Posts

Social Media Consumption

Post WW2 technology started to roll out to make available (affordable to masses) food that is tasty for humans, high in fat, sugar, and salt. People eat too much and there are negative effects. Now in the 21st century the technology has made available cognitive stimulation, e.g. videos on social media, that are psychologically ticking boxes that make them compelling viewing. People consume too much and there are negative effects. Companies' goals in both cases are to maximise consumption, not to maximise benefit for the consumer. Technology is good at optimising a given objective. It took longer to develop social media because it is more complex than the physical infrastructure that does farming, and discovering the taste preferences of humans. Cognitive stimulation "taste" is a lot more individualised and has more dimensions, but the algorithms have now solved it. Social media wastes people's time. They need to achieve their goals in the real world instead. Can we ha

Why is grant writing no fun (compared to paper writing)?

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Not a document that has any long-term value to society Success rates are low so it is rational to expect your grant will be rejected. It’s hard to motivate yourself to write material that’s likely to go nowhere. Papers can get resubmitted and eventually accepted. Grants typically can’t. It is quite motivating to be writing a paper with knowledge that it will be out there for a community to read and get value from. No resubmission EPSRC has a no resubmission policy. EU allows resubmission, but in practice a consortium will break up and not have stamina for many resubmissions. Also the field and the funder’s requirements change, so sometimes resubmissions require substantial new work (and scrapping old work). Writing a paper is more motivating because your effort will end up going somewhere, even if not this time. Constant rewriting You get one shot and anyone can shoot you down for a tiny thing. Therefore you really have to get opinions from mock reviewers to try to pre-empt the problem

How funding should be distributed

(I’m talking about UK or EU government funding.) The problem Thousands of researchers all across Europe are spending huge amounts of time writing detailed project proposals for projects that will never get funded. Success rates vary by the scheme, but around 10% get funded. The proposals are long and detailed and take a lot of time to write. UK national funding has the same problem, although rates are a bit higher and documents shorter. But they still waste a huge amount of time (of researchers who are highly trained, representing a big investment from society). Governments should avoid wasting researchers’ time writing detailed proposals for projects that will never be funded. In the UK case EPSRC explicitly say they want to slow people down by making them make a new proposal rather than resubmit (think of the case where you had one nasty reviewer, or a reviewer felt you had one missing component in your proposal - you can’t just add that and resubmit). It is not the case that proposa

AI is the Bomb

People often liken the effort to develop (strong) artificial intelligence to the effort to develop artificial flight. I think the effort to develop the nuclear bomb might be more close, because - It needs a huge effort to develop AI, something like the Manhattan project, whereas artificial flight was done by a couple of guys from a bike shop. - AI will have a more profound effect on the world than flight. - it feels like a creation of something, playing god. Nuclear: humans create a mini-star on earth, like humans creating/controlling fire. AI: humans create something alive. - AI/nuclear have more of a dangerous/dark/scary side than flight. - Because of fears, with nuclear energy there's a choice to use it or not use it. Strong AI might be like that. For flight there is not much reason not to use it. - Nuclear energy is the fundamental energy source in the non-living universe, the ultimate energy. Intelligence is the ultimate product of the living universe. - The nuclear bomb devel

The big picture on AI

Start of AI: Dartmouth Conf. 1956 “We are at the beginning of the end of the beginning in A.I.” Faustino Gomez, NY Times, 2016 I like that quote. We are coming to the end of Phase 1, the beginning phase of A.I., after 60 years. Beating Go is part of this. Also IBM Watson Jeopardy. AI is beating humans on obscure or fringe activities; things that humans are not really that good at. Phase 2, the middle phase, will be about everyday activities. Driving, stacking shelves in supermarkets, picking products (these tasks are at the easiest end). End to end order to delivery of goods without a human. Telephone services, dialogue systems. Pretty much all services. Mass unemployment. Eventually reaching human level in vision and language tasks. Robots able to do >95% of current human jobs; that will mark the end of phase 2.  Phase 3, the final phase, will be about superhuman intelligence. People might say everyday tasks were already researched in the last 60 years(e.g. driving), but I see a bi