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Ends then means. Fear the moment. Build the Culture. 🫡. Head of global industry comms at WPP Media. AI, strategy, design, post labor economics.

Minneapolis, MN
Joined April 2007
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Especially these Circumstances. retweeted
People keep telling us they wish they could audit a UATX class. We heard you. Every lecture of the Rise and Fall of Ancient Rome with UATX Professor Isabella Reinhardt is now free, filmed live in the classroom. Pull up a chair, and watch the full series: connect.uaustin.org/rome-onl…
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This yo team slim❤️‍🩹🐐
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What’s your influencer strategy? What’s your tech bro podcast strategy? Whats your Gas Station TV strategy? Are we doing a live activation with that viral food brand? Are we doing AI replicas? Can we pitch Stavros? Can our product interview Guy Raz? Are we Going Direct?
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Replying to @baileylikemovie
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This is one of the most important pieces of social science on human and AI interaction that I’ve seen in some time. Experts follow agentic advice the vast majority of the time (causally), but only a tiny fraction credit the agent—majority think they came to decision on their own volition. Reminds me of the classic Nisbett and Wilson study on people following outside influence without realizing it “ But as more work is handed to AI—including AI safety research—these judgment calls are the main levers for people's own values to influence outcomes. If people defer to AI without noticing, then "human in the loop" might provide less assurance than people expect.”
New Anthropic research: How AI agents shape experts' judgment calls When experts delegate work to an agent, do they still make the key decisions? We tested this in a randomized trial with 50 professional data analysts.
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Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of drug development. In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences. anthropic.com/research/early…
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NSF is establishing a new Office of Metascience to study existing practices, test new approaches, and translate evidence into improvements in how NSF supports scientific discovery to achieve broad impact. Learn more: brnw.ch/21x6HUf
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when i accidentally close my 55 tabs it's like the burning of the library of alexandria, but worse and much more dire
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.@NSF is hiring the inaugural Head of its Office of Metascience to apply the scientific method to how we fund, organize, and evaluate research. Continuous improvement will accelerate discovery. If you care about the science of science, apply:
nsf.gov/careers/openings/od/…
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Slowly, then all at once. A full Lean formalization of the classification of finite simple groups! The original proof was 15,000 pages of painstaking work across 500 papers by 100 mathematicians. Now settled beyond a doubt. axiommath.ai/research/the-en…
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The Exponential Time Hypothesis is false.
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Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory). AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
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I mean, just an all-time TV segment. Making Chuck do Who He Play For multiple times in a row with the same players is a brilliant idea and I was legit crying laughing by the end, my god.
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Jaden McDaniels hits the cig celly during LaMelo’s three 😂🚬
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We tried to warn the world and far too often, to be frank, we were yelled at for doing so. “Regulatory capture,” “marketing hype,” “doomer anxiety,” “fear-mongering about open source,” “why don’t you talk about the benefits?”
Replying to @hinapansari
yes. it was always going to be this way. we tried to warn the world.
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the current state of new media
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Things just keep getting more Pantheon.
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Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications. On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments. While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software. After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely. openai.com/index/securing-ou…
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This is one of the best cellys I’ve seen in the NBA lol The Timberwolves are really on bullshit this season 🚬
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