Category: AI

Connor Leahy has an interesting perspective on AI, and it’s very eye-opening.

From TheStandupPod; Will AI really be writing 90–100% of all code within a year? In this segment, the hosts react to bold claims from Anthropic’s CEO about the near-future dominance of AI-generated code. What starts as a discussion about productivity quickly turns into a deeper debate about what “writing code” even means. From glue code vs. real engineering, to entropy in codebases, legacy systems, and the economic incentives behind AI companies, the conversation breaks down why these predictions might be misleading—and what actually matters for developers in the AI era.

In today’s video we’ll be testing the very expensive $250 Gemini Ultra on some maths problems I’ve been working on during my PhD. We may as well be talking to aliens at this point…

Reminds me of the EV mandates that governments tried tp shove down our throats. Another *Ooops*, didn’t expect that.

Loneliness is an epidemic, no surprise with the cancer that is social media. This is a terrible idea.

From our friends at IBM Technology…

From 80,000 Hours: In early 2025, after OpenAI put out the first-ever reasoning models — o1 and o3 — short timelines to transformative artificial general intelligence swept the AI world. But then, in the second half of 2025, sentiment swung all the way back in the other direction, with people’s forecasts for when AI might really shake up the world blowing out even further than they had been before reasoning models came along.

What the hell happened? Was it just swings in vibes and mood? Confusion? A series of fundamentally unexpected and unpredictable research results?

Host Rob Wiblin has been trying to make sense of it for himself, and here’s the best explanation he’s come up with so far.

Holy SHIT…Jimmy Carr explains why he believes everyone’s thinking about AI is wrong.