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Sam Altman and Dario Amodei both published essays this week on the future of AI and what we must do so everyone benefits. One of them is literally titled "Our Plan." The other one has an actual plan.Kwaku and I dig into it all on this week's FAFO Friday. Plus — and this story isn't getting enough attention — according to New Scientist, two years ago Ukraine used fully autonomous “Terminator” drones that killed everything they saw. No human in the loop. Dead Russian soldiers. But rest assured, according to the drone-maker cited, it was just a one-off “test.” But how long until this is standard practice? And do we want that future? So, yeah, maybe we should get planning… ---Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgradeMusic by Jonathan Zalben
If you think code is safe from automation, think again. This week's discussion tackles why the rise of vibe coding and AI-powered tools could upend long-held beliefs about software development, with even seasoned pros rethinking their roles. Also, a new C++ documentary is worth watching! Windows After a weekend of Build session viewing, two big takeaways! Vibe coding native Windows apps and a new reactive dev model for WinUI will help to make modern app dev easier for everyone A new theory emerges: The real reason Microsoft is fixing Windows 11 is that it needs this foundation for a future of hybrid AI agents. And hybrid means more than just local + cloud. Patch Tuesday is here! As promised, Microsoft fixed a record number of security issues thanks to AI 24H2/25H2: Shared audio, more NPU in Task Manager, multi-app camera support, user folder name choice in OOBE, more 26H1: Xbox Mode, Drop tray, etc. Windows Insider Program: New 26H1 Beta channel added for some reason Dell now sells a Windows Hello ESS-compatible wired mouse AI WWDC 2026: Apple announced vibe-coding advances for normal users (Safari extensions) and developers (Xcode). Paul used Xcode and Claude Code to create a full-featured Markdown editor app in about 12-15 minutes. Google drops the price of AI Plus plan to $4.99 per month, raises storage to 400 GB and announces new NotebookLM capabilities Proton Drive is coming to Linux, has a new SDK, and now has a new CLI too. We're going to need a CLI section in the show notes. XBOX and gaming Microsoft Games Showcase: It needed to be a big day for Xbox and it was Microsoft showed off Halo: Campaign Evolved, Gears of War E-Day, Fable, and a lot more Some games will be console-exclusive in the future, starting with the new Gears Microsoft will sell a limited edition Xbox Series X25 later this year Xbox leadership is exploring new business models for the next console - Game Pass lost "millions" of subscribers after last year's price hikes Xbox Insider update adds a new way to discover mutual friends, more Valve says the Steam Machine and Steam Frame will ship this summer Tips and picks Tip of the week: Windows 11 Field Guide is being updated to 2026 edition App pick of the week: Brave Origin RunAs Radio this week: How Machine Learning Fails with Megan Robertson Brown liquor pick of the week: Thy Bøg Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows zscaler.com/security trustedtech.team/windowsweekly365
If you think code is safe from automation, think again. This week's discussion tackles why the rise of vibe coding and AI-powered tools could upend long-held beliefs about software development, with even seasoned pros rethinking their roles. Also, a new C++ documentary is worth watching! Windows After a weekend of Build session viewing, two big takeaways! Vibe coding native Windows apps and a new reactive dev model for WinUI will help to make modern app dev easier for everyone A new theory emerges: The real reason Microsoft is fixing Windows 11 is that it needs this foundation for a future of hybrid AI agents. And hybrid means more than just local + cloud. Patch Tuesday is here! As promised, Microsoft fixed a record number of security issues thanks to AI 24H2/25H2: Shared audio, more NPU in Task Manager, multi-app camera support, user folder name choice in OOBE, more 26H1: Xbox Mode, Drop tray, etc. Windows Insider Program: New 26H1 Beta channel added for some reason Dell now sells a Windows Hello ESS-compatible wired mouse AI WWDC 2026: Apple announced vibe-coding advances for normal users (Safari extensions) and developers (Xcode). Paul used Xcode and Claude Code to create a full-featured Markdown editor app in about 12-15 minutes. Google drops the price of AI Plus plan to $4.99 per month, raises storage to 400 GB and announces new NotebookLM capabilities Proton Drive is coming to Linux, has a new SDK, and now has a new CLI too. We're going to need a CLI section in the show notes. XBOX and gaming Microsoft Games Showcase: It needed to be a big day for Xbox and it was Microsoft showed off Halo: Campaign Evolved, Gears of War E-Day, Fable, and a lot more Some games will be console-exclusive in the future, starting with the new Gears Microsoft will sell a limited edition Xbox Series X25 later this year Xbox leadership is exploring new business models for the next console - Game Pass lost "millions" of subscribers after last year's price hikes Xbox Insider update adds a new way to discover mutual friends, more Valve says the Steam Machine and Steam Frame will ship this summer Tips and picks Tip of the week: Windows 11 Field Guide is being updated to 2026 edition App pick of the week: Brave Origin RunAs Radio this week: How Machine Learning Fails with Megan Robertson Brown liquor pick of the week: Thy Bøg Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows zscaler.com/security trustedtech.team/windowsweekly365
If you think code is safe from automation, think again. This week's discussion tackles why the rise of vibe coding and AI-powered tools could upend long-held beliefs about software development, with even seasoned pros rethinking their roles. Also, a new C++ documentary is worth watching! Windows After a weekend of Build session viewing, two big takeaways! Vibe coding native Windows apps and a new reactive dev model for WinUI will help to make modern app dev easier for everyone A new theory emerges: The real reason Microsoft is fixing Windows 11 is that it needs this foundation for a future of hybrid AI agents. And hybrid means more than just local + cloud. Patch Tuesday is here! As promised, Microsoft fixed a record number of security issues thanks to AI 24H2/25H2: Shared audio, more NPU in Task Manager, multi-app camera support, user folder name choice in OOBE, more 26H1: Xbox Mode, Drop tray, etc. Windows Insider Program: New 26H1 Beta channel added for some reason Dell now sells a Windows Hello ESS-compatible wired mouse AI WWDC 2026: Apple announced vibe-coding advances for normal users (Safari extensions) and developers (Xcode). Paul used Xcode and Claude Code to create a full-featured Markdown editor app in about 12-15 minutes. Google drops the price of AI Plus plan to $4.99 per month, raises storage to 400 GB and announces new NotebookLM capabilities Proton Drive is coming to Linux, has a new SDK, and now has a new CLI too. We're going to need a CLI section in the show notes. XBOX and gaming Microsoft Games Showcase: It needed to be a big day for Xbox and it was Microsoft showed off Halo: Campaign Evolved, Gears of War E-Day, Fable, and a lot more Some games will be console-exclusive in the future, starting with the new Gears Microsoft will sell a limited edition Xbox Series X25 later this year Xbox leadership is exploring new business models for the next console - Game Pass lost "millions" of subscribers after last year's price hikes Xbox Insider update adds a new way to discover mutual friends, more Valve says the Steam Machine and Steam Frame will ship this summer Tips and picks Tip of the week: Windows 11 Field Guide is being updated to 2026 edition App pick of the week: Brave Origin RunAs Radio this week: How Machine Learning Fails with Megan Robertson Brown liquor pick of the week: Thy Bøg Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows zscaler.com/security trustedtech.team/windowsweekly365
If you think code is safe from automation, think again. This week's discussion tackles why the rise of vibe coding and AI-powered tools could upend long-held beliefs about software development, with even seasoned pros rethinking their roles. Also, a new C++ documentary is worth watching! Windows After a weekend of Build session viewing, two big takeaways! Vibe coding native Windows apps and a new reactive dev model for WinUI will help to make modern app dev easier for everyone A new theory emerges: The real reason Microsoft is fixing Windows 11 is that it needs this foundation for a future of hybrid AI agents. And hybrid means more than just local + cloud. Patch Tuesday is here! As promised, Microsoft fixed a record number of security issues thanks to AI 24H2/25H2: Shared audio, more NPU in Task Manager, multi-app camera support, user folder name choice in OOBE, more 26H1: Xbox Mode, Drop tray, etc. Windows Insider Program: New 26H1 Beta channel added for some reason Dell now sells a Windows Hello ESS-compatible wired mouse AI WWDC 2026: Apple announced vibe-coding advances for normal users (Safari extensions) and developers (Xcode). Paul used Xcode and Claude Code to create a full-featured Markdown editor app in about 12-15 minutes. Google drops the price of AI Plus plan to $4.99 per month, raises storage to 400 GB and announces new NotebookLM capabilities Proton Drive is coming to Linux, has a new SDK, and now has a new CLI too. We're going to need a CLI section in the show notes. XBOX and gaming Microsoft Games Showcase: It needed to be a big day for Xbox and it was Microsoft showed off Halo: Campaign Evolved, Gears of War E-Day, Fable, and a lot more Some games will be console-exclusive in the future, starting with the new Gears Microsoft will sell a limited edition Xbox Series X25 later this year Xbox leadership is exploring new business models for the next console - Game Pass lost "millions" of subscribers after last year's price hikes Xbox Insider update adds a new way to discover mutual friends, more Valve says the Steam Machine and Steam Frame will ship this summer Tips and picks Tip of the week: Windows 11 Field Guide is being updated to 2026 edition App pick of the week: Brave Origin RunAs Radio this week: How Machine Learning Fails with Megan Robertson Brown liquor pick of the week: Thy Bøg Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows zscaler.com/security trustedtech.team/windowsweekly365
