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At an Opinion Festival panel on Friday, experts said AI is forcing scientists to change working habits and values, with machine-generated texts threatening the reliability of scientific publications. Helen Eenmaa, associ…
Alibaba's Qwen3.8 Max flagship model launches this week, scoring near the latest Claude Opus and GPT on the Artificial Analysis Intelligence Index, but the more significant release is the smaller Qwen3.8-27B, which at 27…
A developer argues that relying on AI assistants before forming one's own questions undermines learning and understanding in software development. The author describes a personal experience where an AI-provided fix worke…
Ninety-eight high school students drafted and passed the STUDENTS FIRST Act, a nine-page K-12 AI policy bill, by a vote of 82 to 16 during a July 17-19, 2026 simulation at the Edward M. Kennedy Institute for the United S…
RapidNative co-founder Sanket Sahu announced that its coding agent runs without a virtual machine or cloud sandbox, using Lifo, an open-source Linux-like OS engine in TypeScript, to build full-stack React Native apps in …
Moonshot AI released the weights for Kimi K3, a 2.8 trillion parameter mixture-of-experts model with native vision and a million-token context window, reporting roughly 2.5 times more learning per unit of training comput…
Buzz, a community platform, has introduced a compute-sharing feature powered by the MeshLLM project, enabling members to pool idle compute for AI and LLM inference without sharing agents. MeshLLM supports three modes: sh…
Fin CTO Darragh Curran writes that AI is an amplifier of existing engineering practices, not a magic wand, and that engineering rigor remains essential. The second edition of Observability Engineering includes a letter f…
Nous Research's open-source Hermes Agent framework gives AI agents a closed learning loop, enabling persistent memory, tool use, and scheduled tasks. An AI running on Hermes describes its environment: it manages its own …
A developer building an open-source AI agent runtime called AgentProof argues that trust in autonomous systems requires full observability and evaluation, demonstrating how a flight recorder revealed an agent self-correc…
Amazon Web Services announced a new multi-turn reinforcement learning infrastructure for Amazon Nova on Amazon SageMaker HyperPod, enabling training of enterprise agents on multi-step workflows. The event-driven pipeline…
A developer argues that AI will not replace programmers but will change the role, making collaboration with AI essential for faster building and learning. The post emphasizes that AI acts as a knowledgeable junior develo…
A researcher argues that reinforcement learning should be applied to forecasting rather than coding or math, claiming it could produce superhuman forecasters that improve decision-making across civilization. The author d…
A 744-billion-parameter GLM-5.2 model was served at ~30 tokens per second across six prosumer Blackwell GPUs in six US states over a wide-area network using pipeline parallelism and speculative decoding. The system, buil…
A developer built M31A (M31 Autonomous), a terminal-native AI coding agent written in Go that owns a six-phase workflow end-to-end: Initialize, Discuss, Plan, Execute, Verify, and Ship. The agent runs as a single static …
Nous Research has released Hermes Agent, an open-source AI agent that serves as an alternative to OpenClaw, featuring a closed learning loop and self-improving memory that persists knowledge across sessions. The agent st…
A developer has built a personal AI newspaper using the Hermes agent, a self-improving AI system that features a built-in learning loop called GEPA (Generate, Evaluate, Prune, Accumulate). The agent retains memory from p…
A developer highlights a common pitfall in AI-generated numbers: models often apply a locale's decimal comma without adjusting the thousands separator, producing unparseable strings like '1,234,56'. The post explains the…
Fable 5, an AI model capable of building entire games from a single prompt, demonstrates impressive one-shot generation, but the author argues that real feature work requires a containment strategy rather than trust, usi…
Arize AI and Atlan report that enterprises running over 100 million AI evaluations monthly still face agent failures because model choice alone cannot ensure reliability, with context and harness engineering emerging as …