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I personally do not like Meta, but I'll say this. The more competition, the better for regular consumers. (Enterprise too) - Chinese models - Grok - Meta -

I personally do not like Meta, but I'll say this. The more competition, the better for regular consumers. (Enterprise too) - Chinese models - Grok - Meta - Google - OpenAI - Anthropic I think this is a win. I'm building like crazy to take advantage of all these subsidized tokens while I can.

alansaber 3mo ago
Meta's local llama models used to be the face of open source AI. The scene has really changed.
- cyanydeez 3mo ago
  they likely got the Peter Theil newsletter proclaiming open source models are the antichrist
  - bevekspldnw 3mo ago
    Only 666B models. Other sizes are fine.
  - alightsoul 3mo ago
    That person is Alexandr Wang. He made his money selling data annotation services to closed source companies: openai, anthropic, Google, even Meta
cpt100 3mo ago
Yeah, I think it is definitely great. Having said that, I am still debating in my mind whether the volume of software engineers needed in the AI era is going to increase or decrease because of all of these advancements. On the one hand, because it is easy to build products, more and more people will build. And more and more products and features will be built. However, a lot of people who are non-technical will also try to build, but they get stuck, and then they will need engineers. The sheer volume of product built by both experienced technical companies and non-technical novice startups and founders and wannabe founders is going to be massive. That is the bull case for having more software engineers needed in the near future. On the other hand, in a year or so, people will build all these products, and most of them won't be able to market them, sell them and make money. Eventually, there won't really be a need for that many software engineers. I think overall the bull case is probably going to win net net.
- BugsJustFindMe 3mo ago
  > On the one hand, because it is easy to build products, more and more people will build. And those people won't need to be software engineers. > but they get stuck, and then they will need engineers You've implicitly assumed here that the AI systems will always be worse than the average engineer. That is IMO myopic. I'm not sure that it's even true now let alone in the nebulous future.
  - throwaway27448 3mo ago
    > And those people won't need to be software engineers....You've implicitly assumed here that the AI systems will always be worse than the average engineer. Most of what we do as engineers is precisely describe or analyze the behavior we want or the behavior we don't want. All other engineering skills that are useful are ultimately downstream from understanding the behavior of software enough to know which parts to keep, improve, or jettison. Chatbots can take care, somewhat, of analysis or expansion of instructions.... but they can't read minds. I don't see that changing any time soon.
    - BugsJustFindMe 3mo ago
      > but they can't read minds I don't know who needs to hear this, but neither can humans. You've implicitly assumed here that AI systems will always be worse at contextualizing and framing questions than the average engineer. I'm not sure that it's even true now let alone in the nebulous future. You haven't narrowed the fundamental myopia of the assumption here, just dressed it in slightly different clothing.
      - throwaway27448 3mo ago
        > You've implicitly assumed here that AI systems will always be worse at contextualizing and framing questions than the average engineer. How would they know what to ask or contextualize if they don't know what the user wants?
        3mo ago
wolttam 3mo ago
To expand on Chinese models: - DeepSeek - GLM (Z.ai) - Minimax - Kimi (Moonshot) - Hy3 (Tencent) - Qwen (Alibaba) (Each one of these with weights available to download and run locally)
- 4d4m 3mo ago
  GLM 5.2 is great, but is so rate limited now I no longer recommend it
  - wolttam 3mo ago
    I'm looking ahead to the next wave of open-weight models that are as efficient as DSv4 (which is really efficient), and have been heavily distilled on GLM 5.2 (which is trivial, given it is open weight)
  - copperx 3mo ago
    Aren't there multiple providers for it? is it rate limited in all providers?
    - MrBuddyCasino 3mo ago
      I have no issues via openrouter.
      - 4d4m 3mo ago
        I am using Z.AI coding plan, but will give OR another shot!
  - pimeys 3mo ago
    I use it all the time through Fireworks. The normal version when I pay it myself and the fast one when company pays. It's really fast and I never get rate limited with my daily use.
  - re-thc 3mo ago
    Rumors are Nvidia H200s got approved so infrastructure might be improving soon.
croes 3mo ago
While data centers are still using lots of energy created from fossil fuels and many still evaporate water for cooling? No wonder we still can’t get climate change under control
- ben_w 3mo ago
  > No wonder we still can’t get climate change under control This is was historically a money issue, being green used to be wildly more expensive. Now being green is cheaper, the limiting factor is how fast PV and batteries can be made or imported. Recent reports of the sum of all US data centres currently in planning, has a power demand exceeding the (capacity-factor-adjusted!) global annual supply of new PV. This would be less of a problem, but still a problem, if Trump wasn't trying to get in the way of anything green, or if the companies building data centres decided to also support factories to make more PV. * Planned new demand: 300 GW; PV factory capacity ~ 600 GW nameplate, but the capacity factor is 14% so that's really 84 GW on average.
Lomlioto 3mo ago
Its the biggest technology race we have ever seen. Richest companies, smartest people, richest countries. I do not know if competition is good, we will see in a few years. Looking forward having a physical job for a change :D
- pa7ch 3mo ago
  A bit much describing our tech leadership as smartest people we've ever seen.
  - anematode 3mo ago
    Greediest, perhaps?
  - Lomlioto 3mo ago
    I would call the founders of DeepMind (Demis Hassabis, Mustafa Suleyman, Shane Legg) very smart people. Im pretty sure with the amount of funding everyone of these companies have, they have a long list of very smart researchers in their companies. I do not mean Suckerberg or Eric Schmidt.
Cappybara12 3mo ago
He came to X to post about this instead of his very own meta threads. This just shows how much interested he is to make this thing big, and of course, the cost can stay bearable for us considering all of these cash burn that these companies are doing

alansaber 3mo ago

Meta's local llama models used to be the face of open source AI. The scene has really changed.

