> Some U.S. firms remain reluctant to use Chinese A.I. models because of concerns over regulation and data privacy. AT&T researches Chinese models but is not using them, Mr. Markus said. Instead, it is working with popular alternatives made by American companies such as the Gemma A.I. model from Google and the Llama A.I. models from Meta.
This makes sense since corporations require legal certainty, and using an open model from an American company (probably) provides them some level of indemnity, and also someone to sue.
The current U.S. regime is also replacing some amount of legal certainty with regime fealty. Picking Chinese options over American ones probably runs a risk of upsetting their leader. I've got to imagine American companies are weighing this factor in their decisions.
I'd love to! For real coding though, SOTA models barely get the job done. It wasn't until Opus 4.5 that you could really get decent results.
I'm sure this will change (and I can't wait for it!) but as of today, open models might be fine for summarizing and writing docs, but you need SOTA to work on code if you want to be competitive.
Every time I check in on this I hear a more recent model is the one where they started doing good work. I'm excited to here that Astra is where it got capable enough to work on code next year
I do think there are now open weight models that are on par with (or beating) Opus 4.5 by now (e.g. Kimi K3, GLM5.3). But yeah obviously the frontier closed source models seem to have pulled away once again, so open weight seems to be a few months behind right now (which might be too long to wait for a lot of people!).
Easy prediction: LLMs will get shrunk down further and further until GenAI is just something that ships on a chip as part of your hardware. In the future it will seem quaint that we needed a network connection to talk to our LLM.
Adoption of open-source models to my mind is a similar step in that direction. In all cases, the goal is to become untethered from a mercurial vendor.
Most open source fans are also hostile to copyrights existence and are openly IP abolitionists. As such, they collectively respond with "good."
This is actual communism, and the fact that Bernie Sanders and every other member of the DSA isn't actively fighting for open source and is often fighting against all AI shows how fake their purported movements are and have always been.
Who cares about power user fans? They don't own the copyright.
Open source authors have always been protective of their copyright. There are numerous examples when drivers have been copied between BSD/Linux (I forget which direction) which led to huge flame wars.
The whole point of the GPL is that it uses copyright and copyright assignment to the FSF to protect what it calls software freedom.
BSD authors are very upset if the attribution clause isn't observed. And so on.
It is communism to exploit poor open source authors? I have to read Marx again.
I've been disappointed with Sanders lately, his age is showing and how he got convinced to give these LLM companies a massive federal bailout is bonkers.
https://archive.is/kmOqm
> Some U.S. firms remain reluctant to use Chinese A.I. models because of concerns over regulation and data privacy. AT&T researches Chinese models but is not using them, Mr. Markus said. Instead, it is working with popular alternatives made by American companies such as the Gemma A.I. model from Google and the Llama A.I. models from Meta.
This makes sense since corporations require legal certainty, and using an open model from an American company (probably) provides them some level of indemnity, and also someone to sue.
The current U.S. regime is also replacing some amount of legal certainty with regime fealty. Picking Chinese options over American ones probably runs a risk of upsetting their leader. I've got to imagine American companies are weighing this factor in their decisions.
I'd love to! For real coding though, SOTA models barely get the job done. It wasn't until Opus 4.5 that you could really get decent results.
I'm sure this will change (and I can't wait for it!) but as of today, open models might be fine for summarizing and writing docs, but you need SOTA to work on code if you want to be competitive.
Every time I check in on this I hear a more recent model is the one where they started doing good work. I'm excited to here that Astra is where it got capable enough to work on code next year
I think it truly just was Opus 4.5 where LLMs became usable for coding.
Yeah what, I'm using flash models and getting a ton of stuff done. 300-400b param size with pi.dev
I do think there are now open weight models that are on par with (or beating) Opus 4.5 by now (e.g. Kimi K3, GLM5.3). But yeah obviously the frontier closed source models seem to have pulled away once again, so open weight seems to be a few months behind right now (which might be too long to wait for a lot of people!).
Easy prediction: LLMs will get shrunk down further and further until GenAI is just something that ships on a chip as part of your hardware. In the future it will seem quaint that we needed a network connection to talk to our LLM.
Adoption of open-source models to my mind is a similar step in that direction. In all cases, the goal is to become untethered from a mercurial vendor.
How is the NYT's copyright lawsuit against OpenAI going and why have you abandoned your start witness Suchir Balaji?
Have you been brought into line? Open source AI also violates copyrights.
Oh no! I'll make sure to tell the Chinese companies about the copyright risks.
Most open source fans are also hostile to copyrights existence and are openly IP abolitionists. As such, they collectively respond with "good."
This is actual communism, and the fact that Bernie Sanders and every other member of the DSA isn't actively fighting for open source and is often fighting against all AI shows how fake their purported movements are and have always been.
There's no reason that one's feelings about AI can't supersede their feelings about open source. We all live with a complex tapestry of values.
Who cares about power user fans? They don't own the copyright.
Open source authors have always been protective of their copyright. There are numerous examples when drivers have been copied between BSD/Linux (I forget which direction) which led to huge flame wars.
The whole point of the GPL is that it uses copyright and copyright assignment to the FSF to protect what it calls software freedom.
BSD authors are very upset if the attribution clause isn't observed. And so on.
It is communism to exploit poor open source authors? I have to read Marx again.
While I don’t disagree that they should be fighting for open source AI, Sanders is hardly “fighting against all AI”.
https://jacobin.com/2026/07/ai-nationalization-sanders-liber...
I've been disappointed with Sanders lately, his age is showing and how he got convinced to give these LLM companies a massive federal bailout is bonkers.
Google can make themselves the heroes of the AI story by releasing a 120B dense Gemma model.
They already released the transformers paper, and I'm sure they are now scratching their head about it.