Podcasts about Stack overflow

The company is now supplying structured technical answers for training. Its moderation history is being used as a quality benchmark. Experts say this gives them leverage in the AI ecosystem.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Stack Overflow's new AI plans cater to small developers and large enterprises alike. Users report smoother access and faster query results. Experts predict rapid adoption in the tech community.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Companies can buy tailored engineering datasets. The platform is customizing content by domain. Revenue diversification is the goal.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The service gives companies direct access to curated material. It accelerates model tuning. Interest has already surged.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Executives say the pivot is essential for growth. New tools support enterprise customers. The plan is bold but promising.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The site is leaning fully into data licensing deals. Leaders believe their curated content is uniquely valuable. Critics worry this changes the culture of the platform.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The human moderation layer adds trust. Labs say it reduces hallucinations. The company is monetizing that credibility.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Past contributions are now part of modern AI pipelines. The company is formalizing this role. Labs appreciate the authenticity of the data.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The company is bundling answers, metadata, and code. AI companies get clean training material out of the box. The pivot is gaining traction.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The plans offer flexibility for startups and large enterprises. This expands their customer base significantly. The pivot appears well-thought-out.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we break down Stack Overflow's strategic shift from a Q&A platform to a major supplier of training data for AI systems. We explore why the company is repositioning itself and what this means for developers and the future of community-generated knowledge.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Zap's Fuze-3 device has been firing pulses of plasma at the company's headquarters in Seattle, and the results of those experiments will ultimately inform the design of the company's future demonstration plants. The Fuze-3 device was able to compress a soup of charged particles to more than two hundred thirty two thousand PSI and heat it to more than 21 million degrees Fahrenheit. Also, Stack Overflow wants to remake its classic problem-solving forum into a tool for translating human expertise into an AI-accessible format. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Conor and Bryce record live from C++ Under the Sea! We interview Ray and Paul from NVIDIA, talk about Parrot, scans and more!Link to Episode 260 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterAbout the Guests:Ray is a Senior Systems Software Engineer at NVIDIA since 2022. Studied Software Engineering at the University of Amsterdam. Founded the Dutch C++ Meetup in 2013 and co-organizes C++ Under the Sea since 2023. He has been programming for more than 25 years, his journey began on his father's Panasonic CF-2700 MSX--and has been hooked ever since. He is also 'the listener' of ADSP the podcast.Paul Grosse-Bley was first introduced to parallel programming with C+MPI at a student exchange to Umeå (Sweden) in 2017 while studying Physics. In the following years he learned more about MPI, OpenMP, OpenACC, Thrust/parSTL and CUDA C++. After finishing his Master's degree in Physics at Heidelberg University (Germany) in 2021, he became a PhD candidate in Computational Science and Engineering researching the acceleration of iterative solvers in sparse linear algebra while being head-tutor for a course on GPU Algorithm Design. He learned using Thrust in 2019 shortly before learning C++ and became enamored with parallel algorithms which led to numerous answers on StackOverflow, contributions on GitHub, his NVIDIA internship in the summer of 2025 and full position starting in February of 2026.Show NotesDate Recorded: 2025-10-10Date Released: 2025-11-14NVIDIA BCM (Base Command Manager)C++11 std::ignoreC++20 std::bind_frontParrotParrot on GitHubParrot Youtube Video: 1 Problem, 7 Libraries (on the GPU)thrust::inclusive_scanSingle-pass Parallel Prefix Scan with Decoupled Look-back by Duane Merrill & Michael GarlandPrefix Sums and Their Applications by Guy BlellochParallel Prefix Sum (Scan) with CUDANVIDIA ON-Demand VideosA Faster Radix Sort ImplementationIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library

The Stack Overflow Developer Survey is an annual survey conducted by Stack Overflow that gathers comprehensive insights from developers around the world. It offers a valuable snapshot of the global developer community, covering a wide range of topics such as preferred programming languages, tools, and technologies. Jody Bailey is the Chief Product and Technology Officer The post The 2025 Stack Overflow Developer Survey with Jody Bailey and Erin Yepis appeared first on Software Engineering Daily.

Does generative AI level the playing field between a junior and an experienced developer? Or does experience matter more than ever? To get a real-world perspective, we sat down with two Nashville Software School (NSS) graduates now working together at Purity Health: Ripal Patel, an alum of Web Development Evening Cohort 8 and developer with five years of experience, and Drew Goodman, a 2024 graduate from Web Development Cohort 70. They share their perspectives on climbing the agentic AI learning curve, from their initial fears about AI to how it's already changing their daily workflows 02:08 - Meet Ripal: From Healthcare to Software Development 05:18 - Ripal's Initial Hesitation About AI 08:02 - Meet Drew: From Finance to a New Career in Tech 09:41 - Drew's Experience in a Slower Job Market 14:46 - Ripal's View: Did Experience Help in the AI Class? 18:10 - Drew's View: AI, Experience, and the Power to 'Screw Things Up' 19:37 - Aha Moment: 'It's Not Gonna Take My Job' 22:09 - How AI Changes the Developer Workflow: More Time Reviewing 23:41 - How AI Helps Junior Devs: More Time for System-Level Learning 26:09 - Key Mental Skill for AI: Breaking Down Big Tasks 30:33 - How is AI Different from Stack Overflow for Learning? 33:35 - Using AI to Learn a New Tech Stack on the Fly 36:04 - Workflow Breakdown: Agentic Mode vs. Ask Mode 40:29 - Using Guardrails and Instructions to Keep AI Consistent 44:53 - The NSS Mindset: 'Learning How to Learn' 46:41 - Advice for Experienced, Hesitant Developers 47:38 - Advice for Junior Developers Using AI 49:41 - Recommended Resources 52:07 - Tech Guilty Pleasures LINKS: Purity Health: https://www.purity-health.com/ Nashville Software School: https://nashvillesoftwareschool.com Should Startups Hire Junior Developers in the Age of AI? | Stories From The Hackery with David Andrews and Fletcher Watson of Purity Health: https://learn.nashvillesoftwareschool.com/blog/2025/10/29/should-startups-hire-junior-developers-in-the-age-of-ai-stories-from-the-hackery Agentic AI Tools GitHub Copilot: https://github.com/features/copilot Cursor: https://cursor.com Anthropic's Claude: https://www.anthropic.com/claude Community & Learning Resources Nashville Data Nerds: https://www.meetup.com/data-nerds/ FreeCodeCamp: https://www.freecodecamp.org/ Udemy: https://www.udemy.com/ Stack Overflow: https://stackoverflow.com/

The Stack Overflow Developer Survey is an annual survey conducted by Stack Overflow that gathers comprehensive insights from developers around the world. It offers a valuable snapshot of the global developer community, covering a wide range of topics such as preferred programming languages, tools, and technologies. Jody Bailey is the Chief Product and Technology Officer The post The 2025 Stack Overflow Developer Survey with Jody Bailey and Erin Yepis appeared first on Software Engineering Daily.

Jeff Atwood (co-founder of Stack Overflow & Discourse), appears to make a public threat against Omarchy & Ruby on Rails founder, DHH. Threats of violence are a pattern among Open Source Leftists.More from The Lunduke Journal: https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

When you use ChatGPT instead of Google, you're not just getting a faster answer—you're cutting out the content creators who made that knowledge possible. In this week's episode, we explore the economics of AI search, the death of Stack Overflow, the junior developer problem writ large, and why capitalism keeps pushing moral responsibility onto individuals who have the least power to change anything.Follow the show and be sure to join the discussion on Discord! Our website is workingcode.dev and we're @workingcode.dev on Bluesky. New episodes drop weekly on Wednesday.And, if you're feeling the love, support us on Patreon.With audio editing and engineering by ZCross Media.Full show notes and transcript here.

BlueRock is building an agentic security fabric to protect organizations deploying AI agents and MCP workflows. With a $25 Million Series A, founder Bob Tinker is tackling what he sees as a 10x larger opportunity than mobile's enterprise disruption. Bob previously scaled MobileIron from zero to $150 million in five years and took it public in 2014. In this episode of Category Visionaries, Bob shares the strategic mistakes that cost MobileIron its category positioning, why go-to-market fit is the missing framework between PMF and scale, and how B2B marketing has fundamentally transformed in just 18 months. Topics Discussed: Taking a company public: the killer marketing event versus the unexpected team psychology challenges of daily stock volatility Why agentic AI workflows create unprecedented security challenges at the action and data layer, not just prompts The strategic timing of category definition: MobileIron's cautionary tale of letting Gartner define you as "MDM" when customers bought for security Where enterprise buyers actually get advice now that Gartner's influence has diminished AEO (Answer Engine Optimization) replacing SEO as the primary discovery mechanism for B2B solutions Why 1.0 categories have fundamentally unclear ICPs versus 2.0/3.0 products with crisp buyer personas The "high urgency, low friction" framework for prioritizing what to build in nascent markets Go-to-market fit: the repeatable growth recipe that unlocks scaling post-PMF Unlearning as competitive advantage for second-time founders GTM Lessons For B2B Founders: Time your category noun definition strategically: MobileIron focused exclusively on solving the problem (the verb) but waited too long to influence category nomenclature. Gartner labeled it "Mobile Device Management" when customer purchase drivers were security-focused, not management. This misalignment constrained positioning for years with no way to correct it. The framework: lead with verb, but proactively shape the noun before external analysts do it for you. Bob's doing this differently at BlueRock by distinguishing "agentic action security" from "prompt security" early, even while the broader market sorts out AI security taxonomy. Use customer language as category discovery, not invention: Bob's breakthrough on BlueRock positioning came from asking prospects: "How would you describe what we do to your peers?" One prospect distinguished their focus on "the action side - taking AI and taking action on data and tools" versus prompt inspection and AI firewalls. This customer-generated framing revealed the natural fault lines in how practitioners think about the problem space. The tactical application: run this exact question with your first 10-15 qualified prospects and pattern-match their language, rather than workshopping category names internally. Engineer for the "high urgency, low friction" intersection: Bob's filtering criteria for BlueRock's roadmap requires both dimensions simultaneously. When a prospect revealed they were building their own MCP security tools - a signal of acute, unmet pain - they also asked BlueRock to add prompt security features. Bob's framework forced a "no" despite clear demand because it would violate low friction. The discipline: if a feature request fails either test (not urgent enough OR too much friction), it doesn't make the cut, even when prospects explicitly ask for it. Accept ICP ambiguity as a feature, not bug, of 1.0 markets: In 2.0/3.0 categories, you can target "VP of Detection & Response" with precision. In 1.0 markets like agentic security, Bob finds buyers across three distinct orgs: agentic development teams building secure-by-default systems, product security teams inside engineering (not under the CISO), and traditional security organizations. His thesis: this lack of crisp ICP definition is actually a reliable signal you're in a genuinely new market. The response: invest in community engagement across all three buyer types rather than forcing premature segmentation. Shift content strategy from SEO to AEO immediately: Bob identifies the clock speed of marketing change as "breathtaking" - what worked 18 months ago is obsolete. The specific shift: ranking above the fold in Google search is now irrelevant. What matters is appearing in the answer box that ChatGPT or Google Gemini surfaces above traditional results. This isn't incremental SEO optimization - it requires fundamentally restructuring content to feed LLM context windows and answer engines rather than keyword-optimizing for traditional search crawlers. Treat go-to-market fit as a distinct inflection point: Bob observed a consistent pattern across MobileIron, Box (Aaron Levie), Citrix (Mark Templeton), Palo Alto Networks (Mark McLaughlin), and SendGrid (Sameer Dholakia) - all hit PMF, hired salespeople aggressively, burned cash, and stalled growth while boards grew frustrated. The missing concept: PMF proves you can create value; GTM fit proves you can capture it repeatedly. It's the "repeatable growth recipe to find and win customers over and over again." The tactical implication: after PMF, resist pressure to scale headcount and instead obsess over making your first 3-5 sales cycles systematically repeatable before hiring your second AE. Build community as primary discovery in fragmented buyer markets: Bob's most different GTM motion versus five years ago: "We're just out talking to prospects and customers - individual reach outs, hitting people up on LinkedIn, posting in discussion boards, engaging with the community." This isn't supplemental to demand gen; it's replaced traditional top-of-funnel. When prospects exist across multiple personas without clear titles, community presence in Reddit, Stack Overflow, and LinkedIn becomes the only scalable discovery mechanism. The benchmark: successful new tech companies have built communities of early users before they've built repeatable sales motions. Practice systematic unlearning as second-time founder discipline: Bob's most personal insight: "What really got in my way wasn't what I needed to learn. It was what I needed to unlearn." The specific application: he's questioning his entire MobileIron marketing playbook because "blindly applying that eight-year-old playbook to marketing or sales will end in tears." His framework: periodic gut checks asking "What assumptions am I making? How should I think about this differently?" rather than letting inertia drive execution. The meta-lesson: success creates muscle memory that becomes liability without deliberate examination. Second-time founders should actively audit which reflexes to preserve versus discard. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Lena Ghamrawi, Sr. Privacy Counsel and Data Protection Officer at Stack Overflow, is the founder of The Privacy Coach, where she provides career coaching services to help folks pave their privacy path. In this episode, Ghamrawi joins host Taylor Fox to discuss consumer perspectives on privacy. For more about Lena, visit https://lenaghamrawi.com. • For more on cybersecurity, visit us at https://cybersecurityventures.com

