Because having to ask suggests that the AI didn't already do it for you pre-emptively.
If you're not yet waking up to AI completing tasks for you that you didn't directly ask for, you might be falling behind the curve. A good personal assistant does what you ask, a better personal assistant knows what you need before you do and has it completed before you reach your desk. AI is already starting to reach into the latter category.
Their API doesn't provide the mixed Kagi metasearch results though. Only results from their smallweb Teclis index, Curlie, and I think Marginalia results are included. Probably also other sources I'm not aware of.
Marginalia has a free-ish API for non-commercial purposes if you go direct:
It's probably because you were talking about a quote from a book (ie copyrighted material). Authors have sued the AI companies for repeating / memorizing copyrighted works, and getting an AI to discuss a quote would be making it repeat a portion of copyrighted work.
Funny that your case is Kurt Vonnegut. I think I had Claude refuse a task where I was doing an OCR scan of a book review (in a zine / journal a family member published years ago). I think the review might have included a Vonnegut quote as well, and that I ultimately figured it out it was the quote that was making Claude refuse. I may be misremembering the author though.
Mistral had no such refusals, but their OCR is lesser quality.
OMG. Where did I get Kurt Vonnegut from? I swear I saw that name in the post and the whole time I was thinking "but he didn't write Catch 22"... I must be fuzzier brained than I thought tonight. Thank you for being kind with your correction.
Hopefully I'm still correct that quoting from books is a reason for some over-zealous task refusals, though.
> Authors have sued the AI companies for repeating / memorizing copyrighted works, and getting an AI to discuss a quote would be making it repeat a portion of copyrighted work.
I've run into problems with Apple chargers not charging my Lenovo laptop. (I used to be an Apple fanboy, but after a MacBook Pro that required 6 repairs, I switched to Lenovo).
I've been much happier since switching to Anker chargers, works much better with my Lenovo and drastically more portable than the Apple ones. It's better able to fit certain situations where the Apple brick won't fit into sockets that are close to the ground / desk, at least not without a bulky extension cable.
A bit of snark, but don't forget the Apple charger recall:
(That said, I do think Apple's chargers were designed far better than most, and I loved that they put so much design thought into the world travel kit. Anker doesn't have the interchangeable heads, but it turns out their chargers are multi-region and a simple adapter head does the job just as well, in a smaller form factor than the Apple bricks. I still somewhat miss Magsafe as well, Magsafe 1 was excellent.)
Yep, I did. While I don't use OpenClaw, I built a small MCP tool for my AI to use Gopher in a minimal harness, and it's been useful. Gopher is almost an ideal protocol for AI, none of the token verbosity of HTML. But I admit in my case, it's mostly being used to access weather data on Floodgap's Groundhog, because the format published on Gopher is much easier to parse & access than the paywalled government APIs in Australia. Claude occasionally uses Veronica to do a search instead of a web search as well.
Pete is one of those rare Microsoft developers who is actively interacting with customers publicly. He's active on the Gearspace forums where musicians hang out, helping people with their Windows issues relating to operating system level audio issues. Here's his Gearspace thread announcing the new Windows 11 MIDI drivers:
I wish there were more people like Pete working at Microsoft. He's someone who is genuinely trying to improve the OS and make it a great experience for users.
EDIT: Re-read the original post and I see Pete even checked this project out and commented on Reddit. Sorry I missed that the first time.
GPT 5.5 appears to have matched Mythos Preview on the UK government AISI "The Last Ones" benchmark. Quoting from the @AISecurityInst thread:
"A key question after our evaluation of Mythos Preview earlier this month was whether its performance was a one-off. GPT-5.5 - a different model, from a different developer - achieving similar results suggests this is part of a broader trend in AI cyber capabilities."
I am that person. I found the 'secret' stickers in Claude Code and bought some so I could have a little holographic glittery Claw'd sticker on my laptop. It still (mostly) makes me smile when I see it.
I have no idea what this Champion Kit is, and it looks grotesquely corporate (and I guess, "enterprise"). I'm stunned that people would ever need to be told "When a colleague asks how you accomplished something, respond with the actual prompt you used". I work for myself, so maybe I just don't encounter people who would need to be told this?
This makes me want to deliberately not mention Claude if I'm helping someone. I want people to gain from the general tool category, whichever LLM they use, and to be able to think for themselves how to apply it and extend it. Not "type in this exact prompt in this exact box to get this non-exact non-deterministic response".
I've been noticing this with the Mistral Voxtral TTS models too. I have my AI record a morning briefing podcast for myself, and occasionally there are sounds like music at the start (the british voice had a musical tone underneath that sounded a little like the end of the BBC News theme). I don't think I've ever encountered that with the OpenAI TTS models, so they're now my default go-to again.
If you're not yet waking up to AI completing tasks for you that you didn't directly ask for, you might be falling behind the curve. A good personal assistant does what you ask, a better personal assistant knows what you need before you do and has it completed before you reach your desk. AI is already starting to reach into the latter category.
(edit: dialled back some unnecessary snark.)
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