Bigger AIs Aren’t Better AIs
Turns out that when large language models (“LLMS”) get larger, they get better at certain tasks and worse on others. Researchers in a group called BigScience found that feeding LLMs more data made them better at solving difficult questions –
AI And The Dancing Mushroom
It sounds like the title of a Roald Dahl story, but researchers have devised a robot that moves in response to the wishes of a mushroom. OK, so a shroom might not desire to jump or walk across a room,
California Just Folded On Regulating AI
California’s governor Gavin Newsom has vetoed the nation’s most thoughtful and comprehensive AI safety bill, opting instead to “partner” with “industry experts” to develop voluntary “guardrails.” Newsom claimed the bill was flawed because it would put onerous burdens and legal
AI’s Kobayashi Maru
Imagine a no-win situation in which you must pick the least worst option. It’s the premise of a training exercise featured in Star Trek II: The Wrath of Kahn, in which a would-be captain needs to decide whether or not
Trust AI, Not One Another
A recent experiment found that an AI chatbot could fare significantly better at convincing people that their nuttiest conspiracy theories might be wrong. This is good news, and it’s bad news. The AIs were able to reduce participants’ beliefs in
The Head Fake of AI Regulation
There’s lots going on with AI regulation. The EU AI Act went live last month, the US, UK, and EU will sign-on to a treaty on AI later this week, and an AI bill is in the final stages of
Meet The New AI Boss
Since LLMs are only as good as the data on which they’re based, it should be no surprise that they can function properly and still be biased and wrong. A story by Kevin Roose in the New York Times illustrates