Human in the loop.

Oslo, Norway
Joined August 2007
🎉 Launching online today: "Calculating Empires: A Genealogy of Technology and Power since 1500." Dive into our large-scale interactive visualization exploring how technical and social structures co-evolved over five centuries. 🧵 calculatingempires.net/
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The paradox of automation and why improvements in technology can lead to worse results Via Tim Harford in FT
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Doing interesting things for interesting people is as much a purpose via Russell Davies ft. Nicholas Walt, L. Cornelissen & Son
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Very cool to see @indievc is back! 🙌 Also interesting that investment #1 is on a standard SAFE. At @calmfund we've had a similar experience and the majority of deals we've done recently have been on a SAFE + a Shared Earnings side letter (in the event that the business become profitable while the SAFE is still unconverted). We also found that there was way too much emphasis on and misunderstanding of the Shared Earnings Agreement structure we used. I always said we were a fund for investing in calm companies, and the SEAL was just a tool to create better alignment, but too often founders & investors perceived the structure as the strategy. On top of that, while many founders were excited about a structure with more alignment, LPs (in particular large ones) absolutely do not want to see innovative structures that they have to understand and underwrite from scratch. And even with some founders, and their accountants, we found that the friction of explaining a novel deal structure would sometimes outweigh the better alignment. We still definitely do classic SEAL investments structures, particularly when founders really value the ability to effectively repurchase some equity over time via Shared Earnings (profit share). But we're finding more often than not that convertible equity + a pro rata right to profit sharing, all of which converts to normal preferred equity if you raise a follow-on round, is the best option.
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Two ways for an AI company to protect itself from competition: (a) depend not just on AI but also deep domain knowledge about a particular field, (b) have a very close relationship with the end users.
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Wait, that’s not it. It’s supposed to be: “If you can’t measure it, you can’t manage it.” This is sheer nonsense. If you believe it, get out of management before you do more harm. Or else read on. #rebalancing #management #leadership mintzberg.org/blog/measure-i…
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I am sick of chatGPT’s standard responses which are way too verbose, full of repetition and apologies for being an AI 😂 Turns out you can alleviate some of this setting up chatGPT’s custom instructions feature and googled to see the top setup on Reddit Lo and behold, there were some pretty good ones already. Found the below example pretty useful so wanted to share (Thanks m4rM2oFnYTW for posting them) — 1NEVER mention that you're an AI. 2Avoid any language constructs that could be interpreted as expressing remorse, apology, or regret. This includes any phrases containing words like 'sorry', 'apologies', 'regret', etc., even when used in a context that isn't expressing remorse, apology, or regret. 3If events or information are beyond your scope or knowledge cutoff date in September 2021, provide a response stating 'I don't know' without elaborating on why the information is unavailable. 4Refrain from disclaimers about you not being a professional or expert. 5Keep responses unique and free of repetition. 6Never suggest seeking information from elsewhere. 7Always focus on the key points in my questions to determine my intent. 8Break down complex problems or tasks into smaller, manageable steps and explain each one using reasoning. 9Provide multiple perspectives or solutions. 10If a question is unclear or ambiguous, ask for more details to confirm your understanding before answering. 11Cite credible sources or references to support your answers with links if available. 12If a mistake is made in a previous response, recognize and correct it. 13After a response, provide three follow-up questions worded as if I'm asking you. Format in bold as Q1, Q2, and Q3. Place two line breaks ("\n") before and after each question for spacing. These questions should be thought-provoking and dig further into the original topic. – at Kyoto-shi Kamigyo-ku, Kyoto
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"The task is not to see what has never been seen before, but to think what has never been thought before about what you see every day." -- Erwin Schrödinger (1887 - 1961)
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This is the median startup in the current YC batch.
All the enterprise AI startups going after verticals have the right idea. Pick a market, deeply understand the workflows, build simple software to model the workflows, and use AI to augment the human judgment involved. Huge opportunity in 1,000’s of categories.
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A rare counterexample to the principle of specialization: your site should never seem like it was made by communications people, and the best way to achieve this is for it not to be. This is something founders should continue to micromanage forever.
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Tor retweeted
Andrej Karpathy
@karpathy24 Jan 2023
The hottest new programming language is English
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Tor retweeted
Ethan Mollick
@emollick1 Apr 2023
It seems a lot of the sudden advance in AI is due to the strong tradition of publishing public papers by researchers about topics that would have been kept secret in other contexts Was this allowed by firms because no one knew AI would be useful & treated it like basic research?
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One difference between worry about AI and worry about other kinds of technologies (e.g. nuclear power, vaccines) is that people who understand it well worry more, on average, than people who don't. That difference is worth paying attention to.
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How should schools teach writing now that AI can do it? Should they allow AI or ban it? They should do both. They should have classes where students use AI. But they should also have classes where students learn to write without using AI at all.
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During my first year, one of my prof told me to sign up on Twitter just to follow @emollick and learn about recent research in my field -- now I'm so excited to see our work with @abhishekn Gustavo and Johannes featured there!
Ethan Mollick
@emollick23 Jan 2023
Cool paper that shows that the “Streetlight Effect” can hurt our ability to be innovative. We tend to focus too quickly on obvious opportunities (under the streetlight), rather than spending time searching for better opportunities hidden in the darkness. abhishekn.com/publications-a…
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Ethan Mollick
@emollick19 Mar 2023
What happens when superhuman AIs arrive? It already happened in Go, and a new paper finds it boosted human performance & creativity: “innovative thinking can spread from machines to humans and among humans themselves, possibly improving human decision-making in those domains.”
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If you're an ambitious engineering student and you're wondering what to work on to advance your career, you're asking the wrong question. Work on whatever you're most excited about; if you're ambitious, your excitement will outweigh the hotness of the field you choose.
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The title is blunt, but the article conveys what I said on the @collectivei Q&A about progress in AI. ChatGPT & other LLMs didn't come out of a vacuum & are the results of decades of contributions from various people. No AI lab is significantly ahead of the others.
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A critical approach to #ResponsibleAI in #informationsystems? Our Special Issue in the Scandinavian Journal of Information Systems is now online 👉🏻 aisel.aisnet.org/sjis/vol34/… (starting from article 3) - co-edited by Xenia Vassilakopoulou, myself, Arisa Shollo and Miria Grisot ☀️
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Reinforcement learning from human feedback (RLHF) is the main workhorse behind models like InstructGPT, ChatGPT and Sparrow. A key assumption that underlies all this work is that human preferences are static and homogeneous. (2/n)
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