what3words has seen its revenue halve in the last year.
It has gone from £2.1m in 2024 to £1.1m in 2025.
At its height the company was valued in the hundreds of millions.
I have always believed this company to be a stain on the UK tech ecosystem, and essentially a ponzi scheme defrauding investors.
The senior leaders were paying themselves £300k and paying for extravagant work trips around the world.
All the while the company never managed to bring in any meaningful revenue.
Earlier this year it ran a secondary sale at a £50m valuation.
In the crowdfund deck it did not disclose financials results ANY WHERE.
It has literally burnt through hundreds of millions of dollars across over 10 years.
Running a secondary sale while revenue was dropping without telling ANY investors is SHOCKING.
we’re vc funded and i still spend half an hour trying to save $100 on a flight.
i grew up in central europe and spending money is still uncomfortable, even when it would save me time.
how did you get past this as a founder?
this interviewer told me to share my screen!
the moment he saw i was using linux and cli to open my ide, he was like “let’s just skip the coding part” 😹🤝
OpenAI: “We’ve solved math”
Anthropic: “Our AI is so powerful it’s going to kill you”
Google: “Introducing Gemini 3.9 Flash! It’s 30% faster and 15% worse than the last Gemini”
Holy, rumors are spreading everywhere that OpenAI is close to verifying a proof of the Hodge conjecture, while either OpenAI or Anthropic may be nearing a solution to Birch–Swinnerton-Dyer.
Both are Millennium Prize Problems that have resisted decades of mathematical research.
Verified AI-generated proofs of both would be a historic achievement for mathematics and a remarkable demonstration of AI’s ability to produce new scientific knowledge. And infact show that AI is capable of finding novel and creative solutions.
We're publishing our most detailed threat intelligence report to date.
It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.
We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.
These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.
We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.
Read the report:
The fascinating thing about saying “making a computer wait 1 second is hard”:
Some who took one intro to python class will say “it’s fucking trivial you retard, just do sleep(1)”
And some who have taught CS for five decades will say “it’s not hard. It’s impossible.”
openai made their own chips but not their own internal messaging app, they use slack
even though building a slack clone would basically be free for them?
so actually software engineers are safe because there's harder problems than building software and no one wants to maintain it?