·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Data centers expected to use 4x more electricity by 20351h◆Google releases three new Gemini models — but no 3.5 Pro2h◆Introducing the ChatGPT for small business program2h◆Anthropic’s $1.5 billion book piracy settlement approved by judge2h◆US threatens sanctions against Chinese AI models over IP theft3h◆Google launches a cheaper alternative to large AI security models like Mythos4h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated6h◆Halliday’s latest smart glasses feature a much-improved display6h◆America needs to stop getting shocked by Chinese AI8h◆Advancing next-gen AI with materials science innovation8h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else9h◆Capacity and Redundancy Trade-offs in Multi-Task Learning15h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation15h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making15h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection15h◆Supervised Reward Inference15h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization15h◆Is Progressive Disclosure All You Need for Long-Context Agents?15h◆It Depends on the Dataset: When a Brain-Encoding Model's Predicted Responses Beat Their Visual Backbone for Video Memorability15h◆DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification15h◆Data centers expected to use 4x more electricity by 20351h◆Google releases three new Gemini models — but no 3.5 Pro2h◆Introducing the ChatGPT for small business program2h◆Anthropic’s $1.5 billion book piracy settlement approved by judge2h◆US threatens sanctions against Chinese AI models over IP theft3h◆Google launches a cheaper alternative to large AI security models like Mythos4h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated6h◆Halliday’s latest smart glasses feature a much-improved display6h◆America needs to stop getting shocked by Chinese AI8h◆Advancing next-gen AI with materials science innovation8h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else9h◆Capacity and Redundancy Trade-offs in Multi-Task Learning15h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation15h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making15h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection15h◆Supervised Reward Inference15h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization15h◆Is Progressive Disclosure All You Need for Long-Context Agents?15h◆It Depends on the Dataset: When a Brain-Encoding Model's Predicted Responses Beat Their Visual Backbone for Video Memorability15h◆DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification15h◆
Tag

#regulation

12 articles tagged #regulation

arxiv3d ago

Governing Artificial Intelligence: Public Preferences and Regulatory Options

arXiv:2607.14585v1 Announce Type: cross Abstract: Artificial intelligence (AI) is rapidly transforming economies, societies, and polities, raising fundamental questions about how it should be regulated. Policymakers face choices over whether to prioritize innovation or safety, rely on public oversig

#regulation#safety#governanceRead on arxiv →
arxivJul 14

Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification

arXiv:2607.10588v1 Announce Type: new Abstract: Tasks such as customs tariff classification, export control categorization, and standards-based equipment coding require assigning an input instance to a fine-grained class under an explicit regulatory hierarchy. Unlike standard text classification, th

#regulation#classification#hierarchicalRead on arxiv →
thevergeJul 10

Instagram’s Adam Mosseri: If you don’t like AI, ‘then you shouldn’t have it in your feed’

Though Instagram head Adam Mosseri doesn't want to filter out AI content on the platform, he argues that you "shouldn't have it in your feed" if you don't like it. "I don't think we should filter out AI content," Mosseri said during an interview on Lenny Rachitsky's podcast. "I think we should let y

#social-media#ai-content#regulationRead on theverge →
arxivJul 10

Alignment Plausibility: A New Standard for Assuring AI in Healthcare

arXiv:2607.07766v1 Announce Type: new Abstract: Large language models (LLMs) have become significant providers of mental health support, yet they remain products of an attention economy whose operational and commercial targets favour sustained engagement over the friction that effective psychologica

#safety#regulation#healthcareRead on arxiv →
techcrunchJul 9

How did the government decide OpenAI’s frontier model was safe to release?

"Exactly what that dialog looked like between the government and Anthropic and OpenAI is unclear."

SOFA2 models#regulation#safety#licensingRead on techcrunch →
arxivJul 1

When Regulation Has Memory: Hysteresis and Control Burden in Artificial Agency

arXiv:2606.30975v1 Announce Type: new Abstract: Adaptive agents are usually judged by what they do, but an agent can appear stable while the internal effort required to keep it stable is increasing. This hidden regulatory burden matters for artificial agents operating under noise, delay, or changing

#artificial-intelligence#regulation#control-theoryRead on arxiv →
techcrunchJun 19

The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care

Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails. Cybersecurity researchers have since signed an open letter calling th

FAMY2 models#regulation#security#acquisitionRead on techcrunch →
thevergeJun 18bearish

Who decides when AI is too dangerous?

On today’s episode of Decoder, my guest is Hayden Field, senior AI reporter for The Verge. Often when Hayden comes on the show, it’s because something has gone wrong in the world of AI. Last weekend, that something was a pretty intense mix of Anthropic, the Trump administration, and Anthropic’s new

FAMYCL3 models#regulation#export controls#ai safetyRead on theverge →
techcrunchJun 10

Cybersecurity researchers aren’t happy about the guardrails on Anthropic’s Fable

Cybersecurity researchers are complaining that Anthropic's new model Fable has guardrails that are too strict for any cybersecurity work.

FAMYCL3 models#cybersecurity#safety#regulationRead on techcrunch →
arxivJun 6

Zero knowledge verification for frontier AI training is possible

arXiv:2606.05433v1 Announce Type: new Abstract: Frontier AI governance frameworks increasingly use cumulative training compute as the primary criterion for designating high-impact models, but enforcement rests on self-reporting because no technical verification primitive for training exists. Any fut

#governance#verification#zero-knowledgeRead on arxiv →
arxivMay 8

A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoring

arXiv:2605.06340v1 Announce Type: cross Abstract: Continuous post-deployment compliance audits, mandated by emerging regulations such as the EU AI Act and Digital Services Act, create a class of strategic gaming distinct from the one-shot input/output gaming studied in prior work. Regulated systems

#regulation#compliance#auditingRead on arxiv →
thevergeMay 5

Google, Microsoft, and xAI will allow the US government to review their new AI models

Google DeepMind, Microsoft, and Elon Musk's xAI have agreed to allow the US government to review new AI models before they're released to the public. In an announcement on Tuesday, the Commerce Department's Center for AI Standards and Innovation (CAISI) says it will work with the AI companies to per

#regulation#standards#innovationRead on theverge →
HomeModelsNews