Tim Jones

Software Engineer

[Tim Jones @timjones_dev]

@IroncladDev And this is why Brave is so popular

[Tim Jones @timjones_dev]

@JoshuaBarzon Lol, K is a steal. Alaska, Hawaii, southern Arizona and northwest Mexico!

[Tim Jones @timjones_dev]

Why yes, I am trying to use all my usage before it resets. How could you tell?

[Tim Jones @timjones_dev]

@erikrjohansson Work somewhere you can use this!

[Tim Jones @timjones_dev]

I don't really remember 9/11. But watching it all unfold through this account today gives me a taste of what is was like. Unreal

[2001 Live @25YearsAgoLive]

A SECOND PLANE HAS HIT THE SECOND TOWER - AMERICA IS UNDER ATTACK

[Tim Jones @timjones_dev]

@cursor_ai Impeccable timing

[Tim Jones @timjones_dev]

@IroncladDev NixOS is cool, but the community makes the Rust community look tame

[Tim Jones @timjones_dev]

@dhh This sort of thing is why I'm on omarchy. Incredible work guys!

[Tim Jones @timjones_dev]

@hunvreus To say nothing of the xai/cursor marriage

[Tim Jones @timjones_dev]

@anothercohen This, but it's kimi

[Tim Jones @timjones_dev]

grok just make a simple project management cli for me.
I had a working cli in like 10-15 minutes! Incredible speed for this level of quality!

https://t.co/lR3e7yO2j5

[Tim Jones @timjones_dev]

@awesomekling Very true. Based on all the side projects I made then abandoned

[Tim Jones @timjones_dev]

@dhh Love how accessible Linux customization is now with AI!

[Tim Jones @timjones_dev]

@all__hype He's been cluing us in for awhile - obviously it will be Toyota Landcruiser themed somehow

[Tim Jones @timjones_dev]

Didn't Microsoft make similar claims about open source software 25-30 years ago?

[Dean W. Ball @deanwball]

Some observations on Kimi:

1. It's a very good model! I don't think its performance can be explained away by distillation or anything like that. In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026. In my fairly limited use, it also seemed very token hungry. It's not obvious to me that this model is actually that cheap to run.

2. I am personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks. To be clear, I *myself* might be fine with models presenting this level of marginal risk being open weight, but I am surprised that China is fine with it. I suspect the reason they are is 75% explained by strategic blindness/lack of AGI-pilledness (the CCP is very Yann Lecun-y in its views of AI). The other 25% or so is their lack of compute for customer inference (making China's open-weight strategy an unintended byproduct of US export controls) and the normal Chinese strategy of aggressive exports. For the companies, as opposed to the government, the decision to open source is partially ideological and partially because they are behind, and they know that very few people would pay for sub-frontier models from China.

3. Open-weight models are inherently decelerationist, and I'm continually surprised to see the so-called "accelerationists" so excited about open-weight models. I suspect the reason they are is that they know open-weight models are effectively ungovernable, and they simply like the overall cloak of ungovernability open-weight models create over the whole of AI. It's not a bad strategy; it reminds me of James Scott's recounting of the hill people in "the art of not being governed." Still, in the end, open-weight models deter further AI capex.

4. One probable outcome of an open-weight-model-dominant world is full AI communism, which is precisely what China proposes: rather than a market product, AI is a "public good" which will ultimately be provided by the state as a kind of "digital public infrastructure." This future strikes me as a dystopian hellscape, but I've never met an open-weight models advocate who doesn't ultimately concede this is where things end. You'd be surprised how many 'accelerationists' lobbied me, while I was in government, to support an eleven or twelve-figure federally funded data center so that startups could train models at a subsidy and then give them away for free. There was no other way for AI to progress, they said. Perhaps this is the logical end state of things. Nonetheless, I find myself surprised to see supposed accelerationists excited about such an outcome. I think many of them just don't know what they're doing. Many accelerationists do not view the creation and serving of frontier models as a legitimate business.

5. I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don't need to "ban open source" (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. "A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models." It needn't be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There's a happy middle ground here. I'd assume they will do some version of this.

6. It's probably true that open-weight models of this capability make the world a bit more dangerous, but not so much more that you'll really notice. At some point the models will be capable enough that you will notice. "A nonliving, invisible, dangerous, and infinitely self-replicating agent escaped from a Chinese lab," you say? Color me shocked.

[Tim Jones @timjones_dev]

Well, well. They listened! Maybe this will win back some dev's goodwill

[SpaceXAI @SpaceXAI]

We've open-sourced Grok Build and have reset usage limits for all users.

Open sourcing Grok Build allows anyone to support making a reliable and robust harness. Check out our code, including the Git repo for the Grok Build CLI.

https://t.co/3SSvPu2Nrz

[Tim Jones @timjones_dev]

@GeoChonker Why does it look like a light at the end of a tunnel

[Tim Jones @timjones_dev]

@theepicmap @grok what is up with the one in western Colorado?

[Tim Jones @timjones_dev]

Measuring "commute" specifically makes for some weird outliers. Some of these are still very much car-dependant.

[Epic Maps 🗺️ @theepicmap]

US Counties (in Blue) where a majority of people don't use cars to commute.

[Tim Jones @timjones_dev]

@noah_vandal @crypt0lake Americans don't know it exists