totalhack

Gemini 3.7 may have fast token output but holy cow does it waste it on useless output. Several times now I've given it a shot and watched it's reasoning trace go through a bunch of unnecessary / off-target steps relative to what I asked. Don't have this issue with 5.6 models. MAI Code 1.1 is also solid and fast for non-complex tasks.

What is the latency you are seeing with 5.4 no reasoning? And where have you landed for stt and tts solutions?

The tiring part for me is the waiting and/or context switching to fill that time. When agents of this intelligence or better can get you results in seconds instead of minutes we can start thinking single threaded again and it will be more enjoyable.

If you are talking about the Copilot built into vs code, that's not been my recent experience at all. Very capable in agent mode since gpt 5.4 came out.

It's optional, and that's great, because its necessity or benefit is situational.

Agree with this, though I've mostly been using Gemini CLI. Some of the simplest things, like applying a small diff, take many minutes as it loses track of the current file state and takes minutes to figure it out or fail entirely.

I use markdown files in vs code. Supports folding of sections, combined with a few keyword/char patterns that I highlight different colors. Also get code highlighting in properly labeled code sections.

Did you find out what service he was using?

Well, pretty much everyone is less valuable than they think!

I've bootstrapped and sold two startups, first time with 5 (!) equal cofounders and second time with 3. I've learned a lot along the way, obviously some of that through mistakes of my own. Have my cofounders been perfect? Heck no -- one lacks the same level of drive, the other is less trustworthy (always multiple irons in the fire kinda guy). But we all have strengths, are all generally better off together, and have the combined skill set to run super lean. Even if you think you can do some things better alone, you can never do it all, and that grind will take quite a toll.

Related: over the years the topic of going into business with some of my best friends has come up, and I always say I would never do that. Running a fast-moving, high stakes business with multiple founders involves a lot of tough conversations and occasional relationship strain. My business partners are business partners first, friends second, and I think that's important to consider if you really value a friendship.

I just went through this process and ended up getting the HP Omnibook Ultra Flip with a core 7 258v, running Ubuntu 24.10. Performance is excellent, battery life is the best I've ever had on an Intel running Linux. If you truly need more RAM than 32 GB it won't be an option though.

The air or an mb pro seems so nice until I remember the sting of dealing with the dev environment and docker on a Mac compared to Linux. No amount of battery life or marginal jump in performance (which gets lost through needed virtualization) will make up for that for me.

You are doing a lot of the work a semantic layer would do for you. I wonder if you would have better luck having the LLM talk to a semantic layer instead of directly to the database.

This is slightly less interesting now that I can have AI remember bash script syntax for me.

Happy to see them announce the new AMD chips in the 13", but the prices are a little nuts compared to what you can get elsewhere.

I bet the desktop is interesting, but first I was in a 30m waiting room to access their website (what?!?) and then the button to pre order the desktop is broken. Ouch.

The constant struggle is the lagging support for the best hardware. Unless you want to buy a machine from a dedicated Linux shop (framework, System76, tuxedo), you are taking a risk buying anything remotely new without a lot of research into the hardware and hunting for posts about people who have had success. Those dedicated Linux shops are usually at least a generation behind too. It doesn't help that architectures are evolving rapidly in response to Apple's chips (not a bad thing long term).

Just bought an HP omnibook flip with an Intel 258v. From what I've read I expect most things to work, or work soon with kernel updates. All applications I care about work well. Would be nice to see OpenAI make a desktop app for Linux, or some other open source equivalent.