If you think code is safe from automation, think again. This week's discussion tackles why the rise of vibe coding and AI-powered tools could upend long-held beliefs about software development, with even seasoned pros rethinking their roles. Also, a new C++ documentary is worth watching! Windows After a weekend of Build session viewing, two big takeaways! Vibe coding native Windows apps and a new reactive dev model for WinUI will help to make modern app dev easier for everyone A new theory emerges: The real reason Microsoft is fixing Windows 11 is that it needs this foundation for a future of hybrid AI agents. And hybrid means more than just local + cloud. Patch Tuesday is here! As promised, Microsoft fixed a record number of security issues thanks to AI 24H2/25H2: Shared audio, more NPU in Task Manager, multi-app camera support, user folder name choice in OOBE, more 26H1: Xbox Mode, Drop tray, etc. Windows Insider Program: New 26H1 Beta channel added for some reason Dell now sells a Windows Hello ESS-compatible wired mouse AI WWDC 2026: Apple announced vibe-coding advances for normal users (Safari extensions) and developers (Xcode). Paul used Xcode and Claude Code to create a full-featured Markdown editor app in about 12-15 minutes. Google drops the price of AI Plus plan to $4.99 per month, raises storage to 400 GB and announces new NotebookLM capabilities Proton Drive is coming to Linux, has a new SDK, and now has a new CLI too. We're going to need a CLI section in the show notes. XBOX and gaming Microsoft Games Showcase: It needed to be a big day for Xbox and it was Microsoft showed off Halo: Campaign Evolved, Gears of War E-Day, Fable, and a lot more Some games will be console-exclusive in the future, starting with the new Gears Microsoft will sell a limited edition Xbox Series X25 later this year Xbox leadership is exploring new business models for the next console - Game Pass lost "millions" of subscribers after last year's price hikes Xbox Insider update adds a new way to discover mutual friends, more Valve says the Steam Machine and Steam Frame will ship this summer Tips and picks Tip of the week: Windows 11 Field Guide is being updated to 2026 edition App pick of the week: Brave Origin RunAs Radio this week: How Machine Learning Fails with Megan Robertson Brown liquor pick of the week: Thy Bøg Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows zscaler.com/security trustedtech.team/windowsweekly365
If you think code is safe from automation, think again. This week's discussion tackles why the rise of vibe coding and AI-powered tools could upend long-held beliefs about software development, with even seasoned pros rethinking their roles. Also, a new C++ documentary is worth watching! Windows After a weekend of Build session viewing, two big takeaways! Vibe coding native Windows apps and a new reactive dev model for WinUI will help to make modern app dev easier for everyone A new theory emerges: The real reason Microsoft is fixing Windows 11 is that it needs this foundation for a future of hybrid AI agents. And hybrid means more than just local + cloud. Patch Tuesday is here! As promised, Microsoft fixed a record number of security issues thanks to AI 24H2/25H2: Shared audio, more NPU in Task Manager, multi-app camera support, user folder name choice in OOBE, more 26H1: Xbox Mode, Drop tray, etc. Windows Insider Program: New 26H1 Beta channel added for some reason Dell now sells a Windows Hello ESS-compatible wired mouse AI WWDC 2026: Apple announced vibe-coding advances for normal users (Safari extensions) and developers (Xcode). Paul used Xcode and Claude Code to create a full-featured Markdown editor app in about 12-15 minutes. Google drops the price of AI Plus plan to $4.99 per month, raises storage to 400 GB and announces new NotebookLM capabilities Proton Drive is coming to Linux, has a new SDK, and now has a new CLI too. We're going to need a CLI section in the show notes. XBOX and gaming Microsoft Games Showcase: It needed to be a big day for Xbox and it was Microsoft showed off Halo: Campaign Evolved, Gears of War E-Day, Fable, and a lot more Some games will be console-exclusive in the future, starting with the new Gears Microsoft will sell a limited edition Xbox Series X25 later this year Xbox leadership is exploring new business models for the next console - Game Pass lost "millions" of subscribers after last year's price hikes Xbox Insider update adds a new way to discover mutual friends, more Valve says the Steam Machine and Steam Frame will ship this summer Tips and picks Tip of the week: Windows 11 Field Guide is being updated to 2026 edition App pick of the week: Brave Origin RunAs Radio this week: How Machine Learning Fails with Megan Robertson Brown liquor pick of the week: Thy Bøg Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows zscaler.com/security trustedtech.team/windowsweekly365
Rajiv Pant thinks of AI as an Iron Man suit for the mind. Something you put on. That you fuse with. That takes you to greater heights — but could also make you incredibly dizzy and be very dangerous if you, the human, don't stay in control of it.Rajiv sees successful collaboration with AI as a “synthesis.” And to that end, he's building a series of skills and methodologies for synthesis engineering, coding, writing and project management. In this episode, Rajiv explains why synthesis engineering is a kind of middle ground between vibe coding and agentic engineering. It's a method for human-AI collaboration that helps builders go faster while not falling into the trap of letting AI do the things we humans ought to own. i.e. The architecture. The judgment. The thinking and learning. Rajiv is an engineering and product leader with deep experience in media. He's held senior roles at the Wall Street Journal, Hearst, and the New York Times (where he and I first met). Today he's the president of Flatiron Software. Rajiv has open-sourced all of his Synthesis methodologies and he and I also discuss why open source is so important as we increasingly turn to AI to sharpen our thinking. Can we really trust a system we don't understand? Would Tony Stark have trusted his suit if he didn't know how it was built? Chapters:(00:00) - Iron Man suit for the mind (02:11) - What goes wrong when you vibe code into production (04:20) - What synthesis coding looks like hands on keyboard (05:40) - What AI code slop looks like (08:30) - The unexpected joy of managing a team of agents (11:00) - Using AI as a thinking partner without outsourcing your thinking (15:30) - How a non-programmer built a better version of his own software (18:15) - Is your use of AI making you dumber? (23:26) - Trusting AI when it's a black box (27:11) - If Tony Stark owned your suit, would you trust it? (28:26) - What AI does to the economics of open source Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade
President Trump signed an executive order this week that “voluntarily” invites AI makers to share their most advanced models with the government thirty days before a wider release. Specifically, the NSA will be reviewing these models for cybersecurity threats. So what's this executive order mean for AI regulation? How voluntary is this really? Do we want the NSA involved? And what other forms of review may come next? And, related: NOTUS reports that federal officials are in talks with Sam Altman and other AI leaders about the US government stock in these companies. This comes as Sen. Bernie Sanders on the left and Steve Bannon on the right are both calling for the government to own 50% of the AI companies, with the American people getting dividends. So, should the government be regulating AI? Should it own AI? And should it both regulate and own AI? It's strange bedfellows all around…Kwaku and I get into on the latest FAFO Friday. Plus, we explore the concept of “cognitive uploading,” which Google NotebookLM's co-founder Steven Johnson divined in this week's interview (and subsequently blogged about). As we work with AI, we need to draw lines on what we will task it with and what we won't. And the lines are all over the place right now, which is a perfect jumping off point to future around and find out… ---Future Around & Find Out newsletter and more: https://www.futurearound.comMusic by Jonathan Zalben
