@tszzl Shouldnt be the deciding factor, but good 3D animation is one of the hardest public tests we have: long-range consistency meeting needle-in-a-haystack problem solving
This is the way. Accept code on merit and ensure that a person takes accountability for it. Doesn’t matter if it was typed, chiseled, generated, or bit-flipped via magnetized needle on a chip.
If it’s good, it’s good. If it’s slop, it’s slop.
Introducing AgentCloak: Use any AI without sharing your real data.
Chinese AI services, ChatGPT, Claude, doesn't matter.
You probably try to hide details before asking: different names, fake numbers, no address.
But then the answer's useless because the AI is missing actual context.
AgentCloak runs in your browser.
It swaps your sensitive info for realistic fakes before sending anything, then swaps your real info back into the response.
You get what you need.
The AI gets nothing about you.
Works entirely in-browser.
Already trusted by some of the biggest companies in the world.
Now free to use.
https://t.co/hioia521QQ
Saw Jensen's tweet and had to test it myself, ran Astra Low and Ultra through Anthropic's take-home.
Wild that this model isnt even Vera Rubin trained and already produces code that would've landed an interview at Anthropic not even 8 months ago.
Astra Ultra brought compute cycles from 147,734 down to 1,136 cycles. It only took 30 minutes of work to make it 130x faster. All tests passing.
Astra Low only took 10 minutes to get to 1,350 cycles.
@ChaseLochmiller@OpenAI GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.
AGI has arrived. Congratulations @OpenAI team.
400K GPUs coming online next.
Are you paying attention?
A 2B model is outperforming GPT-OSS-20B on the Artificial Analysis Intelligence Index, while being small enough to run on dramatically more accessible hardware.
If you think AI is disruptive now, wait until we figure out how dense intelligence can be.
🚀 Meet MiniCPM5-2B, a 2B-parameter language model bringing high intelligence density to the edge, now open source!
It ranks #1 among open-source models under 4B parameters on the
@ArtificialAnlys Intelligence Index, with a score of 23.
It also scores 20 on the Agentic Index, bringing an early form of general-purpose agent capability to the edge.
Across 34 benchmarks, MiniCPM5-2B achieves an average score of 53.9, covering coding, math, long-context understanding, tool use, and agentic tasks.
And this release goes beyond the model itself.
We’re opening up the data, training recipes, and RL stack behind MiniCPM5-2B.
🤗 Hugging Face: https://t.co/FZOMTZhBjq
💻 GitHub: https://t.co/2L0I8bYv8f
Modelscope: https://t.co/WRlPNEAzgu
Web: https://t.co/gRSu65FeZL