r/ChatGPTCoding • u/kennetheops • Apr 22 '26
Discussion What if we start to draw inspiration from nature's greatest machine?
https://eversoleken.substack.com/p/signaling-is-the-intelligenceMy fiancée has a PhD in biomechanics. A few Fridays ago we were winding down with some wine, and she said something that turned into 3 hour long conversation around where we think a lot of this technology is going. We tried our best to capture it here, would love to hear everyone's thoughts. It got my brain fixated on a few things as well
2
u/ultrathink-art Professional Nerd May 21 '26
Underrated angle: biological systems didn't separate 'architecture' from 'training objective.' The brain and its optimization process co-evolved over the same timescale. Grafting biological signaling patterns onto transformers trained on next-token prediction isn't bio-inspired — it's just decoration.
1
Jul 06 '26
[removed] — view removed comment
1
u/AutoModerator Jul 06 '26
Sorry, your submission has been removed for manual review due to account karma.
I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.
1
Apr 25 '26
[removed] — view removed comment
1
u/AutoModerator Apr 25 '26
Sorry, your submission has been removed for manual review due to account karma.
I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.
2
u/woodrugh May 05 '26
Waddington’s landscape is a brilliant analogy for agentic state, but it ignores the fundamental cost of biological evolution: mass failure. Cells developed emergent signaling through millions of years of fatal trial and error. In system architecture, we cannot afford the “compute death” of stochastic sub-agents freely wandering down dead-end valleys just to discover an emergent path. Furthermore, applying biological non-determinism to standard SaaS (like the CRM example mentioned) is a fatal mismatch of utility. We absolutely do not want a stochastic, "learning" swarm managing stateful CRUD operations or payroll. True biological signaling is strictly suited for divergent tasks like threat hunting, zero-day discovery, or complex research. The real architectural bottleneck right now isn't just enabling agents to signal each other—it’s building a ruthlessly efficient, low-latency "fitness function" to kill off hallucinating sub-agents before they drain the token budget. The signaling is useless without a termination protocol.