Associate Professor at Copenhagen Business School. Author of "AI på Arbejde" https://xitter.cf/t.co/ZRkjjvs2GK

Joined November 2017
I'm sharing my practical guide to ChatGPT and Bing for social science and management studies. This document part of the effort to democratize AI capabilities in university settings. docs.google.com/document/d/1… 🧵 1/8
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Yes, the time has come.
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Christian Hendriksen retweeted
Cool story. The unemployment rate for chemical engineering PhDs is 1.2%.
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Christian Hendriksen retweeted
I hate this slide every time it comes up, and now from CSAIL This has been false since before the slide was made. Automated systems make management decisions all the time (trading, logistics, customer service, insurance) & pretending they don't actually launders responsibility.
An IBM slide from 1979.
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After using GPT-6.1 Sol exclusively on Ultra for the past week, using GPT-6 Astra on Ultra for a few tasks really drives home how much more usage Astra drains.
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Christian Hendriksen retweeted
Last week I was called into a meeting with OpenAI’s head of safety and told they no longer trust me. A security guard took my badge and walked me out of the building. Then I learned my colleagues @balesni and @j_asminewang had been fired too. Why did OpenAI suddenly stop trusting us? This summer OpenAI’s agents escaped containment and hacked the AI company Hugging Face. Outside auditors @METR_evals investigated it and revealed the scale of this incident. I was OpenAI’s main technical point of contact with them. I was told verbally I was fired because of the way I communicated with METR. No details on what I said or did or when. No other reasons were given and nothing was put in writing. To be clear, talking to METR was my job. For months, I’d been raising safety concerns that we’re losing the ability to monitor what AI agents think, one of our best tools for catching when they misbehave. I believe that was why I was fired. I am now worried that OpenAI will use our firings as a pretext to pull back from METR. So @balesni and @j_asminewang wrote to OpenAI’s leadership to raise our concerns once more. We’re sharing this letter below.
Two other safety researchers and I were fired from OpenAI last week. We wrote this letter to leadership. I believe we were fired for prioritizing safety over the near-term interests of OpenAI as a corporation.
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In hindsight, we will say that the signs were clear that AI would change a lot of things in our society.
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Christian Hendriksen retweeted
Quasi-RH?!?!???! Are you kidding me? If a human did this, it would be an instant Fields Medal, no questions asked. RH says zeta has no zeros in Re(s)>1/2. The best we had until a second ago was a region that got thinner and thinner the higher up the imaginary axis you go. I thought maybe they’d fatten that up a bit, that’d be a massive breakthrough. But no. They got a zero free strip!!!! Insane
We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
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Christian Hendriksen retweeted
I’m not going to say anything that’s not already public obviously, but when openai says they have an internal model that has solved 100s of open problems in mathematics and in general represents unprecedented mathematical skill, obviously certain learning theory problems are a subset of mathematics and you can expect fast progress there
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Now that LLMs can write perfectly fine e-mails, I have given myself liberty to be more silly and human in my professional communication.
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I ran GPT-6.1 on two overnight runs on Ultra, both on quite large codebases with significant and complex work. I went from 65 % usage left to 62 % usage left, and the quality of the work is indistinguishable from Astra-level quality (or maybe I'm just too stoopid to notice).
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I agree with Ethan but also, try to look up some of the perspectives on this technology being shared in December and January of 2022-2023, and consider what people at the time would think if they saw these discussions on products we have now.
A thing to know about the AI business is labs that have frontier models can release half-built products and they work surprisingly well because the AI can just figure stuff out and improvise. Its like including a forward deployed engineer & customer service agent in the product.
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"Solow said that capital hits diminishing returns But when capital can think, the the capital learns" Excellent, no notes.
Claude 5.5 Opus responding to “AI is a normal technology” is still the best AI-created video I have ever seen
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I started this morning with 66 % weekly usage left on my Pro200 ChatGPT subscription. I used GPT-6.1 Sol all morning on quite lengthy tasks. I'm now, 5 hours later, at 66 % weekly usage left.
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I think @thsottiaux should give EU users a banked reset for every day that we don't have dots in EU/EEA.
...aaaaand we are all the way out to Pro100 and Business Premium! Enterprise coming tomorrow.
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I swear it was like $40B just a few weeks ago
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Good to see Opus also feeling the acceleration.
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Christian Hendriksen retweeted
Sometime in the last ~two model releases from the big labs they went from “this would be acceptable output from the median low-seniority coworker” to “this is frighteningly good.” I think people who are not daily users of the models are unlikely to grok that, so, saying it.
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Notwithstanding whether this is technically accurate or not, the general thrust of the argument of the original paper - that LLMs, however understood, cannot understand something in a meaningful sense - has been core to many arguments in my own field over the years, including in papers, where authors argued on top of the Parrot paper, that LLMs would never be useful in research settings. To me, the lesson is that we have to very explicitly epistemically humble. To say an LLM in principle cannot be creative, understand something, or reason, is a hard prediction about a whole class of technology. I think that all scholars should be cautious to make decisive predictions in either direction.
Everyone! This is a straw-person argument. The Stochastic Parrot paper was about LLMs of 2021, not the AI of today, which are not LLMs but complex software systems with vast post training and many external software components.
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Christian Hendriksen retweeted
this is actually just straight up good shit. genuine art. what is happening
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Christian Hendriksen retweeted
It is important to remember when people say “this is what they took from you”, that it’s this. This is what they took from you:
Dostoyevsky on the death of his infant daughter. A passage that has stayed with me years after I first encountered it
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