Podcasts about Cloud computing

 In this second episode of the special AI mini-series, we now explore the human side of transformation, where technology meets purpose and people remain at the center. From future jobs and critical thinking to working with C-level leaders, how human intervention and high-quality data drive success in an AI-powered world.This week, Dave, Esmee, and Rob talk to Indhira Mani, CDO at Intact Insurance UK, about the Love for data, insights on leadership, resilience, and preparing the next generation for what's next.    TLDR:01:30 Introduction of Indhira Mani and Scotch whisky05:45 Explaining the State of AI mini-series with Craig07:12 Conversation with Indi about her boyfriend called Data 38:33 Umbrella Sharing in Japan and the trust on AI45:15 The British Insurance Award and Women in Tech finalist GuestIndhira Mani: https://www.linkedin.com/in/indhira-mani-data/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

When Amazon AWS and Microsoft Azure crashed, half a billion dollars vanished overnight. In this episode, David Mauro, Dr. Sergio Sanchez, and Zack Moscow uncover the ethics surrounding AI and the need for tech awareness, highlighting the importance of digital detox in maintaining a healthy balance.We break down: 

We've heard that Microsoft will go off script this year with a 26H1 release of Windows 11 specifically aimed at Snapdragon X2-based PCs, as it did with the early release of 24H2 last year for the first-generation Snapdragon X. Also, Microsoft's latest earnings call left analysts baffled as execs dodged questions about multibillion-dollar AI losses and the real story behind OpenAI's ballooning deficit.26H1! Now confirmed by the release notes of a Windows Update And the Dev channel will soon switch over to 26H1 testing, with Beta moving to 25H2 (from 24H2) Expectations? All three versions will be functionally identical except for some Copilot+ PC-specific features that may be briefly only on Snapdragon X2. And then there will be a 26H2 for everyone More Windows 11 Microsoft (over) simplifies its Windows Update naming scheme, and then has to backtrack a bit because of admin/IT backlash October Preview Update screwed up Task Manager a little bit Dev/Beta update noted above included a new build with Ask Copilot in the Taskbar, Full-screen experience for Xbox gaming handhelds, Shared audio over Bluetooth LE in preview, and improvements to the WOA Prism emulator (which partially explains the expectations bit above) Microsoft Edge password manager can now save and sync passkeys, but you should still use a third-party password/identity manager Microsoft Store gets a bulk installer but only on the web Earnings learnings Microsoft earnings: Revenues up 18 percent to $77.7 billion but cost of AI is spiraling out of control and will only get bigger this FY Productivity and Business Processes revenues up 17 percent YOY to $33 billion Intelligent Cloud revenues of $30.9 billion, a gain of 28 percent YOY More Personal Computing delivered $13.8 billion in revenues, up 4 percent YOY. CapEx/AI infrastructure build-out costs are $34.9 billion (vs. $20 billion one year ago), plus a $4.1 billion loss attributed to OpenAI that was mentioned in a 10-Q (SEC) filing but not in its earnings reports Paul's analysis sticks mostly to Wall Street complicity in Microsoft's earnings non-transparency shenanigans. This is getting weird, given the amounts of money we're now talking about This isn't a first, but Spotify's earnings announcements includes a few BS sleights of hand too AMD: 36 percent revenue growth isn't enough for Wall Street Alphabet/Google: Up 16 percent to $102.3 billion, ads are 72.5 percent of revenues Amazon: Up 13 percent to $180 billion in revenues, $30 from AWS Apple: Up 8 percent to $102.5 billion, this quarter will be its best ever AI, antitrust, & dev Epic Games and Google announce settlement in Epic v. Google, a dramatic common-sense move that Apple should (but won't) emulate Regulatory filings tied to Microsoft earnings suggest OpenAI lost $12 billion in most recent quarter Freed from Microsoft, OpenAI immediately signs $38 billion infrastructure deal with AWS .NET 10 to launch next week at .NET Conf 2025 Xbox & games Xbox Game Pass getting Call of Duty Black Ops 7, five more Day One games in coming days (with an *) Xbox October Update rolls out with game shader preloading on Xbox Ally, new modules in Game Hubs on console, more games to stream on Xbox Cloud Gaming, more Nintendo Switch 2 is off to a blockbuster first year with T These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/957 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: helixsleep.com/windows framer.com/design promo code WW 1password.com/windowsweekly auraframes.com/ink

We've heard that Microsoft will go off script this year with a 26H1 release of Windows 11 specifically aimed at Snapdragon X2-based PCs, as it did with the early release of 24H2 last year for the first-generation Snapdragon X. Also, Microsoft's latest earnings call left analysts baffled as execs dodged questions about multibillion-dollar AI losses and the real story behind OpenAI's ballooning deficit.26H1! Now confirmed by the release notes of a Windows Update And the Dev channel will soon switch over to 26H1 testing, with Beta moving to 25H2 (from 24H2) Expectations? All three versions will be functionally identical except for some Copilot+ PC-specific features that may be briefly only on Snapdragon X2. And then there will be a 26H2 for everyone More Windows 11 Microsoft (over) simplifies its Windows Update naming scheme, and then has to backtrack a bit because of admin/IT backlash October Preview Update screwed up Task Manager a little bit Dev/Beta update noted above included a new build with Ask Copilot in the Taskbar, Full-screen experience for Xbox gaming handhelds, Shared audio over Bluetooth LE in preview, and improvements to the WOA Prism emulator (which partially explains the expectations bit above) Microsoft Edge password manager can now save and sync passkeys, but you should still use a third-party password/identity manager Microsoft Store gets a bulk installer but only on the web Earnings learnings Microsoft earnings: Revenues up 18 percent to $77.7 billion but cost of AI is spiraling out of control and will only get bigger this FY Productivity and Business Processes revenues up 17 percent YOY to $33 billion Intelligent Cloud revenues of $30.9 billion, a gain of 28 percent YOY More Personal Computing delivered $13.8 billion in revenues, up 4 percent YOY. CapEx/AI infrastructure build-out costs are $34.9 billion (vs. $20 billion one year ago), plus a $4.1 billion loss attributed to OpenAI that was mentioned in a 10-Q (SEC) filing but not in its earnings reports Paul's analysis sticks mostly to Wall Street complicity in Microsoft's earnings non-transparency shenanigans. This is getting weird, given the amounts of money we're now talking about This isn't a first, but Spotify's earnings announcements includes a few BS sleights of hand too AMD: 36 percent revenue growth isn't enough for Wall Street Alphabet/Google: Up 16 percent to $102.3 billion, ads are 72.5 percent of revenues Amazon: Up 13 percent to $180 billion in revenues, $30 from AWS Apple: Up 8 percent to $102.5 billion, this quarter will be its best ever AI, antitrust, & dev Epic Games and Google announce settlement in Epic v. Google, a dramatic common-sense move that Apple should (but won't) emulate Regulatory filings tied to Microsoft earnings suggest OpenAI lost $12 billion in most recent quarter Freed from Microsoft, OpenAI immediately signs $38 billion infrastructure deal with AWS .NET 10 to launch next week at .NET Conf 2025 Xbox & games Xbox Game Pass getting Call of Duty Black Ops 7, five more Day One games in coming days (with an *) Xbox October Update rolls out with game shader preloading on Xbox Ally, new modules in Game Hubs on console, more games to stream on Xbox Cloud Gaming, more Nintendo Switch 2 is off to a blockbuster first year with T These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/957 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: helixsleep.com/windows framer.com/design promo code WW 1password.com/windowsweekly auraframes.com/ink

