GPT-Rosalind Review: The Gated Drug Discovery Model
OpenAI's life sciences reasoning model gets a June update with global access and new NGS plugins - strong benchmarks, but still locked behind a Trusted Access Program with no public pricing.
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
ChatGPT Lockdown Mode Targets Prompt Injection Data Theft
OpenAI's new Lockdown Mode cuts the network exits that prompt injection attacks use to steal data from ChatGPT - but won't stop malicious instructions from entering the model in the first place.
Google Pays SpaceX $920M Monthly for Compute Bridge
Google will pay SpaceX $920 million per month for 110,000 NVIDIA GPUs at Colossus 1, citing unexpected demand for its Gemini Enterprise agent platform.
AI Sabotage Blind Spots, Code Drift, and ZK Proofs
Three new arXiv papers expose how developers miss AI sabotage 94% of the time, why LLMs converge structurally in code evolution, and how ZK proofs could verify frontier AI training.
MiniMax M3 Review: The Price Disruptor with Caveats
MiniMax M3 arrives as the first open-weight model to combine frontier coding, 1M-token context, and native multimodality - at a fraction of proprietary pricing - but every benchmark figure is self-reported and the weights weren't even shipped at launch.
Great American AI Act Would Preempt State AI Laws
A bipartisan Congressional bill would freeze state AI laws for three years and require frontier developers to publish catastrophic risk plans, submit to federal audits, and face $1M daily fines.
AI Attachment, Smarter Spending, and Cascading RAG Errors
Three new papers tackle how routine AI use quietly rewires emotional habits, how to spend compute where failures cost most, and why agentic RAG errors compound before anyone notices.
56% of High-Risk Hackers Now Use AI, Anthropic Reports
Anthropic analyzed 832 banned accounts over 12 months and found AI-assisted threat actors grew from a third to more than half of all high-risk cases.
Alphabet's $85B AI Bet Reverses Decade of Buybacks
Alphabet priced an $84.75B equity raise on June 2, reversing a decade of share buybacks to fund a $180-190B AI infrastructure buildout - backed by a $10B bet from Berkshire Hathaway.
When to Stop - Overthinking, Handoffs, and Abstention
Three new papers show that AI agents fail not by doing the wrong thing, but by doing things when they should have stopped.
Claude Opus 4.8 Review: Reliability Over Raw Scores
Claude Opus 4.8 sets new highs on SWE-bench Pro and long-context tasks while a 4x improvement in code flaw detection may matter more than any benchmark number.
Reasoning Leaks, Hard Limits, and Self-Aware LLMs
Three new papers expose how reasoning traces can be extracted from supposedly hidden model internals, where chain-of-thought hits an architectural ceiling, and how RL teaches models to know when to quit.
