Lifeboat Foundation

Data centers are facilities that house the computing hardware used to process and store data. While some businesses maintain their own data centers on site, many others rely on ones owned and operated by someone else.

As our digital world continues to grow, demand for data centers — and clean electricity to operate them — is also increasing. To find out how we’ll be able to keep up, let’s look at the history of data centers, the challenges facing them, and ideas for overcoming those issues — on land, at sea, and in space.

But that doesn’t mean Frosst is bullish on everything the industry is building. He doesn’t think AI is really ever going to get to artificial general intelligence, defined as human-level intelligence, which is a noticeably different narrative from some of Frosst’s AI peers like Mark Zuckerberg and Jensen Huang. He added that if the industry does get there, it’s not going to be for a long time.

“I don’t think we’re gonna have digital gods anywhere, anytime soon,” Frosst said. “And I think more and more people are kind of coming to that realization, saying this technology is incredible. It’s super powerful, super useful. It’s not a digital god. And that requires adjusting how you’re thinking about the technology.”

Frosst said they try to be realistic at Cohere about what AI technology can and can’t do and what types of neural networks can provide the most value. Cohere’s approach to building its business model is based on the research work of Cohere co-founder and CEO Aidan Gomez while at Google Brain. Gomez is, of course, known for his extensive AI research. He’s most famous for co-writing a paper that bought AI the transformer model that ushered in this generative AI era. But he also co-wrote a paper in 2017 called One Model to Learn Them All. This research came to the conclusion that an all-encompassing large language model is more useful than small models trained for a specific task or on data from a specific industry, Frosst said.

In time, businesses may wake up to the true potential of artificial intelligence. But if worries grow, big tech’s spending plans will start to look as extravagant as its valuations.

So far the technology has had almost no economic impact.

Space-based solar power, an innovative concept that involves capturing solar energy in space and transmitting it to Earth, offers limitless opportunities in system design, manufacturing and deployment. This technology has the potential to revolutionize the energy industry, addressing global clean energy demands while minimizing environmental impact.

The availability of space resources, such as asteroid mining and lunar regolith utilization, presents opportunities for companies that invest in technologies and techniques to extract and process these resources, including precious metals, water and rare minerals.

The importance of continued investment in space exploration cannot be overstated. As space technology advances, businesses must consider potential applications in their industries. Collaboration between space agencies and private companies is key to driving innovation and economic growth, offering countless opportunities for the future.

On Meta’s Wednesday earnings call, CFO Susan Li reiterated to investors that financial returns from its recent AI investments will “come in over a longer period of time.” Zuckerberg was direct about why Meta is spending billions on Nvidia hardware and the other infrastructure ahead of these future returns: “It’s hard to predict how this will trend multiple generations into the future, but at this point, I’d rather risk building capacity before it is needed rather than too late.”

He again telegraphed that the Meta AI assistant is on track to be the most used in the world before the end of the year. While he touted that generative AI features “are things that I think will increase engagement in our products,” he said the real revenue will come from business use cases, like AI creating ads from scratch and letting businesses operate their own AI agents in WhatsApp for customer service.

TSMC making semiconductor fabs in the US has Intel Foundry grabbing as much TSMC senior engineer talent it can for its own foundry business.

Australian businesses are paying untold amounts of ransom to hackers, but the government is hoping to claw back some visibility with a landmark cybersecurity law.

While major ransomware attacks on companies such as MediSecure, Optus and Latitude have grabbed headlines for breaching the privacy of millions, the practice of quietly paying off cybercriminals has flourished in the dark.

The situation has deteriorated to the point that the government’s original ambition for an outright ban on ransom payments has been nixed, for now, and the focus has shifted to mapping the scale of the problem.

Nvidia, the world’s largest company by value, is reportedly developing a new artificial intelligence (AI) chip based on its flagship product B200 for the China market.

The mass production of the new chip, which may be called B20, will commence later this year while shipments will start in the second quarter of next year, Reuters reported, citing sources familiar with the matter.

The report said Nvidia will work with Inspur, one of its distributors in mainland China. However, Inspur said it has not started any business and cooperation related to B20 as of now. It said the Reuters report is not true.

Computer security company CrowdStrike is linked to a major IT outage affecting banks, airports, supermarkets and businesses across Australia and the world.

Airport check-in systems across the globe have been disrupted and businesses have reported the “blue screen of death” and IT outages.

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