261–270 of 722 posts
Earlier quoted context omitted.
Google privacy cred is ... excellent? The worst data breach I know of them having was a flaw that allowed access to names and emails of 500k users.
If you consider "privacy" to be 'a giant corporation tracks every bit of possible information about you and everyone else'?
Earlier quoted context omitted.
Even before this, Gemini 3 has always felt unbelievably 'general' for me. It can beat Balatro (ante 8) with text description of the game alone[0]. Yeah, it's not an extremely difficult goal for humans, but considering: 1. It's an LLM, not something trained to play Balatro specifically 2. Most (probably >99.9%) players can't do that at the first attempt 3. I don't think there are many people who posted their Balatro p…
Google has a library of millions of scanned books from their Google Books project that started in 2004. I think we have reason to believe that there are more than a few books about effectively playing different traditional card games in there, and that an LLM trained with that dataset could generalize to understand how to play Balatro from a text description. Nonetheless I still think it's impressive that we have LLM…
Earlier quoted context omitted.
I'm excited for the big jump in ARC-AGI scores from recent models, but no one should think for a second this is some leap in "general intelligence". I joke to myself that the G in ARC-AGI is "graphical". I think what's held back models on ARC-AGI is their terrible spatial reasoning, and I'm guessing that's what the recent models have cracked. Looking forward to ARC-AGI 3, which focuses on trial and error and explorin…
The average ARC AGI 2 score for a single human is around 60%. "100% of tasks have been solved by at least 2 humans (many by more) in under 2 attempts. The average test-taker score was 60%." https://arcprize.org/arc-agi/2/
None of these benchmarks prove these tools are intelligent, let alone generally intelligent. The hubris and grift are exhausting.
Earlier quoted context omitted.
Who said they’re godlike today? And yes, you are probably using them wrong if you don’t find them useful or don’t see the rapid improvement.
Let's come back in 12 months and discuss your singularity then. Meanwhile I spent like $30 on a few models as a test yesterday, none of them could tell me why my goroutine system was failing, even though it was painfully obvious (I purposefully added one too many wg.Done), gemini, codex, minimax 2.5, they all shat the bed on a very obvious problem but I am to believe they're 98% conscious and better at logic and math…
I had a test failing because I introduced a silly comparison bug (> instead of <), and claude 4.6 opus figured out it wasn't the test the problem, but the code and fixed the bug (which I had missed).
Earlier quoted context omitted.
Who said they’re godlike today? And yes, you are probably using them wrong if you don’t find them useful or don’t see the rapid improvement.
Let's come back in 12 months and discuss your singularity then. Meanwhile I spent like $30 on a few models as a test yesterday, none of them could tell me why my goroutine system was failing, even though it was painfully obvious (I purposefully added one too many wg.Done), gemini, codex, minimax 2.5, they all shat the bed on a very obvious problem but I am to believe they're 98% conscious and better at logic and math…
The logic related to the bug wasn't all contained in one file, but across several files.
This was Gemini 2.5 Pro. A whole generation old.
Earlier quoted context omitted.
Google has a library of millions of scanned books from their Google Books project that started in 2004. I think we have reason to believe that there are more than a few books about effectively playing different traditional card games in there, and that an LLM trained with that dataset could generalize to understand how to play Balatro from a text description. Nonetheless I still think it's impressive that we have LLM…
If it tried to play Balatro using knowledge of, e.g., poker, it would lose badly rather than win. Have you played?
Earlier quoted context omitted.
François Chollet, creator of ARC-AGI, has consistently said that solving the benchmark does not mean we have AGI. It has always been meant as a stepping stone to encourage progress in the correct direction rather than as an indicator of reaching the destination. That's why he is working on ARC-AGI-3 (to be released in a few weeks) and ARC-AGI-4. His definition of reaching AGI, as I understand it, is when it becomes i…
> His definition of reaching AGI, as I understand it, is when it becomes impossible to construct the next version of ARC-AGI because we can no longer find tasks that are feasible for normal humans but unsolved by AI. That is the best definition I've yet to read. If something claims to be conscious and we can't prove it's not, we have no choice but to believe it. Thats said, I'm reminded of the impossible voting tests…
Maybe it's testing the wrong things then. Even those of use who are merely average can do lots of things that machines don't seem to be very good at.
I think ability to learn should be a core part of any AGI. Take a toddler who has never seen anybody doing laundry before and you can teach them in a few minutes how to fold a t-shirt. Where are the dumb machines that can be taught?
Is it me or is the rate of model release is accelerating to an absurd degree? Today we have Gemini 3 Deep Think and GPT 5.3 Codex Spark. Yesterday we had GLM5 and MiniMax M2.5. Five days before that we had Opus 4.6 and GPT 5.3. Then maybe two weeks I think before that we had Kimi K2.5.
They are using the current models to help develop even smarter models. Each generation of model can help even more for the next generation. I don’t think it’s hyperbolic to say that we may be only a single digit number of years away from the singularity.
We're back to singularity hype, but let's be real: benchmark gains are meaningless in the real world when the primary focus has shifted to gaming the metrics
Not trained for agentic workflows yet unfortunately - this looks like it will be fantastic when they have an agent friendly one. Super exciting.
Its really weird how you all are begging to be replaced by llms, you think if agentic workflows get good enough you're going to keep your job? Or not have your salary reduced by 50%? If Agents get good enough it's not going to build some profitable startup for you (or whatever people think they're doing with the llm slot machines) because that implies that anyone else with access to that agent can just copy you, its…
The computer industry (including SW) has been in the business of replacing jobs for decades - since the 70's. It's only fitting that SW engineers finally become the target.
Earlier quoted context omitted.
Even before this, Gemini 3 has always felt unbelievably 'general' for me. It can beat Balatro (ante 8) with text description of the game alone[0]. Yeah, it's not an extremely difficult goal for humans, but considering: 1. It's an LLM, not something trained to play Balatro specifically 2. Most (probably >99.9%) players can't do that at the first attempt 3. I don't think there are many people who posted their Balatro p…
Google has a library of millions of scanned books from their Google Books project that started in 2004. I think we have reason to believe that there are more than a few books about effectively playing different traditional card games in there, and that an LLM trained with that dataset could generalize to understand how to play Balatro from a text description. Nonetheless I still think it's impressive that we have LLM…