Very bullish on open source and local models
Imagine running near-Opus-level model locally on that $600, 16GB Mac Mini you bought last month
This 27B Qwen3.5 distill was trained on Claude 4.6 Opus reasoning traces and is putting up real numbers:
- beats Claude Sonnet 4.5 on SWE-bench
- keeps 96.91% HumanEval
- cuts CoT (chain of thought) bloat by 24%
- runs in 4-bit quantization
Why this matters:
local agent loops get a lot cheaper, faster, and more usable.
frontier models aren’t going to keep subsidizing cheap tokens on subscriptions forever
300K+ downloads already on HF
Link below 👇🏻
We’re early
You don't need to buy a GPU to master CUDA.
> Make an account on Tensara.
> Get access to GPUs like H100, A100 for free.
> Practice some of the impactful kernels on the platform.
All you need is a learning mindset.
Delighted by the launch of the Google AI Hub in the dynamic city of Visakhapatnam, Andhra Pradesh.
This multi-faceted investment that includes gigawatt-scale data center infrastructure, aligns with our vision to build a Viksit Bharat. It will be a powerful force in democratizing technology. It will also ensure AI for All, delivering cutting-edge tools to our citizens, boosting our digital economy and securing India’s place as a global technology leader!
@sundarpichai
Can robots learn without training❓
[𝗜𝘁'𝘀 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 ⬇ ]
Teaching robots to do complex tasks WITHOUT spending hours training them.
Sounds cool, right?
That's exactly what DIAL-MPC does!
The first training-free method for whole-body torque control using full-order dynamics:
✅ Instantly checks if a robot's moves are right or wrong
✅ Adapts quickly to new tasks without needing extra training
✅ Could work hand-in-hand with other robot learning methods
Robots are getting smarter AND faster without the need for long training sessions.
Website: https://t.co/cOte6eeVsZ
Paper: https://t.co/sNkOsIPfbC
Code: https://t.co/H12P1s90kA
Saw this first at @HaoruXue!
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🚀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗗𝗲𝗲𝗽 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀: https://t.co/wwizBPyzF0