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Category: robotics/AI – Page 376

Testing FSD 13.2.2 on very snowy roads in Canada!

The Full Self-Driving version 13.2.2 successfully navigates challenging snowy Canadian roads with impressive performance and minimal driver intervention ## Advanced Navigation in Challenging Conditions.

🚗13.2.2 successfully navigated snowy, slippery roads in Canada without interventions, handling obscured lane lines, vehicles, and signs even when the roadway was difficult to discern.

đŸŒšïžThe system demonstrated impressive adaptive driving, moving slowly and smoothly with minimal slipping, and never requesting driver takeover despite challenging road conditions. ## Complex Intersection Management.

🛑13.2.2 effectively managed various challenging intersections, including a five-way intersection at an odd angle and a busy roadway with an obscured angle. ## Safety-First Approach.

⚠The system exhibited a cautious approach, waiting for clear visibility before proceeding when faced with high snowbanks, and then moving slowly without complaint. ## Self-Correction and Adaptation.

🔄13.2.2 showed the ability to self-correct and adapt, as evidenced by correcting an incorrect signal at a corner and recovering from briefly bumping a sidewalk during a turn.

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OpenAI is trying to extend human life, with help from a longevity startup

OpenAI says it trained a new AI model called GPT-4b micro with Retro Biosciences, a longevity science startup trying to extend the human lifespan by 10 years, according to the MIT Technology Review.

Retro, which is backed by Sam Altman, has been working with OpenAI for roughly a year on this research, according to the report. The GPT-4b micro model tries to re-engineer proteins — a specific set called the Yamanaka factors — that can turn human skin cells into young-seeming stem cells. Retro believes these proteins are a promising step toward building human organs and providing supplies of replacement cells.

The model differs slightly from Google’s Nobel prize-winning AlphaFold, which predicts the shape of proteins, but it appears to be OpenAI’s first model that is custom-built for biological research. OpenAI and Retro tell the MIT Technology Review they plan to release research on the model and its outputs.

Geoff Hinton — Will Digital Intelligence Replace Biological Intelligence? | Vector’s Remarkable 2024

Vector Institute’s Remarkable 2024 | Geoffrey Hinton — Will Digital Intelligence Replace Biological Intelligence?

In this profound keynote, Vector co-founder Geoffrey Hinton explores the philosophical implications of artificial intelligence and its potential to surpass human intelligence. Drawing from decades of expertise, Hinton shares his growing concerns about AI’s existential risks while examining fundamental questions about consciousness, understanding, and the nature of intelligence itself.

Geoffrey Hinton is one of the founding fathers of deep learning and artificial neural networks. He was a Vice President and Engineering Fellow at Google until 2023 and is Professor Emeritus at the University of Toronto. In 2024 Hinton was awarded the Nobel Prize in Physics.

Key Topics Covered:
‱ The distinction between digital and analog computation in AI
‱ Understanding consciousness and subjective experience in AI systems.
‱ Evolution of language models and their capabilities.
‱ Existential risks and challenges of AI development.

Timeline:
00:00 — Introduction.
03:35 — Digital vs. Analog Computation.
14:55 — Large Language Models and Understanding.
27:15 — Super Intelligence and Control.
34:15 — Consciousness and Subjective Experience.
41:35 — Q\&A Session.

Remarkable 2025 is coming, subscribe to our newsletter.

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AI and Quantum Computing: Glimpsing the Near Future

Catch a glimpse of the near future as AI and Quantum Computing transform how we live. Eric Schmidt, decade-long CEO of Google, joins Brian Greene to explore the horizons of innovation, where digital and quantum frontiers collide to spark a new era of discovery.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Participants:
Eric Schmidt.

Moderator:
Brian Greene.

WSF Landing Page: https://www.worldsciencefestival.com/.


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Twisted Edison: Filaments Curling at the Nanoscale Produce Light Waves that Twirl as they Travel

Bright, twisted light can be produced with technology similar to an Edison light bulb, researchers at the University of Michigan have shown. The finding adds nuance to fundamental physics while offering a new avenue for robotic vision systems and other applications for light that traces out a helix in space.

“It’s hard to generate enough brightness when producing twisted light with traditional ways like electron or photon luminescence,” said Jun Lu, an adjunct research investigator in chemical engineering at U-M and first author of the study on the cover of this week’s Science.

“We gradually noticed that we actually have a very old way to generate these photons—not relying on photon and electron excitations, but like the bulb Edison developed.”

Nvidia transitions to advanced CoWoS-L chip packaging, signaling a major shift for TSMC

Speaking on the sidelines of an event hosted by chip supplier Siliconware Precision Industries in Taichung, Taiwan, Huang explained the transition in Nvidia’s chip packaging requirements. “As we move into Blackwell, we will use largely CoWoS-L. Of course, we’re still manufacturing Hopper, and Hopper will use CoWoS-S. We will also transition the CoWoS-S capacity to CoWoS-L,” he stated.

Huang emphasized that this shift does not indicate a reduction in capacity but rather an increase in capacity for CoWoS-L technology. “So it’s not about reducing capacity. It’s actually increasing capacity into CoWoS-L,” he said.

CoWoS-L (Chip-on-Wafer-on-Substrate with Local Silicon Interconnect) represents a significant advancement over CoWoS-S in terms of performance and efficiency for high-end computing applications like AI and HPC.

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