HomeNewsAnthropic CEO becomes pure techno-optimist in 15,000-word paean to AI

Anthropic CEO becomes pure techno-optimist in 15,000-word paean to AI

Dario Amodei, CEO of Anthropic, wants you to know that he isn’t an AI “doomer.”

At least that's my interpretation of the “Mic Drop” of about 15,000 words Essay Amodei posted on his blog late Friday. (I attempted asking Anthropic's Claude chatbot to agree with this, but unfortunately the post exceeded the free plan's length limit.)

Broadly speaking, Amodei paints an image of a world during which all AI risks are mitigated and the technology delivers previously unrealized prosperity, social upliftment and abundance. He insists that this isn’t to attenuate the disadvantages of AI – first, without naming names, Amodei goals to stop AI firms from overstating and customarily touting the capabilities of their technology. However, one could argue that the essay leans too far into the techno-utopian direction and claims are simply not supported by facts.

Amodei expects “powerful AI” to reach as early as 2026. By powerful AI, he means AI that’s “smarter than a Nobel Prize winner” in fields like biology and engineering, and may handle tasks like proving unsolved mathematical theorems and writing “extremely good novels.” This AI, says Amodei, shall be in capable of control any software or hardware conceivable, including industrial machinery, and essentially do a lot of the tasks that humans do today – but higher.

“(This AI) can engage in any actions, communications, or distant operations… including actions on the Internet, giving or giving instructions to humans, ordering materials, conducting experiments, watching videos, creating videos, and so forth,” writes Amodei. “It has no physical embodiment (apart from life on a pc screen), but it may well control existing physical tools, robots or laboratory equipment through a pc; In theory, it could even design robots or devices for itself.”

Loads would must occur to achieve this point.

Even the perfect AI today cannot “think” the way in which we understand it. Models don't a lot reason as replicate patterns they've observed of their training data.

Assuming for Amodei's argument that the AI ​​industry will soon “solve” human-like considering, the query arises whether robotics would catch as much as enable future AI to conduct laboratory experiments, make their very own tools, etc.? The brittleness of today's robots suggests that this can be a great distance off.

Still, Amodei is optimistic – very optimistic.

He believes that in the following seven to 12 years, AI could help treat just about all infectious diseases, eliminate most cancers, cure genetic disorders and stop Alzheimer's in its early stages. Amodei expects that diseases resembling post-traumatic stress disorder, depression, schizophrenia and addiction might be cured in the following five to 10 years using drugs created using artificial intelligence or genetically prevented through embryo screening (a controversial opinion) – and that there may also be AI-developed drugs that “adjust cognitive function and emotional state” to “make (our brains) behave a little bit higher and have a more fulfilling on a regular basis experience.”

Amodei assumes that the typical human life expectancy will double to 150 on this case.

“My basic prediction is that AI-powered biology and medicine will allow us to compress into 5-10 years the progress that human biologists would have made in the following 50-100 years,” he writes. “I call this the 'compressed twenty first century': the concept that after developing powerful AI, in a number of years we shall be making all of the advances in biology and medicine that we’d have made throughout the twenty first century.”

This also seems far-fetched once you consider that AI has not yet radically modified medicine – and maybe not for a very long time or in any respect. Even if AI does reduce Because of the work and expense involved in bringing a drug to preclinical testing, it might fail at a later stage, just as with human-developed drugs. Consider that the AI ​​utilized in healthcare today has proven to be biased and dangerous in some ways, or extremely difficult to implement into existing clinical and laboratory environments. To claim that every one of those problems and more shall be solved inside the decade or so seems, well, ambitious.

But Amodei doesn't stop there.

AI could solve world hunger, he claims. It could turn the tide on climate change. And it could transform the economies of most developing countries; Amodei believes AI can bring sub-Saharan Africa's per capita GDP ($1,701 in 2022) to China's per capita GDP ($12,720 in 2022) in 5-10 years.

These are daring statements, although they’re probably familiar to anyone who has listened to supporters of the “Singularity” movement, which expects similar results. To Amodei's credit, he recognizes that such developments would require “tremendous efforts in global health, philanthropy, (and) political advocacy,” which he believes will occur since it is on the planet's best economic interest.

That would represent a dramatic shift in human behavior on this case, considering that humans have shown time and time again that their primary interest is what advantages them within the short term. (Deforestation is only one example amongst hundreds.) It's also price noting that lots of the staff accountable for labeling the info sets used to coach the AI ​​are paid well below minimum wage, while their employers capitalize on the outcomes to the tune of several tens of thousands and thousands – or a whole lot of thousands and thousands – harvest.

Amodei briefly addresses the risks of AI to civil society and suggests that a coalition of democracies secure the AI ​​supply chain and block adversaries in search of to make use of AI for harmful purposes from the technique of powerful AI production (semiconductors, etc.). keeps away. In the identical breath, he suggests that in the suitable hands, AI could possibly be used to “undermine repressive governments” and even reduce bias within the legal system. (AI has historically heightened prejudices within the legal system.)

“A very mature and successful implementation of AI has the potential to scale back bias and be fairer for everybody,” writes Amodei.

So if AI takes over every task conceivable and does it higher and faster, isn't that economically failing humans? Amodei admits that that is the case and that at this point society must have conversations about “how the economy must be organized.”

But he offers no solution.

“People desire a sense of feat, even a way of competition, and in a post-AI world it is going to be entirely possible to spend years dedicated to a really difficult task with a fancy strategy, very similar to people do today do after they start. “They research projects, attempt to turn out to be Hollywood actors or start firms,” he writes. “The undeniable fact that (a) an AI somewhere could in principle do that task higher and (b) this task is not any longer an economically worthwhile element of a worldwide economy doesn’t appear to be very vital to me.”

Finally, Amodei argues that AI is merely a technological accelerator – that humans naturally gravitate toward “the rule of law, democracy and enlightenment values.” However, he ignores the various costs that AI brings with it. AI is predicted to have – and already is – having a big impact on the environment. And it creates inequality. Nobel Prize-winning economist Joseph Stiglitz and others have done it noted The work disruptions brought on by AI could further concentrate wealth within the hands of corporations and leave staff more powerless than ever before.

Anthropic is one in every of these firms, as much as Amodei doesn't wish to admit it. After all, Anthropic is a business – one allegedly price nearly $40 billion. And those that profit from its AI technology are, by and enormous, firms whose sole responsibility is to extend returns for his or her shareholders, not to enhance humanity.

A cynic might actually query the timing of the essay, considering that Anthropic is reportedly within the strategy of raising billions of dollars in enterprise funds. OpenAI CEO Sam Altman released a similarly technopotimistic manifesto shortly before OpenAI closed a $6.5 billion funding round. Maybe it's a coincidence.

On the opposite hand, Amodei isn’t a philanthropist. Like every CEO, he has a product to present. It's simply that his product will “save the world” – and those that think otherwise risk being left behind. At least that's what he would have you think.

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