Lifeboat Foundation

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.

You can even choose SEO keywords to litter throughout.

By Chuck Brooks

AI agents represent a great leap forward in technology, offering exponential benefits to society. From enhancing scientific research, healthcare, transportation, education, and cybersecurity. There are a lot of different applications that AI agents could help enable in our new digital world, including, foremost, for humans.

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Continue reading “Augmenting Human Capabilities With Artificial Intelligence Agents” »

I will begin with the first point and make my way gradually to the tenth point.

I’ve already mentioned to you that the AI of the 1970s was toy-like in comparison to the more involved and expansive AI of today. Modern-day generative AI, for example, makes use of vast amounts of data as scanned across the Internet to pattern-match the nature of human writing. This requires a massive amount of computing resources (something far beyond the depth readily employable in the 1970s). The large-scale modeling or pattern matching is what makes contemporary generative AI seem highly fluent.

A common phrase is to say that generative AI is mimicking or parroting human writing.

Brandon Wang is vice president of Synopsys.

The rapid development of AI has led to significant growth across the computing industry. But it is also causing a huge increase in energy consumption, which is leading us into an energy crisis. Current AI models, especially large language models (LLMs), need huge amounts of power to train and run. AI queries require much more energy than traditional searches; for example, asking ChatGPT a question consumes up to 25 times as much energy as a Google search. At current rates of growth, AI is expected to account for up to 3.5% of global electricity demand by 2030, twice as much as the country of France.

We need to address this issue urgently before it becomes unsustainable. If we don’t, the impact could threaten sustainable growth and the widespread adoption of AI technologies themselves. Fortunately, there are a number of pathways toward more energy-efficient AI systems and computing architectures.

Adam D’Angelo, a board member at Microsoft (MSFT) backed OpenAI, said that general artificial intelligence is likely to occur within five to 15 years. Read for more.

ARC Prize offers US $1 million to spur artificial general intelligence research.

We asked a professional comedian to deliver some jokes written by artificial intelligence on stage. What happened reveals a lot about just how much machines understand the very human sense of humour.

Karen Hobbs was more nervous than usual before this particular gig. A well-known circuit comedian, she’s accustomed to the UK’s often bruising stand-up comedy scene. It’s eclectic, unpredictable and famously short on pity-laughs. Hobbs has tackled some of the most unforgiving rooms in Britain, from major London theatres to the back rooms of rural pubs. She has even triumphed within the dreaded competition circuit, in which a merciless audience votes in a gladiatorial popularity contest for the funniest gags.

But this Thursday night in late June, above the Covent Garden Social Club bar in Central London, Hobbs was about to attempt something totally new. She would take to the stage equipped not with her usual material, but with a stand-up set written for her by the AI platform ChatGPT. Most daunting of all, she would follow three comedians doing their actual, human material.

Nightmare fuel? Maybe – but in a historic moment for the dental profession, an AI-controlled autonomous robot has performed an entire procedure on a human patient for the first time, about eight times faster than a human dentist could do it.