shishy
Introducing Clairic, a new System One class of extraction models
I ask because I've pushed some of this to the limit in my own testing and when I get the right building blocks / primitives in place in the repo, I'm able to get plans written in a way where I don't just describe what I want but specifically mention outcomes, verifications, constraints, etc. that utlimately describe the shape of my system and my intent.
My plan is my understanding of my system and the changes I'm making, and the execution of that plan (e.g. with subagents), verified against my spec, is the code itself.
With the correct building blocks, I've found that frontier models can write code in fairly predictable ways that lets me maintain my understanding and confidence in pretty large PRs.
I think perhaps the quoted part of your post seems to imply it's not possible / isn't phrased with that nuance?
Aren't Anthropic models used in project maven: https://en.wikipedia.org/wiki/Project_Maven ?
2026 Cosmos HAI Lab Lecture with Jack Clark, Co-Founder of Anthropic [video]
We Are Not Language Machines
Serendipity Machines
The Possessed Machines: Dostoevsky's Demons and the Coming AGI Catastrophe
Worth getting on your radar if this stuff is of interesting: https://aria.org.uk/opportunity-spaces/collective-flourishin...
(full disclosure: I'm working with the programme director on helping define the funding programme, so if you're working on related problems, by all means share your thoughts on the site or by reaching out!)
what a ridiculous statement
The Bazaar of Scientific Knowledge
A New Scientific Operating System
But for something like that you need full texts to look into results sections. I'm very curious how you're dealing with information contained in tables, or if you're dealing with snippets of text from the full-text alone. Have you poked around Elicit yet?
The art culture is incredible. Two of our favorite artists spent a considerable amount of time there, so we made a few trips when researching trying to find pieces.
A lot of these discussions focus on craft in engineering and there's lots of merit there regarding AI tools and how they change that process, but I've found that folks who enjoy both the product side of things and the engineering side of things are thriving while those who were very engineering focused understandably feel apprehensive.
I will say, in my day job, which is often at startups, I have to focus more on the business / product side just given the phase of the company. So, I get joy from engineering craft in side projects or other things I work on in my own time to scratch the itch.
Yes, and in an earlier post Ben made that argument and said that the broader conversation on tariffs has been straw manning and wasn't trying to understand where they were coming from. He did more or less agree that the post-ww2 and post-nixon economic setup created this and articulated why it's problematic.
His thesis is just that this approach is wrong, and that it's hard to unpack the reasons because you don't know what to trust: is what the admin says a PR problem, a bad argument, directional or literal, etc.
Here's the older post (the one I shared in this thread was a continuation): https://stratechery.com/2025/trade-tariffs-and-tech/
American Disruption
If you see this way later and are interested, of course feel free to write me a note. You never know :)
Anyone who has shot photos (film or digital) knows how much effort goes into the editing process.
I love her photographs and her story, I just find it fascinating to think about this detail, especially when contextualizing her with other artists.