mrinterweb

Rails needs hard break from DHH. He has been toxic for the rails community for a long time. I sincerely appreciate his many contributions to rails, and his shaping of rails, but it is beyond time to cut ties. He's clearly not interested in rails any longer.

DHH founded Rails World (as far as I know). What a wonderful way to tell the whole community to F'off than to sell tickets to your conference then tell them not to use the technology. If DHH wants to vibe code everything in rust/assembly or whatever claude tells him to do, let DHH do his own thing, and let's part ways.

If inference continues toward the trend of becoming a commodity, and inference hardware efficiency is doubling every two years, that will likely mean that the price of inference will continue to fall so long as the market is competitive. I don't see how companies investing billions in inference hardware today will see profit in the lifespan of the hardware.

One aspect I am bothered by is how all writing style is becoming homogenized. Individual writing "voice" is becoming one collective AI voice.

I hope Apple contributes to an open standard for this, instead of keeping this proprietary. In the emerging world of generative AI, we need this more than ever. Not just iPhone, but ideally most camera systems will have some kind of verifiable capture mode.

The timing of the AI doom narrative could not come as a more suspect time. Chinese labs are releasing open models that are nipping at the heals of the frontier models. Anthropic and OpenAI know these frontier class open weight models can threaten their valuations by changing inference to a commodity where the provider who can serve the best models the cheapest and fastest will win. Few are going to pay $50/million tokens when they could pay <$1/million tokens for similar outcomes. There's little hope investors could recoup the wild investments made into Anthropic and OpenAI, IMO.

The benchmark comparison to other models was suspiciously missing. The self-comparison is a good representation of progress, but it is light years behind frontier models. Speed is great, but wrong is much worse than slow, IMO.

> triggered memories

Yeah of 10 minutes ago. It is shocking how long some seemingly simple things can take. I know there are some things I can do faster than the LLM and some things it can do faster than me. The amount of rambling BS is the exhausting part.

I think lithium air batteries will be the real inflection point for aeronautics. Li-air has potential density 12 kWh/kg. CATL is focused on this tech. May be some years before they are able to achieve the full potential density. Still, as the other commenters said, the efficiency of electricity make make up that difference.

I saw the version of this video with Paul Rudd (Celery Man) https://youtu.be/a8K6QUPmv8Q?si=TWmoNhxYAPp73TKg

I'm really curious how GML-5.3-flash would do. Very affordable, and it seems to do pretty well with 3D modeling.

That's wonderful. I was going off an older version of the Artificial Analysis page for GLM-5.3-Flash https://artificialanalysis.ai/models/glm-5-3-flash. The page is updated now to show that it does support multi-modal image inputs.

I really wish GLM models had vision capabilities. I've worked around that in the past to use a vision MCP in my harness that GLM can call. It is not the same, but it allows the model to query images.

Give it a couple days, and there will be plenty of other inference companies hosting it. Don't like z.ai's TOS? Use the model on a provider with TOS that you agree with.

The pain points in the article do not bother me. I'm bothered by Opus 5's verbosity. It is so long-winded and you have to read through verbose outputs to mentally distill what is important. It is exhausting. I don't think I've ever started skim reading LLM output more that I do with Opus 5. I use the caveman skill, and I think that does help some.

Exactly. There could be a lot of value for inference companies to do this. Could save a lot of money being able to hand off highly repetitive known tasks to far smaller specialized models.

There is so much opportunity for purpose built models like this. Ideally a harness should spin up a subagent to offload to targeted models for specific tasks like this. I know this is not a novel idea. Claude code does some of this by handing off the "explore" agent work to haiku. I just love seeing that specialized LLMs are being developed.

This looks fantastic for a common async workflow I use. I often use one job to fan out multiple individual http request jobs. The reason I prefer jobs for this is easy and consistent retry logic, and durability. I want to make sure those HTTP requests eventually go through. Fibers would be much better suited for this. So much of work that goes onto work queues is IO bound, and fibers are a great fit for that.

That ruby fiber vs go goroutine benchmark is interesting. The 4-10x memory use doesn't surprise me, but the near performance does. I'm guessing there is more of a gap with the p50.

