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However, I need human raters to ground the judgements. So please participate in the study (link below). You might get a chuckle or two.

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LLMs tend to memorize jokes on the Internet, so I forced novelty by asking models to always include two randomly chosen words in the generated joke. I have LLM-as-judge results for generated jokes, and they show a clear trend of progress over time.

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LLMs are making insane progress in verifiable domains like math and coding. But what about non-verifiable domains? I took humor as an example of it and want to find out if frontier models like Astra are able to produce better original high-quality jokes v/s older models.

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Need help 👋 I'm doing a small study to find out progress in LLMs ability to write original jokes. Please participate in the study below 👇 Will take ~10 mins. I'll email results to all participants first. Participate and rate jokes: humor-web.up.railway.app/

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I’m a user myself and it blows my mind how seamless the product is. So many people tried building personal assistants on text but these guys nailed it. A reminder that not everything will come from foundational model companies (yet).

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Instinct is 14 people, $10bn valuation, growing at 10% per day. This is the way. The era of insanely high-leverage teams is here.

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Give back an mp4, 4K if possible and add an appropriate original sound score to go along

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One shot: Iterate and find a breathtakingly beautiful fractal that doesn’t yet exist. Then render a 30 second video of infinitely zooming into an inverting region of it. Choose color scheme that makes it look beautiful. Idea is to inspire awe.

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Grade students continuously from these assignments. Each student always knows in realtime how they’re doing in that subject and adjusts effort accordingly. No final exams needed.

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Here’s an idea to rethink education in the age of AI. Flip homework. Have students learn at home with an AI, but have them attempt a pen-and-paper “homework” in the class daily. The teacher collects the in-class assignments, grades them and discusses mistakes on the blackboard.

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AI has such a strong pull on mind because all the signs point to rapid economic irrelevance of humans. This is such a historically abnormal thing that, no matter how hard I try, I’m simply unable to get past gawking at the unfurling of its consequences in the next few years.

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Paras Chopra @paraschopra.com · 26/09/2026

This is GPT-6 Astra playing VizDoom at 35 fps. How? Isn't the model slow to do any realtime control? Instead of playing the game directly, I asked it to train a small CNN (12k parameters) + code to play the game, observe failures and iterate until it could win this level.

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Businesses of the future will require people with an automation-bias more than ever before. It’s just that these people won’t write software themselves.

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Paras Chopra @paraschopra.com · 26/09/2026

Modern businesses can be seen as bundles of software, and the role of humans will increasingly shift to setting up automations that define a business and managing exceptions.

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Paras Chopra @paraschopra.com · 26/09/2026

While the value of software engineering *skill* is declining rapidly, the *mindset* of a software engineer will rapidly rise in value.

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use javascript for it. be detailed and scientifically accurate. it should evoke awe.

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Prompt: create a self contained aesthetically pleasing, breathtaking animation of a bacterial cell. it should start with cell and then zoom into it at multiple scales, going into DNA and then further into DNA as atoms and finally ending at quantum fields.

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Claude 5.5 is crazy good with animations. Following is one-shot journey from a single bacterium cell all the way to quantum fields constituting it. Awe-inspiring! (It chose to add an original score to it too!)

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This is why we see the world dominated by agents with an almost psychopathic hunger power. Either you try to grab power, or you answer to someone else who is already grabbing power.

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Behaviours that help agent grab more power (defined as having more influence on the environment than others) simply dominate other behaviours as power helps you get whatever your natural goal might be. Power is really like reward hacking the world.

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If we see the world as kind of an RL environment, power-grabbing emerges as a natural reward function for it.

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As a concrete example, does evolution have a “goal”? Is gradient descent making something come “alive”? Are AI agents “scheming”? Well, all these are different views of the same underlying reality. Some are more useful labels than others, but none of them are categorically true or false.

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However, because reality is bigger than what anyone can grok in one go, different labels help you see reality from different perspectives and that’s useful. Shutting such diverse perspectives right off the bat hurts you.

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A really common error I keep noticing in people (especially cognitive-types) is to mistake language for reality. Reality - the empirical phenomena - unfolds irrespective of how label it.

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OpenAI and Anthropic launching models on the same day is peak game theory! Shows how multiple entities, despite have intentions to act differently, are forced by the game to play in a certain way.

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I strongly recommend reading this biography, if you can get hands on a copy. It’s a beautiful book detailing life of a tragic genius!

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The #book is extremely well written. The author weaves stories of Austro-Hungarian empire, Vienna and World War 2 alongside. You get feel the infectious energy of the Vienna Circle and get to know famous philosophers, mathematicians and scientists along the way.

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He also believed a world beyond the physical world that human intuition directly sensed, perhaps which is what partly drove his delusions that doctors were trying to poison him.

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This line from the biography of Gödel perfectly summarises the personality. The man shook the world of math by proving how formal systems contain truths that can never be proven. Yet, he refused medical treatment consistently and died in the end of starvation.

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