MACHINE LEARNING

→ View original post on X — @miketamir

FinRobot: AI Agent for Equity Research and Valuation

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@miketamir

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01 February 2025 3h06

FinRobot: AI Agent for Equity Research and Valuation with Large Language Models https://
bit.ly/3AY2daK
#AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @hardmaru

DeepSeek’s approach attributed to Schmidhuber’s prior work

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@hardmaru

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01 February 2025 1h48

“DeepSeek? Schmidhuber did it first.” https://
old.reddit.com/r/MachineLearn
ing/comments/1ielwh5/d_deepseek_schmidhuber_did_it_first/
…

o3-mini beats R1 and o1 on Humanity’s Last Exam

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01 February 2025 1h39

o3-mini beats R1 and o1 on Humanity’s Last Exam (big asterisk for the latter, though; problems selected to be hard for existing LLMs)

o3-mini-high responses show Shinji, Asuka mention counts

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01 February 2025 1h09

n=1 per model above but to verify for this post I generated 5 more responses from o3-mini-high, yielding from each only 4-7 mentions of Shinji, 0-4 mentions of Asuka, and 0 total mentions of Rei, Misato, and Gendo.

Word counts and character mentions in AI responses to End of Evangelion

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01 February 2025 1h09

Word count and character name mentions for responses (n=1 per model) to the prompt "Explain End of Evangelion" for ChatGPT o3-mini-high, o1, and o1 pro

Plot testing o3-mini’s world knowledge degradation compared to o1

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01 February 2025 1h09

I made this plot as a quick vibe test for how "mini" o3-mini's world knowledge is. You can make small heuristic evals for domains you care about to see how much o3-mini's degradation vs. o1 matters to you — also, to measure your progress prompting back to parity.

→ View original post on X — @terence_mills

Maximizing AI Value in Defense Applications

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@terence_mills

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01 February 2025 1h00

Getting The Best Value From AI In Defense
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn