And this is how you know that the American legal system should not be trusted.
Mind you I am not saying this an easy case, it's not. But the framing that piracy is wrong but ML training for profit is not wrong is clearly based on oligarch interests and demands.
Funny how the author immediately decided to shut everything down when he realized the number of peer/torrents still sending requests to the domain.
Some of the most telling anecdotes in Careless People involve Kaplan, who joined Facebook’s policy team in 2011 and was promoted to Chief Global Affairs Officer earlier this year. She writes that Kaplan, who was a deputy chief of staff in the George W. Bush White House, was “surprised to learn Taiwan is an island” and that “often when we start to talk about pressing issues in some country in Latin America or Asia, he stops and asks me to explain where the country is.”
This almost seems difficult to believe, but considering the state of the world, I wouldn't be surprised if it is true.
By now, Meta’s failures in Myanmar, where hate speech and misinformation on Facebook helped incite a genocide, are well documented. Wynn-Williams, who early in her tenure flew to Myanmar to try to sell officials there on the company’s connectivity projects, describes her futile attempts to get more resources for content moderation in the country.
She blames Kaplan in particular. She says she “started this long process of trying to hire someone for Myanmar in 2015” and found a human rights expert who fit the bill in May 2016, but Kaplan blocked her from making the hire in February of 2017. He allegedly told her to “move on and get over it.” She later concludes that “when it came to Myanmar, those people just didn’t matter to him.”
In a just world, Kaplan and Zuckerberg would be required to do mandatory multi-decade community service work as live-in junior janitors at major Rohingya refugee camps in Bangladesh. For example, in Bhasan Char island.
“hey police, someone threw cheese at my car, I’m in fear for my life.”
This had me chuckling.
I think the world would be a better place if we collectively perma-banned all American digital services (while helping NGOs/open source projects relocate their infrastructure and legal organisations out of the US).
There would be a lot more competition, a wider variety of product offerings, more regional customisation, a bigger focus on long tail services.
It would be messy at first, but that's the nature of a transition from an oligarch model to a competitive model.
While what I am saying may sound like a pipe dream or pettyness, but from my perspective everything starts from a small step.
And if you don't live in the US (but are unfortunately impacted by their internal politics), you do have to take a more sober attitude towards their claimed commitment to democracy, free markets and rule of law.
The one silver lining about the new US administration is that it has helped undermine some fundamental notions around American exceptionalism.
American oligarchs are not that different from oligarchs in other countries.
It's like we are living in some sort of satirical, absurdist play or novel about a dystopian future.
I really hope this is the beginning of a massive correction on AI hype.
I didn't really get this either.
I did think the final paragraph was notable, a "zeitgeist of our times" if you will:
The absurdity of the situation prompted tech author and journalist James Vincent to write on X, "current tech trends are resistant to satire precisely because they satirize themselves. a car park of empty cars, honking at one another, nudging back and forth to drop off nobody, is a perfect image of tech serving its own prerogatives rather than humanity’s."
Given a sufficient amount of text, the method is said to be 99.9 percent effective.
If that's really the case, they should release some benchmarks. I am skeptical. Promising the world is a key component of their "business model".
I am increasingly starting to believe that all these rumors and "hush hush" PR initiatives about "reasoning AI" is an attempt to keep the hype going (and VC investments) till the vesting period for their stock closes out.
I wouldn't be surprised if all these "AI" companies have come to a point where they're basically at the limits of LLM capabilities (due to problems with its fundamental architecture) while not being able to solve its core drawbacks (hallucinations, ridiculously high capex and opex cost).
Keep in mind the original X Elite benchmarks were never replicated in real world devices (not even close).
They used a desktop style device (with intense cooling that is not possible with laptops) and "developed solely for benchmarking" version of Linux (to this day X Elite runs like shit in Linux).
This is almost certainly a premeditated attempt at "legal false advertising".
Mark my words, you'll never see 4,000 points in GB6 ST on any real products.