MIT Tech Review
Google DeepMind is worried about what happens when millions of agents start to interact
Google DeepMind is backing research into the risks posed by millions of autonomous AI agents operating and communicating with each other at scale. The concern centers on agents that can act without human oversight and take instructions from other agents — a dynamic that could produce unpredictable, cascading outcomes across the internet. As agentic AI moves from lab to mass market, the industry is racing to understand failure modes before they become impossible to contain.
Read article →Hacker News
Why AI hasn't replaced software engineers, and won't
Despite years of predictions, AI tools have yet to displace software engineers — and the reasons go deeper than technical limitations. The article argues that software development is fundamentally a problem of understanding, not just code generation, and that human judgment remains essential for navigating ambiguity, stakeholder needs, and system complexity. Until AI can reliably reason about *what to build* and not just *how to build it*, engineers aren't going anywhere.
Read article →TechCrunch
xAI fired an engineer who raised alarms about Grok safety, new lawsuit claims
A former xAI engineer has filed a lawsuit against the company and SpaceX, alleging he was wrongfully terminated after flagging safety concerns about the Grok AI system. The firing reportedly came just days before SpaceX's high-profile IPO, raising questions about whether the timing was more than coincidental. The case adds to growing scrutiny of how AI companies handle internal dissent on safety issues.
Read article →Hacker News
OpenAI mulls slashing prices as it competes with Anthropic for users
OpenAI is considering significant price cuts as competition with Anthropic intensifies in the race to capture enterprise and consumer AI users. The move signals that the AI market is maturing fast, with pricing becoming a primary battleground alongside raw capability. For businesses currently locked into AI contracts, this rivalry could translate directly into better deals.
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The Verge
Amazon’s data centers used 2.5 billion gallons of water last year
Amazon disclosed for the first time that its global data centers consumed 2.5 billion gallons of water in 2024, a two percent decline from the prior year despite continued expansion. The rare transparency comes as Seattle enacted a one-year moratorium on new data centers, a move backed by some Amazon employees amid growing scrutiny over the resource demands of AI infrastructure. The figure underscores the scale of water consumption tied to cloud and AI computing at a moment when municipalities are pushing back on unchecked data center growth.
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