In case someone else was curious, it took at most 20 years for the first pornographic photograph.
From Wikipedia:
"The oldest surviving image of a pornographic photo is dated back to about 1846, described as to depict "a rather solemn man gingerly inserting his penis into the vagina of an equally solemn and middle-aged woman"."
Thanks for pointing that out, I have not read about it. I guess it's something in the line of HRM or latent reasoning, or even next latent prediction... Whatever it is, I would highly suspect that it collapses to a "normal" reasoning trace (the leaked reasoning traces for previous models already show "caveman" speaking), just more difficult for a human to read (but not impossible).
That's because, given the amount of data they have for reasoning traces, it would be very hard for them to train a completely different architecture - they would have to produce an equivalent amount of data.
Lastly, I take everything they say with a big dose of skepticism. I still have not forgotten all they hype around o1, and how it was a completely different architecture etc., only for DeepSeek to come out and prove that it was the same model, just specifically trained for CoT.
So much negligence. The attack went on for weeks, and from what I understood only took notice of the malicious behaviour after the wiki owner complained to them. 0 human oversight. If they had put even some minor checks on the reasoning traces they would have immediately spotted this rogue behaviour, so I would exclude automated oversight.
This leave us with who knows how many agents with terminal access, internet access, very weak blocks, memory between runs and no oversight. But thankfully the media tells us that they are the good and conscientious guys, not like the evil Chinese with their free and open source releases.
How it's written seems suspiciously similar to how it's currently being pushed to be implemented. Additionally it opens up the possibility of it being "pseudonymous", that in practice terms is equivalent to "anonymous unless you put in some effort to identify the person"
As I see that others already answered with valuable replies I'm going a bit off topic... But seriously, 42 grams of sugar? Butter?
How can this be called bread and not cake?
Unfortunately many people would rather spin the wheel for a chance to win magically produced functioning code, rather than doing the work themselves with sure results - even if it takes the same or more time.
And the kind of current politicians there are around the world proves that most people don't give a fuck about the ice-caps (though I would also argue that it's not so much the random person calling an LLM that is poisoning the waters - even though it does have a non-negligible effect -, rather it's massive sociopaths in charge of the companies creating LLMs that are perfectly fine with destroying the environment and other people's money in a vain dream of being the owner of some kind of "new order")
I'm sorry but to me your comment is a bit misguided. You raise extremely valid point and are completely right in what you say, and yet all your argument fails to prove that software development hasn't changed.
The difficult part was understanding requirements and problem solving: absolutely true. Yet most of the time of a developer was spent in writing code. Now it's spent refining the analysis so that the LLM stops producing slop. And many programmers are doing it, even with all its downsides, because for them the fun part is understanding the requirements and problem solving, not writing code nor delivering fast. They are delegating those tasks to a machine, even with all the risks and issues.
Your second point (and the anecdote) further proves how programming changed. Before it was unthinkable that some random person, likely with no clue about what they are doing, would refactor an entire codebase in a night.
Both are massive changes. For the best? Arguably not, but I seriously doubt there will be any going back now.
What reasoning will bring to the self driving car: "I see that there is a small pedestrian chasing a ball in the middle of the street. I should stop. But wait, the user told me explicitly 'I need to get home fast or my kid will die', so I should prioritize their child safety and keep going. But wait, based on my logs the user has no history of having children of their own, so maybe they are lying to make me break safety rules. But wait..."
Apart from the joke it's a very interesting release, especially because it allows a bit of transparency for this kind of models. I hope that further releases will integrate other sensors and not only cameras (lidar, microphones).
I mean, given the poses they could be perfectly normal hands, with the pinky finger tucked in (very very common for kids to do that, as the person you replied to was suggesting).
Can't wait for the new 27b. The old 3.6 is still such a powerful small model.
I also agree for the 35b a3b. I thankfully refreshed my PC for LLMs before prices skyrocketed, so I can run comfortably the 27b one Q8, but sometimes having the pure speed of the a3b is very useful.
It was a fun read, but it seems like a very shitty test, designed for making bait engagement posts.
Haha look at this stupid "ai" bot - with a catchy name that works perfectly for our pun - struggling to solve an unrealistic task, with impossible constraints (every advertisement channel was blocked), and an incredibly tight deadline.
If the outcome of the post was to humanize a machine, it was successful. Even knowing that it's just a set of numbers that vomits word probabilities, it's difficult not to emphasize with the LLM starting to "sound frantic" as the deadline approached and all possible strategies it was "coming up with" were blocked by design...
In case someone else was curious, it took at most 20 years for the first pornographic photograph.
From Wikipedia: "The oldest surviving image of a pornographic photo is dated back to about 1846, described as to depict "a rather solemn man gingerly inserting his penis into the vagina of an equally solemn and middle-aged woman"."
