OpenAI
Category: robotics/AI – Page 40
Now this is the sort of application of AI that really intrigues me. Researchers have developed DolphinGemma, the first large language model (LLM) for understanding dolphin language. It could help us translate what these incredible creatures are saying, potentially much faster than we ever could with manual approaches used over several decades.
“The goal would be to one day speak Dolphin,” says Dr. Denise Herzing. Her research organization, The Wild Dolphin Project (WDP), exclusively studies a specific pod of free-ranging Atlantic spotted dolphins who reside off the coast of the Bahamas.
She’s been collecting and organizing dolphin sounds for the last 40 years, and has been working with Dr. Thad Starner, a research scientist from Google DeepMind, an AI subsidiary of the tech giant.
Tesla is navigating challenges in the EV market, including supply chain issues and production adjustments, while maintaining optimism about advancements in self-driving technology and preparing for future earnings ## Questions to inspire discussion ## Tesla’s FSD Progress.
🚗 Q: How has Tesla’s FSD version 13 performed in recent tests? A: FSD v13 on hardware 4 showed incredible performance with no unplanned disengagements over 490 miles of winding mountain and coastal roads, including navigating flagger-regulated oncoming traffic.
🌎 Q: What are the expectations for Tesla’s FSD version 14? A: FSD v14 is expected to be overfit for Austin and potentially deployed unsupervised globally in a short timeframe, subject to regulatory approval. Tesla’s Manufacturing and Supply Chain.
🔋 Q: How is Tesla addressing rare earth element concerns in motor production? A: Tesla’s rare earth free motors use 25% less rare earth elements than industry average, positioning them well against China’s export controls on 7 rare earth elements, including neodymium.
📊 Q: What insights might Tesla’s upcoming earnings call provide? A: The April 22nd earnings call will likely address supply chain and margin impacts from China’s rare earth export controls, battery supply constraints, and tariff effects. Tesla’s Product Updates.
📷 Q: What undocumented changes are included in Tesla’s AI4 vehicles spring release? A: The release includes a wider angle rear view, side repeater cameras at the top, and B-pillar dash cam and Sentry mode video recording capabilities.
Tesla is advancing its full self-driving technology in Austin, Texas, with plans for an unsupervised robo taxi service by June 2025, positioning itself for significant revenue growth and regulatory approval through enhanced safety and efficiency ## ## Questions to inspire discussion Operational Efficiency.
🏭 Q: How is Tesla using unsupervised FSD at Giga Texas? A: Tesla is using unsupervised FSD to drive new Model Y and Cybertruck units from production lines to outbound logistics lots, logging over 50,000 driverless miles between Texas and Fremont factory deployments.
💰 Q: What are the benefits of automating car movement at Giga Texas? A: Automating car movement reduces labor costs, improves throughput, creates a scalable logistics model, and boosts production margins. Regulatory Advantage.
🚗 Q: How does Tesla benefit from Texas regulations regarding autonomous vehicles? A: Texas laws don’t require permits for autonomous vehicles, providing Tesla with a regulatory advantage and a lower-risk proving ground before public rollout of robo taxis. Technological Edge.
🖥️ Q: What hardware advantages does Tesla’s FSD system have over competitors? A: Tesla’s vision-only FSD with Tesla-designed HW4 uses no LIDAR or radar, accelerating the data flywheel with unsupervised miles accumulated. Future Prospects.
🚕 Q: When and where will Tesla launch its first public unsupervised robo taxi service? A: Tesla plans to launch its first public unsupervised robo taxi service in Austin as a pilot rollout in June 2025.
Brain scans analyzed with AI reveal how narcissistic and Machiavellian traits align with different brain networks.
Joscha Bach, cognitive scientist & AI researcher, talks about philosophy in computation, East Germany, AI, ChatGPT, AlphaZero, human intelligence, consciousn…
All manner of companies and tech leaders have been predicting when AGI will be achieved, but we might have one of the surest signs that it’s already here — or is just around the corner.
Google Deepmind is hiring a Post-AGI researcher for its London office. As per a job listing on internet boards, Google Deepmind is looking for a “Research Scientist, Post-AGI Research”. “We are seeking a Research Scientist to explore the profound impact of what comes after AGI,” the job listing says.
“At Google DeepMind, we’ve built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking research that will focus on what comes after Artificial General Intelligence (AGI). Key questions include the trajectory of AGI to artificial superintelligence (ASI), machine consciousness, the impact of AGI on the foundations of human society,” says the job listing.
Elon Musk’s Tesla is on the verge of launching a self-driving platform that could revolutionize transportation with millions of affordable robotaxis, positioning the company to outpace competitors like Uber ## ## Questions to inspire discussion ## Tesla’s Autonomous Driving Revolution.
🚗 Q: How is Tesla’s unsupervised FSD already at scale? A: Tesla’s unsupervised FSD is currently deployed in 7 million vehicles, with millions of units of hardware 4 dormant in older vehicles, available at a price point of $30,000 or less.
🏭 Q: What makes Tesla’s autonomous driving solution unique? A: Tesla’s solution is vertically integrated with end-to-end ownership of the entire system, including silicon design, software platform, and OEM, allowing them to keep costs low and push down utilization on ride-sharing networks. Impact on Ride-Sharing Industry.
💼 Q: How will Tesla’s autonomous vehicles affect Uber drivers? A: Tesla’s unsupervised self-driving cars will likely replace Uber’s 1.2 million US drivers, being 4x more useful due to no breaks and no human presence, operating at a per-mile cost below 50% of current Uber rates.
💰 Q: What economic pressure will Tesla’s solution put on Uber? A: Tesla’s autonomous driving solution will create tremendous pressure on Uber, with its cost structure acting as a magnet for high utilization, maintaining low pre-pressure costs for Tesla due to their fundamentally different design. Future Implications.
🤝 Q: What potential strategy might Uber adopt to compete with Tesla? A: Uber may need to approach Tesla to pre-buy their first 2 million Cyber Caps upfront, including production costs, as potentially the only path to compete with Tesla’s autonomous driving solution.