Neural co-evolution - Unconventional AI
The hardware and software silos For the last 60 years or so, hardware and software have been largely considered separate disciplines. The application stacks began to grow complex, and software engineering became centered around managing complexity, interoperability, and extensibility. Without these practices, large-scale systems could never be designed to be reliable. Hardware,
Neural co-evolution - Unconventional AI Skip to content April 2, 2026 Research Neural co-evolution, the inevitability of hardware and software co-evolution for AI Written by: Carlos H. Morales , Peter McMahon , Srenik Mehta , Sriram Krishnamoorthy , Sara Achour , Michael Carbin , MeeLan Lee , Naveen Rao The hardware and software silos For the last 60 years or so, hardware and software have been largely considered separate disciplines. The application stacks began to grow complex, and software engineering became centered around managing complexity, interoperability, and extensibility. Without t
saved by
related reading
- Unconventional AIunconv.ai
- 2009.06489arxiv.org
- AI Chip Architecturesjacobpeake.com
- The Short Case for Nvidia Stock | YouTube Transcript Optimizeryoutubetranscriptoptimizer.com
- AI Chip Architecturesjepeake.com
- Why AGI Will Not Happen - Tim Dettmerstimdettmers.com
- Ushering in the Thermodynamic Future | Extropicextropic.ai
- Software 2.0. I sometimes see people refer to neural… | by Andrej Karpathy | Mediumkarpathy.medium.com
- TPU Deep Divehenryhmko.github.io
- My picture of the present in AI — LessWronglesswrong.com
- An Interview with MatX CEO Reiner Pope About LLM Chipschipstrat.com
- Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI computedwarkesh.com