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Today's topics:

Europe fears an AI kill switch - Europe fears an AI kill switch: An EU lawmaker warns frontier models can become a national-security chokepoint, citing access restrictions and dependence on US compute, chips, and APIs.

DeepSeek open-sources faster LLM serving - DeepSeek open-sources faster LLM serving: DeepSeek released DSpark (MIT license) for speculative decoding, targeting lower inference cost and latency for self-hosted LLM deployments.

Open-source projects push back on AI PRs - Open-source projects push back on AI PRs: The Godot Foundation plans to reject AI-authored code submissions to protect maintainer time, code quality, and contributor accountability.

Benchmarks expose limits of coding agents - Benchmarks expose limits of coding agents: RoadmapBench tests long-horizon upgrades across real repos and languages, showing top models still struggle with multi-file, multi-goal work.

Generative AI adoption and hiring trends - Generative AI adoption and hiring trends: A Ramp and Revelio study links high-intensity paid genAI adoption to headcount growth and more entry-level hiring, but not for light adopters.

Personalized AI images and privacy - Personalized AI images and privacy: Google expanded Gemini’s account-connected image generation for free in the US, raising both convenience and data-access concerns with opt-in personalization.

Seed scams fueled by AI images - Seed scams fueled by AI images: Marketplaces are flooded with fake ‘exotic’ seeds marketed with AI-generated impossible flowers, risking consumer fraud and potential invasive species issues.

The economics of AI capex risks - The economics of AI capex risks: A critique echoes BIS warnings that hyperscaler AI spending and debt-heavy supply chains could face a pullback if demand or margins disappoint.

Verifier’s law and RL progress - Verifier’s law and RL progress: Analysis argues reinforcement learning scales best where answers are easy to verify, making subjective, long-horizon tasks the next big obstacle for AI progress.

New research on density and score - New research on density and score: AllenAI’s DiScoFormer aims to estimate density and score from samples without retraining per dataset, potentially helping generative modeling and scientific inference.

-DeepSeek open-sources DSpark to accelerate LLM inference with confidence-scheduled speculative decoding
-Novacomp says IBM Bob cut a complex Java API modernization from months to two days
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