151–160 of 697 posts
Google keeps flashing everyone where everyone is expecting to get PRO'bed.
Almost suspect that the rate of improvement to post-training is so fast that small models have an advantage - it takes much more compute to train a bigger model, so the flash models are just running in circles (well, not exactly of course) around the larger models right now.
I've been using Gemini 3.7 for my personal trip planning app. Across multiple benchmarks, it ranks higher on everything I tried: - Real world knowledge (when a thing opens and closes, the geographic region, historical facts). It's also the best at taking a cluster of places and working out a visiting order. - Photo ranking (which photo should be the hero). Gemini can tell whether a photo is of the thing or of the vie…
One thing in your comment surprised me: "when a thing opens and closes" Why you would rely on the model's weights to know opening hours, instead of having the model call a web search tool to verify it on the official site?
Kind of wild that they haven't (successfully) pretrained a base model since Jan-25.
Who coined the phrase "cyber" for security related things lol. It's so 1999.
Currently top at https://deepswe.datacurve.ai - beating Opus 5! https://artificialanalysis.ai/models/gemini-3-8-flash shows an intelligence score of 59, the same as Opus 5 medium! Wow - for a flash model this seems to benchmark powerfully. Remains to be seen what it is like to use.
sidenote, but wow sonnet 5 is shockingly bad on this benchmark.
anthropic really needs something to address the cheaper end of the market before they get left behind. Sonnet 5 sucks, and Haiku hasn't been updated in a year. meanwhile we've got gemini flash, luna, and GLM5.3 all delivering 90% of the performance for a small fraction of the cost. paying $25/mTok is going to start looking pretty silly soon.
Who coined the phrase "cyber" for security related things lol. It's so 1999.
And yet again another failed launch from Google. I pay for their AI plus Google one package to get more cloud storage (have no interest in their AI bundle but you have to pay). and all I see in the Gemini app is 3.6-flash
Google has been doing staged roll outs on all their products since forever.
Is this weakness in their training regimen the impact of operating under regulatory frameworks for too long?