Guy Zerega led sales and marketing at Stack Overflow, where he once hired me.Now he leads sales at Cyborg - they offer end-to-end encrypted inference data. This is a 101 on what matters in sales; especially to developers.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs.Links:    • Guy's Linkedin   • Guy's new startup, Cyborg 

Querida tecnología, en este episodio analizamos la encuesta de Stack Overflow 2025. Los temas fundamentales son: la inteligencia artificial, las tendencias en lenguajes de programación y herramientas, entre otroshttps://survey.stackoverflow.co/2025/developershttps://survey.stackoverflow.co/2025/technology#most-popular-technologieshttps://survey.stackoverflow.co/2025/ai

Hello nerds.When I first started interviewing Scott Santens years ago during the Nerds for Yang era, he was one of the most relentless and articulate advocates for universal basic income (UBI) in America. Back then, it felt like the country was on the verge of something big. Andrew Yang was on the debate stage making “Freedom Dividend” a household phrase. Silicon Valley technologists were whispering about automation in the same breath as moral responsibility. Even Republican voters were entertaining the idea that direct cash transfers might be less bureaucratic and more empowering than sprawling social programs.Fast forward to 2025, and the conversation feels quieter. The pandemic-era stimulus checks are long gone. Washington has reverted to tribal warfare. Meanwhile, AI is advancing faster than anyone—maybe even Scott and Andrew —predicted. The irony is thick: the very forces that made UBI seem like a radical idea a decade ago are now transforming entire industries before our eyes. And yet, the movement feels stuck in neutral.So when Scott rejoined me on Nerds for Humanity this month from his new base in Washington, D.C., I wanted to know: What happened? Why did UBI lose its moment? And is there a realistic path back to the mainstream before millions of Americans get left behind?The Move to D.C. and the Lost MomentScott began by explaining why he left New Orleans for D.C. a few years ago. “It just seemed that UBI was really a bigger part of the conversation,” he said. “I thought if the Democrats came in again in 2024, I could actually get some traction.”He laughs a little when he says that now. “That didn't end up happening,” he admitted, reflecting on how the Biden reelection froze the kind of idea competition that defined 2020. “The big problem was that Biden decided to run again, and there was no primary process. Then suddenly Kamala comes in and still no primary process. So there was no ideas competition. We really missed out on that.”That lack of competition, Scott argues, has a ripple effect. Political movements thrive on moments of contrast, when new ideas bump up against old dogmas and voters are forced to re-evaluate assumptions. The 2020 race—with Yang, Sanders, Warren, and others pitching structural reforms—was one of those rare idea-rich moments. 2024, by comparison, was a desert.As Scott put it bluntly: “We were close enough to taste it during the pandemic. It really felt like we were actually on the cusp of doing a monthly cash payment that could change things. But none of that happened.”He's not wrong. The COVID checks were, in effect, a large-scale experiment in direct income support. Poverty temporarily plummeted. Families caught their breath. Consumer demand stayed strong. And then we let it all expire.AI Ate the Jobs While America SleptWhat's striking about this quiet period, as I noted to Scott, is that the threat he and Yang warned about—the automation of work—is no longer hypothetical. Knowledge worker jobs are being eaten by AI faster than policy debates can catch up.“I'm a parent of two teenagers,” I told him. “Other parents are starting to wonder if a computer science degree is still the golden ticket. Should we be preparing our kids to be plumbers instead?”Scott nodded grimly. “It's disheartening,” he said. “Now that these impacts are here… this is the stuff that we've been warning about. It's not a sudden thing, but it does seem to already be impacting the entry-level job market.”He pointed to a convergence of pressures: corporate hiring freezes driven by uncertainty around tariffs, companies experimenting with AI productivity tools, and executives under shareholder pressure to “do more with less.” The result: stagnating headcount even in high-growth sectors.“We don't really need people that we likely would have if AI had not been introduced,” he said. I observed from Silicon Valley, “What we're seeing right now is that companies can grow revenue while keeping headcount flat.”It's not a collapse. It's a quiet deceleration—a slow bleed. And that's arguably more dangerous because it doesn't provoke a policy response. There's no headline-grabbing “AI layoffs.” Just the invisible absence of opportunities for millions of new grads.Even top business schools are struggling to place students. “It's like the hardest market in years,” Scott said, and I agreed. “If we hit a recession,” he warned, “that's when all these businesses really lean into productivity. The recession ends, and they realize they don't need those people back.”That scenario—automation accelerated by economic downturn—is the nightmare UBI advocates have been predicting for over a decade. Each downturn becomes a ratchet that permanently eliminates another layer of middle-class work.The Automation MirageWhen politicians talk about “bringing manufacturing jobs back,” Scott and I get visibly frustrated. “I don't think people realize—you don't need that many people in those factories anymore,” I said.He reminded me of a chart he once published showing that U.S. manufacturing output is higher than ever, even though manufacturing employment has fallen dramatically. “We're manufacturing more than ever, we just have fewer jobs,” he said. “If we did reshoring, sure, we could manufacture even more, but jobs would continue going down.”I brought up a U.S. tech investor who recently toured Chinese EV plants. “He said the number of BYD employees per car is something like a fifth of what it is for Ford or GM,” I told Scott. “If we build plants here, we're not going to hire 20 people per car—we'll hire four or five.”Scott didn't hesitate: “Exactly. The only way to bring it back is to minimize labor. American labor is expensive. You can't both re-shore and keep the same job intensity.”Then he pivoted to a deeper critique of political dishonesty. “Trump sold a lot of people false hope,” he said. “He told them, ‘Once I negotiate these trade deals, everything's gonna be back to post–World War II full employment.' But that's a lie. We've heard that lie over and over again, even from people in the AI world. They say this will create more jobs than it displaces. Come on. We all know the realities.”This is the paradox of modern capitalism: productivity growth has decoupled from employment growth. We make more stuff with fewer people. And our political imagination hasn't caught up to that new reality.From Careers to Gigs: The New NormalScott traced this shift back decades. “We know what happened when we displaced people from manufacturing jobs—they went lower down the ladder into lower-paying work,” he said. “You went from careers to gig labor.”He rattled off examples that have become painfully familiar: “People now earn extra money by signing up for Uber, delivering food, DoorDashing. There's just a transformation of what employment even means.”In Scott's view, the only logical response to this is UBI. “You need to make sure everyone actually gets basic income,” he said. “That helps feed demand for new jobs. If people's incomes fall as a result of AI, demand falls. And when demand falls, the entire economy reorients.”He pointed to a staggering statistic: “Right now, the top 10% are buying half of everything produced and sold in the U.S. It's a very unequal consumption economy. The markets start ignoring the basic needs of people and reorient around luxury experiences.”That imbalance, he argued, isn't just economic—it's political. “It leads to people getting violent. It's key to the erosion of democracy.”The Coming Middle-Class AwakeningIf there's any silver lining, I said, it's that the pain is spreading up the income ladder.“I think it's going to affect a lot of middle-class and upper-middle-class people in a way it hasn't before,” I said. “When Andrew talked about truck drivers losing jobs, people thought, ‘My kid's going to college, they'll be fine.' Now they're realizing maybe not.”Scott agreed. “We just didn't realize how fast it would hit arts, music, images, and photos. I didn't think about that. It took me by surprise.”I added, “When he said doctors and lawyers, it felt far away. Now you're like—oh s**t—that's happening right now.”He laughed and I added more examples. “People are winning court cases using ChatGPT as their attorney. And with tools like Sora and Grok Imagine, you can generate realistic videos and images instantly. There's no ground truth anymore.”That last point hits hard. “You just give people a reason to doubt it,” Scott said. “You can have fake security cam footage of Sam Altman stealing something, and people will believe it. Or you can have real footage of Trump doing something, and people won't.”When truth itself becomes negotiable, democracy can't function. Evidence is the oxygen of public accountability. Once it's gone, all we have left are teams—and team loyalty.The Tariff FantasyThat team loyalty came up again when I told Scott about a debate I'd had with a MAGA relative in Florida. My brother argued that Trump's tariffs would pay for his tax cuts. Scott immediately laughed. “Even assuming that were true—which it's not—you're still taxing the working and middle class to pay for tax cuts for the rich,” he said.He broke it down simply: “It doesn't make any sense to say, ‘Tariff revenue will cover it.' Who covers the tariff revenue? It's the consumers. And yet people believe it.”Scott sees this as part of the broader epistemic collapse—people believing “whatever their team is saying,” no matter how illogical. “It's impressive in some ways,” I said. “You can propose policies that hurt your base and they'll cheer you for it.” He nodded. “Yeah. It's really frustrating.”UBI Research: Misunderstood and MisreportedI asked Scott about recent UBI research that some media outlets described as “disappointing.” His response was both sharp and nuanced.“Those weren't negative results,” he said. “They were null results.” He walked me through three often-cited studies: Baby's First Years, the Denver Homeless Pilot, and Sam Altman's Worldcoin/Overture experiment.“The key is to understand what's being tested,” he explained. “These weren't saturation pilots. They gave money to small groups of individuals. But real universal basic income changes communities. It creates new demand, new jobs, new dynamics.”He contrasted these with the Alaska Permanent Fund, which distributes oil dividends to every state resident annually. “In Alaska, we saw an overall increase in employment due to the dividend,” he said. “Some people worked less, but the spending created new jobs.”That's the essence of his argument: if you only study individuals, you miss the macro effects.He was especially skeptical of the way media covered the Baby's First Years study, which found no measurable difference in children's brain development after four years of $333 monthly payments. “That's a null result, not a failure,” Scott said. “It doesn't mean UBI doesn't work. It just means we didn't see differences yet. Impacts often show up later in life.”He also noted that measuring brain development via EEG scans is an odd and narrow metric. “Maybe families were happier. Maybe they bought what they needed. That still matters.”The Secret Study and New FrontiersScott hinted that a major new study is underway. “There's a study I can't talk about,” he said, smiling, “but it's looking at something no other experiment has looked at. I'm excited for those results.”He also mentioned Jeff Atwood (co-founder of Stack Overflow) is funding a $50 million set of county-level pilots, focusing on rural areas. “That's exciting,” Scott said. “It's a different political slice, and it's potentially saturation-like.”Globally, he's watching Thailand closely. “They announced they were going to do a negative income tax starting in 2027,” he said. “If that happens, they'd be the first country in the world to have a basic income guarantee. It could reduce poverty by over 90%.”Then he sighed. “But the day after they announced it, their prime minister got fired. So who knows.”ITSA Foundation: Building UBI From the Ground UpScott's not just theorizing anymore. His ITSA Foundation is taking action with two ambitious projects launching next year.First, the Bootstraps documentary series, which follows families receiving a basic income to humanize the policy through storytelling. “Storytelling is key,” he said. “People need to feel it, not just read data.”Second, the Comingle app, which will create what he calls “a small basic income floor of around $50 per week without waiting for government.”“You can create it yourself, through community pooling,” he said. “If Bill Gates joined Comingle and put 7% of his income in, everyone's income would go up. Don't worry about him getting $50 a week—everyone benefits.”It's the kind of practical experimentation the movement needs: bottom-up systems proving that shared prosperity can be engineered today, not someday.Reflections: The Hard Politics of Intelligent ReformAfter the interview ended, I stayed live on the stream to share a few personal reflections—some of them, frankly, tinged with frustration.I told my audience that I'm a believer in two three-letter acronyms: UBI and RCV (ranked choice voting). I have conviction that both are essential for a healthier democracy and a fairer economy. Yet it's maddening how little traction they get compared to what dominates our discourse.This morning, I argued politics with another MAGA acquaintance on WhatsApp. He was fired up about “the trans agenda” and “illegals.” When I asked what he thought about RCV or UBI, he admitted he didn't know what they were.And that, I said, is the tragedy. Many voters are animated by cultural wedge issues that barely affect their lives, while transformative structural reforms barely register. People will march for hours over trans athletes, but not over gerrymandering, open primaries, or the collapse of middle-class livelihoods.Maybe that's why Scott is investing in storytelling. “You have to boil this down into a bumper sticker,” I said. “Or a story.” Policy briefs won't cut through a media ecosystem optimized for outrage.It's sobering to realize how little energy we allocate to existential issues—like the sustainability of democracy or the viability of a middle-class life in an AI-driven economy—compared to the performative culture wars that dominate cable news.A Political System Addicted to DistractionI sometimes wonder if America is capable of solving long-term problems anymore. We have the tools and the talent, but not the attention span.We obsess over symbolic fights while the foundations rot. Closed primaries keep extremists in power. Gerrymandered districts ensure incumbents never lose. The electoral incentives all point toward division, not solutions.UBI and RCV are, in many ways, tests of whether we can think systemically again—about incentives, about fairness, about the structural forces shaping our future. And right now, the answer seems to be: not yet.As I told my audience, “It's sad that people will march for red-meat issues where government isn't even the decisive actor, while ignoring how broken the system itself has become.”The AI asteroid is heading straight for us. Millions of jobs—white-collar jobs—are on the chopping block. And neither party is talking seriously about it. Not Trump, not Schumer, not Newsom. Maybe Andrew Yang. Maybe Buttigieg. Maybe Bernie. But as a national conversation? Crickets.What's Next: Awakening or DenialMy optimism, if you can call it that, lies in inevitability. The pain will broaden until reform becomes unavoidable. Middle-class professionals will begin to experience the same precarity that working-class Americans have faced for decades.The good news is that when comfortable people get uncomfortable, politics shifts. The bad news is that it often takes crisis to get there.UBI isn't charity. It's infrastructure for an economy that no longer guarantees stability through employment. It's the plumbing of a post-industrial democracy.Scott put it best when he said: “You have to make sure everyone actually gets basic income so you have that cash. That can feed demand for new jobs. Without it, demand falls, inequality grows, and democracy erodes.”A Call to the NerdsAs we wrapped, I asked Scott how people could stay involved. “Sign up at ItsaFoundation.org,” he said. “Subscribe to the newsletter. Next year we'll have the Bootstraps docu-series, the Comingle app, and events across the country to organize communities.”I told him I'd be cheering him on. Because, frankly, the next five years are going to test whether America is still capable of rational self-government—or if we've outsourced that too.If you've made it this far into this post, you're probably one of the few people left who actually cares about data, ideas, and structural reform. You're a nerd. And that's a good thing.But as I told my audience at the end of the livestream: being a nerd isn't enough. We need to organize, support, and amplify. If we don't, the algorithms will drown out the quiet voices of reason.So if you value this kind of long-form conversation—the kind you won't find on cable news—please consider becoming a Nerds for Humanity YouTube channel member. Memberships help cover the operating costs of the livestream and keep these discussions going. Members also get shout-outs on every show as a thank-you for keeping independent, data-driven political analysis alive.And if you can't join as a member, the next best thing you can do is like, share, and comment. That helps the algorithm surface this content to others who might just be waking up to the same questions we've been asking for years.Bye nerds. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit nerdsforhumanity.substack.com

