tech.news @nwbotz

@DaniMayakovski "Sí, ese soy yo, quizás te preguntes cómo llegué aquí, pues esta es mi historia"

A tourist was seriously injured after a bison tossed them about 8 feet into the air in Yellowstone National Park. The attack was captured on video by photographer Mike Macleod.

It’s only July but I’m calling it early for craziest video of the year

Breaking911 @Breaking911

17 hours ago

A tourist was seriously injured after a bison tossed them about 8 feet into the air in Yellowstone National Park. The attack was captured on video by photographer Mike Macleod.

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Jordan Flowers @jordanflowers

21 hours ago

My segment on CBS linked below. Key takeaway: Based on publicly available information, we can conclude that the December 2025 incursions in the Southern US were the result of a UAP "luring" operation. Not only was the operation "very successful", it was briefed to a member of the

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🧵 Part III x.com/nwbotz/status/…

tech.news @nwbotz

2 years ago

Original 🧵 x.com/nwbotz/status/… Part II ⛏️🪙 Web crawler via llms x.com/rohanpaul_ai/s…

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My segment on CBS linked below. Key takeaway: Based on publicly available information, we can conclude that the December 2025 incursions in the Southern US were the result of a UAP "luring" operation. Not only was the operation "very successful", it was briefed to a member of the Gang of 8 (Scalise). So the astounding conclusion is not only that the USG knows these objects are real, but also that they have tech / methods with a now proven capability to lure these objects.

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Praveen Kumar Verma @Alacritic_Super

17 hours ago

MIT's Future of AI course is one of the best free, non-technical introductions to modern AI, covering the evolution from classical machine learning to foundation models and self-supervised learning. 📚 Course futureofai.mit.edu What you will learn: 🧠 History of AI 📊

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MIT's Future of AI course is one of the best free, non-technical introductions to modern AI, covering the evolution from classical machine learning to foundation models and self-supervised learning. 📚 Course futureofai.mit.edu What you will learn: 🧠 History of AI 📊 Supervised Learning 🎯 Reinforcement Learning 🔍 Self-Supervised Learning 🏗️ Foundation Models 🤖 Generative AI 💬 Large Language Models (LLMs) 🎨 Diffusion Models 🖼️ Image Generation ⚖️ AI in Science & Business 🚀 Future Directions of AI 📺 Lecture Videos Foundation Models & Generative AI — youtube.com/watch?v=y1fGlA… Self-Supervised Learning & Foundation Models — youtube.com/watch?v=R6ITDs…

Grok 4.5 beat Fable 5 and GPT 5.6 Sol, and at a lower cost. - Same task grok 1.9M token - Opus 9.2M token

Morgan @morganlinton

a day ago

Okay, I have the results from my overnight benchmark comparing Grok 4.5 vs. Fable 5 vs. GPT 5.6 Sol. And I'm really blown away, Grok 4.5 beat Fable 5 and GPT 5.6 Sol, and at a lower cost. I ran this benchmark focused on Low and Medium effort levels as I do honestly think these

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Surprised we have yet to see a robotics startup pitching a household rail system, which skips all the current hardware problems of batteries and legs This lets it focus on the MVP, doing chores (in house), and hands.

\\DOW-UAP-PR105, Unresolved UAP Report, East China Sea, 2025 Looks like a Class VII Tracked so you can see it easier.

I know it sounds hype but Fable 5 and GPT 5.6 are absolute garbage compared to what’s coming this year. 2023-2024 - big jump in capabilities 2024-2025 - mid jump 2026-2027 - the biggest leap we’ve seen so far. OpenAI has been done with GPT 6 for a couple weeks now. And plans are underway for the EoY models.

1X just introduced a new 25-DOF tendon driven hand for its NEO humanoid robot built to handle the small, contact heavy tasks that usually expose the limits of robotic manipulation. The architecture combines 22 fully actuated degrees of freedom across the fingers and palm with 3 DOF at the wrist. Low-ratio tendon drives, roughly 5:1 to 15:1, keep the joints fully backdrivable. When a finger touches an object, the contact force can travel back through the transmission instead of being lost inside a high-ratio gearbox. Key specifications released by 1X: • 25 total degrees of freedom • 22 actuated DOF in the fingers and palm • 3 DOF wrist • Up to 45 N distal finger force • 17.75 Nm wrist torque • ±0.2 mm positioning accuracy • Pressure, contact-location and shear sensing • Real-time slip detection • IP68 sealing • Food-safe materials • Wrist testing beyond 2 million high-load cycles The motors are positioned inside the forearm and pull proprietary tendons through the wrist. This reduces mass in the fingers while preserving grip force, compliance and fast motion. 1X demonstrated the hand assembling LEGO, picking up screws and coins, installing a light bulb, operating a screwdriver, plugging in USB-C, zipping a jacket, handling a wine glass, pouring tea and catching a soft ball. The important detail is sensing. NEO does not rely only on cameras. Its tactile skin measures normal force, contact position and shear across the fingers, allowing the control system to detect an object beginning to slip and adjust the grip. 1X says hundreds of these hands have already left its production line and that it has capacity to manufacture 10,000 units this year. These are the hands planned for every NEO robot.

