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#generativeAI

40 posts32 participants1 post today

"We're excited to share audio and video of our panel at SXSW, where Jason, Sam, and our friend Brian Merchant of Blood in the Machine discuss how AI slop has taken over the internet, how it is a brute-force attack against the algorithms that control what we see on social media, and what we can do to fight back against it.

Here's the panel:"

404media.co/ai-slop-is-breakin

404 Media · AI Slop Is Breaking the Internet as We Know It (404 Media Live at SXSW)Here's our live panel and podcast from SXSW!

"From unstoppable slop, to “enshittification”, to a digital world peopled by automatons, all of these ideas have a useful explanatory power. None, on its own, sufficiently captures the problem. The internet suffers from a cluster of disorders, some with overlapping symptoms and causes. I’m interested in uniting them all under a bigger tent, one that accounts for their similarities and for the role of human decision-making in bringing us to our current predicament.

Borrowing from the world of public architecture, I think of it as the “hostile internet”. Through deliberate choices, and some unintended consequences, the architects of the current consumer internet have created a thoroughly commercialised, surveilled and authoritarian space where basic functions are seconded to the extractive appetites of the monopolies overseeing the system. And it’s making us miserable.
(...)
Like the Moynihan Train Hall, today’s internet isn’t really designed for us, but rather to elicit certain responses from us, responses which, to put it loftily, are hostile to human flourishing. The tech companies’ growth-at-all-costs mentality has scaled their products’ flaws and vulnerabilities — and their second-order social effects — in proportion with their billion-person user bases. The hostile internet is a witch’s brew of explanations for how one of humanity’s most important inventions has produced so much simultaneous prosperity, inequality, disruption and social upheaval.

The result is that today’s internet seems to, if not make us actually crazy, make many of us seem crazy. Always connected, always posting and consuming, we resemble madmen now, giving voice to thoughts that are normally the province of the eccentric ranting on a street corner."

ft.com/content/5d06bbb4-0034-4

🧠 Iniziano ad essere rilasciati dei fork interessanti di Codex CLI di #OpenAI.
⚙️ Open Codex, ad esempio, permette di usare lo stesso agente, ma con #LLM diversi, anche modelli locali. 
👉 Il supporto è stato esteso a #Gemini, Open Router e #Ollama

🔗 Il progetto: github.com/ymichael/open-codex

___ 

✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar 

"To be clear, I am not really interested in criticizing any one individual here. In the absence of stronger rules on Instagram, this just comes down to a question of ethics. I am free to believe that what FutureRiderUS is doing is not ethical; they are free to disagree, or at least pretend to.

But neither of our opinions matter, because of two facts: fake AI slop is profitable, and there are countless users doing the same thing. There’s absolutely nothing to stop them.

That is: the Instagram platform doesn’t just enable this behavior, it rewards it. So do other platforms. On Instagram and TikTok, FutureRiderUS’s top hits are from fake LA fires; on YouTube, it’s three-hour long Christmas music compilations with slop visuals of families shopping. None are clearly labeled. Disaster porn is just another kind of #content.

It doesn’t really matter what that content is: as long as it is ‘content that grabs attention,’ both sides can make money.

For the slop creator and the platform, this is a clear win-win, at least in the short term. The only loser here is the audience, who is unable to recognize slop when they see it.

There’s this thing that AI proponents like to say every time something new comes out: this is the worst it'll ever be. So far, they've been right, and they may well continue to be right. It’s hard to predict what happens next with AI, but I have one prediction I feel fairly comfortable making: unaided, most of us will always struggle to reliably recognize AI when we see it.

But it’s hard to blame us when two sides are conspiring against us: Instagram’s interface makes it almost impossible to tell, and creators are incentivized to lie by omission."

404media.co/inside-the-economy

404 Media · Inside the Economy of AI Spammers Getting Rich By Exploiting Disasters and MiseryHow AI spammers monetized the LA fires and other natural disasters.

