mrh0057

I’m not a lawyer but my understanding these are torts so all you have to prove is Microsoft has liability. I think this would be easy to prove due to the way neural networks work since it’s just a way of performing a search.

Since it’s a tort I don’t think you have to prove they should have know it would return copyrighted code, the fact that it does is enough to have liability.

It’s suppose to be the value you added. The investors get payment for the risk they take by investing in or loaning money to the company. If a company has monopoly power and/or gets bailed out by the government consistently there is no risk to investors. What ends up happening is rent seeking a behavior by theses companies and they will also take unnecessary risks since they are incentivized to.

The tests are close to worthless. It is easy to check if someone truly did what they claim on their resume by asking questions about projects they worked on. Caught way more people misrepresenting on their capabilities by doing that but you have to have people doing the interview who has both breadth and depth in multiple areas.

I rarely see interviewer(s) asking questions to try and discover the person level of knowledge but instead ask questions showing theirs.

The whole long blows up when enough people try to withdraw tether for dollars and they don’t have enough to cover. As long as that doesn’t happen it will be alive. Works just like a Ponzi Scheme or a run on a bank.

Most of us have worked with the person who thinks they know everything. Part of being a good engineer/software developer/scientist is knowing it’s impossible to know everything and being open to new ideas.

If that’s the language it can be any asset. Doesn’t mean it high quality AAA rated bonds or government notes, bills, etc.

I guess whoever wrote this didn’t know about the 80s and the 90s.

Your statement immediately has a problem. How do you define success? Then you have a second problem when you state a person taking one test is also good on a different test.

Going much over 100 has little correlation with wealth which is what most studies use. Then you run into correlation doesn’t equal causation problem too.

HOAs in texas can’t ban solar and it’s been that way for years.

People do care but there is a lack of choice. Then you have another issue with enterprise software is the people who are using the software are generally not the ones buying it. It comes down to does it check the right boxes.

Business do care it is just much more difficult than people realize to make software simple and easy to use. Then you have the fact most software projects fail and way over budget so they think there is no other way. Therefore they end up settling since at least they got something that sort of works which is better than nothing.

First off I said it was a context aware search which it is. It uses past training data to predict what you would type next based on the context ie the code around it. It’s no more intelligent than alpha go. Intelligent AI is considered to be a general ai which no one is even close to building yet.

Since neural networks are pattern matching based on the training input it is a derivative work of the training set. It says it right in first thing that comes up in auto regressive language models use the training input plus context to predict what the next word would be.

Now here where the fun begins if they try this in court. If you claim it’s generating new work then who owns the copyright? You may not realize how big of a deal this is but there was a court case you can lookup where a monkey took a selfy and the person who camera the monkey used tried to claim copyright and lost.

There is nothing intelligent about this. What they did is a context aware search and trying to claim that not what this is. If it was just used as a search engine and people weren’t using the results or following the license of the original source, then it would fine. There has been so much of a hype of machine learning people likely have a false impression of what it is.

Why is everyone ignoring the fact what neural networks do? It is being used as a search context aware pattern matching and use that to predict what you will write next. Of course it's going to return copyrighted works based on what you right.

It's a pattern matching algorithm what exactly did they think it was going to do?

It’s more of I created a search engine that is context aware. Then claiming that it generates novel code because it can take snippets from multiple sources. Then have a bunch of people not understand what it is then are trying to claim it does x which would make this a general ai.

I guess I have to explain. The reason it’s a definition of a bubble is due to compounding. If the economy is growing at 1 to 3% while equities are going up 7 to 10% a year they diverge slowly at first but the divergence is exponential. What ends up happening it takes far more debt to sustain this bubble. Interest have to keep doing down so the payments stay relatively the same but at some point rates can’t go lower or a shock causing the ability to pay goes away. Then the bubble pops causing a liquidity problem(2008, March 2020) causing a massive sale off of the most liquid assets. So far the governments of the world have been transferring the liabilities of the most toxic liabilities from banks, pension funds, etc to the Central banks. It is an asset swap and doesn’t inflate the money supply directly but what it does do is tell banks lend all you want if you blow yourself up we will bail you out. This further inflates the debt bubble since banks now believe the fed has backstopped their loans there by limiting downside risks. This money being created has to go some where so it goes into asset purchases. Then you have margin and loans based on the assets further inflating then bubble. This creates a feedback loop since the increase in the asset prices increases the amount of money available to borrow which is often used to buy other assets further increasing the price.

A fancy way of saying an equities bubble.

