Yeah, I've worked in the industry for a long time. I think good regulation would prevent per punter limits. I don't really see why doing this would make the industry unprofitable, the odds have a margin baked in, exactly the same as a 0 (and in the US the 00) in roulette. Worst case they would have to increase the margin, which maybe isn't so good for casual players but at least it's a level playing field.
I also find the common implementation of in-play delay poor. The way it generally works is a delay is applied before confirming the bet, anything which changes (including pricing) causes the bet to be rejected. The main reason for this is that the traders sometimes only have access to something like sky sports so their feed is quite far behind someone at the stadium. I feel like in reality it should be based on official timings.
The problem with this is liquidity, particularly well before an event. It's why the original exchange (or at least the first one I'm aware of) also now offer a normal sportsbook.
There used to be a really classic old website called Mr. Sharkey (you can see some of it on archive.org). He was into a number of different weird and wonderful hobbies. One of them was a VW Rabbit powered by something like a 24hp DC motor and lead acid batteries.
One of the most interesting projects he did was to build a trailer from the front clip of a similar VW Rabbit, engine and transmission etc. He then used this trailer in a pusher configuration to take the electric VW Rabbit on extended trips. The engine was controlled by a hand throttle in the car. Apparently the handling was surprisingly acceptable in this configuration.
For what it's worth you get fairly similar results if you assume an efficiency for a ICE engine (25-40% depending on a lot of things) and work backwards from the energy density of the fuel and the milage you achieve over a trip.
Academia isn't my thing but I also wonder if there isn't an aspect of putting a stake in the ground? So that if someone beats you to publishing you at least have some record of being on that track.
That is definitely a big motivator for publishing preprints. Journal submissions can take up to a year. Comference submissions take months. If the field is moving fast, claiming a finding early can become an important career move.
In older days, academics would just share notes on their work and word wouldn't usually spread widely before publication.
Preprints may be the better model. But public visibility means that non-experts now get to see the good and the bad research equally, but they won't have the domain knowledge and skill to distinguish one from the other with confidence.
I think robotics AI revolution will come just a few years after the knowledge work AI revolution. We already have very promising robotics systems in active development.
I'm not sure how you take that from the original article. My 4 year old would drive that course in an automatic car, if only he could reach the pedals. Heck, he's done harder things at Lego land.
I wouldn't let him loose on the road though.
I think, at the very least, the guardrails would have to deterministic, ideally with super human senses, for people to accept self driving cars on the road.
Almost certainly, there are 4 year olds who ride small motorbikes etc. I think the main problem is that they can't really be held accountable if they have an accident.
Nope, no "deterministic guardrails" for you. The domain is simply far too broad and unstructured to allow for that.
Unless you mean "a typical AI with all the computation constrained sufficiently to always unfold the same exact way, given the same input". In practice, that just kicks the can to "given the same input" street.
The noise in the system is going to come from the input plane. Which is, I remind you, facing the real world. It's full of noise.
Even looking for companies which supply services is now far better on AI chats than Google. For me being visible in AI training is going to be more important than search in the next year or two.
If I was a big AI company I'd certainly be tempted to make sure that anyone who excluded themselves from "AI training" also got themselves excluded from AI results.
I think the main problem in England is that there is just too much traffic for too little road. I don't think there is a simple infrastructure solution to that problem.
For example I was going to point out that roundabout completely fail when one direction becomes nose to tail congested but when I thought about local examples, I'd rather take that over a set of traffic lights where it becomes near impossible to get out from one direction if the traffic keeps backing up onto the junction.
> I think the main problem in England is that there is just too much traffic for too little road.
I think Jevons paradox basically guarantees this in both countries. The difference between the two countries (in my theory) is how much responsibility they're willing to place on the drivers. The UK requires much more driver effort for good reasons I suggest in another thread.
I also find the common implementation of in-play delay poor. The way it generally works is a delay is applied before confirming the bet, anything which changes (including pricing) causes the bet to be rejected. The main reason for this is that the traders sometimes only have access to something like sky sports so their feed is quite far behind someone at the stadium. I feel like in reality it should be based on official timings.
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