181–190 of 359 posts
Benchmarks from page 4 of the model card: | Benchmark | 3 Pro | 2.5 Pro | Sonnet 4.5 | GPT-5.1 | |-----------------------|-----------|---------|------------|-----------| | Humanity's Last Exam | 37.5% | 21.6% | 13.7% | 26.5% | | ARC-AGI-2 | 31.1% | 4.9% | 13.6% | 17.6% | | GPQA Diamond | 91.9% | 86.4% | 83.4% | 88.1% | | AIME 2025 | | | | | | (no tools) | 95.0% | 88.0% | 87.0% | 94.0% | | (code execution) | 100% | -…
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> EDIT: Also, your DNS provider is censoring (and probably monitoring) your internet traffic. I would switch to a different provider. Yeah, that was via my ISPs DNS resolver (Vodafone), switching the resolver works :) The responsible party is ultimately our government who've decided it's legal to block a wide range of servers and websites because some people like to watch illegal football streams. I think Allot is ju…
My site has nothing to do with football though. And Allot seems to be running the DNS server that your ISP uses so they are directly responsible for the block.
Benchmarks from page 4 of the model card: | Benchmark | 3 Pro | 2.5 Pro | Sonnet 4.5 | GPT-5.1 | |-----------------------|-----------|---------|------------|-----------| | Humanity's Last Exam | 37.5% | 21.6% | 13.7% | 26.5% | | ARC-AGI-2 | 31.1% | 4.9% | 13.6% | 17.6% | | GPQA Diamond | 91.9% | 86.4% | 83.4% | 88.1% | | AIME 2025 | | | | | | (no tools) | 95.0% | 88.0% | 87.0% | 94.0% | | (code execution) | 100% | -…
Models have begun to fairly thoroughly saturate "knowledge" and such, but there are still considerable bumps there
But the _big news_, and the demonstration of their achievement here, are the incredible scores they've racked up here for what's necessary for agentic AI to become widely deployable. t2-bench. Visual comprehension. Computer use. Vending-Bench. The sorts of things that are necessary for AI to move beyond an auto-researching tool, and into the realm where it can actually handle complex tasks in the way that businesses need in order to reap rewards from deploying AI tech.
Will be very interesting to see what papers are published as a result of this, as they have _clearly_ tapped into some new avenues for training models.
And here I was, all wowed, after playing with Grok 4.1 for the past few hours! xD
Title of the document is "[Gemini 3 Pro] External Model Card - November 18, 2025 - v2", in case you needed further confirmation that the model will be released today. Also interesting to know that Google Antigravity (antigravity.google / https://github.com/Google-Antigravity ?) leaked. I remember seeing this subdomain recently. Probably Gemini 3 related as well. Org was created on 2025-11-04T19:28:13Z ( https://api.g…
what is Google Antigravity?
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That looks impressive, but some of the are a bit out of date. On Terminal-Bench 2 for example, the leader is currently "Codex CLI (GPT-5.1-Codex)" at 57.8%, beating this new release.
That's a different model not in the chart. They're not going to include hundreds of fine tunes in a chart like this.
That seems like a low bar. Who's training frontier LLMs on CPUs? Surely they meant to compare TPUs to GPUs. If "this is faster than a CPU for massively parallel AI training" is the best you can say about it, that's not very impressive.
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> I guess improvements will be incremental from here on out. What do you mean? These coding leaderboards were at single digits about a year ago and are now in the seventies. These frontier models are arguably already better at the benchmark that any single human - it's unlikely that any particular human dev is knowledgeable to tackle the full range of diverse tasks even in the smaller SWE-Bench Verified within a reas…
A new benchmark comes out, it's designed so nothing does well at it, the models max it out, and the cycle repeats. This could either describe massive growth of LLM coding abilities or a disconnect between what the new benchmarks are measuring & why new models are scoring well after enough time. In the former assumption there is no limit to the growth of scores... but there is also not very much actual growth (if any…
What field are you in where you feel that there might not have been any growth in capabilities at all?
EDIT: Typo
So does google actually have a claude console alternative currently?
Noteworthily, although Gemini 3 Pro seems to have much benchmark scores than other models across the board (including compared to Claude), it's not the case for coding, where it appears to score essentially the same as the others. I wonder why that is. So far, IMHO, Claude Code remains significantly better than Gemini CLI. We'll see whether that changes with Gemini 3.
That's because coding is currently the only reliable benchmark where reasoning capabilities transfer to predict capabilities for other professions like law. Coding is the only area where they are shy to release numbers. All these exam scores are fakeable by gaming those benchmarks.
> TPUs are specifically designed to handle the massive computations involved in training LLMs and can speed up training considerably compared to CPUs. That seems like a low bar. Who's training frontier LLMs on CPUs? Surely they meant to compare TPUs to GPUs. If "this is faster than a CPU for massively parallel AI training" is the best you can say about it, that's not very impressive.