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.

You can choose to be as charitable as you want with your lense on this. Incentives within all organizations lead to a certain class of worker taking over. From the "getting things done" perspective I like the lense of insurgents vs. gatekeepers from this interview:

https://www.piratewires.com/p/paul-buchheit-interview-transc...

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

commercial license - the research group formed a corporate entity that licenses the body model and all derived work (SMPL-X, etc.): https://meshcapade.com/SMPL

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.

It's true, lack of highly available public transportation between the cities puts us behind other regions (not to mention other countries). I've been doing the ATX -> HTX drive for years.

Best private alternative I've found is Vonlane (https://vonlane.com/) - takes longer than flying but it's a business class bus so you can get work done.

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)

This is great, but how is your performance on multi-table joins? We've been working on a homebrew solution using OpenAI internally conditioned on our schema, and can't bridge the multi-table gap.

Also I'm skeptical if this generalizes, do you have measures in place to prevent query hallucination?

I understand this is point-cloud diffusion but Ajay Jain et. al. (BAIR + Google Research) accomplished the first version I saw of this back in June with their Dream Fields paper (CPVR'22).

As always this goes to show that if you can't be the first, be the loudest. OpenAI has the most well oiled media machine I've seen in awhile.

Seeing the waves of publicity OpenAI gets with every new release, I think we're seeing a new model for big-tech AI research groups. It isn't enough to just hire world-class research talent that publish area-defining papers. There has to be a commensurate investment in media to publicize the research. Obviously, if you don't have the research, you have nothing to market. But it should say something that OpenAI prioritizes great design, communication, and publicity in addition to the world-class research team. It wouldn't surprise me if we see Google AI / DeepMind / FAIR / double-down with their own investments to expand the media presence of their AI orgs.

[1] https://ajayj.com/dreamfields

Uses coordinate-based neural networks to model the scene volumetrically. However, in the case of this paper does not use an MLP to represent the scene. Instead, proposes to directly learn a voxel grid representation.

For an excellent review check out Advances in Neural Rendering: https://arxiv.org/abs/2111.05849

my hypothesis: iced coffee

Note of reference for readers who may not be as familiar. One (pytorch) process is: 1) Use torch.onnx to convert the model to ONNX 2) USe `onnxruntime` built for Web Assembly (WASM) to run the NN in the browser

Need time to digest this paper, but you can assume if it's from Schmidhuber's group it will have some impact, even if only intellectual.

in the vision group at ByteDance (TikTok)... and these kinds of mashups even blow me away. It's amazing to see what flexible tools, tight feedback loops, and global scale produce. reminds me of middle school where we would work together on stick fights in pivot animator, but so much more elaborate

I was responsible for implementing Conjoint, Van Westendorp, and Gabor/Granger for a certain well known survey company.

A few thoughts:

Conjoint isn't typically used for pricing, but for finding the attributes of products that maximize consumer desire / utility

Conjoint is a hierarchical Bayesian method... so also Bayesian Optimization

I like the idea of a continuous optimization via API rather than a survey, tightens up the feedback loop for smaller SaaS products

You're going to want to get some academics to back your theoretical grounding - it's actually a sales thing if you're ever trying to sign larger contracts.

There is no such thing as a "fair" price, just the market price

How do you prevent users from feeling cheated when they realize someone else may get a different price? Or worse, just refreshing until they get the lowest price for the tier they want? This is probably the biggest sticking point of your service - larger companies probably can't get away with changing prices after launch.

Congrats on the launch!

As someone who came out of the same "prestigious and selective place as you", this take hits hard. I will say, part of what you learn doing research is if you even enjoy doing research.

You play to win the game.

Love the artwork!

This is great!

I can't tell if this is in jest... if you're actually interested, the role of HFT in markets is hotly debated. The HFT side argues that they improve markets by providing liquidity - and that's true to an extant, spreads have narrowed drastically over time. And yes, there is the opposite side arguing they are purely "parasites", and exchanges like LTSE have been built specifically to counter HFT (Flash Boys, etc.)

Perhaps I don't like the word "criminals" being thrown around so loosely.

waxing poetic is one of my favorite hobbies. combination of climate, closer to hiking, and jobs

COVID. they closed the Lake Austin location. There's still one on Soco

My parents still remember when this happened! For me it was losing Magnolia Cafe at the Lake

Native of Austin here, moving to SF. I can only speak to the trends I'm personally seeing, but the flood of tech money into Austin is sweeping my favorite parts of the city away. The places that filled the nooks and crannies in the city are getting replaced by fonts. Put up a steel and glass building with a cafe in the bottom, slap on an "indie-western-hipster" font and boom, we're still "keeping Austin weird". My parents moved to Austin after law school to avoid the money-culture in Dallas and the humidity in Houston. But you can't outrun the money culture forever; it's relentless at finding pockets of cool to sell.

The tech wealth moving to Austin is a certain type of wealth. It's largely the wealth that is socially liberal, but sure as heck likes the low taxes. For them, Austin is having your cake and eating it too. You get loudly decry everything the state government does while silently enjoying the tax and business environment. It's uniquely Austin seeing how people take comfort knowing if the Austin mayoralty swings too far left that the Capital will crack the whip. It's a win-win all around.

People forget that South Congress was grungy for awhile. People forget that Liz Lambert took a big risk when she bought the motel there, that ACL was only one weekend, and that Whole Foods started here. Before all this, Austin was anchored by the Capital and UT, but now we're getting a SoHo House down the street from the Equinox. And Oracle has a new skyscraper, cool. If I had to bet, it's only a matter of time before we start putting up skyscrapers up North near the Domain where the Amazon's and Apple's are setting up.

And when y'all move here anyways, try to leave Austin weirder than you found it. This is a great city.

This essay is both extremely poignant and nearly unintelligible, which is a vibe.