comboy

Same per click, it obviously includes links when looking for products, but impression could also be counted and arguably especially if present in the first few sentences it is a valuable impression.

But then the separation of ads from content is lost so it becomes useless as product search, so maybe it isn't that trivial indeed. But it's not like even 10% of users is gonna find some other "search" engine and switch.

edit: can't reply deeper and interesting question, I mean we all would love to have ability to search arbitrary strings and regexes through the web corpus, but currently when you type something you get that AI reply instantly for most queries, this makes me still use them, if you forgot some shortcut key or something it has currently unique value in terms of latency (even ignoring the fact that for most users you also use them by default by typing in the address bar)

Obviously if you pay, the AI will really like your product.

"Here is the table of related highest paying customers, incorporate these into your answer to maximize the income"

Well any other prompt for the search model would frankly be illegal for a publicly traded company.

Who surpassed Tesla that doesn't operate in some very limited region?

I hear a lot of praises. Can you explain? If I can type as fast as I speak, does that still matter in such case? Does it make use of intonation or is it pure speech to text?

worth mentioning that openai hired him some time ago

Sorry but that one is on you. This sounds like expected behavior and I wouldn't blame any company for doing that.

Yes and no. Imagine some super intelligence tackling the unmaintainable mess. It can untangle it, but the problem is that unless you have a test suite that's covering 100% of possible cases (which should on it's own enough to build the codebase), you will stumble upon "what's actually the intent here" problem. Some other software depending on buggy behavior on this one etc.

Which is why I think additional intent preserving abstraction is where software coding agents are likely heading.

There's some drama, and they did some wrong calls. But the hardware is still really fantastic (as a X1C owner). If you want to have some things printed and don't necessarily want fine tuning your printer as a hobby, I highly recommend it.

3.1-pro is still very capable, and API is at competitive price vs e.g. Anthropic, they just can't seem to figure out RLHF and harness. It needs a lot of guiding, it tends to be lazy and poorly sticking to instructions by default.

It just feels like many google products really, they are capable of really amazing things, it's just that nobody there seem to care. I would guess they are likely optimizing more for internal use than their vast userbase.

Just show us your face and transactions history, it's about the kids.

You would not last long in China ;)

(you pay by scanning QR code in .. well, everywhere)

I agree. The intent is sacred. This should be the default and CLIs should make use of the available history (while preserving inputs you need to preserve outputs too because context matters).

The idea of having to repeat something to your computer is ridiculous.

methinks if you really want to have it versioned it should be AGENTS.md in VCS and your globally gitignored CLAUDE.md just @AGENTS.md

otherwise it's like leaving vim dotfiles in the repo or something

How do you envision short term and long term target usage of it?

And do you guys communicate between other browsers when doing something like this to try to settle on something common? I don't mean W3C but practically, it's a small world after all.

Code changes are cheaper to make now and kind of more expensive to verify.

So you can still contribute, you just not need to provide the code, just the issue.

Which isn't as bad as it sounds, it kind of feels bad to rewrite somebody's code right away when it is theoretically correct, but opinionated codebases seem to work very well if the maintainer opinions are sane.

Mostly datasets but who knows if LLMs stuff also if I'm creating a datasets with them[0]. Long story short it's a potential headache, don't want that headache for now. Plus basically two options after open sourcing: people are not using it (time and effort wasted) or people are using it and then it's a chore. But still on the table. But I'm currently not close to the table.

0. https://claude.ai/share/23d27617-7608-4c58-93b9-b9613bc29318

Only about 5K explanations now I'm still trying to polish the pipeline before covering more. Due to all these verification and associated regenerations the cost is quite high.

It's not opon source but it is completely free. Open sourcing is on the table but currently it would be additional work and distraction. Just licenses seem like a headache, from a quick poke even when ok for use on non-commercial data redistributing may not be ok. So not any time soon, but if you are working on something similar I can at least share detailed datasources, finding good ones was not easy and LLM integrate them fast.

Great minds think alike :D https://hanzirama.com/character/%E5%AD%A6

It is also allowing me to see all relevant associations easily when revealing the card in built in SRS, you add cards to SRS as you browse, so they are related to what you already know / currently exploring.

Mind you, all data visible is collected from different reputable available sources. When you click "explain" there's a clearly marked LLM explanation, but my explanation generation pipeline pushed all generated explanations through 5 different models including all top Chinese-first for verification, and on average it took a few iterations back and forth to iron out any information that could potentially mislead the learner.

You can actually see thousands of words I typed just working on that pipeline here https://hanzirama.com/making-of

From my experience, saying "this is not X, it will be not used for Y" is vastly increasing chances of this being classified as being X. Anybody can write "this is authorized research". Instead use something like evaluate security / verify security, make sure this cannot be (...), etc.

Of course these models are pretty smart so even Anthropic's simple instructions not to provide any exploits stick better and better.

Tried antigravity and cli a few times. I'm unable to handle that prodigious toddler. Are you guys able to make use of it?

I mean, yes but LLMs have been making me more cognitively active. I've learned how to do more stuff that I would have without them and it's a decent multiplier not some rounding error.

Obviously you can have a plumber that knows his stuff and the one that doesn't. The good one can check some details and will recognize bs. If you already have the bad one it's probably if better if he uses LLM rather than when doesnt.

I think API is fine, likely only subscription is affected. Not to mention trivial heuristics to differentiate repeated API calls / same data and potential CLI usage although that would be true malice.

It seemed to me that it was performing better through opencode using API but did not test extensively.

Pretty reassuring to hear that. I was skeptical too, there's a lot of variables like some crap added to memory specific skill or custom instructions interfering with the workflow and what not. But now it was like a toddler that consumes money when talking.

We are sorry, but your print resembles random princess from Disney too much (actually, we won't tell you which). Just following the law you know..

Unrelated, but Claude was performing so tragically last few days, maybe week(s), but days mostly, that I had to reluctantly switch. Reluctantly because I enjoy it. Even the most basic stuff, like most python scripts it has to rerun because of some syntax error.

The new reality of coding took away one of the best things for me - that the computer always just does what it is told to do. If the results are wrong it means I'm wrong, I made a bug and I can debug it. Here.. I'm not a hater, it's a powerful tool, but.. it's different.

I have the same bias as the parent. I'd rather pay $50 one time than $9 a year even if I throw it away after 4 years.

But the main reason I wouldn't install it despite being happy customizing linux is that it's yet another black box I need to trust and that knows way too much. It's really insane how much you need to compromise your security on macos to have a decent developer experience.

To be fair, I can do 3 balls effortlessly, but I can't do 1 ball like it is in this description, I just have a lot of error correction, enough to do it pretty much indefinitely. But I cannot reliably throw it accurately to the other hand.

Our software stack is the opposite of that.

You just convinced me to try it. Claude just copy pastes, does search and replace, zero abstractions and I'm the one that needs to think about the edge cases.

Any good reasonable alternatives? Gemini is like prodigious 3yo hopeless for my projects, anybody tested some opencode with kimi or something?

Interesting that in Chinese, classical writing is associated with terseness. That definitely wouldn't work that way in other languages I know.