991–1000 of 1001 posts
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Had you paid more attention, you would have realised it's not the classic riddle, but an already tweaked version that makes it impossible to solve, hence why it is interesting.
Both Claude 4 Sonnet and Opus fail this one, even with extended thinking enabled, and even with a follow-up request to double-check their answers: “What is heavier, 20 pounds of lead or 20 feathers?”
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im mediocre and got fired yesterday so not far
Damn I wish you good luck. I'm also pretty mediocre and my career life is always a quarter away from the end. Gotta enjoy it while can.
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I'm getting "claude code not found" even though I have Claude Code installed. Is there some trick to getting it to see my install? I installed claude code the normal way.
it might not find the command depending on how it's set up. we're be reworking this logic in the next release so it does a better job detecting the command! it should work if you run `claude` from within the IDE's built-in terminal
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I also use DeepSeek R1 as a daily driver. Combined with Qwen3 when I need better tool usage. Now that both Google and Claude are out, I expect to see DeepSeek R2 released very soon. It would be funny to watch an actual open source model getting close to the commercial competition.
Have you compared R1 with V3-0324?
And I don't even have to wait that long. If I watch the thinking, I can spot quickly it misunderstood me and rephrase the question without even waiting for the full response.
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The option just shown up in Copilot settings page for me
Turns out Opus 4 starts at their $40/mo ("Pro+") plan which is sad, and they serve o4-mini and Gemini as well so it's a bit less exclusive than this announcement implies. That said, I have a random question for any Anthropic-heads out there: GitHub says "Claude Opus 4 is hosted by Anthropic PBC. Claude Sonnet 4 is hosted by Anthropic 1P."[1]. What's Anthropic 1P ? Based on the only Kagi result being a deployment tuto…
"Claude Opus 4 and Claude Sonnet 4 are hosted by Anthropic PBC and Google Cloud Platform."
They also mention:
"GitHub has provider agreements in place to ensure data is not used for training."
They go on to elaborate. Perhaps this kind of offering instills confidence in some who might not trust model providers 1:1, but believe they will respect their contract with a large customer like Microsoft (GitHub).
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This is a weirdly cherry-picked example. The gaming approach was also the premise of DeepMind's AI efforts in 2016, which was nine years ago. Regardless of what you think about the utility of text (code), video, audio, and image generation, surely you think that their progress on the protein-folding problem and weather prediction have been useful to society? What counts as a killer app to you? Can you name one?
Well the example came from their own press-release, so who cherry-picked it? Why should I name the next killer app ? Isnt that something that we just recognise the moment it shows up, like we did with www and e-commerce? Its not something a comittee staffed by a bunch of MBAs defines ahead of the time, as is currently the case with the use-cases that are being pushed into our faces every day. I would applaud and chee…
a bunch of people think that something like chatgpt is a killer app, and they know it when they see it. you assert that it obviously is not, so clearly the above intuition isn't working for the purposes of discussion.
instead, someone should define the term so that we know what we're talking about, and i offer you the ability to do it so that the frame of the discussion can be favorable to your point of view. but you are also not willing to do that, so how do you expect to convince anyone of your viewpoint?
At Kilo we're already seeing lots of people trying it out. It's looking very good so far. Gemini 2.5 Pro had been taking over from Claude 3.7 Sonnet, but it looks like there's a new king. The bigger question is how often it's worth the price.
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The LLMs have reached a plateau. Successive generations will be marginally better. We're watching innovation move into the use and application of LLMs.
Innovation and better application of a relatively fixed amount of intelligence got us from wood spears to the moon. So even if the plateau is real (which I doubt given the pace of new releases and things like AlphaEvolve) and we'd only expect small fundamental improvements some "better applications" could still mean a lot of untapped potential.
We'll continue to see incremental improvements as training sets, weights, size, and compute improve. But they're incremental.
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It still matters for software packages. Particularly python packages that have to do with programming with AI! They are evolving quickly, with deprecation and updated documentation. Having to correct for this in system prompts is a pain. It would be great if the models were updating portions of their content more recently than others. For the tailwind example in parent-sibling comment, should absolutely be as up to d…
I've had good success with the Context7 model context protocol tool, which allows code agents, like GitHub Copilot, to look up the latest relevant version of library documentation including code snippets: https://context7.com/
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It still matters for software packages. Particularly python packages that have to do with programming with AI! They are evolving quickly, with deprecation and updated documentation. Having to correct for this in system prompts is a pain. It would be great if the models were updating portions of their content more recently than others. For the tailwind example in parent-sibling comment, should absolutely be as up to d…
I've had good success with the Context7 model context protocol tool, which allows code agents, like GitHub Copilot, to look up the latest relevant version of library documentation including code snippets: https://context7.com/