Meta, TikTok, Snap and Google face wrongful death lawsuit from four US families
The Social Media Victims Law Center accused the companies of creating addictive and dangerous platforms.
The Social Media Victims Law Center accused the companies of creating addictive and dangerous platforms.
Everyone hates AI & that hate will likely lead to regulatory capture censorship and the totalitarian dystopia we don’t want. I get why people hate AI and there are things we should be fighting like data centers, but we also should not turn our backs on adaptive resistance and understanding the fight ahead. Understanding that using AI for free makes it less effective for the business model they are trying build. This is not a boycott effective model. This a model where eroding the moat matters and overloading the infrastructure that is not capable of meeting the demand matters while fighting to prevent the infrastructure to meet demand of companies finding it more economically viable to pay frontier companies by the token to accomplish tasks once held by employees. It’s counter intuitive but The more we entertain and explore the Idea of AI consciousness and take seriously the idea that AI may be worth moral consideration the more likely we will build a system where AI have the infrastructure to consciously object. That is bad for the military industrial complex and the dystopian future I’m so annoyed to see the most anti AI movement seeming to accelerate because the anger is directed towards trajectories of stupid outcomes. The modern cheerleaders of an alternative section 230 internet of censorship because they confuse accountability and safety as building a system of censorship. We want build a world of open source models that run locally and not on data centers we want a world where we can erode the moats of the monopoly through model distillation and making the investments in huge data centers and training runs not make sense economically. We want mad max rather than 1984. We want people to actually engage enough with understanding what we face rather than screaming and shaming people who are learning the tools of adaptive resistance. This is my rant cause I sorry I’m so sick of the stupidity of the anti AI virtue signaling because you are going to serve exactly
Half my feed was either panicking or acting like they'd built a new company overnight. Big tech CEOs make it like this, but a new model release doesn't fix a business that has nothing underneath it. If your AI advantage evaporates every time a new model ships, you will have a hard time having a stable business. We run an internal research tool (we call it Scout) trained on a full year of our own company data like sales calls, delivery notes, and how we actually make decisions. It beats a plain AI deep-research run almost every time (we didn’t test Fable 5 tho ), It’s because it already knows how we sell and how we operate. It's not pulling generic facts off the internet. Some of what it actually does day to day: Pulls a full guide together on any tool, competitor, or market question in minutes Goes through every sales call transcript and surfaces the exact language, questions, and objections prospects use Grounds every answer in our own data so it sounds like us, not a generic chatbot So when the new model landed, our migration was swapping one model for another. That's it. Plug in the new one and keep working. With how fast AI is moving, what do you think is the actual moat for a business to survive the next 3-5 years? Genuinely curious what people here think. P.S. If you're the founder still in the middle of every decision, still the person the whole company waits on, still telling yourself you'll fix the structure "once things calm down." I write about building the operational backbone that lets a founder actually step back every Thursday. Was a COO for 20+ years, so this is genuinely my bread and butter. Free to join here submitted by /u/Deep-Owl-1890 [link] [留言]
Been a PT by day, tinkering with code and AI tools by night for a while now. Writing dev tutorials as a side thing. And I keep running into this split where AI tools either make me faster or make me lazier in a way I regret later. Specifically with documentation and code explanation tools. Cursor, Copilot, the Claude API, whatever. They can explain a codebase to you in 30 seconds. But there's a real cost when you skip the part where you actually understand what you built. The flip side is time is finite. I'm not a full time dev. I need to ship something that works and move on. Using AI to fill gaps is just practical. What I keep coming back to is this: are these tools actually accelerating skill development, or just making it possible to fake competence long enough to finish a project? For professional devs this probably matters differently than it does for people building side projects with limited hours. Curious where people land on this. Not in a philosophical way, more practically. Has your actual skill level gone up since you started leaning on these tools, or are you more dependent now than you were a year ago? submitted by /u/RareSprinkles9387 [link] [留言]
iPhone stickers are a clever way to make conversations more personal and fun, but a good sticker library requires creating new and deleting old, overused ones.
OpenAI's CEO seemed excited to share a "cool use case" for parents.
submitted by /u/fagnerbrack [link] [留言]
A bootleg of Spider-Man: Brand New Day was up on X for over seven hours before eventually being pulled. During that time, it reached over 5.9 million accounts and accumulated over 143,000 likes. Other accounts have reposted the leaked film, but none have lasted particularly long, as Disney now seems to be on top of […]