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#36 Altman's Chips, Mojo Gets Fast and TUIs
Manage episode 400514885 series 3332503
Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society.
Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's dive into episode #36 titled "Altman's Chips, Mojo Gets Fast and TUIs", featuring Nemanja Radojkovic, an MLOps Lead and Educator, as our special guest.
In this episode, we explore a variety of cutting-edge topics:
- Text-based User Interfaces (TUIs) Rediscovered: Delving into the resurgence of TUIs with Ratatui and gping. Are we witnessing a TUI renaissance? Ratatui | gping
- The Surprising Length of ChatGPT's System Prompt: Unpacking the implications of a 1700 token system prompt. Is there more than meets the eye? Reddit discussion
- Mojo Outpaces Rust in DNA Sequence Parsing: A closer look at how Mojo outperforms Rust by 50% in benchmarks. Is Mojo the new king? Modular's blog post
- Sam Altman's Vision for the Future of Chips and AI: Examining Altman's ambitious plan to reshape the business of chips and AI with trillions of dollars. WSJ article | Reuters on Microsoft's AI chips
- The Real Challenge in Generating Code: Discussing the misconception that generating code is the hard part, with insights into the complexities of software engineering beyond code generation. Nick Scialli's blog
Follow Nemanja on LinkedIn and check out his courses.
Intro music courtesy of fesliyanstudios.com
章节
1. #36 Altman's Chips, Mojo Gets Fast and TUIs (00:00:00)
2. MLOps and DevOps in Data Science (00:00:15)
3. Prompt Engineering and ChatGPT Performance (00:11:47)
4. Chat GPT Impact on Code Generation (00:20:40)
5. Programming and AI's Impact on Future (00:25:17)
6. Investing in NVIDIA and OpenAI (00:33:36)
7. Comparison of Mojo and Rust's Performance (00:47:39)
8. Exploring Rust and Terminal User Interfaces (00:57:26)
9. The Challenges of Python Packaging (01:04:01)
83集单集
Manage episode 400514885 series 3332503
Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society.
Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's dive into episode #36 titled "Altman's Chips, Mojo Gets Fast and TUIs", featuring Nemanja Radojkovic, an MLOps Lead and Educator, as our special guest.
In this episode, we explore a variety of cutting-edge topics:
- Text-based User Interfaces (TUIs) Rediscovered: Delving into the resurgence of TUIs with Ratatui and gping. Are we witnessing a TUI renaissance? Ratatui | gping
- The Surprising Length of ChatGPT's System Prompt: Unpacking the implications of a 1700 token system prompt. Is there more than meets the eye? Reddit discussion
- Mojo Outpaces Rust in DNA Sequence Parsing: A closer look at how Mojo outperforms Rust by 50% in benchmarks. Is Mojo the new king? Modular's blog post
- Sam Altman's Vision for the Future of Chips and AI: Examining Altman's ambitious plan to reshape the business of chips and AI with trillions of dollars. WSJ article | Reuters on Microsoft's AI chips
- The Real Challenge in Generating Code: Discussing the misconception that generating code is the hard part, with insights into the complexities of software engineering beyond code generation. Nick Scialli's blog
Follow Nemanja on LinkedIn and check out his courses.
Intro music courtesy of fesliyanstudios.com
章节
1. #36 Altman's Chips, Mojo Gets Fast and TUIs (00:00:00)
2. MLOps and DevOps in Data Science (00:00:15)
3. Prompt Engineering and ChatGPT Performance (00:11:47)
4. Chat GPT Impact on Code Generation (00:20:40)
5. Programming and AI's Impact on Future (00:25:17)
6. Investing in NVIDIA and OpenAI (00:33:36)
7. Comparison of Mojo and Rust's Performance (00:47:39)
8. Exploring Rust and Terminal User Interfaces (00:57:26)
9. The Challenges of Python Packaging (01:04:01)
83集单集
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