Developer communities, public debate, jobs and how people use AI. 71 articles in the last 30 days.
I think it is plausible a strong form of recursive self-improvement [1] is imminent or already underway, and that we may be on track for superintelligence by Christmas of this year if racing continues. This is substantially faster than any forecast, including
Here , we’ve given an operationalization of opaque serial depth, a metric designed to be a good (albeit imperfect) proxy for the amount of opaque serial cognition that models can perform. While maintaining low opaque serial depth is helpful for preserving over
Training systems that allow robots to negotiate the real world are getting more sophisticated.
The AI Risk grantmakers do not act like they believe in imminent existential risk from AI The idea of "revealed preferences" is one of the most useful in economics; it allows us to cut through a great deal of metaphysical angst about what someone "really" beli
Epistemic statues: This is mostly just me voicing my thoughts. If I’m wrong, I’d love to hear it. I don’t want this to be the case. And part of the goal is for people to avoid a “2023 failure” to happen again. A lot of people are celebrating AI risk becoming a
Microsoft, OpenAI emails reveal fear of AI “doom loop” killing news orgs.
At present, AI is good at solving specific mathematical problems, but not at developing new mathematical theories and concepts. Yet everyone says we cannot rule out the possibility that this will change in the future. What is the reason that AI cannot do it no
The comments were made at a summit in Ayrshire with participants from AI giants including Nvidia, OpenAI and Anthropic.
tl;dr: No I intended to read Richard Ngo's Agency Curriculum today. Unfortunately I didn't get more than halfway through the first reading of the first week of the curriculum. The reading is the blogpost 'The Copernican Revolution from the Inside ' by Jacob La
Minister for public service says the devices pose ‘legitimate privacy and security concerns’ in commonwealth-run workplaces Follow our Australia news live blog for latest updates Get our new political email , free app or daily news podcast The Albanese governm
Existential fears about AI have once again reared their head - here's what you need to know.
Universities need to protect their position in education so that students have an independent pathway to employment AI companies like OpenAI are insinuating themselves into the pathway from education to work. Soon they may claim it entirely, a disastrous resul
tl;dr: A good analogy for AI going well is an orderly evacuation rather than a stampede. Imagine a crowd of people leaving a building. If they all walk calmly, they’ll be fine. But if people start pushing, and panicking, a surge towards the exit could lead to
Evan Spiegel says it would be "an important step forward for the industry" in an interview with the BBC.
Nvidia, OpenAI and Anthropic are all now selling their own limited edition fashion lines.
MSPs vote for strict environmental impact assessments and will delay decisions until national strategy is developed Holyrood has voted to pause planning applications for all new AI datacentres for up to a year until the Scottish government has developed a nati
The first console I ever bought, it was hyped as a threat to the PlayStation, then mocked as a flop. But now, as it marks its 25th anniversary, it’s looked back on with misty-eyed reverence This week marks the 25th anniversary of the Nintendo GameCube, the fir
Sam Altman and other tech CEOs say there are incentives to limit advancements in AI, as fears grow over the threats it poses to humanity.
Exactly how useful is solving advanced open math conjectures for AI companies? Is it mostly advertising, or would they still do it even if they weren't going to publish their results?
In today’s newsletter: It is hard to tell fact from fiction when it comes to AI. What is really going on – and what should the government do about it? Good morning. As a general rule, it pays to be suspicious of any gigantic company that claims it’s developing
I'm working on a simulation of a motor that is attached to a wing (Later, this will also have a real-life counterpart once I'll assemble all the components in our lab), and I can control the forces/torques that the motor applies. I want to use RL and find an o
Given vector A and vector B, which would be the better approach for getting top k embedding vectors such that they are similar to embedding vector A and dissimilar to vector B. Approach 1: calculate f(V) = cosine_similarity(A,V) - cosine_similarity(B,V) for ea
What should children learn in a world transformed by artificial intelligence?
Here's a sort of a conceptual question. I was implementing a SOM algorithm to better understand its variations and parameters. I got curious about one bit: the BMU (best matching unit == the neuron that is more similar to the vector being presented) is chosen
