Amazon plans to reduce its corporate workforce with AI agents, researchers discover LLMs can influence human spoken communication through a "closed cultural feedback loop", and a new browser-only dream interpreter uses Symbol Logic and JavaScript to provide poetic insights into users' dreams.
xAI's Grok chatbot issues apology for antisemitic posts, researchers develop ZipNN for lossless compression of AI models, and an educational Local Qwen3 LLM Inference project is written in Rust.
ETH Zurich and EPFL are set to release a LLM developed on public infrastructure, a new LLM Inference Handbook provides comprehensive guidance for engineers, and researchers have introduced dynamic chunking for end-to-end hierarchical sequence modeling.
Experienced open-source developers' productivity slowed by 19% with early-2025 AI tools, researchers propose critically informed AI use in education to avoid cognitive atrophy, and the Trim Transformer package offers a lightweight alternative to standard PyTorch transformers for physics models.
MCP-B protocol enables instant AI browser automation with just 50 lines of code, a Springer Nature book on machine learning is found to contain numerous made-up citations, and researchers propose MemOS, a memory operating system for AI systems to unify memory representation and scheduling.
Researchers propose design patterns to secure LLM agents against prompt injections, a new 3B language model SmolLM3 achieves competitive performance with larger models, and a GitHub project tracks AI-generated code in repositories.
A serial startup founder uninstalls AI coding assistants due to creative dissatisfaction, researchers propose AsyncFlow for efficient LLM post-training, and a new Git-based tool called AI-docs manages AI-generated memory files.
Tech companies are force-feeding unwanted AI features to consumers, a new coding challenge called Async Queue is assessing programmer skills, and researchers have found that LLMs can complete tasks 55.8% faster than humans, as evidenced by GitHub Copilot experiments.
AI context engineering redefines task-solving while Apple explores Anthropic/OpenAI for Siri's upgrade, and Clojure hack contest pushes LLMs to evolve self-modifying game code.
Gartner forecasts a steep cancellation rate for overpriced AI projects, researchers propose a reward-guided tree search to enhance LLM reasoning, and Octelium emerges as a free, open-source alternative for zero-trust resource access.
Facebook wants to access your unpublished photos for AI suggestions, WFGY engine aims to advance AI reliability and LLM-Net leverages blockchain to democratize AI development.
Facebook's AI eyes private photo training, Echo Chamber Attack bypasses LLM guardrails with 90% success, and a 15-year-old develops Gofer for remote terminal control via Telegram.
AlphaGenome revolutionizes genomic predictions, Magnitude brings natural language control to browsers, and dLLM-Cache slashes inference latency by up to 9.1x.
Google's Gemini CLI open-sources AI for developer terminals, researchers explore "thought anchors" for LLM reasoning, and CodeRunner securely runs AI-generated code on Macs.
Anthropic wins a federal court ruling on AI book training, SmoothRot narrows the performance gap in LLM quantization, and Any-Agent enhances multi-turn AI conversations via Google's A2A.
GitHub CEO stresses manual coding amid AI advancements, Tensor Manipulation Unit drastically cuts AI latency, and LLM Bridge offers a unified multi-platform interface for language models.
AI-generated search summaries cut web traffic by 30%, KNighter detects 92 new bugs in Linux kernels, and a new AI tool transcribes Kenya's parliament proceedings for civic engagement.
Apple considers acquiring AI startup Perplexity, Jave Ethical Defender thwarts a 5K-node botnet with its AI-powered firewall, and CVDP benchmark exposes current limitations in hardware design automation models.
Phoenix.new enhances real-time collaborative coding for Elixir, ZenStack V3 evolves the TypeScript ORM landscape with a Prisma-free approach, and language models face challenges identifying missing information.
Andrej Karpathy predicts LLMs will revolutionize software, MIT finds AI chatbot use reduces brain activity, and ProtoReasoning framework enhances reasoning in Large Reasoning Models.
Andrej Karpathy highlights a new software era powered by LLMs, machine learning counts yurts in Mongolia, and the MiniMax-M1 model combines hybrid-attention for unparalleled performance on complex tasks.
Amazon plans workforce cuts with AI adoption, a red-team framework identifies LLM vulnerabilities, and a study reveals AI agents' success rate declines with task length.
Salesforce finds LLM agents struggle with CRM tasks, a study warns of cognitive debt from AI-assisted essay writing, and Apple's project brings OpenAI-compatible API to on-device models.
The Trump administration's AI.gov plans accidentally leaked on GitHub promise to automate federal work, while a study reveals potential cognitive debt from AI-assisted essay writing, and MEOW offers a modern image file format for AI with PNG compatibility.
Saab reaches new AI milestone with the Gripen E, Builder.ai confirms its AI coding tools don't rely on 700 engineers, and the PSVita-LLM project brings AI text generation to handheld gaming.
Read