If only there was a service that could watch a 2 hour video and give you a detailed answer to this question in a few seconds just by asking it… soon enough I guess.
Feeding the output of a transcription service (e.g. https://youtubetranscript.com/?v=G4hL5Om4IJ4 ) into an llm for specific requests should be possible, likely in multiple steps to handle context limitations
Gemini does that already. Here's the output when asked what is Keller's philosophy given that youtube interview:
According to the video, Keller’s philosophy emphasizes the importance of both theory and engineering in the field of computer science. He believes that theory provides a foundation for understanding how things work, while engineering is the practical application of that knowledge. He argues that both are essential for making progress in the field.
Keller also emphasizes the importance of craftsmanship and attention to detail. He believes that the best engineers are those who take pride in their work and are constantly striving to improve it. He believes that this is essential for building high-quality, reliable computer systems.
Finally, Keller believes that it is important to be open to new ideas and to be willing to experiment. He believes that this is the best way to make progress in the field of computer science.
Here are some specific examples from the podcast that support Keller's philosophy:
- Keller discusses the importance of theory in the development of branch prediction, a key technique for improving computer performance. He explains that while the basic idea behind branch prediction was known for many years, it was only through theoretical advances that it was possible to develop a practical implementation.
- Keller also discusses the importance of engineering in the development of the Alpha 21264 microprocessor. He explains that while the chip was a groundbreaking design, it also had some flaws that were only discovered after it was released. He says that these flaws could have been avoided if the engineers had paid more attention to detail.
- Finally, Keller discusses the importance of being open to new ideas. He talks about his work on the TenstorFlow chip, which is a new type of chip designed for machine learning applications. He says that he was initially skeptical of the idea, but that he eventually came to believe that it had the potential to be a major breakthrough.
Overall, Keller's philosophy is one of pragmatism and open-mindedness. He believes that the best way to make progress in computer science is to be willing to experiment and to learn from both successes and failures.
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Here are some timestamps related to Keller's philosophy in the YouTube video:
1:18:02 - Keller discusses the importance of both theory and engineering in good design.
1:23:22 - Keller gives the example of branch prediction as a breakthrough in engineering that was based on theory.
1:34:12 - Keller talks about the importance of craftsmanship in engineering.
1:42:15 - Keller discusses the limitations of human thinking and the importance of being open to new ideas.
2:12:22 - Keller talks about the responsibility of engineers to society.
Yeah, this review is pretty superficial. It seems like it was written by a college freshman that barely engaged with the interview. (Thanks for sharing it though.)
