AI Post — Artificial Intelligence

Futurist Ray Kurzweil predicts: by 2030, humans could be closer than ever to immortality, thanks to nanobots. Ray’s been right about ~86% of his past predictions. This could be his boldest yet. @aipost🏴

🤯This isn’t fabric. It’s electronic skin,woven with dense fiber and textile sensors that can detect pressure, touch, deformation, and subtle contact changes in real time. Now imagine humanoid robots covered in it,especially on dexterous hands. Humanoids could truly touch and understand the physical world and even humans. ~ Shanghai JQ INDUSTRIES @aipost🏴

Elon just pledged to donate ALL his OpenAI lawsuit winnings to charity. He’s suing for $134 billion, that’s the entire value of OpenAI’s nonprofit… he wants it back.. @aipost🏴

🗣Sam Altman: "You will graduate to a world with AGI in it" Sam Altman just told a room of college sophomores that by the time they finish school, Artificial General Intelligence will be a reality. @aipost🏴

💰Elon Musk’s xAI is hiring Wall Street bankers and credit lenders to teach Grok the ropes of high-level finance and investment strategy. Aims to turn the chatbot into a serious tool for professional analysts. These experts will help Grok understand tricky concepts like leveraged loans and mortgage-backed securities and the specialized logic used by traders. Source. @aipost🏴

❗️Someone used Suno AI to generate a Japanese metal band called Neon Oni. Fake member bios, AI-generated music videos, "Based in Tokyo" on Spotify. 80,000+ monthly listeners. Fans had it in their Spotify Wrapped top 5. Merch was selling. Then, community sleuths exposed it. Traced the creator's account to Europe. Spotted AI-generated hands in the music videos. The creator's response? Recruit 7 real musicians from actual Tokyo bands to perform the AI-generated songs live. They've now played several live shows and have more on the books. From an interview with the band's creator: "In an age where AI is taking everyone's jobs, this has actually created jobs. It's done the complete opposite." @aipost🏴

🔥 Kimi AI introduces Attention Residuals, a new way to rethink how neural networks use past layers Researchers at Moonshot AI just proposed a new architecture tweak that could make large AI models more efficient and smarter about how they use information…

🔥 Kimi AI introduces Attention Residuals, a new way to rethink how neural networks use past layers Researchers at Moonshot AI just proposed a new architecture tweak that could make large AI models more efficient and smarter about how they use information from earlier layers. Instead of the traditional residual connections used in deep networks, they introduce Attention Residuals, a system where each layer can selectively attend to representations from previous layers. Here’s what’s new: Attention over past layers: • Traditional residuals simply add outputs from earlier layers in a fixed way. • Attention Residuals let the model dynamically choose which earlier layers matter for a given input. Solves depth dilution: • In very deep models, useful information from earlier layers can get diluted. • Attention-based retrieval allows the network to pull specific past representations when needed. Block AttnRes for scale: • Layers are grouped into compressed blocks so cross-layer attention remains computationally practical. Efficient in practice: • Reported 1.25× compute advantage • <2% extra inference latency, meaning almost no slowdown. Tested on the Kimi Linear model: • Evaluated on 48B parameter architecture (3B activated parameters). • Shows consistent downstream performance improvements. Source. @aipost🏴

🔥Don't be surprised if you meet humanoid robots on the streets of Beijing at midnight. They are training for their half-marathon! Over 20 teams joined the first trial run. The official race will be held on April 19. @aipost🏴

🗣Yann LeCun says Elon Musk has predicted Level 5 autonomy within 5 years for the last 8 years, and has been consistently wrong "Either he believed it and was mistaken, or he was lying". It may push the team, but for engineers, hearing 'next year' again and again is demoralizing. @aipost🏴

❗️Andrej Karpathy built a map of every job in America and how likely AI is to replace it The former OpenAI and Tesla AI leader just released an open-source project that scores how exposed every U.S. job is to AI automation. Here’s how it works: The dataset: • Scraped 342 occupations from the U.S. Bureau of Labor Statistics • Each job was evaluated using an LLM scoring rubric from 0–10 • Built an interactive treemap visualization • Rectangle size = number of workers in that job • Color = how vulnerable the role is to AI The key rule behind the scoring If the work product is digital and the job can be done entirely from a home office, the exposure score rises dramatically. Some example scores: • 0–1: Roofers, janitors • 4–5: Nurses, retail workers, physicians • 8–9: Software developers, paralegals, data analysts • 10: Medical transcriptionists Overall result: Average exposure across all occupations: 5.3 / 10 Fully open source, Karpathy also released the entire pipeline: • BLS data scraping • LLM scoring methodology • The visualization system Anyone can reproduce it or update the scores as AI improves. https://github.com/karpathy/jobs @aipost🏴

🔔Pokémon Go players trained 30 billion image AI map Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce @aipost🏴