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Comment Re:American Open Weight Models (Score 1) 95

DeepMind has released Gemma 4, which doesn't include their largest models, but 31B is a creditable model. I wish I could say the same about the 26B-A4B model, which is just smart enough to be entertaining for a few days or weeks, then everything it does starts to sound the same. Unfortunately, 31B on my hardware (i5-8500, 48 GB DDR4, 12 GB RTX 3060) runs at 0.3 to 1.2 t/s. So while I'm not a big fan of Alphabet's business practices at large, they aren't regressing. Switching to the MIT license basically means they're abdicating all control over derivatives.

The only thing Grok ever really did for open weight AI was show up for the party a couple times. At first, this helped establish a baseline that could never be retracted, but it hasn't proven to be particularly important. Everything since has been far off the bleeding edge, but they collect their participation trophies. I think their subsequent actions have gone a long way toward demonstrating their purposes, which are wholly selfish. They'll do as little as they can to contribute while retaining the benefits of being perceived as open and competitive.

Comment Re:Volvo but not Polestar? (Score 1) 125

Depreciation is high, meaning you're mostly paying for a name—which people probably aren't going to do anymore. I was just looking at the market for used Polestar 2s last week: a 2024 AWD model with 48k miles (so someone leased it for three years and put every mile allowed onto it) can be had for $29k. This was almost identical to the pricing of a used Hyundai Ioniq 5 with AWD, and the Ioniq started about $5k cheaper.

Comment Re:Mirror mirror on the wall (Score 1) 42

So who is to blame when someone uses a model that has had the safety rails deliberately stripped off, like a Heretic or Abliterix fine tune? These are generally couched in "for research purposes only" terms, but I use an Abliterix fine tune of Gemma 4 26B-A4B as my "daily driver". It absolutely never refuses anything, although it spends a lot of time patting itself on the back for understanding what I say well enough to paraphrase it (reasonably) accurately.

Submission + - An Amateur just Solved a 60-year-old Math Problem—by Asking AI (scientificamerican.com)

joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23 year old student Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve.

The new solution that Price got in response to a single prompt to GPT-5.4 Pro and posted on www.erdosproblems.com, a website devoted to the Erds problems.

The question Price solved—or prompted ChatGPT to solve—concerns special sets of whole numbers, where no number in the set can be evenly divided by any other. Erds called these “primitive sets” because of their connection to similarly indivisible prime numbers.Price wasn’t aware of this history when he entered the problem into ChatGPT.

Price sent it to his occasional collaborator Kevin Barreto, a second-year undergraduate in mathematics at the University of Cambridge. The duo had jump-started the AI-for-Erds craze late last year by prompting a free version of ChatGPT with open problems chosen at random from the Erds problems website. Reviewing Price’s message, Barreto realized what they had was special, and experts whom he notified quickly took notice.

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