Llama models are also still best in class for specific tasks that require local data processing. They also maintain positions in the top 25 of the lmarena leaderboard (for what that's worth these days with suspected gaming of the platform), which places them in competition with some of the best models in the world.
But, going back to my first point, Llama set the stage for almost all open weights models after. They spent millions on training runs whose artifacts will never see the light of day, testing theories that are too expensive for smaller players to contemplate exploring.
Pegging Llama as mediocre, or a waste of money (as implied elsewhere), feels incredibly myopic.
That's not to say their work is unimpressive or not worthy - as you say, they've facilitated much of the open-source ecosystem and have been an enabling factor for many - but it's more that that work has been in making it accessible, not necessarily pushing the frontier of what's actually possible, and DeepSeek has shown us what's possible when you do the latter.
I don't see how you can confidently say this when AI researchers and engineers are remunerated very well across the board and people are moving across companies all the time, if the plan is as you described it, it is clearly not working.
Zuckerberg seems confident they'll have an AI-equivalent of a mid-level engineer later this year, can you imagine how much money Meta can save by replacing a fraction of its (well-paid) engineers with fixed Capex + electric bill?
Does it mean they are mediocre? it's not like OpenAI or Anthropic pay their engineers peanuts. Competition is fierce to attract top talents.
Rather with AI, capitalism seems working at its best with competitors to OpenAI building solutions which take market share and improve products. Zuck can try monopoly plays all day, but I don't think this will work this time.
leetcode is like HN’s “DEI” - something they want to blame everything on
At least engineers have some code to show for, unlike managerial class...
LLaMA was huge, Byte Latent Transformer looks promising.. absolutely no idea were you got this idea from.
Deepseek shows impressive e2e engineering from ground up and under constraints squeezing every ounce of the hardware and network performance.
Quest, PyTorch?