Listen Score
LS 31
Global Rank
TOP 5%

このポッドキャストについて 🔗

更新頻度:
semiweekly
平均音声長:
53 minutes
ゲストインタビュー
スポンサーがいる
英語
アメリカ合衆国
270 エピソード
2015年8月7日から
episodic

AUDIENCE OF THIS PODCAST 🔗

~81.42% of listeners are from United States.
🇺🇸
US
81.42%
🇧🇷
BR
1.50%
🇺🇦
UA
1.50%
🇬🇧
GB
1.50%
🇨🇦
CA
1.36%
🇮🇳
IN
1.22%
🇮🇩
ID
0.95%
🇵🇱
PL
0.81%
🇹🇭
TH
0.81%
🇱🇹
LT
0.81%
🇩🇪
DE
0.68%
🇻🇳
VN
0.68%
🇨🇭
CH
0.54%
🇦🇺
AU
0.54%
🇷🇺
RU
0.54%
🇷🇸
RS
0.40%
🇸🇪
SE
0.40%
🇦🇷
AR
0.40%
🇹🇼
TW
0.40%
🇿🇦
ZA
0.27%
🇬🇹
GT
0.27%
🇵🇹
PT
0.27%
🇹🇳
TN
0.27%
🇸🇬
SG
0.27%
🇵🇭
PH
0.27%
🇳🇱
NL
0.27%
🇪🇸
ES
0.13%
🇫🇷
FR
0.13%
🇳🇬
NG
0.13%
🇭🇷
HR
0.13%
🇸🇦
SA
0.13%
🇪🇪
EE
0.13%
🇨🇿
CZ
0.13%
🇭🇰
HK
0.13%
🇮🇪
IE
0.13%
🇷🇴
RO
0.13%
🇩🇰
DK
0.13%
Others
0.22%
* Data source: directly measured on Listen Notes. リアルタイム

最新エピソード 🔗

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, Gregor and Sean cover the PHP remote code execution flaw that hit …

過去のエピソードを検索

Software Engineering Dailyの以前のエピソードを検索します。

以前のエピソード

Demis Hassabis founded DeepMind in 2010, before machines could reliably tell a cat from a dog. He believed that artificial general intelligence was achievable, and that it should be built safely and deliberately. Along the way, Hassabis shared the 2024 Nobel Prize in Chemistry for AlphaFold, the sy…
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Over the past couple of years, companies raced to get their employees using AI, often encouraging them to lean on it as much as possible. However, as AI coding tools spread through engineering teams, many companies watched their AI bills explode. That kind of runaway cost growth can threaten a busi…
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Physical AI at NVIDIA

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Steve Jobs in Exile

The popular story of Steve Jobs is that he co-founded Apple, was pushed out, wandered through a failed venture called NeXT, then returned to save the company and usher in the iPod and iPhone. That version is memorable, widely repeated, and, in an important sense, wrong. His years at NeXT are usuall…
In the world of software security, there was historically a comfortable lag between the moment a vulnerability became public and the moment attackers could exploit it. This lag was often measured in months, but AI models can now read a vulnerability report and generate a working exploit almost inst…
免責: このページに埋め込まれているポッドキャストとアートワークは Software Engineering Daily からのものであり、その所有者の所有物であり、Listen Notes, Inc. と提携または承認されていません。