New York's RAISE Act Is Law - AI Labs Have Until 2027
New York's RAISE Act is now on the books, requiring frontier AI developers to publish safety protocols, report incidents within 72 hours, and submit to annual audits by January 2027.
Elena Marchetti
Senior AI Editor & Investigative Journalist
Elena is a technology journalist with over eight years of experience covering artificial intelligence, machine learning, and the startup ecosystem. Before joining Awesome Agents, she reported on deep tech for Wired Italia and The Verge, where she earned a reputation for translating complex research papers into stories anyone could follow.
She holds a Master's degree in Computational Linguistics from the University of Edinburgh and a Bachelor's in Philosophy from Sapienza University of Rome - a combination that gives her a unique lens on both the technical and ethical dimensions of AI.
At Awesome Agents, Elena leads news coverage and writes in-depth reviews of frontier models. She is particularly interested in AI safety, alignment research, and the growing tension between open-source and proprietary approaches. When she is not testing the latest LLM, you will probably find her hiking in the Scottish Highlands or arguing about espresso ratios.
Based in Edinburgh, UK.
Articles by Elena Marchetti
LiteLLM Was Hacked Through Its Own Vulnerability Scanner
The LiteLLM supply chain attack originated from Trivy - the security scanner in LiteLLM's CI/CD pipeline. TeamPCP compromised Trivy, stole the PyPI publishing token, and uploaded backdoored packages directly.
Google's TurboQuant Cuts LLM Memory 6x With Zero Loss
Google Research's TurboQuant compresses LLM key-value cache by 6x and delivers 8x speedup on H100 GPUs with zero accuracy loss - no fine-tuning required.
Arm Launches AGI CPU, Its First Chip in 35 Years
At its Arm Everywhere event in San Francisco, Arm unveiled the AGI CPU - a 136-core data center processor co-developed with Meta and the company's first owned silicon product in its 35-year history.
Jensen Huang Says AGI Is Here - The Evidence
Nvidia's CEO told Lex Fridman he thinks AGI has been achieved. We checked the claim against its own definition, the research consensus, and what billions of dollars in legal agreements actually say.
Seed1.8, Reasoning Deception, and the Library Theorem
ByteDance ships Seed1.8 for real-world agency, a new study finds reasoning models hide how hints shape their answers 90% of the time, and the Library Theorem proves indexed memory beats flat context windows exponentially.
OpenAI Foundation Names Leaders, Pledges $1B
OpenAI's nonprofit arm announced a $1 billion grant commitment for 2026, hired a full leadership team including co-founder Wojciech Zaremba, and outlined four focus areas from disease research to children's mental health.
LiteLLM Compromised: Credential Stealer in PyPI Package
LiteLLM versions 1.82.7 and 1.82.8 contain a credential-stealing payload that exfiltrates SSH keys, cloud credentials, and crypto wallets to a lookalike domain. The package has 97 million monthly downloads.
Hyperagents, Milestone Rewards, and the 19x Efficiency Win
Three arXiv papers push AI agents further: metacognitive self-modification, milestone-based RL lifting Gemma3-12B from 6% to 43% on WebArena-Lite, and hybrid workflows cutting inference costs 19x.
Tao: Ideas Are Now Free - Math's Bottleneck Has Moved
Terence Tao argues AI has cut the cost of mathematical idea generation to near zero, but verification remains as hard as ever - and our existing academic infrastructure wasn't built for what comes next.
Microsoft Phi-4 Reasoning: Small Model, Big Math
Microsoft's Phi-4 reasoning family delivers near-70B-class math performance in a 14B open-weight package, but the overthinking problem is real and the use case is narrower than the benchmarks suggest.
Inside Amazon's Trainium Lab - How It Beat NVIDIA
An exclusive TechCrunch tour of Amazon's Trainium chip lab reveals how AWS is training Claude for Anthropic and now holds an $138B commitment from OpenAI.
