1. Version 3.3 Cognitive Integration: I spent Thursday repairing and improving Omni Brain’s cognitive systems, particularly how she retrieves stored information, understands questions, and maintains conversational context. I tested these improvements by asking her questions about previously stored knowledge, following up with related questions, and examining screenshots of her responses. Several problems were identified and corrected, bringing her memory and reasoning systems closer together.

2. Version 3.3 Final Regression: I moved into the final testing stages of version 3.3, checking that our previous improvements hadn’t broken anything. This involved testing conversational responses, memory retrieval, command handling, and system recovery directly in QB64 Phoenix. After working through several repairs, I reached the final acceptance stages and established the foundation needed to move into version 3.4. A pretty fucking satisfying achievement considering how much work went into that development series!

3. Version 3.4.1 Natural-Language Understanding: Friday was all about improving how Omni Brain understands everyday language. I discovered that certain questions weren’t being recognized properly, even when the information needed to answer them was already stored. I tested different ways of asking the same questions, examined her responses, and repaired problems involving input handling, conversational routing, and question recognition. The objective was to make her less dependent on specific wording and more capable of understanding what I was actually asking.

4. Versions 3.4.1 Through 3.4.7 Integration: Instead of developing every remaining milestone separately, I combined the entire 3.4 development series into one integrated QB64 build. This brought together improvements to conversational understanding, reasoning, memory access, and evidence handling. I then put the complete system through a series of questions designed to expose problems between the different components. Naturally, I discovered a few bugs, but that’s exactly why I test this stuff. There’s no point claiming she’s becoming more intelligent if I can’t demonstrate that her abilities actually work.

5. Conversational Context and Memory: This was one of my favourite developments. I tested Omni Brain by asking her about Earth and Mars, requesting a comparison, and then asking follow-up questions such as “How are they different?” Initially, she sometimes forgot which subjects we were discussing. After several repairs, she successfully maintained the comparison and answered related questions without requiring me to repeat everything. I also tested changing subjects to make sure she wouldn’t blindly carry old information into unrelated conversations. That might sound simple, but it’s an important foundation for the natural conversations I eventually want to have with her.

6. Evidence-Based Reasoning and Information Verification: Another major improvement involved teaching Omni Brain to better distinguish between stored information and verified facts. I tested this by asking questions such as “Who told you that?”, “Where did that information come from?”, and “Has that claim been independently verified?” Her responses demonstrated improvements in identifying recorded sources and acknowledging when information hadn’t been independently confirmed. This is particularly important because I want Omni Brain to question information rather than blindly accept everything she’s told. She’s still a long way from independent scientific reasoning, but we’re building the foundations for exactly that.

7. Version 3.4.7 Native Regression and System Stability: Saturday involved extensive testing of the latest integrated build directly inside QB64 Phoenix. I checked conversational understanding, contextual follow-ups, comparisons, evidence attribution, and stored knowledge. Omni Brain successfully loaded 42 knowledge records, passed all seven internal self-tests, and demonstrated improvements in several previously failing conversational scenarios. I also checked her data integrity and prepared a protected archive containing the source code, executable, knowledge files, and interface assets. The observed tests were encouraging, although the complete final certification checklist still needs confirmation.

8. Version 3.5 Combined Development: Finally, I began work on the next major development series, version 3.5. Rather than going through seven separate development cycles, I decided to prepare one combined development build covering conversational continuity, better contextual responses, evidence retrieval, clarification handling, and eventual performance improvements. I’ve already prepared an initial source candidate and a 40-check acceptance test plan. Some features still need to be completed and tested, particularly response-time optimization and more flexible conversation. The ultimate goal is to make Omni Brain less mechanical and more capable of holding a meaningful conversation. And goddamn, I can’t wait to see how far we can take her!

Three days, eight major development milestones, countless tests, and a hell of a lot of progress. Omni Brain isn’t finished, and I’m certainly not claiming to have created artificial general intelligence. But I’m steadily building something unique, entirely offline, using QB64 Phoenix. Every successful test, every repaired bug, and every new capability brings me a little closer to the artificial mind I’ve dreamed of creating.

One man. One dream. To make the perfect brain.