Most new products fail at meta, because they become a "priority", throw thousands of engineers at the problem and get bogged down in managing a massive oversubscription of engineers to useful work ratio.
Threads happened because a few people managed to convince each other to take a risk and build a instagram/mastodon chimera. They managed to show enough progress to continue without getting fucked in the performance review, but not enough for an exec to get excited about building an empire around it.
It might not all be open-source, and they are doing it with an expectation of long-term profit, but they are earnestly pushing the horizons (pun intended) of the field and taking-on lots of risk for everyone else.
It's undeniable now that they are a serious and innovative engineering organization, while Google is rapidly loosing that reputation.
I'm kind of split about this. Yes, Facebook done a lot of great Open Source in the past, and I'm sure they'll do more great Open Source in the future.
But it's really hard to see them in a positive light when they keep misleading people about Llama, and publish blog posts that say how important Open Source is etc etc, then refuse to actually release Llama as Open Source, refuse to elaborate on why they see it as Open Source while no one else does it and refuse to take a step back and understand how the FOSS community feels when they actively mislead people like this.
The weights are the "preferred form of the work for making modifications to it", to quote the GPL. The rest is just the infrastructure used to produce the work.
Where "open source" is misleading with Llama is that it's restricted to companies under a certain size and has restrictions for what you can and can't do with it. That kind of restriction undermines the freedoms promised by the phrase "open source", and it's concerning to me that people have gotten so fixating on weights vs data when there's a big gap in the freedoms offered on the weights.
I think the Copilot-equivalent tools alone would make it quickly pay itself off in productivity gains. Research summaries, PDF extraction, and OCR would add more to that.
Zuckerberg is just following the Bezos strategy of someone else’s margin being his opportunity. This open source move is predatory.
I disagree with this, if you want to actually have a fundamental impact on the model, the real work and innovation goes into how the training is done, and the architecture of the model. That's the "source", and what Meta et al is currently trying to protect and keep private.
Guess why they're so adamant at keeping the training code secret?
Besides that, I agree wholeheartedly with you :)
From my understanding this comes from a feud with EU privacy law because Facebook wants to train models on EU users data, but GDPR makes that complicated (see their letter at euneedsai.com). So they made this license change to "punish" the EU.
As far as I know, no one does that (https://ollama.com as an example of a platform that breaks Llama's terms and conditions) and Meta isn't enforcing it. But who knows, they might do so in the future.
Not sure how any sane person can claim Llama is Open Source after realizing these things.