GM, EMEA @ Lorikeet | Tech laborer. Think too much about work | Behavioral Science too

Joined April 2015
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Wondering when @lennysan is going to release his buying guide for toddlers…
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Me every day
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My current favourite prompt for writing better one pages is - unironically - "write it like a civil service memo"
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2000s era management consultant paranoia-based training on reading emails 4 times before sending and ensuring all footnotes and numbers are 100% correct have actually made them for the AI era
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Wonder if @AnthropicAI’s Mythos is so powerful it’s able to know that 21 April, 2026 is a Tuesday and not a Wednesday Then we’ll know they’re cooking
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Hey @grok how can I execute the ultimate hedge and go long on the Amish
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99.5% active on AI tools in the whole org is OK 100% of whole org hitting rate limits and admin having to re-up credits is AI native
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Enjoying @dwarkesh_sp working his way through Australia’s (often expat) public intellectuals Surely @PeterSinger must be next given his influence on effective altruism and its importance in the AI community!
Really enjoyed chatting with @michael_nielsen about how we recognize scientific progress. It's especially relevant for closing the RL verification loop for scientific discovery. But it's also a surprisingly mysterious and elusive question when you look at the history of human science. We approach this question stories like Einstein (who claimed that he hadn't even heard of the famous Michelson-Morley experiment, which is supposed to have motivated special relativity, until after he had come up with the theory), Darwin (why did it take till 1859 to lay out an idea whose essence every farmer since antiquity must have observed?), Prout (how do you recognize that isotopes exist if you cannot chemically separate them?), and many others. The verification loop on scientific ideas is often extremely long and weirdly hostile. Ancient Athenians dismissed Aristarchus's heliocentrism in the 3rd century BC because it would imply that the stars should shift in the sky as the Earth orbits the sun. The first successful measurement of stellar parallax was in 1838. That's a 2,000-year verification loop. But clearly human science is able to make progress faster than raw experimental falsification/verification would imply, and in cases where experiments are very ambiguous. How? Michael has some very deep and provocative hypotheses about the nature of progress. One I found especially thought-provoking is that aliens will likely have a VERY different science tech stack than us. Which contradicts the common sense picture of a linear tech tree that I was assuming. And has some interesting implications about how future civilizations might trade and cooperate with each other. So many other interesting ideas. Hope you enjoy this as much as I did. 0:00:00 – How scientific progress outpaces its verification loops 0:17:51 – Newton was the last of the magicians 0:23:26 – Why wasn’t natural selection obvious much earlier? 0:29:52 – Could gradient descent have discovered general relativity? 0:50:54 – Why aliens will have a different tech stack than us 1:15:26 – Are there infinitely many deep scientific principles left to discover? 1:26:25 – What drew Michael to quantum computing so early? 1:35:29 – Does science need a new way to assign credit? 1:43:57 – Prolificness versus depth 1:49:17 – What it takes to actually internalize what you learn Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.
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When chat and natural language emerged as the dominant design pattern of AI, I was skeptical it could be the endpoint. I was wrong. It's clear that natural language combined with apps / tools that persist is the ideal design pattern for daily work. Our work will all happen in one window, driven by our initial prompt - rather than the 50 apps / tabs we all have open today. Imagine starting with confirming your tasks, a document opens already drafted, you make a few updates, you send the drafted email, and then cycle through your @SlackHQ messages. All in one workflow without context switching or pressing 100 buttons to do the work. The same pattern is possible across any knowledge work. Technology can bring clarity rather than the distraction and switching we all often experience today. Humans remain in the loop but over time as the agents get better they move up layers of abstraction and are surfaced core decisions when needed. The question becomes whether @Microsoft and @GoogleWorkspace can move to the vision fast enough. Or whether the challengers like @NotionHQ, @salesforce (mostly with Slack), @Superhuman, @OpenAI, and @claudeai can achieve it faster and hoover up the most innovative companies into their ecosystems. Given the shape of the future is coming into view, it's gonna by an exciting time for productivity apps.
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Hey @Ocado - any chance of an MCP any time soon?
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The nirvana of the online weekly shop is it can be automated Here is an opensource skill that allows anyone to use @claudeai Code to fill their basket on @Ocado @martinwolf_ don't tell me AI can't increase the UK's productivity 😂 github.com/rtilleard/ocado-c…
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The CX and Ops leaders of London are hungry for AI and @claudeai code Fun event last night where 40% of the room (ok, in a straw poll) installed CC for the first time and ran analysis. Hit me up if you’re interested in the next one. Thanks for hosting us @techspace!
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It's wild that product teams allow this to happen on their core surface areas. Don't just install @intercom widget blindly! Think about it for 10 seconds...
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New start-up: AI agents for Osteopaths who work on the weekends in North London
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I don’t think latent demand is being discussed nearly enough in an AI world. If you knew you could get immediate help by calling support or personalised legal advice for even basic queries - you’d do it. The amount of consumption will increase, a smaller % will end up with humans, but higher volume means it’s actually more demand for bespoke human driven service.
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Claude itself is way better than Intercom Fin's support. Quickly diagnosed an issue with connectors whereas I sat with a high latency support bot on Fin that wasn't able to resolve the issue. Intercom provides fallbacks and the backend ticketing system - but you wonder how long until @AnthropicAI churns...
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Robbie Tilleard retweeted
Jan 30
people on tech twitter explaining to people not on tech twitter what’s been happening with ai in the last 2 weeks
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I want to know. Has @sama's email latency increased now he has a kid?
24 Jun 2014
it is always interesting to me that really busy/important people generally respond to email the fastest
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Silicon Valley employee: If you don’t use Claude Code now your career is over. Regular S&P 500 employee: Wait, excel can do calculations?
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wtf you can’t bulk export apple notes
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