hersh

Update: Running amdgpu-install did not provide those files. There were a few errors regarding vulkan packages when I attempted, I guess because it's assuming Ubuntu repos. Trying with just opencl and not vulkan succeded, but still clinfo reported the missing files.

I don't think I can get this working without a whole newer llvm.

Ah, somehow I didn't see 18 there and only looked at 17. Thanks!

I tried pulling just the one package from the sid repo, but that created a cascade of dependencies, including all of llvm. I was able to get those files installed but not able to get clinfo to succeed. I also tried installing llvm-19 from the repo at https://apt.llvm.org/, with similar results. clinfo didn't throw the fatal errors anymore, but it didn't work, either. It still reported Number of devices 0 and OpenCL-based tools crashed anyway. Not with the same error, but with something generic about not finding a device or possibly having corrupt drivers.

Should I bite the bullet and do a full ugprade to sid, or is there some way to this more precisely that won't muck up Bookworm?

Can you explain more about your workflow? Do the Nix packages have their own isolated dependency resolution? How does it work when Debian packages depend on a library you get from Nix, or vice-versa?

Thanks, that's good advice. There are lower-numbered gfx* files in there. 900, 902, 904, 906. No 1030 or 1100. Same after reinstalling.

Looks like these files are actually provided by the libclc-15 package. libclc-16 has the same set of files. Even libclc-17 from sid has the same files. So I guess upgrading to testing/unstable wouldn't help.

apt-file search gfx1100-amdgcn-mesa-mesa3d.bc yields no results, so I guess I need to go outside of the Debian repos. I'll try the AMD package tonight.

"Smart" may as well be synonymous with "unpredictable". I don't need my computer to be smart. I need it to be predictable, consistent, and undemanding.

Thanks! I didn't see that. Relevant bit for convenience:

we call model providers on your behalf so your personal information (for example, IP address) is not exposed to them. In addition, we have agreements in place with all model providers that further limit how they can use data from these anonymous requests that includes not using Prompts and Outputs to develop or improve their models as well as deleting all information received within 30 days.

Pretty standard stuff for such services in my experience.

I'm not entirely clear on which (anti-)features are only in the browser vs in the web site as well. It sounds like they are steering people toward their commercial partners like Binance across the board.

Personally I find the cryptocurrency stuff off-putting in general. Not trying to push my opinion on you though. If you don't object to any of that stuff, then as far as I know Brave is fine for you.

Short answer: inserting affiliate links into results, and weird cryptocurrency stuff. https://www.theverge.com/2020/6/8/21283769/brave-browser-affiliate-links-crypto-privacy-ceo-apology

I don't know if that's "worse than Microsoft" because that's a real high bar. But it's different anyway.

If you click the Chat button on a DDG search page, it says:

DuckDuckGo AI Chat is a private AI-powered chat service that currently supports OpenAI’s GPT-3.5 and Anthropic’s Claude chat models.

So at minimum they are sharing data with one additional third party, either OpenAI or Anthropic depending on which model you choose.

OpenAI and Anthropic have similar terms and conditions for enterprise customers. They are not completely transparent and any given enterprise could have their own custom license terms, but my understanding is that they generally will not store queries or use them for training purposes. You'd better seek clarification from DDG. I was not able to find information on this in DDG's privacy policy.

Obviously, this is not legal advice, and I do not speak for any of these companies. This is just my understanding based on the last time I looked over the OpenAI and Anthropic privacy policies, which was a few months ago.

I've been using Kagi for a while, so I'll post a few quick thoughts I had after reading the article, linked blog, and mastodon thread.

