co-founder, @coplane - the intelligence layer for the enterprise back office. previously: @Stripe, Google (BigQuery and Kaggle)

Austin and New York
Joined March 2008
If you're excited about helping define what the UX and pattern language for a future of agentic and self-assembling enterprise software, please reach out!
We're looking for NYC-based design engineers to join our small, talent-dense team. This is an opportunity to define the frontier of HCI. We're building the platform for self-assembling, self-optimizing software already in production with consequential enterprises. Our eng team is made up of folks who have built and maintained large open-source projects like Neovim and Analytics.js and scaled massive data systems at companies like Google, Stripe, Wix, and Segment. DM if you are interested or know someone who might be!
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Victor Mota retweeted
models do not produce simplicity. they hedge, for completeness. that's your value. the lack of this skill is called AI slop.
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Pumped for this. Between @colossusmag recent incredible profiles and WIP expanding into business and finance - we're seeing an explosion in high quality long form business content.
Some big personal news: I'm moving to join Works in Progress as executive editor, starting next month. I have been hoping for an opportunity to work with @bswud and @s8mb for more than a decade, and I'm incredibly excited to finally have one. WIP is expanding on every front right now. We'll soon begin coverage of business and finance, as well as putting out more reported features. To that end, we'll be hiring more writers and reporters in the year to come. I'm planning to remain based in the US to help build out our presence here. The print edition of WIP has existed for less than 12 months, but sometime in the next week or so we will reach our 10,000th paying print subscriber. It's a group that now includes people who've been at the highest echelons of government and who run the world's biggest public companies. We’re already on track to 3x that number next year. We'll be in store at Barnes & Noble, Hudson News and independent newsagents next week too. I think WIP is providing something that people are craving from physical media right now: fewer, extremely well-crafted pieces in a beautifully designed form. Issues now feature an amazing group of columnists, including Tyler Cowen, Dan Wang and Stephen Kotkin. Each edition is better than the last. You'll see us in more and more places next year too. In January, our new weekly documentary films will launch on YouTube. We're expanding into the events space, with a new series in North America. The sky is the limit from here on out.
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Absolutely love this write up and matches what made my early career successful. Most of it boils down to be incredibly curious, and really *really* care!
My first project as a new grad at @stripe was a service to turn chargeback evidence submitted through our API into PDFs and fax them to our banking partners. I'd never seen a fax in my life. It was nobody's dream project, and I was sure I'd get fired, so I went deep. I learned how much complexity we could hide behind a simple API, even when our banking partners still relied on paper faxes. Two years later, I got to build the first version of Stripe Radar to stop fraudulent chargebacks in the first place. You often don't get to choose where you start, but going deep, becoming the expert, and earning the trust to take bigger swings is still a great way to build a career. AI has changed how we work, but I don't think it's changed that playbook. @vikrams039 wrote the guide I wish I'd had as a new grad: vikramsingh.me/increase-your…
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I think part of the trough of disillusionment in agentic coding comes after peak AI psychosis of 100 threads of extra-max-ultra agents doing incredible things only to realize you’re still not getting anywhere. After that though, comes the clarity of realizing figuring out what problems truly matter is still the bottleneck. > Always has been
I think most people multi-tasking with agents could benefit from slowing down most of the stuff you're doing wont really matter- what's your P0? what would it look like if you gave it your full attention?
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🥲
one day you wrote console.log("here") for the last time and didn't even know it
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Victor Mota retweeted
Your CEO wants to know what finance is doing with AI. Your team already uses it. But it stops at the edge of your ERP, bank and portals. Meet Actions by CoPlane: AI that works inside those systems, with your team approving every change. coplane.com/perspectives/int…
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Victor Mota retweeted
(Everyone on our team still reads code.)
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As the models have gotten much better as making changes, the engineering work has moved to: - broadening the scope of change: pushing for refactors and rethinking when changes are awkwardly incremental and narrow - narrowing the scope of change: simplifying, reducing, trimming - allocating resources and attention: the cost of doing things has dropped, but that doesn't mean you should do everything - and yes, to some degree, "factory engineering" but imo it's overstated
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Grit predicts success even after IQ is accounted for. Persistence adds what talent alone does not.
mental trick with huge impact no one is better than you. no one is smarter than you. no one can work harder than you. the only reason someone is better than you at something is that they have been doing it for longer. remind yourself of this often, you will turn your life around
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Incredibly important and, surprisingly, underinvested in work
Claim: we've solved the AI slop problem (!) 💩🧹✨ Blog post: facebookresearch.github.io/R… 🧵1/5 Key idea: take *expert* human writing and learn rubrics that find the gap between experts and models. Train with those rubrics. We train with RL-XAR (RL with eXpert Aligned Rubrics) & see large performance gains on writing scientific paper sections, Pulitzer prize novel continuations and high quality Wikipedia pages.
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Victor Mota retweeted
We instituted an official AI Writing Policy at @Clay. Massive thanks to @sophiebits on our engineering team who wrote this. Originally this was just for eng, but other teams found it so helpful we expanded it company-wide. Here are the four guiding principles: 1. You must stand behind every idea and sentence It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it. 2. Writing is thinking Spending time on the writing process teaches you more about your topic. If you circumvent this process, you will walk away with a poorer understanding of the subject matter. 3. More time should be spent writing a document than consuming it If you generate a document from a short prompt then ask your readers to go through the longer output, you are disrespecting their time. They can talk to ChatGPT themselves if they want to. 4. Longer is not better AI makes it easy to generate long docs, and it loves padding them with sentences that say nothing. If you're producing docs from a short prompt, consider just sharing the prompt. You can read (and borrow) the full policy below. Hopefully we all communicate a bit more clearly now :)
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Victor Mota retweeted
I have mixed feelings about this talk. The bits about appreciating both what was and what's to come is great. The parts where he talks about vibe-coding huge codebases in a language he can't even read are...more worrisome. youtu.be/vDjW_dRyKXY?si=uao-…
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Victor Mota retweeted
I guess the thing I feel is missing from @dhh's take here is all the tradeoffs of this approach. He mentions security in his talk, but it's not just security! With the models as they stand today, the approach of building without understanding will make lots of mistakes!
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Victor Mota retweeted
/5 What's more, each model has its own "accent". A second classifier picks the right author (one of the five models, or a human) 79% of the time. Random guessing is 1 in 6 = 17%.
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💯
"Sorry for the delayed response! Middling generative AI has fundamentally altered the strategic balance between offense & defense in the war for our attention, so I have chosen to ignore this messaging channel. Out beyond kino & slop, there is a field. I'll meet you there."
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“And that distinction matters”
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“because what does a beautiful thing tell you? Well it tells you the person who made it really cared… And so if you care about the infrastructure being holistically good, indexing on the superficial characteristics that you can actually observe is not an irrational thing to do.” @patrickc
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