@skalskip92 @drivelinekyle “Excellent work, students. Your segmentation accuracy has unlocked Level 12.”
“Cool! What do we win?”
“…Series A funding.”
- something @Austen would say
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John Mark Wendler
2K posts
@skalskip92 @drivelinekyle There is a world where you could gamify annotation as training tasks for kids in curriculum for CV that could feed production use cases, Ender’s Game-style
x.com/drivelinekyle/…
Kyle Boddy@drivelinekyle
The joys of Computer Vision. Or: "Competitive MS Paint"
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there's no catch; SAM3 is open source and really good
one of the things it does really well is object tracking, even in crazy complex scenes like basketball
probably my favorite computer vision model ever
ludwig@ludwigABAP
what’s the catch with SAM models from Meta that no one seems to be using them to build the obvious awesome products one could build on top of them? I don’t get it
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@skalskip92 Fair enough :-)
Trying to follow everything you and @drivelinekyle share to keep chipping away at a water polo pipeline
x.com/drivelinekyle/…
Kyle Boddy@drivelinekyle
we did that! "seam" is not picked up well as you might imagine haha so we fine tuned a few thousand images for that, but "ball" mAP50-95 is saturated out of the box on sam3 YOLO11-seg "ball" is not very good due to how it draws contours/upsamples and never will be, but you can get to 0.8 mAP50-95 with fine tuning we use sam3 for content/visuals and yolo for quantitative work - basically yolo for latency sensitive work and then backfilled w/ sam3 yolo also obv much more deployable at the edge. though after ablation and ripping out most of the text encoder in sam3 you can get it under 3 GB VRAM pressure with quantization
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There’s this thing called “plain text accounting” where you basically keep a ledger of your accounts in text files
Tedious for a human, perfect for an agent
I can’t help but think this is an absolute home run for tracking - specifically with something like a hermes agent (assuming proper security)
I could imagine an agent that keeps a ledger of all my accounts, matches them to receipts in my inbox, then does my taxes and financial reporting
I think we have the tools
Karel@KarelDoostrlnck
going through chatgpt finance is a humbling experience
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John Mark Wendler retweetledi
Tough day for folks (DM me if I can help!) but if I found myself suddenly laid off from a company that cited AI as a cause, this is what I’d do:
- download codex and Claude/code
- say: “this was my job and how I spent my day, how can you help me automate it w skills”
- push a dozen of those skills to GitHub
- open up Claude design and make a portfolio site, with an “agent” per skill explaining how you built it, what tools it interacts with, etc.” give to lovable or v0 or whatever to publish
- post that site and link to GitHub on LinkedIn
- search “ai for ” and try all the new startups, form an opinion, message their founders
- try something scary like openclaw, form an opinion
- take a course in tactical AI in your field
- build, share, build
The gap in AI adoption is getting bigger. Start reskilling now while it’s early.
The time is now.
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@andrew_lautz Have you started modeling TY26 impact yet, like the above the line charity, etc?
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New from us @BPC_Bipartisan: we've seen less uptake for OBBB's auto loan interest deduction than some of the law's other tax cuts. What gives?
📝Reporting challenges
💸Tariffs + rising prices
😔Consumer confidence still meh
All this + an interactive calculator in our new piece.
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@johnmarkwendler @VentureBeat Sounds like they copied Iris (columntax.com/blog/introduci…) 12 months later :)
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Parsing reconciliation and provision filtering moved from weeks to hours. The test framework that made it shippable — and why it matters beyond tax season.
venturebeat.com/ai/intuit-comp…
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Just because it would be hilarious, if a group of people want to organize and do this I’ll cover the cost of all the materials.
You’d have to do it in the middle of the night, but vigilante pothole filling at night in San Francisco is the funniest thing I’ve ever heard.
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@drivelinekyle Keep posting. A+ storytelling. Teams of AI agents solving hard sports problems deserves their own feature film. @drivelinekyle is the @demishassabis of baseball AI
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You may remember (doubt it) that I previously built a webUI for MoA and called it ensemble-llm.
