6 ms·

Is it me or is the rate of model release is accelerating to an absurd degree? Today we have Gemini 3 Deep Think and GPT 5.3 Codex Spark. Yesterday we had GLM5 a

Is it me or is the rate of model release is accelerating to an absurd degree? Today we have Gemini 3 Deep Think and GPT 5.3 Codex Spark. Yesterday we had GLM5 and MiniMax M2.5. Five days before that we had Opus 4.6 and GPT 5.3. Then maybe two weeks I think before that we had Kimi K2.5.

rogerkirkness 8mo ago
Fast takeoff.
bpodgursky 8mo ago
Anthropic took the day off to do a $30B raise at a $380B valuation.
- IhateAI 8mo ago
  Most ridiculous valuation in the history of markets. Cant wait to watch these compsnies crash snd burn when people give up on the slot machine.
  - kgwgk 8mo ago
    WeWork almost IPO’s at $50bn. It was also a nice crash and burn.
  - jascha_eng 8mo ago
    Why? They had $10+ billion arr run rate in 2025 trippeled from 2024 I mean 30x is a lot but also not insane at that growth rate right?
    - gokhan 8mo ago
      It's a 13 days old account with IHateAI handle.
      - IhateAI 8mo ago
        [dead]
  - andxor 8mo ago
    As usual don't take financial advice from HN folks!
    - blibble 8mo ago
      not as if you could get in on it even if you wanted to
brokencode 8mo ago
They are using the current models to help develop even smarter models. Each generation of model can help even more for the next generation. I don’t think it’s hyperbolic to say that we may be only a single digit number of years away from the singularity.
- lm28469 8mo ago
  I must be holding these things wrong because I'm not seeing any of these God like superpowers everyone seem to enjoy.
  - brokencode 8mo ago
    Who said they’re godlike today? And yes, you are probably using them wrong if you don’t find them useful or don’t see the rapid improvement.
    - lm28469 8mo ago
      Let's come back in 12 months and discuss your singularity then. Meanwhile I spent like $30 on a few models as a test yesterday, none of them could tell me why my goroutine system was failing, even though it was painfully obvious (I purposefully added one too many wg.Done), gemini, codex, minimax 2.5, they all shat the bed on a very obvious problem but I am to believe they're 98% conscious and better at logic and math than 99% of the population. Every new model release neckbeards come out of the basements to tell us the singularity will be there in two more weeks
      - logicprog 8mo ago
        Meanwhile I've been using Kimi K2T and K2.5 to work in Go with a fair amount of concurrency and it's been able to write concurrent Go code and debug issues with goroutines equal to, and much more complex then, your issue, involving race conditions and more, just fine. Projects: https://github.com/alexispurslane/oxen https://github.com/alexispurslane/oxen https://github.com/alexispurslane/org-lsp https://github.com/alexispurslane/org-lsp (Note that org-lsp has a much improved version of the same indexer as oxen; the first was purely my design, the second I decided to listen to K2.5 more and it found a bunch of potential race conditions and fixed them) shrug
aliston 8mo ago
I'm having trouble just keeping track of all these different types of models. Is "Gemini 3 Deep Think" even technically a model? From what I've gathered, it is built on top of Gemini 3 Pro, and appears to be adding specific thinking capabilities, more akin to adding subagents than a truly new foundational model like Opus 4.6. Also, I don't understand the comments about Google being behind in agentic workflows. I know that the typical use of, say, Claude Code feels agentic, but also a lot of folks are using separate agent harnesses like OpenClaw anyway. You could just as easily plug Gemini 3 Pro into OpenClaw as you can Opus, right? Can someone help me understand these distinctions? Very confused, especially regarding the agent terminology. Much appreciated!
- re-thc 8mo ago
  There are hints this is a preview to Gemini 3.1.
- logicprog 8mo ago
  > Also, I don't understand the comments about Google being behind in agentic workflows. It has to do with how the model is RL'd. It's not that Gemini can't be used with various agentic harnesses, like open code or open claw or theoretically even claude code. It's just that the model is trained less effectively to work with those harnesses, so it produces worse results.
- janalsncm 8mo ago
  The term “model” is one of those super overloaded terms. Depending on the conversation it can mean: - a product (most accurate here imo) - a specific set of weights in a neural net - a general architecture or family of architectures (BERT models) So while you could argue this is a “model” in the broadest sense of the term, it’s probably more descriptive to call it a product. Similarly we call LLMs “language” models even if they can do a lot more than that, for example draw images.
  - cubefox 8mo ago
    I'm pretty sure only the second is properly called a model, and "BERT models" are simply models with the BERT architecture.
redox99 8mo ago
There's more compute now than before.
i5heu 8mo ago
I think it is because of the Chinese new year. The Chinese labs like to publish their models arround the Chinese new year, and the US labs do not want to let a DeepSeek R1 (20 January 2025) impact event happen again, so i guess they publish models that are more capable then what they imagine Chinese labs are yet capable of producing.
- woah 8mo ago
  Singularity or just Chinese New Year?
  - syndacks 8mo ago
    The Singularity will occur on a Tuesday, during Chinese New Year
- r2vcap 8mo ago
  [flagged]
  - phainopepla2 8mo ago
    "Happy Holidays" comes to the diaspora
    - FartyMcFarter 8mo ago
      Happy Lunar Holidays to you!
  - rfoo 8mo ago
    For another example, Singapore, one of the "many Asian countries" you mentioned, list "Chinese New Year" as the official name on government websites. [0] Also note that both California and New York is not located in Asia. And don't get me started with "Lunar New Year? What Lunar New Year? Islamic Lunar New Year? Jewish Lunar New Year? CHINESE Lunar New Year?". [0] https://www.mom.gov.sg/employment-practices/public-holidays https://www.mom.gov.sg/employment-practices/public-holidays
  - 8mo ago
deleted 8mo ago
[deleted]
sanderjd 8mo ago
So, yes, for the past couple weeks it has felt that way to me. But it seems to come in fits and starts. Maybe that will stop being the case, but that's how it's felt to me for awhile.
killingtime74 8mo ago
They are spending literal trillions. It may even accelerate
_heimdall 8mo ago
More focus has been put on post-training recently. Where a full model training run can take a month and often requires multiple tries because it can collapse and fail, post-training is don't on the order of 5 or 6 days. My assumption is that they're all either pretty happy with their base models or unwilling to do those larger runs, and post-training is turning out good results that they release quickly.
bytesandbits 8mo ago
its cause of a chain of events. Next week Chinese New year -> Chinese labs release all the models at once before it starts -> US labs respond with what they have already prepared also note that even in US labs a large proportion of researchers and engineers are chinese and many celebrate the Chinese New Year too. TLDR: Chinese New Year. Happy Horse year everybody!

