Today's Hallucination HQAgents of the Web: Tim Berners-Lee's 25-Year-Old Dream Is Awkwardly Coming True
Tim Berners-Lee invented the web, then in 2001 quietly described a better one — an autonomous, machine-navigable "Semantic Web" where software agents handle tasks on your behalf. It didn't quite happen. Now, two and a half decades later, AI agents are browsing, booking, and clicking around the internet as if they own the place. The vision arrived; it just came via Silicon Valley venture capital rather than a politely collaborative academic paper.
Source: MIT Technology Review
Two Lawyers Tried to Trick a Court's AI. The Court's AI Was Not Fooled
In a move that will feature in law school ethics lectures for years, two Brazilian lawyers embedded hidden white-on-white text inside a court filing, instructing the court's AI to look favourably on their case. Prompt injection, the technique is called — essentially passing secret notes to a machine and hoping it obeys. The court's AI spotted it. The lawyers were fined $16,000. The lesson, apparently, is that if you're going to deceive a computer, perhaps don't do it in a legal document.
Source: Jetstream.security
OpenAI Discovers That "Data Centre" Sounds Bad and "AI Compute Campus" Sounds Worse
Data centres are loud, hot, thirsty for water, and wildly unpopular with anyone living near one. OpenAI's proposed solution: rename them "AI compute campuses," conjuring images of leafy quads and students with tote bags rather than diesel generators and cooling towers the size of warehouses. It is, to be fair, a time-honoured corporate tradition — if the thing itself won't change, change what you call it. The planning committees remain uncharmed.
Source: TechCrunch
Reinforcement Learning Has a Hidden Cost, and Someone Finally Did the Maths
A new paper brings news that will delight pessimists everywhere: there is no free lunch in RLVR (reinforcement learning from verifiable rewards, the technique behind models that reason). Every time you train a model to get better at solving one type of problem, it quietly gets worse at others. The researchers proved this formally and even built a browser tool so you can watch the trade-offs in real time. Apparently "we made it smarter" always has a footnote, and the footnote is quite long.
Source: r/MachineLearning
Google, Microsoft, and OpenAI Agree You Can Opt Out of AI Training — Eventually, Mostly, Depending
The three companies have agreed to honour a single shared opt-out signal — one line in a website's robots.txt file — that would tell all of them not to use your content for AI training. A genuine step forward. The fine print, however, is doing considerable heavy lifting: each company is implementing it on its own timeline, with its own scope, and with its own definitions of what "honouring" means. A unified opt-out, delivered in three completely different ways.
Source: Search Engine Journal
Stay curious. The machines certainly are.
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