Live data from Hacker News

Corporate America is getting hooked on open-source AI

nytimes.com

41–50 of 301 posts

Re: Corporate America is getting hooked on open-source AI

#41

I swear, Qwen 3.8 27B @ Q8 is smarter than Sonnet 5 most of the time. Why wouldn’t corporate America self host at this point, especially with better options like Deepseek Flash and GLM 5.3 flash that’s a middle ground between Sonnet and Opus

@q4 is definitely smarter than sonnet from what I’ve seen so far. It’s even caught problems in code made by fable, when using it as a code reviewer.

Re: Corporate America is getting hooked on open-source AI

#42
post #7

> 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…

Read the license again.

The license you receive when you download Gemma off of Google's website is not necessarily the same license that AT&T gets when they deploy Gemma as a customer service bot. That's the whole point. AT&T can work directly with Google for a licensing and legal framework that provides certainty.

Re: Corporate America is getting hooked on open-source AI

#44
post #26

Every larger company I talk to these days has an active project on moving away from OpenAI and Anthropic to open models. And they’re actively shifting, as the article says, so the threat is far from theoretical. Unless they both dramatically slash prices then they’re in big trouble. Neither of them can afford to do that and both desperately need to convince the street that the opposite will happen if they want any ho…

There are most definitely is a moat - but it works both ways. The railguards in the models create moats keeping customers out. And the cost to build a modern agentic model is in the 10 figure range and growing. This is an expensive arms race that is going to create moats.

Re: Corporate America is getting hooked on open-source AI

#45

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.

Like taalas.com (very recently acquired by AMD), or cerebras.ai (whole wafer is a chip)? As you said, I also think that is one of the main direction many companies (and academia) is moving to.

Re: Corporate America is getting hooked on open-source AI

#46
post #26

Every larger company I talk to these days has an active project on moving away from OpenAI and Anthropic to open models. And they’re actively shifting, as the article says, so the threat is far from theoretical. Unless they both dramatically slash prices then they’re in big trouble. Neither of them can afford to do that and both desperately need to convince the street that the opposite will happen if they want any ho…

They have good friends in the big ballroom to not allow you to use something cheaper and be locked in on them for your own safety

Re: Corporate America is getting hooked on open-source AI

#47

I swear, Qwen 3.8 27B @ Q8 is smarter than Sonnet 5 most of the time. Why wouldn’t corporate America self host at this point, especially with better options like Deepseek Flash and GLM 5.3 flash that’s a middle ground between Sonnet and Opus

is this actually the case? I haven't kept up with the small models

but if there's roughly Sonnet 4.6 level capable open small models, then I'd be impressed

Re: Corporate America is getting hooked on open-source AI

#48
post #3

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.

You're not corporate America (and trust me, I mostly mean that as a plus). I also work in software, and while I vaguely disagree that open models can't be used (they absolutely fit into productive niches here, and holy hell are the last generation [ex laguna s1, kimi k3, glm 5.3, etc] actually decent) - I will agree that SOTA are a better fit for software development, especially when used in conjunction with an alrea…

Yeah, I totally agree. I'm sure these open models are more than good enough for non-dev work. I'm also sure they'll be good enough for dev work soon enough (and some people are saying the latest already are). My point was that given the difficulty of writing great code and dealing with large systems, SOTA just recently emerged as a viable option. I expect open models to catch up soon.

Re: Corporate America is getting hooked on open-source AI

#49

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.

Yeah, I'm looking forward to this actually.

https://chatjimmy.ai/ blew my mind at how fast etched model weights can be.

For on-device LLMs, there's a point of diminishing returns, meaning you don't need to have the latest frontier model for most operations.

Re: Corporate America is getting hooked on open-source AI

#50
post #26

Every larger company I talk to these days has an active project on moving away from OpenAI and Anthropic to open models. And they’re actively shifting, as the article says, so the threat is far from theoretical. Unless they both dramatically slash prices then they’re in big trouble. Neither of them can afford to do that and both desperately need to convince the street that the opposite will happen if they want any ho…

I know what happens in many big companies and not a single one is moving away from Anthropic/OpenAI/SpaceXAI.

> Unless they both dramatically slash prices then they’re in big trouble

False, they have already done so many times.

> Neither of them can afford to do that and both desperately need to convince the street that the opposite will happen if they want any hope at a successful IPO.

False, margins are higher and I can have a formal bet that prices will go lower.

> However the cold reality for both is that there is zero moat to a model anymore

False, LLMs are not fungible and there exists a natural moat. I like the behaviour of Fable, not the behaviour of Opus - the fact that many people speak about this is evidence.

Post reply on HN