the_wonderfool

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.

It’s not only inherent to the technology, it is actively trained, as sycophancy brings more engagement…

To the surprise of nobody, people that only get information from sources that validate their own beliefs (in this case social media and corporate LLMs), ends up believing all kinds of hoaxes.

I would not be surprised to find similar rates among people that only rely on religious figures for health matters.

To look at? Coolest shit in the block

To use? I struggle sewing with full midday sunlight, I can’t imagine being able to see shit with a strongly colored backlight…

No no, from the full article it seems they are building (again) a database of people’s biometrics. They are kept in the app, but from an early analysis it looks like there is a client-server mechanism to “pull” biometric information to your phone and start recognizing people with your glasses. I guess only time will tell how they will implement it, and if there will be enough pressure again to have them remove this terrible functionality.

“Though not yet enabled, NameTag sits inside a Meta AI companion app that’s been downloaded over 50 million times and is necessary for use of key features of its smart glasses, including Ray-Ban and Oakley models. If activated, it will transform faces captured by Meta’s glasses into unique biometric signatures, commonly known as faceprints, and check each one against faceprints stored on the user’s phone—a database that’s currently configured to receive updates from Meta. Recognized faces will trigger notifications, while the rest are cropped, indexed, and saved to a folder marked ‘pending’.”

It seems that the code is in the specific app for the glasses. Another very relevant passage:

“NameTag would revive a type of technology Meta said it had sunsetted in 2021, when the company announced it would delete more than a billion faceprints belonging to Facebook users following years of controversy over its photo-tagging system. Meta ultimately paid $650 million to settle a class-action lawsuit brought by Illinois users and, in 2024, agreed to a separate $1.4 billion settlement with Texas over allegations it had unlawfully collected biometric data from users.”