The model your are using is to simple. Since there is a shortage of new vehicles it pushes up the price of used ones. Then any supply of new vehicles that hasn’t been sold yet goes up. People will keep cars longer since the price of new vehicles has gone up. The drives higher repair rate of vehicles and parts prices will start to rise. Since there is a chip shortages you may not even been able to get certain parts new so it drives up the price of used parts containing the chips.

As people put off buying new cars when cars start becoming more widely available the prices stay higher until the shortage worked out and then prices of used and new car drops. Manufacturers are likely to overshoot the number of new vehicles since the models they are using assume the increased demand. This means once it is worked out a significant drop in prices and you can get vehicles really cheap. See 2008 cash for clunkers where it caused a spike in used cars price temporarily. It also had the effect that leases where cheaper since manufacturers believe they would be able to sale them used at a higher price which was only temporary causing them to lose money.

You do get increased prices for new stock that don’t have existing contracts. If you screw up your estimate of what you need and your suppliers don’t have the capacity to make your parts, now you have a shortage. Now you have to shutdown because you can’t get parts but a manufacturer who did a better job of estimating will be able to charge a higher price. In this case it would be Toyota which didn’t cut their chip orders when the crisis hit. Of course they are also likely to have some shortage of certain vehicles since there will be a shift in demand for their vechiles. So if you own work trucks the value of them will skyrocket right now since most of them in the US are made by the big 3 which don’t have the chips to manufacture them.

We can and do make chip fabs in the US. Intel choose a different process for its 10nm than TSMC 7nm. It hasn’t worked and instead of switching to a similar process the other foundries use they doubled down repeatedly. It’s the perfect example of sunk cost fallacy.

I’m pretty sure if you gave the devs creating slow ui on the web would create slow native apps too. I’ve created web apps that are on average faster than the desktop apps they replaced. I’m willing to bet nice simple fast programs are way cheaper to write.

Current situation is people creating abstraction at the wrong level and not understanding the performance cost of things like reflection and ORMs.

It's good enough for a time until a competitor comes in with better software and you go bankrupt due to unable to compete on price and usability.

Most of the brokers where not allowing margin for buying GME since last week and Robinhood is one of them.

The issue isn’t citadel it’s all these hidden connections in the secondary market where they get the money to leverage up. I bet we will find out in the end the reason they are panicking is the repo market where they likely got the money to leverage.

Why do they care this time. No one cared in 2000 and the 2008 bubble. No one cared that new investors are bidding up worthless SPAC and new public companies. Why do they all a suddenly care that retail is going to lose a ton of money when retail always loses a ton of money. Retail always joins the bubble towards the end of the cycle.

It is unnatural and insane. You shouldn’t be able to short a stock that much to the point to can destabilize the whole financial system. The ripple effects can be really severe because the shorts are going to lose an unbelievable amount of money and will likely be bailed out somehow due to the ripple effects.

Institutional investors are pretty much anyone who manages money on behalf of someone else. I don’t know how the restrictions work but likely has something to do with what the institution’s purpose is.

This narrative needs to stop. This is institutional investor shorts vs intentional investors stockholders. Retail is just along for the ride but the institutional shorts did something crazy so other large funds came in like Michael Burry’s and bought large positions. This happens every once in awhile where other institutional investors see an opportunity to take out competitors who is over leverage.

So just sit back and watch for the margin calls to go out and GameStop will skyrocket to something ridiculous while the shorts try to unwind their position. Still don’t get how this mess is going to get cleaned up since it’s impossible for the shorts to cover.

The current environment started around the 1970s. We went from industrial capitalism to financial capitalism. We are at the end of the debt cycle and most of the worlds governments keep trying to re-inflate it instead of unwinding the mess.

Go lookup currency deflation and what happens at the end. The transaction rate is to low and the energy use is to high to be useful. We are near the end stage when people and institutions start hoarding it.

The current problem in fiat money is what the new money is funding. This is a society/government policy choice and isn't an inherent flaw in fiat money. In the west the money is primary used to boost asset prices instead of used for production.

It’s pretty odd right now that most languages are trying to add more ml features to classic oo and imperative languages. Design frameworks that are much easier to use in functional languages. Then try to make it work with imperative language or classic oo language and wonder why it seems to get add unnecessarily complexity as the app gets bigger.

Seems like we are at a start of a transition period where we will move to more functional languages over the next 20 to 30 years. I wish a large company would design and modern ml and not try to make it backwards compatible with an existing runtime.

Can't remember the name of the system that did 4k but found a paper about bank of America processing 1k a second.