@geoffreyhinton has talked about how the small group of believers would coordinate strategy; which conferences to target, how to frame results, how to keep the research program alive when the mainstream community considered DL a dead end.
RESEARCH
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Neural Net Pioneers’ Fight for Recognition and Credit
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They "don't spend time worrying about this kind of credit" because, nowadays, they don't need to. There was a time things were v different, and neural net pioneers had to really fight to get any appreciation.
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Top AI News: White House, Gemini, Perplexity, OpenAI, and New Tools
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I took it down since submissions closed
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Mind Meld Bottleneck: Knowledge Gap Between Humans and LLMs
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Banger tweet, i think about it often because i feel it becoming a bottleneck. what's in my brain is "private" information for the LLM – it doesn't know what I know or don't know and I don't know what I don't know… The mind meld is only medium effective.
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Aethero’s Phobos satellite launches with adaptive event detection
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Proud to announce that Phobos, the second @AetheroSpace satellite, was successfully launched to orbit earlier this morning
— Edward (@somefoundersalt) 31 mars 2026
We’re partnered with @BoozAllen on this mission to demonstrate capabilities for adaptive event detection using high-fidelity Earth observation data… pic.twitter.com/KIoiyUFuYxProud to announce that Phobos, the second @AetheroSpace satellite, was successfully launched to orbit earlier this morning We’re partnered with @BoozAllen on this mission to demonstrate capabilities for adaptive event detection using high-fidelity Earth observation data collected on orbit This will enable satellites to achieve faster, smarter, decision-making on orbit, and is a major step towards building the orbital intelligence layer for defense needs!
→ View original post on X — @bobgourley, 2026-03-31 01:19 UTC
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New Tools for Understanding AI and Learning Outcomes
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New tools for understanding AI and learning outcomes buff.ly/xA3IUgB #AI #MachineLearning #DeepLearning #LLMs #DataScience
→ View original post on X — @miketamir, 2026-03-31 00:58 UTC
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Google Beyond Models: The Broader Tech Ecosystem
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Google is more than just the models…just saying.
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Structured AI reasoning over raw scale
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The takeaway for builders:
The future of reliable AI isn’t just bigger parameters. It’s giving models structured, verifiable environments to reason in. Typed control flow > open-ended code generation. Paper: http://
arxiv.org/abs/2603.20105
Code: http://
github.com/lambda-calculu
s-LLM/lambda-RLM
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Optimize AI inference with smaller models
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You’re probably overpaying for AI inference. Researchers just proved a small model with the right scaffolding crushes a model 50x its size on long-context tasks. Read this thread and you’ll know how to get better results with fewer resources:
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AI Systems Still Struggling With Basic Visual Tasks
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amazing. i was giving examples like this for DALL-E three years ago. systems are still struggling with some basics.