If there's anybody from the mayor's office reading this, how about that all banks must provide their services at minimum on a browser through a web app and cannot mandate the use of a smartphone.
1,088 karma · joined October 15, 2022
If there's anybody from the mayor's office reading this, how about that all banks must provide their services at minimum on a browser through a web app and cannot mandate the use of a smartphone.
It's weird that people are sleepwalking into this single point-of-failure dystopia instead of regulating it out existence and only realize it when their phone gets damaged or lost or is glitching in some deal-breaking way.
Here's a tip, if you want people to help you out don't start with, "I don't have an smartphone..."
Instead, say a variation of "Hey, my camera's broken/the app keeps crashing on my phone. Can you help me out?" People tend to be a lot more sympathetic.
I've never had issues with the restaurant QR thing.
me:"Hey, my camera doesn't work can you help me out?"
waiter: "Sure you can take a look on my phone/use this tablet."
Like, I have to fix my phone's camera before I can park in your city? are you kidding me?
I guess it's better than him joining OpenAI, where I could see Altman being more "creative" with the books than Amodei. But I just don't Bernanke pushing back or blowing any whistles when things start smelling funny.
To tie it to the sibling comment about Bosnia, Paddy Ashdown who was the High Representative for Bosina & Herzegovina was also one of the lone voices warning about the Afghanistan war in the beginning.
I wasn't able to find the article containing the original warnings, but here is one article from the early days[0].
[0] https://www.theguardian.com/politics/2001/oct/11/britainand9...
"Who has all the power in the real world?"
If the answer in reality is a few white men have most of the power, how can you insist that they are claiming all white men have the power?
Whether they believe it not, there is no specific point about "heterosexual white men in general". These are your words and do not appear anywhere in their comment.
To not care who you are would mean not only having to review the current code as is, but to review every update that follows as possibly written by a hostile party. Ie, the time invested would be several times of that invested in something written by a more trusted party.
Sure extreme heat might ruin the seas too eventually (there is already talk of Asian jellyfish species being spotted in record warm sea temperatures) but the amount of due dilligence needed is non-existent compared to the US, Australia, or far east Asia.
They also have colder beers than Germany probably for the same reason. Nothing beats the culture acclimation of wincing while sipping lukewarm beer under the July sun in 100+ degrees Berlin.
No, that's not a given. It would be more accurate to say it is content people will watch, and not necessarily want to watch. I mean people will watch porn, I'm not sure they want to watch porn.
If you asked someone before vine or tiktok whether you wanted to watch an unending carousel of thirty second videos from nobodies for four hours straight I'm not sure a lot of people would say yes.
Am I the only one who sees ragebait titles to youtube videos that do not contain a modicrum of the rage that is advertised in the title?
I don't think we need to conflate algorithmic nudging with the conscience preference of the user frankly.
Just to give one example, you have the Google founders bending the knee to Trump these days whereas when Trump started his first term you had articles like this:
"Google co-founder Sergey Brin joins protest against immigration order at San Francisco airport" (2017)
Funnily enough though, the benefits don't seem to scale to the work environment as smoothly across the board. It's almost as if, to use pg's famous line, they built things that don't scale.
The moment you scale AI beyond the personal context, the noisiness and non-determinism of the technology starts wrecking havoc in ripples through the industry, damn the productivity. Managing the slop you've created, but more importantly (I would normally put an emdash here) managing the slop others created turns out to be a problem as big as the tech that created it.
What is the evidence of this? Isn't it strange no revolutionary product has yet been created from the coding output of this technology? More to the point, the only thing that comes close is the Claw. So what we have as the first breakaway product is something to help orchestrate the slop generators, instead of say, a new Phone OS that rivals Android and iOS, or a Metaverse that is actually worthy of its name. Nothing to see here, just more shovels to shovel the shit essentially.
We are still in the grasp of the electric and information revolution. Peter Thiel said more than a decade ago that if you compare life in the 70s and now the only major visible difference would simply be more screens in various forms nowadays. This he presented as evidence that no new revolutionary technology has been created in the interim. At present, the same is more true of AI. It has made access to information faster than before. However, unlike other processes of learning, it has made it more difficult to ascertain the correctness of the information presented. It is doing this by actively removing the direct connection between the information it presents and the primary sources responsible for that information (think Google replacing its search field with an AI field).
The non-LLM AI stuff in the medical field is what I find most promising. Not the banal AI doctors and nurses replacing real doctors and nurses, but more the research end of things, where hallucinating and pattern matching to create new compounds to test seems promising. Of course, any technology that is able to routinely aid discoveries in applied maths and physics will also be welcome.
