
Director, Finance AI & Automation Business Strategy @abbvie. Building emotionally intelligent agents. Proudly šæš¦. Dad of 3. Opinions are my own.
Joined May 2017
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I absolutely love this.
āSolve intelligence and use it to solve everything elseāā @demishassabis
I love systems. Without structure it becomes impossible to measure. Thatās why @avthar post is excellent. Well worth a read.
i remember early in my career wondering why most people missed out on building early internet products
but i look around now and i get it
so many people fiddling around with "my custom agent setup" and so few using this miracle of a tool to actually do anything
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Okay, okay⦠I have to admit it. šš„
The Tesla Roadster opens up some absolutely INSANE possibilities.
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The older I get, the more I realize that the single greatest challenge for any ambitious person is eliminating the guilt associated with free time and rest.
for the last 20 years, āknow your customersā has meant āknow what percentage clicked a buttonā or āwhich customers leave at what rate.ā
we've been making product decisions by compressing thousands of different experiences, problems and needs into a few numbers. a lot gets lost. the same chart can describe a product people love or a complete disaster.
why are people coming back? because you made something they love? or because they found a way to squeeze money out of it? both can produce beautiful retention charts. you should probably know which business you're running.
agents make a much better way possible. you can follow every user and every interaction. where they got stuck, what failed, what they loved. then fix the individual problems and do more of what's working.
we do this at spawn. our agents follow every user and surface a ton to me, and i'm talking to players and creators all day.
someone recently asked me for a few numbers about the business. some came back much stronger than even i expected. i'd been following what was happening to the people. i hadn't put all of it into charts.
i think this becomes normal. numbers still help explain the business, but averaging everyone together feels like a pretty bad way to understand your customers when you can actually pay attention to all of them.
fundraising gets interesting here too. founders spend weeks squeezing a company into 15 slides. investors then spend weeks trying to reconstruct the company from those slides.
why? let your agents and my agents talk shop. dig into the actual business, the individual stories, the ugly parts, whatever you want.
the lossless era.
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Thereās something beautiful about the most expensive game of all time ($2B) being dropped the same month that AI models became capable of creating comparable experiences.
The swan song for the Big Studio Era.
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Being a dad is just telling yourself āitās been an expensive month, weāll get back on track next monthā over and over again until you die
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Weāre supercharging Copilot on Windows with Hybrid Intelligence.
With your permission, Copilot can tap into the context on your PC, take action for you, and use local models when it makes sense, giving you more capability while helping your tokens go further.
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Had early access to the Intelligent UI experience and it was a nice change from walls of text. It also suggests that, increasingly, we are going to see interfaces built on demand for the problem that you have.
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I think most people who have been closely watching AI for the past few years are likely surprised by how relatively rare terrible AI incidents have been, given a billion users overall and hundreds of millions of corporate users. Doesnāt mean that will continue, but surprising.
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Replying to @natlungfy
Itās already annoying running Hermes Agent or OpenClaw on a Mac due to constant TCC prompts, prompts to run a script, prompts for calendar access, prompts for reminders access.
I guess not a surprising reaction from Apple, but as the owner of the machine it should be my informed choice what to allow.
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šØ Florian Wirtz reveals what Jürgen Klopp told him after the match against Serbia:
šļø āAfter the final whistle, Klopp came straight to me and just hugged me. He didnāt let go. For a few seconds, he didnāt even say anything he just kept holding me and telling me how proud he wasā
āThen he looked at me and said, āThatās my Florian. Never doubt yourself. I know what you can do, and tonight you reminded everyone.ā Those words meant a lot because the last few games havenāt been easy for meā
āHe hugged me again and said, āForget the goal now. Remember the feeling. This is what happens when you trust yourself.ā I honestly didnāt know whether to laugh or cryā
āKlopp didnāt celebrate the goal with me like a coach. He celebrated it like someone who genuinely believed in me when I needed it mostā
Learning how to layer in context is a grossly
undervalued skill. Itās hard to measure because it is mostly based on intuition. What do you need to feed an LLM in order for it to get richer over time.
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For years, maybe a decade, I've wanted to build a writing tool that just did a few things I couldn't find anywhere else.
A system that mimicked how I think when I write. A system that provided clear affordances, features, and places to do the things I wanted to do. A way to play with my writing as I'm writing it. A way to settle into just the right way to say something.
It never made sense to make it a 37signals product because it's not commercially viable, nor would it be worth pulling people off their other work to hack on this. Plus, it would have taken months the old way.
So this weekend I just made it myself, with Claude's help.
It's called Write_On and the short video walks you through it.
Essentially it's "alternative control" at the word, sentence, and paragraph level, plus a way to dim stuff back, and stash stuff near by. Not version control, but alternative control. You'll see what I mean when you watch the video below.
So here it is. Write_On.






















