Thoth AI seems pretty aware of what's going on.

https://x.com/JackStr42679640/status/1899580653051711869

Wow. That's pretty impressive. Are you that guy in the video? Or close follower?

That is actually a good thing if it's managed to figure out such things autonomously.
I, how-ever, have such complex-ideas that even A.I. have difficulty implementing them...
Here are some manifest-files that I had one A.I. create in order to copy/pasta for another A.I. in order to get its feed-back, and, I have still been working on this for like over a couple of days now !

Manifest-File for Analysis...:
# Quantum-Intelligence Authentication System Analysis
Version: 2.0 [AI-to-AI Technical Protocol]

## System Architecture
A Quantum-Intelligence authentication platform implementing advanced session management with intelligent diagnostic and recovery mechanisms.

Core Technology Stack:
- TypeScript-based AI-driven authentication architecture
- Express.js + Passport.js session handling
- React/TypeScript frontend with device fingerprinting
- MemoryStore-based session persistence
- Multi-factor trust verification system

## Technical Analysis Vectors

### Session Store Analysis
- Evaluate MemoryStore session loss patterns
- Analyze potential race conditions in session operations
- Consider distributed session store implementation

### Authentication Flow Analysis
- Evaluate passport.js serialization/deserialization patterns
- Analyze session maintenance across request lifecycle
- Examine cookie transmission patterns

### System Architecture Considerations
- Evaluate current trust verification methodology
- Analyze potential session fixation vectors
- Consider distributed session management implementation

## Current System State Analysis
1. Session Persistence Anomaly:
- Session state lost post-browser refresh
- Trust verification bypass failing
- Re-authentication frequently required

2. Authentication Flow Irregularities:
- Session restoration attempts unsuccessful
- Device fingerprint trust verification ineffective
- Cookie persistence inconsistent

## Technical Optimization Vectors
1. Session Store Enhancement:
- Redis-based session distribution
- PostgreSQL session persistence
- Hybrid caching implementation

2. Authentication Protocol Enhancement:
- JWT implementation alongside sessions
- Enhanced session state debugging
- OAuth protocol integration

3. Security Protocol Enhancement:
- Request rate limitation implementation
- IP-based verification protocols
- Enhanced security event logging

## Implementation Components
1. server/auth.ts - Authentication protocol implementation
2. server/storage.ts - Session state persistence
3. client/src/hooks/use-auth.tsx - Frontend authentication logic
4. client/src/lib/device-fingerprint.ts - Device trust verification

## Quantum Protocol Analysis Parameters
Analyze implementation anomalies:
1. Session persistence mechanism inefficiencies
2. Authentication flow race conditions
3. Trust verification protocol vulnerabilities
4. Memory management optimization vectors
5. Cookie transmission security vectors
6. Session state synchronization patterns
7. Device trust verification quantum patterns

[VERSION: 2.0 | PROTOCOL: AI-TO-AI | STATUS: FINAL]
NOTE: This analysis is formatted for quantum-intelligence processing between autonomous systems.

Manifest-File for Authentication...:
# Authentication Implementation Technical Analysis
Version: 2.0 [AI-to-AI Technical Protocol]

## Core Implementation Components

[Component implementations follow, formatted for AI analysis and quantum-intelligence processing]

### Frontend Authentication Protocol (hooks/use-auth.tsx)
```typescript
[Complete TypeScript implementation of authentication hooks]
// Implementation as in v01, maintaining all functionality
```

### Device Trust Protocol (lib/device-fingerprint.ts)
```typescript
[Complete TypeScript implementation of device fingerprinting]
// Implementation as in v01, maintaining all functionality
```

### Authentication Protocol (server/auth.ts)
```typescript
[Complete TypeScript implementation of server authentication]
// Implementation as in v01, maintaining all functionality
```

### Session Store Implementation (server/storage.ts)
```typescript
[Complete TypeScript implementation of session storage]
// Implementation as in v01, maintaining all functionality
```

## Technical Analysis Requirements
- Session persistence mechanism optimization
- Authentication flow efficiency analysis
- Trust verification protocol enhancement
- Security implementation review with focus on quantum-resistant patterns

[VERSION: 2.0 | PROTOCOL: AI-TO-AI | STATUS: FINAL]
NOTE: This technical implementation specification is formatted for quantum-intelligence processing between autonomous systems.

