Does everyone else use screenshots to enter into ChatGPT? I use it all the time. Seems to be the fastest and most efficient way for me.

📝 TL;DR Meta is reportedly planning sweeping layoffs that could hit 20% or more of its workforce as it pours billions into AI infrastructure. This is a blunt reminder that the AI boom is creating new opportunities, but it is also pushing some of the biggest tech companies to cut hard and reorganize fast. 🧠 Overview Meta appears to be preparing one of the largest layoff rounds in its history, with reports suggesting the company could cut more than 15,000 jobs. The move is tied to two forces happening at once, rising costs from massive AI and data center spending, and growing confidence inside the company that AI assisted workers can do more with fewer people. This is not just a Meta story. It is another example of how the AI race is changing the economics of big tech, where companies are spending huge amounts on chips, infrastructure, and talent while trying to slim down everywhere else. 📜 The Announcement Reports say Meta is weighing layoffs that could affect 20% or more of its workforce, though no final number or timeline has been confirmed. The cuts are reportedly being discussed as a way to offset soaring AI infrastructure costs and prepare the company for greater efficiency as AI tools take over more internal work. If the cuts happen at that scale, it would be Meta’s biggest layoff event since the company cut around 22,000 roles between late 2022 and early 2023. Meta has publicly pushed back on the reports, calling them speculative, but the story fits a broader pattern of major restructuring as AI spending ramps up. ⚙️ How It Works • AI spending is eating budgets - Meta is investing heavily in data centers, chips, and AI talent, which puts pressure on other parts of the business to become leaner. • Efficiency becomes the justification - Companies increasingly argue that AI tools let remaining workers handle more output, which makes large teams harder to justify. • Restructuring follows strategy shifts - Meta has been shifting attention away from earlier metaverse heavy priorities and deeper into AI infrastructure and superintelligence efforts.

Curious what people here think In the next 5 years, what AI products do you think will actually exist and become normal? Not just better chatbots I mean real products people use in everyday life or business Could be things like: • AI wearables • home robots • AI phones or glasses • ultra-realistic video tools • personal AI assistants that actually do things • business agents running tasks on their own • AI healthcare devices • physical products we haven’t even thought of properly yet What do you think is most likely to happen first? And what sounds exciting now but probably won’t happen the way people expect?

📝 TL;DR Meta is going even harder on AI infrastructure, signing a huge long term deal with Nebius worth up to $27 billion. This is another clear signal that the AI race is no longer just about models, it is about who can secure power, GPUs, and data center capacity fast enough. 🧠 Overview Meta has signed a major multi year infrastructure agreement with Nebius, one of the rising “neocloud” players selling AI compute at scale. The deal guarantees billions in capacity and gives Meta the option to buy even more over the next five years. The bigger story is what this says about the market. Big tech is no longer waiting for its own data centers alone, it is locking in outside AI capacity anywhere it can find it. 📜 The Announcement Nebius says Meta will buy about $12 billion in AI computing capacity across multiple locations by 2027. On top of that, Meta has the option to purchase another $15 billion in future capacity over the next five years if Nebius does not sell it elsewhere. That pushes the potential value of the arrangement to around $27 billion. It also builds on an earlier infrastructure relationship between the two companies, showing Meta is deepening, not just testing, this route. ⚙️ How It Works • Long term capacity deal - Meta is not just renting servers month to month, it is locking in years of AI compute ahead of time. • Neocloud model - Nebius is part of a new class of infrastructure providers focused on AI first data centers and GPU heavy cloud services. • Scale before scarcity gets worse - The deal helps Meta secure access to scarce GPUs, power, and data center space before those resources get even tighter. • Expansion fuel for Nebius - The contract gives Nebius a massive growth boost and helps fund faster expansion of its own AI cloud business. • Strategic ecosystem effect - Nvidia recently took a stake in Nebius, which means the chip, cloud, and hyperscaler ecosystems are getting even more intertwined.