"I don't think AI can do your job (but I do think an AI salesman can convince your boss to fire you and replace you with an AI that can't do your job). However, there is a class of workers whose jobs can be performed perfectly by AI: workers with bullshit jobs:"
"It's easy to understand why some programmers love their AI assistants and others loathe them: the former group get to decide how and when they use AI tools, while the latter has AI forced upon them by bosses who hope to fire their colleagues and increase their workload. [...] Formally, the first group are "centaurs" (people assisted by machines) and the latter are "reverse-centaurs" (people conscripted into assisting machines):"
"One of the genuinely positive things about tools like Copilot and ChatGPT is that they empower people with minimal development experience to create their own programs. Little programs that do useful things - and that’s awesome. More power to the users.
But that’s not product development, it’s programming. They aren’t the same thing. Not even close."
"When these people talk about the web they’re talking about the web they’re part of: they talk about the web that is powered by advertising and by tracking, the web that needs traffic to sustain itself. The commercial web is what they talk about."
Le PDG du spécialiste du paiement différé estime avoir été trop loin dans sa logique de réduction de coûts. Face au mécontentement de ses clients, la société se remet donc à embaucher.
LLM scrapers are taking down FOSS projects' infrastructure, and it's getting worse.
Signal President Meredith Whittaker warned Friday that agentic AI could come with a risk to user privacy. Speaking onstage at the SXSW conference in
Récemment, une étude du MIT a montré comment certains utilisateurs manipulent les bots afin qu’ils leur livrent des réponses qui leur conviennent. Pour les auteurs de l’étude, ce phénomène risque de créer des « chambres d’écho affectives » potentiellement très addictives.
Thoughts on the search for meaning and reclaiming our attention.
“We no longer live in the attention economy; we live in the addiction economy. The dopamine economy. The economy of instant gratification. Every day, it's a frantic race to capture what has become our most precious resource: our brain's time. We're bombarded with notifications, alerts, and endless content. Everything is designed to hook us, to pull us back again and again, for another hit of pleasure.”
“This is the great carousel of the 21st century. Scroll. Click. Like. Replay. A brief rush of euphoria, quickly replaced by another craving. A cycle of consumption that never truly satisfies. By the end of the day, all that's left is emptiness.”
“We are drowning in an endless stream of information, and paradoxically, it's no longer the abundance that's the issue—it's discernment.”
“And that’s the key difference: AI calculates, humans intuit. Where machines rely on algorithms, we notice the subtleties—the unspoken cues, gut feelings, and instinctive decisions that slip through the cracks of code. It's in these finer details that our true uniqueness lies.”
“We may be at a turning point—a moment where true wealth is no longer measured by how much attention we can capture or how much dopamine we can generate by the minute, but by our ability to appreciate, understand, and create meaning.”
« On its 10th anniversary, Signal’s president wants to remind you that the world’s most secure communications platform is a nonprofit. It’s free. It doesn’t track you or serve you ads. It pays its engineers very well. And it’s a go-to app for hundreds of millions of people. »
As a Signal user, I never learned more deeply about which individuals were leading Signal the past couple of years. This interview with Meredith Whittaker was a great way to learn more about her, her path to join Signal, and what is the future of Signal.
You can read the full article without paywall here
I did not think a video about a paperclip factory video game would go much further than just being a game. It deals with automation, efficiency and the potential consequences of artificial intelligence. Ultimately, it raises questions about the future of intelligence and our relationship with machines.