rogerkirkness 8mo ago

Fast takeoff.

bpodgursky 8mo ago

Anthropic took the day off to do a $30B raise at a $380B valuation.

IhateAI 8mo ago
Most ridiculous valuation in the history of markets. Cant wait to watch these compsnies crash snd burn when people give up on the slot machine.
- kgwgk 8mo ago
  WeWork almost IPO’s at $50bn. It was also a nice crash and burn.
- jascha_eng 8mo ago
  Why? They had $10+ billion arr run rate in 2025 trippeled from 2024 I mean 30x is a lot but also not insane at that growth rate right?
  - gokhan 8mo ago
    It's a 13 days old account with IHateAI handle.
    - IhateAI 8mo ago
      [dead]
- andxor 8mo ago
  As usual don't take financial advice from HN folks!
  - blibble 8mo ago
    not as if you could get in on it even if you wanted to

brokencode 8mo ago

They are using the current models to help develop even smarter models. Each generation of model can help even more for the next generation. I don’t think it’s hyperbolic to say that we may be only a single digit number of years away from the singularity.

lm28469 8mo ago
I must be holding these things wrong because I'm not seeing any of these God like superpowers everyone seem to enjoy.
- brokencode 8mo ago
  Who said they’re godlike today? And yes, you are probably using them wrong if you don’t find them useful or don’t see the rapid improvement.
  - lm28469 8mo ago
    Let's come back in 12 months and discuss your singularity then. Meanwhile I spent like $30 on a few models as a test yesterday, none of them could tell me why my goroutine system was failing, even though it was painfully obvious (I purposefully added one too many wg.Done), gemini, codex, minimax 2.5, they all shat the bed on a very obvious problem but I am to believe they're 98% conscious and better at logic and math than 99% of the population. Every new model release neckbeards come out of the basements to tell us the singularity will be there in two more weeks
    - logicprog 8mo ago
      Meanwhile I've been using Kimi K2T and K2.5 to work in Go with a fair amount of concurrency and it's been able to write concurrent Go code and debug issues with goroutines equal to, and much more complex then, your issue, involving race conditions and more, just fine. Projects: https://github.com/alexispurslane/oxen https://github.com/alexispurslane/oxen https://github.com/alexispurslane/org-lsp https://github.com/alexispurslane/org-lsp (Note that org-lsp has a much improved version of the same indexer as oxen; the first was purely my design, the second I decided to listen to K2.5 more and it found a bunch of potential race conditions and fixed them) shrug