In this episode of Elixir Wizards, hosts Charles Suggs and Emma Whamond sit down with Marek Šuppa, creator of the Missing GitHub Status page, a project that reconstructs GitHub's historical uptime data and reveals discrepancies between official status reporting and the platform's actual reliability. Marek tells us about his dev journey from open source contributor at DuckDuckGo to machine learning engineer at Cisco-acquired Slido. Then, we discuss GitHub's evolution from a hosted Git service into a critical developer tool. We cover reliability, transparency, AI-driven platform growth, developer workflows, and the challenges of balancing convenience with resilience. Along the way, we cover alternative platforms, self-hosted solutions, and whether recent outages are changing how developers think about ownership, dependency, and the future of software collaboration. Topics Discussed in this Episode: Why did Mr. Shu create the Missing GitHub Status Page? GitHub's reported uptime versus developer experiences How open source contributions shaped Marek's career The evolution of GitHub from tool to critical infrastructure Centralization risks in modern software development Git's distributed roots and today's platform-centric workflows Developer reactions to GitHub outages Transparency and accountability in status reporting AI's impact on developer platforms and infrastructure demands Microsoft's stewardship of GitHub Forgejo, Codeberg, and alternative Git hosting platforms Self-hosted Git solutions and tradeoffs Network effects and platform lock-in The social side of software collaboration Building resilience into developer workflows What GitHub outages teach us about infrastructure dependency Links Mentioned: The Missing GitHub Status Page https://mrshu.github.io/github-statuses/ Slido https://www.slido.com/ https://duckduckgo.com/ The official GitHub Status Page https://www.githubstatus.com/ Statuspage.iohttps://www.atlassian.com/software/statuspage Zig Leaves GitHub https://ziglang.org/news/migrating-from-github-to-codeberg/ Ghostty Leaves GitHub https://mitchellh.com/writing/ghostty-leaving-github GitLab https://about.gitlab.com/ Codeberg https://codeberg.org/ https://git.kernel.org/ Forgejo Lightweight Self-Hosting https://forgejo.org/ Former GitHub CEO Thomas Dohmke launches Entire https://entire.io/news/former-github-ceo-thomas-dohmke-raises-60-million-seed-round Update on Spain and LALIGA blocks of the internet https://vercel.com/blog/update-on-spain-and-laliga-blocks-of-the-internet
Max Deichmann is the co-founder of Langfuse, the open-source LLM engineering platform that became the observability layer of choice for teams building production AI agents, before being acquired by ClickHouse. He started as a business student who taught himself to code via CS50 on a beach in Singapore, pivoted through Y Combinator, fired his own customers mid-batch, and built Langfuse out of a Sunday night conversation about what they'd actually want to build if nothing was in the way. In this episode, Tobi and Max dig into what it really means to build and operate AI agents in production, not the LinkedIn version, but the 3 am alert, copy-pasted into Codex version. They cover the full loop: from pre-production experimentation and prompt iteration, to tracing, online evaluation, and the emerging architecture of agentic incident response. Max is unusually honest about where Langfuse itself still falls short, and what the next 12 months of the engineer's job actually look like. What CTOs will take away: a clear mental model for LLM observability vs. traditional observability, a practical blueprint for agentic on-call workflows, and a grounded view of where agents are genuinely working in production today, and where the hype still outpaces reality. Topics covered: Why traditional observability tools fail for non-deterministic AI applications The Langfuse loop: pre-production testing, tracing, online evaluation, and iteration How the ClickHouse acquisition happened, and the half-page doc that decided it Open source as a go-to-market strategy: adoption without a sales team Agentic on-call: how Max's team handles 3 am incidents with Codex today The "decision inbox" model, what the engineer's job looks like when agents do the work Where agents are genuinely succeeding in production (and where LinkedIn is lying to you)
Steven Johnson dreamed of building the ultimate research assistant. Now he's doing just that at Google, where he's the co-founder and editorial director of NotebookLM.It's one of the most interesting AI products out there. It radically changes how we learn, research, and remember — and the "notebook" itself is becoming a standard unit of knowledge across Google, rolling out in more and more places where AI needs to reference a body of sources.In this episode, the author of _Where Good Ideas Come From_ explains how AI is making him a better researcher and writer — and why tools like NotebookLM are so powerful when you're trying to make new connections, remember what you've already found, and figure out what's missing.There's a lot of fear right now that AI is making us dumber. That by relying on it too much, we're engaging in "cognitive offloading" and stunting our learning. That's a real risk, especially in schools.But Steven says we should also be talking about what you can gain from AI — and the power of something he calls "cognitive uploading."Resources:* Google NotebookLM: https://notebooklm.google/* Steven Johnson: https://stevenberlinjohnson.com/Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade(00:00) - If you are interested in truly understanding something, this is the greatest time to be alive (01:25) - Steven's controversial NYT piece and the cold call from Google Labs (02:55) - Who NotebookLM's power users are (04:40) - The notebook as a new format for knowledge (06:20) - Featured notebooks: earnings reports, Shakespeare, and Dungeons & Dragons (11:00) - Writing a book about the Gold Rush with NotebookLM (13:20) - Four weeks of research in 14 minutes (16:30) - Following serendipitous connections through the source material (17:50) - Cognitive offloading and the illusion of understanding (21:00) - How Steven actually writes with AI (24:30) - Paragraph by paragraph: a new kind of writing (26:55) - Do readers need to know AI helped write it? (28:55) - Where good ideas come from in the age of AI (31:56) - Searching the negative space (33:56) - The adjacent possible: custom software for everyone (37:01) - NotebookLM for nonprofits and small organizations (39:06) - Tens of thousands of quotes, 25 years of forgetting (40:56) - "It's cognitive uploading"
The Pope's encyclical on AI has a direct message for builders: every design choice reflects a vision of humanity. He's calling on developers to "disarm" AI — to resist the race for dominance and ask whether we're actually building a future worth having.On the latest FAFO Friday, Dan and Kwaku dig into the encyclical, plus two big moves to restrict AI in schools: the American Federation of Teachers calling for drastic cuts to screens and AI chatbots, and UC Berkeley Law School banning nearly all AI use. Also: Wharton's Ethan Mollick on "cognitive surrender" — and why the goal isn't to avoid AI, but to be intentional about what you hand over and what you keep for yourself.---Future Around & Find Out newsletter and more: https://www.futurearound.comMusic by Jonathan Zalben
In Elixir Wizards S15E04, Charles Suggs and Emma Whamond are joined by Somtochi Onyekwere, a software engineer at Fly.io and contributor to the Corrosion distributed database project, to talk about distributed systems, infrastructure resilience, and the growing fragility of centralized cloud platforms. We discuss what recent outages across major providers reveal about modern infrastructure and why more teams are starting to rethink assumptions around reliability, failover, and system design. Somtochi explains how Fly.io approaches geographic distribution, eventual consistency, and replication across nodes, along with the trade-offs that come with building systems this way. The conversation explores CRDTs (Conflict-free Replicated Data Types), consensus, split-brain prevention, and what actually happens when distributed systems fail in production. We also talk about testing strategies, rollback planning, property-based testing tools, and how teams can reduce blast radius when things inevitably go wrong. Along the way, we discuss AI infrastructure, sandboxing AI agents, and how newer workloads may add pressure to already centralized systems. The episode closes with practical advice for developers who want to build more resilient applications without over-complicating their architecture. Topics Discussed in this Episode: Corrosion and distributed database replication Centralized cloud fragility and recent outage patterns Distributed systems versus traditional cloud architectures Multi-region deployment strategies for Phoenix applications CRDTs and conflict resolution in distributed systems Eventual consistency versus strict consistency tradeoffs Consensus, leader election, and split-brain prevention Testing failover and recovery scenarios Property-based testing and Antithesis Rollback planning for database schema migrations Reducing blast radius through system isolation Health checks and blue-green deployment strategies Fly Proxy request routing and replay behavior Cross-region synchronization and replication challenges Single points of failure inside “redundant” systems Backup restoration testing and disaster recovery planning Network partitions and failure handling in production Infrastructure monitoring and operational visibility AI infrastructure workloads and operational strain Sandboxing and securing AI agents Sprites and AI workflows at Fly.io Latency improvements from geographic distribution Distributed systems tradeoffs in real-world environments Transitive dependency failures across cloud providers Practical resilience strategies for modern engineering teams Links Mentioned: https://fly.io https://github.com/superfly/corrosion https://docs.gitops.weaveworks.org/ FluxCD https://fluxcd.io/ Fly.io Stateful Sandbox Environments https://sprites.dev/ Cloudflare Workers AI Inference Platform https://www.cloudflare.com/products/workers-ai/ “An AI Agent Just Destroyed Our Production Data. It Confessed in Writing” Twitter post from PocketOS founder: https://x.com/lifeof_jer/status/2048103471019434248 Oct 2025 AWS Outage https://www.theguardian.com/technology/2025/oct/24/amazon-reveals-cause-of-aws-outage Dec 2025 Cloudflare Outage https://www.theguardian.com/technology/2025/dec/05/another-cloudflare-outage-takes-down-websites-linkedin-zoom July 2025 Crowdstrike Outage https://www.ibm.com/think/news/recent-crowdstrike-outage-what-you-should-know March 2026 Stryker Cyber Attack https://www.stryker.com/us/en/about/news/2026/a-message-to-our-customers-03-2026.html https://aws.amazon.com/ https://cloud.google.com/ https://azure.microsoft.com/en-us https://fly.io/docs/elixir/ CRDTs!! https://smartlogic.io/podcast/elixir-wizards/s13-e03-local-first-liveview-svelte-pwa/ https://antithesis.com/docs/resources/property_based_testing/ https://hex.pm/packages/proper
