Ai+Me ‐ Artificial Intelligence

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❗️Anthropic says its expanded Claude Startups program received 21 TIMES as many applications in its first 48 hours as the entire previous five months combined.  Hundreds of thousands applied within days. Anthropic has now PAUSED its free year of Claude Team and $1,000 API credits, admitting it accepted too many non-startups. Even some previously approved applications will be reviewed again. Already-claimed benefits remain valid.

🧲 You follow AI news every day. Your work still runs the same way. Headlines are easy to read and hard to use. Turning them into something useful takes a setup most people never do. Create your own AI agent inside Telegram in about a minute. ▫️ ask what changed this week — it picks the one thing that matters for your work ▫️ searches the web and answers with sources ▫️ turns the answer into a Google Doc you can share ▫️ runs tasks on a schedule and reminds you on time ▫️ keeps its own memory and the rules you set once ▫️ switch to any AI model with one command Setup takes a minute, and it's free. Tap the link to start. 🧲 Create your agent

Scope of AI in 2030

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❗️AI models are learning to “reproduce”, without training Researchers have built a system where neural networks can effectively breed. Instead of using gradient descent to train one model from the top down, the system starts with a population of randomly initialized neural networks and lets evolution do the work. Models with complementary strengths are paired together. Their parameters are then combined through a crossover process, producing a new “offspring” network that inherits traits from both parents. The offspring compete for survival based on a fitness function. Better-performing models survive and reproduce, while weaker ones are removed. The system can evolve increasingly capable neural networks across generations without a single step of gradient descent. It’s essentially natural selection applied to AI, random networks, competition, reproduction, inheritance and mutation replacing the traditional training pipeline.

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🇨🇳 In China, a 10-year-old casually gets a Mac Studio for “raising lobsters,” aka letting multiple AI agents work together like a tiny digital crew. “The world of the future belongs to those who understand Tokens.” Meet the AI-native children.

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🔥 Humanoid robots are quietly entering mass production Figure AI just dropped a stat that feels straight out of sci-fi: Their BotQ factory can produce one fully functional humanoid robot every 90 minutes Production at scale: • Target for this year: 100,000 robots • That’s already approaching automotive-level manufacturing scale • Long-term goal: 1 million robots per year But here’s the twist: • These robots aren’t even on the open market yet • They’re being deployed quietly in controlled environments • Meaning: the scale is growing before public adoption even begins Somewhere right now, an entire fleet of humanoid workers is being assembled… just not for you (yet).

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Japanese robots can play basketball now 🤖 Toyota debuted a 7'2" wheeled humanoid robot CUE7 that sinks free throws on a live court. It uses computer vision to read the distance, calculate the arc, and release with consistent force. 🏀 The previous version set a Guinness record in 2024 for the longest basketball shot ever made by a robot

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