Arun Niranjan

@arun-niranjan.bsky.social

Software engineer and former neuroscientist

From a friend who joined a fast-growth, later-stage startup: "I was wondering why no one is doing PRDs here. Then I realized that the Head of Product and most PMs are 25-year-olds who don't have the attention span to *read* even a 1-page doc. You lose them after 3 bullet points."

I have a possibly controversial take on this - as groups we're much worse at classifying dicks than we think we are. If it's purely group verdict / gossip on who is a dick, I guarantee you ethnic minorities and women are getting shorter shrift than others.

Sam Freedman@samfr.bsky.social · 3w ago

I always had this rule when hiring. However smart or impressive someone seems, if they seem like a bit of a dick it's not worth hiring them. I had deliberate tests, like how they treated admin staff.

And yet: - wages have stayed flat for most people since 2008 - housing costs have exploded in that time I would love someone more qualified than me to untangle how much of this thread applies to income alone rather than combined income and wealth taxation

Dan Neidle@danneidle.bsky.social · 2mo ago

UK tax has gone up significantly over the last 25 years But the tax paid by the average UK worker has not This apparent miracle was achieved by taxing “other people”: higher earners, capital, property, banks, etc The strategy has run out of road A 🧵 on what happens next.

My theory is that Reform run councils won't be disasters that kill their national chances simply because every council is already operating at its absolute minimum essential statutory level and they can't change anything, and council staff will just get on with the same as before.

The critical thing that's missing is that doctors have an explicit causal model for *why* they have made a diagnosis. An LLM just predicts tokens. Any "explanation" you get from it simply isn't real. Pattern recognition isn't enough when it comes to human health - it's only the first step.

Dare Obasanjo@carnage4life.bsky.social · 3mo ago

A Harvard study comparing OpenAI’s reasoning model to human doctors found that the AI identified the exact or very close diagnosis in 67% of cases, beating the human doctors, who were right only 50%-55% of the time. This is essentially a pattern recognition problem which is where LLMs excel.

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Terence Eden@edent.tel · 3mo ago

New blog post: NHS Goes To War Against Open Source https://shkspr.mobi/blog/2026/05/nhs-goes-to-war-against-open-source/ The NHS is preparing to close nearly all of its Open Source repositories. Throughout my time working for the UK Government - in GDS, NHSX, i.AI, and others - I championed …