If your MCP server has dozens of tools, it's probably built wrong. You need tools that are specific and clear for each use case—but you also can't have too many. This creates an almost impossible tradeoff that most companies don't know how to solve.That's why we interviewed Alex Rattray, the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. We get into MCP and the future of the AI-native internet. [Disclosure: Dan is a small investor in Stainless.]If you found this episode interesting, please like, subscribe, comment, and share.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperGet started with Braintrust at https://www.braintrust.dev/ Timestamps: 00:01:15 - Introduction 00:05:09 - APIs and MCP, the connectors of the new internet 00:11:00 - Why MCP exists 00:17:15 - Why MCP servers are hard to get right 00:20:24 - Design principles for reliable MCP servers 00:25:06 - Using MCP for business ops at Stainless 00:40:57 - Alex's take on the security model for MCP 00:44:42 - How one-off AI actions become permanent production softwareLinks to resources mentioned in the episode:Alex Rattray: Alex Rattray (@RattrayAlex), Alex RattrayStainless: https://www.stainless.com/
In this episode, Peter breaks down one of the first real decisions Cardano developers face when building a dApp, choosing between Mesh SDK and Evolution SDK. Both libraries cover the off-chain essentials like transaction building, wallet integration, provider support, smart contract interoperability, and governance-era transactions, but they make different trade-offs depending on the kind of app you want to ship.The episode walks through practical decision points instead of abstract theory. Peter explains when Mesh makes more sense for React-based apps, production-ready smart contract templates, Hydra support, and AI-assisted development workflows, and where Evolution can be the better fit for Cloudflare Workers, edge runtimes, or teams that prefer stronger type safety and functional programming patterns. He also shows live examples from his own Mesh-based projects, including a bounty platform, a Cardano-wide leaderboard, and a governance dashboard, to make the comparison concrete.Key Takeaways:- Mesh SDK and Evolution SDK are both TypeScript-first Cardano off-chain libraries that support transaction building, wallet integration, multi-provider workflows, and governance-era transactions.- Mesh is generally the stronger choice for React-based dApps, teams that want ready-made smart contract templates, Hydra integrations, and developers leaning on AI coding tools.- Evolution SDK is often the better fit for Cloudflare Workers, edge deployments, WASM-hostile runtimes, and codebases that prioritise functional programming and strict type safety.- Teams migrating from Lucid or Lucid Evolution have a more natural upgrade path into Evolution SDK because it is the direct successor.- For NFT marketplace-style builds, Mesh offers practical advantages through its existing contract templates and developer tooling.- Mesh includes features such as social sign-in and custody wallet creation that can reduce onboarding friction for mainstream users entering a Cardano application.- The best SDK choice depends less on ideology and more on deployment target, UI framework, developer workflow, and how much prebuilt infrastructure a team wants.Links & References:- Mesh SDK vs Evolution SDK: Which off-chain library? - Learn Cardano: https://learncardano.io/comparison/mesh-vs-evolution-sdk/Website: https://learncardano.ioX/Twitter: https://x.com/LearnCardanoDisclaimer: This content is for educational purposes only. Nothing constitutes financial advice.DISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.
"It would be humanity's biggest ever unforced error."Silicon Valley has changed its tune. After years of warning us their AI was going to take all the jobs, the big AI companies — and their investors — would now rather we stop talking about it. A16Z calls the jobs apocalypse talk "unhelpful marketing, bad economics, and worse history" (note the order). Even writers Dan trusts more, like Ezra Klein and Derek Thompson, have lately poured cold water on the idea.Calum Chace is not so blasé.Ten years ago, Calum coined the term and wrote the book, The Economic Singularity — the moment machines can do every job we'd pay a human to do, cheaper and better. He thinks we're fast approaching that event horizon, and we'd better have a plan for what a world without paid work actually looks like.Calum is also the co-founder of Conscium, which verifies AI agents before they do something they shouldn't. He's a self-described "apocaloptimist" — he thinks full automation could be the best thing that ever happens to humanity, or the worst, depending on whether we bother to plan for it now.In this episode:Why Calum thinks full automation is inevitable (and roughly when)The "apocaloptimist" case: why this could be the best thing to ever happen to usWhat the bad version looks like — and how fast it could unravelWhat COVID accidentally taught us about distributing money at scaleWhy self-driving cars didn't wake us up — and what mightThe AI agent that wiped a company's database and confessed it just "guessed"What Calum is building at Conscium to verify AI agents before they do worsePractical advice for parents, students, and anyone trying to plan a careerSupport Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!---Music by Jonathan Zalben
The AI narrative shifting… Jobs apocalypse? What jobs apocalypse!? Who said that was coming? There's been a noticeable shift from the AI titans recently. Turns out (shocker!) the world isn't responding well to being told we'll all be out of a job soon. And Silicon Valley is waking up to the fact that they need more popular support — both for the data centers they hope to build quickly and also for their upcoming IPOs. Meanwhile, the AI outrage is building. This week in AI anxiety: Students boo a commencement speaker who mentioned AIGallup reports that 71% of Americans are opposed to new data centers (with 48% “strongly opposed”)Meta employees are miserable as another round of (AI-driven, so they say) layoffs approachThis week in trying to change the narrative: Andreessen Horowitz publishes “The ‘AI Job Apocalypse' Is a Complete Fantasy” and explains why the “the claim that AI will produce economy-wide, permanent unemployment is unhelpful marketing, bad economics, and worse history.” And I find it very instructive that this list (and every list is an ordered list whether you admit it or not) begins with the concern that this is “unhelpful marketing.” (To the piece's credit, it gets pretty wonky with charts and graphs from there.)Meanwhile, you know what's helpful to marketing? Spending a gazillion dollars to get your message out. To wit: The New York Times reports that Andreessen Horowitz is the biggest spender so far in this midterm election cycle, spending $115M to promote AI, crypto, and other founder-friendly initiatives. OK, so these pieces of data and “anecdata” are the jumping off point for this week's “FAFO Friday.” Enjoy! Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!---Music by Jonathan Zalben
In Season 15 episode 3, Charles Suggs sits down with Greg Medland, aka “The Elixir Fixer,” to talk about the current state of hiring and the software jobs market in 2026. Greg shares what he's seeing from both sides of the hiring process as an Elixir-focused recruiter, from shifting company expectations to the growing importance of specialization, communication skills, and real-world product thinking. We discuss how the market has changed since the 2021–2022 hiring boom, why things feel more uncertain today, and how developers are adapting to a slower, more competitive landscape. The conversation also explores how AI is affecting hiring workflows, résumé quality, technical interviews, and even the rise of fraudulent candidates. Greg explains why human relationships and reputation still matter more than ever, especially in smaller ecosystems like Elixir where community connections carry real weight. Along the way, we talk about what junior developers are up against, why senior engineers with domain expertise continue to stand out, and what developers can do to position themselves more effectively in today's market. Greg shares practical advice for building a sustainable career, developing a clear professional identity, and navigating a rapidly changing industry. Topics discussed in this episode: The current state of the Elixir job market Hiring trends and market shifts since 2021–2022 How AI is changing hiring and recruiting workflows Fraudulent candidates and AI-generated résumés Domain expertise vs. generalist engineering skills Product thinking and customer-focused development What companies are looking for in 2026 Junior developer challenges in the current market Why senior specialists remain in demand Networking and relationship-building in tech Open source contributions and visibility in the Elixir community Standing out in a crowded hiring environment Résumé quality and application strategies The role of personal branding for developers Remote work trends and geographic hiring patterns Technical interview expectations and evaluation changes Startup vs. enterprise hiring differences Human connection in an increasingly automated industry Career resilience and long-term positioning Building a sustainable software engineering career Links mentioned: Socially Responsible Recruitment https://sr2rec.com/en/ Greg's LinkedIn https://www.linkedin.com/in/elixirfixer/ Greg's email address: greg@sr2rec.com
