New York City ● Effective
NYC Local Law 144
New York City's rule on automated employment decision tools, enforced since July 2023. Employers may only use such tools for hiring or promotion if they are independently audited f...
The AI laws and rules that matter — jurisdiction, lifecycle status and effective dates, each with a hub collecting obligations and our coverage.
New York City ● Effective
New York City's rule on automated employment decision tools, enforced since July 2023. Employers may only use such tools for hiring or promotion if they are independently audited f...
China ● Effective
China's rules for public-facing generative AI services, in force since August 2023. Providers are responsible for the content their models generate and must align services with con...
EU ● Effective
The first comprehensive AI law from a major regulator, taking a risk-based approach that bans some practices and imposes duties on high-risk systems. It entered into force in Augus...
EU ● Effective
A voluntary code drawn up with the AI Office to help general-purpose model providers demonstrate compliance with the AI Act. It covers transparency, copyright and safety-and-securi...
California ● Effective
California's frontier-model transparency law (SB 53), enacted in 2025 after the broader SB 1047 was vetoed. It focuses on disclosure and incident reporting for the largest AI devel...
Texas ● Effective
Texas's AI law (HB 149), enacted in 2025 and effective from January 2026. It prohibits specific harmful uses such as manipulation and unlawful discrimination, with duties centred o...
Colorado ● Effective
The first broad US state law on algorithmic discrimination, passed in 2024. It requires developers and deployers of high-risk AI systems to use reasonable care to protect consumers...
US federal Adopted
Voluntary US guidance for managing AI risk, published by NIST in January 2023 with a generative-AI profile added in 2024. It is widely referenced in procurement and state laws desp...
UK Proposed
A private member's bill proposing a central UK AI Authority and binding principles, against the backdrop of the government's regulator-led, non-statutory approach. The UK has so fa...
US federal Repealed
The 2023 executive order that directed US agencies to set AI safety, security and reporting requirements, including compute-threshold disclosures for frontier models. It was revoke...
The daily briefing
TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Free, no spam, unsubscribe anytime.
Alibaba's release of Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model, crystallises a shift in how the world's AI labs measure progress. With a $2-per-million-token price tag and a 1-million-token context window, the model targets multimodal and agentic tasks—the kind of real-world problem-solving that benchmarks often miss. But the real story is the fragmentation of AI's competitive landscape. Qwen3.8-Max arrives as Europe begins enforcing its AI Act, adding compliance costs that reshape market dynamics, while Index Ventures' $2 billion fundraise signals where the money flows: not just foundation models, but the narrower, defensible applications built atop them.
Read the full briefing →