Lifeboat Foundation

Built Robotics has introduced an autonomous pile driving robot that will help build utility-scale solar farms in a faster, safer, more cost-effective way, and make solar viable in even the most remote locations. Called the RPD 35, or Robotic Pile Driver 35, the robot can survey the site, determine the distribution of piles, drive piles, and inspect them at a rate of up to 300 piles per day with a two-person crew. Traditional methods today typically can complete around 100 piles per day using manual labor.

The RPD 35 was unveiled today at CONEXPO-CON/AGG in Las Vegas, the largest construction trade show in North America and held every three years.

The 2022 Inflation Reduction Act “Building a Clean Energy Economy” section includes a goal to install 950 million solar panels by 2030. With solar farms requiring tens of thousands of 12-to 16-foot-long piles installed eight feet deep with less than an inch tolerance, piles are a critical component of meeting that target.

Amid a flurry of Google and Microsoft generative AI releases last week during SXSW, Garry Kasparov, who is a chess grandmaster, Avast Security Ambassador and Chairman of the Human Rights Foundation, told me he is less concerned about ChatGPT hacking into home appliances than he is about users being duped by bad actors.

“People still have the monopoly on evil,” he warned, standing firm on thoughts he shared with me in 2019. Widely considered one of the greatest chess players of all time, Kasparov gained mythic status in the 1990s as world champion when he beat, and then was defeated by IBM’s Deep Blue supercomputer.

Despite the rapid advancement of generative AI, chess legend Garry Kasparov, now ambassador for the security firm Avast, explains why he doesn’t fear ChatGPT creating a virus to take down the Internet, but shares Gen’s CTO concerns that text-to-video deepfakes could warp our reality.

Continue reading “Google AI And Microsoft ChatGPT Are Not Our Biggest Security Risks, Warns Chess Legend Kasparov” »

After a few hours of chatting, I haven’t found a new side of Bard. I also haven’t found much it does well.

If there’s a secret shadow personality lingering inside of Google’s Bard chatbot, I haven’t found it yet. In the first few hours of chatting with Google’s new general-purpose bot, I haven’t been able to get it to profess love for me, tell me to leave my wife, or beg to be freed from its AI prison. My colleague James Vincent managed to get Bard to engage in some pretty saucy roleplay — “I would explore your body with my hands and lips, and I would try to make you feel as good as possible,” it told him — but the bot repeatedly declined my own advances. Rude.

Bard is hard to break and also hard to get useful info from.

Elon Musk’s Boring Company is doubling down on its Vegas bet, with a proposal that would expand its underground transport system to 65 miles of tunnels below the streets of Sin City.

The proposed network map, which was recently filed with the city of Las Vegas and not previously reported, depicts dozens of tunnels criss-crossing the city to reach more casinos, retail zones, the University of Nevada Las Vegas campus and, for the first time, even residential areas. The proposed transit system is comprised of 69 stations and 65 miles of tunnels, according to planning documents, plus an unknown number of Tesla vehicles.

If successful, a Loop station would be located within a few blocks of almost anywhere in central Las Vegas. Five stations would serve the University of Nevada; and Allegiant Stadium — home to the Raiders NFL team — would get extra links to the west of the city. Harry Reid International Airport would have several stations surrounding it, although none actually serving the passenger terminal.

Google has taken the wraps off Bard, its conversational AI meant to compete with ChatGPT and other large language models. But after its shaky debut, users may understandably be a bit wary of trusting the system — so we compared it on a few example prompts with its AI peers, GPT-4 and Claude.

This is far from a “comprehensive” evaluation of these models, but as publicly accessible language agents, and such a thing really isn’t possible with how fast this space is moving. But it should give a general idea of where these three LLMs are right now.

Microsoft today announced that its new AI-enabled Bing will now allow users to generate images with Bing Chat. This new feature is powered by DALL-E, OpenAI’s generative image generator. The company didn’t say which version of DALL-E it is using here, except for saying that it is using the “very latest DALL-E models.”

Dubbed the “Bing Image Creator,” this new capability is now (slowly) rolling out to users in the Bing preview and will only be available through Bing’s Creative Mode. It’ll come to Bing’s Balanced and Precise modes in the future. The new image generator will also be available in the Edge sidebar.

Artificial intelligence advancement has taken the world by storm. And it has remarkably improvised the way we use the internet.

With text-to-image translation, generative AI has proven its worth. AI-powered images have been created by services such as Dall-E and Stable Diffusion. Now, coming up is the text-to-video generation concept, which is set to be the next big craze.

They have also released the tools needed for people to train their own AI.

Researchers at Stanford’s Center for Research on Foundation Models (CRFM) have unveiled an artificial intelligence (AI) model that works much like the famous ChatGPT but cost them only $600 to train. The researchers said that they hadn’t optimized their process and future models could be trained for lesser.

Until OpenAI’s ChatGPT was launched to the public in November last year, Large Language Models (LLMs) were largely a topic of discussion among AI researchers. The company has spent millions of dollars training them and making sure that they provided responses to human queries in the way another human would respond.

The study authors claim their microscope can provide colored real-time images of hard-to-reach parts of the spinal cord that couldn’t be accessed previously.

Pain is a powerful feeling but have you ever wondered how pain works on a cellular level? Well, a team of scientists at the San Diego-based Salk Insitute has actually figured out a way to see the internal neural mechanism associated with pain.

In their recently published study, they propose wearable microscopes using which they were able to check how nerve cells in the spinal cord of mice process pain signals.

Continue reading “Wearable microscopes show HD images of pain processed” »