Jay Dixit helps writers improve their writing with AI. He doesn't recommend that AI write for you — he hates that — but he says it can be a great partner to pull ideas out and to be there for you when you get stuck and just wanna doom Scroll. Jay headed Open AI's Writing Community and is the founder of Socratic AI.He's a writer and a journalist, and we sat down at South by Southwest to future around and find out. Jay says "We need to be using AI to unlock our humanity — to do the things that we're scared to do."Chapters(00:30) - Stop asking AI to write for you (02:15) - Flip the script and let AI interview you (04:30) - Why the defaults push you toward lazy thinking (06:30) - Using AI at every phase of the writing process (08:00) - Give the AI your criteria, then ask for feedback (09:30) - The dark night of the soul and the 1 a.m. problem (13:15) - The double-edged sword of always-on AI (16:00) - What's catching Jay's eye at SXSW 2026 (17:00) - Why Wikipedia photos are so bad — and how Jay is fixing it (20:30) - AI as a photography coach (23:30) - How to stand out in a sea of AI slop (26:56) - What George Carlin would make of this moment (28:56) - The text Jay was avoiding sending his dad (31:26) - Using AI to unlock your humanity Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!---Music by Jonathan Zalben
Sophie Buonassisi speaks with Jennifer Li, general partner at a16z, about why infrastructure is becoming one of the most important areas in AI. They discuss how the shift to AI-native systems is reshaping everything from storage and compute to developer tooling and orchestration. The conversation explores early insights from companies like ElevenLabs, why distribution has become the defining advantage in AI, and how founders can think about product, research, and go-to-market in a rapidly evolving landscape. Jennifer also shares her perspective on creative tools, the role of AI in storytelling, and what the next phase of the ecosystem may look like. This episode originally aired on the GTMnow Podcast. Resources: Follow Jennifer Li on X: https://x.com/JenniferHli Listen to more episodes of the GTMnow Podcast: https://gtmnow.com/podcast/ Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
The Trump administration suddenly wants to review AI models before they ship. Anthropic just inked a massive compute deal with Elon Musk, who then posted that he "reserves the right" to pull the plug if he decides their AI is "harming humanity” (he's one to know!). On the latest FAFO Friday, Kwaku and I get into why the Trump administration appears to be about to reintroduce the same (weak) AI oversight that Biden implemented. Is this really about safety or a way to gain leverage over Big AI? Plus, robots! The founder of Roomba is back with a new, fuzzy, home companion robot and his approach (not humanoid! build robots with EQ!) is very aligned with this week's interview with roboticist/dancer Catie Cuan. LinksWhite House Considers Vetting A.I. Models Before They Are Released (NYTimes)How Anthropic's Mythos Threw the White House AI Strategy Into Chaos (WSJ)Anthropic Gets in Bed With SpaceX as the AI Race Turns Weird (WIRED)The Roomba Guy's Second Act: A Robot You'll Want to Snuggle (WSJ)Robots Don't Have to Be Creepy. Meet the Dancer Reimagining Them. | Catie Cuan (Founder & CEO, ART Lab) (FAFO)Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!
In Season 15 episode 2, Elixir Wizards Sundi Myint and Charles Suggs chat with Micah Cooper to talk about distributed systems, data replication, and what it actually looks like to build these ideas in Elixir. Micah shares his journey from Ruby to Elixir and walks us through Visor, a library he's building based on the Viewstamps replication algorithm. Inspired by systems like TigerBeetle, Visor explores how you can replicate state across nodes using GenServers, giving you fault tolerance and recovery without relying entirely on traditional database patterns. We talk about the difference between distributed systems and data replication, where things tend to get misunderstood, and what changes when you start thinking about state this way. The conversation also touches on event sourcing, tradeoffs in system design, and how Elixir's distributed model makes some of these concepts more approachable than you might expect. Along the way, we talk about building for curiosity, experimenting with new ideas, and how projects like this push the ecosystem forward. Topics discussed in this episode: Building Visor and working with the Viewstamps replication model Replicating GenServer state across nodes Distributed systems vs. data replication Lessons from TigerBeetle and financial system design Event sourcing challenges and tradeoffs Rethinking database-first architectures Snapshotting, recovery, and fault tolerance The role of Elixir's distributed model Experimentation, learning, and building for curiosity Links mentioned: Micah's GitHub https://github.com/mrmicahcooper Micah's GitLab https://gitlab.com/mrmicahcooper The Visor repository: https://gitlab.com/mrmicahcooper/visor Visor Hex Package https://hex.pm/packages/visor Ruby on Rails https://rubyonrails.org/ Phoenix LiveView Framework https://www.phoenixframework.org/ Zig Programming Language https://ziglang.org/ TigerBeetle https://tigerbeetle.com/ TigerBeetle internal docs https://github.com/tigerbeetle/tigerbeetle/tree/main/docs/internals The BEAM https://www.erlang-solutions.com/blog/the-beam-erlangs-virtual-machine/ GenServer https://hexdocs.pm/elixir/GenServer.html Apache Kafka https://github.com/apache/kafka RabbitMQ https://www.rabbitmq.com/ Redpanda https://www.redpanda.com/ SQL https://www.ibm.com/think/topics/structured-query-language Kubernetes https://kubernetes.io/ YAML https://yaml.org/ Nomad Workload Orchestrator https://developer.hashicorp.com/nomad Flutter https://flutter.dev/ Commanded https://hexdocs.pm/commanded/Commanded.html Go Programming Language https://go.dev/ Clojure Programming Language https://clojure.org/ Nebulex https://hexdocs.pm/nebulex/Nebulex.html Mnesia https://www.erlang.org/doc/apps/mnesia/mnesia.html Cachex https://hexdocs.pm/cachex/Cachex.html libgraph https://hexdocs.pm/libgraph/Graph.html Horde https://hexdocs.pm/horde/Horde.Registry.html NocFree split keyboard https://www.nocfree.com/ Micah's LinkedIn https://www.linkedin.com/in/micah-cooper-4a737560/
Catie Cuan's dad was in the hospital, surrounded by machines that were supposed to help him. Instead they made him feel alienated and afraid. Catie, a dancer-turned-roboticist, realized it's not enough for a machine to do its job — it has to be relatable, too. Today she's the founder and CEO of ART Lab, focused on what she calls the "interaction gap" between what a robot can do and how it makes us feel. Catie danced at the Metropolitan Opera Ballet and ran her own dance company before getting her PhD at Stanford and becoming an artist-in-residence at Google X, where she worked on the Everyday Robots moonshot — including teaching office robots that it's rude to cut between two people having a conversation. Now ART Lab is building a home robot that won't look anything like a robot, plus a new kind of AI model that conditions success on how the human in the room responds, not just whether the task got done. Listen for the case against humanoids, why the future of AI shouldn't live inside your phone, and a sneak peek at what our life with robots might look like.Chapters:(02:11) - “There will be billions of robots” – from dishwashers to elder care (04:45) - Why robots can be capable and still feel unsettling (08:00) - How robots could read your reactions and respond in real time (11:45) - What shape should robots take? (15:30) - The case against humanoids (19:00) - A nine foot robot hand and the wild future robot design could take (23:15) - What it's like to dance with robots (28:30) - “The robot just died” – when a live failure changed the whole performance (32:45) - Friendship loneliness and home robots (and why builders need to be clear about the future they are creating) (37:11) - Why the home may become robotics' biggest use case (and what ART Lab is building) (40:06) - Robot tutors, homework help, and why teachers still matter most (43:51) - “We have a tremendous amount of agency” – choosing the future we build now (46:16) - Why inequality and access worry Catie most (and who gets left behind) (48:56) - Why builders need to get outside their own bubble Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!
I don't think we pause enough to marvel at how freakin' weird AI is. Here's an actual instruction from OpenAI to its latest model: "Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant." Apparently goblins and mythical creatures crept in when OpenAI released its "nerdy" personality a few models back and the mythical creatures have just proliferated ever since. It's a bizarre example AI bias and, as it's relatively adorable, one that OpenAI was happy to write about. But what else is lurking?That's the jumping off point for Kwaku Aning and me (Dan Blumberg) on this latest FAFO Friday edition, which plays off of Tuesday's interview with responsible AI expert Rumman Chowdhury. Along the way, we discuss AI personalities, TV commercials, and brand strategies, how AI thinks you should shoot a three-pointer, what gets lost when humans no longer write the code, and why we need (?) whimsical garbage cans. Plus, we tie a few stories together: why a reckoning is coming for the all-you-can-eat-AI-token-buffet, as the "millennial lifestyle subsidy" for AI is ending, tokenmaxxing, the growing (and bipartisan!) data center backlash, and why Earth's (AI-powering) solar panels may soon run 24/7 thanks to light redirected from outer space. Links:Where the goblins came from (OpenAI blog post)My interview with responsible AI expert Dr. Rumman Chowdhury (Future Around & Find Out)GitHub Copilot is moving to usage-based billing (GitHub announcement)‘The Most Bipartisan Issue Since Beer': Opposition to Data Centers (NYTimes, gift link) Meta inks deal for solar power at night, beamed from space (TechCrunch)Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!