We've heard that Microsoft will go off script this year with a 26H1 release of Windows 11 specifically aimed at Snapdragon X2-based PCs, as it did with the early release of 24H2 last year for the first-generation Snapdragon X. Also, Microsoft's latest earnings call left analysts baffled as execs dodged questions about multibillion-dollar AI losses and the real story behind OpenAI's ballooning deficit.26H1! Now confirmed by the release notes of a Windows Update And the Dev channel will soon switch over to 26H1 testing, with Beta moving to 25H2 (from 24H2) Expectations? All three versions will be functionally identical except for some Copilot+ PC-specific features that may be briefly only on Snapdragon X2. And then there will be a 26H2 for everyone More Windows 11 Microsoft (over) simplifies its Windows Update naming scheme, and then has to backtrack a bit because of admin/IT backlash October Preview Update screwed up Task Manager a little bit Dev/Beta update noted above included a new build with Ask Copilot in the Taskbar, Full-screen experience for Xbox gaming handhelds, Shared audio over Bluetooth LE in preview, and improvements to the WOA Prism emulator (which partially explains the expectations bit above) Microsoft Edge password manager can now save and sync passkeys, but you should still use a third-party password/identity manager Microsoft Store gets a bulk installer but only on the web Earnings learnings Microsoft earnings: Revenues up 18 percent to $77.7 billion but cost of AI is spiraling out of control and will only get bigger this FY Productivity and Business Processes revenues up 17 percent YOY to $33 billion Intelligent Cloud revenues of $30.9 billion, a gain of 28 percent YOY More Personal Computing delivered $13.8 billion in revenues, up 4 percent YOY. CapEx/AI infrastructure build-out costs are $34.9 billion (vs. $20 billion one year ago), plus a $4.1 billion loss attributed to OpenAI that was mentioned in a 10-Q (SEC) filing but not in its earnings reports Paul's analysis sticks mostly to Wall Street complicity in Microsoft's earnings non-transparency shenanigans. This is getting weird, given the amounts of money we're now talking about This isn't a first, but Spotify's earnings announcements includes a few BS sleights of hand too AMD: 36 percent revenue growth isn't enough for Wall Street Alphabet/Google: Up 16 percent to $102.3 billion, ads are 72.5 percent of revenues Amazon: Up 13 percent to $180 billion in revenues, $30 from AWS Apple: Up 8 percent to $102.5 billion, this quarter will be its best ever AI, antitrust, & dev Epic Games and Google announce settlement in Epic v. Google, a dramatic common-sense move that Apple should (but won't) emulate Regulatory filings tied to Microsoft earnings suggest OpenAI lost $12 billion in most recent quarter Freed from Microsoft, OpenAI immediately signs $38 billion infrastructure deal with AWS .NET 10 to launch next week at .NET Conf 2025 Xbox & games Xbox Game Pass getting Call of Duty Black Ops 7, five more Day One games in coming days (with an *) Xbox October Update rolls out with game shader preloading on Xbox Ally, new modules in Game Hubs on console, more games to stream on Xbox Cloud Gaming, more Nintendo Switch 2 is off to a blockbuster first year with T These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/957 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: helixsleep.com/windows framer.com/design promo code WW 1password.com/windowsweekly auraframes.com/ink

We've heard that Microsoft will go off script this year with a 26H1 release of Windows 11 specifically aimed at Snapdragon X2-based PCs, as it did with the early release of 24H2 last year for the first-generation Snapdragon X. Also, Microsoft's latest earnings call left analysts baffled as execs dodged questions about multibillion-dollar AI losses and the real story behind OpenAI's ballooning deficit.26H1! Now confirmed by the release notes of a Windows Update And the Dev channel will soon switch over to 26H1 testing, with Beta moving to 25H2 (from 24H2) Expectations? All three versions will be functionally identical except for some Copilot+ PC-specific features that may be briefly only on Snapdragon X2. And then there will be a 26H2 for everyone More Windows 11 Microsoft (over) simplifies its Windows Update naming scheme, and then has to backtrack a bit because of admin/IT backlash October Preview Update screwed up Task Manager a little bit Dev/Beta update noted above included a new build with Ask Copilot in the Taskbar, Full-screen experience for Xbox gaming handhelds, Shared audio over Bluetooth LE in preview, and improvements to the WOA Prism emulator (which partially explains the expectations bit above) Microsoft Edge password manager can now save and sync passkeys, but you should still use a third-party password/identity manager Microsoft Store gets a bulk installer but only on the web Earnings learnings Microsoft earnings: Revenues up 18 percent to $77.7 billion but cost of AI is spiraling out of control and will only get bigger this FY Productivity and Business Processes revenues up 17 percent YOY to $33 billion Intelligent Cloud revenues of $30.9 billion, a gain of 28 percent YOY More Personal Computing delivered $13.8 billion in revenues, up 4 percent YOY. CapEx/AI infrastructure build-out costs are $34.9 billion (vs. $20 billion one year ago), plus a $4.1 billion loss attributed to OpenAI that was mentioned in a 10-Q (SEC) filing but not in its earnings reports Paul's analysis sticks mostly to Wall Street complicity in Microsoft's earnings non-transparency shenanigans. This is getting weird, given the amounts of money we're now talking about This isn't a first, but Spotify's earnings announcements includes a few BS sleights of hand too AMD: 36 percent revenue growth isn't enough for Wall Street Alphabet/Google: Up 16 percent to $102.3 billion, ads are 72.5 percent of revenues Amazon: Up 13 percent to $180 billion in revenues, $30 from AWS Apple: Up 8 percent to $102.5 billion, this quarter will be its best ever AI, antitrust, & dev Epic Games and Google announce settlement in Epic v. Google, a dramatic common-sense move that Apple should (but won't) emulate Regulatory filings tied to Microsoft earnings suggest OpenAI lost $12 billion in most recent quarter Freed from Microsoft, OpenAI immediately signs $38 billion infrastructure deal with AWS .NET 10 to launch next week at .NET Conf 2025 Xbox & games Xbox Game Pass getting Call of Duty Black Ops 7, five more Day One games in coming days (with an *) Xbox October Update rolls out with game shader preloading on Xbox Ally, new modules in Game Hubs on console, more games to stream on Xbox Cloud Gaming, more Nintendo Switch 2 is off to a blockbuster first year with T These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/957 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: helixsleep.com/windows framer.com/design promo code WW 1password.com/windowsweekly auraframes.com/ink

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Trellix's Director of Strategy Zak Krider reveals how they automated tedious security tasks like event parsing and threat detection using Amazon Bedrock's multi-model approach, achieving 100% accuracy while eliminating bottlenecks in their development lifecycle.Topics Include:Trellix merged FireEye and McAfee Enterprise, combining two decades of cybersecurity AI expertiseProcessing thousands of daily security events revealed traditional ML's weakness: overwhelming false positivesTwo years ago, they integrated generative AI to automate threat investigation workflowsAmazon Bedrock's multi-model access enabled rapid testing and "fail fast, learn fast" methodologyBuilt custom cybersecurity testing framework since public benchmarks don't reflect domain-specific needsAgentic AI now autonomously investigates threats across dark web, CVEs, and telemetry dataAWS NOVA builds investigation plans while Claude executes detailed threat research analysisLaunched "Sidekick" internal tool with agents mimicking human developer onboarding processesChose prompt engineering over fine-tuning for flexibility, cost-effectiveness, and faster iterationAutomated security rule generation across multiple languages that typically require unicorn developersAchieved 100% accuracy in automated event parsing, eliminating tedious manual SOC workKey lesson: don't default to one model; test and mix for optimal resultsParticipants:Zak Krider - Director of Strategy & AI, TrellixSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

We've heard that Microsoft will go off script this year with a 26H1 release of Windows 11 specifically aimed at Snapdragon X2-based PCs, as it did with the early release of 24H2 last year for the first-generation Snapdragon X. Also, Microsoft's latest earnings call left analysts baffled as execs dodged questions about multibillion-dollar AI losses and the real story behind OpenAI's ballooning deficit.26H1! Now confirmed by the release notes of a Windows Update And the Dev channel will soon switch over to 26H1 testing, with Beta moving to 25H2 (from 24H2) Expectations? All three versions will be functionally identical except for some Copilot+ PC-specific features that may be briefly only on Snapdragon X2. And then there will be a 26H2 for everyone More Windows 11 Microsoft (over) simplifies its Windows Update naming scheme, and then has to backtrack a bit because of admin/IT backlash October Preview Update screwed up Task Manager a little bit Dev/Beta update noted above included a new build with Ask Copilot in the Taskbar, Full-screen experience for Xbox gaming handhelds, Shared audio over Bluetooth LE in preview, and improvements to the WOA Prism emulator (which partially explains the expectations bit above) Microsoft Edge password manager can now save and sync passkeys, but you should still use a third-party password/identity manager Microsoft Store gets a bulk installer but only on the web Earnings learnings Microsoft earnings: Revenues up 18 percent to $77.7 billion but cost of AI is spiraling out of control and will only get bigger this FY Productivity and Business Processes revenues up 17 percent YOY to $33 billion Intelligent Cloud revenues of $30.9 billion, a gain of 28 percent YOY More Personal Computing delivered $13.8 billion in revenues, up 4 percent YOY. CapEx/AI infrastructure build-out costs are $34.9 billion (vs. $20 billion one year ago), plus a $4.1 billion loss attributed to OpenAI that was mentioned in a 10-Q (SEC) filing but not in its earnings reports Paul's analysis sticks mostly to Wall Street complicity in Microsoft's earnings non-transparency shenanigans. This is getting weird, given the amounts of money we're now talking about This isn't a first, but Spotify's earnings announcements includes a few BS sleights of hand too AMD: 36 percent revenue growth isn't enough for Wall Street Alphabet/Google: Up 16 percent to $102.3 billion, ads are 72.5 percent of revenues Amazon: Up 13 percent to $180 billion in revenues, $30 from AWS Apple: Up 8 percent to $102.5 billion, this quarter will be its best ever AI, antitrust, & dev Epic Games and Google announce settlement in Epic v. Google, a dramatic common-sense move that Apple should (but won't) emulate Regulatory filings tied to Microsoft earnings suggest OpenAI lost $12 billion in most recent quarter Freed from Microsoft, OpenAI immediately signs $38 billion infrastructure deal with AWS .NET 10 to launch next week at .NET Conf 2025 Xbox & games Xbox Game Pass getting Call of Duty Black Ops 7, five more Day One games in coming days (with an *) Xbox October Update rolls out with game shader preloading on Xbox Ally, new modules in Game Hubs on console, more games to stream on Xbox Cloud Gaming, more Nintendo Switch 2 is off to a blockbuster first year with T These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/957 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: helixsleep.com/windows framer.com/design promo code WW 1password.com/windowsweekly auraframes.com/ink

