@kimmonismus You’re doing what this community always does: overhyping every release. GPT-5.5 to 5.6 will be incremental, not a big leap.
This hype reminds me of Dario Amodei with Fable: looks huge, but progress is gradual.
Something the U.S. government blocked is coming back tomorrow.
Anthropic just announced it’s restoring two of its most powerful AI models. Know what that means? 👀
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
GPT-5.6 Sol Ultra just cracked 91.9% on TerminalBench 2.1.
We’re officially in the 90s — I had this penciled in for early 2027.
OpenAI now holds the top 2 spots, both ahead of Claude Mythos 5 (88.0%). This benchmark is basically saturated.
GPT‑5.6 Sol sets a new state of the art on Terminal‑Bench 2.1, which tests complex command-line workflows requiring planning, iteration, and tool coordination.
The new image generation in ChatGPT is finally here.
It looks insane in demos, but now comes the real test:
is it actually as powerful as they say, or is it just hype?
Today I’m putting it to the limit. 🚀
Introducing ChatGPT Images 2.0
A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence.
Video made with ChatGPT Images
It’s impressive to think that artificial intelligence can already generate films that, until recently, required budgets of thousands of dollars. It’s a remarkable breakthrough
Google is integrating full practice exams directly into Gemini.
It’s not AI generation per se, but as an embedded experience it’s incredibly smart: guided practice, instant feedback, and zero friction for students.
Real value comes from usefulness, not just “AI features.” 👏
We’re launching full-length, on demand practice exams for standardized tests in @GeminiApp, starting with the SAT, available now at no cost.
Practice SATs are grounded in rigorously vetted content in partnership with @ThePrincetonRev, and Gemini will provide immediate feedback highlighting where you excelled and where you might need to study more.
To try it out, tell Gemini, “I want to take a practice SAT test.”
🚀 Tracelight 1.0 is officially live.
AI agents for consultants have moved from theory to reality.
This is not basic automation. It is a true AI agent built for serious, real-world consulting work.
Introducing Tracelight 1.0
After six months, we are live with 5 of the 10 biggest management consultancies in the world, as well as PE funds and asset managers with over $600B in AUM.
Tracelight is the best AI add-in to Excel. In testing against the leading alternative add-ins, Tracelight 1.0 was:
- The most accurate
- 2x faster building analysis on average
- 20x faster at finding human errors in complex spreadsheets
We’ve been building with early adopters and enterprise partners for months. You can now reach a completely new level of performance in Excel. That’s why today we’re proud to launch a major new version.
To celebrate, we're giving 1 month of Tracelight Pro for free to anyone who comments LAUNCH below or TAGs a friend who needs this
Happy New Year 2026! 🎉✨
This year is set to be massive—incredible breakthroughs in AI, ideas that feel like sci-fi becoming real, and surprises we won’t see coming. 🚀🤖
Here’s to a 2026 full of growth, creativity, and big opportunities. Let’s go! 💫 #HappyNewYear#AI #2026
the primary criticism of AI you hear has nothing to do with water use or existential risk whatsoever: most people just think it’s fake and doesn’t work and is a tremendous bubble eating intellectual property while emitting useless slop along the way. when GPT-5 came out and perhaps didn’t live up to what people were expecting for a full version bump, the timeline reaction was not mild, it was a full-scale meltdown. there are many intelligent (and unintelligent) people who latched onto this moment to declare AI scaling over, thousands of viral tweets, still a prevailing view in many circles. The financial-cultural phenomenon of machine intelligence is one of the most powerful in decades, and there are a lot of people who would like for its position to be weakened, many outright celebrating its losses and setback. Michael burry of ‘Big Short’ fame, unfortunately the type of guy to predict 12 of the last 3 recessions, has bet himself into insolvency on the AI bubble’s collapse
