tecoholic

Along this line of thought. I think the "internal tools" product category is dead. I remember trying to deploy one of these things - Tooljet, Retool.. I can't remember exactly, and thinking, maintaining the stack and the tools is not worth the effort. But then I didn't work in a big enterprise company. So maybe others had a reason or manpower to maintain them. Now I doubt anyone wants a programmable drag and drop form builder - aka no-code/low-code software factory.

He should be, right? Not fair but that’s how liability works. Gym sues the guy using AI, the guy then sues the AI company for selling him a product that does criminal things without him asking to? Like a car accident where car owner pays for the damages and after multiple accidents involving the same break-pedal, car company pays damages to owners and does a recall or faces class action?

Seeing Nix these days is such a whiplash experience. We have fully deterministic systems and then we have LLMs. God ;)

Let me share 2 words - Doom Emacs, Spacemacs.

I am with you. For example - this post has a comparison of a recipe app from 5.6 and 6 for comparison. They look different. Now if every time I ask for a recipe, it decides to render a new UI because of either the model changing or the recipe goes from stove to oven or something, it’s going to become annoying very quickly. It just seems like he current generation of models have been tuned to create better UIs than previous one and people interested in the UI are getting hit with excitement.

One thing I don’t get about “personal software” is - why would you want something photoshop shaped, when you can describe what your image should look like? Most common issue - passport photos with specific background requirements and aspect ratios. Just take a photo on your phone, ask Gemini to meet the specs - you are done.

Wow. This is genuinely the first time I have come across this idea. Are there Kernels build to be completely async? I understand they would be experimental. And the whole stack runs in a async environment from say the web server rendering templates - down to the kernel loading data into the cpu cache? Does it offer performance advantages? I got so many questions…

There was a Jon Stewart podcast on this a couple of weeks ago on Machine Learning and custom pricing. It was an illuminating one. It all looks like a lead up to big consumer action and lawsuit in the future. TBH, McDonald’s pricing might survive as it seems to charge the same for everyone at the same store.

Go to gnome.org, scroll down to "Developer Platform" and look at the title bar of the screenshot there. If you see a clean interface, then no reason other people give you will help.

But, if you do see the arrows there and think - why are there so many arrows and dots? It looks like bad UX. They you can see the issues others are talking about.

Short answer is GitOps. Other reasons include ghost services in nomad, random CSI volume lock-ups (which might just be AWS's fault), lack of deployment options for self-hosting 3rd party applications. K8s Helm charts are available for everything and ArgoCD visibility with SSO makes everything easy to see.

I think you are right. The memory of an empty claude.ai session is more than Slack in my browser right now. Just trading places.

Great! Now can you also optimize the memory usage please?

The blog post with all of the images, animations and embeds shows 167MB on my Firefox tab, while a plain claude.ai page is 297MB. For a text box with a few icons and some words, it a heck a lot of bloat.

For context, my Slack tab with "Threads" open is 239MB. Yup, Slack of all things is using less memory than a zero-chat Claude.ai landing page.

Similar to what others have said, we have had big changes in our systems, thanks to LLMs. Some examples of what we have done:

  - Rewrote a data extraction and PDF bounding box algorithm - LLM provided the tooling to visualize the output of algorithm and find the right rules for our needs.
  - Migrated an old SciBERT model that was bundled into a 6GB docker container that needed GPU, with to an ONNX based inference container about 900MB running on CPU.
  - Setup a K3S cluster to replace our Nomad cluster.
  - Optimized an algorithm that used SQLite with better indexes and optimized querying with some 60-80% performance gains.

We have reduce resource usage in specific areas of the application drastically. These were all possible before, but LLMs provided the tooling to iterate and deliver it in time and cost that seemed prohibitive before.

Now are the end users going to see the benefit and is the product magically better? Well no. The chicken answer is I am not involved in that side to know. But a more realistic answer is, user experience and product fit is not something LLMs can solve. That's still upto the humans to figure out and I think that's where this "nothing has improved" feeling comes from.

Amazed and horrified at the same time.

Wow. Somehow I feel my software creds just went by a notch by the mere existence of these files.

    One of the thorniest conversions was the session.ts file, which was over 30,000 lines of TypeScript that touched all aspects of the runtime.

This can’t be real. Single file with 30K lines? Which human being is working on it and how much RAM does it take for a code editor to load that with full symbol tree? I am genuinely curious. Is this common? I think most files I come across stretch to maybe 2-3k lines max.

Haven’t Australians just moved to US - Keith Urban, Chris Hemsworth, Russel Crowe, Nicole Kidman, Margot Robbie and the list goes on … it’s not the same way as Japanese’s or Korean output, because English as the native language makes the transition seamless and doesn’t stand out.

Oh! I forgot JIRA and Atlassian are Australian too :D Now you really can’t deny you haven’t felt the Australian influence in your life. Lol

I am going to say the question is the wrong way to look at this. People behave differently in different situations. While I am very conflicted like the GP about this specific case. I don’t think it’s as simple as - don’t do anything you won’t do in a human driven cab, and if you do those things, then calling cops should be acceptable.

I have come to the conclusion recently after trying to use computers as a hobby for years. Hobby coding, games, shows … anything with a screen just doesn’t provide the relief I need. Just takes a lot of time and leaves with a feeling of exhaustion

I think they are smart enough to take advantage of things. Hard work or not doesn’t matter. For example, assessing that their home in California is worth way more than they make out of it and seeking out a cheaper place to convert that “luck” into profit is definitely their smarts and not privilege.

I think they are more lucky than privileged. Multiple IPO stock options, both well educated and high paying jobs and shared interests. They seem to have hit right timings multiple times. Things compound.

Are my eyes deceiving me or is Mapbox not participating as an event sponsor? It's been a while, but wasn't mapbox's existence completely relied on OSM?

Fair point. I might be misreading based on my hopes :/

The reliance on Deepseek and Kimi as the benchmarks from every chip maker from NVIDIA to OpenAI is a good tell of where things are heading. In the next couple of years, hopefully we will have systems at home for everyday use and corporations can buy bulk from providers.

The Old-guard is a good alternative to greybeards, no?

> gemini 3.7 is great for speed. everyone is sleeping on it

Is this Gemini 3.7 Flash by any chance? Then - No. Not sleeping on it. It’s just not good.

I had a Python package build fail this week due to an unpinned dependency. Gave it to Gemini spent 5-7mins before I noticed it going off in some tangent. Reran with Claude Opus 4.8 - fixed in under a minute.

I know anecdata of one. But something like this has happened every time I test a new model from Google.

Pretty much my baseline as well. Good example how experiences shape our thinking.

That’s so cool.

It’s funny what “tiny” means for different people depending on their background. I expected it to be under an MB as well and was surprised by 6MB.

There is an episode in Elementary that involves the Horseshoe, its extraction and conservation. It is just a regular episode, but the visual presentation of the extraction was fascinating. I hope they are real. :)