The one thing in the blog post I strongly disagree with is her statement that the summarizer is "the same old AI bullshit". I think they just assumed that without actually testing it. The summarizer is fantastic, and is a great example of the right way to use LLMs. Its output comes entirely from the URL or file you specify. It does not hallucinate. You can ask it follow-up questions about the document, and again, its replies are limited in scope to what's actually in that document. If you ask it something out of scope it'll tell you that it can't find that information in the document. This is great because it's using the LLM for what LLMs are actually good for — complex language parsing — and not for what they're bad for, like reasoning or information storage/retrieval. It's actually quite difficult to misuse the summarizer. It's straightforward and effective. This is Kagi's killer feature, IMO.

I can't speak as highly of its search-integrated AI features like FastGPT. They mostly take information from the contents of the first few search results, but they also seem to "fill in the blanks" more than I'd like. Sometimes it gives me information that is simply not in the sources that it cites. It's not as bad as using ChatGPT (which hallucinates all day every day, and if it ever tries to cite source is hallucinates those, too) but it needs improvement.

That said, Kagi doesn't shove the AI down your throat like you might think reading the blog post. These are separate features that need to be explicitly activated. Plain searches don't return results from the LLMs. If you want that, you need to explicitly go to the assistant or trigger the "quick answer" feature on the search results page. EDIT: I just realized that this is not totally true as of a few weeks ago, when they added a feature to automatically trigger the "quick answer" blurb for search queries ending in a question mark. Perhaps that's why Lori felt like it was over-emphasized.

Anyway, back to the summarizer, here is an example of it in action. I gave it the URL of the Mastodon post. I think this is an excellent result. I also asked it an unrelated followup question so you can see that it limits itself to the information in the URL. It will not make shit up!

The summarizer lets me download conversations in markdown form, so I'll just paste it right in here so you can see.

Exploring https://hackers.town/@lori/112255132348604770

Assistant:
Key points:

• The author wrote a blog post criticizing the search engine Kagi, which then prompted the CEO of Kagi, Vlad, to email the author directly to argue against the criticism. [1]
• The author woke up to an email from Vlad, the CEO of Kagi, who was upset about the blog post the author had written. [1]
• The author decided to publicly share the email exchange with Vlad, as they felt it was important for people to see his unhinged behavior. [1]
• The author refused to engage in a private debate with Vlad, as they did not want to be taken "to Crime Scene Number Two" without any accountability. [1]
• The author believes Vlad is unable to accept criticism or disagreement, and that it "eats him alive" when someone doesn't agree with him or his company. [1]
• The author states that no other search engine CEO has emailed them directly to "mansplain their company" in this manner. [1]
• The author sees Vlad's behavior as "petty and sad" and believes he has no understanding of boundaries. [1]
• Other users in the thread share similar experiences of Vlad's inability to accept criticism and his tendency to simply restate his own opinions rather than address counterpoints. [1]
• The author and others characterize Vlad's behavior as that of a narcissist who cannot tolerate disagreement. [1]
• The author and others are amazed by Vlad's decision to set up a separate company in another country just to print and give away t-shirts, rather than focus on improving Kagi's core search functionality.

[1] lori (@lori@hackers.town)

Query:
What's the capital of North Dakota?

Assistant:
The knowledge provided does not contain any information about the capital of North Dakota. The context is focused on an email exchange between the author and the CEO of Kagi search engine regarding criticism of the company.

Because it's not the same class of device. The PS Portal is very niche. It's a $200 device that basically just runs the PS Remote Play app.

I've used PS Remote Play on my phone and laptop, and it's just not good in the cases I actually want to use it: when traveling away from home. Even with a good Internet connection it's only "okay". It's utterly useless when in transit (trains, places, etc.), and 99% useless in any public place (e.g. cafe or library WiFi).

These are all cases where the Switch, Deck, and similar devices excel. The PS Portal addresses a much smaller market.

Oh yes, definitely. I think this is why Mozilla has not made this the default behavior in Firefox; there will always be the risk of false-positives breaking copied links, so it's important that people know that there's some kind of mutation happening.

ClearURLs uses a JSON file with site-specific regex patterns and rules. In theory I could customize this for myself, or better yet submit a pull request on their GitHub. If I have time I'll look into it.