Google's on a roll. That's a lot of performance for that tiny size! I just embedded 1.4 million documents in ~80 mins on my M2 Max for free.
Would've been ~$200 with the text-embedding-3-large, with worse quality.
Google's on a roll. That's a lot of performance for that tiny size! I just embedded 1.4 million documents in ~80 mins on my M2 Max for free.
Would've been ~$200 with the text-embedding-3-large, with worse quality.
The most interesting tension in the AI industry:
- better lesson pushes models towards end to end solutions with single large models
- economic viability pushes industry towards many composable models with broad horizontal applicability
Credit where it's due: seems like OpenAI has fixed a lot of GPT-5 issues in the last 12-24 hours, and Codex CLI works really well in auto mode
Still terrible if you use in a "approve before making edits" mode, but hopefully they fix it soon🤞🏼
Now that the era of the scaling "law" is coming to a close, I guess every lab will have their Llama 4 moment.
Grok had theirs.
OpenAI just had theirs too.
Early vibes: Codex CLI (w GPT-5) can now do tasks of similar complexity as Claude Code (w Opus). CC has way better UX though
Excited to try out OpenHands and AmpCode with GPT5. More competition FTW!
Sheesh, they weren't kidding about GPT-5 being better at tool use. Have not seen an openai model make this many tool calls yet
Also seems really good at making parallel tool calls compared to Opus (atleast from early vibes)
Will check with Codex soon
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