MitraAI is an AI platform powering the Mitra robots from @inventorobotics
San Francisco, CA
Joined December 2016
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For the past couple of years we had written off Google.
They were too conservative to enter LLMs and their Gemini models sucked for a long time.
The new kids ran the show.
Now, Gemini 2.5 feels such a powerful thing.
#google #GoogleCloudNext
ALT Google Gemini 2.5 Pro Stats
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The way many showcase vibe coding projects is similar to using a shovel to dig shallow pits.
There's very little value in this.
Unless in a rare case when you have always needed a hole and without this modern shovel you could not do that.
#vibecoding #coding
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MitraAI retweeted
Just shared a new article on "The State of Reinforcement Learning for LLM Reasoning"!
If you are new to reinforcement learning, this article has a pretty generous intro section (PPO, GRPO, etc)
I addition, I cover 15 recent articles focused on RL and Reasoning Models,
We have surveyed over 500 people on vibe coding and interviewed dozens and here is what the future of AI generated coding is.
Most people are unable to grasp the level of change. Let us cut through the hype.
A thread...
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Engineers will deliver 10x value for the same pay and hours, with most benefits flowing to end users.
Those still working at 1x will be purged from the industry.
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MitraAI retweeted
One of the “holy grails” of robotic learning is to perform generalizable everyday household mobile manipulation tasks. With a new bimanual mobile robot, our latest work BEHAVIOR Robot Suite (BRS) takes a stab at this very very hard, still yet-to-be-solved problem!🤖🦾🤩
🤖 Ever wondered what robots need to truly help humans around the house?
🏡 Introducing 𝗕𝗘𝗛𝗔𝗩𝗜𝗢𝗥 𝗥𝗼𝗯𝗼𝘁 𝗦𝘂𝗶𝘁𝗲 (𝗕𝗥𝗦)—a comprehensive framework for mastering mobile whole-body manipulation across diverse household tasks!
🧹🫧 From taking out the trash to laying out clothes and cleaning toilets—𝗕𝗥𝗦 equips robots to handle practical, everyday activities.
🌐 Explore more: behavior-robot-suite.github.…
Let's dive in! 🤿🧵
MitraAI retweeted
This is amount of compute, which is correlated with but not exactly cost. In general, you can think of inference-time compute as a slider, with the ability to expend more compute to improve the quality of results (for some classes of problems more than others, & up to a point).
MitraAI retweeted
Announcing Cold Compress 1.0 with @answerdotai
A hackable toolkit for using and creating KV cache compression methods.
Built on top of @cHHillee and Team’s GPT-Fast for torch.compilable, light-weight performance.
Develop novel methods in as little as 1 line of new code.
MitraAI retweeted
What are the top 10 ranks from IITJEE, the hardest exam in India, 1998 doing today?
Abhinav Kumar, rank 1, didn't even go to IIT.
— IMO Gold medalist
— went to MIT to do 3 majors
— PhD at Harvard
— MIT Professor in Math
— Probably made $100M+ at Renaissance Tech
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MitraAI retweeted
this is amazing, but more importantly, liberating!
@kyutai_labs leading the charge on real time voice assistants and as a true open-science non-profit, will release the code and details.
congrats to a bunch of my former FAIR colleagues at Kyutai on the launch!
MitraAI retweeted
HSR layout is like the Hayes Valley of SF here. Once you're tapped into the startup ecosystem, you start bumping into people in popular places often.
And the talent? - just insane. Idk how VCs aren't as heavily investing here. In 1 month, I have met some insane builders here.
MitraAI retweeted
I got an early demo of this when I visited @uwcse a couple months ago and the ability to isolate sounds in your environment was pretty great. Nice work, @b_veluri, Malek Itani, Tuochao Chen, Takuya Yoshioka, and @ShyamGollakota!
Want to hear a friend in a noisy café? We designed deep learning-based headphones that let you isolate the speech from a specific person just by *looking* at them for a few seconds. CHI'24 honorable mention award.
Paper: arxiv.org/abs/2405.06289
Code: github.com/vb000/LookOnceToH…
MitraAI retweeted
Llama3-70B has settled at #5. With 405B still to come next...
I remember when GPT-4 released in March 2023, it looked like it was nearly-impossible to get to the same performance.
Since then, I've seen @Ahmad_Al_Dahle and the rest of the GenAI org in a chaotic rise to focus, working 100+hour weeks to get to these results, supported by many teams standing up GPU clusters, PyTorch optimizations, data infra, annotations and moving fast within all this despite large-company overhead.
The best part? We've opened up this magic to be in your control -- democratizing AI.
I find it nothing short of incredible!
So proud of my @AIatMeta colleagues to have delivered this.
Onward to #1.
Exciting update -- Llama-3 full result is out, now reaching top-5 on the Arena leaderboard🔥
We've got stable enough CIs with over 12K votes. No question now Llama-3 70B is the new king of open model. Its powerful 8B variant has also surpassed many larger-size models. What an incredible launch!
Huge congrats to Llama team at @AIatMeta and for such valuable contribution to open community! Can't wait to see the 400B.
