Toggle light / dark theme

Today’s high-end processors, especially those powering data centers and AI workloads, already rely on multi-chiplet designs to meet soaring demands for performance and memory bandwidth. TSMC’s current CoWoS solutions can accommodate interposers up to 2,831 mm², more than three times the size of a standard photomask reticle, which is limited to 830 – 858 mm² by EUV lithography constraints.

This week, major AI breakthroughs were announced, including Microsoft’s new Copilot agents, Sand AI’s long video generation, and Baidu’s faster, cheaper ERNIE models. Perplexity launched a voice assistant for iPhone, ByteDance introduced screen-controlling AI, and UC San Diego showed GPT-4.5 passing a real Turing Test. DeepMind warned about AI hallucinations caused by rare words, while YouTube started testing AI-generated video clips in search results.

Join our free AI content course here 👉 https://www.skool.com/ai-content-acce… the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/ 🔍 What’s Inside: •⁠ ⁠Microsoft’s Copilot Wave Two introduces powerful AI agents like Researcher and Analyst •⁠ ⁠Sand AI and Sky Reels revolutionize video generation with long-form and infinite content breakthroughs •⁠ ⁠Baidu’s ERNIE Turbo models offer faster performance at lower costs, challenging OpenAI’s dominance 🎥 What You’ll See: •⁠ ⁠How AI now creates live sports commentary, animates 3D faces, and controls computers from screenshots •⁠ ⁠Why DeepMind warns about hidden risks in AI training and how UC San Diego’s research changes Turing tests •⁠ ⁠How YouTube’s AI-generated video clips and Perplexity’s new iPhone assistant could reshape online content 📊 Why It Matters: This wave of AI advancements shows how fast technology is evolving, with smarter agents, endless video creation, cheaper high-end models, and new challenges in AI reliability, content creation, and human-like behavior. DISCLAIMER: This video covers major AI updates from Microsoft, Sand AI, Baidu, Perplexity, DeepMind, and others, highlighting the rapid shifts in AI capabilities, risks, and opportunities across real-world applications. #ai #microsoft #deepmind.
Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/

🔍 What’s Inside:
• ⁠ ⁠Microsoft’s Copilot Wave Two introduces powerful AI agents like Researcher and Analyst.
• ⁠ ⁠Sand AI and Sky Reels revolutionize video generation with long-form and infinite content breakthroughs.
• ⁠ ⁠Baidu’s ERNIE Turbo models offer faster performance at lower costs, challenging OpenAI’s dominance.

🎥 What You’ll See:
• ⁠ ⁠How AI now creates live sports commentary, animates 3D faces, and controls computers from screenshots.
• ⁠ ⁠Why DeepMind warns about hidden risks in AI training and how UC San Diego’s research changes Turing tests.
• ⁠ ⁠How YouTube’s AI-generated video clips and Perplexity’s new iPhone assistant could reshape online content.

📊 Why It Matters:
This wave of AI advancements shows how fast technology is evolving, with smarter agents, endless video creation, cheaper high-end models, and new challenges in AI reliability, content creation, and human-like behavior.

DISCLAIMER:

What will it take to build a fully automated, autonomous, AI-powered civilization? A big question — true — but arguably a more interesting and inspiring one than talking about the latest chatbot. As I discovered on a recent visit to Seoul, South Korea is already the most automated country on the planet, with 1 out of 10 workers already a robot. Could this city be a preview of how we will live in the near future? Watch this video to learn some key lessons I discovered, that may be valuable as we start to imagine what our world might look like in 2035 and beyond.

A new AI robot called π-0.5 uses 100 decentralized brains, known as π-nodes, to control its body with lightning-fast reflexes and smart, local decision-making. Instead of relying on a central processor or internet connection, each part of the robot—like fingers, joints, and muscles—can sense, think, and act independently in real time. Powered by a powerful vision-language-action model and trained on massive, diverse data, this smart muscle system allows the robot to understand and complete real-world tasks in homes, even ones it has never seen before.

Join our free AI content course here 👉 https://www.skool.com/ai-content-acce… the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/ 🔍 What’s Inside: •⁠ ⁠A groundbreaking AI robot called π‑0.5 powered by 100 decentralized “π-nodes” embedded across its body •⁠ ⁠Each node acts as a mini-brain, sensing, deciding, and adjusting without needing Wi-Fi or a central processor •⁠ ⁠A powerful vision-language-action model lets the robot understand messy homes and complete complex tasks without pre-mapping 🎥 What You’ll See: •⁠ ⁠How π‑0.5 combines local reflexes with high-level planning to react in real time •⁠ ⁠The unique training process using over 400 hours of diverse, real-world data from homes, mobile robots, and human coaching •⁠ ⁠Real-world tests where the robot cleans, organizes, and adapts to brand-new spaces with near-human fluency 📊 Why It Matters: This new system redefines robot intelligence by merging biological-inspired reflexes with advanced AI planning. It’s a major step toward robots that can handle unpredictable environments, learn on the fly, and function naturally in everyday life—without relying on cloud servers or rigid programming. DISCLAIMER: This video explores cutting-edge robotics, decentralized AI design, and real-world generalization, revealing how distributed intelligence could transform how machines move, sense, and think. #robot #robotics #ai.

Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/

🔍 What’s Inside:
• ⁠ ⁠A groundbreaking AI robot called π‑0.5 powered by 100 decentralized “π-nodes” embedded across its body.
• ⁠ ⁠Each node acts as a mini-brain, sensing, deciding, and adjusting without needing Wi-Fi or a central processor.
• ⁠ ⁠A powerful vision-language-action model lets the robot understand messy homes and complete complex tasks without pre-mapping.

🎥 What You’ll See:
• ⁠ ⁠How π‑0.5 combines local reflexes with high-level planning to react in real time.
• ⁠ ⁠The unique training process using over 400 hours of diverse, real-world data from homes, mobile robots, and human coaching.
• ⁠ ⁠Real-world tests where the robot cleans, organizes, and adapts to brand-new spaces with near-human fluency.

📊 Why It Matters: