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Human Feedback Foundation
@HumanFeedbackIO
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Human Feedback Foundation is a Linux Foundation AI & Data nonprofit focused on human feedback and input layer for open source AI.
Toronto, Canada
Joined January 2024
🚀AI builders unite! Join AI Tinkerers Toronto at Google HQ for a 6-min demos of cutting-edge AI projects. No pitches, no pitchdecks, just good old-fashioned demos, messy work in progress, and live code - our first event of 2025! cc @AITinkerers
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Richard Sutton in conversation with @professor_ajay and others taking the DeepSeek moment apart -- the discussion that feels more important than ever in the current context of reframing what "AI safety" means
@RichardSSutton @professor_ajay The link has a typo that makes it fail to play in Chrome, here's the correct link:
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RT @MikeBirdTech: I'm already so excited for all the people who are gonna be there! Don't miss out, the more the merrier
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RT @MikeBirdTech: Toronto! Let's learn about evals from @weights_biases Can't wait to see you and catch up @AITinkerers @HumanFeedback…
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RT @CDNAffairs: @CFIB Elena Yunusov, @communicable , is executive director of @HumanFeedbackIO , a networking non-profit for professionals…
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RT @natolambert: Made a list of resources for open source language models with @soldni ahead of the tutorial tomorrow at 930 AM. https://t…
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RT @psychosort: ✨🚨: Today, the US House of Representatives released a highly-anticipated report on AI policy with fantastics steps towards…
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RT @natolambert: OpenAI skips o2, previews o3 scores, and they're truly crazy. Huge progress on the few benchmarks we think are truly hard…
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RT @natolambert: o3 does not use different training nor inference methods than o1 (at least in pro mode). No special "search". OpenAI jus…
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Lots was said about this incident at NeurIPS. It highlights the importance of keeping people in the loop in AI systems we build, and striving for diverse views and better representativeness. Unconcious bias can be a slippery slope.
1/3 Today, an anecdote shared by an invited speaker at #NeurIPS2024 left many Chinese scholars, myself included, feeling uncomfortable. As a community, I believe we should take a moment to reflect on why such remarks in public discourse can be offensive and harmful.
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@Prolific It was a fantastic event. Great to see the depth of thinking around human feedback and future research directions!
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RT @Prolific: We held our annual Prolificon last week to celebrate milestones and round off an incredible year 🎊 During the meet, we heard…
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RT @singhshiviii: Today, we’re excited to share Global-MMLU 🌍: a multilingual LLM benchmark covering MMLU translations in 42 languages -- c…
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RT @karpathy: Example when you ask eg “top 10 sights in Amsterdam” or something, some hired data labeler probably saw a similar question at…
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RT @karpathy: People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically…
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