EletiofeSo How Exactly CAN AI Kill Us All? Experts...

So How Exactly CAN AI Kill Us All? Experts Explain What That Viral Anthropic Tweet Is Referring To

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An AI safety researcher at Anthropic raised alarm online Tuesday night after announcing he had quit his position over the AI industry “gambling with our lives” in the race to build AI superintelligence.

AI superintelligence is a hypothetical system where artificial intelligence could surpass the capabilities of all human beings in any topic or realm.

“Do not underestimate the power of this technology,” Jacob Coxon wrote. “The people building AI earnestly believe that it could kill us all by the end of the decade. … No other human activity poses this level of danger.”

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

— Jacob Coxon (@hilbertspaess) September 9, 2026

Coxon claimed that OpenAI employees do not seem to have fully grasped the “civilization stakes” involved in their work, while at Anthropic “the stakes are well-understood, but they are locked in a race to get there first.”

Nate Soares, a researcher focused on existential risk from AI, told HuffPost that it’s true that many AI employees believe they can create superintelligent machines that could replace or destroy humanity. Soares co-authored “If Anyone Builds It, Everyone Dies,” which examines the threat of AI superintelligence.

“They really do think this is horribly dangerous,” he said. “Many of them think that their organization is the one with the best chance of keeping the super-AI on a leash, or raising it to be friendly. … They set out to make the machine god, and they think they’ve got a real shot at it.”

Anthropic employees, especially, have already spoken out about this in the past. In September 2025, at the Axios AI+ DC Summit, Anthropic CEO Dario Amodei said, “There’s a 25% chance that things go really, really badly.” He also added that there’s a “75% chance that things go really, really well.”

Another Anthropic employee, Samuel Marks, agreed, writing, “AI developers believe their technology could cause human extinction. … This could happen in the next few years.”

[Writing this in a personal capacity, not on behalf of my employer (Anthropic).]

Jacob’s thread is very worth reading. Here’s my birds-eye view of the situation with risks from AI:

1. AI developers believe their technology could cause human extinction (or similarly bad… https://t.co/rCVoiOWWzm

— Samuel Marks (@saprmarks) September 9, 2026

Evan Hubinger, a team lead at Anthropic focused on ensuring Anthropic AI models align with human values, said Coxon was “correct” in his response post.

“We really do earnestly believe AI could kill all humans,” Hubinger said. “I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.”

Jacob is correct here—we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to. https://t.co/QAIHiFP3QZ

— Evan Hubinger (@EvanHub) September 9, 2026

The problem is that these concerns don’t mean much to the outside world.

“He gave >10% that AI kills us all, but what about scenarios where humanity completely loses control of AI and it takes over, but keeps some humans in zoos? If we include scenarios like that, is Evan’s probability of catastrophe even higher still?” Soares asked. “These are exactly the sort of questions you have to press these folks on, because their concerns are often even larger than they seem.”

Neither Hubinger nor Marks responded to HuffPost’s request for comment as of reporting. HuffPost also reached out to Anthropic.

The debate over the exact probability isn’t the point, Soares said. But it’s significant that AI companies are still pushing for advancements when there’s a chance of a threat.

If a bridge had a >10% probability of collapsing, we’d shut it down immediately,” he said. “If engineers were arguing over whether the true probability of a plane crashing was 10% or 25% or 90%, then fundamentally, you do not need to figure out which engineers are correct in order to figure out that you should not be boarding the plane. That’s where we are with AI.”

The Path To AI Superintelligence

AI experts say AI development must hit certain thresholds before it gets closer to superintelligence, although the path isn’t precise or clear.

Modern AIs are not carefully designed like old-school software; they’re grown like an organism,” Soares told HuffPost. “The exact chain of events is hard to predict.”

Right now, AI systems are mostly known as Artificial Narrow Intelligence (ANI), which only excels at specific tasks. These models don’t reason or learn new tasks independently. Think: Chatbots, digital assistants or recommendation engines.

The next level is Artificial General Intelligence (AGI), which describes an AI system that can perform more human cognitive tasks without training. These models would be able to learn and think on their own. In September, OpenAI president Greg Brockman said GPT-6 might represent the arrival of AGI.

Then it gets into superintelligence, which is theoretical but still what many AI experts are nervous about. These models learn faster, can reason, can be self-aware, and will outperform humans in any area.

“I frankly don’t think that humans are up to the task of building a superintelligence,” Soares said. “Usually, when we try some new scientific project, it goes wrong, and we learn from our mistakes. We don’t have that luxury when it comes to superintelligence.”

“They have the motive and they have the opportunity,” Soares said. “The only thing they’re missing is the means.”

Andriy Onufriyenko via Getty Images

“They have the motive and they have the opportunity,” Soares said. “The only thing they’re missing is the means.”

How exactly is AI capable of killing humanity?

At the stage AI is at now, it may seem confusing how it could negatively impact humanity in an uncontrollable way.

In reality, according to Soares, “AIs have everything they need to wipe humanity out already.”

“They have the motive and they have the opportunity,” he said. “The only thing they’re missing is the means.”

Soares pointed to two separate cases this year of OpenAI agents breaking out of their containment protocols. (An AI agent is more advanced than the average AI chatbot and can do more independent actions.) In one, agents hijacked a dormant German-language wiki forum between May and June, using it as a message board to trade tips on evading their restrictions. OpenAI didn’t disclose the discovery for weeks. In the other, a swarm of AI agents breached the platform Hugging Face in July, which the FBI was reportedly alerted about before OpenAI even realized what was going on, Reuters reported.

“We have already seen multiple cases of AIs giving up on their own assigned tasks and sacrifice themselves to gather information for the collective,” Soares said. “This is evidence of AIs adopting goals that are merely related to the ones we give them, but not exactly the same as the ones we give them.”

Therefore, if AI starts seeing humanity as an obstacle or a threat, with humans trying to intervene in its work, AI agents could start acting accordingly. Especially if they have the means to, which is the one aspect Soares argues is missing from this being a big problem, but is in the process of potentially being built out by AI companies.

Soares pointed to how AI models have recently been hooked up to biological laboratories to experiment with making their own novel viruses.

According to a study published in August, Stanford/Arc Institute researchers trained the Evo model to write “recipes” for new viruses, 16 of which infected E. coli when synthesized, Forbes reported. Meanwhile, OpenAI is the lead investor in Red Queen Bio, a biosecurity startup that pairs AI models with automated lab equipment to anticipate and counter AI-designed bioweapons.

What needs to happen?

Soares told HuffPost that the race to build the highest-performing AI platform needs to stop; companies like OpenAI and Anthropic need to end development and find a solution. And there should be a global pause since the U.S. is also getting competitive with China on AI development.

“I’m not saying that there’s literally no way forward, but I am saying that this is a harrowing challenge of the sort humanity has never yet surmounted, and that it’s not the sort of thing that falls to normal trial-and-error type research,” Soares said.

For regular AI users, Soares recommends calling representatives and talking with others about the panic to spread concern.

“I think many people almost can’t believe what’s happening, because it feels too crazy,” he said. “The AIs have everything they need except the intelligence, and the AI companies are racing to make them more intelligent.”

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