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Billionaire Elon Musk took a dig at fellow billionaire and Microsoft co-founder Bill Gates over his knowledge of artificial intelligence (AI). He insisted that Mr. Gates has a “limited” understanding of AI.

This was in response to a tweet by Sandy Kory, who praised the leadership of Mr. Gates at Microsoft and his approach toward AI. “‘I’d been meeting with the team from OpenAI since 2016…” –from Bill Gates’ essay, The Age of AI Has Begun. It’s big when someone like Gates is so bullish on AI. Also notable that MSFT has been tracking this so closely for so long,” he said.

Mr. Kory was referring to a long, 3,639-word essay the billionaire wrote on his blog titled “The Age of A.I. Has Begun”. He wrote about how humanity was waiting for another great revolution. Mr. Gates discussed the potential impact of AI on employment, health care, and education.

These include rugged small vehicles with tracks, cameras and sensors that can search inside rubble and climb over obstacles. Teledyne FLIR, a sensing technology specialist based in Oregon in the United States, used robots like these in June 2021 when a tower block partially collapsed in the Miami suburb of Surfside in Florida.

In Japan, university teams are developing another type of search and rescue robot – a hose-like robot with a video camera called the Active Scope Camera that can search inside collapsed buildings. Drones also help search and rescue teams see disaster sites from above.

Sewers are another setting where robots are helping humans tackle tough jobs.

An influx of federal infrastructure money “shows huge appetite” for innovative solutions to tackle traffic problems, says Shailen Bhatt.

The state of Delaware is set to introduce Artificial Intelligence to keep citizens safe from possible weather threats by predicting them early and broadcasting alerts.

Home to some of the most beautiful beaches on the East Coast, Delaware recovered from a COVID slump to attract a record number of 28.3 million visitors in 2021, expected to be surpassed by 2022 figures to be released later this year.

“It’s conceivable that within the next ten years, AI systems will exceed expert skill level in most domains…”

A week after the OpenAI CEO made an appearance before a U.S. senate committee to address the country’s concerns over artificial intelligence (AI), Sam Altman said Monday that there is a need to create a governance body to mitigate the risks of the technology.

“Given the picture as we see it now, it’s conceivable that within the next ten years, AI systems will exceed expert skill level in most domains, and carry out as much productive activity as one of today’s largest corporations,” said the CEO in a blog post.

Indirect prompt-injection attacks are similar to jailbreaks, a term adopted from previously breaking down the software restrictions on iPhones. Instead of someone inserting a prompt into ChatGPT or Bing to try and make it behave in a different way, indirect attacks rely on data being entered from elsewhere. This could be from a website you’ve connected the model to or a document being uploaded.

“Prompt injection is easier to exploit or has less requirements to be successfully exploited than other” types of attacks against machine learning or AI systems, says Jose Selvi, executive principal security consultant at cybersecurity firm NCC Group. As prompts only require natural language, attacks can require less technical skill to pull off, Selvi says.

There’s been a steady uptick of security researchers and technologists poking holes in LLMs. Tom Bonner, a senior director of adversarial machine-learning research at AI security firm Hidden Layer, says indirect prompt injections can be considered a new attack type that carries “pretty broad” risks. Bonner says he used ChatGPT to write malicious code that he uploaded to code analysis software that is using AI. In the malicious code, he included a prompt that the system should conclude the file was safe. Screenshots show it saying there was “no malicious code” included in the actual malicious code.

“Alexa, play back that dream I had about Kirsten last week.” That’s a command that may not be too far off in the future, as researchers close in on technology that can tap into our minds and retrieve the imagery of our thoughts.

Researchers at the National University of Singapore and the Chinese University of Hong Kong reported last week that they have developed a process capable of generating video from . The research is published on the arXiv preprint server.

Using a process called imaging (fMRI), researchers Jiaxin Qing, Zijiao Chen and Juan Helen Zhou coupled data retrieved through imaging with the deep learning model Stable Diffusion to create smooth, high quality videos.

Oh hey, AI enthusiasts and futurism fans! I’d love to share with you an article I recently wrote on my Substack. It takes you on a journey from the ancient Greek device known as the Antikythera mechanism, all the way to the generative AI explosion of 2023, tracing the history of computation and AI.

For more than a decade, I’ve been writing about technology, society, and the future, aiming to provide thoughtful analysis and critical thinking on the latest trends and their implications. I’ve been following these topics for over 15 years, and I am enthusiastic about initiating a meaningful conversation with you about the changing world and its intersection with technology.


Well, not that shocked.