22 years ago today Tor was launched by MIT students for anonymous communications: https://
bit.ly/4e4maef #cshistory
RESEARCH
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Tor Anonymous Communications Platform Launched 22 Years Ago Today
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Stanford paper reveals Chain of Thought unlocks sequential tasks.
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Stanford paper might be the key to OpenAI o1’s performance: What’s so effective about Chain of Thought? ⇒ it unlocks radically different sequential tasks! Reminder: A Chain of Thought (CoT) means that you instruct the model to “think step by step”. Often it’s literally
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AI Decision-Making: Why Human Oversight Remains Essential
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AI Isn’t Ready to Make Unsupervised Decisions – And Here’s Why #ArtificialIntelligence has made incredible strides in decision-making, but can we trust it to make #ethical, #moral, or #empathetic decisions without human oversight? In a thought-provoking article from
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Clarifying tokenization’s role in LLM inference
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I fully concede tokenization causes important problems and an LLM trained without them would be more interesting than this thread. I’m only disproving a specific (but common I think) misunderstanding of its role in inference that does predict against these observations, namely:
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Training Language Models to Self-Correct via Reinforcement Learning
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Training Language Models to Self-Correct via Reinforcement Learning discuss: https://
huggingface.co/papers/2409.12
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… Self-correction is a highly desirable capability of large language models (LLMs), yet it has consistently been found to be largely ineffective in modern LLMs. Existing -
Incentives Cannot Drive AI Mathematical Reasoning Capabilities
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Great talk by @hwchung27. I really like the interesting analogies here (he's great at that!).
— Yi Tay (@YiTayML) 20 septembre 2024
My favourite one is "no amount of bananas will incentivize monkeys to do mathematical reasoning" 🤣 https://t.co/M0iJssLaddGreat talk by @hwchung27
. I really like the interesting analogies here (he's great at that!). My favourite one is "no amount of bananas will incentivize monkeys to do mathematical reasoning" -
Nostalgic reflections on manual gradient implementation in MATLAB
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haha. i have fond memories of writing my own gradients by hand in matlab in 2009.
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Convolutions replaced by code transformation techniques
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Convolutions are out with the code transformation?
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Stanford AI Research Talk Slides from Google Researcher
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I can't find the video anymore either. Strange. Slides are here: https://
research.google.com/people/jeff/st
anford-295-talk.pdf
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Oryx MLLM: Spatial-Temporal Understanding at Arbitrary Resolution
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Oryx MLLM On-Demand Spatial-Temporal Understanding at Arbitrary Resolution discuss: https://
huggingface.co/papers/2409.12
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… Visual data comes in various forms, ranging from small icons of just a few pixels to long videos spanning hours. Existing multi-modal LLMs usually standardize these