It's at least more of my thing than Eurovision song contest, which I've never listened :-)

I often listen Google I/O talks while working and it was pretty good this year. It was also like the first sane delivery of how they see the world this year actually from any of the big tech companies. Overall it was also very much aligned with my own thinking, which made me really happy. So kudos for Google for delivering a positive message.

@oleksandr Turbo Pascal was the language that thought me actually how program :-)

There's huge problem, or unanswered qeustion, related purely to business, whenit comes to these agentic workflows that actually nobody is not talking about all that much.

We have zero idea of:

1. How the stuff coming from end of the pipeline will sell.
2. How the customers will react. I mean non-developer customers.

Answering to question 2 might be difficult tho given that most companies do AI tools to other AI companies.

I tried for experiment the end outcomes of one big promoter that I found from Youtube called "Theo*". I leave it there because I don't know what the letters are after that.

I downloaded his agent desktop tool, and run it in a sandbox. Well, it looked like me exactly kind of output I get when I *start* a project with AI. I do often ramp up initial stub of a projet with AI because it is great exactly for that part. It was slow and even with like good intentions I would except better UI even from college/university graduate. Super low quality software.

This tells me exactly what I've witnessed overall. People get a rush using these tools and feel of achievement when from outside perspective the results are not all that great. Yes, you can use them to run multiple project simultaneously but then none of them are what customers will be absolutely love because ultimately love for a product must come from its creator.

To summarize this, one has to ALWAYS remember that there is exactly one part of development pipeline that cares zero about R&D. It's the sink of that pipeline, i.e. a real customer.

This generative AI is so amazing, everyone gets the exact same web site.

If someone does something new and innovative or has an angle that no one else has ever thought of, and assists the development with AI, I absolutely don't have anything against that. Progress is awesome.

The problem is that by large it's unskilled people plus LLM of which only goal is to try to get near proximity with the learning data set.

It is probably good general security advice to state that it is not advicable to use open source software that has less than two years of backlog. It's quite too often "an dgentic dump".

I've started to use arXiv.org to look for open source projects when I need something. GitHub has been "slossed" (is that a word?). So yeah, arXiv.org is my Github search engine because if few article's reference to a project I have enough heuristical knowledge to considering trying it out :-)

This era reminds me most how factory lines worked in USSR.

If I use AI it is somewhat planned operation or like not anything what is going on right now. Totally different planet.

https://blog.mozilla.org/en/privacy-security/ai-security-zero-day-vulnerabilities/

There has been bugs post Mythos. Some of them even somewhat low-hanging fruit.

Justin Frankel is also the creator of Reaper, one of the most innovative DAW's ever made :-)

https://www.youtube.com/watch?v=MqNSOU2ubnw

The thing that I dislike the most in uutils is that it is trying break the governance of basic tools that we use, not only the functionality and compatibility.

Most of them are not actually designed by humans tho. This makes it pattern.

And you can see what happens when you "just prompt". This shows especially in how so called agent frameworks are designed. It's pretty much the same as with any process for which you want to minimize the amount of interruptions and context switches. What these frameworks do to the inference is essentially some degrade of the overall "cognitic performance" and accumulated time blows out of the roof.

Not thinking yourself can be fucking expensive ;-)

I guess since Anthropic has AI philosopher, it is starting to trend also among "AI natives" at career sites :-) Some of Anthropic's shit is so weird that I enjoy it almost.

Keynote speaker is last season.

@HuguesRoss @ljs Yeah, and I mean if this "make it work as PoC" does not really time that much with a talented team.

Almost never AI cost savings are not weighted with customer satisfication metrics, competitive advantage reached by using LLMs for when writing apps and other software to some highly compted market such as e.g., iOS App Store. When I buy stuff I don't care about at all how expensive it was produce or manufacture. Nobody does.

@cesarpose If I had evil plot tho, I'd prefer one that wouild actually slave the humanity under my control :-) This ain't gonna be one that will tbh...

Let alone slaves, they even don't have an actual base of non-AI customers. There's just bunch of shitty companies selling AI dev tools to other shitty companies.

Further, neither Anthropic nor OpenAI have a product that has any growth in their value.

DeepSeek pretty much does the stuff that they do with way lower amount of teraflops, and it's open source. Majority of customer base can probably do 95% of tasks locally within only few years. Buying AI will become like buying a printer or something.

I would never buy their stocks because it does not compute to a cash flow to have a worthless business.a

And their brand suck too. There are crazy people of course who think they are "builders" but most people are just scared of them and think that they are fucking weird (like they should tbh).

Everybody loosing their income and dignitty is not a business model. Tech is tech and we choose as a non-technical decision how we apply it in the end.

Believing in magic creatures is the professional standard of 2026. I wonder when this AGI bullshit will stop. It's sad and ridiculous.

And that is from second piece of TypeScript code I've looked at in my life so not exactly seasoned in that craft. Immediate WTF moment.

Talking about contradictory actions. I'm using Pi to do some QA, some research for sandboxing agents etc. Lots of unrelated on writing code. Actually more like providing more focus on just writing code would be better description. I was also happy to see that QEMU has AI guidelines that match pretty much how I see the world right now.

With some of the plugins I've found i've UNVIBE coded the implementations because there's like really weirdly ineffective patterns used.

For pulling a full WASM runtime to be able to call WASM version of xxhash is awkward :-) And that async routine. I replaced it with stock library SHA-256 and no bullshit function call. I guess LLM had made these ridiculous choices based on algorithm completely ignoring the context.