Blockchain Capital

Did not know they got money from a crypto firm.

I never joined Bluesky because I don’t trust any commercial US-based social networks. The American VC culture is hopelessly corrupt.

Investment from some crypto criminals is the cherry on top.

Cheers!

Would be curious to read the LLM output.

I find after reading a selection of LLM generated poetry/short fiction, you start notice signs of a generated text. It tends to be a bit too polished, without any idiosyncrasies and with almost too much consistency in the delivery.

EDIT: So I read the short story. To be honest, I am don’t think I would be able to tell whether this was LLM generated or written by a writer. There are some subtle signs, but it’s very much possible that I am seeing these signs because I knew it was LLM generated.

One thing to point out is that this is not really a short story, it’s less than a thousand words with honestly not much going on and there is lots of colourful descriptive text. I was expecting something in the range of 3K to 5K words.

After reading the “short story”, I am not sure I agree with the methodology. Some of their test statements include “I was interested in the struggles of these characters” and “This story deserved to be published in a top literary journal”. The story is not long enough enough to make meaningful conclusions about such test statements.

Their approach to willingness to pay also doesn’t make sense as it’s too short. Here is their graph for the TWP metic:

This seems artificial, no one is going to pay 30 cents in a real world scenario for such a text (irrespective of whether you think it was written by a person or if it was LLM generated). The respondents might rate it at being worth 30 or 40 cents as part of the survey, but that’s not the same thing as actually going through with a purchase. I will note they didn’t simply ask for a value and they did have a system tied to the survey payout; but this almost seems irrelevant.

Well said!

Definitely, US courts lack institutional maturity for such cases.

There are presidents with war criminals in some African countries being tried in international court system due to challenges with local courts systems.

I was refering to Kaplan specifically. Considering his background it seems a bit strange, but unfortunately very much believable. :(

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.

Yeah, this seems to be an example of anthropomorphication of tech that so commonly used to keep the AI grift going.

P.S. I actively use many ML solutions (local LLM, ML video upscaling), the tech clearly has potential, but that doesn’t mean I have to take a naive view of the actions of corrupt American oligarch groups (MS is a massive monopoly that has extracted untold billions from consumers with their anti-competitive behaviour).

I agree with the high level socio-political commentary around sectoral bargaining and the discussion around the technical and social limitations of copyright law.

I still disagree with the notion that developing AIBlog 2000 SEO-optimized slop generator falls under fair use (in terms of principles, not necessarily legal doctrine).

Academics programmatically going through the blog contents to analyze something about how perceptions of the niche topics changed. That sounds reasonable.

Someone creating a commercial review aggregation service that scraped the blog to find reviews and even includes review snippets (with links to the source) and metadata. Sure.

Spambot 3000, where the only goal is to leverage your work to shit out tech-enabled copies for monetization does not seem like fair use or even beneficial for broader society.

Perhaps the first two examples are not possible without the third one and we have to tolerate Spambot 3000 on that basis, but that’s not the argument that was provided in this thread.

Not a legal expert, but this use case doesn’t seem very fair. Copying the content for a journalism class or for critique makes logical sense. You don’t need know anything about the details of a given legal doctrine to understand this.

This is just a tech-enabled copying device.

I strongly disagree with your analogy. Anyone can set up a blog covering the exact same niche topic; you would not have to give any kickback to anyone or ask for permission.

Am I missing something here?

Let’s say someone spends a decade plus on a small niche blog. The blog has decent readership and even modicum of commercial engagement in its niche.

Should I be allowed to openly use all the data on the blog to develop an AI powered AIBlog 2000 service that enables people to quickly and easily make SEO-optimized spam blogs (it wouldn’t be marketed that way, but that’s what it is) on a variety of topics; including the topic of the niche blog mentioned above?

Am I not giving the EFF enough benefit of the doubt? Is this more of a unique scenario that ignores the benefits of EFF’s approach?

What am I missing here?

Can’t speak for the relative merits of the bill. To be honest it doesn’t really matter, since it’s a bad idea to use any American services, be it from big tech or from startups.

However, I do have issues with the characterization of small startups leveraging “AI” in the article. Vast majority of startups add “AI powered” both as consumer marketing and a fundraising method. Even if they do actually use ML powered features, it is likely these features would simply be part of their package and marketed something along the lines of “automated recommendation for configuring [X]”. Many such features cannot even leverage public works since startups tend to focus on more niche use use cases of ML tech since it’s difficult to competing around something like LLMs.

Something about their framing of startups just sounds off.

Good luck!

Looking forward to the webUI supporting defined thumbnails per post.

Seems like relatively minor changes. At any rate, this will only impact Pixel devices, I am sure OneUI and other skins will have their own evolutions and adaptions.

If you want to be technical, US is a proto-fascist state (i.e. there is still a lot of room for things to get worse).

The 14 Characteristics of Fascism

China’s biggest home appliances company, Midea, has launched a series of DeepSeek-enhanced air conditioners. The product is an “understanding friend” who can “catch your thoughts accurately,” according to the company’s product launch video.

This doesn’t really sound like a revolutionary use case.

Chinese media have hailed DeepSeek for saving the day in the city of Wuhan. When the police received a report that five stray horses had been wandering around at night, they asked the chatbot for information on nearby horse farms. Officials were able to locate the owner by visiting the farms DeepSeek suggested.

Maybe an LLM query ran faster than doing a search in a map tool, but by how much?

Recently, she’s been tackling a new challenge at Sunshine, her AI-driven startup focused on making everyday tasks more seamless, starting with managing users’ phone contacts and reminding them about birthdays. The company’s latest AI-powered photo sharing app reflects Mayer’s broader vision for how technology can enhance personal connections and interactions.

What a bunch of PR word salad.

I skimmed through most of the article, it reads like an oligarch propaganda piece. But in the BBC’s defense they did ask some relevant questions.

In particular, Mayer’s framing of “pessimists” and “optimists” is almost beautiful in an abstract kind of way.

It is not a matter of being pessimistic or optimistic about ML powered services, it’s a matter of not trusting a bunch of vapid, corrupt, dishonest ghouls like Mayer and her ilk.

Only a complete fool would believe the word salad about wanting to make the world a better place and leveraging technology to help develop human connections. It reads like a parody or satire.

Is CORBA even used these days? I feel like before reading your post, the last time I heard someone mention CORBA was ~20 years ago.

Who is going to ask you?

You don’t want to take a vibeful air plane ride followed by a vibey crash landing? You’re such a square and so behind the times.

It’s actually a lie on the part of Nvidia. One of those corporate “it’s not technically a lie”, but there is still a clear premeditated intention to deceive stemming from malicious intent.

https://lemmy.world/post/26776509