Having worked in hedge funds for the last decade, this seems to miss the mark. Firstly we often reward skillstacking ie a technical person later becoming a trader. The more one person knows the better. These people are rare though hence the reason there is still many seperate job functions, so a person can specialize. But an AI agent? They all have the same brain, so why nerf them by specialising.
Secondly, browsing reddit for sentiment and doing technical analysis is not even a feature in the trading world. At the most basic level, these are lagging indicators. Something on options IV and premiums would have been closer to the mark.
Hedge funds are akin to the maintenance crew for markets, we keep them efficient and liquid. The process is quite scientific, you come up with a theory and validate with real data. Or you go from data to theory.
This part is lost on many. The value of data is in the theories it confirms or more importantly disconfirms, and defining the trading edge is not easy after accounting for costs. I am wary of black-boxes that produce an edge - not only because I dont know how it works, but also because regimes shift unpredictably, and what works today may stop working tomorrow. That being said, AI can be useful to help automate many routine processes just like any other software.
Actually there is a really good reason, it has to do generally with making sure that all the aspects that you want evaluated are actually evaluated.
Now it may be possible with models like Astra that you no longer need to do this, but in earlier models it was beneficial.
So I might want a macro economic read which leads to a market thesis. Then I would hunt for exposure, then evaluate the candidates across different aspects. Breaking the process up at least made sure no steps were missed and the different aspects considered.
As local contexts/skills get better at depicting what's to be expected and what an agent can work with and work to get better at, having more and more little specialized agents working as a swarm get you, with a field-skilled human as a supervisor, really good results even in highly niche and technical fields
Given what a know about the 2008 financial crisis, wouldn't an AI analysis in the years before that crisis of the real state funds helped to understand the risk of them better and avoid the big exposure.
The problem wasn't the analysis, given it was found out before it happened. The problem was politics, and as usual pushing the system to its limits and beyond.
The obvious and dumb theory for trading on LLM recommendations is that lots of people are doing it so the price of stocks LLM recommend should go up. (ie: following the herd).
Bret Victor is a real visionary in the field, and everyone should check out his website worrydream.com, for his interesting presentations on interactive programming.
Saying that, I can't see how this dynamicland is going to work practically. The requirement first for a shared physical space, in the age of remote working. Secondly the need for programs to fit on a table, which his simple examples even seem to barely do. In a meeting you'd have to be constantly arranging things on the table, putting things away as you move on to the next example, remembering how to arrange the next deck etc.. personally if I do a presentation, I want all the slides on the cloud in case of any issues, not to be carrying round a set of cards in a binder..
I would think the more likely next step in combatting complexity, would be personalised AIs. These would understand the context of the presentation being given, and therefore can provide us remote audience members with explanations and visualisations on demand, that would suit our level of understanding of the problem.
Property law is abysmal in the UK, the fact that the squatters stuck up a sign on the wall naming their rights to occupy, just shows what a joke it is. I dont agree with property being left empty, but there is due process to these things, and the average worker has to suffer through all of it to even get one home.
If no one is buying at the current price then thats the market saying the fair price is lower, and perhaps it should just go to auction. I'm sure it's pocket change to Ramsey, but it set's an ugly precedent letting this go forth.
If you sit on a train without a ticket it's a jailable offence. How is breaking into someone's property and living there not completely illegal? It's completely inconsistent and squatting is a real problem here.
I have to say, watching this car crash in real time has ironically made me browse reddit more, just to watch the drama unfold. It's the same with twitter, these community sites have become so big, that the actions they take themselves are newsworthy.
The way this is unfolding, I can imagine this being a case study in a future revision of 'how to
win friends and influence people', on completely what not to do. If that book is worth it's salt, then reddit's management complete unwillingness to work with its community, and constant lies, leading to virtual riots on its sites, should result in it's total collapse.
It looks like they took a profiler to the training process of today's largest AI models.
Firstly it'll be a universal low level software layer, that can run on top of any cloud hardware, which can then be developed against to enable maximal cloud reach when training models.
This sort of virtualisation might be considered slower than direct access, but they've also created a DSL on top of python, which looks to enable the compiler to make smarter decisions about how to allocate memory and compute during training. So both together presumably producing a speedup worthy of the hype.
It's poor thinking on them to only provide a talking interface. I don't think I've encountered that personally, there is always a way to use the keypad - which I will always use anyway, even though they understand my voice, it's just x10 faster. And if you've made the call before you can type on the keypad before the robot on the other side is done talking.
There's plenty of services in Portugal that only have the damned robots. They're also adding the most infuriating chatbots that they pretty much force you to go through before getting to a human. Can't wait for the day this is all banned.
Most of the time the answer long term is "no" because as long as it's not a monopoly people will go to their competitors that aren't utter shite at what they do
But there are cases where the interacting with company which engages in said practices is due to a transitive relationship.
Example: My preferred clothing vendor uses a certain of delivery company.
If I, personally, am sending a package then switching the delivery company is usually trivial. Switching clothing vendor because UPS has crappy international package management and you need to say the package id instead of typing it would hurt me more than it would hurt them.
And the other shipping companies aren’t much better anyway. And afaik there isn’t much incentive for trading off something in exchange for pissing parcels receivers less, because see above.
On the other hand, there are great shipping companies, end user experiance-wise. One I can think of is a polish automated pickup station company. Somehow the experience (including customer support in case of a stuck door, etc.) only gets better with time so far. But they were the first and afaik remain the only company in the automated pickup station space that counts in Poland.
I don't have data but more and more seem to be turning voice only. Some US-based airlines come to mind, and one of the banks I deal with. It's fun when they ask for my "16 to 20 digit client number"
Mine just started introducing an ad before they get to the main menu.
Also, they repeat things several times during the interaction. i.e. the phone number I just called.
“Do you want to repeat that or go to the main menu?”
“Main menu.”
“You want to go to the main menu, is that right?”
It’s not my pronunciation, it does that every time.
Bot time is considered cheap, and therefore so is the user’s time. The time for the transaction has doubled over the last five years, as they add more repeats, information, and now, ads.
Not at all. This means we are no long tying production quality of a game to how much money the developers have access to. It enables real creativity. Right now do you not think the AAA market is satured with yet another first person shooter etc? Creativity has lost out to capitalism, this will bring it back.
It does, once you have the character sheet, you put these together in blender and use them as reference for the 3d model, so everything comes out in proportion and its just grind really to place the vertices.
The rigging + animation is done by mixamo's AI so just touch up after.
He had to do a UV unwrap and then align the textures to this, this is time consuming just because it requires thinking about where to split the 3d model, to place the seams, then to fit it all in a texture, where you have to think about how much space to give each texture (more space = more quality). And then map the texture into this space too. This is a known pain in the 3d modelling for decades and no doubt AI will solve this in the next decade.
There is a lot of content in games. The AAA games can have single artists work on one character for the whole game. The author even says it saved him 5 days, and look how small the scene is he's talking about! AI has the ability to scale up the production quality of games, whilst taking half the time or less.
This kind of tech enables an indie to build a prototype with AI generated content, where the art direction is clear, then get funded in order to hire artists for the touch up. Kickstarters are often very visual, so this kind of stuff is required up front.
Secondly, browsing reddit for sentiment and doing technical analysis is not even a feature in the trading world. At the most basic level, these are lagging indicators. Something on options IV and premiums would have been closer to the mark.
Hedge funds are akin to the maintenance crew for markets, we keep them efficient and liquid. The process is quite scientific, you come up with a theory and validate with real data. Or you go from data to theory.
reply