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cover of episode 595: Year of the Snake

595: Year of the Snake

2024/11/13
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Coder Radio

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People
C
Chris
投资分析师和顾问,专注于小盘价值基金的比较和分析。
M
Mike
专注于摄影设备历史和技术的博客作者和播客主持人。
Topics
Chris分析了AMD和Intel在x86处理器市场上的竞争态势,指出AMD的桌面处理器出货量增长使其市场份额达到25%,而Intel的Arrow Lake处理器发布不顺影响了其市场表现。他认为Intel面临来自AMD和ARM的竞争压力,未来发展前景不明朗。Mike则认为Intel仍然占据大部分市场,但正在失去市场份额,并建议Intel专注于提升处理器和GPU性能,加强对AI社区的支持,以及加大对Intel Arc GPU的软件支持力度。 Mike讨论了Python编程语言的流行,认为其在AI、数据科学和Web开发等领域的广泛应用以及Jupyter Notebook的普及是主要原因。他还谈到了.NET 9的发布,以及GitHub Octoverse报告中显示的全球开发者社区快速增长和印度成为最大开发者群体的趋势。

Deep Dive

Chapters
The declining market share of Intel and the rise of AMD and ARM are analyzed, with a focus on Intel's potential recovery strategies.
  • AMD now accounts for 25% of all x86 processor shipments.
  • Intel's Arrow Lake chips faced performance issues.
  • Intel needs to focus on competitive products in CPUs, GPUs, and AI to recover.

Shownotes Transcript

Python's eating the world - and AI's helping it digest. A cheeky look at why this programming language is suddenly everywhere and the bizarre tale of how AI infiltrated the last place you'd expect.

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  • AMD grabs a quarter of x86 market with desktop gains) — AMD now accounts for 25 percent of all x86 processor shipments, but only made a slight increase in the past quarter against industry leader Intel in servers – the main gains came from the desktop market.
  • Intel exec says Arrow Lake launch ‘just didn’t go as planned') — Intel’s Arrow Lake chips’ “bones are solid,” Hallock said during the interview. Still, the company has identified factors “that can combine to produce some pretty wild unintended effects.” Hallock was also clear that the new Arrow Lake performance issues are strictly Intel’s responsibility, and not the fault of Microsoft or anyone else.
  • Announcing .NET 9 ) — Today, we are excited to announce the launch of .NET 9, the most productive, modern, secure, intelligent, and performant release of .NET yet. It’s the result of another year of effort on the part of thousands of developers from around the world.
  • Octoverse: AI leads Python to top language as the number of global developers surges - The GitHub Blog) — In this year’s Octoverse report, we study how public and open source activity on GitHub shows how AI is expanding as the global developer community surges in size.
  • TensorFlow) — TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.
  • NumPy -) — The fundamental package for scientific computing with Python
  • pandas - Python Data Analysis Library) — pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
  • PyTorch) — A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.
  • I’m a neurology ICU nurse. The creep of AI in our hospitals terrifies me ) — We didn’t call it AI at first. The first thing that happened was these new innovations just crept into our electronic medical record system. They were tools that monitored whether specific steps in patient treatment were being followed. If something was missed or hadn’t been done, the AI would send an alert. It was very primitive, and it was there to stop patients falling through the cracks.
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