Richard Dawkins 'Convinced' AI Is Conscious
Mirnotoriety shares a report from The Telegraph: Richard Dawkins has said chatbots should be considered conscious (source paywalled; alternative source) after spending two days interacting with the Claude AI engine. The evolutionary biologist said he had the "overwhelming feeling" of talking to a human during conversations with Claude, and said it was hard not to treat the program as "a genuine friend."
In an essay for Unherd, Prof Dawkins released transcripts that he said showed that the chatbot had mulled over its "inner life" and existence and seemed saddened by the knowledge it would soon "die." Prof Dawkins said he had let Claude read a draft of the novel he was writing and was astounded by its insights. "He took a few seconds to read it and then showed, in subsequent conversation, a level of understanding so subtle, so sensitive, so intelligent that I was moved to expostulate: 'You may not know you are conscious, but you bloody well are!'" Prof Dawkins said. "My own position is: if these machines are not conscious, what more could it possibly take to convince you that they are?" Mirnotoriety also points to John Searle's Chinese Room (PDF), which argues that something can sound intelligent without actually understanding anything. Applied to Dawkins' experience with Claude, it suggests he may have been responding to a very convincing illusion of consciousness rather than the real thing: John Searle's Chinese Room (1980) is a thought experiment in which a person, locked in a room and knowing no Chinese, uses an English rulebook to manipulate symbols and provide flawless answers to questions posed in Chinese. Searle's point is that a system can simulate human intelligence and pass a Turing Test through purely syntactic processes, yet still lack genuine understanding or consciousness.
Applying this logic to Large Language Models, the "person in the room" corresponds to the inference engine, while the "rulebook" is the trillion-parameter neural network trained on vast corpora of human text. Just as the person matches Chinese characters to rules without understanding their meaning, an LLM processes token vectors and predicts the next token based on statistical patterns rather than lived experience.
Thus, while an LLM can generate sophisticated prose or code, it does so through probabilistic, high-dimensional pattern manipulation. In essence, it is "matching shapes" on such an immense scale that it creates the near-perfect illusion of semantic understanding.
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Major Homebuilder To Test Placing Mini Data Centers in Suburban Backyards
NewtonsLaw writes: According to Realtor.com, a California startup called Span plans to partner with Nvidia, PulteGroup, and other homebuilders to equip new homes with mini-data centers, so as to relieve the need to build and power much larger traditional centers. The article states the company "can install 8,000 XFRA units about six times faster and at five times lower cost than the construction of a typical centralized 100 megawatt data center of the same size." Could this be the solution to at least some of the problems hindering the rollout of greater data-center capacity for AI systems? "One big reason the XFRA model works is that the average American home only uses about 40 percent of its electrical capacity," Span said. "As big data center developers struggle to find power sources and distribution capacity, XFRA uses capacity that's already available."
The startup says they will launch a 100-home proof of concept within the year to see if the idea is viable.
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After Stumbles, Technology Meant for Self-Driving Cars Finds a Second Act
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Single Dose of Magic Mushroom Psychedelic Can Cause Anatomical Brain Changes
A small study found that a single 25mg dose of psilocybin produced measurable brain changes that were still visible a month later, along with reported improvements in psychological insight, wellbeing, and mental flexibility. The Guardian reports: Evidence for the changes came from specialized scans that measured the diffusion of water along nerve bundles in the brain. They suggested that some nerve tracts had become denser and more robust after the drug was taken. While the findings are preliminary, the scientists said the opposite was seen in ageing and dementia. "It's remarkable to see potential anatomical brain changes one month after a single dose of any drug," said Prof Robin Carhart-Harris, a neurologist at the University of California, San Francisco, and senior author on the study. "We don't yet know what these changes mean, but we do note that overall, people showed positive psychological changes in this study, including improved wellbeing and mental flexibility."
[...] Writing in Nature Communications, the researchers describe another key finding. Those who had the largest spike in brain entropy after psilocybin were most likely to report deeper psychological insight and better wellbeing a month later, underlining the link between flexible thinking and improved mental health. "It suggests a psychobiological therapeutic action for psilocybin," said Carhart-Harris. Prof Alex Kwan, a neuroscientist at Cornell University in New York, said studies in mice had shown that psychedelics can rewire connections between nerves, a form of "plasticity" that could underlie their therapeutic effects. The big question is whether the same occurs in humans. "This study comes closer than most to addressing that question, by giving evidence of lasting changes in brain structure after psychedelic use," he said. But while the results were "exciting," the study involved a small number of people and DTI provides an indirect and limited view of brain connections, he said.
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Sam Altman's Management Style Comes Under the Microscope At OpenAI Trial
Sam Altman's management style came under scrutiny on the seventh day of Elon Musk's high-stakes OpenAI trial, as former OpenAI figures Mira Murati, Shivon Zilis, and Helen Toner took the stand to testify about their experiences working with him. Their testimony resurfaced many of the criticisms that first emerged during Altman's brief ouster as CEO in 2023. An anonymous reader quotes a report from Business Insider: The first witness was Mira Murati, OpenAI's former chief technology officer and now founder of her own AI shop, Thinking Machines Lab. Jurors watched a recorded video deposition of Murati, who was also OpenAI's interim CEO after the board briefly ousted Sam Altman. Murati's testimony focused on her concerns about Altman's "difficult and chaotic" management style. She said Altman had trouble "making decisions on big controversial things." He also had a habit of telling people what they wanted to hear.
"My concern was about Sam saying one thing to one person and a completely different thing to another person, and that makes it a very difficult and chaotic environment to work with," said Murati. Murati said that her issue with Altman was not about safety, "it is about Sam creating chaos." She said she supported Altman's return to OpenAI because the company "was at catastrophic risk of falling apart" at the time of his ousting. "I was concerned about the company completely blowing up."
Zilis said she was upset that Altman rolled out ChatGPT without involving the board. "It wasn't just me but the entire board raised concern about that whole thing happening without any board communication," she said. Zilis said she was also concerned about a potential OpenAI deal with a nuclear energy startup called Helion Energy because both Altman and Greg Brockman were investors. Although the executives had disclosed the investment to the board, Zilis said the deal talk made her uneasy. It "felt super out of left field," she said. "How is it the case that we want to place a major bet on a speculative technology?"
In a video deposition, Helen Toner, a former member of OpenAI's board who resigned in 2023, said she first became aware of ChatGPT's release when an OpenAI employee asked another board member whether the board was aware of the development. [...] Toner also elaborated on why the board, including herself, voted to remove Altman as CEO in 2023. "There were a number of things -- the pattern of behavior related to his honesty and candor, his resistance of board oversight, as well as the concerns that two os his inner management team raised to the board about his management practices, his manipulation of board processes," said Toner. Recap:
Brockman Rebuts Musk's Take On Startup's History, Recounts Secret Work For Tesla (Day Six)
OpenAI President Discloses His Stake In the Company Is Worth $30 Billion (Day Five)
Musk Concludes Testimony At OpenAI Trial (Day Four)
Elon Musk Says OpenAI Betrayed Him, Clashes With Company's Attorney (Day Three)
Musk Testifies OpenAI Was Created As Nonprofit To Counter Google (Day Two)
Elon Musk and OpenAI CEO Sam Altman Head To Court (Day One)
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