131–140 of 228 posts
Maybe Zuck should double down on his "spoiler" role with models rather than compete head-to-head. He doesn't have to match Anthropic or OpenAI model revenue if he can deflate theirs by 99%. All he has to do is keep spending a few billion dollars developing frontier models, release them as open weights, and turn coding models into a commodity. He also needs a good OSS reference harness to match. Very few people are in…
Why are the plans and pricing for all these products so complicated. I don't know where I need to sign up to try it out. What is pricing? Is it API or subscription, what? I had the exact same experience with Grok 4.5 as well.
I personally do not like Meta, but I'll say this. The more competition, the better for regular consumers. (Enterprise too) - Chinese models - Grok - Meta - Google - OpenAI - Anthropic I think this is a win. I'm building like crazy to take advantage of all these subsidized tokens while I can.
The reason: Its writing style feels "unique", and I find it pleasant to read for science-based topics.
I never ask _ONLY_ Meta AI, but the answer it gives is almost always in a distinctly different style than other frontier LLM's.
I think this is because of the unique JEPA architecture they have, but that's a layman's hunch.
I had a few days of preview access, which was long enough to put together a plugin for LLM. You can try the model out in the terminal like this: uv tool install llm llm install llm-meta-ai llm keys set meta-ai # paste API key here llm -m meta-ai/muse-spark-1.1 "Generate an SVG of a pelican riding a bicycle" Here's the result: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... For comparison, here's the p…
Maybe Zuck should double down on his "spoiler" role with models rather than compete head-to-head. He doesn't have to match Anthropic or OpenAI model revenue if he can deflate theirs by 99%. All he has to do is keep spending a few billion dollars developing frontier models, release them as open weights, and turn coding models into a commodity. He also needs a good OSS reference harness to match. Very few people are in…
If he deflates their revenues, who is going to rent the compute from Meta?
If meta releases an open-weight LLM that is not Chinese made, cheaper to run than the SOTA premiums, etc, it would lower the number of people paying for frontier labs models. We saw with with early LLAMA models, but they didn’t keep up in the race with v4.
Meta would benefit from this, not from increased revenue at the hands of open LLMs, but from reduced competition. Meta competes with Google for ad spend, and lowering the Google revenue (or increasing costs) from AI reduces the competitive advantage. OpenAI wants to build an ad engine, so same thing will apply there too - make it less-revenue-generating to compete. Meanwhile G, OpenAI, and Anthropic are huge talent sinks that they have to compete with, especially for ML talent which is core to Metas business goals (ads). Finally, Meta needs lots of GPUs to train their ad engine models. By reducing the revenue-per-GPU of these labs, they’re reducing demand on a core revenue generating supply they have to compete for.