We've heard that Microsoft will go off script this year with a 26H1 release of Windows 11 specifically aimed at Snapdragon X2-based PCs, as it did with the early release of 24H2 last year for the first-generation Snapdragon X. Also, Microsoft's latest earnings call left analysts baffled as execs dodged questions about multibillion-dollar AI losses and the real story behind OpenAI's ballooning deficit.26H1! Now confirmed by the release notes of a Windows Update And the Dev channel will soon switch over to 26H1 testing, with Beta moving to 25H2 (from 24H2) Expectations? All three versions will be functionally identical except for some Copilot+ PC-specific features that may be briefly only on Snapdragon X2. And then there will be a 26H2 for everyone More Windows 11 Microsoft (over) simplifies its Windows Update naming scheme, and then has to backtrack a bit because of admin/IT backlash October Preview Update screwed up Task Manager a little bit Dev/Beta update noted above included a new build with Ask Copilot in the Taskbar, Full-screen experience for Xbox gaming handhelds, Shared audio over Bluetooth LE in preview, and improvements to the WOA Prism emulator (which partially explains the expectations bit above) Microsoft Edge password manager can now save and sync passkeys, but you should still use a third-party password/identity manager Microsoft Store gets a bulk installer but only on the web Earnings learnings Microsoft earnings: Revenues up 18 percent to $77.7 billion but cost of AI is spiraling out of control and will only get bigger this FY Productivity and Business Processes revenues up 17 percent YOY to $33 billion Intelligent Cloud revenues of $30.9 billion, a gain of 28 percent YOY More Personal Computing delivered $13.8 billion in revenues, up 4 percent YOY. CapEx/AI infrastructure build-out costs are $34.9 billion (vs. $20 billion one year ago), plus a $4.1 billion loss attributed to OpenAI that was mentioned in a 10-Q (SEC) filing but not in its earnings reports Paul's analysis sticks mostly to Wall Street complicity in Microsoft's earnings non-transparency shenanigans. This is getting weird, given the amounts of money we're now talking about This isn't a first, but Spotify's earnings announcements includes a few BS sleights of hand too AMD: 36 percent revenue growth isn't enough for Wall Street Alphabet/Google: Up 16 percent to $102.3 billion, ads are 72.5 percent of revenues Amazon: Up 13 percent to $180 billion in revenues, $30 from AWS Apple: Up 8 percent to $102.5 billion, this quarter will be its best ever AI, antitrust, & dev Epic Games and Google announce settlement in Epic v. Google, a dramatic common-sense move that Apple should (but won't) emulate Regulatory filings tied to Microsoft earnings suggest OpenAI lost $12 billion in most recent quarter Freed from Microsoft, OpenAI immediately signs $38 billion infrastructure deal with AWS .NET 10 to launch next week at .NET Conf 2025 Xbox & games Xbox Game Pass getting Call of Duty Black Ops 7, five more Day One games in coming days (with an *) Xbox October Update rolls out with game shader preloading on Xbox Ally, new modules in Game Hubs on console, more games to stream on Xbox Cloud Gaming, more Nintendo Switch 2 is off to a blockbuster first year with T These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/957 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: helixsleep.com/windows framer.com/design promo code WW 1password.com/windowsweekly auraframes.com/ink

AI Revolution, Cloud Growth, and the Virtual Cell. Brandon Weichert reports on how AI is driving massive growth in cloud computing, exemplified by Amazon's surging shares and AWS growth, reaching paces "we haven't seen since 2022." Weichert dismisses fears of an "AI crash" as fear-mongering rooted in ignorance and past market bubbles, arguing that AI is sparking new sectors and enhancing productivity across industries. He details the cutting-edge application of AI in creating a "virtual cell"—computer models that simulate cell functions to speed up drug discovery, understand disease mechanisms, and inform scientific investigation. 1951

Keywordscybersecurity, technology, AI, IoT, Intel, startups, security culture, talent development, career advice  SummaryIn this episode of No Password Required, host Jack Clabby and Kayleigh Melton engage with Steve Orrin, the federal CTO at Intel, discussing the evolving landscape of cybersecurity, the importance of diverse teams, and the intersection of technology and security. Steve shares insights from his extensive career, including his experiences in the startup scene, the significance of AI and IoT, and the critical blind spots in cybersecurity practices. The conversation also touches on nurturing talent in technology and offers valuable advice for young professionals entering the field.  TakeawaysIoT is now referred to as the Edge in technology.Diverse teams bring unique perspectives and solutions.Experience in cybersecurity is crucial for effective team building.The startup scene in the 90s was vibrant and innovative.Understanding both biology and technology can lead to unique career paths.AI and IoT are integral to modern cybersecurity solutions.Organizations often overlook the importance of security in early project stages.Nurturing talent involves giving them interesting projects and autonomy.Young professionals should understand the hacker mentality to succeed in cybersecurity.Customer feedback is essential for developing effective security solutions.  TitlesThe Edge of Cybersecurity: Insights from Steve OrrinNavigating the Intersection of Technology and Security  Sound bites"IoT is officially called the Edge.""We're making mainframe sexy again.""Surround yourself with people smarter than you."  Chapters00:00 Introduction to Cybersecurity and the Edge01:48 Steve Orrin's Role at Intel04:51 The Evolution of Security Technology09:07 The Startup Scene in the 90s13:00 The Intersection of Biology and Technology15:52 The Importance of AI and IoT20:30 Blind Spots in Cybersecurity25:38 Nurturing Talent in Technology28:57 Advice for Young Cybersecurity Professionals32:10 Lifestyle Polygraph: Fun Questions with Steve

Topics covered in this episode: The PSF has withdrawn a $1.5 million proposal to US government grant program A Binary Serializer for Pydantic Models T-strings: Python's Fifth String Formatting Technique? Cronboard Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: The PSF has withdrawn a $1.5 million proposal to US government grant program Related post from Simon Willison ARS Technica: Python plan to boost software security foiled by Trump admin's anti-DEI rules The Register: Python Foundation goes ride or DEI, rejects government grant with strings attached In Jan 2025, the PSF submitted a proposal for a US NSF grant under the Safety, Security, and Privacy of Open Source Ecosystems program. After months of work by the PSF, the proposal was recommended for funding. If the PSF accepted it, however, they would need to agree to the some terms and conditions, including, affirming that the PSF doesn't support diversity. The restriction wouldn't just be around the security work, but around all activity of the PSF as a whole. And further, that any deemed violation would give the NSF the right to ask for the money back. That just won't work, as the PSF would have already spent the money. The PSF mission statement includes "The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers." The money would have obviously been very valuable, but the restrictions are just too unacceptable. The PSF withdrew the proposal. This couldn't have been an easy decision, that was a lot of money, but I think the PSF did the right thing. Michael #2: A Binary Serializer for Pydantic Models 7× Smaller Than JSON A compact binary serializer for Pydantic models that dramatically reduces RAM usage compared to JSON. The library is designed for high-load systems (e.g., Redis caching), where millions of models are stored in memory and every byte matters. It serializes Pydantic models into a minimal binary format and deserializes them back with zero extra metadata overhead. Target Audience: This project is intended for developers working with: high-load APIs in-memory caches (Redis, Memcached) message queues cost-sensitive environments where object size matters Brian #3: T-strings: Python's Fifth String Formatting Technique? Trey Hunner Python 3.14 has t-strings. How do they fit in with the rest of the string story? History percent-style (%) strings - been around for a very long time string.Template - and t.substitute() - from Python 2.4, but I don't think I've ever used them bracket variables and .format() - Since Python 2.6 f-strings - Python 3.6 - Now I feel old. These still seem new to me t-strings - Python 3.14, but a totally different beast. These don't return strings. Trey then covers a problem with f-strings in that the substitution happens at definition time. t-strings have substitution happen later. this is essentially “lazy string interpolation” This still takes a bit to get your head around, but I appreciate Trey taking a whack at the explanation. Michael #4: Cronboard Cronboard is a terminal application that allows you to manage and schedule cronjobs on local and remote servers. With Cronboard, you can easily add, edit, and delete cronjobs, as well as view their status. ✨ Features ✔️ Check cron jobs ✔️ Create cron jobs with validation and human-readable feedback ✔️ Pause and resume cron jobs ✔️ Edit existing cron jobs ✔️ Delete cron jobs ✔️ View formatted last and next run times ✔️ Accepts special expressions like @daily, @yearly, @monthly, etc. ✔️ Connect to servers using SSH, using password or SSH keys ✔️ Choose another user to manage cron jobs if you have the permissions to do so (sudo) Extras Brian: PEP 810: Explicit lazy imports, has been unanimously accepted by steering council Lean TDD book will be written in the open. TOC, some details, and a 10 page introduction are now available. Hoping for the first pass to be complete by the end of the year. I'd love feedback to help make it a great book, and keep it small-ish, on a very limited budget. Joke: You are so wrong!

