The AI being discussed is not, strictly speaking, human intelligence.
Resolved true The record shows it happened or was so.
Factual: Statements about the present or the past, checked against the record: did they hold up?
What would count as true or false
Judged as of 2023-06-12. True: the AI systems being discussed (e.g. large language models) are machine systems, not human intelligence, which is the consensus of computer science and cognitive science. Mostly true: this holds, with a minor quibble (e.g. the systems are trained on human-generated data). Mixed or mostly false would apply only if credible expert consensus held these systems to be human intelligence in some substantive sense. False: the evidence shows the AI discussed is in fact human intelligence (e.g. humans secretly doing the work).
Set before the research began.
Evidence (4)
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E1 How Can the Current State of AI Guide Future Conversations of General Intelligence? PMC (National Center for Biotechnology Information) · 20 March 2024
“Current LLMs are trained by next-token prediction with giant models on very large amounts of data.”
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E2 What is Artificial General Intelligence (AGI)? | IBM IBM · 17 September 2024
“Artificial general intelligence (AGI) is a hypothetical stage in the development of machine learning (ML) in which an artificial intelligence (AI) system can match or exceed the cognitive abilities of human beings across any task.”
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E3 How Can the Current State of AI Guide Future Conversations of General Intelligence? PMC (National Center for Biotechnology Information) · 20 March 2024
“Having vastly more storage, computing power, and speed is often the enabler, allowing for methodologies that humans may not consider true intelligence.”
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E4 Behind ChatGPT’s Success: Investigating Worker Exploitation: My Interview in ‘La Via Libera’ (June 30, 2023) | Antonio A. Casilli Antonio A. Casilli (personal academic blog) · 30 June 2023
“Even ChatGPT, OpenAI’s celebrated chatbot, owes its capabilities to human intervention.”
Reasoning
Independent technical descriptions say current LLMs are large models trained by next-token prediction on very large datasets (E1). They also say these systems rely on storage and compute advantages, using methods that differ from human intelligence (E3). That makes them machine systems, not human intelligence. E4 says ChatGPT's capabilities depend on human intervention, but it does not show that the AI itself is human intelligence. So E4 is at most the kind of minor quibble the criteria anticipate, and it does not change the verdict.
Cite this claim
Marc Andreessen, “The AI being discussed is not, strictly speaking, human intelligence.” (said 12 June 2023). Verdict: resolved true. Reliability API, claim c_f8090c1884ab, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_f8090c1884ab
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Marc Andreessen
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Mixed
“Basically, within less than 12 months, four or five Chinese companies have caught up to the industry front - line.”
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Mostly true
“It's completely open - source, and anyone can download and run it.”
The DeepSeek model is completely open-source and anyone can download and run it.
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Mostly true
“The idea of neural networks was explored by a small group of people for 80 years.”
Neural networks were explored by a small group of people for about 80 years.
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Mostly true
“When I was in college in the 1980s, AI was a niche field, and everyone thought it would never come true.”
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Resolved true
“If you track the capabilities of cutting - edge models over time, you'll find that after 6 or 12 months, there will be a small model with the same capabilities.”
Verdicts are made automatically; how verdicts are made.