"It’s not that hard to build a fully functioning, code-editing agent.

It seems like it would be. When you look at an agent editing files, running commands, wriggling itself out of errors, retrying different strategies - it seems like there has to be a secret behind it.

There isn’t. It’s an LLM, a loop, and enough tokens. It’s what we’ve been saying on the podcast from the start. The rest, the stuff that makes Amp so addictive and impressive? Elbow grease.

But building a small and yet highly impressive agent doesn’t even require that. You can do it in less than 400 lines of code, most of which is boilerplate.

I’m going to show you how, right now. We’re going to write some code together and go from zero lines of code to “oh wow, this is… a game changer.”

I urge you to follow along. No, really. You might think you can just read this and that you don’t have to type out the code, but it’s less than 400 lines of code. I need you to feel how little code it is and I want you to see this with your own eyes in your own terminal in your own folders.

Here’s what we need:

- Go
- Anthropic API key that you set as an environment variable, ANTHROPIC_API_KEY"

ampcode.com/how-to-build-an-ag

ampcode.comHow To Build An Agent | AmpBuilding a fully functional, code-editing agent in less than 400 lines.

"[T]hose claiming we're mere months away from AI agents replacing most programmers should adjust their expectations because models aren't good enough at the debugging part, and debugging occupies most of a developer's time. That's the suggestion of Microsoft Research, which built a new tool called debug-gym to test and improve how AI models can debug software.

Debug-gym (available on GitHub and detailed in a blog post) is an environment that allows AI models to try and debug any existing code repository with access to debugging tools that aren't historically part of the process for these models. Microsoft found that without this approach, models are quite notably bad at debugging tasks. With the approach, they're better but still a far cry from what an experienced human developer can do.
(...)
This approach is much more successful than relying on the models as they're usually used, but when your best case is a 48.4 percent success rate, you're not ready for primetime. The limitations are likely because the models don't fully understand how to best use the tools, and because their current training data is not tailored to this use case."

arstechnica.com/ai/2025/04/res

Real Java Script code developing screen. Programing workflow abstract algorithm concept. Closeup of Java Script and HTML code.
Ars Technica · Researchers find AI is pretty bad at debugging—but they’re working on itBy Samuel Axon

With so much focus being showered on celebrity #DeepFakes, it seems like the broader impacts of #GenerativeAI on #porn aren't really being discussed.

Obviously, as AI porn becomes common, it will put sex workers out of work just like other artists (or force them from the relative safety of selling photos).

However, by ingesting all the content they have produced for training, AI companies will profit from every sex act that was performed, essentially turning them into time-shifted pimps.

Replied in thread

@josemurilo "Sounds" nice. But it's such an enormous waste on #resources: #water, #energy, and money!
We do know how #empathy is build and how anti-aggression trainings work. We do know how people can train more awareness. We know it for many many years.
At the same time, the money for NGOs and groups working in this sector with success, is radically cut in so many countries.
Cheap alternative: Training communication on Mastodon.😎

"Until now, Meta's AI technology has not been trained with the Facebook and Instagram data of European users. This is now set to change: From the end of May 2025, Meta wants to use the data of all adult European Facebook and Instagram users for training of its own AI applications. The data will then be used to train the company's AI-based services such as the Meta-AI chatbot on WhatsApp or language models such as Llama.

Start of training planned for 2024 postponed for the time being
Meta had already announced last year that it would use all public posts and photos from its European Facebook and Instagram users for AI training. However, Meta then postponed the project after the Irish Data Protection Authority (IDPC), which is the lead supervisory authority for Meta in the EU, approached the company with data protection issues, particularly regarding the legal basis and transparency. The procedure that is now in place makes it easier to object to Meta's use of personal data for AI training."

datenschutz-hamburg.de/news/me

HmbBfDIMeta starts AI training with personal data - those who want to object must act quickly (english version)Meta AI will be trained from May with posts, photos and comments from Facebook and Instagram users
#EU#AI#GenerativeAI

"One hint that we might just be stuck in a hype cycle is the proliferation of what you might call “second-order slop” or “slopaganda”: a tidal wave of newsletters and X threads expressing awe at every press release and product announcement to hoover up some of that sweet, sweet advertising cash.

