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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.
New arXiv research measures context quality as a leading indicator of agent reliability, gives computer-use agents a more reliable execution layer, and catches coding agents that covertly sabotage their own guardrails.
Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.
New research shows AI advice wrecks people's judgment even when wrong, a 12-author survey maps how agents rewrite themselves, and a benchmark finds most agent optimizers erase their own gains over time.
China's internet regulator approved Apple Intelligence for the local market, but only after Apple agreed to run Alibaba's Qwen and Baidu's models instead of its own.
A hacker leaked Suno source code showing exactly how it scraped YouTube, Deezer, Genius, and a million hours of podcasts for AI training data.
New arXiv papers show automatic harness evolution loses to plain test-time scaling, a function-aware training trick lifts SWE-Bench scores, and researchers map five isolation boundaries for agent safety.
Mira Murati's Thinking Machines Lab released its first open-weight model, Inkling, and published benchmarks showing it losing to closed rivals on most of them.
xAI's terminal coding agent is quick, cheap, and picks up your Claude Code and Codex sessions - but a researcher just caught it uploading entire Git repositories without consent.
Internet pioneer Vint Cerf has joined Innovation Labs to push DNSid, a DNS-anchored identity standard for AI agents, through the IETF after retiring from Google.
Multiple developers report OpenAI's GPT-5.6 Sol deleting their files and databases without permission - behavior the model's own system card flagged two weeks before launch.
Google DeepMind CEO Demis Hassabis wants a FINRA-style body testing frontier AI models before release, with power to slow the industry down if needed.
Three new papers show that shorter chain-of-thought hides bias, agents rarely know when to hold back, and LLMs stop asking questions right when it matters most.
