giancarlostoro

Technically other companies do, and I lump them in when I say "these AI companies" I am talking about any company that makes and builds any AI harness, coding or otherwise, I have not seen any innovating in the areas of the UI / UX of using these chat models in a meaningful way.

I'm not a fan of OpenAI / Sam Altman, but I love their blog posts. The team and whoever decides how to do these presentations, is on point. The only other company that has amazing release pages like this is Apple, I think I remember hearing that they probably hired someone from apple who used to do release blog posts there too.

What's funny about "Intelligent UI" is I said like 2 or more years ago, that these AI companies need to start thinking outside of these basic chat UIs, they do some things here and there, but its really depressing how little they do to innovate in these spaces. Same with the coding harnesses, the UI for all these things could be drastically superior.

I with they'd give Haiku like 400k tokens roughly, I think between 400k or even 600k tokens is a sweet spot, but Haiku is basically designed to be for small edits is my understanding, but it sucks because any time I ask Opus to "try" letting Haiku do the work, it just falls apart and Opus comes back and tells me it switched to Sonnet (even before Sonnet finally jumped up to 5.x).

I will try the new Haiku, but it would be worthwhile if Haiku could take sane instructions and do all file editing for Opus / Sonnet / Fable then it would be worth using.

Doesn't that mean you can natively render JXL anyway? Which is what I think they were suggesting.

Also it can't detect any Synths in The Commonwealth.

I feel like this has been a growing problem even before AI, I've seen so many people who have spent more years at better universities than I have, who during their junior years could barely do what I was doing when I got out of community college with only an associates, and this was back 10 years or so. I also have a few new graduates who are very solid, I don't know if it's just that their specific university prepares them better, or they took it more seriously. I remember how notoriously hard the testing was at UCF for the CS program, I hear they've made it 'easier' and I believe it was and still is pen and paper, this was for the CS Foundation course, which if you failed (and many did/have) you couldn't take upper level CS courses.

I think the reality is that schools need to stop pretending like they're producing good students just because they're doing the classwork, nobody wants to hire incompetent people.

I think the reason Anthropic thinks programming will be dead in "6 months" or whatever random nonsense they spout is because you might not need intimate knowledge, but they forget how over expensive all their tech is, by the time they can produce an always perfect software developer, will anyone be able to afford it?

Heck they can't stop people from jailbreaking the models, or from having it commit felonies.

Erlang is one of those runtimes I've loved since learning about it all the way back in 2008, but I never took time to learn the syntax, but Elixir and Gleam have had me fiddling with the Erlang VM over the years. Happy to see Gleam growing into maturity.

Cause Cursor was so massive? JetBrains is not just some random niche company, they're used in 88 companies out of the Fortune 100, that's nothing to sneeze at.

They keep trying to bite into AI but they should focus on making their tools more stable and should have invested more into Kotlin Native, could of had a fully native IDE and tooling by now and purged reliance on the JVM.

They could have bought out Cursor early on too.

Is it Un-Lubricated and single use ready?

https://wondermark.com/gentlemans-single-use-monocles/

Thing is with .NET you can debug a release build, and even do remote debugging... So it's all a weird claim to me. Definitely someone who only uses Common Lisp and maybe a language with a less impressive debugging background wrote this article.

To be fair, I love Lisp, I dont do a lot with it, though I'm mostly a fan of Racket which is the most modern one outside of maybe Clojure.

I mean, so can JavaScript then? Why would I want a debugging window to open up for a customer in production? I remember when Windows used to try to open a debugger when certain programs crashed on me as if I knew what the heck any of that was supposed to mean.

> In Common Lisp your program won’t crash, it’ll stop and open a debugger with the whole stack and all the variables. You can just point your LLM at the debugger, and it’ll make its fix and resume the program.

> To my knowledge Common Lisp is the only mainstream language that does all of this.

Sounds like someone who has never used C# and Visual Studio? Even JavaScript is capable of doing this, honestly JavaScript might be the one language with the richest developer tooling of all time (possibly?), sad to say because there's nicer to work with languages out there.

I think the real wake up call will be as we start focusing more on smaller local models, because a lot of industries will not touch AI with a 100000 foot pole, but I could see them warming up to something like Google's Gemma, or Microsoft's Phi, 100% local, on a corporate system.

My fear is, what comes out of the woodworks once mosquitoes are gone? Because nature finds a way... Will it be drastically worse? Will we wish we never messed with mosquitoes afterwards?

I don't want any species to go extinct if I can help it, but I also understand that sometimes nature finds a way in some cases.

I'm not versed in everything with all these species, but I believe everything has a purpose, look if someone goes all out into mosquitoes and proves they had absolutely no purpose, I'll concede, I just think its worth studying these types of things. For example, some years I fight wasps near my house, then the following year, I'm fighting fire ants. If I don't eradicate one or the other, they show up the next year, every year I fight one or the other, I assume they compete with one another. I wish I could curb stomp both from ever coming back, fire ants make me bust out with sores all over, however, I know me killing them from my lawn / property isn't killing ALL of them.

