Basilis Kanonidis

@Shpigford I was using for something similar ( materials recognition ) Qwen3-VL-32B and updated / changed to Gemini after benchmarking. AT 79% MMMU-Pro (vs ~60% for 32B Qwen) — dramatically better at identifying materials, colors, textures, and spatial relationships

what's the best model right now for image analysis? (assume cost is not a factor) specific use case is passing in product images and having the model write a detailed description of what it sees (colors, textures, scale/sizing, item identification, etc etc)

Zuckerberg's yacht once sailed 9,600 nautical miles, burned 676,800 liters of diesel, and waited two months in the South Pacific for him to show up. He never came. It turned around and went home. The vessel burns 1,165 gallons of diesel per hour at cruising speed. The carbon output of 630 cars running simultaneously. In nine months, it produced 5,300 tons of CO2, what 400 American households emit in an entire year. Meta's sustainability report pledges net zero across their value chain by 2030. Zuckerberg's personal fleet (there's a $30 million support vessel that follows the yacht everywhere carrying submarines, helicopters, and water toys) produced more emissions on that single empty round trip than most people will generate in a lifetime. The fuel tank holds 423,700 liters. A full fill costs about $230,000. Based on his 2024 wealth increase, Zuckerberg earns that in under 90 seconds. Net zero is a line item in someone else's budget. It always was.

Anthropic CEO: “ I have engineers within anthropic who don’t write any code, they just let Claude write the code and they edit it and look it over” “At anthropic writing code means designing the next version of Claude it self, so we essentially have Claude designing the next version of Claude itself, not completely but most of it”. In the last 52 days, the Claude team dropped 50+ major feature launches. This is literally INSANE.

Europe will love Tesla self-driving! Due to the extreme regulatory burden of the EU, which in general stifles innovation in Europe, Tesla owners there have been stuck with basic lane-following.

Given that I have built two companies in widely different fields to trillion dollar plus valuations simultaneously, I am might be getting a few things right once in a while

Next.js 16.2 introduces a stable Adapter API, built with Netlify, Cloudflare, OpenNext, AWS, and Google Cloud. But the API is only part of the story. Next.js is used by millions of developers across every major cloud, and making it work well everywhere is on us. Here are our commitments. nextjs.org/nextjs-across-…

We're rolling out plugins in Codex. Codex now works seamlessly out of the box with the most important tools builders already use, like @SlackHQ, @Figma, @NotionHQ, @gmail, and more. developers.openai.com/codex/plugins

Imagine

Life is full of ungrateful people. To avoid getting hurt, do no good.

Ladies and gentlemen, I'd like to welcome @benjitaylor to 𝕏, our new design lead. I met Benji six years ago when I invested in his app: it was one of the most well-designed products I'd encountered. I knew right away he was on track to become one of the best designers in the world. After 6 months of convincing, we're finally teaming up and building the greatest design team in the industry.

Starbase at night as @SpaceX prepares for preflight testing.

Lots of companies are now building primitives for an economy where AI agents are the primary users instead of humans. They're betting on an economy of AI coworkers. 1. AgentMail (@agentmail): so agents can have email accounts 2. AgentPhone (@tryagentphone): so agents can have phone numbers 3. Kapso (@andresmatte): so agents can have WhatsApp phone numbers 4. Daytona (@daytonaio) / E2B (@e2b): so agents can have their own computers 5. Browserbase (@browserbase) / Browser Use (@browser_use) / Hyperbrowser (@hyperbrowser): so agents can use web browsers 6. Firecrawl (@firecrawl): so agents can crawl the web without a browser 7. Mem0 (@mem0ai): so agents can remember things 8. Kite (@GoKiteAI) / Sponge (@PayspongeLabs) : so agents can pay for things. 9. Composio (@composio): so agents can use your SaaS tools 10. Orthogonal (@orthogonal_sh) so agents can access APIs easily 11. ElevenLabs (@ElevenLabs) / Vapi (@Vapi_AI) so agents can have a voice 12. Sixtyfour (@sixtyfourai) so agents can search for people and companies. 13. Exa (@ExaAILabs): so agents can search the web (Google doesn’t work for agents) If you stitch all of these together, you get a digital coworker that looks more human than AI.

So @nikitabier implemented @photomatt's idea to stop AI bots from destroying the reply section on here You can set it to only allow people you follow and the people in turn they follow to reply, nobody else If on average ppl follow 500 people that means still 500*500=250,000 possible repliers But all the spammers are isolated out 👏

Basecamp is now fully agent accessible with a brand-new and comprehensive CLI, wrapped by a great skill, and backed by a revamped and much expanded API. It's a fantastic way to give your agents access to everything in Basecamp and integrate it anywhere. basecamp.com/agents

My buddy runs a company helping manufactures implement ai. He showed me the leads he’s getting. It’s nuts. Family businesses I’ve never heard of making $100m a year. They know the need ai but no idea what to do. Crazy how much momey is out there

Your work tools in Claude are now available on mobile. Explore Figma designs, create Canva slides, check Amplitude dashboards, all from your phone. Give it a try: claude.com/download

Grok

OpenAI just exited the video generation business entirely. App dead. API dead. No video inside ChatGPT. Disney’s $1 billion deal, signed four months ago, is dead. Read that again. This isn’t a consolidation into the super app. Altman told staff Tuesday that OpenAI is winding down all products using video models. Disney’s own statement says they respect OpenAI’s decision to “exit the video generation business.” The Sora research team is being redirected to robotics. The reason is sitting right there in the competitive data. Anthropic hit $19 billion in annualized revenue by early 2026 selling text and code. No video generation. No image generation. No consumer social app. No Disney deal. One product surface: chat, code, computer use, all in one place. OpenAI looked at where every dollar of market growth was coming from and saw the answer: coding and enterprise. So now they’re copying the model. ChatGPT, Codex, and the browser merge into one app. Instant Checkout killed today too. Every consumer experiment is getting cut. What remains is the Anthropic playbook: one app, code and chat, enterprise and developer focus. The Sora numbers explain the urgency. Total consumer revenue across iOS and Android since September: $1.4 million. Peak month was $540,000. Every video generation burned GPU compute that could have been running inference for ChatGPT or Codex instead. OpenAI’s own head of Sora announced generation limits because chips couldn’t keep up. At $14 billion in projected 2026 losses, every GPU matters. Google just inherited the AI video market by default. Nano Banana already lives inside Gemini. No standalone app to manage, no separate brand to support. Among the majors, they’re the only ones left. Runway, Kling, Minimax, Luma, and the other independents are still shipping, but none of them have Google’s distribution. Disney put $1 billion in stock warrants on a product that lasted six months. The deal was announced in December. Characters from Marvel, Pixar, and Star Wars were supposed to be generating fan videos on Sora by now. Instead, Disney is writing a polite press statement about “respecting OpenAI’s decision” while its legal team unwinds a deal that never produced a single licensed video. Four months from billion-dollar partnership to obituary. That’s how fast the AI product landscape reprices when the unit economics don’t work.

Optimus

Introducing the world’s first penetration testing for vibe coding to Lovable. You can now prove the security of your Lovable-built apps through a swarm of AI agents that run comprehensive tests, checking for OWASP Top 10 vulnerabilities, privilege escalation, and data exposure, powered by @AikidoSecurity. This used to take weeks, require dedicated security teams, and cost $5k-$50k. All findings are validated to eliminate false positives and sync back into Lovable as actionable issues. This generates a formal pentest report for SOC 2, ISO 27001, client security questionnaires, or even investor due diligence.