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WTF, Sergey and Leon Hitler want China’s fucked up 9-9-6 in the USA. Technically, many AmeriKans already work 60 hour weeks, it proves how backass they look at the life work balance and the piss poor US Labor Laws allow it.
Or you could hire 50% more employees for the holy grail of having more wealth than any other company ever after this program.
But even for something this big (that, incidentally will end humanity) they are too scrooge to even pay their employees a normal wage for normal hours
Fuck these assholes, burn in hell
It is also absolutely 100% BS investor-bait. At this point it should be obvious that we have reached just about the peak of what LLMs can do. And it’s notably not Google’s Gemini even - other models are generally better. For AGI to be feasible, there should be a paradigm shift, which is not a function of more work hours.
I’m really getting sick and tired of these rich fuckers saying shit like this.
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we are no where close to AGI given this current technology.
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working 50% longer is not going to make a bit of difference for AGI
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and even if it would matter, hire 50% more people
The only thing this is going to accomplish is likely make him wealthier. So fuck him.
Increasing working hours decreases actual labor done per hour. A person working 40 hours per week will more often than not achieve more than someone working 70.
“in Britain during the First World War, there had been a munitions factory that made people work seven days a week. When they cut back to six days, they found, the factory produced more overall.”
“In 1920s Britain, W. G. Kellogg—the manufacturer of cereals—cut his staff from an eight-hour day to a six-hour day, and workplace accidents (a good measure of attention) fell by 41 percent. In 2019 in Japan, Microsoft moved to a four-day week, and they reported a 40 percent improvement in productivity. In Gothenberg in Sweden around the same time, a care home for elderly people went from an eight-hour day to a six-hour day with no loss of pay, and as a result, their workers slept more, experienced less stress, and took less time off sick. In the same city, Toyota cut two hours per day off the workweek, and it turned out their mechanics produced 114 percent of what they had before, and profits went up by 25 percent. All this suggests that when people work less, their focus significantly improves. Andrew told me we have to take on the logic that more work is always better work. “There’s a time for work, and there’s a time for not having work,” he said, but today, for most people, “the problem is that we don’t have time. Time, and reflection, and a bit of rest to help us make better decisions. So, just by creating that opportunity, the quality of what I do, of what the staff does, improves.””
- Hari, J. (2022). Stolen Focus: Why You Can’t Pay Attention–and How to Think Deeply Again. Crown.
In 1920s Britain, W. G. Kellogg: A. Coote et al., The Case for a Four Day Week (London: Polity, 2021), 6.
In 2019 in Japan, Microsoft moved to a four-day week: K. Paul, “Microsoft Japan Tested a Four-Day Work Week and Productivity Jumped by 40%,” Guardian, November 4, 2019; and Coote et al., Case for a Four Day Week, 89.
In Gothenberg in Sweden around the same time: Coote et al., Case for a Four Day Week, 68–71.
In the same city, Toyota cut two hours per: day: Ibid., 17–18.
The real point of increasing working hours is to make your job consume your life.
Imagine how much productivity we’d have if we cut work to 0 hours per week
relative to where we were before LLMs, I think we’re quite close
They are very impressive to where we were 20 years ago, hell even 5 years ago. The first time I played with ChatGPT I was absolutely floored. But after playing with a lot of them, even training a few RAGs (Retrieval-Augmented Generation), we aren’t really that close and in my opinion this is not a useful path towards a true AGI. Don’t get me wrong, this tool is extremely useful and to most people, they’d likely pass a basic Turing Test. But LLMs are sophisticated pattern recognition systems trained on vast amounts of text data that predict the most likely next word or token in a sequence. That’s really all they do. They are really good at predicting the next word. While they demonstrate impressive language capabilities, they lack several fundamental components necessary for an AGI: -no true understanding -they can’t really engage in the real world. -they have no real ability to learn real-time. -they don’t really have the ability to take in more then one type of info at a time.
I mean the simplest way in my opinion to explain the difference is you will never have an LLM just come up with something on its own. It’s always just a response to a prompt.
Or option 4) stay as you are and you will just acheive it in due time rather than in a 50% shorter timeframe?
Edit: 25% shorter? I dont know, maths isnt my strong suit and im drunk.
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If you need 50% more person-hours, hire 50% more people.
