mhubii

65 posts

mhubii

mhubii

@mhubii

Robotics, AI, Medical Imaging LBR-Stack: https://t.co/Aaz7BSwWhl ROS-AI: https://t.co/KFxqfLrMdZ

London Katılım Ağustos 2014
99 Takip Edilen33 Takipçiler
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Sam Altman
Sam Altman@sama·
If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly deprecating old models that users depended on in their workflows was a mistake). This is something we’ve been closely tracking for the past year or so but still hasn’t gotten much mainstream attention (other than when we released an update to GPT-4o that was too sycophantic). (This is just my current thinking, and not yet an official OpenAI position.) People have used technology including AI in self-destructive ways; if a user is in a mentally fragile state and prone to delusion, we do not want the AI to reinforce that. Most users can keep a clear line between reality and fiction or role-play, but a small percentage cannot. We value user freedom as a core principle, but we also feel responsible in how we introduce new technology with new risks. Encouraging delusion in a user that is having trouble telling the difference between reality and fiction is an extreme case and it’s pretty clear what to do, but the concerns that worry me most are more subtle. There are going to be a lot of edge cases, and generally we plan to follow the principle of “treat adult users like adults”, which in some cases will include pushing back on users to ensure they are getting what they really want. A lot of people effectively use ChatGPT as a sort of therapist or life coach, even if they wouldn’t describe it that way. This can be really good! A lot of people are getting value from it already today. If people are getting good advice, leveling up toward their own goals, and their life satisfaction is increasing over years, we will be proud of making something genuinely helpful, even if they use and rely on ChatGPT a lot. If, on the other hand, users have a relationship with ChatGPT where they think they feel better after talking but they’re unknowingly nudged away from their longer term well-being (however they define it), that’s bad. It’s also bad, for example, if a user wants to use ChatGPT less and feels like they cannot. I can imagine a future where a lot of people really trust ChatGPT’s advice for their most important decisions. Although that could be great, it makes me uneasy. But I expect that it is coming to some degree, and soon billions of people may be talking to an AI in this way. So we (we as in society, but also we as in OpenAI) have to figure out how to make it a big net positive. There are several reasons I think we have a good shot at getting this right. We have much better tech to help us measure how we are doing than previous generations of technology had. For example, our product can talk to users to get a sense for how they are doing with their short- and long-term goals, we can explain sophisticated and nuanced issues to our models, and much more.
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Andrej Karpathy
Andrej Karpathy@karpathy·
It's 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention. E.g. 99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them. In 2025 the docs should be a single your_project.md text file that is intended to go into the context window of an LLM. Repeat for everything.
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Audrow Nash
Audrow Nash@audrow·
Pixi (by @prefix_dev) is the unifying dev experience that I've been wanting for robotics
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reed
reed@reed·
driving safely means @waymo predicting the future
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mhubii
mhubii@mhubii·
@kevin_zakka so essentially this uses optas as the task specification framework with spherical constraints and end-effector target velocity that follows the applied force (similar to your post). The robots positions are related through marker-free eye to hand calibration
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tushar.pyc
tushar.pyc@tusharisanerd·
absolute gem from sqlite source, shared by @iavins
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Andrej Karpathy
Andrej Karpathy@karpathy·
@_aidan_clark_ I am also exhilarated to learn that you can now change the color of your icons, and that you can choose ANY color you want, right before we look at how we deploy SOTA AGI to a few billion devices.
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mhubii
mhubii@mhubii·
@audrow Thanks for sharing 💡
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Audrow Nash
Audrow Nash@audrow·
I tried doing robotics projects on my Mac with QEMU. Too many little things were painful. I'm back to using an old Ubuntu laptop. Feels good. Things just work.
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Audrow Nash
Audrow Nash@audrow·
I'm not, not saying that I'm thinking about it. What would it look like for you?
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Sam Altman
Sam Altman@sama·
the GPT store is live! openai.com/blog/introduci… fun speculation last night about which GPTs will be doing the best by the end of today.
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mhubii
mhubii@mhubii·
@audrow Cloud APIs for solved problems, e.g. eye-in-hand calibration. Solved problems sometimes turn practically unsolved merely through changing software.
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Audrow Nash
Audrow Nash@audrow·
Wishful thinking. If you could give the robotics community the gift of solving one of its problems, which problem would you solve? I'd love to hear why in the comments.
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pikuma.com
pikuma.com@pikuma·
When I accidentally double-click a small XML file on a Windows machine...
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Science Is Strategic
Science Is Strategic@scienceisstrat1·
Europe 🇪🇺 significantly lags the US 🇺🇸 and China 🇨🇳 as a tech power. Data-rich 🧵 below on the economic consequences of tech stagnation for Europe’s prosperity and beyond (1/25) Cc: @GerardAraud @Noahpinion @erikbryn @paulg
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sophie
sophie@netcapgirl·
when you spent the last few months learning linear algebra to get up to speed w AI & now you have to learn condensed matter physics
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