one of the stranger things about this time is that there are very few secrets, and very little reason to be so misinformed. model labs have very little space in between creating new capabilities and launching them to the public. The view among the well informed public and not just “lab insiders” is that machine intelligence is absurdly joyfully smart at so many new things every month. It’s actively contributing on the cutting edge of programming and math and science. Sebastian Bubeck and co’s recent paper reports that GPT5-pro is capable of producing results on the frontier of theoretical physics research, Terry Tao wrote a blog about “vibe-proving” Erdos problems with the auto-formalization AI Aristotle. You can read that these scientists are using it to actively contribute to black hole physics, tighten mathematical bounds in optimization theory, churning morasses of biomedical data into real insight. Google Deepmind, from the way they are signalling, seems to be slowly closing a dragnet around the Navier-Stokes smoothness millennium problem (though of course, I don’t know). Several companies stocked top to bottom with brilliant scientists are racing to build pipelines to solve novel physics and chemistry and biology
You can read online about the new kinds of organizations being born around machine intelligence as a first class factor of production. For the first time, the new factor actually gives you ideas for improving the processes themselves. It’s designing whole assembly lines where some of the workers on the assembly line are also AIs, and the line itself is morphing and self-optimizing. Tiny teams are producing amounts of work that seemed impossible to organizations of a few years ago. It’s hard not to feel excited by the productivity growth happening in these admittedly narrow software sectors. Every time I use codex to solve some issue late at night or GPT helps me figure out a difficult strategic problem I feel: what a relief. There are so few minds on Earth that are both intelligent and persistent enough about some intellectual pursuit to generate new insights and keep the torch of scientific civilization alive. Now you have potentially infinite minds to throw at infinite potential problems. Your computer friend that never takes the day off, never gets bored, never checks out and stops trying. You can feel the unburdening of Atlas, the takeoff. It feels more prosaic and less poetic than it did in 2023, even though the results speak for themselves more loudly
After the release of GPT 5.2, OpenAI is celebrating its 10th birthday today. 🎂
For me, it’s special because I’ve been following the company’s journey for years, and watching its evolution has been incredible. The progress of its models and the impact they’ve made on the tech world is truly impressive.
🔴 OpenAI announces GPT-5.2!
Just a month after releasing GPT-5.1, the company is back with a major update to its flagship model. The announcement comes at a decisive moment, driven by increasing competitive pressure from Google and other AI leaders.
The big question now is: Will this be enough to stay ahead in the race for the most advanced AI?
Honestly, every day I’m blown away by how much AI multiplies my ability to get things done. It unlocks so many projects and opportunities that my problem isn’t the technology anymore… it’s having enough hours in the day.
That’s why I struggle to understand people who insist that “AI is overrated” or “not that useful.”
Most of the time, the issue isn’t the tool itself, but a lack of context, skills, and criteria to use it properly.
It’s like handing a computer to someone with no digital literacy and hearing them complain that “this thing is useless” because they don’t know what to do with it.
AI is exactly the same: it’s not magic, it’s leverage. The ones who learn to combine it with their expertise and critical thinking are simply playing in a different league.
🚨 🚨 OFFICIAL: DeepSeek just released DeepSeek-V3.2 and V3.2 Special Reasoning, new models built specifically for autonomous agents.
Early tests suggest they outperform GPT-5 and Gemini 3.0 Pro in reasoning, speed, and efficiency.
The whale is back — and stronger than ever. 🔥
🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents!
🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API.
🔹 DeepSeek-V3.2-Speciale: Pushing the boundaries of reasoning capabilities. API-only for now.
📄 Tech report: https://t.co/7EyydyNuG0
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ChatGPT Voice now works directly in the chat, with real-time responses, images, and maps. It’s a small update, but a huge convenience when talking with ChatGPT’s voice.
You can now use ChatGPT Voice right inside chat—no separate mode needed.
You can talk, watch answers appear, review earlier messages, and see visuals like images or maps in real time.
Rolling out to all users on mobile and web. Just update your app.
gemini 3 pro
• our most intelligent model yet
• SOTA reasoning
• 1501 Elo on LMArena
• next-level vibe coding capabilities
• complex multimodal understanding
available now in Google AI Studio and the Gemini API
@mark_k The quality is amazing, but saying Sora can’t compete is just not true. Veo 3.1 isn’t a big leap from the previous version — it still makes mistakes.