Good So Far
Could the courts levy a massive enough fine on MicroSlop/MicroShit to cripple that criminal enterprise? That would be justice.
4176 publicly visible posts • joined 16 Nov 2013
WeWork is a better example for OpenAI than Blackberry. Blackberries were a profitable product before the iPhone. Sam the Scam's fraud is a money loser right now and probably will never turn a profit. Much like WeWork was basically a scam that imploded when its IPO hit. In fact, none of the AI frauds are profitable and probably will never turn a profit.
The point of a well designed exam is to test students' understanding of the material. True, the real world is more like an open book exam with as many 'books' as necessary. If you have a good grasp of something like thermodynamics you have a good idea of where and what to look for. The point of learning a field is to gain enough competence to know how to properly dig deeper when necessary.
There is one part of the gun that sees very high pressures when it's fired. This part most be able to withstand the pressures without bursting. The question then is whether the materials this part most be made out of are: 1 readily available; 2 suitable for 3-D printing; 3 need to be heat treated after manufacture; 4 need other treatments before use. Not an expect on these issues but I do have some background in materials to know using the wrong material can lead to deadly results for the user. Also, some of the equipment that may be needed is not something you go to Home Depot and buy.
I suspect the AI is using other data such as applicant's address or education credentials to infer the most likely race/ethnic group the person is in. While not 100% perfect, people tend to live in neighborhoods were most of the people are similar in background to them. It would not be difficult to tweak the algorithm to favor (or be biased against) specific groups by adjusting the ratings for someone from up/down as desired. Done subtly, the hiring manager may be oblivious to this unless they are constantly hiring and happened to notice a pattern.
Most people who have dealt with Artificial Incompetency despise it with a passion. The real problem is manglement thinks it can eliminate staff with minimal cost. But the real costs are subsidized currently to get users onto the system. Once the real costs hit, CFOs will have blood in their eyes and will be looking to execute the idiots who destroyed the corporate balanced sheets.
As noted about, the gun develops considerable pressure when a round is fired. The issue to me is, what materials are used in a 3D printer that can either handle the pressure immediately after creation or after the appropriate heat treatment/aging process to get suitable mechanical properties? Otherwise, you make a 'gun' that is potentially more dangerous to the shooter than the target.
It's a legitimate question as I don't know enough about the capabilities of a 3D printers to know what materials they can use.
My assumption about Mac/iOS vs Windows/Android serviceability is Apple makes hardware, basic software and OS for their devices. Thus, they have more control and, importantly, knowledge of both the underlying hardware and software. Windows/Android are generally installed on 3rd party hardware. This division means that hardware configurations are often more diverse and thus more difficult to account for. Now, it does help that the Rejects from Redmond send out slop and don't care about their user base which makes updates/upgrades more difficult risky for everyone.
On the liability issue, it's more complex than user entered bad data into Excel and got a bad result. It's what the seller said the tool to do and what a 'reasonable' non technical person would understand that to mean. AI is tooted as being able to do fairly complex tasks accurately without (or with minimal) supervision by a person. Excel is not marketed with this expectation. Excel is marketed as a tool to do a variety of calculations and analysis after the data and formulas are entered (hopefully correctly) by the user. In the case of AI the legal issue is at best murky while in the case of Excel it is almost always going to be on the user for any errors.
One problem with SETI is what should we be looking for. We are limited by our technology to things we can detect not what ET is actually using. Assuming FTL drives are possible, would we know what type of emissions they would presumably produce? And could we even detect them?
We are assuming ET is using technology similar enough to ours that we can detect signals from them.
Security issues with micro controller, PLCs, etc. have been noted for at least 25 years now. Looking at 40+ year old code and finding vulnerabilities isn't really news and really doesn't prove anything that isn't know or unexpected. If the system has been retired for decades now, this is purely an academic exercise that fundamentally proves nothing.