Honeycomb's VP of Marketing Shabih Syed reveals why traditional observability is dead and how AI-powered tools are transforming the way engineers debug production systems, with real examples.Topics Include:Observability is how you understand and troubleshoot your production systems in real-timeShabih's 18-year journey: developer to product manager to marketing VP shares unique perspectiveAI coding assistants are fundamentally changing how fast engineers ship code to productionCustomer patience is gone - one checkout failure means losing them foreverOver 90% of engineers now "vibe code" with AI, creating new complexityObservability costs are spiraling - engineers forced to limit logging, creating debugging dead-endsHoneycomb reimagines observability: meeting expectations, reducing complexity, breaking the cost curveMajor customers like Booking.com and Intercom already transforming with AI-native observabilityMCP server brings production data directly into your IDE for real-time AI assistanceCanvas enables plain English investigations to find "unknown unknowns" before they become problemsAnomaly detection helps junior engineers spot issues they wouldn't know to look forStatic dashboards are dead - AI-powered workflows are the future of system observationParticipants:Shabih Syed - VP Product Marketing, Honeycomb.io See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this week's episode, we're exploring one of the most important — and sometimes misunderstood — areas of modern technology: cloud computing. This invisible backbone powers everything from the apps on our phones to the systems that run global enterprises. The cloud has transformed how we store, process, and protect data, bringing huge benefits in speed, scalability, and innovation. But, those advantages come with some tough challenges — from managing security risks and compliance to keeping costs under control as cloud usage grows. Three of Moser's resident experts are bringing their unique perspectives to us this week to discuss strategies, operations, innovations, and cost management.

4:45 – two (maybe three) rules for AI prompts5:15 – Rule 0 – mindset 5:45 – Rule 1 - be clear and specific8:05 – don't be discouraged8:25 – Rule 2 - have a conversation10:00 – keep going, don't settle10:50 – the Magic School conundrum14:00 – Khanmigo – one for teachers and one for students15:15 – Khanmigo will not provide answers – it's a tutor16:15 – Microsoft Copilot16:35 – Coach.microsoft (reading support)17:45 – Perplexity (powered by Claude and by ChatGPT)19:15 – to increase the quality of student work, give them an audience20:35 – students have stories to tell and they just don't know how21:00 – music, curiosity, passion, engagement, poetry, content areas22:00 – ChatGPT is the Coca-Cola of AI22:30 – there are a lot of AI chatbot options available, and a number are free23:45 – image, audio, video “categories” of AI24:30 – exponential vs. additive potential of AI growth27:05 – machine learning, language comprehension, image recognition28:00 – Neuralink – a brain interface chip – drive a computer with your mind alone28:45 – Blindsight – resolution improving and possibly humans with infared vision30:30 – the connection between and mutual dependence across: Power the energy sector, AI data and power consumption, national security, and climate concerns32:25 – data sets (prior knowledge), compute power (processing time or general intelligence + effort), algorithms for training (teaching, formative assessment)34:40 – how AI entered the most recent presidential election conversation35:30 – military, environmental, academic, geopolitical, and economic growth concerns are inextricably connected with AI39:45 – Donald Dowdy, high school band director40:40 – Bruce Little, Art Education Practicum instructor, Georgia Southern University42:30 – honor, discipline, respect, the craft of teaching43:25 – You can't replace relationships with AI BlindsightChatGPTClaudeCoach (Microsoft - reading support)Khanmigo (main page)Khanmigo for parentsKhanmigo for teachersMagic SchoolMicrosoft CopilotNeuralinkPerplexity Background image on cover is by Albert Stoynov, on Unsplash. This image replaces the standard cover art by Simon Berger (details in the footer). Music for Lead. Learn. Change. is Sweet Adrenaline by Delicate BeatsPodcast cover art is a view from Brunnkogel (mountaintop) over the mountains of the Salzkammergut in Austria, courtesy of photographer Simon Berger, published on www.unsplash.com.Professional Association of Georgia EducatorsDavid's LinkedIn pageLead. Learn. Change. the bookInstagram - lead.learn.change

Today, we're talking about building real AI products with foundation models. Not toy demos, not vibes. We'll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who's been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. Episode sponsors Posit NordStellar Talk Python Courses Links from the show Hugo Bowne-Anderson: x.com Vanishing Gradients Podcast: vanishinggradients.fireside.fm Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm Building LLM Applications for Data Scientists and Software Engineers: maven.com marimo: a next-generation Python notebook: marimo.io DevDocs (Offline aggregated docs): devdocs.io Elgato Stream Deck: elgato.com Sentry's Seer: talkpython.fm The End of Programming as We Know It: oreilly.com LorikeetCX AI Concierge: lorikeetcx.ai Text to SQL & AI Query Generator: text2sql.ai Inverse relationship enthusiasm for AI and traditional projects: oreilly.com Watch this episode on YouTube: youtube.com Episode #526 deep-dive: talkpython.fm/526 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Google Q3 2025 Post-Mortem: AI Execution Over AI HypePost MortemIn this episode of Around the Desk, Sean Emory, Founder & CIO of Avory & Co., breaks down why investors are rewarding Google's spending while punishing others, and how its strategy from TPUs to Gemini shows real ROI in the new compute era.We cover:• Revenue acceleration across Search, YouTube, and Cloud (+15% to +34%)• Gemini's rapid growth to 650M users, 300M paid• Why CAPEX to $93B is seen as productive, not reckless• Anthropic's commitment to TPUs and the growing Cloud backlog (+46%)• How AI integration is lifting engagement and monetization• Why Google's AI flywheel looks more efficient than peersDisclaimer Avory is an investor in AlphabetAvory & Co. is a Registered Investment Adviser. This platform is solely for informational purposes. Advisory services are only offered to clients or prospective clients where Avory & Co. and its representatives are properly licensed or exempt from licensure. Past performance is no guarantee of future returns. Investing involves risk and possible loss of principal capital. No advice may be rendered by Avory & Co. unless a client service agreement is in place.Listeners and viewers are encouraged to seek advice from a qualified tax, legal, or investment adviser to determine whether any information presented may be suitable for their specific situation. Past performance is not indicative of future performance.“Likes” are not intended to be endorsements of our firm, our advisors or our services. Please be aware that while we monitor comments and “likes” left on this page, we do not endorse or necessarily share the same opinions expressed by site users. While we appreciate your comments and feedback, please be aware that any form of testimony from current or past clients about their experience with our firm is strictly forbidden under current securities laws. Please honor our request to limit your posts to industry-related educational information and comments. Third-party rankings and recognitions are no guarantee of future investment success and do not ensure that a client or prospective client will experience a higher level of performance or results. These ratings should not be construed as an endorsement of the advisor by any client nor are they representative of any one client's evaluation.Please reach out to Houston Hess our head of Compliance and Operations for any further details. 

