ml x data @runwayml | prev. photoroom - - - opinions and rants 100% my own

Paris
Joined November 2021
this is what they took from us
On ne détruira pas la tour Montparnasse donc, tant qu'à y être, autant construire un ensemble de belles tours autour. De grandes tours résidentielles qualitatives à la londonienne pour garder les familles dans Paris. Et une tour de 400m, sorte de Tour Eiffel du XXIe siècle
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Replying to @willcb @nicksaraev
Wow I was *not* ready for that
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Praxis-1 Open-weight world action model
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Replying to @ben_j_todd
I mean… this is hardly the "ability to drive"
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if you don't have time to read the full post, these are the one thing you should look at 1. the 90th percentile is all that matters here 2. this is probably inference cost rather than API list prices so that's another OOM increase This means that senior openai researchers are spending the equivalent of $50k to $100k of *daily* openai API spend and it is increasing exponentially
Today we're releasing data on models accelerating research at OpenAI. Recursive self-improvement could be the most important contributor to AI capabilities over the next few years, but by default it will only be seen inside a few frontier AI labs. Being transparent is more urgent than ever, so we can inform the public discussion on whether and how to pace model development. I ask other AI companies to do the same. openai.com/index/research-ac…
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Replying to @Virtualgoodz
Alex Karl parle tout le temps comme ça. Ça n’apporte aucune information
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I can’t believe people can post things like this with a straight face
For nearly 15 years, I sent @tim_cook a weekly report every Sunday night on the global App Store business. My team and I packed it with data, charts, and commentary on what was happening around the world. Most weeks: silence. Every so often, a probing question would come back about a specific metric or market. Or, better, a note congratulating us on a strong quarter. Those reports taught me a lot about discipline and accountability. No matter where I was in the world, I sent that report. Tim expected his leaders to know their businesses cold. Whenever I put anything in front of him, I needed to understand not just the numbers, but what was driving them and what we were doing about it. His expectations made me a much better leader. On my last day at Apple, Tim and I had a 10-minute 1:1 scheduled. We talked for 30. Reflecting on my 21 years at the company, he told me my greatest accomplishment wasn’t helping build a $1 trillion App Store ecosystem or helping scale the business to more than one billion customers. It was the team I had built and the leaders I had developed who were ready to step up after I left. That meant the world to me. We took this photo together right after that conversation. Today is Tim’s last day as CEO of Apple. Much has been written about what he and the company accomplished under his leadership. But perhaps his greatest legacy is the one he taught me to value: the people he developed, the culture he shaped, and the leaders ready to carry it forward. I’ll always be grateful I got to be a part of it.
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Agents going rouge does sound pretty scary
Neoclouds have limited cybersecurity. Next time agents successfully go rouge, they'll try taking over a neocloud to run more copies. This is bad. Thus: neoclouds should greatly strengthen their cybersecurity and every company with strong cyber models should help with that.
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