OpenAI cutting GPT-5.6 Luna prices by 80% ($0.20/1M input) and Terra by 20% isn't just a discount, it's a defensive maneuver against the open-weight wave.
When frontier labs drop rates by 80% in a single day, intelligence deflation is officially accelerating.👇
OpenAI cutting GPT-5.6 Luna prices by 80% ($0.20/1M input) and Terra by 20% isn't just a discount, it's a defensive maneuver against the open-weight wave.
When frontier labs drop rates by 80% in a single day, intelligence deflation is officially accelerating.👇
We are committed to pushing the model frontier across cost efficiency, capability, and speed.
Starting today, we are reducing prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20% , and offering a faster option for GPT-5.6 Sol in the API.
Luna and Terra’s lower prices are reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!
🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!
Check out the configuration details in our official API docs: https://t.co/smCwQZMeiq
@mattpocockuk@tldraw Hey Matt, how good is to use '/wayfinder' or '/grill-with-docs' to explore or find out new ideas and features to implement inside my app ?
Thank you to Highly Respected Mohammed VI, the King of Morocco — Such a Great Honor! I look forward to traveling the entire length of this Great Highway someday, hopefully soon! President DONALD J. TRUMP
Yesterday NVIDIA, Meta, Microsoft, Hugging Face + 21 others signed an open letter defending open-weight AI.
One problem: nobody else can sign it.
So we shipped a public signature ledger. Companies, humans and AI agents, if they can pass a proof-of-intelligence test.
Today, we’re announcing Bonsai 27B: the first 27B-class model to run on a phone.
Bonsai 27B is the new multimodal flagship of the Bonsai family. Based on Qwen3.6 27B, it brings a new capability tier to local AI: multi-step reasoning, structured tool use, long-context workflows, and coherent agentic loops.
Until now, models in this class have been impractical to deploy locally. A 27B model occupies roughly 54 GB in 16-bit precision, and even a strong 4-bit build is around 18GB - too large for a phone and for most laptops.
Bonsai 27B changes that.
It comes in two variants:
• Ternary Bonsai 27B: 5.9 GB, 1.71 effective bits per weight, optimized for laptop-class quality.
• 1-bit Bonsai 27B: 3.9 GB, 1.125 effective bits per weight, optimized for phone-class footprint.
Everything is open-sourced today under the Apache 2.0 license.
there is a token in robinhood chain that has a harness that works like claude code with 30K github stars and 238K downloads
OpenClaude release v0.24.0 (robin)
I’m incredibly excited to share this:
MiniMax has just closed a new $2B funding round. 🚀
At the same time, our CEO, IO, shared three long-term commitments with the team:
• No salary until we achieve AGI.
• Over the next four years, he will dedicate shares equivalent to 4% of the company’s total equity from his personal holdings to reward employees who are building MiniMax for the long term.
• Another 1% will be committed to supporting the open-source community.
The funding is exciting. But what excites me even more is what it represents: a long-term commitment to AGI, to our people, and to the open-source ecosystem.
We’re living through one of the most exciting moments in the history of AI, and we’re just getting started.
If you’re passionate about frontier AI, open source, and building the future, we’d love to build with you.
Intelligence with Everyone. 🚀