It was quite useful, but building it into an agentic coding harness allows for seamless autonomous integration.
Anyway for the 3 people who read this stuff and care, enjoy.
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Been getting a lot of value out of a /mixture-of-agents skill in Claude Code inspired by the namesake paper from 2024.
I use a Proposer-Refiner-Aggregator workflow with Gemini and Codex CLIs. Helps with deep spec-driven dev workflows.
arxiv.org/abs/2406.04692
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Today is my last day at Replit
A friend of mine once said "you're never on the same team twice." I'm grateful for every single version of the Replit team I worked with
I'm grateful for our users, some of the brightest and most determined out there
I'm grateful for the progress we've made toward our mission to help everyone express their ideas
I'm grateful for @amasad & @HayaOdeh, who gave me a platform to do my best work, @davidhoang, who took a chance on me two years ago, and @pirroh, my manager
I'm grateful for countless current & former employees who I call my friends
Everything I did started with our amazing team & product. None of it was possible without them
I'm taking some time off to touch grass, then it's back to building
Thank you for following along - I can't wait to keep pushing
Until next time ✌️
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One year after Liberation Day, the evidence does not support the administration’s core claims.
Tariffs weren't reciprocal, didn't produce an investment surge, generated less revenue than projected, didn't pay down the national debt, and pushed prices up. taxfoundation.org/blog/liberatio…
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This week is the one-year anniversary of Trump's "Liberation Day."
Instead of focusing on whether predictions made when tariffs were at their peak came to pass, let's ask whether the tariffs actually imposed achieved the Trump administration’s stated goals.
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Tomorrow in the newsletter
Built for partnership GPs or sponsors who aren't tax experts but are responsible for approving K1s
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@loganallec Coffee is for Clauders. Always be Claude-ing
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Yesterday I learned that my staff has already been using Claude Cowork for a few weeks now. Am I cooked?
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@GlenBirnbaum Factory tour pitch:
Left side: workers artfully stacking chocolates, crackers & wine into gift baskets.
Right side: industrial roaster turning raw greens into coffee gold.
Idea: put the coffee IN the baskets and leave it up to §168(n) fate…
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Notice 2026-16 is out on Qualified Production Property. irs.gov/pub/irs-drop/n… #168n
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@justinmilleresq Claude Code->Claude Cowork->Claude Counsel. It's only a matter of time. The product is clearly producing work product that's working for the product's users. But who am I to judge?
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Your consumer AI search (like ChatGPT or Claude) could jeopardize attorney-client privilege and attorney work product doctrine. Per U.S. v. Heppner, it's a voluntary disclosure of privileged info. with a third party that doesn't maintain confidentiality.
courtlistener.com/docket/7187202…
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@skalskip92 @mfranz_on @roboflow It is! I plan on having my water polo playing kids take on the annotations work to improve the models, then put it in front of @USAWP
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Inspired by Roboflow Vision AI trends, I built this app that uses Roboflow CV models to create clips and highlights from sports videos.
Upload a full basketball game or skiing competition video (Olympic winter games), and it generates short clips of the most relevant moments.
Roboflow@roboflow
Most "AI Trends" are just people guessing. We decided to look at the data instead. We analyzed 200,000 real world vision AI projects to see what’s actually happening on the ground. This is the first large scale analysis of its kind, offering a look at the reality of production vision deployments. No fluff. Just benchmarks that you can't find anywhere else. Read the Vision AI Trends 2026 report here: trends.roboflow.com
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@mfranz_on @skalskip92 Needs a little work, but crazy how far you can get in a weekend with @roboflow
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@mfranz_on @skalskip92 The models aren’t generalized at all, but I made a player identification, cap number identification, and pool key point detection. I plan on chipping away at making the datasets more robust to improve accuracy and coverage.
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