What really bothers about the AI fraud is the need for energy to power these datacenters. This means more electricity generation, thus more pollution and heat dumped into the environment. All of this very basic engineering and thermodynamics. Yet the frauds behind AI were complaining about climate change recently. Now climate change is not important. So what gives?
AI, at best, is a tool that might relieve some of the drudgery for certain tasks. But what Scam Altman and his fellow frauds say is it can do things that it can't and will never do competently. In all areas, 'the devil is in the details'. What will cause failure is 'AI' is fundamentally incompetent and must be babysat to be marginally useful.
While I have no doubt some of the people named in the Epstein files are actually guilty of crimes with him (see Randy Andy and his recent problems); there are a lot of people who had social and professional contact but never had any involvement with Epstein's crimes. What we are seeing is how many incestuous our elites are in that they seem to know each other and often hang out together.
It seems like when something like AI that is very energy intensive is critical to the latest bubble (investment fraud) climate change suddenly isn't important. Either you live by the need to lower energy usage and use less fossil fuels or you are a fraud that is exploiting climate change for your own political agenda. It seems that many of the AI shills are frauds because climate change is inconvenient if it presents them from defrauding investors.
With the proliferation of AI slopcenters and relatively limited places they can be built, the slopmeisters will run into NIMBY type resistance in many areas. Also, I am dubious that the slopmeisters will have a positive ROI from their slopcenters (or slopshitters).
A major problem with AI is not reflective. You give a set of instructions and out pops something that may be useful or more likely slop. Many real world problems require reflection and asking questions before developing an answer. So there might be a couple of rounds of questions and answers before actually finishing the project.
AI should be good at giving sort of correct answers for easily defined issues that have what are effectively 'Yes/No' answers.
My employer had most professional staff who could work a hybrid schedule before CoVid. We all went permanent WFH since. Management decided to reduce the amount of space rented, keeping only enough space for onsite operations that could not be done from home. So the WFH staff couldn't return to a cube because there is none for us to return to.
The at best half-assed design was going to murder people sooner or later. The comments highlight the reasons for this. Four innocent people were murdered because Rush was too arrogant to listen to those who know something about submersibles and submarines.
He was an aerospace engineer from an engineering program that was locally regarded as pathetic, I was told this by a couple of engineering managers who I knew as a kid, I grew up in the area.
Chipzilla makes specific hardware they sell to system builders. They do not understand how the system will be used by the end user. They do not directly deal with the end user. Chipzilla only has a handful of major customers they need to pay attention.
Software slingers usually sell to the nominal end user and thus have a much better of their needs. Also, software slingers have many more customers than a handful OEMs.
The markets are very different and require very different approaches.
Holmes was not baited by a honey trap by vulture crapitalists. She committed fraud. Also, looking at the investors I am struck by how none of the major ones had a biotech background. It seems the major biotech vultures did not like the taste of the carcass; must have been pretty bad tasting. Holmes was chasing after whales who had no business investing in biotech startup.
Kylin suffers from the same issue every other Linux distro suffers from (I am a die hard Linux user) is office and business software that is perceived to be just as good or better as that for BaaD. Also, sys admins might need some tools like Active Directory (not a sys admin). In many categories there are very few choices.
As far as usability, mainstream, desktop Linux distros are just as easy to use a Windows or MacOS.
To make chips at scale and at a reasonable price is not cheap nor technically easy. Also, some of the chemicals used are fairly dangerous. One noted that HF is used which has an interesting habit of penetrating skin and attacking bone (I am originally a chemist); a rather nasty and hard to treat injury. I am fairly certain there are many more issues that prevent most from even attempting to make chips in their garden; I certainly would not bother to try.
Congress critters seem to always moan about the current retail behemoth. I can remember when Wally World was a favorite target, today its Amazon. From the way the bill is written I have my doubts the courts will let it stand anyway. There are antitrust laws on the books and I wonder way they could not be used; but then it would DOJ that would get the credit not America's Native Criminal Class.