There wasn't a post yet on this somehow, but Google's latest AI is reportedly quite a bit ahead of others in performance:
https://www.thealgorithmicbridge.com/p/google-gemini-3-just-killed-every
Tri-Valley Cares needs to be on this if they aren't already. We need to make sure that NNSA and LLNL does not make good on promises to pursue such stupid ideas as doing Plutonium experiments on NIF. The stupidity arises from the fact that a huge population is placed at risk in the short and long term. Why do this kind of experiment in a heavily populated area? Only a moron would push that kind of imbecile area. Do it somewhere else in the god forsaken hills of Los Alamos. Why should the communities in the Bay Area be subjected to such increased risk just because the lab's NIF has failed twice and is trying the Hail Mary pass of doing an SNM experiment just to justify their existence? Those Laser EoS techniques and the people analyzing the raw data are all just BAD anyways. You know what comes next after they do the experiment. They'll figure out that they need larger samples. More risk for the local population. Stop this imbecilic pursuit. They wan...
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Second, there are so many metrics that the companies can just pick the few that their models excel at and claim they are the best. Regardless, they can game the test by training the model to do well specifically on certain metrics.
Lastly, since we are in an AI bubble, the media is in a frenzy over every minor, incremental improvement. If one model is 10% better than the others, it is a revolution and AGI is around the corner. But we were promised exponential scaling of performance and since GPT 4, all we've gotten is AI video generators and higher hallucination rates.