Marcin Osial @obsrvtrm
Joined May 2016-
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Visual-RFT and VisualThinker R1 Zero look promising for visual reasoning. What are your thoughts? arxiv.org/abs/2503.01785 arxiv.org/pdf/2503.05132
Self-supervised Learning with Masked Autoencoders (MAE) is known to produce worse image representations than Joint-Embedding approaches (e.g. DINO). In our new paper, we identify new reasons for why that is and point towards solutions: arxiv.org/abs/2412.03215 🧵
Check out our new paper! 🚀
90% of the people I know in web3 have pivoted their company to AI
Investors are eager to invest in AI companies. But some of the biggest winners from the AI revolution will be existing companies that weren't founded to do AI, but are perfectly poised to benefit from it, as e.g. Facebook was perfectly poised to benefit from smartphones.
Really striking how every AI hype tweet is explicitly trying to induce FOMO. "You're getting left behind. All your competitors are using this. Everyone else is making more money than you. Everyone else is more productive. If you're not using the latest XYZ you're missing out."
I see many folks in the replies asking for a definition of intelligence. Yes, it is 100% necessary to rigorously define intelligence before you can judge AGI progress or lack thereof. Here's the one I've been using: arxiv.org/abs/1911.01547 Under this definition, ~0 progress.
New excuse just dropped for companies doing layoffs: just say it's because "AI" has made you so much more productive that you don't need all these humans anymore. Investors will love it.
Noteworthy: a new study comparing #ChatGPT vs doctors for responding to patient queries demonstrated clearcut superiority of #AI for improved quality and empathy of responses @JAMAInternalMed jamanetwork.com/journals/jamai…
You can take almost all brain uploading sci-fi and ideas and change them from 20+ years away (maybe) to small few years away (very likely) just by replacing occurrences of "brain scanning" with "LLM finetuning", and fidelity from ~perfect to lossy.
You can take almost all brain uploading sci-fi and ideas and change them from 20+ years away (maybe) to small few years away (very likely) just by replacing occurrences of "brain scanning" with "LLM finetuning", and fidelity from ~perfect to lossy.
new research from OpenAI used gpt4 to label all 307,200 neurons in gpt2, labeling each with plain english descriptions of the role each neuron plays in the model. this opens up a new direction in explainability and alignment in AI, helping make models more explainable and…
Looking at the original GPT release from OpenAI is so funny
a mega influencer trained chatgpt4 on thousands of hours of her youtube content and is now selling access to it as a virtual gf for $1/ minute. she's already made over 70k in a week decrypt.co/139633/snapcha…
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