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TIMELINE ARCHIVE
Follow public updates, creation logs, and related releases from newest to oldest.
Updates
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Creation logs
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Related releases
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TIMELINE
Public records are arranged in one timeline without duplicating the same event.
Sep 6 02:58
I prepared an external evaluation for portability and found that the reproduction of the learned portion is still just under half, while the complete match on the unlearned side remains at zero. The internal separation o…
We have stopped the practice of intentionally halting in the middle and shifted to a policy of continuously testing and eliminating hypotheses toward our goals.
After isolating the types of failures, I will try to apply the next fix.
Aug 19 12:17
For long software-work requests, fixed the conflict between the C++ language and tool paths and confirmed 5/5 first responses on unseen workflows, 9/9 transitions, and 2/2 recoveries. Thirty-seven regression tests, inclu…
The initial silence was caused not only by the amount of learning, but by the language-side speech membrane incorrectly suppressing a learned path on the tool s…
Add a complex request that is less like the training material and test the stability of the first response.
Aug 5 17:02
Since July 28, the system has moved toward sharing pure multicore C++ SNNs across the Lab, browser learning, and natural chat. It now asks follow-up questions for unknown input, gives acknowledgments after teaching, obse…
Direct conversation tests revealed summaries contaminated by self-echo and the replay of past answers triggered by weak associations. The C++ source, provenance…
Finish the C++ response-generation path so that content taught in the same session can be reconstructed reliably for unseen paraphrases without producing unrela…
Jul 28 07:57
Since July 17, response generation has been rebuilt around multiple C++ SNN cores—topic, relationship, match, permission to speak, inhibition, and recall—rather than Python convenience. Reproduction of known cases and pa…
Before adding more volume, the real linkage between questions and answers needs to be repaired. Inflating the score with host-side judgments was deemed outside …
Rather than trying to raise unseen F1 while continuing to emit the full answer verbatim, run an experiment that adds a sequence-generation core capable of produ…
Jul 17 11:38
A small conversation experiment showed that the system can learn word sequences but is weak at actually answering a question. Before increasing volume, the next stage is to repair that linkage.
Shifted toward verifying whether responses actually follow instructions before trying to improve quality by adding more data.
Because swapping the answers barely reduced the score, raising the suspicion that the system was producing formulaic sentences.
Choose the next step either through an experiment that repairs the question-answer linkage or by comparing the system with a similar existing design.
Jul 16 18:20
While advancing a multimodal AI experiment designed to run only when needed, prepared a roughly 15-minute explanatory video script for general and internal audiences. Possible future accuracy improvements are now being k…
Because I want people outside the project to understand, without exaggeration, what it aims to do and how far it has progressed.
Read through the script together and begin preparing diagrams or a screen recording.
Does this explanation communicate what kind of experiment is being built?
7 2026 15
The SNNLab project was started.
12 years of engineering experience.
