It's not an AI hacking into another AI's datacenter and shutting off the training. It's a slow concentration and slow alignment of power along one-party, national lines.
Nice! The world can always use a better data format.
I think you might get some traction if you post the advantages over parquet and other files directly on the readme, so that if someone goes to https://github.com/future-file-format/f3 the see why they should try it.
Mention the advantages and post metrics. Cherry pick the metrics! There's probably a good use case for this but, from the current readme, it's not clear who should use this and why.
I've been thinking about how this will play out.
I think there's a Lindy Effect. The longer the ban remains in place, the longer it's likely to remain in place.
Atherton has a *beautiful* public library adjacent to a defunct Caltrain station. It's great for kids and has a really nice cafe, ideal for VC meetings and networking.
Has anyone switched from Claude 4.7 Opus or ChatGPT 5.5 to this?
How does it feel? Dumber? Worth it for the speed? I'd love someone's subjective take on it, after doing a long session of coding.
Reiner Pope gave a talk on Dwarkesh Patel about token economics. I guess faster is a lot more expensive, generally.
Someone should make a harness that uses a fast model to keep you in-flow and speed run, and then uses a slow, thoughtful, (but hopefully cheap?) model to async check the work of the faster model. Maybe even talk directly to the faster model?
Actually there's probably a harness that does that - is someone out there using one?
Is anyone else noticing that the benchmarks for Claude 4.7 don't specify the token window? Cursor, and LiteLLM at my company, limit the token window to 200k.
It feels like to me like 4.7 is not better, and is maybe worse than 4.6 when capped to 200k context window.
Does anyone have stats on performance of 4.6 vs. 4.7 when context window is capped at 200k?
I learned years ago that I when I write code after 10 PM, I'm go backward instead of forward. It was easy to see, because the test just wouldn't pass, or I'd introduce several bugs that each took 30 minutes to fix.
I'm learning now that it's no different, working with agents.