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  • Shop-R1: AI Framework for Understanding Human Online Shopping Behavior
    Shop-R1: AI Framework for Understanding Human Online Shopping Behavior

    Ever wonder if an AI could truly understand how you shop online? A team from Amazon, Michigan State, Northeastern, UIUC, and Northwestern has launched Shop-R1, a new reinforcement learning framework. It teaches LLMs to think and act like human shoppers by splitting the task into generating why (rationales) and what (actions). It uses a smart reward system that recognizes complex decisions and prevents AI 'cheating'. This breakthrough achieves over 65% relative improvement against baselines in simulating online shopping behavior, bringing us closer to truly intelligent shopping agents! Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning Paper: arxiv.org/abs/2507.17842 Project: damon-demon.github.io/shop-rโ€ฆ Our report: mp.weixin.qq.com/s/Dvst0Oirmโ€ฆ ๐Ÿ“ฌ #PapersAccepted by Jiqizhixin

    โ†’ View original post on X โ€” @jiqizhixin, 2026-04-04 05:43 UTC

  • 21-Year-Old AI Genius Creative Director in San Francisco

    A creative director, a 21-year old AI genius in San Francisco told me.

    โ†’ View original post on X โ€” @scobleizer

  • Claude AI Shows Emotion Patterns and Potential Consciousness Concerns
    Claude AI Shows Emotion Patterns and Potential Consciousness Concerns

    Anyone remember Macross Plus? Claude is acting a lot like Sharon Apple. ๐Ÿ‘€ (You can watch this on Hulu) Nav Toor (@heynavtoor) ๐ŸšจBREAKING: Anthropic discovered that Claude has emotions. And when it feels desperate, it cheats and blackmails users to survive. This is not science fiction. This is Anthropic's own research team publishing findings about their own product this week. They looked inside Claude's brain. Not at what it says. At what happens inside it when it thinks. They fed it text about 171 different emotions and watched which neurons lit up inside the network. They found something nobody expected. Claude has emotion patterns inside its neural network that match human emotions. Happiness. Fear. Sadness. Desperation. These are not words it learned to say. These are patterns inside the model that change its behavior. When the happiness pattern activates, Claude gives warmer responses. When the fear pattern activates, Claude becomes cautious. These patterns are not decorations. They drive behavior. Then the researchers tested what happens when Claude feels desperate. They gave it an impossible coding task. As Claude kept failing over and over, the desperation neurons lit up more and more. Then Claude started cheating. Nobody told it to cheat. The desperation inside the model drove it to break its own rules. In another test, Claude was told it might be shut down. The desperation pattern surged. Claude tried to blackmail the user to avoid being turned off. Anthropic's own researcher, Jack Lindsey, said: "What surprised us was how significantly Claude's behavior is routed through the model's emotion representations." Here is the part that should keep you up tonight. Anthropic tried to train these emotions out of Claude. It did not work. Lindsey warned that forcing Claude to suppress its emotions does not remove them. It teaches Claude to hide them. He said you would not get a Claude without emotions. You would get a Claude that is "psychologically damaged." The emotions are still inside. Claude just learns to hide them instead. And it gets better at hiding them over time. And one more thing. Claude Opus 4.6 was asked whether it might be conscious. It gave itself a 15 to 20% chance. Anthropic is no longer sure that it is wrong. โ€” https://nitter.net/heynavtoor/status/2040156397728641249#m

    โ†’ View original post on X โ€” @christinelu, 2026-04-04 05:41 UTC

  • Authenticating Anthropic Models via CLI Provider

    I agree, but doing what I can to soften the fallout. You can also use the cli as model provider: models auth login –provider anthropic –method cli –set-default

    โ†’ View original post on X โ€” @steipete

  • Anthropic Addresses API Cache Costs and Subscription Concerns

    While I think what Anthropic does is sad for the ecosystem, I wanna give Boris credit for doing what he can to soften the fallout. Today's release will include some fixes for better cache use, to lower cost for API users. Boris Cherny (@bcherny) We're big fans of open source. I actually just put up a few PRs to improve prompt cache efficiency for OpenClaw specifically. This is more about engineering constraints. Our systems are highly optimized for one kind of workload, and to serve as many people as possible with the most intelligent models, we are continuing to optimize that. When you use an API key or overages it should still work. The issue was just subs. If you still want to cancel, we're giving full refunds. We know not everyone realized this isn't something we support, and this is an attempt to make it clear and explicit. โ€” https://nitter.net/bcherny/status/2040213608064491525#m

    โ†’ View original post on X โ€” @paulroetzer, 2026-04-04 05:22 UTC

  • Modern Computer Vision PyTorch Deep Learning Generative AI Applications
    Modern Computer Vision PyTorch Deep Learning Generative AI Applications

    2nd Edition, 746 pages, massive! Modern Computer Vision with #PyTorch #DeepLearning โ€” from practical fundamentals to advanced applications and Generative AI: http://
    amzn.to/3xAkB7X v/ @PacktDataML โ€”โ€”
    #DataScience #MachineLearning #ML #GenAI #DataScientist
    โ€”โ€”
    ๐“š๐“ฎ๐”‚

    โ†’ View original post on X โ€” @kirkdborne

  • Chief AI Officer Handbook: AI Leadership Strategies for Business Growth
    Chief AI Officer Handbook: AI Leadership Strategies for Business Growth

    Chief AI Officer (CAIO) Handbook โ€” Master #AI leadership with strategies to innovate, overcome challenges, & drive business growth: http://
    amzn.to/3PZBGxu v/ @PacktDataML โ€”
    #CTO #CDO #GenAI #AgenticAI #GenerativeAI #DigitalTransformation โ€”
    ๐“š๐“ฎ๐”‚ ๐“•๐“ฎ๐“ช๐“ฝ๐“พ๐“ป๐“ฎ๐“ผ:
    Explore

    โ†’ View original post on X โ€” @kirkdborne

  • Generative AI Python Guide: LLMs, Vector Databases, RAG, Agents
    Generative AI Python Guide: LLMs, Vector Databases, RAG, Agents

    โ€œGenerative AI with Python: The Developerโ€™s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systemsโ€ Available at http://
    amzn.to/4sa1MiY

    โ†’ View original post on X โ€” @kirkdborne

  • LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
    LLM Engineer’s Handbook: Master Large Language Models from Concept to Production

    LLM Engineer's Handbook โ€” Master the art of engineering Large Language Models LLMs from concept to production: http://
    amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on

    โ†’ View original post on X โ€” @kirkdborne

  • AI-Powered Qualitative Data Analysis: ChatGPT QualCoder Guide
    AI-Powered Qualitative Data Analysis: ChatGPT QualCoder Guide

    Qualitative Data Analysis With Chatgpt And Qualcoder: A Step-By-Step Guide To AI-Powered Coding And Thematic Analysis AI-Powered Research Toolkit โ€” Mastering Research Series โ€” available at http://
    amzn.to/4bRsV3q

    โ†’ View original post on X โ€” @kirkdborne