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As proven by recent past experience, hiw could you prove the facts Pfizer covid jabs prevent getting Covid.Question to Chat-GPT:-
how do you as an AI validate the data you rely on to answer questions?
ChatGPT said:
That's an excellent and important question.
As an AI, I don’t "validate" data in the traditional sense that a human might (by cross-checking sources, understanding context in a subjective way, or applying real-world judgment). Instead, I rely on a combination of training data, built-in mechanisms, and user prompts to generate accurate, relevant answers.
Here’s how that works in practice:
My responses are based on patterns learned from:
1. Training on curated data
The data was filtered and curated during training by OpenAI to remove known misinformation, low-quality content, and unsafe material. This gives me a strong foundation — but it's still just a model of language patterns, not an index of verified facts.
- Books, articles, websites, manuals
- Academic sources and documentation
- Reputable online communities (e.g., Stack Overflow, Wikipedia, government and scientific sites)
I don’t quote specific sources unless asked, but I can generalize from many during training. So if 99 out of 100 tutorials say “C++ uses RAII for memory management,” I’ll reflect that consensus — effectively surfacing the statistical majority of expert guidance.
2. Cross-source pattern recognition
That said, I don’t know if something is “true”, only that it is strongly supported by the data I was trained on.
When I detect that a question:
3. Built-in constraints and refusal policies
I’m programmed to respond carefully, include disclaimers, or refuse to answer outright. That’s part of how OpenAI enforces responsible AI usage.
- Requires real-time data (like weather or current news),
- Involves medical/legal/financial decisions, or
- Could lead to unsafe actions (e.g., bypassing safety mechanisms),
If you’re using a version of ChatGPT with web access enabled (like GPT-4 with browsing), I can:
4. Tool use for validation (when enabled)
I’ll always say when I’m using a live source.
- Search the internet in real time
- Open and extract information from live pages
- Validate or update my responses when needed
If you tell me, “That’s incorrect” or “Source X disagrees,” I can reconsider the logic or offer alternative perspectives — and OpenAI uses user feedback at scale to retrain and fine-tune future models.
5. User feedback and refinement
Summary
Method Role in Data Validation Training on curated data Ensures broad accuracy and consensus-based knowledge Pattern recognition Finds reliable language patterns across thousands of sources Refusal and guardrails Avoids unsupported or dangerous suggestions Web access (if enabled) Lets me fetch and cross-check current or niche information Feedback loop Allows refinement based on what users point out or correct
Let me know if you'd like to see how I check specific kinds of information (e.g., verifying code, scientific claims, or legal rules).
At the time, all media and government sources, accredited sources were assuming that true, saying anything else was being a conspiracy theory addict.
I hope by now any sensible person know it is not true and was not, yet was known as wrong.
How would AI deal with that?
Worse AI is now generating data and articles self creating a loop feedback .
There is nothing preventing AI to start believing..for extreme example..in Scientology..
why not, then within a few years, AI will have decided it is THE truth, and all other options will be discarded, all search results switch accordingly and any disagreeing article source tagged as fake news.
You now understand why no government is ever going to try to stop that, they will try to leverage it..
Sorry maybe the Swiss....