The Bitter Lesson (2919) by Rich Sutton explores a recurring pattern in the history of AI research, arguing that general methods leveraging massive computation are ultimately more effective than those relying on human-encoded domain knowledge. While incorporating human intuition can provide short-term gains, long-term breakthroughs are consistently driven by scaling computational power through search and learning as described by Moore's Law.
Key observations include:
- The historical shift in chess, Go, speech recognition, and computer vision from rule-based or human-centric models toward massive computation.
- The tendency for researchers to favor methods that reflect human understanding, which often plateaus compared to scalable learning processes.
- The necessity of developing meta-methods capable of discovering complex patterns rather than hardcoding existing human perceptions into agents.
The Computer History Museum in Mountain View has received approximately $14 million from Mad Scientists Anonymous to renovate its computer graphics gallery and preserve the collection of Autodesk co-founder John W. Walker. The funds will support the creation of the John and Roxie Walker Computer Graphics, Music & Art Gallery, scheduled to open in spring 2027. This project aims to showcase the evolution of digital design through storytelling and projection mapping while making Walker’s historical documents available for research via museum archives and a digital portal.
- Renovation of the computer graphics gallery
- Preservation and digitization of John W. Walker's professional collection
- Establishment of an endowment to support future rotating exhibitions
This discussion focuses on the technical efforts to emulate and potentially hardware-reimplement Marvin Minsky’s 2500 computer. Users share resources including a GitHub emulator (`simh/tt2500`) capable of running SITS (Small Incompatible Timesharing System), as well as schematics and SUDS drawings that have been cleared for public viewing. The conversation explores the complexities of recreating the hardware, such as the difficult vector display components, and notes how modern simulation software like "Digital" can be used to model the original design using its existing component libraries.
**Facts Uncovered:**
* **Emulator Availability:** A `simh/tt2500` emulator is available on GitHub for running SITS (Small Incompatible Timesharing System).
* **Documentation:** Schematics and SUDS drawings have been made available to the public following permission requests.
* **Hardware Challenges:** Replicating the vector display is identified as one of the most complicated aspects of a hardware implementation.
* **Obscure Components:** Original parts mentioned include 2507 flip-flops (with shared register enable), an AOI gate (7464), and six-bit 3-state buffer chips.
* **Simulation Tools:** "Digital," a Java-based simulator, is being used to assist in reimplementing the design's components.
A reference manual for the extensible, customizable, self-documenting real-time display editor. This manual corresponds to EMACS version 162.
Report of investigations of computing/video setting for unstructured collaborative work among people separated by space and time.
The 'Books' page of FelsenSigns presents a book titled 'Me and My Big Ideas – Counterculture, Social Media, and the Future'. The book chronicles the author's journey through the evolution of social media from the 1960s to the 1980s, exploring its origins, politics, and the need for better information exchange. The author hopes to educate readers on how social media was structured for corporate benefit and how it can be reimagined for societal good.
Lee Felsenstein, a key figure in the evolution of personal computers, explores the rise of social media, AI’s shortcomings, and the golden age of engineering in his new book.
- Introduction by Sid Kasivajhula
- Gerald Sussman: Teaching People Thinking: Programming and Powerful Ideas (3:00)
- Hạl Abelson: From Computational Thinking to Computational Action (18:50)
- Questions (33:40)