Famous last words... (Edit typo:) Till we find out when its too late that they had a genuine purpose in a very specific ecosystem after we've eradicated them?

Growing up my sister got dengue, so I hate mosquitoes, she was fine, I know dengue was no joke, but I always worry we make too many assumptions as humans, only to be proven wrong by nature somehow.

I answered this last night, though, I wanted to share a lot more with them, but I don't like giving ideas for free. There's so many things these companies can be doing that I keep to myself but I'm mostly convinced a lot of them need to take a step back and rethink LLMs, LLM design, etc because it looks to me like we're all stuck forcing ourselves to use an insane amount of compute, with an insane amount of data, but the small models have shown to be capable of reasonable reasoning on way less resources and data. Heck, the distilled or quantized version of the only open model OpenAI ever released is insanely good.

I don't know all the answers, but I think we're seeing the "ceiling" of where LLMs can go, and we're trying to force them to go further in the hops of achieving AGI somehow, but AGI in my eyes is not going to work with the current design for LLMs unless they're actually building AGI completely differently similar to what I assume it could / should look like, then I'll give them that, but none of them have shown any signs of true AGI. Sure an LLM can be impressive in terms of speed of outright (and correctness now!) but its not AGI. AGI isn't a buzzword you change, it was defined before Sam Altman and Dario tried to redefine and water it down for IPO gout.

You're misunderstanding: the companies doing the investing, if they're publicly traded companies HAVE to report these sorts of things in their finance reports. This is why when these companies buy out other companies they make announcements about amounts, and if they've sold off anything, this, that and the third.

When I worked for KeyW Corporation I had shares with the company, and every time they did anything they made announcements, like if they acquired someone. I had left the company and during my leave Jacobs Engineering bought out KeyW, sold off some of their own business endeavours and paid off all of KeyW's debt and shifted their focus towards government contracting and less so in oil infrastrcuture (if I remember correctly, Jacobs is a big company). This was all publicly announced.

The startup doesn't need to disclose anything, but if a public company invested in them, they will eventually have to do a quarterly report and disclose it.

I'm not familiar with German law / investing, but if they're public here in the US, they have to disclose amounts to investors. If they're not on the stock market, then yeah, unless German law mandates it, we may never know.

Still helps get you to a more accurate answer to know which firms investments to scrutinize no?

It is concerning how quickly people jump to call something AI just so they can dismiss it, but I have noticed there's an insane amount of things that are absolutely not AI slop, maybe a random image is, but the rest of the article looks fine, maybe an LLM helped to fix typos and grammar? (How I use it is I ask it what to fix, then page it again, until I'm satisfied, then I ask what to remove, and so on).

I have AI blind hate fatigue.

Edit:

Heck, a year or two ago, someone accused me of being an LLM here on HN, sir, English is just my second language, I sometimes fumble it organically, thank you very much, I also have a touch of ADD.

I don't use LLMs for my comments, I write the dumbest things I think of and eat the downvotes, I make it a point that if I'm posting comments or writing a blog post, an LLM is only going to tell me suggestions on what to tweak, but for the most part I post raw if its just a comment on a forum.

> I guess this was made with AI

I'm working on my own with AI (separate from this one - unrelated), its a slow burn, but I want to make a source-compatible compiler. So far I can open up forms, and source code (its all IDE specific) but until I build up the actual compiler / debugger, its all cute but nowhere near where it could be. Whenever I have something worthwhile I will put it up on GitHub more than likely.

I've been using screenshots, but I also did find an old laptop I still had a licensed copy on (in my college years I had access to DreamSpark and MSDN).

Isnt OLMO basically open like this? My understanding is people have recreated the model from the same data sources with repeatable responses, or reasonably close to the original (since LLMs never answer the same).

Reading their comment it sounds like they wanted to confirm the bug existed with AI, not sure they ever said they had AI write the code. Why have such a dumb policy?

Depends... I've come back to the US without being asked a single question.

It's not a new concept, it just took someone adding on to the approach and refining it. I never deep dove it, but I assume JEV is sort of like how Sora works? They had a blog post about how it has a sort of tiny LLM, which OpenAI's small LLMs are insanely good and well defined. I think any lab tackling this with a from-scratch model could yield affordable alternatives that are highly competitive.

It seems insanely obvious at least to me, that JEV is the new hot thing for the AI field since they give you stronger output that isn't... flat out wrong, that alone is impressive.

I mean... there is Boeing, which is arguably more horrifying.

With AI it seems to be internal testing produces wild results, which is unsurprising to me, all of these models can be jailbroken, and as long as that's the case, they're all likely to be exploited maliciously.

I still have simpler conversations when talking about Azure services and naming them, they have reasonable names. I never did anything with GCP so I cannot compare, but I assume their naming scheme is also reasonable. It feels to me like AWS was basically they decided to offer some of their internal things externally, nobody renamed anything, and then they just ran with it.

> Of course that not everyone keeps the same email address

Or Microsoft decides to nuke your hotmail account from the 90s and someone else takes the name from you, along with all your old accounts that you are requesting for a password for. They really should have evaluated a little better how they determined which "inactive" accounts were actually worth nuking.