Principal Nerd @boringnerds, founding engineer @nova_ai, author. @paulmodderman.bsky.social

Minnetonka, MN
Joined November 2014
Paul Modderman retweeted
We’re hosting a happy hour this Thursday (Oct 15) in NYC, bringing together top engineers from OpenAI, DeepMind, Jane Street, Jump Trading, and more. Drinks, food, poker, and good company at @nova_ai’s HQ. A few spots left — reach out if you’re interested.
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Paul Modderman retweeted
I'm hosting an invite-only dinner for talent at the frontier of AI, with engineers from Anthropic, DeepMind, Jane Street, + more. Have a few spots left. Who else should I invite? Join us for a italian-japanese fusion tasting menu and great drinks Sep 17 @ 7pm in NYC. Co-hosted by @Accel, @chemistry, and @Nova_AI.
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Paul Modderman retweeted
Come join us for dinner on Sep 17 in NYC — a great group of engineers from Anthropic, DeepMind, Jane Street and more. A few spots left, reach out if you want in!
I'm hosting an invite-only dinner for talent at the frontier of AI, with engineers from Anthropic, DeepMind, Jane Street, + more. Have a few spots left. Who else should I invite? Join us for a italian-japanese fusion tasting menu and great drinks Sep 17 @ 7pm in NYC. Co-hosted by @Accel, @chemistry, and @Nova_AI.
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yapcoding
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
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Paul Modderman retweeted
The largest companies in the world run on SAP. Now there’s an AI platform built for it. Nova Intelligence gives SAP teams superpowers — accelerating process design, development, and production support so they can move faster, with less risk, on the work that matters most. The result our customers see: a 3–5x productivity increase across everything they do. Festo, an SAP customer since the 1970s, estimates a 5x capacity increase. KION is seeing major performance gains on production applications. Built by the people who shaped this ecosystem — including Prof. Dr. Alexander Zeier, co-inventor of SAP HANA, and Justin Kershaw, former CIO of Cargill. This is how SAP work gets done from here on out. We’re just getting started. novaintelligence.com @EmmaQian_ @samuely4ng #SAP #EnterpriseAI #SAPHANA #S4HANA #AI
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I think I’d want Claude to be my Speaker, how can we get this into the evals
think about this a lot these days
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Paul Modderman retweeted
Nova Intelligence has raised a $31.5 million Series A led by Chemistry, Fortune exclusively learned, bringing total funding to more than $40 million. bit.ly/4tbPMx1
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So incredibly pumped to be a part of this. It's real - this actually works
I'm thrilled to announce @nova_ai's $40M funding across a Series A led by @chemistry and a Seed led by @Accel, with participation from @conviction and SAP's venture arm SAP.iO.
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Fucking despicable
🚨BREAKING It looks like ICE just shot and killed someone else in Minneapolis.
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I often find myself doing this with Claude. Claude seems more open to it than others
"LLMs writing about the experience of being an LLM" is a moving and fresh genre of writing. This is my favorite example so far.
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and just heard that @swyx joined up too, that would be one helluva fun room to be in
congrats to the very special team @cognition (@ScottWu46 @stevenkplus1 @walden_yan) on their newest fundraise -- and their big deployments turns out competitive programming (and density of intelligence) does translate well to company-building
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Confused by the latest SAP "clean core" hubbub? Let's break it down and crack it wide open! How did 3 tiers become 4 levels and what does it mean for you? Only one way to find out: watch it! #SAP #ABAP youtu.be/wKl_qFmR9l0
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Every business needs this, like, 18 months ago
We are opening up a new role at Quora: a single engineer who will use AI to automate manual work across the company and increase employee productivity. I will work closely with this person.
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“…there’s a good chance that, when we look back on this era in human history, AI will have been the thing that matters.”
I wish more people were taking seriously the possibility that @ezraklein and the leadership of the AI labs are raising: that AGI is a real possibility in the near future. You don't have to buy it yourself, but leaders & policymakers need to consider the possibility it is true.
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I’ve enjoyed this whole discussion. I especially appreciate @AmandaAskell ‘s formulation in the first sentence of this tweet. I’m often not sure how to respond to those who make the same inferential leap, and this formulation helps my communication. Thank you, Amanda.
I claimed the inference from X="LLMs are next token predictors" to Y="LLMs lack understanding, etc." is fallacious. Marcus claims that I'm saying not-X and not-Y. So I guess I'll point out that the inference "Y doesn't follow from X" to "not-X and not-Y" is also fallacious.
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(Because I am in the same camp that she is on this discussion)
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I don’t know what numbers I’d have guessed, but software dev being a top use is exactly what I’d have guessed prior to seeing the data. AI/LLMs might not be perfect software engineers yet, but they sure as hell know about code
Interesting! Based on “The @AnthropicAI Economic Index” (millions of Claude conversations) AI usage is currently concentrated in software development and technical writing. TL;DR: 💻 Computer & Mathematical jobs dominate AI usage (37.2% of queries) despite being only 3.4% of workforce 📝 Writing/editing tasks are second most common (10.3% of queries) 🤝 AI augments human work (57%) more than automates it (43%) 💼 36% of jobs use AI for at least 25% of tasks, only 4% use it for 75%+ of tasks 💰 Mid-to-high wage jobs show highest AI adoption, both lowest and highest wage jobs show minimal usage 🔄 Tasks are being enhanced rather than jobs being fully automated 📊 Analysis based on real usage data from millions of Claude ai conversations 🎯 Usage concentrated in specific tasks rather than entire occupations
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Even if you doubt whether an LLM can truly “think”, to get the best results you should treat it as if it can.
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Knowing what you want and communicating clearly are incredible superpowers. good function calling = good prompting good code output = good prompting clear AI goals = good prompting
The 80/20 of AI Agents is basically: - know xml - know what a webhook is - know how to use an api - be good at prompting Anything beyond that is just model capability + creativity.
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in my experience Claude has easily been the funniest model
Personal highlights from Claude's snarky AI comedy set.
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