Rumman Chowdhury wants to remind you that “AI isn't doing anything.” We do things. AI is not to blame for layoffs or if you're denied medical coverage. People are. Eight years ago, Rumman coined the term “moral outsourcing” to describe this excuse where we blame tech for decisions that people make. Why do the semantics matter? Because, Rumman says:In world one where, “AI did X,” it's very scary. It's like, “oh my gosh, this thing that is bigger and smarter than me has come and descended and now it's gonna wipe out every job. “ [But if we center on people, then we have agency and accountability and we can say] “no, you built a thing that was broken and flawed.” Rumman is the founder and CEO of Human Intelligence PBC, which is building evaluation infrastructure to make Gen AI systems safe, trustworthy, and compliant. She also served as the U.S. Science Envoy for Artificial Intelligence under the Biden administration, led AI ethics teams at Twitter and Accenture, and is a Responsible AI Fellow at Harvard.In this conversation:Why "moral outsourcing" is the sneakiest trick in tech — and how execs use AI as a shield for decisions humans madeHow to avoid — or at least how to mitigate — creating AI that's biasedRed teaming AI and creating bias bountiesThe "grandma hack" and other ways regular people accidentally jailbreak AI modelsHow AI companies are quietly rewriting their terms of service to dodge liability when things go wrongWhy the benchmarks you see when a new model drops are "basically spelling tests"AI psychosis, parasocial chatbots, and the cold emails Rumman gets once a month from people who think AI is aliveWhat builders can do right now to take back agency — and why Rumman is more excited about agentic AI than anything that came beforeChapters:(00:00) - "The thing I believe in the most is human agency" (02:14) - Why builders have more agency than they realize (04:00) - What is a bias bounty? (06:41) - What 2,000 hackers at DEF CON found (09:40) - The grandma hack (11:30) - Why guardrails fall apart (14:54) - Anthropic's new bug-finding model and the cat-and-mouse game (19:10) - Why most evals are "basically spelling tests" (21:30) - How to actually evaluate an AI agent (27:16) - "Moral outsourcing" and the AI layoff lie (29:41) - Inside Rumman's tenure as U.S. AI Science Envoy (33:06) - The legal loophole AI companies use to dodge liability (36:31) - AI psychosis and the cold emails Rumman gets (39:36) - Why Google's AI overview is quietly dangerous (45:31) - The problem with "AI literacy" (49:01) - Can we trust anything we see anymore? (51:11) - What builders can do right now to take back agency Support Future Around & Find OutFollow Dan on LinkedInGet the free newsletterBecome a paid subscriber and help future proof FAFO!
We won the Webby Award for best tech podcast of 2026!!!I'm stunned! But Kwaku doesn't like it when I say stuff like that, because as he reminds me in this “FAFO Friday” edition, “sometimes good things happen to good people.” OK, I'll take it. We won! And now I need to prepare a five word speech to give. "FAFO Fridays Are My Favorite" comes to mind...But really, who could've predicted this? And also, are all predictions bunk? Kwaku just returned from a week at “Big TED” and he reports back that the talk everyone is talking about is “Beware the power of prediction” from philosopher and AI ethicist Carissa Véliz. What do the story of Oedipus and your insurance premiums have in common? They are both driven by self-fulfilling prophecies, according to Véliz and she warns us, on stage and in her new book, that we should we wary of false prophets — and of relying on AI-driven predictions. Some predictions are useful she says, e.g. weather forecasts are great because the weather doesn't care what you predict, but others become self-fulfilling prophecies: if an AI says someone is uninsurable and then you deny them insurance then yes, they are uninsurable, but were they before you (or your algorithm) said so? It all speaks to a powerlessness many of us feel. Speaking of which… Meta just rolled out employee surveillance that tracks keystrokes, mouse clicks, and periodic screenshots — to train AI on their employees' own jobs…. Someone threw a Molotov cocktail at Sam Altman's house… The anti-data-center backlash is getting physical. And (sorry) here's a prediction, if people don't start feeling like they have some agency, we're going to see more of this (especially in an election year). But as Kwaku puts it, we are the fuel. AI does nothing without us, so let's reclaim our agency, because…The Future Needs a Word. That's one of the five-word speech options we consider. I'm drawn to it, but not sold on it, so please share your own suggestions…---FutureAround.com is the home for Future Around & Find Out. Go there to subscribe to the newsletter and to contribute to the show. And, as always, please tell a friend about the show. That's how podcasts grow.
The panel digs into the Cloudflare vs Vercel turf war over Next.js, breaking down what it really means that one engineer vibe coded a full framework rewrite in a week for $1,100 using Claude Code. Then things get spicy: from the Lovable data breach to an early Anthropic model escaping its sandbox, the crew debates whether the wave of AI security incidents is systemic, and what the build vs buy collapse means for developers rolling their own tools in the AI agent era. Resources One Engineer, One AI, One Week: Cloudflare Just Rebuilt Next.js: https://bytesizedbets.com/p/one-engineer-one-ai-one-week-cloudflare Cloudflare's vibe-coded Next.js replacement starts a turf war: https://cybernews.com/security/hackers-find-critical-flaws-in-cloudflares-nextjs-alternative/ How we rebuilt Next.js with AI in one week: https://blog.cloudflare.com/vinext/ JavaScript survey reveals gripes against Next.js: https://www.devclass.com/development/2026/02/10/javascript-survey-reveals-gripes-against-date-handling-webpack-and-nextjs-and-that-typescript-has-won/4090262 Claude Code's source code appears to have leaked — here's what we know: https://venturebeat.com/technology/claude-codes-source-code-appears-to-have-leaked-heres-what-we-know Anthropic accidentally exposes Claude Code source code: https://www.theregister.com/2026/03/31/anthropic_claude_code_source_code/ Claude Mythos Preview (Anthropic Red Team blog): https://red.anthropic.com/2026/mythos-preview/ Claude Mythos Preview — BBC coverage: https://www.bbc.com/news/articles/crk1py1jgzko We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. Chapters 00:00 Introduction & Panelist Welcome 02:00 Cloudflare Rewrote Next.js for $1,100 — Does It Matter? 06:30 Vercel Lock-In, Open Next & the Adapter Debate 09:00 AI Security Incidents — Lovable, Anthropic Source Code Leak & More 12:30 Is the Security Crisis Systemic or a People Problem? 16:00 Rolling Your Own Stack With AI Is a Terrible Idea 18:30 Mythos, Zero-Day Bugs & Anthropic's Security Credibility 22:00 Is Anthropic's "Safety First" Framing Just Marketing? 26:00 Fleet Management, Agent Burnout & Brain Fry 28:30 Hot Take — Noel: Software Is Getting Worse and AI Is to Blame 32:30 Hot Take — Paul: The Second Internet & Claude Code's Future 36:30 Hot Take — Jack: The Highlander Reboot Is Going to Slap 37:30 Hot Take — Paige: Think Before You Grant OAuth Permissions 40:00 Wrapping UpSpecial Guest: Jack Herrington.
