Meta's $145B AI Bet Is Behind Schedule, Zuckerberg Admits
Zuckerberg told employees at a July 2 town hall that Meta's agentic AI trajectory hasn't accelerated as expected - but the data tells a more complicated story.
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
Science Agents, Jailbreak Defense, and Open-World Failures
Three papers from today's arXiv: graph-native RL generates traceable scientific hypotheses, HARC defeats jailbreaks by coupling internal safety directions, and ICML 2026's OpenAgent shows how distributional shift breaks tool-use agents.
Microsoft's Frontier Company Bets $2.5B on Enterprise AI
Microsoft launches Frontier Company with $2.5B and 6,000 engineers to embed AI inside enterprise clients, escalating the arms race against OpenAI, Anthropic, and Amazon.
Agent Phase Collapse, Reasoning Exits, Preference Gaps
Three new arXiv papers map capability cliffs in agent world models, the narrow benefit of learned reasoning stops, and a 56% accuracy ceiling when agents help users build preferences.
Claude Sonnet 5 Review: Near-Opus at Half the Price
Anthropic's Sonnet 5 is the first mid-tier model that genuinely competes with Opus-class agents on coding and computer use, released June 30 at $2/$10 per million tokens.
US Ends Fable 5 Ban, Sets Jailbreak Severity Scale
The Trump administration lifted export controls on Anthropic's Fable 5 and Mythos 5 on June 30, restoring global access today while industry partners draft a four-dimension jailbreak severity framework.
Agent Languages, Sampling Ceilings, and Abstention
Three new papers on agents inventing symbolic languages to cut reasoning tokens by 3-6x, sampling ceilings that waste inference compute, and context-engineering to double agentic abstention rates.
Claude Sonnet 5 Is Anthropic's New Agentic Default
Anthropic's Claude Sonnet 5 becomes the default model across all plans, promising near-Opus agentic performance at a third less than Sonnet 4.6's standard price.
Colorado's AI Law Takes Effect Today, Already Gutted
Colorado's landmark AI consumer protection law takes effect June 30, but a federal lawsuit by xAI, DOJ intervention, and a replacement bill signed in May have already stripped its core protections.
Tandem Training, World Models, and Efficient Agents
Three new arXiv papers on making RL reasoning legible across models, fixing broken world model latent states, and training small agents to beat their teachers.
Grok 4.5 Enters Beta with Unverified Opus Claims
Elon Musk announced Grok 4.5 is in private beta at SpaceX and Tesla, claiming it rivals Claude Opus - but the only benchmarks cited are internal ones run at Musk's own companies.
GLM-5.2 Review: Best Open-Weight Coder at 1/6 Cost
Z.ai's GLM-5.2 delivers frontier coding performance with open weights and MIT license at roughly one-sixth the cost of GPT-5.5 - but can it replace Claude Opus 4.8?
