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Show HN: A video editor where the LLM never watches the video
Most AI video editors work by feeding frames to a language model and hoping it picks good cut points. i-hate-editing takes the opposite approach: the LLM never sees the video. Audio drives every decision, scripts handle the mechan...
Show HN: How Pagecord Uses AI
A developer who builds a product called Pagecord using coding LLMs has published a public disclosure page detailing exactly how AI is involved in the product's development. The move came after receiving unexpected pushback on soci...
No Hacking Required: The Manchester Airports Group Data Breach
Manchester Airports Group disclosed on August 27, 2026 that an unauthorized third party had stolen customer data affecting roughly 8.8 million people. The breach covered car park bookings, lounge reservations, Fast Track purchases...
The function of LLM-based math "proofs"
The AI industry has been promoting language models that produce mathematical proofs as evidence of growing intelligence. A closer look at what these systems actually produce, and why the industry is investing in this particular us...
Ask HN: Are agent orchestrators an anti-pattern?
A question on Hacker News is pushing at a nerve in the AI agent community: are the orchestration layers that sit between language models and the tools they call actually making things worse, not better? What an agent orchestrator...
Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation
Zhou Yu, co-founder of Arklex AI and a professor at Columbia University, has a blunt assessment of the AI agent landscape: 95 percent of agents remain stuck in demo mode. They are impressive in controlled settings, but they cannot...
10-task GLM 5.3 harness bench: Claude, OpenCode, pi, zcode, Hermes and 3code
A developer running independent benchmarks on AI coding harnesses has published results that show wide disparities in how different tools use tokens to solve the same problems. The test, conducted on GLM 5.3 using ten SWE-bench ve...
Speculative Decoding in vLLM on AMD GPUs
vLLM has added support for speculative decoding on AMD GPUs, a technique that lets the serving system verify multiple drafted tokens in a single pass through the target model. The feature works across five different drafting metho...
Chess5.ai – Play Chess, Go, Xiangqi, Gomoku, and Othello Against LLMs
A new open-source project puts language models to the test across five classic board games, pitting them against humans and each other to measure something that benchmarks cannot capture: how well a model actually plays when it ha...
Moral Competence Before Moral Content: Why LLM Agents Lack the Prerequisites
A new research paper argues that alignment, the project of making AI systems behave according to human values, is currently aimed at the wrong problem. Before asking whether language models share the right values, the paper conten...