One of the worst possible examples ever: Klarna is a payment processor, people don’t call their bank to get the same answer the system is already giving them, they call to negotiate something about their money. AIs are at a troubleshooting level, at best some very basic negotiation, nowhere near dealing with people actually concerned about their money… much less in 2023.

Seems like Klarna fell hook, line, and sinker for the hype. Tough luck, need to know the limits.

Randomly obfuscated database: you don’t get exactly the same data, and most of the data is lost, but sometimes can get something similar to the data, if you manage to stumble upon the right prompt.

Yeah, I don’t think I like llamafile, reusing some weights between models, and smaller updates, sounds like a better idea.

What I’d like to see is a unified WebNN support, for CPU, GPU, and NPU: WebNN Overview

(Not to pull rank, but my mail profile can be tracked to Netscape Navigator, across multiple OSs 😁)

It’s going to be funnier: imagine throwing in tons of data at an LLM, most of the data will get abstracted and grouped, most will be extractable indirectly, some will be extractable verbatim… and any piece of it might be a hallucination, no guarantees! 😅.
Courts will have a field day with that.

That’s why AI companies have been giving out generic chatbots for free, but charge for training domain-specific ones. People paying for using the generic ones, is just the tip of the iceberg.

The future is going to be local or on-prem LLMs, fine tuned on domain knowledge, most likely multiple ones per business/user. It is estimated that businesses are holding orders of magnitude more knowledge, than what has been available for AI training. Will also be interesting to see what kind of exfiltration becomes possible, when one of those internal LLMs gets leaked.

Is Disney no longer a “pal”, or did it stop making money?

How Mickey Mouse Evades the Public Domain

All of them. The moment they summarize results, it automatically filters out all the chaff. Doesn’t mean what’s left is necessarily true, just like publishing a paper doesn’t mean it wasn’t p-hacked, but all the boilerplate used for generating content and SEO, is gone.

Starting with Google’s AI Overview, all the way to chatbots in “research” mode, or AI agents, they return the original “bulletpoint” that stuff was generated from.

Can you elaborate? It does match my personal experience, and I’ve been on both ends of the trash flinging.

A lot of people have been working tedious and repetitive “filler” jobs.

• Computers replaced a lot of typists, drafters, copyists, calculators, filers, clerks, etc.
• LLMs are replacing receptionists, secretaries, call center workers, translators, slop “artists”, etc.
• AI Agents are in the process of replacing aides, intermediate administrative personnel, interns, assistants, analysts, spammers salespeople, basic customer support, HR personnel, etc.

In the near future, AI-controlled robots are going to start replacing low skilled labor, then intermediate skilled ones.

“AI” has the meaning of machines replacing what used to require humans to perform. It’s a moving goalpost: once one is achieved, we call it an “algorithm” and move to the next one, and again, and again.

Right now, LLMs are at the core of most AI, but AI has already moved past that, to “AI Agents”, which is a fancy way of saying “a loop of an LLM and some other tools”. There are already talks of moving past that too, the next goalpost.

Whose LLMs?

Content farms and SEO experts have been polluting search results for decades. Search LLMs have leveled the playing field: any trash a content farm LLM can spit out, a search LLM can filter out.

Basically, this:

I was going to say that AI has a lot of implications in the online world that Mozilla was supposed to promote… but maybe you’re right, the AI genie is out of the bottle and there is little left to do about it. Its impact will be whatever it will be, no matter what people want to say about it.

Not sure which “old Mozilla” you want, the 1998 one? the 2005 one? the 2015 one? It has changed a lot indeed, but kind of has been Google’s anti-anti-thrust shield for 20+ years.

From those projects, which ones are out of scope for the Mozilla Manifesto?

The African nuclear reactors might need more explaining, but the rest seem to be right on the goals:

• Anti-censorship groups
• Lobbying EU AI regulations
• Tool to reveal censorship on ISPs
• Coding/operations related carbon footprint and pollution, which can be used to prevent people’s access

Is there more information about that nuclear reactor?

Pollution related to computing and coding, seem relevant to the mission statement.

What would be the proper advocacy groups? Would you’ve ever heard of Mozilla without some advocacy group?

Ollama has the best GDPR compliance: my hardware, my data.

https://www.archives.gov/records-mgmt

Archiving communications is not optional (yet).

I’m still “using” Facebook, if by “using” we mean subscribing to some groups, sending birthday greetings to old friends, and rarely posting anything. It doesn’t feed me political content, any time it tries to push anything controversial, it gets blocked.

I do get political content on Threads though, but that’s my choice.

Keeping in mind it’s an advertorial for their apps…

Not sure what they mean by “weird characters”, but chatbots add zero-width Unicode characters as a watermarking mechanism, and LLMs output their own tags to mark different sections.

(the “stochastic parrots” expression is already a contradiction, but whatever)

Fun fact: you can get a machine to do that, for about the price of 3 games. It will even last longer than the games.

Let me know when stuff is no longer locked behind a “Battle Pass”.

I got pretty much all the cosmetics in OW1 without paying for a single lootbox, and definitely refuse to pay for the privilege of FOMO.