Azamat Abdoullaev on LinkedIn: ChatGPT Isn't 'Hallucinating'—It's...
The best way to forecast the future is to create it. "Hallucinations" is the trendy word that people tend to use nowadays to refer to the made-up facts that appear in prose spun by ChatGPT and similar generative AI programs. But that misleads people, write philosopher Joe Slater and colleagues. Call it "bullshitting," a term they don't use lightly, as they explain.
Understanding AI Programs
OpenAI’s ChatGPT, Google’s Gemini chatbot, and Meta’s Llama all work in structurally similar ways. At their core is an LLM—a large language model. These models all make predictions about language. Given some input, ChatGPT will make some prediction about what should come next or what is an appropriate response. It does so through an analysis of enormous amounts of text (its "training data"). In ChatGPT’s case, the initial training data included billions of pages of text from the Internet.
Lack of Truth in Outputs
We can see from this description that nothing about the modeling ensures that the outputs accurately depict anything in the world. There is not much reason to think that the outputs are connected to any sort of internal representation at all. A well-trained chatbot will produce humanlike text, but nothing about the process checks that the text is true, which is why we strongly doubt an LLM really understands what it says.
The Best Ever Electronic Music Created by Man-Machine AI
The Technological Singularity
The Technological Singularity is the socio-technological-civilization bifurcation point when machine intelligence becomes hyper-intelligent undergoing hyperbolic growth. It is when an intelligence quantity I (t) grows towards a singularity under a finite variation (a "finite-time singularity").
The Impact of a Cybersecurity Attack
It looks like I had a "Blue Screen of Death" cybersecurity attack from cybersecurity firm CrowdStrike, updating or rather hacking computers running Microsoft Windows. The Microsoft global technology outage grounded flights, knocked banks and hospital systems offline, and media outlets off-air on Friday in a massive disruption that affected companies and services around the world and highlighted dependence on software from a handful of providers. Now, imagine what could happen with our monopolized digital world when all machines, equipment, devices, platforms, and networks will run large language models OS.
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