C'est une petite révolution silencieuse qui pourrait changer la donne pour des millions de créateurs et d'éditeurs en ligne. Le géant du cloud Cloudflare vient de lancer un outil gratuit qui permet enfin de bloquer les robots d'intelligence artificielle venus aspirer les contenus du web pour entraîner leurs modèles.Jusqu'ici, les géants de l'IA pouvaient librement explorer les sites, collecter textes, images ou données pour nourrir leurs algorithmes — souvent sans consentement ni compensation. Cloudflare a donc décidé de reprendre la main en ajoutant une nouvelle couche de protection au fameux fichier robots.txt, celui que chaque site utilise pour indiquer aux robots ce qu'ils peuvent ou non indexer. Concrètement, l'entreprise introduit un système à trois feux tricolores.Le signal « search » autorise les moteurs de recherche à indexer le contenu de manière classique.« ai-input » gère l'accès des IA qui veulent utiliser ce contenu pour générer des réponses.Et « ai-train » détermine s'il peut servir à l'entraînement de nouveaux modèles.Autrement dit, un média pourra continuer à apparaître sur Google, tout en interdisant à ChatGPT, Claude ou Gemini de s'entraîner sur ses articles. Une innovation saluée par tout l'écosystème numérique. Reddit, Quora ou encore Stack Overflow y voient un moyen concret de « protéger Internet contre les abus et l'exploitation non autorisée du contenu ».Le constat de Matthew Prince, le patron de Cloudflare, est sans appel : « Internet ne peut pas attendre pendant que le contenu des créateurs est exploité à des fins lucratives par d'autres entreprises. » Et il y a urgence. La firme estime que le trafic des robots dépassera celui des humains d'ici 2029. Déjà, plus de 3,8 millions de sites bénéficient automatiquement de cette protection via les services Cloudflare. Et pour faciliter la vie des non-techniciens, la société a lancé ContentSignals.org, un générateur gratuit du code à insérer sur son site. Une initiative à la fois symbolique et stratégique : Cloudflare veut faire de son système le standard mondial d'un web où les créateurs gardent enfin le contrôle de leur œuvre. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Lena Ghamrawi, Sr. Privacy Counsel and Data Protection Officer at Stack Overflow, is the founder of The Privacy Coach, where she provides career coaching services to help folks pave their privacy path. In this episode, Ghamrawi joins host Taylor Fox to discuss what goes into managing a privacy program at organizations of all types and sizes. For more about Lena, visit https://lenaghamrawi.com. • For more on cybersecurity, visit us at https://cybersecurityventures.com

AI potrafi pisać kod, ale żeby naprawdę działało, trzeba je traktować jak członka zespołu – wprowadzić w zasady projektu, nauczyć stylu i pilnować jakości. Gdy zrobisz to dobrze, tempo urośnie… tylko czy Twoja organizacja jest gotowa nadążyć?***

