tymonPartyLate

Joined 3 years ago

Karma
88
Submissions
24
Member since
Feb 26
CTO gralio.ai https://x.com/tymonPartyLate
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Recent submissions

Comment · 4 months ago
This post is clearly an ad disguised as a technical article, but Conductor is a fantastic tool, so I'd like to post some questions regardless. How can they have product-market fit if this is a free product? How can they know the customers' willingness to pay for it there are no payments? Or has it been tested? How can this be worth a $ 22M series A if its a UX layer on top of Claude that can be easily copied by Anthropic?
Comment · 8 months ago
I try to see this like F1 racing. Building a browser or a C compiler with agent swarms is disconnected from the reality of normal software projects. In normal projects the requirements are not full understood upfront and you learn and adapt and change as you make progress. But the innovations from professional racing result in better cars for everyone. We'll probably get better dev tools and better coding agents thanks to those experiments.
Comment · 9 months ago
The worst crime for me is liquid glass on the apple watch. All the menus are now lagging on the watch ultra gen2. Where previously it was smooth to interact with, the random lags now make it annoying and inconvenient to interact with. (I need to focus my attention on the Ui state instead of following an automatic procedure from muscle memory)

The battery sometimes randomly drains within less than a day. There are absolutely no benefits of the new visual effects.

The watch was my favorite apple device because it helps me to reduce screen time on the phone. Now it is a source of anger.

Comment · 10 months ago
The biggest threats to innovation are the giants with the deepest pockets. Only 5% of chatgpt traffic is paid, 95% is given for free. Gemini cli for developers has a generous free tier. It is easy to get Gemini credits for free for startups. They can afford to dump for a long time until the smaller players starve. How do you compete with that as a small lab? How do you get users when bigger models are free? At least the chinese labs are scrappy and determined. They are the small David IMO.
Comment · 1 year ago
If you want reliable Wifi at home, get yourself Ubiquity access points and throw away TP-Link. The issue is not the protocol. After many years of unplugging and plugging back in my TP-link router I know that they are cursed.
Comment · 1 year ago
Interesting tech choices. I am also always on the hunt for React alternatives. But the lack of type safety and static analysis usually leads to brittle templates. Stuff that could be expressed in verifiable code, is compressed in annotations and some custom markup. You need to manually re-test all templates when you make any change in the models. How do you deal with that?

Btw, very cool project. Deployments for simple projects are a huge time sink.

Comment · 1 year ago
I did just that and I ended up horribly regretting it. The project had to be coded in Rust, which I kind of understand but never worked with. Drunk on AI hype, I gave it step by step tasks and watched it produce the code. The first warning sign was that the code never compiled at the first attempt, but I ignored this, being mesmerized by the magic of the experience. Long story short, it gave me quick initial results despite my language handicap. But the project quickly turned into an overly complex, hard to navigate, brittle mess. I ended up reading the Rust in Action book and spending two weeks cleaning and simplifying the code. I had to learn how to configure the entire tool chain, understand various cargo deps and the ecosystem, setup ci/cd from scratch, .... There is no way around that.

It was Claude Code Opus 4.1 instead of Codex but IMO the differences are negligible.

Comment · 1 year ago
We used to have private bridges and private roads, and that was an expensive travel situation for everyone. Now, internet search is kind of like a bridge that leads clients to businesses and Google is deciding on the tolls. Government-controlled Internet search would definitely be horrible. But I'm thinking if there is a path towards more competitiveness in this landscape, maybe the ISPs could somehow provide free search as part of the Internet service fee? Can we have more specialized, niche search engines? Can governments be asked to break up the Google search monopoly?
Comment · 1 year ago
Thanks for sharing, I'll copy your rules :)
Comment · 1 year ago
I just realized that Opus 4 is the first model that produced "beautiful" code for me. Code that is simple, easy to read, not polluted with comments, no unnecessary crap, just pretty, clean and functional. I had my first "wow" moment with it in a while. That being said it occasionally does something absolutely stupid. Like completely dumb. And when I ask it "why did you do this stupid thing", it replies "oh yeah, you're right, this is super wrong, here is an actual working, smart solution" (proceeds to create brilliant code)

I do not understand how those machines work.

Comment · 1 year ago
This is actually not true. I'm getting traffic from ChatGpt and Perplexity to my website which is fairly new, just launched a few months ago. Our pages rarely rank in the top 4, but the AI answer engines mange to find them anyways. And I'm talking about traffic with UTM params / referrals from chatgpt, not their scraper bots.
Comment · 1 year ago
I asked it once to simplify code it had written and it refused. The code it wrote was ok but unnecessary in my view.

Claude 3.7: > I understand the desire to simplify, but using a text array for .... might create more problems than it solves. Here's why I recommend keeping the relational approach: ( list of okay reasons ) > However, I strongly agree with adding ..... to the model. Let's implement that change.

I was kind of shocked by the display of opinions. HAL vibes.

Comment · 1 year ago
Haha. Hopefully you’re right and solving the ARC puzzle translates to solving all of physics. I just remain skeptical about the OpenAI hype. They have a track record of exaggerating the significance of their releases and their impact on humanity.
Comment · 1 year ago
Isn’t this like a brute force approach? Given it costs $ 3000 per task, thats like 600 GPU hours (h100 at Azure) In that amount of time the model can generate millions of chains of thoughts and then spend hours reviewing them or even testing them out one by one. Kind of like trying until something sticks and that happens to solve 80% of ARC. I feel like reasoning works differently in my brain. ;)

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