As so-called ‘open source’ models move to dominate the LLM landscape and artificial intelligence, we need to decide if we care.
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Reality has hit the AI hype machine. On Alphabet’s recent earnings call, CEO Sundar Pichai touted widespread adoption of Google Cloud’s generative AI solutions, but with a caveat—and a big one. “We are driving deeper progress on unlocking value, which I’m very bullish will happen. But these things take time.” The TL;DR? There’s a lot of generative AI tire-kicking, and not much adoption for serious applications that generate revenue.
This is probably for the best because it gives us time to figure out what the heck we mean by “open source AI.” This matters, because we’re told by Meta CEO Mark Zuckerberg and others that open source will dominate large language models(LLMs) and AI, generally. Maybe. But while the OSI and others are trying to committee their way to …