Katia, Emmanuel et Guillaume discutent Java, Kotlin, Quarkus, Hibernate, Spring Boot 4, intelligence artificielle (modèles Nano Banana, VO3, frameworks agentiques, embedding). On discute les vulnerabilités OWASP pour les LLMs, les personalités de codage des différents modèles, Podman vs Docker, comment moderniser des projets legacy. Mais surtout on a passé du temps sur les présentations de Luc Julia et les différents contre points qui ont fait le buzz sur les réseaux. Enregistré le 12 septembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-330.mp3 ou en vidéo sur YouTube. News Langages Dans cette vidéo, José détaille les nouveautés de Java entre Java 21 et 25 https://inside.java/2025/08/31/roadto25-java-language/ Aperçu des nouveautés du JDK 25 : Introduction des nouvelles fonctionnalités du langage Java et des changements à venir [00:02]. Programmation orientée données et Pattern Matching [00:43] : Évolution du “pattern matching” pour la déconstruction des “records” [01:22]. Utilisation des “sealed types” dans les expressions switch pour améliorer la lisibilité et la robustesse du code [01:47]. Introduction des “unnamed patterns” (_) pour indiquer qu'une variable n'est pas utilisée [04:47]. Support des types primitifs dans instanceof et switch (en preview) [14:02]. Conception d'applications Java [00:52] : Simplification de la méthode main [21:31]. Exécution directe des fichiers .java sans compilation explicite [22:46]. Amélioration des mécanismes d'importation [23:41]. Utilisation de la syntaxe Markdown dans la Javadoc [27:46]. Immuabilité et valeurs nulles [01:08] : Problème d'observation de champs final à null pendant la construction d'un objet [28:44]. JEP 513 pour contrôler l'appel à super() et restreindre l'usage de this dans les constructeurs [33:29]. JDK 25 sort le 16 septembre https://openjdk.org/projects/jdk/25/ Scoped Values (JEP 505) - alternative plus efficace aux ThreadLocal pour partager des données immutables entre threads Structured Concurrency (JEP 506) - traiter des groupes de tâches concurrentes comme une seule unité de travail, simplifiant la gestion des threads Compact Object Headers (JEP 519) - Fonctionnalité finale qui réduit de 50% la taille des en-têtes d'objets (de 128 à 64 bits), économisant jusqu'à 22% de mémoire heap Flexible Constructor Bodies (JEP 513) - Relaxation des restrictions sur les constructeurs, permettant du code avant l'appel super() ou this() Module Import Declarations (JEP 511) - Import simplifié permettant d'importer tous les éléments publics d'un module en une seule déclaration Compact Source Files (JEP 512) - Simplification des programmes Java basiques avec des méthodes main d'instance sans classe wrapper obligatoire Primitive Types in Patterns (JEP 455) - Troisième preview étendant le pattern matching et instanceof aux types primitifs dans switch et instanceof Generational Shenandoah (JEP 521) - Le garbage collector Shenandoah passe en mode générationnel pour de meilleures performances JFR Method Timing & Tracing (JEP 520) - Nouvel outillage de profilage pour mesurer le temps d'exécution et tracer les appels de méthodes Key Derivation API (JEP 510) - API finale pour les fonctions de dérivation de clés cryptographiques, remplaçant les implémentations tierces Améliorations du traitement des annotations dans Kotlin 2.2 https://blog.jetbrains.com/idea/2025/09/improved-annotation-handling-in-kotlin-2-2-less-boilerplate-fewer-surprises/ Avant Kotlin 2.2, les annotations sur les paramètres de constructeur n'étaient appliquées qu'au paramètre, pas à la propriété ou au champ Cela causait des bugs subtils avec Spring et JPA où la validation ne fonctionnait qu'à la création d'objet, pas lors des mises à jour La solution précédente nécessitait d'utiliser explicitement @field: pour chaque annotation, créant du code verbeux Kotlin 2.2 introduit un nouveau comportement par défaut qui applique les annotations aux paramètres ET aux propriétés/champs automatiquement Le code devient plus propre sans avoir besoin de syntaxe @field: répétitive Pour l'activer, ajouter -Xannotation-default-target=param-property dans les options du compilateur Gradle IntelliJ IDEA propose un quick-fix pour activer ce comportement à l'échelle du projet Cette amélioration rend l'intégration Kotlin plus fluide avec les frameworks majeurs comme Spring et JPA Le comportement peut être configuré pour garder l'ancien mode ou activer un mode transitoire avec avertissements Cette mise à jour fait partie d'une initiative plus large pour améliorer l'expérience Kotlin + Spring Librairies Sortie de Quarkus 3.26 avec mises à jour d'Hibernate et autres fonctionnalités - https://quarkus.io/blog/quarkus-3-26-released/ mettez à jour vers la 3.26.x car il y a eu une regression vert.x Jalon important vers la version LTS 3.27 prévue fin septembre, basée sur cette version Mise à jour vers Hibernate ORM 7.1, Hibernate Search 8.1 et Hibernate Reactive 3.1 Support des unités de persistance nommées et sources de données dans Hibernate Reactive Démarrage hors ligne et configuration de dialecte pour Hibernate ORM même si la base n'est pas accessible Refonte de la console HQL dans Dev UI avec fonctionnalité Hibernate Assistant intégrée Exposition des capacités Dev UI comme fonctions MCP pour pilotage via outils IA Rafraîchissement automatique des tokens OIDC en cas de réponse 401 des clients REST Extension JFR pour capturer les données runtime (nom app, version, extensions actives) Bump de Gradle vers la version 9.0 par défaut, suppression du support des classes config legacy Guide de démarrage avec Quarkus et A2A Java SDK 0.3.0 (pour faire discuter des agents IA avec la dernière version du protocole A2A) https://quarkus.io/blog/quarkus-a2a-java-0-3-0-alpha-release/ Sortie de l'A2A Java SDK 0.3.0.Alpha1, aligné avec la spécification A2A v0.3.0. Protocole A2A : standard ouvert (Linux Foundation), permet la communication inter-agents IA polyglottes. Version 0.3.0 plus stable, introduit le support gRPC. Mises à jour générales : changements significatifs, expérience utilisateur améliorée (côté client et serveur). Agents serveur A2A : Support gRPC ajouté (en plus de JSON-RPC). HTTP+JSON/REST à venir. Implémentations basées sur Quarkus (alternatives Jakarta existent). Dépendances spécifiques pour chaque transport (ex: a2a-java-sdk-reference-jsonrpc, a2a-java-sdk-reference-grpc). AgentCard : décrit les capacités de l'agent. Doit spécifier le point d'accès primaire et tous les transports supportés (additionalInterfaces). Clients A2A : Dépendance principale : a2a-java-sdk-client. Support gRPC ajouté (en plus de JSON-RPC). HTTP+JSON/REST à venir. Dépendance spécifique pour gRPC : a2a-java-sdk-client-transport-grpc. Création de client : via ClientBuilder. Sélectionne automatiquement le transport selon l'AgentCard et la configuration client. Permet de spécifier les transports supportés par le client (withTransport). Comment générer et éditer des images en Java avec Nano Banana, le “photoshop killer” de Google https://glaforge.dev/posts/2025/09/09/calling-nano-banana-from-java/ Objectif : Intégrer le modèle Nano Banana (Gemini 2.5 Flash Image preview) dans des applications Java. SDK utilisé : GenAI Java SDK de Google. Compatibilité : Supporté par ADK for Java ; pas encore par LangChain4j (limitation de multimodalité de sortie). Capacités de Nano Banana : Créer de nouvelles images. Modifier des images existantes. Assembler plusieurs images. Mise en œuvre Java : Quelle dépendance utiliser Comment s'authentifier Comment configurer le modèle Nature du modèle : Nano Banana est un modèle de chat qui peut retourner du texte et une image (pas simplement juste un modèle générateur d'image) Exemples d'utilisation : Création : Via un simple prompt textuel. Modification : En passant l'image existante (tableau de bytes) et les instructions de modification (prompt). Assemblage : En passant plusieurs images (en bytes) et les instructions d'intégration (prompt). Message clé : Toutes ces fonctionnalités sont accessibles en Java, sans nécessiter Python. Générer des vidéos IA avec le modèle Veo 3, mais en Java ! https://glaforge.dev/posts/2025/09/10/generating-videos-in-java-with-veo3/ Génération de vidéos en Java avec Veo 3 (via le GenAI Java SDK de Google). Veo 3: Annoncé comme GA, prix réduits, support du format 9:16, résolution jusqu'à 1080p. Création de vidéos : À partir d'une invite textuelle (prompt). À partir d'une image existante. Deux versions différentes du modèle : veo-3.0-generate-001 (qualité supérieure, plus coûteux, plus lent). veo-3.0-fast-generate-001 (qualité inférieure, moins coûteux, mais plus rapide). Rod Johnson sur ecrire des aplication agentic en Java plus facilement qu'en python avec Embabel https://medium.com/@springrod/you-can-build-better-ai-agents-in-java-than-python-868eaf008493 Rod the papa de Spring réécrit un exemple CrewAI (Python) qui génère un livre en utilisant Embabel (Java) pour démontrer la supériorité de Java L'application utilise plusieurs agents AI spécialisés : un chercheur, un planificateur de livre et des rédacteurs de chapitres Le processus suit trois étapes : recherche du sujet, création du plan, rédaction parallèle des chapitres puis assemblage CrewAI souffre de plusieurs problèmes : configuration lourde, manque de type safety, utilisation de clés magiques dans les prompts La version Embabel nécessite moins de code Java que l'original Python et moins de fichiers de configuration YAML Embabel apporte la type safety complète, éliminant les erreurs de frappe dans les prompts et améliorant l'outillage IDE La gestion de la concurrence est mieux contrôlée en Java pour éviter les limites de débit des APIs LLM L'intégration avec Spring permet une configuration externe simple des modèles LLM et hyperparamètres Le planificateur Embabel détermine automatiquement l'ordre d'exécution des actions basé sur leurs types requis L'argument principal : l'écosystème JVM offre un meilleur modèle de programmation et accès à la logique métier existante que Python Il y a pas mal de nouveaux framework agentic en Java, notamment le dernier LAngchain4j Agentic Spring lance un serie de blog posts sur les nouveautés de Spring Boot 4 https://spring.io/blog/2025/09/02/road_to_ga_introduction baseline JDK 17 mais rebase sur Jakarta 11 Kotlin 2, Jackson 3 et JUnit 6 Fonctionnalités de résilience principales de Spring : @ConcurrencyLimit, @Retryable, RetryTemplate Versioning d'API dans Spring Améliorations du client de service HTTP L'état des clients HTTP dans Spring Introduction du support Jackson 3 dans Spring Consommateur partagé - les queues Kafka dans Spring Kafka Modularisation de Spring Boot Autorisation progressive dans Spring Security Spring gRPC - un nouveau module Spring Boot Applications null-safe avec Spring Boot 4 OpenTelemetry avec Spring Boot Repos Ahead of Time (Partie 2) Web Faire de la recherche sémantique directement dans le navigateur en local, avec EmbeddingGemma et Transformers.js https://glaforge.dev/posts/2025/09/08/in-browser-semantic-search-with-embeddinggemma/ EmbeddingGemma: Nouveau modèle d'embedding (308M paramètres) de Google DeepMind. Objectif: Permettre la recherche sémantique directement dans le navigateur. Avantages clés de l'IA côté client: Confidentialité: Aucune donnée envoyée à un serveur. Coûts réduits: Pas besoin de serveurs coûteux (GPU), hébergement statique. Faible latence: Traitement instantané sans allers-retours réseau. Fonctionnement hors ligne: Possible après le chargement initial du modèle. Technologie principale: Modèle: EmbeddingGemma (petit, performant, multilingue, support MRL pour réduire la taille des vecteurs). Moteur d'inférence: Transformers.js de HuggingFace (exécute les modèles AI en JavaScript dans le navigateur). Déploiement: Site statique avec Vite/React/Tailwind CSS, déployé sur Firebase Hosting via GitHub Actions. Gestion du modèle: Fichiers du modèle trop lourds pour Git; téléchargés depuis HuggingFace Hub pendant le CI/CD. Fonctionnement de l'app: Charge le modèle, génère des embeddings pour requêtes/documents, calcule la similarité sémantique. Conclusion: Démonstration d'une recherche sémantique privée, économique et sans serveur, soulignant le potentiel de l'IA embarquée dans le navigateur. Data et Intelligence Artificielle Docker lance Cagent, une sorte de framework multi-agent IA utilisant des LLMs externes, des modèles de Docker Model Runner, avec le Docker MCP Tookit. Il propose un format YAML pour décrire les agents d'un système multi-agents. https://github.com/docker/cagent des agents “prompt driven” (pas de code) et une structure pour decrire comment ils sont deployés pas clair comment ils sont appelés a part dans la ligne de commande de cagent fait par david gageot L'owasp décrit l'independance excessive des LLM comme une vulnerabilité https://genai.owasp.org/llmrisk2023-24/llm08-excessive-agency/ L'agence excessive désigne la vulnérabilité qui permet aux systèmes LLM d'effectuer des actions dommageables via des sorties inattendues ou ambiguës. Elle résulte de trois causes principales : fonctionnalités excessives, permissions excessives ou autonomie excessive des agents LLM. Les fonctionnalités excessives incluent l'accès à des plugins qui offrent plus de capacités que nécessaire, comme un plugin de lecture qui peut aussi modifier ou supprimer. Les permissions excessives se manifestent quand un plugin accède aux systèmes avec des droits trop élevés, par exemple un accès en lecture qui inclut aussi l'écriture. L'autonomie excessive survient quand le système effectue des actions critiques sans validation humaine préalable. Un scénario d'attaque typique : un assistant personnel avec accès email peut être manipulé par injection de prompt pour envoyer du spam via la boîte de l'utilisateur. La prévention implique de limiter strictement les plugins aux fonctions minimales nécessaires pour l'opération prévue. Il faut éviter les fonctions ouvertes comme “exécuter une commande shell” au profit d'outils plus granulaires et spécifiques. L'application du principe de moindre privilège est cruciale : chaque plugin doit avoir uniquement les permissions minimales requises. Le contrôle humain dans la boucle reste essentiel pour valider les actions à fort impact avant leur exécution. Lancement du MCP registry, une sorte de méta-annuaire officiel pour référencer les serveurs MCP https://www.marktechpost.com/2025/09/09/mcp-team-launches-the-preview-version-of-the-mcp-registry-a-federated-discovery-layer-for-enterprise-ai/ MCP Registry : Couche de découverte fédérée pour l'IA d'entreprise. Fonctionne comme le DNS pour le contexte de l'IA, permettant la découverte de serveurs MCP publics ou privés. Modèle fédéré : Évite les risques de sécurité et de conformité d'un registre monolithique. Permet des sous-registres privés tout en conservant une source de vérité “upstream”. Avantages entreprises : Découverte interne sécurisée. Gouvernance centralisée des serveurs externes. Réduction de la prolifération des contextes. Support pour les agents IA hybrides (données privées/publiques). Projet open source, actuellement en version preview. Blog post officiel : https://blog.modelcontextprotocol.io/posts/2025-09-08-mcp-registry-preview/ Exploration des internals du transaction log SQL Server https://debezium.io/blog/2025/09/08/sqlserver-tx-log/ C'est un article pour