cmenge

Seems like they just threw this at gpt with no system prompt at all? I mean, gpt-4o really isn't a strong model these days, but certainly the answer will not be very useful without a good prompt that hopefully an app designed around actual therapy would come with...

With a good system prompt, a modern LLM tends to be much, much better than that.

The typical use case of an API is not that you personally use it. I have hundreds of clients all go through my API key, and in most cases they themselves are companies who have n clients.

Yeah, one fatality for every 7.4m miles vs. 0.9m when driven by humans

Haha lol yes indeed :)

Agree, and for the people who implement them -- yes, it's hard, it's annoying but presumably a well-paid job. And for the (somewhat established or well-financed) companies it's also a bit of a welcome moat I guess.

From my experience with execs and especially politicians, their understanding of "cloud" is very much focused on the data centers / hardware, i.e. a bit of an "early cloud" understanding where the main idea is to 1) improve utilization and 2) turn capex into opex.

In practice, "clouds" are more about the hundreds of battle-tested services that are trivial to deploy and easy to integrate. Want a K8s cluster? Sure, we'll give you a control plane for free. A few TB of storage? Here you go. A message queue? Done. Authorization between them? Sure, built-in. These services combined have probably billions of lines of code and have been used for things from the most trivial little fun app with almost no users to systems with massive load. That's what sets them apart and makes them so useful.

The hyperscalers have probably invested multiple trillion dollars into their clouds by now, yet it seems the EU keeps believing a EUR 10m bureaucracy project will put them in the same league.

And the biggest joke is: certain government projects force you into local providers whose software stack comes from ... Huawei... lol

Are those startups side projects, or would you want to run personal projects on top of those two startups in parallel? Are they making money?

Working on a few 'vertical' AI apps that hopefully can bring those real productivity gains everyone is hoping for to some narrow areas:

TenderStrike (https://www.tenderstrike.com) - AI for tenders in the construction industry. Fascinating how large and complex a tender can be, and how many there are. LLMs can be super helpful here, but there are many challenging parts to it.

Optivise (https://www.optivise.io) - product data optimization and translation using AI. We're focusing on a niche here, helping customers to onboard onto Mirakl-powered marketplaces, but hoping to expand to other marketplaces soon. I have spent the last years before that deep down the trenches of product data management and the traditional approach isn't fun :)

Mostly on an AI-based tender analysis tool which is focused on the construction industry, https://www.tenderstrike.com

It's a pretty specific niche with interesting challenges like massively varying project sizes (ranging from a few pages to 20,000+ documents), a high importance of graphs / charts, and very different extraction tasks (from more qualitative analysis to quantitative, exhaustive lists which is still a pain point).

Built most of the pipeline by hand, mostly because I started this earlier than many RAG tools came out, but I am glad I did because we needed a bunch of adjustments and changes that might have been hard with something ready-made.

Lol, I added a todo yesterday: "find or build good image cropper, ideally gl based" ;)

Guess the search might be over, thanks!

When Worms came out in '95, I had a feeling there was something deeper, more profound to it, but I couldn't tell what it was.

Now it all finally makes sense!

> I took the base distilbert model

I read "the base Dilbert model", all sorts of weird ideas going through my head, concluded I should re-read and made the same mistake again XD

Guess I better take a break and go for a walk now...

This list seems very wrong. The US is overrepresented given its relatively short history. The number of breweries in Europe that are older than the US is probably over 100.

While there are a lot of tricky questions around the exact definition, I feel this Wikipedia list seems more believable: https://en.wikipedia.org/wiki/List_of_oldest_companies

I had to learn this the hard way when a React app I built showed random crashes I couldn't explain.

"Fortunately" it also auto-translated the "I happily accept the terms of use" checkbox in one case into (back-translated) "I happily dying die perish", which also couldn't be clicked. That lead to a very high priority ticket and made us realize that all DOM manipulators might break the site.

Thank you! This is the only non-vague answer, as it directly addresses the use-case.

If only I had known this in my last corporate role where this discussion alone cost us weeks :/

"Roughly", "regular business things" etc.

