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Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier.
First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks.
- It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities.
- It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks.
- And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end.
Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2 on the leaderboards, surpassing the score of Nano Banana 2 on image editing.
Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI.
- Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost.
All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat.
Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost.
Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare.
Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: https://t.co/v65eop5Ixq
@Shazam is now inside ChatGPT.
Identify songs in real time — without leaving the chat.
@Apple + @OpenAI keep building. First Apple Music. Now this.
AI is the new home screen.
Huge drop from @xai — announced by @elonmusk on @X:
Grok 4.20 Beta landed Feb 17, 2026.
This isn’t another model update. It’s the first AI with a native 4-agent team baked into the architecture from the ground up.
Premium+ or SuperGrok users: switch to “Grok 4.20” in the @grok / @X model picker right now. Here’s exactly what it is, why it’s different, and prompts to feel the difference 👇
Prompt 3 (Creative + Rigorous):
“Write an engaging 800-word story-style article on sustainable energy in 2035. Make it exciting but back every claim with plausible tech trajectories and risks.”
→ Harper drives the story, Benjamin & Lucas fact-check every sentence live.
Prompt 4 (Pure Team Reasoning):
“As your full 4-agent team, solve: What is the optimal US energy mix in 2040 for net-zero + economic growth? Show each agent’s contribution.”
→ This one literally shows the agents working together on screen.
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings.
OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.
Manus is entering the next chapter: we’re joining forces with Meta to take general agents to the next level.
Full story on our blog: https://t.co/huPrnbITCi
Tired of inconsistent AI outputs? This graphic nails the solution: #PromptScaffolding. By implementing structured prompts with clear sections, detailed roadmaps, and delimiters, businesses are unlocking:
✅ Consistency
📈 Scalability
⭐ Guaranteed Quality
The impact? A reported 60% cut in content creation time! This isn't just about better prompts; it's about reclaiming hours for strategic growth and boosting team productivity.
What's *your* biggest challenge with AI consistency?
#AI #AITips #Productivity