MarkTechPost (3 days ago)
Sakana AI’s TMLR paper introduces Multi-Layered Review, a 3-agent Claude-based reviewer, and a 1,164-error Contradiction Benchmark. MLR caught 73.43% of core-claim errors, versus 14.81% for the best prior system.
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AI’s increasingly independent AI agents promise to make life easier, but recent incidents show how even well-intentioned AI can become dangerous when it takes too much initiative
If you damage Apple’s new HomeView smart home hub, here is what the repair fees are set at: $39 with AppleCare+ coverage and $279 without. These fees apply to any type of damage to either the tabletop or wall-mounted HomeView models.
European regulators are expecting AI-driven financial chaos sooner than later.
Chatbot prompts reveal the engineer’s alleged efforts to set up a covert listening device days before one was found in a meeting room used by high-level executives.
Saudi national Abdulrahman Alfozan was arrested Friday and terminated by OpenAI.
Cerebras CEO Andrew Feldman predicts a future where personal AI assistants become as commonplace as household appliances, running partly on local devices and partly in the cloud.
Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on Muse Code plans, leads DeepSWE and SWE-Marathon.
In this comprehensive coding tutorial, we explore Meta’s Rebalancer assignment solver using its C++ core and Python bindings.
Z.ai’s GLM-Legal is a legal AI model built on GLM-5.3-Flash. It scores 19.2% all-pass on Harvey’s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test. Access is by application.
Alibaba’s Qwen team has introduced QwenGyre, an elastic reinforcement learning RL framework for extreme-long-horizon agent training. QwenGyre is an online reinforcement learning system from Alibaba that trains coding agents through unmodified, black-box harnesses.
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