Discover how Siteimprove partnered with AWS to build an AI system processing 100 million accessibility checks monthly, making the web usable for 1.3 billion people with disabilities worldwide. Topics Include:AWS and Siteimprove partnered to solve digital accessibility at massive scale using AI.Digital accessibility ensures 1.3 billion people with disabilities can use web content effectively.Deep semantic understanding is needed to verify if content truly matches its descriptions.Siteimprove processes 75 million webpages across government, healthcare, and education sectors daily.The challenge required AWS infrastructure beyond just AI models for cost-effective scaling.Their platform unifies accessibility checks with SEO, analytics, and content performance tools.Business requirements included enterprise security, multi-region support, and flexible pricing models.They built three processing patterns: interactive conversations, overnight batch, and high-priority async.The AI Accelerator framework separates business logic from model adapters for easy expansion.Intelligent routing sends simple checks to Nova micro, complex ones to Nova Pro.Production system now processes over 100 million accessibility checks monthly using Bedrock Batch.Key lessons: cross-region inference reduces latency, prompt optimization crucial, special characters increase hallucination. Participants:Hamed Shahir - Director of AI, SiteimproveDavid Kaleko - Senior Applied Scientist, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Technology can scale almost everything—except human experience. In a world driven by efficiency, what does it mean to design for how people truly feel? It's about transforming user interactions into ongoing insight and innovation, rooted in empathy and understanding.  This week, Dave, Esmee and Rob talk to Kevin Magee, Chief Technology Officer at All human about helping organizations transform customer experiences with a focus on design, engineering, and what is called "digital performance."  TLDR:00:41 Introduction of Kevin Magee with Guinness or sparkling water?03:23 Rob wonders, is Apple really opening up its ecosystem?11:40 Deep dive with Kevin into design, engineering, and digital performance36:30 How tools built for one purpose can transform entire systems48:35 Weekend city breaks and pursuing a master's in psychology  GuestKevin Magee: https://www.linkedin.com/in/kevinmagee/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Join William Collins and Evyonne Sharp as they catch up on all things AI. They discuss the AI bubble and how it relates to venture capital, stock, and company evaluations. They talk about the AI experience for the average person, the adoption rate of AI tools, and how the AI infrastructure buildout might affect the... Read more »

Archer's Global Head of Engineering reveals how they're using Amazon Bedrock to help enterprises avoid billions in regulatory fines by transforming complex compliance laws into actionable AI-powered workflows.Topics Include:James Griffith, VP Engineering at Archer, leads development for risk and compliance solutionsArcher helps enterprises navigate the complex world of regulatory compliance beyond outdated spreadsheetsSince 2009, banks alone have been fined $342 billion by regulators worldwideEven "deregulated" Texas added 1,100 new laws in just one legislative sessionRegulatory data exists online but is overwhelming—too much for humans to processArcher built an AI pipeline: ingesting regulations, extracting obligations, and generating compliance controlsAmazon Bedrock eliminated the need to build ML infrastructure or hire specialized teamsModel interchangeability let them switch between Claude and Llama with just clicksBuilt-in guardrails prevented users from misusing AI without custom security developmentFrom initial vision to working product took just six months using BedrockDifferent AI models deploy globally, adapting to each country's unique regulatory stanceEngineers experiment safely with AI using Bedrock, preparing the team for the futureParticipants:James Griffith – Global Head of Engineering, ArcherSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Building a UI in Python usually means choosing between "quick and limited" or "powerful and painful." What if you could write modern, component-based web apps in pure Python and still keep full control? NiceGUI, pronounced "Nice Guy" sits on FastAPI with a Vue/Quasar front end, gives you real components, live updates over websockets, and it's running in production at Zauberzeug, a German robotic company. On this episode, I'm talking with NiceGUI's creators, Rodja Trappe and Falko Schindler, about how it works, where it shines, and what's coming next. With version 3.0 releasing around the same time this episode comes out, we spend the end of the episode celebrating the 3.0 release. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Rodja Trappe: github.com Falko Schindler: github.com NiceGUI 3.0.0 release: github.com Full LLM/Agentic AI docs instructions for NiceGUI: github.com Zauberzeug: zauberzeug.com NiceGUI: nicegui.io NiceGUI GitHub Repository: github.com NiceGUI Authentication Examples: github.com NiceGUI v3.0.0rc1 Release: github.com Valkey: valkey.io Caddy Web Server: caddyserver.com JustPy: justpy.io Tailwind CSS: tailwindcss.com Quasar ECharts v5 Demo: quasar-echarts-v5.netlify.app AG Grid: ag-grid.com Quasar Framework: quasar.dev NiceGUI Interactive Image Documentation: nicegui.io NiceGUI 3D Scene Documentation: nicegui.io Watch this episode on YouTube: youtube.com Episode #525 deep-dive: talkpython.fm/525 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: Cyclopts: A CLI library * The future of Python web services looks GIL-free* * Free-threaded GC* * Polite lazy imports for Python package maintainers* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Cyclopts: A CLI library A CLI library that fixes 13 annoying issues in Typer Much of Cyclopts was inspired by the excellent Typer library. Despite its popularity, Typer has some traits that I (and others) find less than ideal. Part of this stems from Typer's age, with its first release in late 2019, soon after Python 3.8's release. Because of this, most of its API was initially designed around assigning proxy default values to function parameters. This made the decorated command functions difficult to use outside of Typer. With the introduction of Annotated in python3.9, type-hints were able to be directly annotated, allowing for the removal of these proxy defaults. The 13: Argument vs Option Positional or Keyword Arguments Choices Default Command Docstring Parsing Decorator Parentheses Optional Lists Keyword Multiple Values Flag Negation Help Defaults Validation Union/Optional Support Adding a Version Flag Documentation Brian #2: The future of Python web services looks GIL-free Giovanni Barillari “Python 3.14 was released at the beginning of the month. This release was particularly interesting to me because of the improvements on the "free-threaded" variant of the interpreter. Specifically, the two major changes when compared to the free-threaded variant of Python 3.13 are: Free-threaded support now reached phase II, meaning it's no longer considered experimental The implementation is now completed, meaning that the workarounds introduced in Python 3.13 to make code sound without the GIL are now gone, and the free-threaded implementation now uses the adaptive interpreter as the GIL enabled variant. These facts, plus additional optimizations make the performance penalty now way better, moving from a 35% penalty to a 5-10% difference.” Lots of benchmark data, both ASGI and WSGI Lots of great thoughts in the “Final Thoughts” section, including “On asynchronous protocols like ASGI, despite the fact the concurrency model doesn't change that much – we shift from one event loop per process, to one event loop per thread – just the fact we no longer need to scale memory allocations just to use more CPU is a massive improvement. ” “… for everybody out there coding a web application in Python: simplifying the concurrency paradigms and the deployment process of such applications is a good thing.” “… to me the future of Python web services looks GIL-free.” Michael #3: Free-threaded GC The free-threaded build of Python uses a different garbage collector implementation than the default GIL-enabled build. The Default GC: In the standard CPython build, every object that supports garbage collection (like lists or dictionaries) is part of a per-interpreter, doubly-linked list. The list pointers are contained in a PyGC_Head structure. The Free-Threaded GC: Takes a different approach. It scraps the PyGC_Head structure and the linked list entirely. Instead, it allocates these objects from a special memory heap managed by the "mimalloc" library. This allows the GC to find and iterate over all collectible objects using mimalloc's data structures, without needing to link them together manually. The free-threaded GC does NOT support "generations” By marking all objects reachable from these known roots, we can identify a large set of objects that are definitely alive and exclude them from the more expensive cycle-finding part of the GC process. Overall speedup of the free-threaded GC collection is between 2 and 12 times faster than the 3.13 version. Brian #4: Polite lazy imports for Python package maintainers Will McGugan commented on a LI post by Bob Belderbos regarding lazy importing “I'm excited about this PEP. I wrote a lazy loading mechanism for Textual's widgets. Without it, the entire widget library would be imported even if you needed just one widget. Having this as a core language feature would make me very happy.” https://github.com/Textualize/textual/blob/main/src/textual/widgets/__init__.py Well, I was excited about Will's example for how to, essentially, allow users of your package to import only the part they need, when they need it. So I wrote up my thoughts and an explainer for how this works. Special thanks to Trey Hunner's Every dunder method in Python, which I referenced to understand the difference between __getattr__() and __getattribute__(). Extras Brian: Started writing a book on Test Driven Development. Should have an announcement in a week or so. I want to give folks access while I'm writing it, so I'll be opening it up for early access as soon as I have 2-3 chapters ready to review. Sign up for the pythontest newsletter if you'd like to be informed right away when it's ready. Or stay tuned here. Michael: New course!!! Agentic AI Programming for Python I'll be on Vanishing Gradients as a guest talking book + ai for data scientists OpenAI launches ChatGPT Atlas https://github.com/jamesabel/ismain by James Abel Pets in PyCharm Joke: You're absolutely right

