AI policy & law

Democrats planning flood of AI bills when they take control of Congress

Tech stocks plunge on worries about AI and Democrats' midterm landslide

AI #193: Progress May Dramatically Accelerate

Anthropic is warning us. Its modified S-1 now says that ‘we may imminently meet our Responsible Scaling Policy’s definition of ‘dramatically accelerated progress attributable to AI.’ That is a highly scary sentence to have a company put in its S-1. This…

Turns Matter: Advancing Streaming Video RL via Turn-Level Credit

TurnWise improves streaming video understanding by assigning turn-level credit and balancing decision weights in group relative policy optimization.

Setting a new standard for responsible AI infrastructure

OpenAI introduces its National Community Compact and Compute Campus Policy Blueprint to protect local resources, create jobs, and guide responsible AI infrastructure development.

America turns on Trump’s tech cheerleaders

Silicon Valley elites and AI executives plot new political strategy after alliance with US president backfires in midterms

More than 1 Claude Ultra Plan?

The terms are unclear: no clause bans two accounts, but bans are reported, and switching accounts to get past a limit could count as bypassing protective measures. Unattended use on a subscription is already a grey…

mhfed/vn-law-check

Audit pháp lý website theo luật Việt Nam (BVDLCN 91/2025, TMĐT 122/2025, ANM 116/2025, AI 134/2025) cho Claude Code, Cursor, Copilot, Windsurf, Cline

Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems

Route Anything is a framework for dynamically selecting and coordinating specialized AI models and policies across diverse tasks to improve performance and efficiency.

How the Midterm Results Change AI

Parents Sue Google Over A.I. Safety Risks on School Chromebooks

A student made plans to end her life after chatting with Google’s artificial intelligence, a new lawsuit claims, amid mounting concerns about online harms to children.

[Paper] SpecOPD: Branch-Parallel On-Policy Distillation for Speculative Decoding - By Qwen

Speculative decoding (SD) accelerates large language model inference by reducing the sequential cost of token-by-token generation. Advanced SD methods reduce proposal cost with parallel drafters that predict entire…

AI bubble bursts, fifth plenum resolution, Singles’ Day

China’s stocks pared weekly gains and the benchmark 10-year bond hit a record low as the global artificial intelligence (AI) stock bubble burst following the US Democrats’ landslide win in midterm elections. The CSI 300 equity index fell 1.4 per cent,…

DreamX: Video Diffusion Model is a Universal Latent Action Learner

DreamX leverages a pretrained video diffusion model to learn compact, appearance-invariant latent actions that enable cross-embodiment transfer and efficient policy learning.

The Datacenter Backlash Goes Bipartisan: Next Week's Midterms and the 2028 Buildout

The 2027 datacenter boom is already being built, and next week’s midterms won’t stop it now. Roughly three-quarters of the 33.8 GW due across our top 20 states is already under construction, which is why we remain comfortable with the global +50 GW year we…

Potential Sciences, an AI startup building large-scale chemical data sets, secured backing from the UK's Sovereign AI Fund, as part of an eight-figure raise

Potential Sciences, a startup backed by the UK government, is betting that…

Speeding up planning decisions with AI

Google DeepMind and UK government work together to reduce planning assessment times

DeepMind Staff Challenge Lifetime Ban on Criticizing Google

Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training

A selective harness-rescue training method uses specialized sibling harnesses to replace failed reinforcement learning rollouts and transfer their benefits into a single policy that performs better under the original base harness.

Korea’s Stock Market Crashed $1 Trillion. What Does That Mean for the Global AI Race?

Richard Gray is an analyst who works for a foreign policy think tank in Washington, D.C. Since 2025, South Korea’s capital markets have vacillated from the world’s best-performing to shedding more than $1 trillion in market capitalization. This volatility is…

AI Data Center State Policy: 5 Levers, $17B Bet [2026]

Use decision models with Amazon Bedrock AgentCore Evaluations

Some of the questions you ask when evaluating an agent are narrow and repeatable. Did this response stay on policy? Is this tool call safe to approve? Does this answer match the retrieved context? Decision models answer exactly that kind of question. They…

Wall Street Peers Into Abyss of AI Trade as Midterms Expose Risk

TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing

TailSteer, a final-stage training framework, reduces cumulative visual drift in multi-turn editing by keeping early denoising dynamics close to the base model and learning tail-focused preservation corrections from on-policy rollouts, preserving pretrained generative and…

SLA: Scaling Spatial-Language-Action Model via Continual Pre-training

SLA is a spatial-language-action model that continually pre-trains and post-trains a pretrained VLA policy with spatial alignment to a frozen 3D perception model, using feature-dependent gates and probabilistic state dropout to improve spatial understanding across diverse robot…

Nvidia CEO called in by lawmakers over ties to alleged Chinese spy

Nvidia CEO Jensen Huang has been asked by three House Republican committee chairs to brief Congress behind closed doors about his reported ties to a woman accused of spying for China. Why it matters: The request escalates the scrutiny of the Nvidia CEO over…

Is Half of China’s AI Making Slop?

Zilan Qian is a research scholar at GovAI researching AI development and regulation in China. On October 21, the People’s Daily published a commentary titled “Turning ‘Gunpowder’ into ‘Fireworks’? Beware the Claim That China’s AI Has Gone Astray”…

Does the Democratic midterm victory spell the end of US AI data centre boom?

The sweeping midterm election victory by US Democrats has triggered warnings from analysts that an impending regulatory clampdown could derail the nation’s multi-trillion-dollar artificial intelligence data centre buildout. Wall Street forecasters slashed…

EmoReward: Self-Evolving Reward Calibration for Emotional Video Generation RL

Group Relative Policy Optimization (GRPO) has advanced generative model post-training in verifiable domains such as code and mathematics, but evaluating video quality, especially emotional expression, often depends on subjective aesthetics and has no uniquely correct target.…

Order-Only On-Policy Distillation

Order-only on-policy distillation trains students to match teacher token rankings rather than probabilities, improving reasoning performance without temperature tuning.

Lawsuit: Man introduced his wife to ChatGPT. She used it to plan his murder.

ChatGPT allegedly helped a North Carolina woman, Cheryl Gates, craft a “personalized plan” to poison her husband, James, after fueling her delusions that he planned to divorce her and leave her with nothing. A grand jury indicted Cheryl Gates on charges of…

Expanding our partnership with GSA to bring Claude to all levels of government

We are expanding our partnership with the General Services Administration (GSA) through a new agreement that gives government partners a 40% discount on Claude Enterprise, Claude for Government, and the Claude API.

Why South Korea’s chip giants could face greater AI regulation risk

On the Generalization Limitation of On-Policy Distillation for Post-RL Consolidation

Multi-teacher on-policy distillation (MOPD) extends on-policy distillation (OPD) to consolidate capabilities from multiple teachers. Although prior work reports near-perfect in-distribution (IND) distillation performance, we find that this can mask incomplete capability…

History Forcing: Distilling History-Dependent Continuations for Long-Horizon Video World Models

History Forcing improves long-range consistency in few-step autoregressive video generation by using historical context residuals to correct distillation targets.

NY Gov. Hochul signs major chatbot safety law