Misha Denil @notmisha
I'm a Research Scientist at DeepMind. I tweet about things that interest me, mostly machine learning things. mdenil.com London Joined October 2010-
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Perhaps the best way to stop people from engaging in magical thinking about AI behavior is to stop them from engaging in magical thinking about human behavior. It's hard to have a serious, productive conversation if we insist on pretending any of this is magic.
People feel very threatened if you try to take away the thing they use to differentiate themselves from rocks.
People feel very threatened if you try to take away the thing they use to differentiate themselves from rocks.
A big bunch of nails in the coffin of the idea that open source AI models are more dangerous than closed ones. And a huge warning to regulators who are on the way to throw the AI baby with the regulatory bath water. What has been happening since the release of Llama-2 is an…
That swing-catch in the beginning is nuts.
That swing-catch in the beginning is nuts.
I've seen a few claims along the lines of "AI safety orgs haven't ever tried to ban *current* open-source LLMs, just hypothetical super-dangerous future ones." As far as I can tell this claim is totally false. I provide evidence in this post. 1a3orn.com/sub/machine-le…
Automation ossifies process. As soon as you automate something it becomes much harder to change it.
Soumith Chintala @soumithchintala
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186K Followers 877 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.Delip Rao e/σ @deliprao
46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈(((ل()(ل() 'yoav))).. @yoavgo
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88K Followers 901 Following I write about genetics, 'metrics, and demographics. Read my long-form writing at https://t.co/8hgA4nNS2A.Excited to announce Tau Robotics (@taurobots). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different…
I collect esoteric astronaut images. Ones that are mysterious, eldritch, and could inspire a story on their own. Currently, this is my favorite. Does anyone else have some to share?
So glad to share that I am one of the recipients of an @OpenAI Superaligment Fast Grant on the topic of #CoTfaithfulness 🥳🥳
The superalignment fast grants are now decided! We got a *ton* of really strong applications, so unfortunately we had to say no to many we're very excited about. There is still so much good research waiting to be funded. Congrats to all recipients!
Paper engineering, i'm telling my stories with shapes
Our @RekaAILabs Tech Report / Paper is out! 🔥 Tech reports with completely no information are kinda boring so we’re revealing some interesting information on how we train our series of Reka models including tokens, architecture, data & human evaluation workflows. 😃 We tried…
I have talked to a lot of executives buying Microsoft Copilot for their firms. Not one seems to have considered what it means to suddenly automate the vast majority of management writing without training or reconsidering the meaning of the work. From my book, Co-Intelligence:
There appears to be a mismatch between publishing criteria in AI conferences and "what actually works". It is easy to publish new mathematical constructs (e.g. new models, new layers, new modules, new losses), but as Apple's MM1 paper concludes: 1. Encoder Lesson: Image…
"Is this behavior emergent or does it come from the data?" is not a debate we should be having. All emergent behavior comes from the data. It's true of humans and it's true of AI. None of us has ever magically pulled anything out of the ether.
We do care about useful, novel insights. But these aren't divorced from the data - they extend the data using information that exists within it. I don't think AI will ever do anything that can't be learned from its training data. But then again, neither did Einstein or Mozart.
Perhaps the best way to stop people from engaging in magical thinking about AI behavior is to stop them from engaging in magical thinking about human behavior. It's hard to have a serious, productive conversation if we insist on pretending any of this is magic.
@Dorialexander And steering vectors. People are starting to wake up on them, but many just don't get how powerful they are - isolate and augment the specific activations for your tasks, or suppress unwanted ones. And then there's memit, still being slept on. There's SO much you can do local
Did Stanislaw Lem write this tweet
People are worried about superhuman AI. But equally important to consider: what if we made the moon mad at us? It could simply choose to roll out of the sky, destroying our planet. Not enough people are planning for this
Never not going to point people to “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI dl.acm.org/doi/10.1145/34… and Quality at a Glance arxiv.org/abs/2103.12028 for evidence of just how little value most ML practitioners put on data.
Announcing today in @WIRED the release of Common Corpus, the largest collection of fully open corpus on HuggingFace: nearly 500b words (600-700b tokens) in public domain. wired.com/story/proof-yo…
We also made a similar transition to ROS-free. The non-obvious thing is that modern NN models (BC policies, VLMs, LLMs) breaks the abstraction of ROS modules. Raw sensory stream instead of state estimation, actions instead of plans, etc. Need new ROS for the next-gen modules.
Interesting (and sad) result here; I really had hoped more people would be able to just run with ROS2. But it seems like it's not quite there, if this is in any way worth doing for a small company/fast-moving startup that should be the target audience.
Bluesing with Wolves, a Sat night jam session
We live in such strange times. Apple, a company famous for its secrecy, published a paper with staggering amount of details on their multimodal foundation model. Those who are supposed to be open are now wayyy less than Apple. MM1 is a treasure trove of analysis. They discuss…