Sorry you’re running into friction, Stefan! Can you please DM me your org ID (and any ticket #) and I’ll nudge the team to make sure you get the verification sorted. Can’t wait to see what you build with o4-mini!
LLMS
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Collaborative Reasoner: Framework for Social Agents and Human Partnership
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Introducing Collaborative Reasoner: a framework to improve collaborative reasoning in language models.
— AI at Meta (@AIatMeta) 12 mai 2025
Collaborative Reasoner paves the way for developing social agents that can partner with humans and other agents.
Read the research paper and download the code.… pic.twitter.com/btqd8RKcidIntroducing Collaborative Reasoner: a framework to improve collaborative reasoning in language models.
Collaborative Reasoner paves the way for developing social agents that can partner with humans and other agents. Read the research paper and download the code. -
Meta Releases 8B Dynamic Byte Latent Transformer Model Weights
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We’re releasing model weights for our 8B- parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability.
— AI at Meta (@AIatMeta) 12 mai 2025
Learn more about how Dynamic Byte Latent… pic.twitter.com/1XUtTpq95SWe’re releasing model weights for our 8B- parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. Learn more about how Dynamic Byte Latent
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Best AI Benchmark: Beyond Standard Arenas
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Oubliez LM ARENA, aime 2025, et compagnie.
— VISION IA (@vision_ia) 12 mai 2025
Le meilleur benchmark pour tester une IA, c'est ça : pic.twitter.com/eLROfRRtBTOubliez LM ARENA, aime 2025, et compagnie. Le meilleur benchmark pour tester une IA, c'est ça :
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AI Model Performance Gap Narrows to 0.7% in 2025
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The frontier of AI development is increasingly crowded and competitive, with performance gaps shrinking rapidly. According to the #AIIndex2025, only 0.7% separates the top-performing model from the 10th-ranked model. Check out more AI data and takeaways: https://
stanford.io/434y597 -
Reasoning Tokens for Search and Information Retrieval
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Reasoning Tokens Not for Needles, but for Haystacks
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Summarizing books efficiently using Gemini 2.5 Pro
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I just summarized a 280-page book with Gemini 2.5 Pro in 4 minutes.
— God of Prompt (@godofprompt) 12 mai 2025
Without losing a single concept or definition.
Prompt 👇https://t.co/ypNeMxyQCe https://t.co/hdZQY0jOU7 pic.twitter.com/yv7H3MqJpdI just summarized a 280-page book with Gemini 2.5 Pro in 4 minutes. Without losing a single concept or definition. Prompt https://
x.com/godofprompt/st
atus/1921929578404086037
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Gemini video demonstration output
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Gemini after I ran the prompt (video demo): pic.twitter.com/SzkUaUTTjS
— God of Prompt (@godofprompt) 12 mai 2025Gemini after I ran the prompt (video demo):
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Prompt Engineering for Analytical LLM Summarization
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2/ Quick follow up prompt: "Now provide me a short summary of all the key concepts in a concise bullet point list format. Give a page reference for each bullet point. Perform this task step by step, analytically."
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Gemini 2.5 Prompt for Comprehensive Book Summarization
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Steal my Gemini 2.5 prompt to create comprehensive book summaries with perfect page references and key data extraction. ———————————-
ULTIMATE BOOK SUMMARIZER
———————————- You are an expert literary analyst with exceptional