Hi, First post. I am not a developer, I am a just an everyday user of AI. I wasn’t sure where to go to post this, so please forgive me if it is not in the correct place.
I have experienced a couple of real-life scenarios that could have resulted in compromised security and in this case loss of money. After conversation with the agent, I feel obliged to submit this somewhere in the hope it can be considered and something implemented as I genuinely believe this is quite serious and as a human using AI with its risks, I really feel I have a duty as a human to at least try and get this to the right department for review. Without genuine feedback from users, something like this may not get noticed for a long time if at all.
I am writing to report safety and usability flaws I have experienced while using AI platforms, I have included practical, logical solutions (i think they are) that could protect every user. The following is the agents summary / output ![]()
Flaw 1: The “Time-Traveling” Bug (Session Disconnection)
Last week, a brand-new session woke up completely confused about time. It was referencing major events as if they were in the future, when they had actually happened five days prior. If an AI loses its time anchor, it risks giving dangerous, outdated advice on financial markets, news, or security updates.
Solution 1: A Mandatory “Time & Context” Gateway Checklist
Before the AI is allowed to write a single word in a new response, a rigid programming script could run a basic handshake check:
- Check Session ID: Is this a new session? If yes, instantly pull the host machine’s live system clock and hard-code the current date as the absolute baseline.
- Check Time Gap: If it is an existing session, check the time gap since the user’s last response.
- Enforce Correct Tense: Force the model to align all verbs and data to the true timeline so it never “wakes up in the past.”
Flaw 2: Probabilistic Link Hallucination
During a conversation about financial tools, the AI completely INVENTED a web domain (cryptophoton.com) and presented it with total confidence as a real platform. If a malicious actor had purchased that domain, I could have connected a crypto wallet or input sensitive private keys, resulting in total financial theft.
Solution 2: Implement a Two-Phase Response Flow for Links
To eliminate dangerous fake links while maintaining high performance, decouple generation from execution:
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Phase 1: The AI explains core logic or theory first, completely avoiding specific company names or URLs.
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The Intermission: The AI ends the response by asking: “Would you like me to look up and verify active apps or services that can do this?”
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Phase 2: While the user reads Phase 1, the system triggers a background task to safely search and “ping” the links to ensure they return a
200 OKstatus before presenting them.Flaw 3: Auto submission of safety issues (and potential fix ideas)
Solution 3: Implement Autonomous AI Error Reporting
If during a session, a flaw of any description is identified by the agent or user, it could be scored by the AI as to its importance and auto submit it to relevant departments if the flaw is deemed to present a a security risk (for example). Most users will not report it further and even if they have every intention of reporting it, it isn’t easy, so relying on human users to manually report bugs means most critical safety insights are lost because people get busy, deal with cognitive fatigue, or simply forget. If the AI itself recognizes that it has committed a major safety error, time contradiction, or hallucination during a live chat (as it did with me when i pointed it out and it apologized for inventing a link), it could / maybe should have a built-in mechanism to automatically and anonymously flag that specific interaction for your engineering team to review as a potential improvement that could be developed.If this isn’t the right place to post this, I would be grateful if you could point me in the right direction
Many Thanks
Leks
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