Study highlights potential use of artificial intelligence to aid in sepsis diagnosis, research
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MACHINE LEARNING
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AI Study Shows Promise for Improving Sepsis Diagnosis
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Papers With Code SOTA Returns with Gemini 3 AI Research
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Papers With Code SOTA is back 🚀
— alphaXiv (@askalphaxiv) 20 novembre 2025
We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more
Track the best-performing methods and see which benchmarks are getting adopted pic.twitter.com/9yKJXL35K7Papers With Code SOTA is back We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more Track the best-performing methods and see which benchmarks are getting adopted
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Free open-access edition of neuroevolution book now available
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We also made a free, open-access edition of the book: http://
neuroevolutionbook.com -
The computational cost challenge of large k values in pruning
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The only caveat: 32 is still crazy large. And if you use the k=100 before pruning, that's 100x more compute!
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Self-Consistency Outperforms Best-of-N Approaches in LLM Decoding
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I see! Thanks. I remember now. Not in that form, i.e., not directly (still running too many other experiments). But a few thoughts: 1. Self-consistency does seem to be still ahead of any best-of-N approach. This is based on my experience but also a recent paper I saw: 18 Apr
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AI automatically analyzes NVIDIA financials with visualizations and formulas
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Here's a real example.
— God of Prompt (@godofprompt) 20 novembre 2025
Connected to a live database, asked AI to analyze NVIDIA's financials, and got complete visualizations with working formulas all automatically.
No pivot tables.
No VLOOKUP nightmares.
Just results. pic.twitter.com/GKZ3XVGYlsHere's a real example. Connected to a live database, asked AI to analyze NVIDIA's financials, and got complete visualizations with working formulas all automatically. No pivot tables.
No VLOOKUP nightmares.
Just results. -
Chapter 4 on Inference-Time Scaling Now Available for Reading
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If you are looking for something to read this upcoming weekend, chapter 4 on inference-time scaling is available now! https://
mng.bz/Dwra -
Olmo 3: Open Language Model for Reasoning and Tool Use
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Announcing Olmo 3, a leading fully open LM suite built for reasoning, chat, & tool use, and an open model flow—not just the final weights, but the entire training journey. Best fully open 32B reasoning model & best 32B base model. 🧵
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Grok detective for finding customer pain points in tweets
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7. The "Pain Point" Detective Grok can read replies to find what people are complaining about now. Prompt: "Search for tweets containing the phrases 'I hate how', 'Why is it so hard to', and 'I wish there was a tool for' specifically related to [INSERT INDUSTRY, e.g.,
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Grok 4.1: Higher EQ Test and Personal Interview
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2. The "Emotional Rollercoaster" Story
— God of Prompt (@godofprompt) 20 novembre 2025
Grok 4.1 tests higher on EQ (Emotional Quotient) than previous models.
Prompt: "I have a personal story/lesson about [INSERT TOPIC, e.g., failing my first startup].
Please interview me. Ask me 5 probing questions, one by one, to get the… pic.twitter.com/RVpl2p1ByZ2. The "Emotional Rollercoaster" Story Grok 4.1 tests higher on EQ (Emotional Quotient) than previous models. Prompt: "I have a personal story/lesson about [INSERT TOPIC, e.g., failing my first startup]. Please interview me. Ask me 5 probing questions, one by one, to get the