cyanydeez 3mo ago
they likely got the Peter Theil newsletter proclaiming open source models are the antichrist
- bevekspldnw 3mo ago
  Only 666B models. Other sizes are fine.
- alightsoul 3mo ago
  That person is Alexandr Wang. He made his money selling data annotation services to closed source companies: openai, anthropic, Google, even Meta

cpt100 3mo ago

Yeah, I think it is definitely great. Having said that, I am still debating in my mind whether the volume of software engineers needed in the AI era is going to increase or decrease because of all of these advancements. On the one hand, because it is easy to build products, more and more people will build. And more and more products and features will be built. However, a lot of people who are non-technical will also try to build, but they get stuck, and then they will need engineers. The sheer volume of product built by both experienced technical companies and non-technical novice startups and founders and wannabe founders is going to be massive. That is the bull case for having more software engineers needed in the near future. On the other hand, in a year or so, people will build all these products, and most of them won't be able to market them, sell them and make money. Eventually, there won't really be a need for that many software engineers. I think overall the bull case is probably going to win net net.

BugsJustFindMe 3mo ago
> On the one hand, because it is easy to build products, more and more people will build. And those people won't need to be software engineers. > but they get stuck, and then they will need engineers You've implicitly assumed here that the AI systems will always be worse than the average engineer. That is IMO myopic. I'm not sure that it's even true now let alone in the nebulous future.
- throwaway27448 3mo ago
  > And those people won't need to be software engineers....You've implicitly assumed here that the AI systems will always be worse than the average engineer. Most of what we do as engineers is precisely describe or analyze the behavior we want or the behavior we don't want. All other engineering skills that are useful are ultimately downstream from understanding the behavior of software enough to know which parts to keep, improve, or jettison. Chatbots can take care, somewhat, of analysis or expansion of instructions.... but they can't read minds. I don't see that changing any time soon.
  - BugsJustFindMe 3mo ago
    > but they can't read minds I don't know who needs to hear this, but neither can humans. You've implicitly assumed here that AI systems will always be worse at contextualizing and framing questions than the average engineer. I'm not sure that it's even true now let alone in the nebulous future. You haven't narrowed the fundamental myopia of the assumption here, just dressed it in slightly different clothing.
    - throwaway27448 3mo ago
      > You've implicitly assumed here that AI systems will always be worse at contextualizing and framing questions than the average engineer. How would they know what to ask or contextualize if they don't know what the user wants?
      - 3mo ago

wolttam 3mo ago

To expand on Chinese models: - DeepSeek - GLM (Z.ai) - Minimax - Kimi (Moonshot) - Hy3 (Tencent) - Qwen (Alibaba) (Each one of these with weights available to download and run locally)

4d4m 3mo ago
GLM 5.2 is great, but is so rate limited now I no longer recommend it
- wolttam 3mo ago
  I'm looking ahead to the next wave of open-weight models that are as efficient as DSv4 (which is really efficient), and have been heavily distilled on GLM 5.2 (which is trivial, given it is open weight)
- copperx 3mo ago
  Aren't there multiple providers for it? is it rate limited in all providers?
  - MrBuddyCasino 3mo ago
    I have no issues via openrouter.
    - 4d4m 3mo ago
      I am using Z.AI coding plan, but will give OR another shot!
- pimeys 3mo ago
  I use it all the time through Fireworks. The normal version when I pay it myself and the fast one when company pays. It's really fast and I never get rate limited with my daily use.
- re-thc 3mo ago
  Rumors are Nvidia H200s got approved so infrastructure might be improving soon.

croes 3mo ago

While data centers are still using lots of energy created from fossil fuels and many still evaporate water for cooling? No wonder we still can’t get climate change under control

ben_w 3mo ago
> No wonder we still can’t get climate change under control This is was historically a money issue, being green used to be wildly more expensive. Now being green is cheaper, the limiting factor is how fast PV and batteries can be made or imported. Recent reports of the sum of all US data centres currently in planning, has a power demand exceeding the (capacity-factor-adjusted!) global annual supply of new PV. This would be less of a problem, but still a problem, if Trump wasn't trying to get in the way of anything green, or if the companies building data centres decided to also support factories to make more PV. * Planned new demand: 300 GW; PV factory capacity ~ 600 GW nameplate, but the capacity factor is 14% so that's really 84 GW on average.

Lomlioto 3mo ago

Its the biggest technology race we have ever seen. Richest companies, smartest people, richest countries. I do not know if competition is good, we will see in a few years. Looking forward having a physical job for a change :D

pa7ch 3mo ago
A bit much describing our tech leadership as smartest people we've ever seen.
- anematode 3mo ago
  Greediest, perhaps?
- Lomlioto 3mo ago
  I would call the founders of DeepMind (Demis Hassabis, Mustafa Suleyman, Shane Legg) very smart people. Im pretty sure with the amount of funding everyone of these companies have, they have a long list of very smart researchers in their companies. I do not mean Suckerberg or Eric Schmidt.

Cappybara12 3mo ago

He came to X to post about this instead of his very own meta threads. This just shows how much interested he is to make this thing big, and of course, the cost can stay bearable for us considering all of these cash burn that these companies are doing