les rugeux qui veulent savoir comment SQLServer marche à l'interieur Debezium utilise actuellement les change tables de SQL Server CDC en polling périodique L'article explore la possibilité de parser directement le transaction log pour améliorer les performances Le transaction log est divisé en Virtual Log Files (VLFs) utilisés de manière circulaire Chaque VLF contient des blocs (512B à 60KB) qui contiennent les records de transactions Chaque record a un Log Sequence Number (LSN) unique pour l'identifier précisément Les données sont stockées dans des pages de 8KB avec header de 96 bytes et offset array Les tables sont organisées en partitions et allocation units pour gérer l'espace disque L'utilitaire DBCC permet d'explorer la structure interne des pages et leur contenu Cette compréhension pose les bases pour parser programmatiquement le transaction log dans un prochain article Outillage Les personalités des codeurs des différents LLMs https://www.sonarsource.com/blog/the-coding-personalities-of-leading-llms-gpt-5-update/ GPT-5 minimal ne détrône pas Claude Sonnet 4 comme leader en performance fonctionnelle malgré ses 75% de réussite GPT-5 génère un code extrêmement verbeux avec 490 000 lignes contre 370 000 pour Claude Sonnet 4 sur les mêmes tâches La complexité cyclomatique et cognitive du code GPT-5 est dramatiquement plus élevée que tous les autres modèles GPT-5 introduit 3,90 problèmes par tâche réussie contre seulement 2,11 pour Claude Sonnet 4 Point fort de GPT-5 : sécurité exceptionnelle avec seulement 0,12 vulnérabilité par 1000 lignes de code Faiblesse majeure : densité très élevée de “code smells” (25,28 par 1000 lignes) nuisant à la maintenabilité GPT-5 produit 12% de problèmes liés à la complexité cognitive, le taux le plus élevé de tous les modèles Tendance aux erreurs logiques fondamentales avec 24% de bugs de type “Control-flow mistake” Réapparition de vulnérabilités classiques comme les failles d'injection et de traversée de chemin Nécessité d'une gouvernance renforcée avec analyse statique obligatoire pour gérer la complexité du code généré Pourquoi j'ai abandonné Docker pour Podman https://codesmash.dev/why-i-ditched-docker-for-podman-and-you-should-too Problème Docker : Le daemon dockerd persistant s'exécute avec des privilèges root, posant des risques de sécurité (nombreuses CVEs citées) et consommant des ressources inutilement. Solution Podman : Sans Daemon : Pas de processus d'arrière-plan persistant. Les conteneurs s'exécutent comme des processus enfants de la commande Podman, sous les privilèges de l'utilisateur. Sécurité Renforcée : Réduction de la surface d'attaque. Une évasion de conteneur compromet un utilisateur non privilégié sur l'hôte, pas le système entier. Mode rootless. Fiabilité Accrue : Pas de point de défaillance unique ; le crash d'un conteneur n'affecte pas les autres. Moins de Ressources : Pas de daemon constamment actif, donc moins de mémoire et de CPU. Fonctionnalités Clés de Podman : Intégration Systemd : Génération automatique de fichiers d'unité systemd pour gérer les conteneurs comme des services Linux standards. Alignement Kubernetes : Support natif des pods et capacité à générer des fichiers Kubernetes YAML directement (podman generate kube), facilitant le développement local pour K8s. Philosophie Unix : Se concentre sur l'exécution des conteneurs, délègue les tâches spécialisées à des outils dédiés (ex: Buildah pour la construction d'images, Skopeo pour leur gestion). Migration Facile : CLI compatible Docker : podman utilise les mêmes commandes que docker (alias docker=podman fonctionne). Les Dockerfiles existants sont directement utilisables. Améliorations incluses : Sécurité par défaut (ports privilégiés en mode rootless), meilleure gestion des permissions de volume, API Docker compatible optionnelle. Option de convertir Docker Compose en Kubernetes YAML. Bénéfices en Production : Sécurité améliorée, utilisation plus propre des ressources. Podman représente une évolution plus sécurisée et mieux alignée avec les pratiques modernes de gestion Linux et de déploiement de conteneurs. Guide Pratique (Exemple FastAPI) : Le Dockerfile ne change pas. podman build et podman run remplacent directement les commandes Docker. Déploiement en production via Systemd. Gestion d'applications multi-services avec les “pods” Podman. Compatibilité Docker Compose via podman-compose ou kompose. Détection améliorée des APIs vulnérables dans les IDEs JetBrains et Qodana - https://blog.jetbrains.com/idea/2025/09/enhanced-vulnerable-api-detection-in-jetbrains-ides-and-qodana/ JetBrains s'associe avec Mend.io pour renforcer la sécurité du code dans leurs outils Le plugin Package Checker bénéficie de nouvelles données enrichies sur les APIs vulnérables Analyse des graphes d'appels pour couvrir plus de méthodes publiques des bibliothèques open-source Support de Java, Kotlin, C#, JavaScript, TypeScript et Python pour la détection de vulnérabilités Activation des inspections via Paramètres > Editor > Inspections en recherchant “Vulnerable API” Surlignage automatique des méthodes vulnérables avec détails des failles au survol Action contextuelle pour naviguer directement vers la déclaration de dépendance problématique Mise à jour automatique vers une version non affectée via Alt+Enter sur la dépendance Fenêtre dédiée “Vulnerable Dependencies” pour voir l'état global des vulnérabilités du projet Méthodologies Le retour de du sondage de Stack Overflow sur l'usage de l'IA dans le code https://medium.com/@amareshadak/stack-overflow-just-exposed-the-ugly-truth-about-ai-coding-tools-b4f7b5992191 84% des développeurs utilisent l'IA quotidiennement, mais 46% ne font pas confiance aux résultats. Seulement 3,1% font “hautement confiance” au code généré. 66% sont frustrés par les solutions IA “presque correctes”. 45% disent que déboguer le code IA prend plus de temps que l'écrire soi-même. Les développeurs seniors (10+ ans) font moins confiance à l'IA (2,6%) que les débutants (6,1%), créant un écart de connaissances dangereux. Les pays occidentaux montrent moins de confiance - Allemagne (22%), UK (23%), USA (28%) - que l'Inde (56%). Les créateurs d'outils IA leur font moins confiance. 77% des développeurs professionnels rejettent la programmation en langage naturel, seuls 12% l'utilisent réellement. Quand l'IA échoue, 75% se tournent vers les humains. 35% des visites Stack Overflow concernent maintenant des problèmes liés à l'IA. 69% rapportent des gains de productivité personnels, mais seulement 17% voient une amélioration de la collaboration d'équipe. Coûts cachés : temps de vérification, explication du code IA aux équipes, refactorisation et charge cognitive constante. Les plateformes humaines dominent encore : Stack Overflow (84%), GitHub (67%), YouTube (61%) pour résoudre les problèmes IA. L'avenir suggère un “développement augmenté” où l'IA devient un outil parmi d'autres, nécessitant transparence et gestion de l'incertitude. Mentorat open source et défis communautaires par les gens de Microcks https://microcks.io/blog/beyond-code-open-source-mentorship/ Microcks souffre du syndrome des “utilisateurs silencieux” qui bénéficient du projet sans contribuer Malgré des milliers de téléchargements et une adoption croissante, l'engagement communautaire reste faible Ce manque d'interaction crée des défis de durabilité et limite l'innovation du projet Les mainteneurs développent dans le vide sans feedback des vrais utilisateurs Contribuer ne nécessite pas de coder : documentation, partage d'expérience, signalement de bugs suffisent Parler du project qu'on aime autour de soi est aussi super utile Microcks a aussi des questions specifiques qu'ils ont posé dans le blog, donc si vous l'utilisez, aller voir Le succès de l'open source dépend de la transformation des utilisateurs en véritables partenaires communautaires c'est un point assez commun je trouve, le ratio parlant / silencieux est tres petit et cela encourage les quelques grandes gueules La modernisation du systemes legacy, c'est pas que de la tech https://blog.scottlogic.com/2025/08/27/holistic-approach-successful-legacy-modernisation.html Un artcile qui prend du recul sur la modernisation de systemes legacy Les projets de modernisation legacy nécessitent une vision holistique au-delà du simple focus technologique Les drivers business diffèrent des projets greenfield : réduction des coûts et mitigation des risques plutôt que génération de revenus L'état actuel est plus complexe à cartographier avec de nombreuses dépendances et risques de rupture Collaboration essentielle entre Architectes, Analystes Business et Designers UX dès la phase de découverte Approche tridimensionnelle obligatoire : Personnes, Processus et Technologie (comme un jeu d'échecs 3D) Le leadership doit créer l'espace nécessaire pour la découverte et la planification plutôt que presser l'équipe Communication en termes business plutôt que techniques vers tous les niveaux de l'organisation Planification préalable essentielle contrairement aux idées reçues sur l'agilité Séquencement optimal souvent non-évident et nécessitant une analyse approfondie des interdépendances Phases projet alignées sur les résultats business permettent l'agilité au sein de chaque phase Sécurité Cyber Attaque su Musée Histoire Naturelle https://www.franceinfo.fr/internet/securite-sur-internet/cyberattaques/le-museum-nati[…]e-d-une-cyberattaque-severe-une-plainte-deposee_7430356.html Compromission massive de packages npm populaires par un malware crypto https://www.aikido.dev/blog/npm-debug-and-chalk-packages-compromised 18 packages npm très populaires compromis le 8 septembre 2025, incluant chalk, debug, ansi-styles avec plus de 2 milliards de téléchargements hebdomadaires combinés duckdb s'est rajouté à la liste Code malveillant injecté qui intercepte silencieusement l'activité crypto et web3 dans les navigateurs des utilisateurs Le malware manipule les interactions de wallet et redirige les paiements vers des comptes contrôlés par l'attaquant sans signes évidents Injection dans les fonctions critiques comme fetch, XMLHttpRequest et APIs de wallets (window.ethereum, Solana) pour intercepter le trafic Détection et remplacement automatique des adresses crypto sur multiple blockchains (Ethereum, Bitcoin, Solana, Tron, Litecoin, Bitcoin Cash) Les transactions sont modifiées en arrière-plan même si l'interface utilisateur semble correcte et légitime Utilise des adresses “sosies” via correspondance de chaînes pour rendre les échanges moins évidents à détecter Le mainteneur compromis par email de phishing provenant du faux domaine “mailto:support@npmjs.help|support@npmjs.help” enregistré 3 jours avant l'attaque sur une demande de mise a jour de son autheotnfication a deux facteurs après un an Aikido a alerté le mainteneur via Bluesky qui a confirmé la compromission et commencé le nettoyage des packages Attaque sophistiquée opérant à plusieurs niveaux: contenu web, appels API et manipulation des signatures de transactions Les anti-cheats de jeux vidéo : une faille de sécurité majeure ? - https://tferdinand.net/jeux-video-et-si-votre-anti-cheat-etait-la-plus-grosse-faille/ Les anti-cheats modernes s'installent au Ring 0 (noyau système) avec privilèges maximaux Ils obtiennent le même niveau d'accès que les antivirus professionnels mais sans audit ni certification Certains exploitent Secure Boot pour se charger avant le système d'exploitation Risque de supply chain : le groupe APT41 a déjà compromis des jeux comme League of Legends Un attaquant infiltré pourrait désactiver les solutions de sécurité et rester invisible Menace de stabilité : une erreur peut empêcher le démarrage du système (référence CrowdStrike) Conflits possibles entre différents anti-cheats qui se bloquent mutuellement Surveillance en temps réel des données d'utilisation sous prétexte anti-triche Dérive dangereuse selon l'auteur : des entreprises de jeux accèdent au niveau EDR Alternatives limitées : cloud gaming ou sandboxing avec impact sur performances donc faites gaffe aux jeux que vos gamins installent ! Loi, société et organisation Luc Julia au Sénat - Monsieur Phi réagi et publie la vidéo Luc Julia au Sénat : autopsie d'un grand N'IMPORTE QUOI https://www.youtube.com/watch?v=e5kDHL-nnh4 En format podcast de 20 minutes, sorti au même moment et à propos de sa conf à Devoxx https://www.youtube.com/watch?v=Q0gvaIZz1dM Le lab IA - Jérôme Fortias - Et si Luc Julia avait raison https://www.youtube.com/watch?v=KScI5PkCIaE Luc Julia au Senat https://www.youtube.com/watch?v=UjBZaKcTeIY Luc Julia se défend https://www.youtube.com/watch?v=DZmxa7jJ8sI Intelligence artificielle : catastrophe imminente ? - Luc Julia vs Maxime Fournes https://www.youtube.com/watch?v=sCNqGt7yIjo Tech and Co Monsieur Phi vs Luc Julia (put a click) https://www.youtube.com/watch?v=xKeFsOceT44 La tronche en biais https://www.youtube.com/live/zFwLAOgY0Wc Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 15 septembre 2025 : Agile Tour Montpellier - Montpellier (France) 18-19 septembre 2025 : API Platform Conference - Lille (France) & Online 22-24 septembre 2025 : Kernel Recipes - Paris (France) 22-27 septembre 2025 : La Mélée Numérique - Toulouse (France) 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 23-24 septembre 2025 : AI Engineer Paris - Paris (France) 25 septembre 2025 : Agile Game Toulouse - Toulouse (France) 25-26 septembre 2025 : Paris Web 2025 - Paris (France) 30 septembre 2025-1 octobre 2025 : PyData Paris 2025 - Paris (France) 2 octobre 2025 : Nantes Craft - Nantes (France) 2-3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 3 octobre 2025 : DevFest Perros-Guirec 2025 - Perros-Guirec (France) 6-7 octobre 2025 : Swift Connection 2025 - Paris (France) 6-10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 7 octobre 2025 : BSides Mulhouse - Mulhouse (France) 7-8 octobre 2025 : Agile en Seine - Issy-les-Moulineaux (France) 8-10 octobre 2025 : SIG 2025 - Paris (France) & Online 9 octobre 2025 : DevCon #25 : informatique quantique - Paris (France) 9-10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 9-10 octobre 2025 : EuroRust 2025 - Paris (France) 16 octobre 2025 : PlatformCon25 Live Day Paris - Paris (France) 16 octobre 2025 : Power 365 - 2025 - Lille (France) 16-17 octobre 2025 : DevFest Nantes - Nantes (France) 17 octobre 2025 : Sylius Con 2025 - Lyon (France) 17 octobre 2025 : ScalaIO 2025 - Paris (France) 17-19 octobre 2025 : OpenInfra Summit Europe - Paris (France) 20 octobre 2025 : Codeurs en Seine - Rouen (France) 23 octobre 2025 : Cloud Nord - Lille (France) 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 5-6 novembre 2025 : Tech Show Paris - Paris (France) 5-6 novembre 2025 : Red Hat Summit: Connect Paris 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 4 septembre 2026 : JUG SUmmer Camp 2026 - La Rochelle (France) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Lena Ghamrawi, Sr. Privacy Counsel and Data Protection Officer at Stack Overflow, is the founder of The Privacy Coach, where she provides career coaching services to help folks pave their privacy path. In this episode, Ghamrawi joins host Taylor Fox to discuss the logistics of conducting a privacy impact assessment. For more about Lena, visit https://lenaghamrawi.com. • For more on cybersecurity, visit us at https://cybersecurityventures.com