Look at robotics demonstrations on YouTube from one or two years ago, and compare that to where we are today. It seems reasonable to me that general purpose robotics may be able to outmaneuver your average human in a few years. At least one robot has surpassed what I could do https://www.youtube.com/watch?v=Xha2TJ_1C6Q

Two that I use are:

* Openrouter.ai for a hosted router

* https://github.com/diegosouzapw/OmniRoute for a local router

The don't only host open weight models. Also, why not promote this. If Fireworks thinks this big news might convert some new business doesn't make it not true.

Open weight models are much more auditable than closed models, but could still hide backdoors that could be near impossible to detect.

Undercutting US dominance in AI is huge for China. If the entire narrative is that you have to use Anthropic or OpenAI to access a decent model, then China's AI labs are sitting on the sidelines as some third rate solutions. China publishing the model weights of models comparable to the frontier proprietary models drastically undercuts closed labs dominance. Maybe these Chinese AI labs don't have the billions infrastructures some of the US players do, but they don't have to if the model is open weight. Many inference provider companies around the world have hardware that can run these models and they will happily run frontier class models for people. Starting in 7 days, people will have the option of which of many providers they want to use to access K3.

Making frontier grade models a commodity will make a competitive market where companies compete for business by improving their quality and decreasing their prices. The cost to access frontier grade models will continue be driven down the more competition that enters the market. This commoditization will challenge the valuations of Anthropic and OpenAI.

As soon as the K3 weights are published on July 27th, there will be many US providers hosting the model. I realize model hosting doesn't really apply to kimi work specifically, but in terms of accessing K3, there will be US options likely in 7 days. Just look at OpenRouter to see the providers hosting K2.6 https://openrouter.ai/moonshotai/kimi-k2.6.

I really don't want harness lock-in. I am trying to decouple myself from Claude Code now. I love the model of OpenRouter and being able to switch models at will let's your harness focus on your personal tooling and you can easily switch to the flavor of the month LLM with a single slash command instead of rewiring your entire workflow to use a harness to use a model.

I like Cerabras, but I really wish they would make more of their hosted models generally available.

I'm a big fan of local models, and moving inference from the cloud to local machines is great, but there's a couple potential problems with this. LLMs take significant (V)RAM resources to run (which is in short supply on consumer hardware), and we don't know that Google won't send local conversation logs to their own servers (kind of surprised if they don't). So if you think you're having a private local conversation in Chrome, I wouldn't be so sure.

PC gaming on linux these days is joy these days. The main games you're likely to struggle with are games that require some windows kernel level anti-cheat software running, so some online multi-player will not be playable for that reason. Proton, wine, and the ecosystem have evolved a lot in the last couple years to the point that I'm surprised when a game can not run on linux. Occasionally, you need to look at https://www.protondb.com/ to see if there is some startup option that needs to be added to get the game to run. If you're into single player games, Linux is generally a really solid choice.

I few months ago, I backed up my windows gaming machine and overwrote the partition with CachyOS. Haven't looked back. Gaming performance and compatibility has exceeded my expectations. Just a much better experience overall. I feel sorry anytime I see someone using Windows.

I have a lot of hope for local AI. Local model intelligence has come so far from where it was just a few years ago. It is about a model's intelligence density now for local AI. Models like Qwen 3.6 are truly capable. Sure Qwen 3.6 isn't SOA, but it certainly can do many daily tasks. Even if the AI isn't running locally, hosted GLM 5.2 is in the same ballpark as Opus 4.8, and you can choose your provider.

I would wager frontier LLM achievements will plateau, and open-weight models will catch up. Then OpenAI and Anthropic will have significantly less value prop. It is hard to say when that may happen. People regard open-weight models about 4-10 months behind frontier models, so its not like those using open-weight models need to wait long to catch up.

The biggest concern is identifying "who". If the US government says only US citizens can access a model, how do they enforce that. Anthropic and OpenAI will use Persona (a company funded by Peter Thiel) to verify user identity. Verifying your identity with a government ID and linking that to AI is the dream of a surveillance state. Agents running on your computer, accessing your internet accounts, access to your personal conversations with AI, and accessible by the government is just wild.

I'm hoping this is a call to action for local AI.