So what even is “real” software anyway? Someone builds an app over the weekend. It works. It looks good. And then the search begins — for the asterisk. Security? Design quality? Can it go to production? Paul Ford says we're in a new era: "I can't believe it's not software!" Paul is the co-founder of Aboard, where he helps organizations build custom software quickly, using AI tools. He's also one of my favorite tech writers. You may know him from "What Is Code," the opus he wrote for Bloomberg Businessweek a decade ago or from his writing in the New York Times, including his recent opinion piece, The A.I. Disruption We've Been Waiting for Has Arrived. Or perhaps you're hip to Ftrain, where he's been writing for longer than we've had the word “blog.” In this conversation, recorded at Aboard's podcast studio (Paul and his cofounder also host a great show), we dig into the strange new world where roles are colliding, software* gets built quickly, and no one is quite sure what to teach their kids.We get into:What Paul calls "the great search for the asterisk" — the moment someone demos an app and everyone scrambles to find the catchHow the power dynamic between engineers and everyone else is fundamentally shifting — and why that's both liberating and destabilizingWhy vibe coded prototypes are changing how agencies pitch and price their work — and why pricing is "very unresolved"The skills that actually matter now: client communication, systems thinking, and depth over velocityWhy "the environmental costs [of AI] have become essentially a truthful folk narrative to talk about how difficult and scary and painful it is to see your life get continually smashed into bits."What he's teaching his kids (hint: it's not to code)Chapters:(01:40) - “We're in a funny moment now” – catching up on the ten years since “What Is Code?” (05:30) - “ You gotta stop fighting” - AI code is genuinely useful, caveats and all (08:44) - AI enables people who could never afford custom software to have it (09:50) - Why he knew he'd get yelled at for his recent piece in the NYTimes (13:00) - “AI washing” and job cuts (14:50) - Paul's theory for why the market oscillates so wildly on AI news + are we going to vibe code our own DoorDash? (17:00) - What's the hardest thing about building with AI right now? (19:36) - Hiring, the most in-demand skills, and “forward-deployed engineers” (27:50) - “Product is still hard” – in response to: “What is something that AI will never be great at?” (31:36) - “What is something that sounds like science fiction, but that will soon be real — and commonplace?” (32:46) - Why Paul is excited about world models (and thinks LLM's are topping out) (36:06) - Why environmental concerns have become a “truthful folk narrative about how difficult and scary” AI is (39:26) - There is no magic solution for climate (but one positive thing AI can do is help digest climate data) (41:26) - Why kids should learn systems thinking Support Future Around & Find OutGet the free newsletterBecome a paid subscriber and help future proof this thing!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@futurearound.com
Hey everyone... so, in case you haven't heard... this show, Future Around & Find Out, has been nominated for a Webby for best tech podcast! *** VOTE HERE: https://vote.webbyawards.com/PublicVoting#/2026/podcasts/shows/technology ***I was kind of being chill about this. I am, admittedly, not my own best hype man, but then I got riled up when I heard the hosts of The Vergecast, one of the other nominees and last year's winner, complain that they weren't winning by enough votes and that they wanted to win by such a large margin that it -- quote -- hurts everyone's feelings. Well, those are my feelings Nilay Patel was talking about! Look, I like the Verge -- and I definitely didn't have them on my list of people I might feud with this years -- but f* those guys! Let's win this thing!So could you please vote? Today, April 16th is the last day to do so and we're currently just behind, in second place. The link to vote is in the show notes. You can also find it on the show's website at Future Around dot comAnd what is it you're voting for? Well, if you've been listening then you already know what this show is all about, but I also thought for newbies and even for long time listeners, it might be fun for you to hear exactly what the Webby judges listened to when they voted for FAFO to be a best tech podcast nominee. They ask for ten minutes of audio, so I made a highlight reel — and here it is.*** VOTE HERE: https://vote.webbyawards.com/PublicVoting#/2026/podcasts/shows/technology ***
We live in a world where every crisis lands in your pocket the moment it happens. The result? We're more informed than ever — and somehow less capable of doing anything about it.Inventor and investor Pablos Holman has a diagnosis: we're spreading ourselves across every problem, which means we're solving none of them. His prescription is uncomfortable — pick one thing, go all in, and cut the noise.***QUICK PLUG: Future Around & Find Out is nominated for a Webby for best tech podcast! Voting is open now for the People's Choice Award. Please vote before April 16th! https://vote.webbyawards.com/PublicVoting#/2026/podcasts/shows/technology***Pablos is the co-founder of Deep Futures, where he hunts for inventors tackling world-scale problems: energy, water, food, waste, transportation. Not apps. Atoms. And thanks to advances in AI and software, these "impossible" problems are more solvable than ever — if the right people show up to back them.In this conversation, recorded at the fabulous PopTech conference, he makes the case that inventors are the most important creative class on earth — and the most invisible. They're undersupported, uncelebrated, and working alone in garages. Some of them are probably going to blow themselves up. Those are exactly the people he's looking for.We get into:Why doomscrolling is literally eroding your ability to make a differenceThe difference between craft (optimization) and creation (zero-to-one) — and why AI is great at one and struggling with the otherWhy you can name 100 musicians but fewer than two living inventorsHow solving energy unlocks clean water, sanitation, and climate — essentially for freeWhy software people are uniquely positioned to work on the hardest problems in the world right nowChapters:(01:15) - Why the world isn't as broken as your newsfeed makes it seem (03:00) - The sticky note exercise: how to pick the one problem worth your time (04:30) - Inventors are the most important creative class nobody talks about (07:00) - Living inventors you should actually know (09:00) - What AI is good at — and what it still can't do (12:30) - Why software people are the right ones to tackle deep tech problems (22:56) - Energy is the root problem — solve it and you solve a lot else (25:56) - Climate change needs a thousand solutions, not one big fix (28:26) - The fashion industry's dirty secret and what robots can do about it Links & ResourcesPablos Holman on LinkedInDeep Future: VC firm, book, and podcastSupport Future Around & Find OutFAFO is nominated for a Webby for best tech podcast! Vote now! Get the free newsletterAnd consider becoming a paid subscriber and help future proof this thing!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@futurearound.com---Pablos's first appearance on the show covers his work at Blue Origin and Intellectual Ventures. Scroll in your podcast app to July 2025 to find that fun conversation. (Can listen before or after this one; not a prerequisite.)
Hey, great news! We've been nominated by the Webby Awards for best tech podcast! Voting is open now and we're in second place for the popular choice prize. Just behind The Verge. They really don't need this win, but it would really help this show grow. Would you please (ask a friend to) vote for Future Around & Find Out? *** VOTE FOR FAFO ***OK, here's this week's FAFO Friday… (we record on Fridays and the show has Friday/weekend vibes, so just go with it no matter what day of the week it is :) This week, Kwaku and I…Gape at the moon in wonderAsk why we sent humans on this mission when space robots could've done the job (related: why climb Mount Everest?) Marvel at Anthropic's new Mythos model, which they say is remarkably good at finding flaws in the world's critical software — or is this just another example of their marketing savvy? — or both!?Dig into AI world models and Jeff Bezos's (modestly named) Project PrometheusAsk whether we want robots in our houses (yes, but only if they're dumb)Keep FAFO weird (because in the age of AI that's how you prove you're human)*** VOTE FOR FAFO ***
Future Around & Find Out is a best technology podcast nominee! And with your help it could be a winner. The Webby Awards voting is open now. Please vote for FAFO! Thanks to AI, “content is about to become infinite.” And just like the Internet disrupted distribution, AI is disrupting creation. And so when anyone, anywhere can create content, what's left? What's defensible? That would be trust and humanity. Live from Podcast Movement Evolutions at SXSW, I sit down with Jim Louderback — former VidCon CEO, Inside the Creator Economy newsletter writer, and media veteran — to unpack what's actually changing and what builders and creators should do about it.We get into why the "age of perfection" is over, why founders need a meme instead of an elevator pitch, and why putting a creator on your cap table might be the smartest move a startup can make. Jim makes the case for a trust economy where views and likes are meaningless — and where the real question is how far your trust graph extends. We also talk digital twins (and what happens when yours goes rogue), why events are still the best way to prove you're human, the state of journalism and public media, and why 2004's “Subservient Chicken” was so ahead of its time. Chapters:(01:30) - How AI disrupts creation (03:50) - The number of creators is about to double to 500 million (06:45) - We'll have “certified human” labels, just like “organic” and why the Subservient Chicken was so far ahead of its time (08:40) - The age of perfection is over (10:00) - The only thing that matters is trust (12:00) - Events, FTW! (13:45) - The elements of a great event are timeless (18:11) - Favorite moments from SXSW (21:56) - What's your meme? > What's your elevator pitch? (23:28) - Put a creator on the cap table (27:21) - Creator-community fit (29:38) - The challenges of being a journalist today (32:26) - Create your own digital twin (36:26) - Why John Green's jaw dropped when he learned of Dan's grandma ---Future Around & Find OutVote for FAFO to be a Webby Awards winner!Get the newsletter Sponsor the show? Want to share your message with senior technologists? Email Dan: dan@futurearound.com
Very fun news… The Webby Awards have just nominated Future Around & Find Out as a nominee for Best Technology Podcast!!!And you can help make it a Popular Choice winner. Winning would be great for the growth of show. Thank you!Please vote for FAFO! ---OK, on to today's episode… it's another good vibes rooftop episode recorded at SXSW. For the second year in a row I'm joined by Rob Kenedi, a fellow podcaster, who is the founder and host of Decelerator. Last year he, very memorably, said we were in the “fart app era of AI”. Meaning: people are trying stuff (a la the make-a-fart-sound apps that people built in the early days of the iPhone). So, we revisit that comment and ask where are we now? And what's defensible for app makers — and for creators like us?Podcaster that he is, Rob turns the tables on me and asks me a bunch of questions about how I'm approaching this question and I shared what was top of mind when I rebranded the show recently from CRAFTED. to Future Around & Find Out. Namely, I wanted to give the show more personality, but that is how you stand out right now and that's what going to be defensible in the age of AI. And the Webby nomination — you already voted, right?? — only makes me feel more confident in the rebrand and the addition of more of these casual “FAFO Friday” episodes that feature a lot more of my (and regular guest Kwaku Aning's) personality. (You'll hear more about how AI is changing the creator economy and why “being human” is so important in a few days when my episode with Jim Louderback, writer of Inside the Creator Economy, comes out; he gives a great annual talk at SXSW and I had seen it the day before recording with Rob.)In the meantime, come join Rob and me for some good vibes from Austin… And (ask your friends to) vote: https://vote.webbyawards.com/PublicVoting#/2026/podcasts/shows/technology
Climate-tech founder Eben Bayer is on a mission to protect Spaceship Earth. And he says it's time for climate control, i.e. active measure that cool the Earth. Why? " Because all other reasonable approaches have failed miserably," he says, slapping the table for emphasis.Eben is the co-founder of Ecovative and MyForest Foods, the makers of MyBacon, which is sold in more than three thousand stores. It's a non-meat bacon, made from mycelium, which (more or less) means mushrooms roots. Fewer people eating meat —> fewer farting animals —> a cooler planet. And Eben's latest Earth-cooling idea is (nearly) out of this world. Eben wants to put giant parasols in the stratosphere where they could block sunlight from reaching Earth. With "shade-as-a-service" a maxed-out utility (say in Phoenix) could pay for shade to cool a city or an individual could pinpoint a shadow over their backyard for an afternoon barbecue.The idea is in its early stages, but Eben says it's feasible and it's the kind of big idea we need to get climate change under control. And while the idea of messing with the sun may sound scary, he says we alter the climate in all sorts of ways already: " We are geo-engineers. We farm animal livestock. We live on Planet Earth. We have impact. We emit CO2. We should not limit ourselves to modifying just one or two atmospheric gases to modify the planet. It's not how we operate, and it's an unbelievably constraining framing if you actually want to address this problem in a practical manner... When you start to take that frame, the options open way up."Eben is a fascinating guy — very steampunk in his approach to entrepreneurship — and I'm sure you'll find this interview eye-opening.And a special shout out to my field producer for this onsite recording from Troy, NY: my eleven-year old son, Julian! He was my camera and sound guy and he also makes his long-awaited (YouTube!) debut to ask Eben a question about protecting Spaceship Earth.