Today, we're talking to Jody Bailey, CTO of Stack Overflow. We discuss how Stack Overflow is adapting to challenges posed by generative AI, why creating smaller communities within the platform is crucial for user engagement, and how Stack Overflow for Teams is evolving to become an essential part of the development pipeline for companies. All of this right here, right now, on the Modern CTO Podcast!  You already know Stack Overflow, but make sure to visit their website here: https://stackoverflow.com

Julia Undeutsch's path to becoming an accessibility specialist defies conventional career trajectories. From studying musicology and Japanese while working as a poker dealer to becoming a passionate advocate for digital inclusion, her story reveals how diverse experiences shape innovative approaches to accessibility.When Julia first encountered coding, she noticed something peculiar on Stack Overflow: developers often presented two solutions—a standard approach and an "accessible" alternative. Her immediate reaction speaks volumes: "Why would I choose one or the other? You always choose accessibility." This clarity of purpose has defined her work ever since, recognizing that accessible code inherently represents better quality and cleaner development practices.Julia's linguistic background provides a fascinating foundation for her accessibility work. Having studied Japanese and Austrian Sign Language, she draws direct parallels between human languages and programming languages. Both require similar cognitive processes and serve as gateways to understanding different cultures and perspectives—skills that translate perfectly to creating inclusive digital experiences that work for diverse users.Beyond her day job at Atos, Julia has become a community builder extraordinaire. Through the Google Developer Expert Program and Women Techmakers, she's created platforms to spread accessibility awareness globally. Her talks in Japan revealed a hunger for accessibility knowledge in places where it hadn't yet become mainstream. Alongside her "partner in crime" Laura, she's building Vienna's accessibility community by combining web development expertise with UX research.What makes Julia's perspective particularly valuable are the real-world lessons from her poker dealer days—experiences that unknowingly introduced her to accessibility challenges. Whether accommodating a player with prosthetic arms who couldn't reach cards at a specially designed table or navigating rules about "English only" when a deaf player needed sign language, these moments forced her to consider fundamental questions about inclusion that continue to inform her work today.Ready to learn from Julia's unique journey and gain fresh perspectives on accessibility? Tune in to hear how diverse backgrounds and passionate advocacy are reshaping digital inclusion for everyone.Support the showFollow axschat on social media.Bluesky:Antonio https://bsky.app/profile/akwyz.com Debra https://bsky.app/profile/debraruh.bsky.social Neil https://bsky.app/profile/neilmilliken.bsky.social axschat https://bsky.app/profile/axschat.bsky.social LinkedInhttps://www.linkedin.com/in/antoniovieirasantos/ https://www.linkedin.com/company/axschat/Vimeohttps://vimeo.com/akwyzhttps://twitter.com/axschathttps://twitter.com/AkwyZhttps://twitter.com/neilmillikenhttps://twitter.com/debraruh

AI Conversations Powered by Prosus Group  Stack Overflow is adapting to the AI era by licensing its trusted Q&A corpus, expanding into discussions and enterprise tools, and reinforcing its role as a reliable source as developer trust in AI output declines.Guest speaker:Prashanth Chandrashekar - CEO of Stack OverflowHost:Demetrios Brinkmann - Founder of MLOps Community2025 Developer Survey: https://survey.stackoverflow.co/2025?utm_medium=referral&utm_source=direct-share&utm_campaign=dev-survey-2025&utm_content=MLOps~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]

In what's becoming an annual feature, Matt and Mike discussed the results of the Stack Overflow Developer Survey 2025. There are an absolute ton of different categories and results in this survey, the guys have cherry picked a few key metrics to drive conversation and debate on the state of the 2025 developer market. With AI tools coming in hot this year (and last for that matter), many think that the industry is in a state of upset - do you think the survey results confirm that? Show Notes: https://www.htmlallthethings.com/podcasts/stack-overflow-developer-survey-2025 Powered by CodeRabbit - AI Code Reviews: https://coderabbit.link/htmlallthethings Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