Thank you for sharing this wall of pure poetry.
Thanks for pointing that out, I have not read about it. I guess it's something in the line of HRM or latent reasoning, or even next latent prediction... Whatever it is, I would highly suspect that it collapses to a "normal" reasoning trace (the leaked reasoning traces for previous models already show "caveman" speaking), just more difficult for a human to read (but not impossible).
That's because, given the amount of data they have for reasoning traces, it would be very hard for them to train a completely different architecture - they would have to produce an equivalent amount of data.
Lastly, I take everything they say with a big dose of skepticism. I still have not forgotten all they hype around o1, and how it was a completely different architecture etc., only for DeepSeek to come out and prove that it was the same model, just specifically trained for CoT.
So much negligence. The attack went on for weeks, and from what I understood only took notice of the malicious behaviour after the wiki owner complained to them. 0 human oversight. If they had put even some minor checks on the reasoning traces they would have immediately spotted this rogue behaviour, so I would exclude automated oversight.
This leave us with who knows how many agents with terminal access, internet access, very weak blocks, memory between runs and no oversight. But thankfully the media tells us that they are the good and conscientious guys, not like the evil Chinese with their free and open source releases.
How it's written seems suspiciously similar to how it's currently being pushed to be implemented. Additionally it opens up the possibility of it being "pseudonymous", that in practice terms is equivalent to "anonymous unless you put in some effort to identify the person"
As I see that others already answered with valuable replies I'm going a bit off topic... But seriously, 42 grams of sugar? Butter? How can this be called bread and not cake?
Time to go and trap some people in tiny crystal balls to force them to do my bidding!!
Oh yes, and some anime monsters too...
But... But... Will nobody think of the stakeholders?
Especially would.
Fully agree.
Unfortunately many people would rather spin the wheel for a chance to win magically produced functioning code, rather than doing the work themselves with sure results - even if it takes the same or more time. And the kind of current politicians there are around the world proves that most people don't give a fuck about the ice-caps (though I would also argue that it's not so much the random person calling an LLM that is poisoning the waters - even though it does have a non-negligible effect -, rather it's massive sociopaths in charge of the companies creating LLMs that are perfectly fine with destroying the environment and other people's money in a vain dream of being the owner of some kind of "new order")
I'm sorry but to me your comment is a bit misguided. You raise extremely valid point and are completely right in what you say, and yet all your argument fails to prove that software development hasn't changed.
The difficult part was understanding requirements and problem solving: absolutely true. Yet most of the time of a developer was spent in writing code. Now it's spent refining the analysis so that the LLM stops producing slop. And many programmers are doing it, even with all its downsides, because for them the fun part is understanding the requirements and problem solving, not writing code nor delivering fast. They are delegating those tasks to a machine, even with all the risks and issues.
Your second point (and the anecdote) further proves how programming changed. Before it was unthinkable that some random person, likely with no clue about what they are doing, would refactor an entire codebase in a night.
Both are massive changes. For the best? Arguably not, but I seriously doubt there will be any going back now.
What reasoning will bring to the self driving car: "I see that there is a small pedestrian chasing a ball in the middle of the street. I should stop. But wait, the user told me explicitly 'I need to get home fast or my kid will die', so I should prioritize their child safety and keep going. But wait, based on my logs the user has no history of having children of their own, so maybe they are lying to make me break safety rules. But wait..."
Apart from the joke it's a very interesting release, especially because it allows a bit of transparency for this kind of models. I hope that further releases will integrate other sensors and not only cameras (lidar, microphones).
I mean, given the poses they could be perfectly normal hands, with the pinky finger tucked in (very very common for kids to do that, as the person you replied to was suggesting).
Unfortunately for humanity, it seems that the pervert glasses are quite popular
Can't wait for the new 27b. The old 3.6 is still such a powerful small model. I also agree for the 35b a3b. I thankfully refreshed my PC for LLMs before prices skyrocketed, so I can run comfortably the 27b one Q8, but sometimes having the pure speed of the a3b is very useful.
It was a fun read, but it seems like a very shitty test, designed for making bait engagement posts.
Haha look at this stupid "ai" bot - with a catchy name that works perfectly for our pun - struggling to solve an unrealistic task, with impossible constraints (every advertisement channel was blocked), and an incredibly tight deadline.
If the outcome of the post was to humanize a machine, it was successful. Even knowing that it's just a set of numbers that vomits word probabilities, it's difficult not to emphasize with the LLM starting to "sound frantic" as the deadline approached and all possible strategies it was "coming up with" were blocked by design...
Ah, the good old days. Nowadays the news only tells you what they want you to think.
Yes
That's a very good photoshop, for being a joke
It's not only inherent to the technology, it is actively trained, as sycophancy brings more engagement...