| So Microsoft's definition of winning is being the host for AI inference products/services. Startups make useful AI products, MSFT collects tax from them and build ever more data centers. I haven't thought too critically yet about Meta's strategy here, but I'd like to give it a shot now: * The release/leak of Llama earlier this year shifted the battleground. Open source junkies took it and started optimizing to a point AI researchers thought impossible. (Or were unincentivized to try) * That optimization push can be seen as an end-run on a Meta competitor being the ultimate tax authority. Just like getting DOOM to run on a calculator, someone will do the same with LLM inference. Is Meta's hope here that the open source community will fight their FAANG competitors as some kind of proxy? I can't see the open source community ever trusting Meta, the FOSS crowd knows how to hold a grudge and Meta is antithetical to their core ideals. They'll still use the stuff Meta releases though. I just don't see a clear path to: * How Meta AI strategy makes money for Meta * How Meta AI strategy funnels devs/customers into its Meta-verse |