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.
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
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?
Ford Rehires 350 Engineers After AI Quality Fails
Ford climbed from No. 15 to No. 1 in JD Power's 2026 quality study - not by deploying more AI, but by admitting it had over-relied on automation and bringing back 350 veteran engineers to fix what the machines got wrong.
DeepMind Maps Four Routes from AGI to Superintelligence
A 57-page DeepMind paper by co-founder Shane Legg identifies four pathways from AGI to superintelligence and six bottlenecks that could block each route.
Google Delays Gemini 3.5 Pro Past Its I/O Promise
Gemini 3.5 Pro missed its June launch window promised at Google I/O, slipping to July as four senior researchers departed for rivals.
OpenAI Delays IPO to 2027 as Altman Holds Out for $1T
Sam Altman has rejected any sub-trillion IPO valuation as a nonstarter, pushing the listing to 2027 while SoftBank takes a 13% hit and SpaceX's stumbling debut makes the wait look smarter.
Refusal Gaps, Prompt Bleed, and Scaling's Logic Limit
Three new papers reveal how LLM safety hinges on persona training, how prompt modules interfere in deployed agents, and why scaling alone cannot reach symbolic reasoning.
General Intuition Raises $320M to Train AI on Gameplay
General Intuition raised $320 million at a $2.3 billion valuation on the bet that billions of hours of video game footage - with action labels - can train AI agents that operate in the real world.
Grok 4.3 Review: xAI Bets on Price Over Prestige
Grok 4.3 slashes prices by up to 83%, adds native video input and voice cloning, and carves out a credible position as the most cost-efficient frontier model - with real caveats on coding and latency.
Five Eyes Warn: Frontier AI Will Break Defenses in Months
The intelligence agencies of five allied nations issued a joint statement warning that frontier AI will fundamentally transform offensive cybersecurity within months, not years - and that most organizations are not ready.
Quantization's Hidden Tax, Cliff Tokens, Smarter Memory
Three new arXiv papers reveal hidden costs in quantized reasoning models, single-token failure triggers, and a new framework that cuts agent memory errors by up to 79%.
