goodmattg

Would it currently support Fable 5 via the restrictions Anthropic is placing on usage... because that's my major blocker

I flip back and forth between whoever currently has the more powerful frontier model that isn't cost prohibitive - subscriptions only, API pricing a non-starter. Today that's Fable 5 which has been excellent, as soon as it's Sol I'll switch to that. The OAI/Anthropic harness behavior has mostly stabilized for me with consistent AGENTS.md that I sync with CLAUDE.md - I like pi (pi.dev) and have tried to build it up to get performance comparable to the two "first-party" harnesses, I'm just not there yet.

One major sticking criteria for not going with OpenCode / pi for all of my coding is I want access to the tier-1 frontier model of the day without API pricing - e.g. afaik I can't use Fable 5 via pi harness even though I have a subscription, so for this week I'm on Claude Code. It's not the need to Fable 5 for everything, but even if I just want the marginal intelligence benefit to stress test an architecture decision, it's a safety blanket to know there isn't a ~smarter~ model I could have used. And for my use cases, the doggedness and capability of these frontier models has been insanely effective.

My feeling is we're still in the Uber era subsidy period - the moment the subscriptions either try to lock me in longer than a month or stop OAI/Anthropic stop delivering frontier models in the subscriptions, I'm out - switching fully over to pi.dev or another OS harness and routing my token spend via OpenRouter or offloading to Qwen locally. Then I'll have to put an accurate dollar amount on frontier intelligence.

Fiction:

A Little Life - challenging to read but exceptional

Sci-fi

Three Body Problem trilogy - forget the Netflix series the books are excellent, in my opinion #2 was the peak.

The Glass Hotel, Station Eleven, Sea of Tranquility - anything by Emily St. John Mandel - hard to place but her distinct writing style transports me.

Non-fiction:

American Moonshot - fine The Path to Power - anything Caro writes is worth reading

Perfect weekend read - kudos on a nice piece of writing

I love this! looked into doing a similar project, you're competing against Hudl but using the phone instead of custom hardware (always preferred). Highlight segmentation may be a challenge with SOTA cv methods, but there are lot of directions you can go in.

sweet can't wait to read it! I'll also be at CVPR this year if you're presenting

A few thoughts as I've done academic research & built products in this area:

- if you're using SMPL body parameters this will have to stay research / open-source - is this leveraging some sort of monocular depth estimation to estimate the wall in 3D space? Also, do you have assumed camera parameters, or is that also estimated? If there isn't any depth information, this will be highly inaccurate on any cliff routes, but still useful on flat wall climbing.

Overall, a good idea (that I've also thought about building as a climber) - the tricky part that I'm impressed you have a solution to is path planning up the wall. Even assuming a flat wall with no depth estimation, it's still looks effective.

sell enough units to convince Khosla Ventures that you aren't just burning their money, forcing them to double down on the vision and bring in new investors for the next round. Rinse and repeat until the Large Action Model is either extraordinarily valuable or you've torched all the money.

This is a stellar project

Joining the nuance parade - Google expanded their entry points to Search years ago via Maps and the URL bar.

Do I use Google traditional Google Search (google.com) to find things? Rarely. Do I use Google Maps to find bars / restaurants / order food? All the time.

I guess the nuance is what we're trying to find. LLM's swallowed the listicle - I don't need google.com to find an autogenerated list of "best restaurants in London". But if I'm in London at at lunch, and I need a coffee nearby, it's still useful.

I also purchased and read this. If you enjoy the minutae of scientific advances you’ll love this, but not a page-turner. Also a helpful scientific / historical primer for anyone who wants to understand graphics (pixels, shaders, etc)