571–580 of 616 posts
A couple tidbits: > Beyond today’s releases, Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready. > We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress.
While them fixing token bloat on 3.5 Flash is good work. That paragraph was the real highlight. Hopefully 3.5 Pro is soon, and that Gemini 4 can be here end of year and finally have an updated knowledge cutoff.
A couple tidbits: > Beyond today’s releases, Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready. > We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress.
While them fixing token bloat on 3.5 Flash is good work. That paragraph was the real highlight. Hopefully 3.5 Pro is soon, and that Gemini 4 can be here end of year and finally have an updated knowledge cutoff.
—Ah, got it, it knows more about recent times.
Man I love Gemini models but these kind of pricing increase is just insanse. I have a little product and I have to keep increasing the price and reduce the limits because of this non-sense, and they did not even let us use the old models in near future, so I forced to update to the new model with basically no to little improvement because I don't even need that much. Google if you can read this, it okay to release ne…
Have you considered moving to open source / Chinese models?
If gemini-2.5-flash-lite is good enough for your application, you will find even lower cost options with better performance outside of the Google ecosystem.
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That and/or the business case isn’t as clear when serving enormous models? You’re constantly stuck in a red queen’s race where your profitability window is increasingly measured in weeks because the Chinese are right behind you. For small models (which are probably distilled from their big ones) you can serve them economically all the time and not hemorrhage money.
> For small models (which are probably distilled from their big ones) you can serve them economically all the time and not hemorrhage money. For smaller models, you're competing with DeepSeek V4 Flash. (Which I think is a 284B A13B?) Subjectively, this feels about as smart as Sonnet 4.5, give or take. And it costs $0.09/$0.18 on Open Router, compared to $1/$5 for the latest Claude Haiku. See https://openrouter.ai/dee…
I wonder how big the Pro model is that Google is using behind the scenes to train these smaller ones. Going on baseless speculation, the lack of accompanying pro models with these flash releases either means: 1) the model is too big to be economical, 2) google doesn't have the compute to serve the big model, 3) their big model has too many alignment issues to serve to the public. edit: looks like benchmarks are up on…
This implies that normally models are aligned and there is merely a number of issues to fix.
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A new model arrives. The pelican, with uncanny commercial instinct, is never far behind. Sponsored blogs and paid newsletters are after all, notoriously poor at subsisting on silence :)
Linking directly to the rendered markdown as opposed to a post on my blog is a poor way to promote my blog.
Marketing, apparently, is a property of URLs rather than outcomes :)
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Google can't compete with China, neither can Meta. Only two labs in the US can keep chucking billions at the frontier race. Everyone else has a real business to run. China can keep up because it's cheaper to run a frontier lab there. They also have more researchers and a stronger cultural inclination for this sort of thing. And I guess the business case in China doesn't have to work as well as it does in the US.
> China can keep up because it's cheaper to run a frontier lab there Not sure if this is what you meant, but their training runs are significantly cheaper. This was one of the big shockers from the Deepseek R1 paper. US foreign policy has helped to ensure that the Chinese are compute constrained, so they literally cannot buy the most expensive and powerful training rigs. This has led to a steady drumbeat of innovatio…
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I am growing tired of these pelicans posts every time a new model is published. Feels to me like low effort personal brand promotion. Just sharing my 2 cents.
You and a few other people, but enough people still appreciate the bit that I'm going to keep doing it. They're easy enough to skip - click the little "-" icon and you'll collapse the entire sub-thread.
Consensus has an unfortunate habit of beginning that way.
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You and a few other people, but enough people still appreciate the bit that I'm going to keep doing it. They're easy enough to skip - click the little "-" icon and you'll collapse the entire sub-thread.
One only hopes "a few people" remains a comforting description. Consensus has an unfortunate habit of beginning that way.
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Life gets simpler and better as soon as you stop giving money to Google. It’s so silly that individual people still use their shit. Corporations, I understand - they always choose the most mediocre stacks and tools by default. But why people choose to bring the mediocrity of Google into their lives is beyond me.
> But why people choose to bring the mediocrity of Google into their lives is beyond me. Because life gets simpler and better if you are just using what is available on your phone and in your browser instead of constantly chasing current HN darling.