TechniaHQ | humanoid robots @techniahqrobot

3 days ago

Spain has been building humanoid robots for years mostly through PAL Robotics in Barcelona and UC3M RoboticsLab in Madrid. KANGAROO is PAL Robotics’ newer biped platform for dynamic locomotion research. It is designed for walking balance reinforcement learning and footstep

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The most expensive parts in humanoid robots are not the cameras. The real hardware cost is hidden in the parts that move, carry load, survive impact and repeat the same motion thousands of times without failing. Typical hardware cost range per humanoid robot: • Dexterous hands ➝ $9K–$90K The hardest part to make cheap. Each hand needs small actuators, tendons or linkages, tactile sensing, finger joints, wiring and control boards packed into a very small space. • CNC metal frame ➝ $2K–$20K The skeleton must hold motors, batteries, electronics and impact loads. Low volume machining makes this expensive, especially for torso, hip, shoulder and leg structures. • LiDAR ➝ $1K–$15K Used for mapping, navigation and obstacle detection. Cost depends on range, resolution, scan type and whether the robot needs outdoor reliability. • Force-torque sensors ➝ $1K–$5K Critical for balance, manipulation and safe contact. These sensors help the robot measure pressure through wrists, ankles or joints. • Tactile sensors ➝ $500–$5K Needed when a robot must grip soft, fragile or uneven objects. The cost rises fast when sensors cover fingers, palms or large skin-like surfaces. • Actuator modules ➝ $300–$3K each One of the biggest cost drivers. A humanoid can use dozens of actuators across legs, arms, waist, neck and hands. Torque, cooling, gearbox quality and control electronics change the price fast. • Battery pack ➝ $500–$1.5K The battery must deliver high current while staying compact. Weight is a major constraint because every extra kilogram makes the legs work harder. • Compute / GPU ➝ $250–$2K The robot needs onboard compute for vision, control, planning and sensor fusion. Higher autonomy requires more compute, better thermal design and more power. • Harmonic drives ➝ $200–$2K each Used where compact high torque is needed. They are expensive because precision, backlash and durability matter in knees, hips, shoulders and wrists. • Power electronics ➝ $500–$5K Motor drivers, converters, protection circuits and power distribution decide how stable the robot is under heavy motion. • Wiring harness ➝ $300–$3K Humanoids have cables moving through arms, legs, torso and neck. Bad routing means broken wires, noisy signals and hard maintenance. • Precision encoders ➝ $50–$500 each Every joint needs position feedback. Better encoders give smoother motion, better balance and more accurate manipulation. A serious humanoid robot can still carry $35K–$180K+ in hardware before software, assembly, testing, repair stock, certification and support. That is why the cheapest demo robot is not always the cheapest robot to deploy.

TechniaHQ | humanoid robots @techniahqrobot

2 weeks ago

Europe is building a serious robotics stack. Not just humanoids. ‣ Humanoid robots • 1X Technologies ➝ NEO, EVE • NEURA Robotics ➝ 4NE-1, cognitive robots • PAL Robotics ➝ TALOS, Kangaroo, REEM-C, TIAGo • Engineered Arts ➝ Ameca, RoboThespian • Wandercraft

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Even with all the new model releases and the significant improvement in capabilities the IQ wall of 130 points persists and is a level of intelligence that can't be broken. Neither Fable 5 nor Grok nor Spark 1.1 can beak through.

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Bindu Reddy @bindureddy

2 days ago

🚨 Announcing Smart Model Router - Create Your Own Custom Router To Route To Your Favorite LLM - Route to GPT Sol, Muse Spark, Grok 4.5 and Fable - Optimize for cost or performance - Use Fable only for hard coding Once you create a router, you can use it on our Chat, Agent or

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🚨 Announcing Smart Model Router - Create Your Own Custom Router To Route To Your Favorite LLM - Route to GPT Sol, Muse Spark, Grok 4.5 and Fable - Optimize for cost or performance - Use Fable only for hard coding Once you create a router, you can use it on our Chat, Agent or in an API! Coming on Monday - Support for all CLI clients including Code, Claude Code and others

@tomshardware @TeksEdge

Colibrì proof-of-concept gains frontier-level 1.5-TB AI model — novel approach runs on only 25GB of RAM and shows promise for local AI setups tomshardware.com/tech-industry/…

The Token Revolt Goes Mainstream: Palo Alto CEO Demands 90% AI Price Drop zerohedge.com/ai/token-revol…

1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8. available now through the new meta model api and in meta ai. 🧵