Chapter
The Impact of Wolfram Language in R&D
2:29:32 - 2:40:17 (10:44)
Stephen Wolfram discusses the impact of his computer programming language, Wolfram Language, in the market of high-end R&D and impressing smart people, while also admitting to not prioritizing commercialization.
Clips
Wolfram Language has existed for 33 years, but has a high market penetration in the R&D community due to its emphasis on technical excellence rather than commercialization.
2:29:32 - 2:35:13 (05:41)
Summary
Wolfram Language has existed for 33 years, but has a high market penetration in the R&D community due to its emphasis on technical excellence rather than commercialization.
ChapterThe Impact of Wolfram Language in R&D
Episode#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics
PodcastLex Fridman Podcast
Stephen Wolfram speaks about how he built his knowledge base, Wolfram Alpha, and how he overcame his fear of taking on the challenge due to assumptions about the required general AI problem.
2:35:14 - 2:36:27 (01:12)
Summary
Stephen Wolfram speaks about how he built his knowledge base, Wolfram Alpha, and how he overcame his fear of taking on the challenge due to assumptions about the required general AI problem.
ChapterThe Impact of Wolfram Language in R&D
Episode#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics
PodcastLex Fridman Podcast
Stephen Wolfram talks about his goal of ingesting all the information present in a reference library to create a computable knowledge base, and the initial challenges of building such a system.
2:36:27 - 2:37:36 (01:09)
Summary
Stephen Wolfram talks about his goal of ingesting all the information present in a reference library to create a computable knowledge base, and the initial challenges of building such a system.
ChapterThe Impact of Wolfram Language in R&D
Episode#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics
PodcastLex Fridman Podcast
AI progress has been largely achieved through problem-solving, which has allowed experts to collaborate and provide input.
2:37:36 - 2:40:17 (02:40)
Summary
AI progress has been largely achieved through problem-solving, which has allowed experts to collaborate and provide input. AI developers were able to solve big problems by focusing on smaller issues, such as medical and chemistry, and getting input from world-renowned experts.