Arctic Wolf's Dean Teffer reveals how they transformed security operations by processing one trillion daily alerts with AI, and shares hard-won lessons from operationalizing AI in production SOC environments Topics Include:Arctic Wolf processes one trillion security alerts daily across 10,000 global customersSecurity operations remained stubbornly human-mediated due to constantly evolving threats and infrastructure complexityDean explains why platformizing data creates a virtuous cycle enabling AI automationTraditional ML models couldn't handle SOC's situational complexity, leading to LLM adoptionArctic Wolf's unique advantage: direct access to 1000+ SOC analysts for continuous feedbackAWS partnership began with governance concerns about data privacy and model training"Centaur Chess" approach: AI-human teams consistently outperform either alone in cybersecurityThree-generation AI evolution: from personal use to prompt engineering to expert-tuned modelsThree-day AWS hackathon achieved breakthroughs that would've taken months independentlySOC analysts actively shaped AI responses through iterative feedback during live operationsObservability proved critical: tracking performance, quality metrics, and response times for continuous improvementMeasurable impact achieved: automated alert orientation dramatically increased analyst efficiency and response quality Participants:Dean Teffer - VP of AI/ML, Arctic WolfAswin Vasudevan - Senior ISV Solution Architect, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Co-hosts Mark Thompson and Steve Little explore how Google's Nano Banana photo restoration tool will revolutionize image restoration by integrating with Adobe Photoshop. This move will greatly reduce unintended changes to historical photos when editing them with AI.Next, they unpack OpenAI's move to make ChatGPT Projects available to free-tier users, making research organization more accessible for genealogists.This week's Tip of the Week provides essential guidance on the responsible use AI when editing historical photos using AI tools like Nano Banana, ensuring transparency and trust in historical photographs.In RapidFire, they cover OpenAI's new Sora 2 AI-video social media platform, Claude's new ability to create and edit Microsoft Office files, memory features in Claude Projects, advancements in local language models, and how OpenAI's massive infrastructure deals are changing the AI landscape.Timestamps:In the News:02:43 Adobe improves historical photo restoration by adding Nano Banana to Photoshop09:34 ChatGPT Projects are Now FreeTip of the Week:13:36 Citations for AI-Restored Images Build Trust in AI-Modified PhotosRapidFire:21:24 Sora 2 Goes Social27:23 Claude Adds Microsoft Office Creation and Editing34:26 Memory Features Come to Claude Projects38:32 Apple and Amazon both create Local Language Model tools44:47 OpenAI's Big Data Centre Deal with Oracle Resource LinksOpenAI announces free access to ChatGPT Projectshttps://help.openai.com/en/articles/6825453-chatgpt-release-notesEngadget: OpenAI Rolls Out ChatGPT Projects to Free Usershttps://www.engadget.com/ai/openai-rolls-out-chatgpt-projects-to-free-users-215027802.htmlForbes: OpenAI Makes ChatGPT Projects Freehttps://www.forbes.com/sites/quickerbettertech/2025/09/14/small-business-technology-roundup-microsoft-copilot-does-not-improve-productivity-and-openai-makes-chatgpt-project-free/Responsible AI Photo Restorationhttps://makingfamilyhistory.com/responsible-ai-photo-restoration/Claude now has memory, but only for certain usershttps://mashable.com/article/anthropic-claude-ai-now-has-memory-for-some-usersNew Apple Intelligence features are available todayhttps://www.apple.com/newsroom/2025/09/new-apple-intelligence-features-are-available-today/Introducing Amazon Lens Livehttps://www.aboutamazon.com/news/retail/search-image-amazon-lens-live-shopping-rufusAmazon Lens Live Can Scan and Pull Up Matcheshttps://www.pcmag.com/news/spot-an-item-you-wish-to-buy-amazon-lens-live-can-scan-and-pull-up-matchesA Joint Statement from OpenAI and Microsoft About Their Changing Partnershiphttps://openai.com/index/joint-statement-from-openai-and-microsoft/The Verge: OpenAI and Oracle Pen $300 Billion Compute Dealhttps://www.theverge.com/ai-artificial-intelligence/776170/oracle-openai-300-billion-contract-project-stargateReuters: OpenAI and Oracle Sign $300 Billion Computing Dealhttps://www.reuters.com/technology/openai-oracle-sign-300-billion-computing-deal-wsj-reports-2025-09-10/?utm_source=chatgpt.comTagsArtificial Intelligence, Genealogy, Family History, Photo Restoration, AI Tools, OpenAI, Google, Adobe Photoshop, ChatGPT Projects, Nano Banana, Image Editing, AI Citations, Sora 2, Video Generation, Claude, Microsoft Office, Apple Intelligence, Amazon Lens, Oracle, Cloud Computing, Local Language Models, AI Infrastructure, Responsible AI, Historical Photos

Learn how DataStax transformed customer feedback into a hybrid search solution that powers Fortune 500 companies through their partnership with AWS.Topics Include:AWS and DataStax discuss how quality data powers AI workloads and applications.DataStax built on Apache Cassandra powers Starbucks, Netflix, and Uber at scale.Their TIL app collects outside-in customer feedback to drive product development decisions.Hybrid search and BM25 kept trending in customer requests for several months.Customers wanted to go beyond pure vector search, not specifically BM25 itself.Research showed hybrid search improves accuracy up to 40% over single methods.ML-based re-rankers substantially outperform score-based ones despite added latency and cost.DataStax repositioned their product as a knowledge layer above the data layer.Developer-first design prioritizes simple interfaces and eliminates manual data modeling headaches.Hybrid search API uses simple dollar-sign parameters and integrates with Langflow automatically.AWS PrivateLink ensures security while Graviton processors boost efficiency and tenant density.Graviton reduced total platform operating costs by 20-30% with higher throughput.Participants:Alejandro Cantarero – Field CTO, AI, DataStaxRuskin Dantra - Senior ISV Solution Architect, AWS, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Google and Anthropic just officially announced their cloud computing deal, in which Google will supply Anthropic with up to 1 million of its in-house AI chips. The deal is expected to generate well over 1 gigawatt of compute power by next year. Plus, Street sentiment has cooled on Intel, with concerns around unanswered questions and level of AI exposure.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us a textIn this episode of What's New in Cloud FinOps, Stephen Old and Frank discuss the latest updates in cloud computing, including AWS Outposts' integration with third-party storage, new Amazon EC2 Mac instances, Azure's managed services, and Google Cloud VM Engine updates. They also explore pricing changes in Azure, the deprecation of Azure Machine Learning data labeling, and the introduction of new metrics in software development. The conversation highlights the importance of sustainability in cloud services and concludes with reflections on the podcast's five-year anniversary.TakeawaysAWS Outposts now supports third-party storage integration with Dell and HPE.Amazon EC2 introduces new Mac instances for developers.Azure managed services now include Grafana dashboards at no extra cost.Google Cloud VM Engine V1 SKUs are now end of sale.Azure UltraDisk pricing has been reduced significantly in specific regions.Azure Machine Learning data labeling will be deprecated by 2026.AWS Transform Assessment helps visualize storage migration benefits.New cost to serve software metric introduced by AWS.Cortex Framework now deploys sustainability modules for SAP.AWS Lambda cold start billing changes will take effect in 2025.

The skills we teach today will decide the world we live in tomorrow but the digital skills gap is something we've been dealing with for decades, but it's growing faster than ever, it starts with kids and stretches all the way into late IT careers, and now we're finally taking a more connected, lifelong approach to closing it. This week, Dave, Esmee, and Rob speak with Mike Nayler, Director, National Security, Defense & Public Safety at AWS about the digital skills gap and explore how tech companies can help close it. TLDR:00:45 Introduction of Mike Nayler and the pros and cons of enterprise architects, based on a survey03:30 Rob is confused about AI replacing prompt engineers07:55 Conversation with Mike on the digital skills gap25:15 The real gap is between institutions and the people they aim to serve33:24 Mike heading back to school and writing essays againGuest Mike Nayler: https://www.linkedin.com/in/nayler/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Qlik's Field CTO for Generative AI Ryan Welsh reveals why 95% of enterprise AI projects fail and shares the three proven strategies the successful 5% use to deliver real business value from their AI investments.Topics Include:Qlik's Field CTO reveals why 95% of AI projects fail despite massive investmentsMIT research shows shocking failure rates, but 5% are achieving real business valueFirst major pitfall: Bad data foundations doom even the most sophisticated AI modelsSecond problem: Companies use generative AI when predictive models would work betterThird issue: Unnecessary complexity - AI projects disconnected from business outcomesSuccess secret #1: Ground AI in trusted enterprise data and user contextSome LLMs struggle at specific tasks like claims processing despite passing medical examsSuccess secret #2: Let AI learn from users while keeping data governance intactSuccess secret #3: Embed AI directly into existing workflows like SalesforceAgentic AI shifts from reactive Q&A to proactive systems that execute across platformsCase study: Lintek reduced churn 10% and saved millions using these principlesYour AI choices today will lock in your trajectory for years to comeParticipants:Ryan Welsh – Field CTO – Generative AI, QlikSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at aws.amazon.com/isv/

