AI Psychosis: Chatbots and Delusion

From the creator…What is AI psychosis? Clinicians and researchers are increasingly using the term to describe cases where people develop or strengthen psychotic symptoms, especially delusions, after prolonged use of AI chatbots. With increasing use of chatbots for therapy, and even AI “companions,” what does this mean?

Brett Cooper

I was NOT a fan when she was part of The Daily Wire. Not my thing at all. Now that she is on her own, I DO like her. I actually subscribed on YouTube.

It’s no secret that I am anti-religion. Here is a sample video, and it couldn’t be more different that the old days on DW. Give her a listen, she’s entertaining.

RSS and other feeds

Here are solid RSS feeds focused on zero-day (0-day) and actively exploitable vulnerabilities. True 0-days (unpatched, actively exploited or publicly disclosed with no fix yet) are rare and often appear first via coordinated disclosure programs, exploit databases, or known-exploited lists rather than generic CVE feeds.

zerodayinitiative.comTop recommendations for 0-day / exploitable issues

  • Zero Day Initiative (ZDI) – Upcoming Advisories
    https://www.zerodayinitiative.com/rss/upcoming/
    Excellent for early heads-up. Vulnerabilities appear here once the vendor is notified and the public-disclosure countdown starts (often before a patch or full advisory).
  • Zero Day Initiative (ZDI) – Published Advisories
    https://www.zerodayinitiative.com/rss/published/
    Released advisories (many involve high-impact bugs that started as 0-days).
  • ZDI Blog
    https://www.zerodayinitiative.com/blog?format=rss (or https://www.thezdi.com/blog?format=rss)
    Research write-ups, Pwn2Own results, and deeper analysis.
  • Exploit-DB
    https://www.exploit-db.com/rss.xml
    Public exploits, PoCs, and many 0-day / remote/local/webapp issues as they are published. Very practical for “exploitable right now.” community.emergingthreats.net
  • Full Disclosure mailing list
    https://seclists.org/rss/fulldisclosure.rss
    Raw researcher disclosures; frequently includes new or unpatched issues.

Known Exploited / high-priority (often recent 0-days that hit the wild)CISA’s official KEV RSS was discontinued, so use these maintained alternatives:

  • https://cisa.kevintel.com/rss.xml (community-maintained, updates frequently)
  • https://vulnerability.circl.lu/known-exploited-vulnerabilities.rss (or .atom)
  • CVEDatabase KEV additions: https://cvedatabase.com/feed/cve/kev

Other useful high-signal feeds

  • Talos Vulnerability Reports: https://www.talosintelligence.com/vulnerability_reports/feed
  • watchTowr Labs: https://labs.watchtowr.com/feed (or /rss/)
  • Critical/high CVEs (broader but useful filter):
    • https://cvedatabase.com/feed/cve/critical
    • https://cvedatabase.com/feed/cve/high
    • Recent CVEs: https://cvedatabase.com/feed/cve/recent

Quick tips

  • Subscribe to the ZDI upcoming + Exploit-DB + a KEV feed combination for the best coverage of true 0-days and actively exploited issues.
  • Use a good RSS reader (Feedly, Inoreader, NewsBlur, or a self-hosted option like FreshRSS/Tiny Tiny RSS) and apply keyword filters (e.g., “0-day”, “zero-day”, “RCE”, “unauthenticated”, high CVSS) if the volume is high.
  • Pair with X/Twitter lists of vulnerability researchers or Project Zero for the absolute earliest chatter, then cross-check the RSS items.
  • HITCON ZeroDay has some community RSS generators on GitHub if you want additional regional coverage, but the ones above are the most reliable mainstream sources.

These should keep you current without drowning in every low-severity CVE. Start with the ZDI upcoming and Exploit-DB feeds.

Claude Is Hiding Watermarks in Your AI Text (What It Actually Means)

Sometimes it’s good to look to some smaller channels to get a street level view of a current topic, and this is a HOT topic. Thanks to Kyle for this,

Anthropic says new Claude models launched in the EU must support machine-readable marking. That means embedded watermarks for generated text and signed provenance metadata for supported files…but the viral claim that every Claude response is already publicly detectable is too broad. There’s a lot of bad info going around.

I break down what Anthropic has actually committed to, how text watermarking differs from C2PA metadata, why a detected mark does not prove Claude authored the work, and why no mark does not prove a human wrote it. The technical documentation and public detection tools are still coming, so anyone claiming certainty about the exact implementation is getting ahead of the evidence.