aliston 8mo ago

I'm having trouble just keeping track of all these different types of models. Is "Gemini 3 Deep Think" even technically a model? From what I've gathered, it is built on top of Gemini 3 Pro, and appears to be adding specific thinking capabilities, more akin to adding subagents than a truly new foundational model like Opus 4.6. Also, I don't understand the comments about Google being behind in agentic workflows. I know that the typical use of, say, Claude Code feels agentic, but also a lot of folks are using separate agent harnesses like OpenClaw anyway. You could just as easily plug Gemini 3 Pro into OpenClaw as you can Opus, right? Can someone help me understand these distinctions? Very confused, especially regarding the agent terminology. Much appreciated!

re-thc 8mo ago
There are hints this is a preview to Gemini 3.1.
logicprog 8mo ago
> Also, I don't understand the comments about Google being behind in agentic workflows. It has to do with how the model is RL'd. It's not that Gemini can't be used with various agentic harnesses, like open code or open claw or theoretically even claude code. It's just that the model is trained less effectively to work with those harnesses, so it produces worse results.
janalsncm 8mo ago
The term “model” is one of those super overloaded terms. Depending on the conversation it can mean: - a product (most accurate here imo) - a specific set of weights in a neural net - a general architecture or family of architectures (BERT models) So while you could argue this is a “model” in the broadest sense of the term, it’s probably more descriptive to call it a product. Similarly we call LLMs “language” models even if they can do a lot more than that, for example draw images.
- cubefox 8mo ago
  I'm pretty sure only the second is properly called a model, and "BERT models" are simply models with the BERT architecture.

redox99 8mo ago

There's more compute now than before.

i5heu 8mo ago

I think it is because of the Chinese new year. The Chinese labs like to publish their models arround the Chinese new year, and the US labs do not want to let a DeepSeek R1 (20 January 2025) impact event happen again, so i guess they publish models that are more capable then what they imagine Chinese labs are yet capable of producing.

woah 8mo ago
Singularity or just Chinese New Year?
- syndacks 8mo ago
  The Singularity will occur on a Tuesday, during Chinese New Year
r2vcap 8mo ago
[flagged]
- phainopepla2 8mo ago
  "Happy Holidays" comes to the diaspora
  - FartyMcFarter 8mo ago
    Happy Lunar Holidays to you!
- rfoo 8mo ago
  For another example, Singapore, one of the "many Asian countries" you mentioned, list "Chinese New Year" as the official name on government websites. [0] Also note that both California and New York is not located in Asia. And don't get me started with "Lunar New Year? What Lunar New Year? Islamic Lunar New Year? Jewish Lunar New Year? CHINESE Lunar New Year?". [0] https://www.mom.gov.sg/employment-practices/public-holidays https://www.mom.gov.sg/employment-practices/public-holidays
- 8mo ago

deleted 8mo ago

[deleted]

sanderjd 8mo ago

So, yes, for the past couple weeks it has felt that way to me. But it seems to come in fits and starts. Maybe that will stop being the case, but that's how it's felt to me for awhile.

killingtime74 8mo ago

They are spending literal trillions. It may even accelerate

_heimdall 8mo ago

More focus has been put on post-training recently. Where a full model training run can take a month and often requires multiple tries because it can collapse and fail, post-training is don't on the order of 5 or 6 days. My assumption is that they're all either pretty happy with their base models or unwilling to do those larger runs, and post-training is turning out good results that they release quickly.

bytesandbits 8mo ago

its cause of a chain of events. Next week Chinese New year -> Chinese labs release all the models at once before it starts -> US labs respond with what they have already prepared also note that even in US labs a large proportion of researchers and engineers are chinese and many celebrate the Chinese New Year too. TLDR: Chinese New Year. Happy Horse year everybody!