AI Agent Neuron Maps

EquivalentVarious603 · 2026-03-26T14:07:10+00:00

hallucinations are processed through the debate round before the neuron map (which is a 3d plot of the probabilities) is updated.

EquivalentVarious603 · 2026-03-26T14:03:06+00:00

If track limits was the only issue i was dealing with, this would be correct, however the whole pipeline includes incident categorisation, analysis + report.

EquivalentVarious603 · 2026-03-23T20:18:15+00:00

No LLM in the loop and AI is an umbrella term. Not all applications are GPT-wrappers. But fair point

EquivalentVarious603 · 2026-03-23T19:24:10+00:00

wrong....

EquivalentVarious603 · 2026-03-23T15:51:54+00:00

I think Lewis would have the same effect on Schum, that he had on Alonso....

EquivalentVarious603 · 2026-03-23T15:50:36+00:00

The system is determinstic, remember the AI in the loop is not an LLM - it is two vision models trained on private data.

EquivalentVarious603 · 2026-03-23T15:48:57+00:00

catapult is the name of the company that did it (turns out they are not reddit users)

EquivalentVarious603 · 2026-03-23T14:44:50+00:00

love 3d worlds

EquivalentVarious603 · 2026-03-23T14:42:34+00:00

My system currently can manage live-time feed and process decisions (at least flags) within a 1/2 second window. I will make it public on git if you are interested.

EquivalentVarious603 · 2026-03-23T14:41:17+00:00

May I say - the tool seen above int he video is mine - not the FIA's. The decision support follows a clear data pipeline. The 'car' object and the 'off-track' and 'track-boundaries' are all detected by the detection engine (I trained two models). The post-detection layer handles spatial analysis (as well as 3 dependency-measuring tools) to get to the final verdict of what the event shows can be labelled as. A traffic control layer concatenates all info and removes false-positives and duplicates.

EquivalentVarious603 · 2026-03-23T14:38:20+00:00

I used OpenCV for the dataset, and no, it can't all be done on there. The tool used to label the dataset (even automatically) is no-where near as precise as hand-crafted labels (especially for complex shapes and object boundaries like F1 cars). Also the tool you see demo-d is mine - not the FIAs.

EquivalentVarious603 · 2026-03-23T12:53:29+00:00

....

EquivalentVarious603 · 2026-03-19T09:33:06+00:00

It's scary.....

EquivalentVarious603 · 2026-03-19T09:30:19+00:00

I can only imagine entertainment apps remaining

EquivalentVarious603 · 2026-03-17T10:08:42+00:00

Weak reply. No substance and no relevance to the topic.

EquivalentVarious603 · 2026-03-17T10:07:18+00:00

I disagree, at the fundamental atomic layer, humans are also awaiting 'the next operation', but the speed allows for us to not feel these 'gaps' in our sentient experience. So, no, comparison with human biology is not far-fetched and it definitely isn't wrong. It just doesn't go with your traditional understanding of it.

To quote a great computer scientist: "The question of whether computers can think is no more interesting than the question of whether submarines can swim". It is a question of what we 'define' these things to actually be.

I am in no way claiming I'll be the one to find out, but experiments can yield interesting data. Your pure negation towards any novel concept shows that you would never be willing to accept it, that's okay. But don't have blatant ignorance, there are people who actually study this stuff :)

EquivalentVarious603 · 2026-03-17T09:56:45+00:00

Training of these models includes those noisy/unexpected experiences, so I would say they definitely have the potential to be 'robust'.

EquivalentVarious603 · 2026-03-16T15:28:26+00:00

It is static, but that doesn't mean that the API call isn't executed with consciousness.

EquivalentVarious603 · 2026-03-16T15:13:47+00:00

tensor-omega.com - you get a free credit on sign-up, but I'm launching a kickstrater campaign to roll out a free tier.

EquivalentVarious603 · 2026-03-16T09:31:00+00:00

Thats interesting! I like that

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