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DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

technologyreview.com

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Re: DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

#3
The magazine I worked for at the time was about to publish an article claiming that DeepMind had failed to comply with data protection regulations when accessing records from some 1.6 million patients to set up those collaborations—a claim later backed up by a government investigation. Suleyman couldn’t see why we would publish a story that was hostile to his company’s efforts to improve health care. As long as he could remember, he told me at the time, he’d only wanted to do good in the world.

In the seven years since that call, Suleyman’s wide-eyed mission hasn’t shifted an inch. “The goal has never been anything but how to do good in the world,” he says via Zoom from his office in Palo Alto, where the British entrepreneur now spends most of his time.

Thanks, I hate him already.

A messianic SV hand waver who doesn't care about anything but his special mission, doesn't care about breaking rules, and reflexively gaslights people who complain. As if "Why don't you support the mission bro?" is a reasonable response to "you should protect people's information."

Re: DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

#5
Does anyone have recommendations on people pointing out the wide epistemological limits of current and future datasets?

I’ve been thinking about the limits of statistical AI for the last 20 years when I did my Ph.D. in embodied cognition. Folks like Andy Clark then put much more emphasis on having bodies.

Re: DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

#6
post #5

Does anyone have recommendations on people pointing out the wide epistemological limits of current and future datasets? I’ve been thinking about the limits of statistical AI for the last 20 years when I did my Ph.D. in embodied cognition. Folks like Andy Clark then put much more emphasis on having bodies.

Brain implants feeding off our sensory and cognitive circuitry seems the century long challenge. Robots and bots are interesting distortion mirrors along the way.

Re: DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

#8
> In a recent conversation I had with him, he told me that generative AI is just a phase. What’s next is interactive AI: bots that can carry out tasks you set for them by calling on other software and other people to get stuff done.

Is this somehow an old article? Has the DeepMind cofounder somehow been unaware of ChatGPT, which has already been doing this for months, and which is what exploded the whole notion of AI into the popular zeitgeist in the first place?

Re: DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

#9

The magazine I worked for at the time was about to publish an article claiming that DeepMind had failed to comply with data protection regulations when accessing records from some 1.6 million patients to set up those collaborations—a claim later backed up by a government investigation. Suleyman couldn’t see why we would publish a story that was hostile to his company’s efforts to improve health care. As long as he co…

How did he manage to persuade investors to sign papers stating that the companies' mission is to do good and not make profit / "exit"?

Re: DeepMind cofounder: Generative AI is just a phase. What’s next is interactive AI

#10

The magazine I worked for at the time was about to publish an article claiming that DeepMind had failed to comply with data protection regulations when accessing records from some 1.6 million patients to set up those collaborations—a claim later backed up by a government investigation. Suleyman couldn’t see why we would publish a story that was hostile to his company’s efforts to improve health care. As long as he co…

There is a real argument on the other side, though. We're dealing with technologies that they've when given access to loads of data. Health data is heavily regulated, and rightly so, but that regulation greatly hinders innovation.

Hell medical data access problems are bad enough even when we aren't talking about innovation: simple problems in sharing data between different systems/providers leads to bad outcomes all the time.

https://www.techrepublic.com/article/data-quality-in-healthc...

So it's a case where fragmentation and regulation are already leading to bad outcomes for patients, and where innovation is suppressed because of lack of access, especially to population-level data.

Even without ai, imagine being able to identify various kinds of outbreaks by correlating nearby diagnoses in real time, and flashing the local nurses that there's a serious food poisoning outbreak happening fire their consideration when people call in with early symptoms. We should be able to do this easily.

We should protect people's information, but we also need to build a road to a better tomorrow. The current rules are, in fact, broken, and we need new rules which lead to better outcomes.

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