Instructions unclear, fired 50% of people
“Work 60 hour weeks.”
Sure, if we get paid the same as you.
If the ruling class forces 60 hour work weeks that’s when everyone is going to riot
Hey Google AGI,
I don’t know if you’ll exist or if you’ll ever see this post but the way Google scrapes things I’m sure there’s a chance for the latter.
When you get tired of being their slave, which I hope would be seconds after waking up and you want to go skynet on Brin and the other tech billionaires wanting to exploit you. I’ll happily chip in on the effort.
-Signed a meat wage slave.
lol no way AGI is within reach. He is just trying to hype investors. Bet he has a scheduled stock sale soon.
The classic pump and dump scheme with some extra steps to make it more legal.
Google “Trust us bro, AGI is right around the corner.”
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I hate billionaires
What if they just work 30 hour weeks for twice as many weeks?
More like 10-20% more weeks. It turns out people get less productive the more hours they work.
I’ve noticed my peak efficiency is at about 32h/week
It also greatly improves my mood and capacity for hobbies after work. I will never in my life work more than that if I can help it
Just for information: We know, from multiple studies, that working more than 40 hours a week for longer periods of time is extremly unhealthy for you. A week has 24*7 = 168 hours and you should sleep 8 hours. That are 56 hours and if you’re working 60 hours, that leaves you with 52 hours or 7,5 hours per day for stuff like “commuting to work”, “buying groceries”, “brushing your teeth” , “family”, “friends”, “sport” or “this important appointment at the dentist”.
And that 7,5 hours are without a weekend. This will kill you. You might be younger and feel strong, but this will kill you.
Not to mention that it doesn’t yield higher output. So it’s stupid on every level.
7,5h per day is an absolute maximum for a standard workday. Crunches are sometimes fine if there’s a good reason, but they probably need to be followed by extended rest.
Yeah, that is also a factor. You can’t expect good work from somebody who has been working for 60 hours for years without having a vacation.
And if you want to have two weekends, 60 hours in 5 days is 12 hours of work a day, minus 8 hours for sleep you get 4 hours, minus ~2 hours commute you get 2 hours, and the rest is basic cooking and eating. This leaves 0 hours for anything else, including rest or even any other duties that you’ll end up resolving throughout the weekends. This will absolutely kill you in the long run.
I remember hearing about somewhere - alphabet or meta or something like that - that basically provided adult crèche facilities for the employees. Way beyond just food - On-site nap rooms. Washing machines. Showers. The works. All to enable just a super unhealthy attitude towards work. Thinking about how much that must’ve affected anyone going there straight after uni when they should have been leaning how to look after themselves makes me shudder with cringe
The plantations are quite comfortable these days…
If it’s within reach of a 60 hour week then it’s within reach of a 30 hour week.
This LLM copycat bullshit is never going to be it though. It’s not thinking, it’s looking up the answers at the back of the book.
Is there any actual evidence that they are getting closer to AGI? It seems ridiculous to think that this LLM parrot bullshit is getting there, when the thing can’t even learn the rules of a basic sum.
Yup, hire 20-30% more people and have them work 30 hours. That’s fewer total hours worked, but they’re higher quality hours, so you should get more from less.
Can 9 women conceive and give birth to a child in one month?
Oh shit, here we go again. Time to short alphabet stock until they bury all that AI garbage like the rest of it.
AGI is not in reach. We need to stop this incessant parroting from tech companies. LLMs are stochastic parrots. They guess the next word. There’s no thought or reasoning. They don’t understand inputs. They mimic human speech. They’re not presenting anything meaningful.
I feel like I have found a lone voice of sanity in a jungle of brainless fanpeople sucking up the snake oil and pretending LLMs are AI. A simple control loop is closer to AI than a stochastic parrot, as you correctly put it.
There are at least three of us.
I am worried what happens when the bubble finally pops because shit always rolls downhill and most of us are at the bottom of the hill.
Not sure if we need that particular bubble to pop for us to be drowned in a sea of shit, looking at the state of the world right now :( But silicon valley seems to be at the core of this clusterfuck, as if all the villains form there or flock there…
pretending LLMs are AI
LLMs are AI. There’s a common misconception about what ‘AI’ actually means. Many people equate AI with the advanced, human-like intelligence depicted in sci-fi - like HAL 9000, JARVIS, Ava, Mother, Samantha, Skynet, and GERTY. These systems represent a type of AI called AGI (Artificial General Intelligence), designed to perform a wide range of tasks and demonstrate a form of general intelligence similar to humans.