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Zack Holland, CEO & Founder of Averi AI, about his journey from early life in Ecuador's Amazon rainforest to building an AI-powered marketing platform. Zack shares lessons from early business ventures, the challenges of running startups, and the evolution of his entrepreneurial mindset. They explore how Averi AI helps marketers become more creative and efficient, the importance of data security and trust in AI, and what it takes to innovate in a rapidly evolving digital landscape.00:00 Introduction02:54 Marketing and AI Evolution05:58 Changing Digital Landscape09:04 Early Life and Influences12:02 From Ecuador to Utah18:00 First Business in High School29:53 LLMs and Entrepreneurship39:44 Lessons from Failure43:46 Starting a Marketing Agency56:19 Founding Avery AI01:08:10 Trust and Data Security01:13:14 Marketing and AI Adoption01:17:58 AI Challenges and Opportunities01:26:00 Contact Info Connect with Zack: Linkedin: https://www.linkedin.com/in/zackhollandX: https://x.com/zack_hollandMentioned in this Episode:Averi AI: https://www.averi.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

The AWS Meltdown: $50 Billion Lost and Nobody's Talking About It | Karel Cast 25-134 When Amazon Web Services (AWS) went down, the internet itself nearly broke — apps crashed, transactions froze, and the global economy took a $50 BILLION hit in just hours. But the real story isn't just about one outage… it's about how dangerously dependent we've become on a single company's servers. Karel breaks down the truth behind the AWS crash, why it's scarier than you think, and what it says about the fragile state of our tech-driven world. Also on today's show:

US correspondent Todd Zwillich spoke to Lisa Owen about Amazon's cloud computing platform causing a global internet outage, as well as part of the White House being demolished to accommodate a new ballroom.

The disruption and the ensuing exasperation it caused served as the latest reminder that 21st century society is increasingly dependent on just a handful of companies for much of its internet technology, which seems to work reliably until it suddenly breaks down. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

The disruption and the ensuing exasperation it caused served as the latest reminder that 21st century society is increasingly dependent on just a handful of companies for much of its internet technology, which seems to work reliably until it suddenly breaks down. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Python in 2025 is different. Threads really are about to run in parallel, installs finish before your coffee cools, and containers are the default. In this episode, we count down 38 things to learn this year: free-threaded CPython, uv for packaging, Docker and Compose, Kubernetes with Tilt, DuckDB and Arrow, PyScript at the edge, plus MCP for sane AI workflows. Expect practical wins and migration paths. No buzzword bingo, just what pays off in real apps. Join me along with Peter Wang and Calvin Hendrix-Parker for a fun, fast-moving conversation. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Calvin Hendryx-Parker: github.com/calvinhp Peter on BSky: @wang.social Free-Threaded Wheels: hugovk.github.io Tilt: tilt.dev The Five Demons of Python Packaging That Fuel Our ...: youtube.com Talos Linux: talos.dev Docker: Accelerated Container Application Development: docker.com Scaf - Six Feet Up: sixfeetup.com BeeWare: beeware.org PyScript: pyscript.net Cursor: The best way to code with AI: cursor.com Cline - AI Coding, Open Source and Uncompromised: cline.bot Watch this episode on YouTube: youtube.com Episode #524 deep-dive: talkpython.fm/524 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: * djrest2 -* A small and simple REST library for Django based on class-based views. Github CLI caniscrape - Know before you scrape. Analyze any website's anti-bot protections in seconds. *

Rapid7's Vice President of Data and AI Laura Ellis shares how they built an AI-first cybersecurity platform by investing in AI platform AND data infrastructure simultaneously.Topics Include:Rapid7 processes massive cybersecurity data across exposure management, threat detection, and managed SOC.84% of security analysts want to quit due to data overload burnout.Challenge: investing in AI platform AND data infrastructure simultaneously, not sequentially.Built security data lake with AWS, unified IDs, and standardized schemas across products.Used traditional machine learning for 10 years before generative AI emerged.Generative AI raised questions about business impact; agentic AI enables full automation.Chose AWS for scale, model marketplace flexibility, and true partnership on capacity.Co-development incubator with SOC team proved critical: equal responsibility, full-time collaboration.Launched alert triage automation, SOC assistant chatbot, and incident report generation tools.Built AI platform with guardrails after pen testers generated cookie recipes costing money.One agentic feature initially cost-estimated at $140 million before optimization and guidance.Future: more AI features, granular customer configuration, and bring-your-own-model capabilities.Participants:Laura Ellis – Vice President, Data & AI, Software Engineering, Rapid7See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Kat's on the road, and in a haunted hotel...which begs the question: do you believe in ghosts? We segue (beautifully) into talking about the cloud at 5:05 into the episode if the ethereal doesn't do it for you. From dispelling common myths to highlighting benefits for small businesses, we've got you covered. We all use it every day, possibly without knowing it. Kat even makes this about Cisco at 15:20 and we highlight what role Cisco plays in the cloud. If you're interested what Cisco has in terms of cloud networking, check it out here: https://www.cisco.com/site/us/en/solutions/small-business/index.html#tabs-a107e9a621-item-6caff3e5bb-tab

AP correspondent Karen Chammas reports an Amazon outage has disrupted global online services.

Derek Champagne talks with Sramana Mitra. Sramana is the founder and CEO of One Million by One Million (1Mby1M), the world's first and only global virtual incubator/accelerator. Its goal is to help a million entrepreneurs globally reach a million dollars in annual revenue, build a trillion dollars in global GDP, and create 10 million jobs.Since its founding in 2010, 1Mby1M has become a powerful platform for democratization of entrepreneurship acceleration.Sramana also developed 1Mby1M's Incubator-in-a-Box methodology for Corporate Incubation that is used by enterprises to manage internal and external innovation endeavors.In 2015, LinkedIn named Sramana one of their Top 10 Influencers alongside Bill Gates and Richard Branson.Sramana has been an entrepreneur and a strategy consultant in Silicon Valley since 1994. Her fields of experience span from hardcore technology disciplines like Artificial Intelligence, Cloud Computing and Semiconductors, to sophisticated consumer marketing industries including e-commerce, fashion and education.As an entrepreneur CEO, Sramana founded three companies: Dais (off-shore software services), Intarka (sales lead generation and qualification software using Artificial Intelligence algorithms; VC: NEA) and Uuma (online personalized store for selling clothes using Expert Systems software; VC: Redwood). Two of these were acquired, while the third received an acquisition offer from Ralph Lauren which the company did not accept.As strategy consultant, Sramana has consulted with over 80 companies, including public companies such as SAP, Cadence Design Systems, Webex, KLA-Tencor, Best Buy, MercadoLibre and Tessera among others. Her work has also included numerous startups and VCs.Sramana has a Masters degree in EECS from MIT and a Bachelors degree in Computer Science and Economics from Smith College.From 2000 to 2004, Sramana chaired the MIT Club of Northern California's entrepreneurship program in Silicon Valley.Learn more at www.1Mby1M.comBusiness Leadership Series Intro and Outro music provided by Just Off Turner: https://music.apple.com/za/album/the-long-walk-back/268386576

Topics covered in this episode: * PyPI+* * uv-ship - a CLI-tool for shipping with uv* * How fast is 3.14?* * air - a new web framework built with FastAPI, Starlette, and Pydantic.* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: PyPI+ Very nice search and exploration tool for PyPI Minor but annoying bug: content-types ≠ content_types on PyPI+ but they are in Python itself. Minimum Python version seems to be interpreted as max Python version. See dependency graphs and more Examples content-types jinja-partials fastapi-chameleon Brian #2: uv-ship - a CLI-tool for shipping with uv “uv-ship is a lightweight companion to uv that removes the risky parts of cutting a release. It verifies the repo state, bumps your project metadata and optionally refreshes the changelog. It then commits, tags & pushes the result, while giving you the chance to review every step.” Michael #3: How fast is 3.14? by Miguel Grinberg A big focus on threaded vs. non-threaded Python Some times its faster, other times, it's slower Brian #4: air - a new web framework built with FastAPI, Starlette, and Pydantic. An very new project in Alpha stage by Daniel & Audrey Felderoy, the “Two Scoops of Django” people. Air Tags are an interesting thing. Also Why? is amazing “Don't use AIR” “Every release could break your code! If you have to ask why you should use it, it's probably not for you.” “If you want to use Air, you can. But we don't recommend it.” “It'll likely infect you, your family, and your codebase with an evil web framework mind virus, , …” Extras Brian: Python 3.15a1 is available uv python install 3.15 already works Python lazy imports you can use today - one of two blog posts I threatened to write recently Testing against Python 3.14 - the other one Free Threading has some trove classifiers Michael: Blog post about the book: Talk Python in Production book is out! In particular, the extras are interesting. AI Usage TUI Show me your ls Helium Browser is interesting. But also has Python as a big role. GitHub says Languages Python 97.4%