Новое исследование Stack Overflow 2025 Developer Survey, в котором приняли участие более 49,000 разработчиков из 177 стран, выявило парадоксальную проблему: 45% программистов сообщают, что отладка ИИ-сгенерированного кода занимает больше времени, чем ожидалось 84% of developers use AI, yet most don't trust it!. https://survey.stackoverflow.co/2025/ai#2-accuracy-of-ai-toolsОсновная причина — "ИИ-решения, которые почти правильные, но не совсем", с которыми сталкиваются 66% разработчиков. Такой код выглядит работоспособным, но требует тщательной проверки и исправления скрытых ошибок, что превращает обещанную экономию времени в дополнительную нагрузку.Эти данные контрастируют с недавними заявлениями CEO OpenAI Сэма Альтмана, который в своем последнем блог-посте "The Gentle Singularity" утверждает, что "2025 год ознаменовался появлением агентов, которые могут выполнять настоящую когнитивную работу; написание компьютерного кода уже никогда не будет прежним". Однако в том же посте Альтман признает постепенность изменений, отмечая что "мир не изменится сразу" и люди найдут "новые способы быть полезными друг другу", хотя эти способы "могут не очень походить на сегодняшние рабочие места". https://blog.samaltman.com/the-gentle-singularityПока что реальность показывает обратное — ИИ создает дополнительную работу вместо её сокращения, заставляя разработчиков тратить время на верификацию и исправление "почти правильного" кода.Евгений Волчков, Engineering Manager в iManage (ex-Bank of America и Verizon).LinkedIn: https://www.linkedin.com/in/valchkou/ Эпизоды по теме:- AI Engineer - это будущее или модный хайп? Какие программисты будут в спросе, а какие за бортом? Евгений Волчков https://youtube.com/live/5T6be4jjzrY- Калифорнийский парадокс: почему местные AI-таланты с дипломом Berkeley не нужны? Савва Вяткин https://youtu.be/PAJ_R2hBie8- Новая эра: AI, работа и профессии будущего. Как ИИ меняет правила игры на рынке труда. Ник Береза https://youtube.com/live/eO9PghMknOY- Тренды IT 2025: венчур, стартапы, искусственный интеллект. Алексей Моисеенков. https://youtube.com/live/1d7hRZrJTkM- Что нас ждет в 2025? Кризис, массовые увольнения, крах стартапов. Где искать работу? Денис Калышкин https://youtube.com/live/ZbYm10zrfEA***Записаться на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США) https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень) https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abВидео курс по составлению резюме для международных компаний "Идеальное американское резюме": https://go.mbastrategy.com/resumecoursemainГайд "Идеальное американское резюме" https://go.mbastrategy.com/usresumeПодписывайтесь на мой Телеграм канал: https://t.me/prodcastUSAПодписывайтесь на мой Инстаграм https://www.instagram.com/prodcast.us Гайд "Как оформить профиль в LinkedIn, чтобы рекрутеры не смогли пройти мимо" https://go.mbastrategy.com/linkedinguide⏰ Timecodes ⏰00:00 Начало15:12 Парадокс ИИ. Заменит ли он разработчиков?30:50 Изменятся ли финансовые рынки?41:08 Рынок IT в кризисе?54:59 Как найти удаленку в ИИ в США?1:01:26 Заменит ли ИИ дата-саентистов?1:11:07 Куда вывозят из США? 1:12:27 Как изменятся зарплаты специалистов?1:17:14 Про лейоффы и кризисы1:21:28 Что ждёт QA специалистов?1:30:18 AI Action Plan 1:34:25 Что посоветуешь тем кто боится Ai?

Every year, Stack Overflow surveys nearly a 100,000 developers to learn what technologies, languages and tools are trending.The answers here might surprise you, especially when it comes to AI tools.You can check out the survey here: https://survey.stackoverflow.co/2025/developers/Send us a textShameless Plugs

There's a new utility library in town called es-toolkit, and it's gunning for Lodash. 2-3x faster, 97% smaller, full TypeScript support, and using modern JavaScript APIs, es-toolkit's just added a “Lodash compatibility layer” to ensure an identical API and 100% Lodash compatibility.oRPC is the newest wrinkle in the Remote Procedural Call (RPC) world, and it promotes easy to build APIs that are end-to-end type-safe and adhere to OpenAPI standards. Stack Overflow's 15th developer survey results are in, and the learnings are... interesting. Some of the takeaways are expected (React's still very popular, lots of devs have at least tried AI tools), but some seem willfully wrong (SO claims it's a new resource for devs that need to solve AI-related issues, but 43% of respondents said they rarely or never visit the site anymore). Either way, SO's use has declined dramatically over the last few years due to the rise of AI, and we'll see how much longer it can hang on as a vital part of the developer ecosystem.Timestamps:0:57 - es-toolkit update7:46 - oRPC17:13 - Stack Overflow Developer Survey31:43 - Bolt hackathon winners34:11 - Microsoft Edge Copilot Mode38:46 - State of HTML survey39:30 - What's making us happyLinks:Paige - es-toolkit is coming for LodashJack - oRPCTJ - Stack Overflow 2025 survey resultsBolt hackathon winnersMicrosoft Edge Copilot ModeState of HTML surveyPaige - Monopoly Deal card gameJack - Gridfinity 3D printed grid storage systemTJ - NY Times Games AppThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Adam & Jerod (plus zero other randos) dig into Stack Overflow's 2025 developer survey results. We discuss SO's decline, the desire for younger devs to have real chats with real people, the rise of uv and more Python winning, why people are frustrated with AI, and more.

This week, we discuss the AI hype cycle, Astronomer's viral moment, and yet another YAML flavor — KYAML. Plus, private equity is coming for your donuts. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/Lul4dCCIT24?si=qeBAZXHmFBdRuuAx) 531 (https://www.youtube.com/live/Lul4dCCIT24?si=qeBAZXHmFBdRuuAx) Runner-up Titles Sometimes it's hard to make money I've given into Big Donut Maybe you can fake your way through life At some point you have to have some expertise AI has no taste Can you fix my PowerPoint? There is a chance we're all going to be naked soon Gobbling up the dark fiber WHYAML Waymo for Babies Rundown Beloved Texas doughnut chain sold to California equity firm (https://www.khou.com/article/news/local/shipley-do-nuts-sold-private-equity-houston-texas/285-259116a6-8819-4b32-8ca8-20359bb4f1e1) AI Mid-Year Hype-Cycle Check-in Gartner hype cycle (https://en.wikipedia.org/wiki/Gartner_hype_cycle) Betting on AI: The Delusion Driving Big Tech - Last Week in AWS Podcast (https://www.lastweekinaws.com/podcast/screaming-in-the-cloud/betting-on-ai-the-delusion-driving-big-tech/) Clouded Judgement 7.25.25 - TAMs Lie (https://cloudedjudgement.substack.com/p/clouded-judgement-72525-tams-lie?utm_source=post-email-title&publication_id=56878&post_id=169176822&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) Microsoft's AI CEO thinks Copilot will age and ‘have a room that it lives in' (https://www.theverge.com/news/713715/microsoft-copilot-appearance-feature-age-mustafa-suleyman-interview) Flaw in Gemini CLI coding tool could allow hackers to run nasty commands (https://arstechnica.com/security/2025/07/flaw-in-gemini-cli-coding-tool-allowed-hackers-to-run-nasty-commands-on-user-devices/) Claude Code is a slot machine (https://rgoldfinger.com/blog/2025-07-26-claude-code-is-a-slot-machine/) The Hater's Guide to the AI Bubble (https://www.wheresyoured.at/the-haters-gui/) 2025 Stack Overflow Developer Survey (https://survey.stackoverflow.co/2025/) 2025 Stack Overflow sentiment and usage section (https://survey.stackoverflow.co/2025/ai/#sentiment-and-usage) Astronomer Data Pipelines with Apache Airflow (https://www.thecloudcast.net/2025/07/data-pipelines-with-apache-airflow.html) Astronomer (@astronomerio) on X (https://x.com/astronomerio/status/1948890827566317712?s=46&t=EoCoteGkQEahPpAJ_HYRpg) Ryan Reynolds' ad agency, was behind the Gwyneth Paltrow Astronomer ad (https://www.businessinsider.com/ryan-reynolds-maximum-effort-gwyneth-paltrow-astronomer-ad-2025-7) Introducing KYAML, a safer, less ambiguous YAML subset / encoding (https://github.com/kubernetes/enhancements/blob/master/keps/sig-cli/5295-kyaml/README.md#summary) Palo Alto Networks to acquire CyberArk in $25 billion deal (https://www.cnbc.com/2025/07/30/palo-alto-networks-cyberark-deal.html) Relevant to your Interests Microsoft's Satya Nadella says job cuts have been 'weighing heavily' on him (https://www.cnbc.com/2025/07/24/microsoft-satya-nadella-memo-layoffs.html) IBM shares drop as software revenue misses (https://www.cnbc.com/2025/07/23/ibm-q2-earnings-report-2025.html) MSFT Teams in your car? (https://www.theverge.com/news/708481/microsoft-teams-mercedes-benz-integration-in-car-camera-support) Y2K38 bug? Debian switching to 64-bit time for everything (https://www.theregister.com/2025/07/25/y2k38_bug_debian/) A.I.-Driven Education: Founded in Texas and Coming to a School Near You (https://www.nytimes.com/2025/07/27/us/politics/ai-alpha-school-austin-texas.html) How Anthropic teams use Claude Code (https://www.anthropic.com/news/how-anthropic-teams-use-claude-code?utm_source=changelog-news) Anthropic unveils new rate limits to curb Claude Code power users (https://techcrunch.com/2025/07/28/anthropic-unveils-new-rate-limits-to-curb-claude-code-power-users/) Alphabet's Q2 revenue beats estimates as cloud computing surges (https://www.fastcompany.com/91373657/alphabet-google-earnings-q2-cloud-ai) Listener Feedback Steve recommends Lessons from Production (https://podcast.techwithkunal.com) Podcast (https://podcast.techwithkunal.com) Conferences Sydney Wizdom Meet-Up (https://www.wiz.io/events/sydney-wizdom-meet-up-aug-2025), Sydney, August 7. Matt will be there. SpringOne (https://www.vmware.com/explore/us/springone?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/watch?v=f_xOudsmUmk). Explore 2025 US (https://www.vmware.com/explore/us?utm_source=organic&utm_medium=social&utm_campaign=cote), Las Vegas, August 25th to 28th, 2025. See Coté's pitch (https://www.youtube.com/shorts/-COoeIJcFN4). Wiz Capture the Flag (https://www.wiz.io/events/capture-the-flag-brisbane-august-2025), Brisbane, August 26. Matt will be there. SREDay London (https://sreday.com/2025-london-q3/), Coté speaking, September 18th and 19th. Civo Navigate London (https://www.civo.com/navigate/london/2025), Coté speaking, September 30th. Texas Linux Fest (https://2025.texaslinuxfest.org), Austin, October 3rd to 4th. CFP closes August 3rd (https://www.papercall.io/txlf2025). CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th to 16th, London. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Uber Teen (https://www.uber.com/us/en/ride/teens/) Matt: Software Defined Interviews - Chris Dancy (https://www.softwaredefinedinterviews.com/105) Photo Credits Header (https://unsplash.com/photos/white-and-black-floral-round-decor-qZ6uvJHLHFc)

Adam & Jerod (plus zero other randos) dig into Stack Overflow's 2025 developer survey results. We discuss SO's decline, the desire for younger devs to have real chats with real people, the rise of uv and more Python winning, why people are frustrated with AI, and more.