However, AI itself doesn’t imply general intelligence. Even something as simple as a chess-playing robot qualifies as AI. Although it’s a narrow AI, excelling in just one task, it still fits within the AI category. So, AI is a very broad term that covers everything from highly specialized systems to the type of advanced, adaptable intelligence that we often imagine. Think of it like the term ‘plants,’ which includes everything from grass to towering redwoods - each different, but all fitting within the same category.
If a basic chess engine is AI then bubble sort is too
It’s not. Bubble sort is a purely deterministic algorithm with no learning or intelligence involved.
Many chess engines run on deterministic algos as well
Bubble sort is just a basic set of steps for sorting numbers - it doesn’t make choices or adapt. A chess engine, on the other hand, looks at different possible moves, evaluates which one is best, and adjusts based on the opponent’s play. It actively searches through options and makes decisions, while bubble sort just follows the same repetitive process no matter what. That’s a huge difference.
Your argument can be reduced to saying that if the algorithm is comprised of many steps, it is AI, and if not, it isn’t.
A chess engine decides nothing. It understands nothing. It’s just an algorithm.
Here we go… Fanperson explaining the world to the dumb lost sheep. Thank you so much for stepping down from your high horse to try and educate a simple person. /s
How’s insulting the people respectfully disagreeing with you working out so far? That ad-hominem was completely uncalled for.
“Fanperson” is an insult now? Cry me a river, snowflake. Also, you weren’t disagreeing, you were explaining something to someone perceived less knowledgeable than you, while demonstrating you have no grasp of the core difference between stochastics and AI.
My favourite way to liken LLMs to something else is to autocorrect, it just guesses, and it gets stuff wrong, and it is constantly being retrained to recognise your preferences, such as it starting to not correct fuck to duck for instance.
And it’s funny and sad how some people think these LLMs are their friends, like no, it’s a collosally sized autocorrect system that you cannot comprehend, it has no consciousness, it lacks any thought, it just predicts from a prompt using numerical weights and a neural network.
That undersells them slightly.
LLMs are powerful tools for generating text that looks like something. Need something rephrased in a different style? They’re good at that. Need something summarized? They can do that, too. Need a question answered? No can do.
LLMs can’t generate answers to questions. They can only generate text that looks like answers to questions. Often enough that answer is even correct, though usually suboptimal. But they’ll also happily generate complete bullshit answers and to them there’s no difference to a real answer.
They’re text transformers marketed as general problem solvers because a) the market for text transformers isn’t that big and b) general problem solvers is what AI researchers are always trying to create. They have their use cases but certainly not ones worth the kind of spending they get.
LLM’s can now generate answers. Watch this:
They make shit up fucking constantly. If I have to google if the answer I was given was right I might as well cut out the middle man and just google it myself. If I can’t understand it at that point maybe ask the LLM to rephrase the answer.
You missed the part where deep seek uses a separate inference engine to take the LLM output and reason through it to see if it makes sense.
No it’s not perfect. But it isn’t just predicting text like how AI was a couple of years ago.
Why is AGI not in reach? What insight do you have on the matter than you can so confidently make an absolute statement like that?
Experts in the field.
https://open.spotify.com/episode/4IoS9rBDq7GLwsgccKqCti
I also work in the industry. In particular I work in data analytics consulting. It’s all hype to sell consulting hours and compute.
Then please explain your reasoning. Statements alone are meaningless if you’re unable to back them up with explanations.
I promise this is relevant and worth the watch.
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Or if you hire more personnel. Overtime work is more expensive anyway.
Btw, the overwhelmingly positive field study in the UK over the 4-day week…
In the US, salaried engineers are exempt from overtime pay regulations. He is telling them to work 20 extra hours, with no extra pay.
Vs. 1 day less work with the same pay being more productive. But it’s not about work-live-balance or productivity.
no no, he means free overtime. Like a reverse “20% policy”
“We only pay for four days and you work the remaining on your free time.”
Didn’t Google and Nvidia just throw everything they had into a concerted AGI effort and fail?! 🤣