Industry leaders from Coder, Scale AI, and Suger reveal why 95% of AI pilots fail—and share the frameworks that actually work to get agents into production.Topics Include:Panel features leaders from Coder, Scale AI, and Suger discussing agentic AI.MIT report reveals 95% of AI pilots fail to reach production.Challenges are rarely technical—they're organizational, mindset, and people-driven instead.Companies lack documented tribal knowledge needed to train agents effectively.Many organizations attempt AI where deterministic, rules-based automation would work better."Freestyle agents" concept: Some problems shouldn't be solved by agents at all.Regulated industries struggle when asking agents to handle highly differentiated, complex tasks.Common mistakes: building one universal agent or separate agents for every use case.Post-billing workflows and business-critical operations aren't ready for AI's black box.VCs pressure companies to define "AI-native"—but nobody has clear answers yet.Scale AI uses five maturity levels; Coder uses three tiers for adoption.Success metrics span operational readiness, business impact, and technology performance indicators.Production requires data governance, context, A/B testing, and robust fallback mechanisms.Even Anthropic uses agents conservatively: research tasks and log triage, no write-access.Path to 50% success requires agile frameworks, people change, and proper AI talent.Participants:Ben Potter - VP of Product, CoderRaviteja Yelamanchili - Head of Solutions Engineering, Scale AIJon Yoo - CEO, SugerAdam Ross - US, Partner Sales Sr. Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organisations face—sometimes getting a little messy along the way. We're launching a special AI mini-series exploring how artificial intelligence is reshaping industries. Each episode dives into key themes like scaling AI, societal impact, leadership, sustainability, and the challenges ahead. Join us for fresh insights and bold conversations on the future of intelligent systems.  This week, Dave, Esmee, and Rob kick off the AI mini-series with Craig Suckling, CAIO at Capgemini and co-host of this special edition. The episode is inspired by “Riding the AI Whirlwind,” Gartner's 2025 strategic predictions report, which urges organizations to act boldly on AI's potential while managing risks like rising costs and privacy concerns  TLDR:00:40 – Introduction of Craig Suckling and launch of the AI mini-series02:38 – Summary of three key insights and strategic recommendations from Gartner's “Riding the AI Whirlwind” report23:03 – Strategic planning assumptions: what they mean for business and tech leaders41:40 – Sam Altman's top three concerns about the future of AI49:35 – What key topics remain unaddressed?51:00 – What to expect from the AI mini-series featuring industry leadersHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Michael Reid went from studying aerospace engineering to becoming CEO at Megaport, a global network-as-a-service platform. How did he get there, and what can we learn from his journey? We walk his career path, including a pivotal role scaling ThousandEyes from 74 million to over 2.4x ARR post-acquisition, and how those experiences shaped his approach to... Read more »

Coralogix CEO Ariel Assaraf reveals how their observability lake lets companies own their data, reduce costs, and use AI agents to transform monitoring into actionable business intelligence.Topics Include:Coralogix solves observability scaling issues: tool disparity, sprawling costs, limited control.Streama parses data pre-ingestion; DataPrime queries directly on customer's own S3 buckets.AI will generate massive unstructured data, making observability challenges exponentially worse.CTOs should ask: Can observability data drive business decisions beyond just monitoring?Observability lake lets you own data in open format versus vendor lock-in.OLLI designed as research engine, not another natural language database interface.Ask business questions like "What's customer experience today?" instead of technical queries.Trading platform unified tools, reduced resolution time 6x, now uses for business intelligence.Future: Multiple AI personas, automated investigations, hypothesis-driven alerts without human prompting.AWS partnership enables S3 innovation, Bedrock models, and strong co-sell growth motion.Data sovereignty solved: customers control their S3, remove access anytime, own encryption.Business data experience will match consumer AI tools within two years fundamentally.Participants:Ariel Assaraf – Chief Executive Officer, CoralogixBoaz Ziniman – Principal Developer Advocate - EMEA, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Tech commentator Mark Pesce joins Kathryn to discuss how the South Korean government learned the hard way why back-ups to digital data are a good idea.

Python typing got fast enough to feel invisible. Pyrefly is a new, open source type checker and IDE language server from Meta, written in Rust, with a focus on instant feedback and real-world DX. Today, we will dig into what it is, why it exists, and how it plays with the rest of the typing ecosystem. We have Abby Mitchell, Danny Yang, and Kyle Into from Pyrefly here to dive into the project. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Abby Mitchell: linkedin.com Danny Yang: linkedin.com Kyle Into: linkedin.com Pyrefly: pyrefly.org Pyrefly Documentation: pyrefly.org Pyrefly Installation Guide: pyrefly.org Pyrefly IDE Guide: pyrefly.org Pyrefly GitHub Repository: github.com Pyrefly VS Code Extension: marketplace.visualstudio.com Introducing Pyrefly: A New Type Checker and IDE Experience for Python: engineering.fb.com Pyrefly on PyPI: pypi.org InfoQ Coverage: Meta Pyrefly Python Typechecker: infoq.com Pyrefly Discord Invite: discord.gg Python Typing Conformance (GitHub): github.com Typing Conformance Leaderboard (HTML Preview): htmlpreview.github.io Watch this episode on YouTube: youtube.com Episode #523 deep-dive: talkpython.fm/523 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: * Python 3.14* * Free-threaded Python Library Compatibility Checker* * Claude Sonnet 4.5* * Python 3.15 will get Explicit lazy imports* Extras Joke Watch on YouTube About the show Sponsored by DigitalOcean: pythonbytes.fm/digitalocean-gen-ai Use code DO4BYTES and get $200 in free credit Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Python 3.14 Released on Oct 7 What's new in Python 3.14 Just a few of the changes PEP 750: Template string literals PEP 758: Allow except and except* expressions without brackets Improved error messages Default interactive shell now highlights Python syntax supports auto-completion argparse better support for python -m module has a new suggest_on_error parameter for “maybe you meant …” support python -m calendar now highlights today's date Plus so much more Michael #2: Free-threaded Python Library Compatibility Checker by Donghee Na App checks compatibility of top PyPI libraries with CPython 3.13t and 3.14t, helping developers understand how the Python ecosystem adapts to upcoming Python versions. It's still pretty red, let's get in the game everyone! Michael #3: Claude Sonnet 4.5 Top programming model (even above Opus 4.1) Shows large improvements in reducing concerning behaviors like sycophancy, deception, power-seeking, and the tendency to encourage delusional thinking Anthropic is releasing the Claude Agent SDK, the same infrastructure that powers Claude Code, making it available for developers to build their own agents, along with major upgrades including checkpoints, a VS Code extension, and new context editing features And Claude Sonnet 4.5 is available in PyCharm too. Brian #4: Python 3.15 will get Explicit lazy imports Discussion on discuss.python.org This PEP introduces syntax for lazy imports as an explicit language feature: lazy import json lazy from json import dumps BTW, lazy loading in fixtures is a super easy way to speed up test startup times. Extras Brian: Music video made in Python - from Patrick of the band “Friends in Real Life” source code: https://gitlab.com/low-capacity-music/r9-legends/ Michael: New article: Thanks AI Lots of updates for content-types Dramatically improved search on Python Bytes (example: https://pythonbytes.fm/search?q=wheel use the filter toggle to see top hits) Talk Python in Production is out and for sale Joke: You do estimates?

Today we're turning tiny tips into big wins. Khuyen Tran, creator of CodeCut.ai, has shipped hundreds of bite-size Python and data science snippets across four years. We dig into open-source tools you can use right now, cleaner workflows, and why notebooks and scripts don't have to be enemies. If you want faster insights with fewer yak-shaves, this one's packed with takeaways you can apply before lunch. Let's get into it. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Khuyen Tran (LinkedIn): linkedin.com Khuyen Tran (GitHub): github.com CodeCut: codecut.ai Production-ready Data Science Book (discount code TalkPython): codecut.ai Why UV Might Be All You Need: codecut.ai How to Structure a Data Science Project for Readability and Transparency: codecut.ai Stop Hard-coding: Use Configuration Files Instead: codecut.ai Simplify Your Python Logging with Loguru: codecut.ai Git for Data Scientists: Learn Git Through Practical Examples: codecut.ai Marimo (A Modern Notebook for Reproducible Data Science): codecut.ai Text Similarity & Fuzzy Matching Guide: codecut.ai Loguru (Python logging made simple): github.com Hydra: hydra.cc Marimo: marimo.io Quarto: quarto.org Show Your Work! Book: austinkleon.com Watch this episode on YouTube: youtube.com Episode #522 deep-dive: talkpython.fm/522 Episode transcripts: talkpython.fm Theme Song: Developer Rap