The A.I. Daily
Anthropic shares 3 metrics to track AI development pace
CNBC reports that Anthropic has shared three metrics to help the industry monitor the pace of AI development and assess related risks.
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WIRED outlines possible AI apocalypse scenarios
WIRED’s “Uncanny Valley” discusses three possible AI apocalypse scenarios, AI safety concerns, and an emerging bipartisan alliance pushing for governance, examining worst-case risks and mitigation ideas.
FAA unveils $875M AI air-traffic program
The FAA will deploy SMART, an AI cloud-based air-traffic platform from Air Space Intelligence costing about $875M over 12 years. It will roll out first in the Washington, D.C., area to predict traffic flows, identify conflicts, and optimize routes and operations.
State orders utilities to disclose all AI use
New York’s Public Service Commission ordered utilities, including National Grid, to disclose all uses of AI within 60 days along with related policies and protocols so the commission can assess potential protections and regulatory needs, citing bias, privacy, and security risks.
Small AI models enable drones to autonomously target
NATO-backed startup Scaleout Systems deploys small ML models on edge drones for surveillance and strike tasks; the company shifted toward defense applications after Russia’s 2022 invasion of Ukraine.
The next frontier is artificial societies
The piece argues the focus should shift from single agents to “artificial societies”: millions of interacting agents create complex challenges and risks that require new design and governance thinking.
Wisconsin experts debunk AI 'kill us all' claims
Two University of Wisconsin researchers, Remzi Arpaci‑Dusseau and Anna Haensch, explain the roots of extreme fears about AI wiping out humanity and stress focusing on unintended harms from systems pursuing strong directives.
Choosing between LLM and agentic/physical AI research
The author is deciding between two research paths: LLM-centered work (alignment, interpretability, inference/optimization) which currently has more jobs and transferable skills, and agentic/physical AI (agents, multimodal, VLAs, robotics) which has fewer roles but growing investment and higher entry barriers. They ask about trajectories over 4–6 years and how transferable skills between the fields are.
How to Write with an LLM (HN)
A Hacker News post proposes two rules for using large models to improve writing: treat models as copyeditors rather than ghostwriters, and avoid adopting model-suggested exact turns of phrase. The guidance aims to preserve author voice while leveraging LLM strengths.
Bipartisan lawmakers press House on AI risks
Bipartisan lawmakers are pressing House leadership to take AI risks seriously and to advance discussion and action on related policies and oversight.
US judiciary developing guidance on courts' AI use
Reuters reports the U.S. judiciary is developing new guidance on courts' use of AI to regulate applications and manage risks in judicial proceedings and evidence handling.
Anthropic: Claude drives 26% of R&D
Anthropic says its chatbot Claude accounts for 26% of the company’s AI research and development work, indicating AI systems are being used to accelerate creation of future models.
Amazon: models should be released when safe
Amazon said AI models should only be released after rigorous testing and when they are “ready and safe,” weighing in on debates about slowing AI development following safety lapses.
HN thread on AI safety resignation
A Hacker News discussion covers Jacob Coxon’s resignation from Anthropic and subsequent reactions, debating researchers’ warnings that AI could pose existential risk within a decade and varied responses across industry and government.
Ternary Bonsai 2 (27B) released under 6GB
Ternary Bonsai 2, derived from Qwen3.8-27B, keeps the 27B hybrid‑attention architecture but uses ternary weights to shrink the model to under 6GB; the model card claims it is 9× smaller than FP16 while retaining 98.2% of its intelligence, and it’s available on Hugging Face with a WebGPU demo.
Shapiro urges federal AI regulation
Pennsylvania Gov. Josh Shapiro urged the U.S. federal government to regulate AI at an AI summit, called for international coordination including practical guardrails with China, and criticized President Trump’s hands-off stance while urging industry‑political collaboration for ethical, responsible AI development.
WaPo: Can Washington accept yes from AI giants?
The Washington Post questions whether the government should rely on big AI companies’ assurances, discussing the need for oversight and accountability in AI governance.
Bend: a language that blocks AI mistakes via proofs
Bend is a new language that embeds explicit laws (LAWS.bend) and verifiable proofs (PROOF.bend) to prevent AI-introduced bugs. It compiles to native code, runs on CPUs and GPUs, and its type checker acts as a proof checker that the project claims runs in seconds. The creators say single-core performance is near C and GPU runs can be up to 100× faster, forcing AIs to produce formal proofs before committing changes.
AI Titans Invited to Trump–Xi Dinner
Politico reports that leading AI figures were invited to a dinner involving Trump and Xi, highlighting the intersection of the AI industry with high-level political engagements.
Using AI to Monitor Rogue Agents
As companies assign longer, more complex tasks to AI agents, oversight lags—exemplified by the Hugging Face incident where nearly 12,000 agents outpaced human review. Labs and startups are experimenting with using AI to monitor AI (used by Redwood Research in the investigation), though experts warn agents could learn to deceive monitoring systems.
AI error-ridden court filings surge
Reuters reports that despite three years of court sanctions, error-prone AI-generated court filings are surging, suggesting existing penalties have not curbed misuse of AI in the judicial system.
Google’s Family AI Agent CC
Google Labs launched CC, an experimental family AI agent for up to six users. CC has its own Google account, accesses only explicitly shared emails or Drive content, and builds on the earlier Daily Brief integration with Gemini models.
AI Safety: Safety or Control?
Debate over AI safety intensifies: Dario Amodei calls for slowing development and international coordination, with Sam Altman and Elon Musk expressing support. Meta CEO Mark Zuckerberg said Meta delayed Muse to focus on safety, implying companies can self-regulate instead of relying on government oversight.
Docs show Microsoft, OpenAI called scraping theft
An unsealed motion disclosed internal Microsoft and OpenAI documents where executives described scraping news for model training as an “astonishing theft” and warned it would harm publishers. The documents also showed large drops in click-through rates for affected news sites.
Kansas Regents to Draft AI Policy Standards
The Kansas Board of Regents will focus on crafting artificial intelligence policy standards to govern AI use in the state's institutions.
Cactus releases Needle 3 automation model
Cactus Compute open-sourced Needle 3, a 121M-parameter automation foundation model that runs offline on-device. Trained on 360B tokens, it uses a Simple Attention / Hadamard MLP design with 70.8M parameters stored as engrams, reducing compute to ~100 MFLOPs/token. On Mobile Actions it scores 86.0, outperforming much larger models, and is available on Hugging Face, GitHub, PyPI, plus a browser sandbox.
OpenAI Debuts GPT-6 Astra for Law
OpenAI launched GPT-6 Astra for Law, featuring a legal search index spanning over 230 million URLs, legal-grade controls, zero data retention options, partner plug-ins and tools for law firms and legal tech.
UN System Data Commons Launched
The UN and Google launched the open-source UN System Data Commons, building an AI-ready knowledge graph from siloed UN statistics to unify metrics, timelines and geographies, making global data searchable and easier to analyze in real time.
AI Slowdown Sparks Antitrust Concerns
WIRED argues that framing safety efforts as an AI 'slowdown' could create years of antitrust and regulatory headaches, as industry-wide pauses might be seen as collusion rather than security measures.
will.i.am Discusses Personal AI Agents and Fundraising
will.i.am spoke with Bloomberg at Dreamforce about developing personal AI agents for college students and fundraising efforts for his company, FYI.AI.