Taneem Ullah Jan

@forwarddeploy @xai @milichab @JasonBud sadly i’m not using paid version of X here so can’t send you a DM. Would you mind opening it please, so I can reach out?

Wave after wave: In just the last few days, founders and founding engineers from incredible startups have joined @xai The talent density is insane - and getting stronger every week If you've gone 0→1 before and want your next moonshot, join forces with @milichab @JasonBud @dchaplot @AmanGotchu @wwzeng1 and the rest of us who embrace the startup DNA DMs open. Come make history 🔥

@rasbt hmm absolutely yes, I mean that’s why we have all these architecture diagrams 😊

@taneemishere I see. In that case they'd be all open-weight 😊

I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place! sebastianraschka.com/llm-architectu…

@rasbt ahh that could be a discussion but maybe what if we add open-weight with a yes or no?

@taneemishere It'd be hard to tell whether it's open-weight or open-source because they may both use the same license like MIT, Apache V2 etc. (But the definition of open-source is tricky, some only call it open source if training code is available under open source licenses as well)

@rasbt license could be a good addition, will directly tell if it’s an open source/weight model or not

Following a suggestion, I'm adding the context directly to the cards. But there's this blank space now. What other info could be added here? License type? Approx. size in BF16? Something else?

@CarinaLHong congrats Carina 🥳 bullish that math will be solved with AI at Axiom

Excited to announce Axiom’s Series A. We raised $200 million fresh capital at a $1.6 billion+ valuation in a round led by Menlo Ventures to accelerate our strong execution momentum — extending our lead in formal math into Verified AI. Mathematicians and theoretical scientists dream up theories, formulate hypotheses. They then come up with proofs, a two-step process of discovery. We created Axiom to turn the sparks of curiosity into known truths - and to compress the timeline of breakthroughs. The Verified AI dream is a generalization of this dream. It is more than providing safeguards for mission-critical systems. This same gap between expert intuitions and the machinery needed for grounding exists today in any domain where the generation-verification iteration loop can be tighter. And yes, software eats the world, recursive self-improvement is a near sight. Verified AI is not about hallucinations, what’s lousy; instead, it’s about superintelligence, the brilliant. We work on Verified AI not due to a distrust in technology, but rather, we think the rapid advances of AI compels it. I’m grateful to work with and learn from the best team in the world. It’s not an easy journey, but climbing with you is what makes it worth it. And can’t wait to build with a more accelerated speed - nod to @shubho for grounding an ambitious vision in relentless execution everyday. This round was led by @mkraning with @CCgong. Thanks also to existing investors who doubled down for your conviction since the start (@jturow, @mattmcilwain of @MadronaVentures; @marcievu of @greycroftvc; @yanda, @IdaGirma, @nickgiometti of @BCapitalGroup; @ChrisAbshire_ of @Toyota_Ventures; @xtzhou, @jhuber of @TriatomicCap) and the new firms who we got to meet through the process.

@antigravity you guys just made it unusable even for pro subscribers as well

We’re evolving Google AI plans to give you more control over how you build. Every subscription includes built-in AI credits, which can now be used for Antigravity, giving you a seamless path to scale. Google AI Pro is the home for the practical builder, hobbyists, students, and developers who live in the IDE and don't necessarily rely on an agent. This plan features generous limits for Gemini Flash, with a baseline quota included to "taste test" our most advanced premium models. Google AI Ultra serves as the daily driver for those shipping at the highest scale who need consistent, high-volume access to our most complex models. If you’re on Pro but need "extra juice" for a heavy sprint or deeper access to premium models, simply top up your AI credits to customize your plan. Keep building. Keep shipping.

officially hit by the GPU limits, need more compute power to scale things up 🫤

@hyhieu226 @OpenAI @xai please take care as health is above all else in life, you’re an inspiration for people like me

I have made the difficult decision to leave @OpenAI. Working here and at @xai before was a once-in-a-lifetime experience. I have met the best people. Not the best people in AI. Not the best people in tech. Simply the best people. At these companies, I have helped creating extremely intelligent entities that will meaningfully improve our lives. The work makes me proud. But the intensive work came with a price. I cannot believe I would say this one day, but I am burnt out. All the mental health deteriorating that I used to scoff at is real, miserable, scary, and dangerous. I am going to take a break from frontier AI labs, and will take my family to my home country Vietnam. There, I will try something new, and also search for a cure for my conditions. I hope I will heal. Until then.

@ChrisPainterYup I'm not done yet. Just a little distracted by the singularity right now

@mziizm applied 🤞

We're hiring a Research Engineer who understands models at a deep technical level and excited to take responsibility across the full lifecycle. If you're excited to join a small team driving research with real-world impact, we'd love to hear from you. shorturl.at/EJxxr

@ZarakKhannn @aakashgupta hahah ta ase zrah vale de mara, mung replace kolo ke la time shta 😉 enjoy till then!

@taneemishere @aakashgupta Tek de wey yr filhal bach yu

Google and Microsoft just co-authored the spec that turns every website into an API for AI agents. The second-order effects here are massive. Right now, browser agents work by taking screenshots, parsing the DOM, and guessing which buttons to click. It works about as well as you’d expect. Fragile, expensive, slow. WebMCP replaces all of that with a single browser API: navigator.modelContext. Websites register structured tools directly in client-side JavaScript. The agent reads a menu of available actions, calls them, gets structured data back. No scraping. No backend MCP server in Python or Node. The tools run inside the browser tab and share the user’s existing auth session. Early benchmarks show ~67% reduction in computational overhead compared to visual agent-browser interactions. Task accuracy around 98%. The second-order effect is where this gets wild. Today, when a browser agent visits two competing airline sites, it’s guessing at both interfaces equally. Once WebMCP adoption spreads, the site that exposes structured tools gives the agent a clean, reliable path to complete the task. The site that doesn’t forces the agent to fumble through the UI. Agents will prefer the cheaper path. Every time. This means “Agent Experience Optimization” becomes a real discipline. Tool naming, schema design, description quality. Sound familiar? It’s the same shift that happened when meta descriptions and structured data became optimization surfaces for search engines. Except this time, the traffic source isn’t Google’s crawler. It’s every AI agent on the internet. Bots already make up 51% of web traffic. Google just gave them a front door.

@ZarakKhannn @aakashgupta na mara ma khafa kega da ta yao zal istemal ka pata ba drta olagi che sona bekara de

@aakashgupta @taneemishere ta wel gup de us ugura gup gup ke ye zma job shuru ko

@bindureddy but getting into a PhD is nearly impossible 🫤 is there any other way?

@openai’s codex helps a lot when you want a very serious and careful execution, like system design/implementation and infrastructure —on the other hand, @claudeai helps quite well with rapid development and immediate results, like fixing a quick bug and or patching an issue

@ZarakKhannn absolutely, gulshed (the legend) should have warned us on-time about this disaster 😁

@taneemishere Haha my body knew they were up to no good 🤣 4 years later they’ve taken over the world

differential equations are what you being most scared of 😁 the autonomous coding

soo much to learn and experiment with and too little time to do it —this is what i feel these days!

@jasondeanlee couldn’t even convert a single text+graph/image screenshot to latex for me

Tried prism, or whatever the overleaf +gpt thing is called. Uploaded our volt submission and ran out of context. Just 2500 lines of latex, what's the point if a paper can't fit in the context. Why's openai product team so bad...

@giffmana spelling and grammar mistakes are the new “i’m not a robot/AI” thing!

I'm now intentionally making typos in my prompt, just so that I can still feel something.

only those who have been through, know the pain and struggle behind!