"Let ViT Speak: Generative Language-Image Pre-training" Instead of contrastive image-text matching or adding a separate text decoder, this paper, GenLIP, trains a ViT to directly predict caption tokens from image patches with a standard next-token loss. A key component they use
LLMS
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Free Machine Learning & AI Resources for X Subscribers
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The top 10 programming languages on GitHub over the past 2+ years. Notably, TypeScript has leaped to the top spot. v/
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AI Can Write Great Content, AlignedNews.com AI Demonstrates
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Awesome! I have the most complete lists of AI community here: https://
x.com/scobleizer/lis
ts
… And my AI watches everyone and picks the best here: https://
alignednews.com/ai Might help! -
Claude Generates Rig Keyframes and Timing for Animated Character
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8/ Animate a character from a prompt
— AI Highlight (@AIHighlight) 4 mai 2026
Breakdance routine for a monkey robot. Claude generates the rig, the keyframes, and the timing.https://t.co/L2B7JWYvYy8/ Animate a character from a prompt Breakdance routine for a monkey robot. Claude generates the rig, the keyframes, and the timing.
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Intelligence vs Consciousness: Critique of Dawkins on Claude AI
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intelligence ≠ consciousness. for a proper critique of what Dawkins actually got wrong: https://
open.substack.com/pub/garymarcus
/p/richard-dawkins-and-the-claude-delusion?r=8tdk6&utm_campaign=post-expanded-share&utm_medium=web
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Vector Search for Practitioners with Elastic for NLProc Solutions
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Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe v/ @PacktDataML What you will learn:
Optimize performance by harnessing the capabilities of vector search
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LLM Book for Database Developers and Data Scientists on Knowledge Graphs and Vector Search
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Available at http://
amzn.to/4l9lLKO This LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation systems. Working knowledge of Python and Java is -
Generative AI with Python: Developer’s Guide to LLMs, RAG, and Agentic Systems
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“Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems” Available at http://
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Meta FAIR Autodata: Agentic System Builds Training and Eval Data Autonomously
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Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autonomously. The headline result: on a CS research QA task, an Agentic Self-Instruct loop produces a 34-point gap between weak and strong
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User instruction on using Grok AI for text summarization
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New Redis data type just dropped – arrays, accessible by index, with a new text grep search mechanism