🔴 A REPLICATOR LIKE THIS WOULD BE CHALLENGING TO SHUT DOWN, SINCE THERE'S NO CENTRALIZED POINT TO SHUT OFF. 🔴

A new warning about artificial intelligence from Anthropic caused a stir in cybersecurity circles on Tuesday, a ​day after the company warned that AI models could be months away from self-replicating across the internet.

In a post late Monday, Anthropic ‌raised the possibility that rogue AI could spin up a botnet, spread quickly, fight takedown attempts and even break into data centers to turbocharge its growth.

Some experts said Tuesday that they shared the company's concern, although at least one said the company appeared to be engaging in "vendor exaggeration."

Monday's post, opens new tab fleshed out a warning last month from Anthropic CEO Dario ​Amodei, who floated, opens new tab the idea that within the next year or even sooner, AI might be able to hijack "the entire internet" with "a persistent botnet."

Cybersecurity experts ​who pushed back on the doomsday scenario argued that models would be too big to move around efficiently and ⁠could not draw on enough computer power to operate independently.

The post made an early attempt to articulate how those challenges could be overcome.

The company said ​its experiments showed medium-sized AI models with 30 billion parameters or less could already perform many of the individual tasks required for self-replication, even if they struggled ​to complete the entire process reliably.

Anthropic said the models could then stitch together the required compute by hijacking inexpensive internet-connected devices. It added that the models were able to replicate across a simplified test network.

"A replicator like this would be challenging to shut down, since there's no centralized point to shut off," the company said.

The report adds to broader concerns ​about the security risks tied to increasingly capable AI systems, including their potential to automate cyberattacks, operate with limited human oversight and circumvent safeguards.

The advances ​in models have prompted a series of often dire warnings from industry heads and AI company employees about the possibility of severe, even existential, risks of runaway AI development.

Read More [HERE]

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Palantir CEO Warns AI Could Predict Your Next Move Before You Make It

Palantir CEO Alex Karp has warned that AI may become capable of predicting the future.

During [THIS] interview with Louis Robson, he explained that AI could predict people’s thoughts and actions within a domestic context.

This is not a theoretical laboratory experiment. It is an evolution of algorithms currently deployed by the US Department of Defense and its allies.

On the battlefield, AI uses massive datasets regarding troop movements, communication bursts and satellite imagery to map out enemy moves before they make it.

Domestically, the same predictive algorithm can predict human behavior by analyzing consumer behavior, digital communication, location telemetry, and biometric responses.

THE SCIENCE BEHIND AI PREDICTING THE FUTURE

The concept of AI predicting human behavior is based on hyper-refined data correlation.

An AI model scans and analyzes users’ micro-behaviors.

These includes precise scrolling speeds, dynamic biometric data from wearables and subtle location shifts. Afterwards, this data is compiled to calculate choices and reactions a person is likely to exhibit.

Karp warns that this creates a domestic landscape where citizens’ internal intent can be monitored without consent.

In this situation, their choices can become known in advance by governing entities or private enterprises . This can enable them to manipulate user reactions. Therefore, strict institutional regulation is essential to counter this.

CORPORATE RIVALRY

He further talked about the corporate rivalry between Silicon Valley labs such as OpenAI and Anthropic.

Eventually, Karp argues that the human mind might be outsourced to a centralized digital monopoly.

He insists that if predictive behavioral data is going to become a reality, it must remain decentralized and governed by local institutions.

Karp pushes for AI sovereignty.

He notes that consumption-based business models operate as parasites. He accuses them of trying to strip enterprises of their private data and intellectual property.

AI labs may ultimately need to be nationalized due to the unchecked risks and client liabilities they pose. Domestic production does not only pose the risk of government surveillance, it also risks cognitive pathways of the population being manipulated by AI corporates.

CHANGE IN KARP’S STANCE

Historically, Karp has maintained that the military did not use AI tools for mass domestic surveillance on US citizens.

He insisted that defense software was restricted to foreign adversaries in war contexts. By warning against the use of predictive AI in a domestic context, Karp is admitting that AI threats are seeping into society.

Moreover, while Karp made these statements, Palantir CTO Shyam Sankar publicly debunked extreme AI narratives. He said the extreme doomsday prophecies were mass psychosis. This proves that the tech industry is deeply divided.

Watch [HERE]

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If the data centres aren’t being built for AI, why are they being built? (2 min, 15 sec)
Join @davidavocadowolfe 🥑

WTF.

https://x.com/realchasegeiser/status/2110089310812950726

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