artificial intelligence
From stealth comes awareness, and Devin launches an AI software engineer.
Shubham Sharma | Venture Beat
“Human users simply enter natural language prompts into Devin’s chatbot-style interface, and AI software engineers take it from there and create a detailed step-by-step plan to tackle the problem. , because you use developer tools just like humans use developer tools to start projects, write your own code, fix problems, test and report progress in real time. Users can monitor everything in action.”
Covariant launches universal AI platform for robots
Evan Ackerman IEEE Spectrum
“[On Monday, Covariant announced] RFM-1 is described by the company as a robotics foundation model that gives robots “human-like reasoning capabilities.” This is from a press release, and I'm not necessarily into reading too much into “humanity” or “rationality”, but what Covariant is doing here is pretty cool. …“Our existing systems are already good enough to perform very fast and highly variable pick-and-place,” says Covariant co-founder Pieter Abbeel. “But we're taking it even further now. Whatever the task, whatever its incarnation, that's the long-term vision. Powering billions of robots around the world. A basic robotics model for
Cerebras unveils next wafer-scale AI chip
Samuel K. Moore | IEEE Spectrum
“Cerebras says its next generation of wafer-scale AI chips can deliver twice the performance of previous generations while consuming the same amount of power. Wafer Scale Engine 3 (WSE-3) has 4 trillion It contains over 50% more transistors than the previous generation due to the use of new chip manufacturing techniques. The company says it plans to use WSE-3 in its new generation of AI computers. This computer is currently being installed in a Dallas data center to form an 8 exaflops (8 billion floating point operations per second) supercomputer.
SpaceX celebrates major progress with spacecraft's third flight
Stephen Clark | Ars Technica
“SpaceX's new generation Starship rocket, the most powerful and largest launch vehicle ever built, will fly halfway around the world and carry heavy cargo into low Earth orbit after lifting off from South Texas on Thursday. This successful launch builds on two Starship test flights last year, which achieved some, but not all, objectives and allowed the privately funded rocket program to begin launching satellites. It appears that SpaceX is on track to accelerate Starlink's already breakneck pace. Expand. ”
This self-driving startup uses generative AI to predict traffic
James O'Donnell MIT Technology Review
“The new system, called Copilot4D, was trained on large amounts of data from LIDAR sensors, which use light to sense the distance of objects. We modeled situations such as a driver recklessly merging onto a freeway at high speed. When you tell it to, the model predicts how surrounding vehicles will move and generates a LIDAR representation five to 10 seconds into the future (possibly indicating a pile-up accident).”
Electric cars are still not enough
Andrew Moseman | The Atlantic
“The next step in the leap from early adoption to mass adoption of electric vehicles is in the hands of people.” [David] Mr. Rapson calls himself a “realist.” They are Americans who buy whatever car they think is best and wait for concerns about price, range, and charging to subside before moving to electric vehicles. Current EVs don't fascinate them. ”
Mining helium-3 on the moon has been talked about forever, but now one company is taking on the challenge.
Eric Berger | Ars Technica
“Two of Blue Origin's earliest employees, former president Rob Meyerson and lead designer Gary Rye, are planning a company that will extract helium-3 from the moon's surface, return it to Earth, and sell it for use here. …The current Lunar Rush is more like the Gold Rush in California, where there is no money. By harvesting helium-3, which is rare and in limited supply on Earth, Interlune is extracting energy from the Moon's resources. It has the potential to help unlock value and change that calculus. However, many questions remain with this approach.”
What happens when ChatGPT tries to solve the 50,000 trolley problem?
Fintan Burke | Ars Technica
“Self-driving startups are currently experimenting with AI chatbot assistants, including self-driving systems that use chatbots to explain driving decisions. Moving large language models (LLMs) may not only need to announce red lights and turn signals, but ultimately make moral decisions such as prioritizing passenger and pedestrian safety. But is the technology ready? Kazuhiro Takemoto, a researcher at Japan's Kyushu Institute of Technology, wants to see if chatbots can make the same moral judgments as humans when driving. Ta.”
Countries join forces to outlaw lab-grown meat
Matt Reynolds | Wired
“Similar to Florida's bill, there are also proposed laws in Alabama, Arizona, Kentucky, and Tennessee that would ban cultured meat. If all of these bills pass, which is certainly a possibility, However, approximately 46 million Americans will no longer have access to meat that many expect to be significantly kinder to the planet and animals.”
Physicists finally discover a problem that only quantum computers can solve
Lakshmi Chandrasekaran | Quanta
“Quantum computers are on the verge of becoming computational superpowers, but researchers have long been looking for viable problems that could offer quantum advantages, problems that only quantum computers can solve. For the first time, they argue, the technology will finally be seen as essential, something they've been looking for for decades. …Now, a team of physicists including: [John] Preskill may have found the best candidate yet for achieving quantum advantage. ”
Image credit: SpaceX