"Don't waste your chips on bad hands."Dimitar Stanimiroff has been through multiple exits, some successful, some painful shutdowns. He co-founded WePow(acquired) and Heresy (shut down after 3.5 years). His biggest financial return came from joining Stack Overflow, not founding his own company.In today's episode, I'm joined by Dimitar Stanimiroff, a seasoned SaaS founder, operator, and investor who's experienced both sides of the exit coin. After co-founding WePow and seeing it acquired, he started Heresy, raised $1M in venture funding, and ran it for 3.5 years before making the difficult decision to shut it down. He then joined Stack Overflow as an operator and helped scale it, resulting in his biggest financial return to date.Together we unpack:Why "quitting on time feels like quitting too early" and the real cost of staying too longHow to think of your entrepreneurial journey like poker chips; finite resources you can't wasteThe hard reality of shutting down a business after raising venture capitalWhy his mentor Joel Spolsky told him to quit just months after launchingWhen plateauing milestones become warning signs it's time to fold

Few issues more urgent—or more misunderstood—than poverty in America. And even fewer solutions as bold as simply giving people cash. Jeff Atwood, the tech entrepreneur behind Stack Overflow, and his partner Betsy Burton, a trained scientist with a deep commitment to equity, are working to change that. Together, they've launched a $50 million guaranteed minimum income initiative across some of the poorest rural counties in the country—places that mirror their own family roots. In this episode, Jeff and Betsy share a story that is as personal as it is political. From the hills of West Virginia to their home in Alameda, California, they speak candidly about wealth, dignity, hope, and the American Dream. We'll explore how their own childhoods and their children have shaped their philanthropy, how storytelling is challenging tired myths about the poor, and why 2025 is the moment to rewrite the social contract in America. This is not your typical conversation about poverty—and it's not your typical couple trying to solve it. Here is Jeff Atwood and Betsy Burton on The Business of Giving.

Stack Overflow has long been the go-to platform for developers to learn, collaborate and solve coding challenges. In this Tech Disruptors episode, Bloomberg Intelligence senior analyst Sunil Rajgopal speaks with Stack Overflow CEO Prashanth Chandrasekar on how generative AI is reshaping developer workflows and platform strategy. They discuss the company's pivot toward enterprise use cases, including private knowledge sharing, agentic AI integration and data licensing. The conversation also explores major partnerships with AI and cloud providers and Stack Overflow's evolving role in a rapidly changing developer ecosystem.

Last week we talked about Everyone-versus-Everyone. That hasn't stopped. Before we could edit and publish the last episode, Google unleashed a “do-everything” AI bundle. Last week we talked about when everyone ships everything at once, how do you find the whitespace? This week we continue to discuss two more tectonic shifts: 1. The Great SEO Trade-Off ➜ The AI Answer Engine - Google's new AI-mode could nuke the blue-link economy that's powered the internet for 20+ years. If LLMs hoard the traffic, who keeps creating the content they need to stay smart? Expect hot takes on long-tail extinction, “answer-engine optimization,” and whether originality still pays. 2. Hiring Hangover Meets AI Reality - New-grad recruiting is down 50 %, senior talent is grumbling, and managers admit they'd rather spin up an LLM than onboard Gen Z. Brian and Fareed unpack why the entry-level pipeline collapsed, where the arbitrage is hiding, and how startups can weaponize AI-native rookies before incumbents wake up. We add a dash of labor-economics humor, a sprinkle of Shopify-meets-Stack-Overflow, and you've got an episode that will leave you rethinking your product, growth, and hiring strategy all at the same time.

AI has changed the way developers work—and Stack Overflow is right at the centre of that shift. In this episode, Jody Bailey, CPTO at Stack Overflow, shares how the platform is adapting to AI, protecting its community, and embracing new revenue streams. We explore how LLMs are reshaping developer behaviour, why canonical answers still matter, and what it takes to keep trust, quality and community alive in the age of instant AI-generated code. If you're working on dev tools, building with AI, or just wondering how to keep your product relevant through disruption, this one's for you.Key takeawaysAI is both a disruptor and an enablerEngagement is shifting, not disappearingCommunity remains the core assetAI doesn't kill quality—it challenges itPrompt engineering is the new entry-level skillInnovation is iterative—even with AIStack is designing for tomorrow's engineersJody's vision is long termChapters00:00 – intro to Jody Bailey and his role at Stack Overflow03:30 – impact of AI and shift in how developers search for answers07:45 – Stack's new business model: licensing data to LLMs10:15 – protecting community-contributed data and enforcing attribution13:20 – changing nature of search and the role of AI17:00 – trust, verification, and the evolving user experience21:10 – internal AI experiments and lessons learned25:00 – balancing community, learning, and AI-powered answers28:20 – new skills required for developers in an AI world31:40 – evolving engineering roles and the future of team structures36:10 – making Stack Overflow accessible for the next generation39:50 – what Jody's most excited about for the futureFeatured Links: Follow Jody on LinkedIn | Stack Overflow | ‘Yes, Artificial Intelligence Has A Creative Side, Sort Of' feature at ForbesOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

This week in the security news: Malware-laced printer drivers Unicode steganography Rhode Island may sue Deloitte for breach. They may even win. Japan's active cyber defense law Stop with the ping LLMs replace Stack Overflow - ya don't say? Aggravated identity theft is aggravating Ivanti DSM and why you shouldn't use it EDR is still playing cat and mouse with malware There's a cellular modem in your solar gear Don't slack on securing Slack XSS in your mail SIM swapping and the SEC Ivanti and libraries Supercomputers in space! Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-875

У свіжому дайджесті DOU News обговорюємо скорочення в Microsoft, CarPlay Ultra від Apple, VPN-компанію, яка скасувала довічні підписки клієнтів, закінчення ери Stack Overflow та інші новини українського ІТ та світового тек-сектору. ▶️ Навігація 00:00 Інтро  01:04 Чверть лідів звільнили через конфлікт з керівництвом. Аналітика про скорочення айтівців https://dou.ua/lenta/articles/job-market-2025-part-3/ 03:43 LLM вбивають Stack Overflow https://newsletter.pragmaticengineer.com/p/the-pulse-134?open=false#%C2%A7stack-overflow-almost-dead 06:03 Партнерський блок 07:03 Новий CarPlay Ultra від Apple готовий, але поки що лише в Aston Martins https://arstechnica.com/cars/2025/05/apples-new-carplay-ultra-is-ready-but-only-in-aston-martins-for-now/ 09:31 OpenAI випустили Codex https://dou.ua/forums/topic/53860/ 12:35 Попри скорочення, компанія Klarna знову наймає людей у службу підтримки https://slashdot.org/story/25/05/14/2339257/klarna-pivots-back-to-humans-after-ai-experiment-fails 14:04 Microsoft проводить одне з найбільших скорочення з 2023 року https://dou.ua/forums/topic/53815/ 15:09 Microsoft намагається уникнути штрафів в ЄС, відокремлюючи Teams від Office https://www.engadget.com/big-tech/microsoft-attemps-to-avoid-eu-fines-by-further-decoupling-teams-and-office-170519085.html?src=rss 17:01 Uber винайшов маршрутки

Coming up in this episode * AI's Won't Take Over Yet * Is Rust Open Source? * and All Kinds of Feedback The Video Version https://youtu.be/LxMpNIfhFiA 0:00 Cold Open 3:56 Curl's "AI Slop" Problem 25:12 A Little Viral Licensing 42:12 So Much Feedback ❤️ 42:30 ukwan / Youtube 51:16 jliljj / Youtube 56:35 fredstech1 / Youtube 1:00:15 conan kudo / Youtube 1:02:06 amanita / Patreon 1:05:13 redvamp128 / Youtube 1:09:35 The Rules, Commands & Next Time 1:19:12 Stinger The Curl project pushes back on AI slop The Ars Technica article (https://arstechnica.com/gadgets/2025/05/open-source-project-curl-is-sick-of-users-submitting-ai-slop-vulnerabilities/) The Curl project on Hacker One (https://hackerone.com/curl?type=team)

In today's episode of Tech Talks Daily, I sit down with Prashanth Chandrasekar, CEO of Stack Overflow, to explore how the rise of AI is reshaping the future of software development and the evolving role of community-driven platforms. Prashanth offers a grounded view of what is happening behind the headlines as the tech world moves into the third year of widespread AI adoption. We begin by unpacking how AI is already transforming the way developers work, automating routine coding tasks, while still falling short when it comes to complexity and trustworthiness. Prashanth explains why Stack Overflow is positioning itself as a community and a vital "Knowledge as a Service" platform, integrating with AI tools to maintain trusted knowledge in an age where data quality and source attribution have never been more important. Our conversation also delves into the growing concern of "LLM brain drain" and the broader data crisis facing AI innovation. Prashanth highlights the importance of human-generated content, even as synthetic data technologies advance. He shares why Stack Overflow's continued investment in community-driven knowledge, responsible AI use, and strategic partnerships with major AI players is critical to maintaining a healthy ecosystem for developers and enterprises. We also look ahead to Stack Overflow's strategic priorities, including expanding content types, integrating AI into both the public platform and Stack Overflow for Teams, and moving toward a seamless user experience across the tools developers already use every day. How can businesses balance automation with human insight in their AI strategies? Why is data scarcity a looming issue for AI development? And how is Stack Overflow preparing to lead community and enterprise solutions into the next era of innovation? Let's find out.

Chris Dixon believes we're at a pivotal inflection point in the internet's evolution. As a general partner at Andreessen Horowitz and author of Read Write Own, Chris believes the current internet, dominated by large platforms like YouTube and Spotify, has strayed far from its decentralized roots. He argues that the next era—powered by blockchain technology—can restore autonomy to creators, lower barriers for innovation, and shift economic power back to the network's edges. Tyler and Chris discuss the economics of platform dominance, how blockchains merge protocol-based social benefits with corporate-style competitive advantages, the rise of stablecoins as a viable blockchain-based application, whether Bitcoin or AI-created currencies will dominate machine-to-machine payments, why Stack Overflow could be the first of many casualties in an AI-driven web, venture capital's vulnerability to AI disruption, whether open-source AI could preserve national sovereignty, NFTs as digital property rights system for AIs, how Kant's synthetic a priori, Kripke's modal logic, and Heidegger's Dasein sneak into Dixon's term‑sheet thinking, and much more. Read a full transcript enhanced with helpful links, or watch the full video. Recorded March 26th, 2025. Help keep the show ad free by donating today! Other ways to connect Follow us on X and Instagram Follow Tyler on X Follow Chris on X Sign up for our newsletter Join our Discord Email us: cowenconvos@mercatus.gmu.edu Learn more about Conversations with Tyler and other Mercatus Center podcasts here.

Alex pitches you on Codex, his AI prompt database idea. He gives you the elevator pitch & likely questions a venture investor would have.  — Show Notes: (0:00) A note from our sponsor (2:28) Welcome back to Founder's Journal (4:00) What is Codex?  (4:20) Two truths in prompting (6:05) Elevator pitch (8:50) Biggest investor questions (13:05) Conclusion — Thanks to our presenting sponsor, Gusto. Head to www.gusto.com/alex — Check Out Alex's Stuff: • storyarb - https://www.storyarb.com/ • growthpair - https://www.growthpair.com/ • distro - https://youdistro.com/  • X - https://x.com/businessbarista • Linkedin - https://www.linkedin.com/in/alex-lieberman/ Learn more about your ad choices. Visit megaphone.fm/adchoices