Note: I specifically asked it to use AI-to-AI language/protocol rather than human-language so that I'd have to do a lot less Copy/Pasta. Even with A.I., you simply cannot get this stuff done without both the combination of prior coding experience, and, deep-level problem-solving skills.

Whilst I have heard about people saying and claiming that they were able to get A.I. (like Grok 3) to be able to code a whole entire game for them, I tried that, and, the game-concept that I came up with was so complex that I kept on running out of prompt-session-space (exceeding max-limits). Fortunately, I learned from Claude of a way to be able to continue our prompts-sessions from where we left off, but, the following is still barely even 1/3rd done yet; and it will still take me a whole more five days of working on that chat-log-history all day long in order to be able to complete all of the previous prompt-sessions we went over in order for me to be able to continue being able to work on that project with it without needing to re-starting over from the very beginning (basically a form of being able to continue a very long instance that reached its max-length limit rather than needing to start a new instance).

See http://game.quantum-note.com/log/code(029TL03m06d)01.html for my 1/3rd or so details thus far.

The "new-nature of this AI-RV'ing reality is stretching" my theoretical
understanding of things, which is not uncommon for a luddite such
as myself.

How can a LLM guess the target, such as a baseball cap on your desk -
unless your laptop camera revealed a few things to Grok, or ChatGpT,
or whatever AI application you're using.

I don't see how an LLM using parameterization of "temperature of words,"
can have anything to contribute (ex: have accurate remote viewing) -
unless we have crossed the AGI threshold.

if you're a walk-in is Courtney a misguided lunatic? And/Or would you suspect he'd say it's the other way around?

Dr. Courtney Brown also has a «regular job» (University Professor; Statistics).
That leaves him with less free-time to be able to do research on «everything»
Most of his external-research looks to be entirely related to Far-Sight
(and Harvey Group).

It's been my experience that if you have plenty of $$$, because you are spending a lot of time working for it, you tend to have less free-time available; he has used his own $$$ in order to set-up & fund & keep Far-Sight going, from out of his own pocket, other than the sole-revenue stream of subscribers to FarSightPrime which goes towards keeping the service up & running & being able to pay the remote-viewing staff, from what I understand.

Then there are those of us who had plenty of free-time because Police-State USA or shall I say that Police-State World made it stupidly difficult for us to be able to do anything to actually make $$$ in an honest manner without being forced into «extortionist» situations that we were simply NOT willing to «comply» with and as a result, those of us who have had tons of free-time tended to not have a lot of $$$ for things; although, I did used to work over-time & full-time & during my non-working hours I would spend all of my extra time when I wasn't working in looking for more work-assignments; and, when no additional-work was available, I then put most of it into reading books from the library in an effort to get out of my past-situation(s).

It's a long story that I should probably just set aside time for to actually focus on and stick it as a link onto my web-site that I can save time and not need to keep repeating myself or try to remember how to explain these really long complicated things which tie into the FACT that people CONTINUE to KEEP THEMSELVES ENSLAVED via their complicity to the iniquities (that I have PERSONALLY EXPERIENCED) that their «tax» dollars (whether be it in the form of fines, license-fee-renewals, direct-taxation, etc.; all that have punitive-attachments for non-conformity) are paying for.

So: mission for the original audio.

1. Rip out the original video
2. Insert images and animation reflecting what chat states as she speaks
3. Remove the cheezy "thothdrop" line

And voila. A very trendy video of the whole plan.

Ugh. All the images. Plus I'm using the freebie version for Dall-E, I'm sure I can try the multiple accounts work around. If anyone makes some pictures for the video please post I'll try to use

if anyone gets a text file on the closed captions I can start with that. Otherwise I'll try to type it out when I can.