If this half decade saw an explosion of new bespoke hardware being built and sold aided by LLMs (think a tech shop of 10 employees being able to build and sell robust smartphones from scratch to a niche market sustainably etc), or jumpstarts an era of reverse engineering on crack that pierces through the tech oligopoly then that would be evidence of disruption on a macro scale... But no, alas, we are still waiting.
No one really seems to want to answer the simple question: "Why would anyone be willing to buy your AI slop when there is no barrier for a company to generate their own with the same or lower cost?"
If general public habits shift to the extent that the majority of people with headphones end up only using them for noise cancelling then my behavior would also shift accordingly.
It's also said that four companies control 85% beef market in the US, which normally should make people rather queasy I would think.
Wait, you mean the same Hamas that Israel knowingly funded, the same one Netanyahu bragged about funding?
[0]
"For years Netanyah propped up Hamas. Now it has blown up in our face."
https://www.timesofisrael.com/for-years-netanyahu-propped-up...
[1]
"Netanyahu admits funding Hamas with $35m monthly Qatari cash."
https://dailytelegraph.co.nz/news/netanyahu-admits-funding-h...
Calling hallucinations simply mistakes does not seem to me to be a healthy way to reason about LLMs. I can ask a collegue how well they can program in Ada and adjust my expectations on productivity and bug rates. I can't ask an LLM how well they can code in Ada (just a throwaway example), or even how much of Ada was in its training data. I have to actually spend money and spend time code reviewing before I can even formulate any expectations at all.
That's absolutely false. My collegues don't routinely and confidently invent apis that are not there, or spectacularly and repeatedly misunderstand the purpose of certain functions or exhibit extreme forgetfullness. Especially when I've warned them. Hallucinations and confabulations in otherwise healthy individuals are mental disorders. When I ask them why they made an certain kind of error, I can expect to get a reasonable answer. No one has uttered the phrase "Bob hallucinated again while writing those tests" when the Bob in question is a human.
The parent is implying they would prefer an AI when working in the airline and health industry because it makes less errors. Read the comment again.
They have not said, "Hey, I work in the airline and health industry and I'd love to use AI for a couple of the bullshit IT UIs we have as long as we can put guardrails on the AI to stay in its lane."
I asked a yes or no question. The guardrails you can put to mitigate errors are the same guardrails pre-AI for the humans (tests, regressions, reviews). If you were wary of employing a top lead engineer with verifiable dementia prior to AI for a mission critical system, logic implies you should think twice giving that much responsibility to an AI as well.
> The hallucination thing I think is mostly overblown
Can you predict when and how the SOTA model will hallucinate? Yes or no. Can you predict the severity impact of that error beforehand? Yes or no.
>from speaking to colleagues it seems to vary wildly depending on which model and harness you are using
You have partially answered my question it would seem.
Genuine question: your top coder seems to be producing the most error-free code from your perspective, has the deepest knowledge of the architecture and codebase, and is faster on the trigger than the others.
But your top coder has proven and verifiable dementia, where they will confidently assume the existence of apis and code that do not exist, mix up the purpose of others and forget other things, and you can't predict when and how they will introduce errors into the system or the severity of such errors.
Are you really comfortable letting this person with dementia generate most of your codebase in the airline and health industry?
I also hope you have an iron-clad agreement that prevents the model provider from doing silent updates because all your evidence of correctness you collected thus far goes out the window in that case.
Another genuine question:
You have witnessed a human coder and the AI you're using make the same important mistake. Assuming you do not have the time and resources to retrain, fine tume, and test your frontier model:
Who would you trust not to make the same mistake multiple times in the future after you have warned them that their job depends on it, the AI or the human?
The why of this is not explained by you nor the original comment referring to the lack multiculturism, it is simply asserted. That's why the original comment came off as nonsensical. More than a quarter Singapore's population are foreign workers, and they make up at least 40% of Singapore's entire workforce. Seeing as the workforce that is driving Singapore's economic growth is not a monoculture your claim needs a little tweeking I would think.
I'm not claiming this means Singapore is embracing multiculturalism in the same way I don't claim the UAE embraces multiculturalism due to similar foreign workers dynamics, but not putting a disclaimer involving these stats while talking about the benefits of monoculture and lauding a country for its realism is a ridiculous sidestepping of reality. Both Singapore and the UAE are extremely cosmopolitan.
>Multiculturalism is essentially pacification because obviously this is unpopular
Why would it be unpopular to the dominant monoculture to maintain the monoculture? Who is being pacified when a country embraces multiculturalism? Please explain.