Sounds vague to me, which was the original point.

Where do the 14/30 days come from?

I wasn't aware of that, interesting, thanks.

Light temperature is one thing, but the spectrum is very different (which is essentially how it saves energy, almost all radiation emitted is a narrow band of visible light whereas an incandescent lamp produces a blackbody spectrum with a lot of radiation emitted in the infrared).

Also I notice a lot of color banding (not sure if that's the right term) with many cheap LEDs. I observe the same or at least a very similar phenomenon when watching DLP cinema projections.

"Bad for the environment" is relative.

The problem here is that they tell you: - We're building renewables which deliver super clean and cheap energy - CO2 is the root of all evil

Then, they force you to use an LED which uses less energy (which is clean and cheap, no?) but contains a lot more chemicals and rare earths, so in a number of ways seems less "environmentally friendly". This seems contradictory and half-assed.

Sounds interesting, what stops you from (re-)launching it?

Interesting, did you pivot / change the target market? $5 sounds more like a consumer product but $50k likely isn't (unless you literally progressed from skateboards to cars like every Agile cartoon wants to make us believe)...

Among other things, I'm working on an elephant hunter type product. Took us five months, but the first invoices were $7k, $3k and now $45k but that doesn't prove much yet.

That's an LED though.

I understood he was referring to incandescent light bulbs, which have been largely regulated out of the market. So you now need to get an "Edison light bulb" which circumvenes regulation but costs significantly more.

I'm not sure where "here" is and who you think you speak for, but as a European, I am strictly against regulation, in particular vague regulation made by non-elected EU bureaucrats. And no, freedom of speech and a discussion about the pros and cons is also not "unacceptable". It is part of the democratic process.

So in essence, it disallows logging IP address for any purpose, be it security, debugging, rate-limiting etc. because you can't give consent in advance for this, and no other sentence in Art. 6.1 applies.

Moreover, to reason about this, one also needs to take into account Art 6.2 which means there might be an additional 27 laws you need to find and understand.

Note, however, that recital 30 which you quoted is explicitly NOT referenced by Art. 6, at least according to this inofficial site: https://gdpr-info.eu/art-6-gdpr/

This particular case might be solved through hashing, but then there are only 4.2bn IPs so easy to try out all hashes. Or maybe it's only OK with IPv6?

I find this vague or at least hard to reconcile with technical everyday reality, and doing it well can take enormous amounts of time and money that are not spent on advancing anything of value.

Impressive, congrats!

Well, they can afford it...

I wonder how long it will take though for oil demand to go down significantly.

Most countries don't have access to as much cheap and clean electricity, so it makes less sense both economically and ecologically for them.

Not exactly a new idea, but as a fun side project, I built an AI photo generator (i.e., an SD/FLUX wrapper) https://www.photovortex.com which has crossed $500MRR last month.

I also just launched a spin-off of it, https://www.portrayya.com which is more focused on generating a set of portraits of a single person (i.e. headshots for linkedin etc.) instead of prompting individual images.

Overall this is a very crowded space now because it's so easy to build, but there is still a learning curve around landing page design, conversion, ads etc. and potentially some niches to explore.

Working on my prompt management tool, https://www.promptshuttle.com, but I guess the idea is dead in the water at this point.

It seems people don't really have a need for managing prompts outside the code https://x.com/cmenge/status/1830534838681485728

Also, proxying for larger co's requires certifications etc., plus stellar 24/7 operations, making this a less-than-ideal side project. I might add some content indexing + RAG features, but also not exactly a new idea...

Built yet another AI photographer site, https://www.photovortex.com

Crowded space, but I have a couple of fun ideas I want to try and dabble more in the marketing + sales aspect of things, plus it's super fun to build

Interesting. I built a recurring billing startup and was always wondering how Stripe dealt with those edge cases...

As a note, I watched the video, the company name does become visible at least twice, once from 6:33 in the header pane and URL and also at the very beginning (Company Insights pane -> below "Powered by AI" the AI repeats the company name)