191–200 of 228 posts
Yeah, no thanks. I cannot think of a worse company to trust with additional personal data.
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…
My trust factor is gone with Meta right now. Has there been any independent analysis to confirm they didn't cheat on benchmarks again?
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…
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…
the muse family is no longer open-source. it is still priced very "cheaply", but a significant shift in approach.
Interesting how the prevalent opinion until yesterday seems to have been that OpenAI & Anthropic are irreversibly ahead and now with xAI and Meta at least delivered something that's competitive with useful models and cheap too. Granted, the narrative that the two leading labs are ahead still holds with Fable (and perhaps an upcoming GPT6), but it's not as over as common knowledge by the opinion leaders would have us…
meh, models are mostly good enough now. Without a major breakthrough the only thing that matters now is cost.
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.
Yeah, I think it is definitely great. Having said that, I am still debating in my mind whether the volume of software engineers needed in the AI era is going to increase or decrease because of all of these advancements. On the one hand, because it is easy to build products, more and more people will build. And more and more products and features will be built. However, a lot of people who are non-technical will also…
1. You have a task and it requires an expert to perform it (software engineering, where we were) 2. You automate the task, it still requires the expert to babysit it (where we are now) 3. Management works out that the expert is just monitoring what the automation is doing and has actually lost expertise because they are just watching, not doing. Pay collapses. (where we are going)
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> Chinese companies have always had a very low willingness to pay for software Are we still left with this mindset? Maybe once upon a time but it has definitely been changing. There's plenty of B2B and enterprise SaaS companies in China serving the Chinese market. Maybe not as many, but no longer the very low of the past. I also would not say enterprise were not willing to pay, even many years ago. It's the SME that…
I would say I'm still in this mindset. Numbers are hard to come by but analysts optimistically put Chinese SaaS market at ~10% of the size of the US. Also I see that the gross margin for public Chinese SaaS is around 50% vs 80% for the US reflecting that SaaS in China is much more services and implementation heavy. So it feels like the direct to business SaaS's like Salesforce aren't really there and then then the se…
Exactly it's mindset. I used pulled up 1st result when I used Google [0][1] and it is ~20%. It also forecasts huge growth potential.
[0]: https://www.grandviewresearch.com/horizon/outlook/software-a...
[1]: https://www.grandviewresearch.com/horizon/outlook/software-a...
> reflecting that SaaS in China is much more services and implementation heavy
I wouldn't read into it too much. There's creative accounting and other things involved. Also what is services and not e.g. "premium support"?
> So it feels like the direct to business SaaS's like Salesforce aren't really there and then then the selling to SaaS titans like Datadog have a much smaller flywheel to work in.
US companies struggle for many other reasons that I rather not go into but definitely not a SaaS nor China issue. I mean yes it is a China issue as in businesses need to adapt to different cultures rather than 1 size fit all but that applies everywhere.
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His primary interest nowadays is LLM's. Unsure if he gets paid for it, but he seems to take it as a dayjob.
My blog genuinely is a day job now, I make enough from the (unobtrusive, cookie-free) sponsorship banner that I no longer regret not having a proper software engineering job.
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How do you find the time to “preview” so many models? It’s been a crazy time recently with the model releases. Does it ever feel like a chore?
It's his job, and this is advertising (he is very good at native advertising on HN).