Jonas Eschmann
@jonas_eschmann
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PhD student @UCBerkeley Working on reinforcement learning for continuous control @rl_tools
Berkeley, CA
Joined March 2023
We present RAPTOR! 🚁 A tiny foundation policy flying any quadrotor 🦾 Tested on 10 real quadrotors from 32g to 2.4kg ⚡️ Adapts within milliseconds, zero-shot ⚙️ Runs inside PX4/Betaflight/etc.
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Everyone is talking about the 1GW datacenter, no one about the 1GW (wet)lab. @LiamFedus
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Time to upgrade your CogSec. They are attacking the most vulnerable. E.g. people with health issues (cf. screenshot of DM). I’m sure society will build antibodies eventually, but only after going through some rough years of adjustment
Yes, we built a phone farm (and its pretty sick). At first, it was to tackle the first evolution of ai on socials: replacing human creators with ai, mainly used for marketing. Many businesses use us for that today. But the device infra gave us ability to run every possible
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BYOS - Bring Your Own Subscription This is the way!
According to The Information, OpenAI has pitched companies on letting people sign into their websites using ChatGPT credentials through a "sign in with ChatGPT" feature, where startups using OpenAI's models could shift their API costs to customers by charging against their
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research is beautiful because for a brief moment in time you know something that no one else in the world knows
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Great summary!
< RAPTOR: Hardware Agnostic Controls > Researchers have developed RAPTOR, a single AI policy that can fly almost any quadrotor, zero-shot. It's a tiny neural net (~2k parameters) that adapts in milliseconds to drones ranging from 32g to 2.4kg, with different motors, props, and
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Full Video: https://t.co/Dpgia1zJ4P Paper: https://t.co/vjpY1EI5pu For code, interactive sim and more, check out the project page ⬇️
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Huggingface Zero but the model creator gets a rev-share of the user compute spend. Who is building this?
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“Floor” and “door” should really be spelled “flor” and “dor”. 💀⤵️⛰️
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Perf has saturated for 90% of chat bot users. Most use cases don‘t benefit from incremental intelligence. It’s a product race now. It’s interesting that zuck is shooting for ASI when everyone else is going for product features and distribution. Might be the right call. Chat looks
New Gemini Drops just dropped Our regular update to what’s new in the Gemini app is here. 1/ Everything we shipped this month 🧵↓
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The Covid dent is crazy! I don‘t think we fully realize the consequences of the virus (and countermeasures), yet.
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The Internet is filled with people reaffirming each other how today's compilers are very very smart and how you'd need to try very very hard to write better assembly by hand, i.e., people who haven't yet figured out how to use Compiler Explorer.
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Did anyone try: large, frozen base-model encoder & small, chain-of-thought decoder, using cross-attention and trained using RL? Seems like reasoning should not need that many params but using cross-attention into the base-model would allow it to tap the large knowledge-base 🤔
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git diff A B should have A - B semantics and not B - A and I will die on this hill
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What if all the countries spent their trade surpluses on US stocks? Bye bye structural multiple expansion… 🤔
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Don’t attribute to intelligence that which is sufficiently explained by sustained curiosity.
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