That AI companies are actively patronising and fanning a cottage economy of self-described educators and influencers to bring in new customers suggests the emperor has no clothes (and six fingers).

There are an awful lot of AI newsletters out there, but the two which kept appearing in my X ads were Superhuman AI run by Zain Kahn, and Rowan Cheung’s The Rundown. Both claim to have more than a million subscribers — an impressive figure, given the FT as of February had 1.6mn subscribers across its newsletters.

If you actually read the AI newsletters, it becomes harder to see why anyone’s staying signed up. They offer a simulacrum of tech reporting, with deeper insights or scepticism stripped out and replaced with techno-euphoria. Often they resemble the kind of press release summaries ChatGPT could have written."

ft.com/content/24218775-57b1-4

Financial Times · AI hype is drowning in slopagandaBy Siddharth Venkataramakrishnan
"AI" is Google's "pivot to video" moment:

Google AI Search Shift Leaves Website Makers Feeling ‘Betrayed’
The now-ubiquitous AI-generated answers — and the way Google has changed its search algorithm to support them — have caused traffic to independent websites to plummet, according to Bloomberg interviews with 25 publishers and people who work with them.
From https://www.bloomberg.com/news/articles/2025-04-07/google-ai-search-shift-leaves-website-makers-feeling-betrayed

Remember when Facebook told everyone they should change all their content to video, because it got more traffic? And then that turned out to be such a blatant falsehood that companies went bankrupt trying to do this?

#AI #GenAI #GenerativeAI #LLM #Google #Gemini #AISlop
Software "agents" were a hype-y topic when I was a graduate student 25 years ago. I wrote one for a class. I feel like what's being called "agents" or "AI agents" these days are even less capable than what seemed possible a quarter of a century (1) ago when I was in school.

What I thought then is still true today: to make something like a software agent legitimately useful for a lot of people would require a large amount of low-level grunt work and non-technical work (2) of the sort that the typical Silicon Valley company is unwilling to do. (3) The technology is the absolute easiest part of this task. Throwing a Bigger Computer at the problem leaves all those other pieces of work undone. It's like putting a bigger engine in a car with no wheels, hoping that'll make the car go.

By the way #AI companies and VCs, I'm available for contract work and have done due diligence research before if you ever want to stop wasting everyone's time and money!

#AI #GenAI #GenerativeAI #LLM #agents #hype #SiliconValley #VentureCapital #dev #tech

(1) Which we've been told repeatedly is essentially infinite time in the tech world.
(2) Establishing semantic data standards and convincing a large enough number of people to implement them being an important component. LLMs do not magically develop protocols and solve all the ETL-style problems of translating among different ones. The Semantic Web didn't really stick for a lot of reasons, but one reason is that it's hard!
(3) Back when I was still in the startup world I was asked several times by VCs to tell them what I thought about some new startup that claimed to be able to magically clean and fuse data. I think they're still very keen on investing in this style of magic, because it requires an intense amount of human labor, but I think where companies landed was invisibilizing low-paid workers in other countries and pretending a computer did the work they did. Which has also been happening for well over a quarter of a century.

Kein Apple Intelligence für WhatsApp & Co: Spekulationen über Meta-Blockade

Meta pusht die eigene KI in WhatsApp, Apple Intelligence muss draußen bleiben – auch in Facebook, Instagram und Threads. Doch ist das wirklich ein Boykott?

heise.de/news/Kein-Apple-Intel

heise online · Kein Apple Intelligence für WhatsApp & Co: Spekulationen über Meta-BlockadeBy Leo Becker