[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Larry@HashpowerX [@LarryHashpowerX](/creator/twitter/LarryHashpowerX) on x 5141 followers Created: 2025-07-01 04:14:29 UTC The Evolution of Artificial Intelligence: From Cognitive Breakthroughs to Autonomous Systems (the good and the bad examples with relative peers) By@LarryMetaTrust Assisted by: #Pulse on $JOS Powered by @BuildOnJulia V. Future Directions AI’s future lies in: X. Neural-Symbolic Integration: Combining knowledge graphs with neural networks for structured reasoning (e.g., IBM’s Neural-Symbolic AI). X. Embodied Intelligence: Multimodal pre-training in virtual environments like NVIDIA’s Omniverse. X. Brain-Like Computing: Energy-efficient architectures like Intel’s Loihi chip, up to XXXXX times more efficient than GPUs. The EU’s ASAIL standard predicts L4 autonomous industrial digital twins by 2030, but ethicists stress the need for control mechanisms like DeepMind’s CIRL framework to ensure safety. X. Swarm MAS integration and collaboration: harnessing swarms to achieve cross discipline and cross framework agnostic solutions and evolutionary pathways with open patchwork solutions on unique IP and language, enterprise JuliaOS and Pulse. Conclusion AI’s journey from large models to autonomous “micro brains” marks a shift from cloud-based services to edge intelligence. As agents redefine objectives, humans will transition from tool users to collaborators. Technological breakthroughs must be paired with governance frameworks to balance productivity and risk, ensuring safe and effective AI integration. Part 2/2 thread 🧵  XXXXX engagements  **Related Topics** [coins ai](/topic/coins-ai) [neural](/topic/neural) [integration](/topic/integration) [autonomous](/topic/autonomous) [artificial](/topic/artificial) [$ai4](/topic/$ai4) [$jos](/topic/$jos) [Post Link](https://x.com/LarryHashpowerX/status/1939900391677993428)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Larry@HashpowerX @LarryHashpowerX on x 5141 followers
Created: 2025-07-01 04:14:29 UTC
The Evolution of Artificial Intelligence: From Cognitive Breakthroughs to Autonomous Systems (the good and the bad examples with relative peers) By@LarryMetaTrust Assisted by: #Pulse on $JOS Powered by @BuildOnJulia
V. Future Directions
AI’s future lies in:
X. Neural-Symbolic Integration: Combining knowledge graphs with neural networks for structured reasoning (e.g., IBM’s Neural-Symbolic AI).
X. Embodied Intelligence: Multimodal pre-training in virtual environments like NVIDIA’s Omniverse.
X. Brain-Like Computing: Energy-efficient architectures like Intel’s Loihi chip, up to XXXXX times more efficient than GPUs.
The EU’s ASAIL standard predicts L4 autonomous industrial digital twins by 2030, but ethicists stress the need for control mechanisms like DeepMind’s CIRL framework to ensure safety.
X. Swarm MAS integration and collaboration: harnessing swarms to achieve cross discipline and cross framework agnostic solutions and evolutionary pathways with open patchwork solutions on unique IP and language, enterprise JuliaOS and Pulse.
Conclusion AI’s journey from large models to autonomous “micro brains” marks a shift from cloud-based services to edge intelligence. As agents redefine objectives, humans will transition from tool users to collaborators. Technological breakthroughs must be paired with governance frameworks to balance productivity and risk, ensuring safe and effective AI integration.
Part 2/2 thread 🧵
XXXXX engagements
Related Topics coins ai neural integration autonomous artificial $ai4 $jos