pera

There's simply too much money involved, investors and corporations will do literally everything they can to keep this going...

What do you mean? WordPress already supports ActivityPub through their plugin:

https://wordpress.org/plugins/activitypub/

I follow a few blogs on Mastodon just fine (for example John Carlos Baez's Azimuth, https://johncarlosbaez.wordpress.com/), it's just like an RSS reader in your timeline.

This is Altman before the release:

OpenAI's CEO says he's scared of GPT-5

https://www.techradar.com/ai-platforms-assistants/chatgpt/op...

Sam Altman Compares OpenAI To The Manhattan Project—And He's Not Joking About the Risks

https://finance.yahoo.com/news/sam-altman-compares-openai-ma...

This is Altman after the release:

Sam Altman says ‘yes,’ AI is in a bubble

https://www.theverge.com/ai-artificial-intelligence/759965/s...

I just don't get why did Altman had to hype this release so much, what was the plan?

Also, what was the deal with all those mysterious Star Wars pictures?

I still remember this one from 2016 very well:

A Driverless Tesla Will Travel From L.A. to NYC by 2017, Says Musk

https://www.nbcnews.com/business/autos/driverless-tesla-will...

Since this is in relation to "Category 1 services" of the OSA:

> Category 1: should apply to services which meet either of the following conditions:

> Condition 1 – uses a content recommender system; and has more than 34 million UK users on the user-to-user part of its service, representing around 50% of the UK population;

> Condition 2 – allows users to forward or reshare user-generated content; and uses a content recommender system; and has more than 7 million UK users on the user-to-user part of its service, representing c.10% of the UK population.

https://www.ofcom.org.uk/online-safety/illegal-and-harmful-c...

The problem is that the majority of user interaction doesn't need to be "useful" (as in increasing productivity): the majority of users are looking for entertainment, so turning up the sycophancy knob makes sense from a commercial point of view.

It's just like adding sugar in foods and drinks.

I am not sure which heartless comments you are referring to but what I do see is genuine concern for the mental health of individuals who seem to be overly attached, on a deep emotional level, to an LLM: That does not look good at all.

Just a few days ago another person on that subreddit was explaining how they used ChatGPT to talk to a simulated version of their dad, who recently passed away. At the same time there are reports that may indicate LLMs triggering actual psychosis to some users (https://kclpure.kcl.ac.uk/portal/en/publications/delusions-b...).

Given the loneliness epidemic there are obvious commercial reasons to make LLMs feel like your best pal, which may result in these vulnerable individuals getting more isolated and very addicted to a tech product.

Like many other generative AI companies, Perplexity exploits the good faith of the old Internet by extracting the content created almost entirely by normal folks (i.e. those who depend on a wage for subsistence) and reproducing it for a profit while removing the creators from the loop - even when normal folks are explicitly asking them to not do this.

If you don't understand why this is at least slightly controversial I imagine you are not a normal folk.

Yeah by 2001 Amazon was already cash flow positive.

I think you may be missing the point: The title says "AI training data set", which is the result of downloading the linked images. The list of tuples is just how this training dataset is distributed.

The issue in question is that many/most large generative AI models were trained with personal data.

> This is all public data

It's important to know that generally this distinction is not relevant when it comes to data subject rights like GDPR's right to erasure: If your company is processing any kind of personal data, including publicly available data, it must comply with data protection regulations.

While my question was in relation to GDPR there are similar laws in the UK (DPA) and in California (CCPA).

Also note that AI is not just generative models, and generative models don't need to be trained with personal data.

I am not sure if Mistral is: if you go to their GDPR page (https://help.mistral.ai/en/articles/347639-how-can-i-exercis...) and then to the erasure request section they just link to a "How can I delete my account?" page.

Unfortunately they don't provide information regarding their training sets (https://help.mistral.ai/en/articles/347390-does-mistral-ai-c...) but I think it's safe to assume it includes DataComp CommonPool.

There is currently no effective method for unlearning information - specially not when you don't have access to the original training datasets (as is the case with open weight models), see:

Rethinking Machine Unlearning for Large Language Models

https://arxiv.org/html/2402.08787v6

Yesterday I asked if there is any LLM provider that is GDPR compliant: at the moment I believe the answer is no.

https://news.ycombinator.com/item?id=44716006

The latter. They currently provide a method for requests related to account information but not for the information contained in their models or training datasets.

LinkedIn, 24/7 of pure AI chat

> People like the output of LLMs so much that ChatGPT is the fastest growing app ever

While people seem to love the output of their own queries they seem to hate the output of other people's queries, so maybe what people actually love is to interact with chatbots.

If people loved LLM outputs in general then Google, OpenAI and Anthropic would be in the business of producing and selling content.

> Ordinary language is totally unsuited for expressing what physics really asserts, since the words of everyday life are not sufficiently abstract. Only mathematics and mathematical logic can say as little as the physicist means to say.

- Bertrand Russell, The Scientific Outlook (1931)

There is a reason we don't use natural language for mathematics anymore: It's overly verbose and extremely imprecise.

It really is, for example here is a quote from AI 2027:

> By early 2030, the robot economy has filled up the old SEZs, the new SEZs, and large parts of the ocean. The only place left to go is the human-controlled areas. [...]

> The new decade dawns with Consensus-1’s robot servitors spreading throughout the solar system. By 2035, trillions of tons of planetary material have been launched into space and turned into rings of satellites orbiting the sun. The surface of the Earth has been reshaped into Agent-4’s version of utopia: datacenters, laboratories, particle colliders, and many other wondrous constructions doing enormously successful and impressive research.

This scenario prediction, which is co-authored by a former OpenAI researcher (now at Future of Humanity Institute), received almost 1 thousand upvotes here on HN and the attention of the NYT and other large media outlets.

If you read that and still don't believe the AI hype is _extreme_ then I really don't know what else to tell you.

--

https://news.ycombinator.com/item?id=43571851

Wow these are extremely interesting results, specially this part:

> This gap between perception and reality is striking: developers expected AI to speed them up by 24%, and even after experiencing the slowdown, they still believed AI had sped them up by 20%.

I wonder what could explain such large difference between estimation/experience vs reality, any ideas?

Maybe our brains are measuring mental effort and distorting our experience of time?

At work we started calling this trend clippification for obvious reasons. In a way this aligns with your comment: The information provided by Clippy was not necessarily useless, nevertheless people disliked it because (i) they didn't ask for help (ii) and even if by any chance they were looking for help, the interaction/navigation was far from ideal.

Having all these popups announcing new integrations with AI chatbots showing up while you are just trying to do your work is pretty annoying. It feels like this time we are fighting an army of Clippies.

Religions and cults are actually extremely lucrative.

For many investors the product is the hype.

> Anthropic cut up millions of used books to train Claude — and downloaded over 7 million pirated ones too, a judge said

https://www.businessinsider.com/anthropic-cut-pirated-millio...

It doesn't look like they care at all about the law though

I guess I misunderstood what you meant here:

> you should have tried to have this conversation with us years ago instead of just calling us racist.

I have to admit I am quite intrigued by your ideology and feelings: it seems that you are acknowledging to hold racist beliefs but at the same time it bothers you to be called racist? May I ask why?

How dare you

Exactly! What skeptics don't get is that AGI is already here and we are now starting a new age of infinite prosperity, it's just that exponential growth looks flat at first, obviously...

Quantum computers and fusion energy are basically solved problems now. Accelerate!