build! This is an in-person event for San Francisco / Bay Area founders, builders, creatives, and strategists to come together and turn bold ideas into compelling concepts, prototypes, and products in just a few hours. More than a traditional hackathon, this Ideathon is designed around a broader question: How do you quickly move from insight to workflow, execution and impact with AI?

FaceTime video support for AI agents through Linq’s API is now in early preview. Your AI assistant, personal trainer, or therapist - available to users through native apps like FaceTime and iMessage. Existing customers like @pika_labs are already building on it. No new apps needed 📈

Today, we’re opening @sunapp_ai to the public. We’ve been building this not so quietly during @a16z @speedrun. Audio used to be something you search for. Now, you generate it. Podcasts. Audiobooks. Courses. Any topic. Any length. Ask questions as you listen. And if you don’t know what to generate, SUN knows what to play. This is a new era of audio. Download it and experience the magic! Link below 👇

@ashu_trv Cool! I did something similar but just for AI community on X: https://t.co/kiuZ7QXLzb Yours is awesome for everything else

>8 out of 8 [cheap oss] models detected Mythos's flagship FreeBSD exploit Completely disingenuous They gave it just ~20 lines of code to read. They baked in custom, relevant context pertinent to the exploit at the top Reasoning *across files* is key to finding this exploit https://t.co/7GwDqfetOQ

OpenAI suspended its Stargate artificial intelligence infrastructure project in the UK because of regulatory hurdles and the country's high energy costs https://t.co/dJPed6e8Sh

Excited to support RoboHacks, @ycombinator's robotics hackathon this Apr 11–12 at SF! 🤖 120 builders. Physical AI. Real robots. Proud to be the only open model supporting the stack. 🛸RSVP here: https://t.co/jtAmnm2cNQ #physicalai #robotics #MARS https://t.co/yjVJRdWJkW

The killer v3 feature in action. "/last30days OpenClaw vs Hermes vs Paperclip" Before searching, it resolved: Resolved: - X: @openclaw + @steipete (creator), @NousResearch (Hermes), @dotta + @Paperclip_AI (Paperclip) - GitHub: openclaw/openclaw, NousResearch/hermes-agent, paperclipai/paperclip - Reddit: r/openclaw, r/hermesagent, r/LocalLLaMA, r/artificial - TikTok: #openclaw, #hermesagent, #paperclipai, #aiagent Then it searched everything and merged clusters across Reddit, X, YouTube, HN, GitHub, and Polymarket.

Multi-agent, real-time simulation of San Francisco. → running for 5 months (sim time) → autonomous movement + interactions → from 1 to 349 agents Powered by ANIMA (Asynchronous Neural Intelligence for Multi-agent Autonomy) the new architecture behind LifeSim (1 million real player interactions) LifeSim just crossed 1M+ real player interactions. That’s 1M+ datapoints of raw, unbiased human feedback. This is just a preview. More soon.

Browse the variants on Hugging Face: https://t.co/CvC208LXqi

Browse the variants on Hugging Face: https://t.co/CvC208LXqi

In 19 days, a jury in Oakland is going to decide whether the entire legal foundation of the AI industry is built on fraud. Everyone thinks the Musk vs Altman lawsuit is a billionaire grudge match. Two egos, one grudge, a $150 billion damages number designed for headlines. Easy to dismiss. Easy to scroll past. That's exactly what Altman wants you to think. Because what's actually on trial on April 27 is something much BIGGER than Elon's hurt feelings... A jury is going to decide whether you can legally take billions of dollars in nonprofit donations, use them to build the most valuable technology in human history, and then quietly convert that nonprofit into a for-profit company worth $850 billion. If the answer is no, the entire AI industry has a problem. Because OpenAI is not the only company that did this: Anthropic was founded by OpenAI defectors using the same nonprofit-first mission language. xAI pitches itself as building AI "for humanity." Every frontier lab has used the moral cover of "we're doing this for the good of the world" to attract talent, capital, and regulatory goodwill they would have never gotten otherwise. An Elon win doesn't just touch OpenAI. It creates a legal precedent that every AI company built on a nonprofit or public benefit promise becomes vulnerable to shareholder and donor clawback suits. That's why this case matters. And that's why Altman is panicking. Just look at what he did this week: Elon filed a motion demanding the court remove Altman and Brockman from their roles and FORCE OpenAI to return to its nonprofit origins. Then he amended the suit to say if he wins the $150 billion, all of it goes to OpenAI's charity arm. Not him. Zero dollars to Elon personally. That amendment was surgical. It stripped Altman of his entire public defense. He can no longer claim this is about Elon's ego or Elon's bank account. Elon is now legally on record saying he just wants the mission back. OpenAI's response was to panic-write a letter to the California and Delaware attorneys general asking them to investigate Elon for "anti-competitive behavior." Their strategy chief publicly accused Elon of coordinating attacks with Mark Zuckerberg. They called the lawsuit "harassment driven by ego and jealousy." That's NOT the response of a company that thinks it's going to win. Real companies with real defenses don't ask the government to silence the person suing them 3 weeks before trial. They let the evidence speak. OpenAI is scrambling because they know what's in discovery. Elon's team has been building this case for two years. Emails, board minutes, internal conversations about the conversion. The kind of paper trail that juries understand and executives can't explain away. And the timing couldn't be worse... OpenAI is trying to IPO at $852 billion. They just raised $122 billion. Microsoft has $135 billion of exposure to them. A jury verdict that even partially sides with Elon in late April or May would crater the entire IPO runway and send shockwaves through every major AI investor on Earth. This is why Altman spent the last 2 weeks doing press tours and policy blueprints and "super intelligence agendas" aimed at Washington. He's trying to REFRAME himself as the responsible statesman of AI right before a jury decides if he's a con artist. Most people will watch this trial start and think it's celebrity drama. The smart money is watching it and realizing that the legal foundation of the AI boom is about to be tested in court for the first time EVER. And if that foundation cracks, everything built on top of it is at risk.