Meta's new Llama-4 is Full of Controversies...
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Top Comments (10)
Fireship's video about llama 4 was so disappointing, lazy, and half of it was an ad. I'm starting to like bycloud a lot more, he really does go in-depth and explains things better. (Although he should stop using outdated memes 😭)
"Since it's open source everyone can fix it" > illegal to use in the EU
As much as I like the fact that a big company keeps supporting the open source llm landscape, I just gotta be honest that I've never been impressed with the llama models. They're bloated and just never performed well for anything I tried on them. And now they've gotten so fkin huge that if you manage to get them to run at all, you'll def be able to run smth like deepseek comfortably as well and I'd rather use that.
It feels like there's a secret sauce to make models better at coding. I have a small piece of JavaScript (originally created by an older LLM and faulty), that I use to measure LLM bug fix performance. There have been a lot of open weight models since around beginning last year, that manage to create the fixed code just fine, but they're usually 8B or above and not fully open source. I even tested some 12B-14B reasoning models and they mostly failed spectacularly after thousands of tokens. Either these models have never seen a piece of JavaScript, are overtrained on Python or there is a secret training set, the open source community doesn't have.
thank you for briefly explaining the difference between dense and moe as well as active parameters. from all these ai channels, i think you might be the best one. love your content and explainations!
Llama-4 is already asking for vacation days?
1.5B model outperforming 109B is funny
Visualize your AI content creation workflow now with poppy AI https://start.getpoppy.ai/bycloud and use the coupon code “BYCLOUD” for $25 off any plans!
We are not even on pinnacle of AI right now 🤯😭. We are cooked
You've been the best in AI news and overviews for years now and with great humor. glad I came across you
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Top Comments (10)
Fireship's video about llama 4 was so disappointing, lazy, and half of it was an ad. I'm starting to like bycloud a lot more, he really does go in-depth and explains things better. (Although he should stop using outdated memes 😭)
"Since it's open source everyone can fix it" > illegal to use in the EU
As much as I like the fact that a big company keeps supporting the open source llm landscape, I just gotta be honest that I've never been impressed with the llama models. They're bloated and just never performed well for anything I tried on them. And now they've gotten so fkin huge that if you manage to get them to run at all, you'll def be able to run smth like deepseek comfortably as well and I'd rather use that.
It feels like there's a secret sauce to make models better at coding. I have a small piece of JavaScript (originally created by an older LLM and faulty), that I use to measure LLM bug fix performance. There have been a lot of open weight models since around beginning last year, that manage to create the fixed code just fine, but they're usually 8B or above and not fully open source. I even tested some 12B-14B reasoning models and they mostly failed spectacularly after thousands of tokens. Either these models have never seen a piece of JavaScript, are overtrained on Python or there is a secret training set, the open source community doesn't have.
thank you for briefly explaining the difference between dense and moe as well as active parameters. from all these ai channels, i think you might be the best one. love your content and explainations!
Llama-4 is already asking for vacation days?
1.5B model outperforming 109B is funny
Visualize your AI content creation workflow now with poppy AI https://start.getpoppy.ai/bycloud and use the coupon code “BYCLOUD” for $25 off any plans!
We are not even on pinnacle of AI right now 🤯😭. We are cooked
You've been the best in AI news and overviews for years now and with great humor. glad I came across you