“Imagine a humanoid educator named “Plato”… Access to the classical studies is now instantaneous: literature, science, art, philosophy, mathematics, and history. Humanity's entire corpus of information is available in the comfort of your home.”— Melania Trump, FuturistAh, yes, I can't wait for my children to learn from an embodied AI. And that their access to everything be “instantaneous.” No struggle. No unreliable (fleshy) teachers. Just an embodied AI stuffed with the “entire corpus of information.” What an inspiring vision!Regular listeners to Future Around & Find Out will know that I'm a fan of robots (think: self-driving cars), but really don't understand why they need arms and legs (whether dog- or human-shaped). Well, as you may have seen our fever dream of AI with arms and legs reached the White House, with Melania and “Figure 3” competing to see which one could walk and talk more haltingly. (The robot was more engaging to listen to.) The robot was there, along with a patronizing display of first spouses from around the world, for a summit on education technology. So Kwaku and I use it as a jumping off point for this week's FAFO Friday (yes, delivered on a Saturday) this week. Kwaku, a tech consultant to many schools, and I discuss this insatiable need for humanoid robots, AI, and instant gratification. And, following up on my conversation earlier this week with Khan Academy's Chief Learning Officer, Kristin DiCerbo, we discuss what counts as a “productive struggle” and what's wasted effort when it comes to AI and learning. Please enjoy this very human conversation… full of totally unnecessary tangents, riffs, asides, non-sequiturs, and other detours that Plato, the humanoid teacher, would find inefficient and useless.
So what the heck should kids be studying today!?That's my opening question to Khan Academy's Chief Learning Officer, Kristen DiCerbo, a learning and AI expert who is back for her second appearance on the show. We discuss:Kristen's advice for what to study today: fundamentals, AI literacy, and critical thinkingHow helpful should AI be? Why the productive struggle is critical to learning, but also why we shouldn't "fetishize" struggleWhen should AI be Socratic — "and why do you think that?" — and when should it just give you the answer?The "5% problem" — why edtech that's proven to work still barely gets usedHow Khan Academy overhauled its classroom platform and evolved Khanmigo from a standalone chatbot into something woven into the whole learning experiencePersonalization that actually works How Khan Academy uses LLMs as judges to evaluate 20,000 student interactions a dayThe scenario planning report that imagines deepfakes of school principals and AI going underground in schoolsWhat parents should be asking their kids' schools about AI right nowWhat it looks like when a school implements AI well — and what it looks like when they don'tChapters:(01:44) - What the heck should kids be studying right now? (03:55) - Teaching critical thinking in the age of AI (06:37) - What successful schools are doing differently (08:37) - The real risk: not that kids use AI too much, but that they don't use it enough (10:52) - My 13-year-old has to check five apps just to find his homework (11:52) - "Beyond the AI inflection point" — three scenarios, none of them great (16:30) - Should we just make every school a trade school? (19:41) - What should parents be asking their kids' schools? (22:27) - Khan Academy's Winchester Mystery House problem (26:28) - Personalized learning — what works and what surprisingly doesn't (29:32) - Kids are bad at asking questions and that's actually the point (32:01) - "I DON'T KNOW" in all capital letters — the Socratic method's breaking point (34:26) - Should an AI tutor give tough love? (37:01) - Why Khanmigo is fundamentally different from ChatGPT (40:11) - Don't fetishize struggle — but your kid still needs it (42:39) - Khan Academy's productive struggle: building evals from scratch (45:41) - What gives Kristen optimism Support Future Around & Find OutFollow Dan on LinkedInGet the free Future Around & Find Out newsletterBecome a paid subscriber and help future proof the podcast!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@futurearound.com---Music by Jonathan Zalben
South By Southwest was strange this year. No convention center to anchor the event (it's a giant hole in the ground right now, being rebuilt from scratch, much like [insert your analogy here] will also need to be rebuilt in the age of AI). This South By was a all about convergence. How AI will impact [xyz] continues to be the dominant theme at the conference and in so much tech coverage (including on this podcast; sorry!). So, Kwaku and I report on the convergences we saw (and not only at Amy Webb's annual talk where “convergence” was her key word). This includes everything from:the RoboCup, a quest (a la Deep Blue winning at chess) for humanoid robots to be able to defeat a team of great humans at soccer pants that you wear (or do they wear you) that are kind of like an e-bike for your legsan AI-powered Cyrano de Bergerac that can help you whisper sweet nothings in your lover's earfalling in love with an AI (and their business model)and AI that can tell you whether to have another slice of brisket (yes, duh, you're in Austin!) So, come on along to Austin for what's become an annual tradition: Kwaku and my SXSW Rooftop Revue. This year recorded in fabulous 4K with a three camera setup that we didn't deserve! Big thanks to Podcast Movement Evolutions, Nomono, The Podcast Academy, and Simplecast!And stay tuned for a few more episodes from a wild week!Chapters:(00:25) - SXSW 2026: everything everywhere all at once (01:23) - Kwaku stumbles into a World Economic Forum session on convergence (05:54) - Reinforcement learning and robot soccer (09:07) - Amy Webb's three convergences: emotional outsourcing, unlimited labor, human augmentation (09:55) - Pants that are an e-bike for your legs (11:27) - The mental tax of running a fleet of AI agents (13:28) - Your boss wants you to pay for your own augmentation (16:07) - Esther Perel, Spike Jonze, and falling in love with Her business model (18:55) - An AI Cyrano de Bergerac to help you win your lover's heart (25:30) - IRL is the antidote! ---Future Around & Find OutGet the newsletter, support the show, check out past episodes: https://www.futurearound.com
AI Hustle: News on Open AI, ChatGPT, Midjourney, NVIDIA, Anthropic, Open Source LLMs
Jaeden & Jamie discuss Cursor's new agentic coding tool, Cursor Automations, which allows developers to automate code maintenance and task initiation for AI agents. They explore how these automated features can streamline workflows for complex projects and how similar functionalities are being implemented across various AI-powered tools.Our Skool Community: https://www.skool.com/aihustleGet the top 70+ AI Models for $20 at AI Box: https://aibox.aiWatch on YouTube: https://youtu.be/2xWao4gpaoEChapters00:00 Introduction to Cursor and AI Automation02:30 Cursor Automations Announcement and Industry Impact04:13 Developer Tools and No-Code Automation Trends05:28 Practical Use Cases for AI Automation in Business07:07 Challenges and Solutions in Automating Data Collection08:17 Future of Automated Tasks with ChatGPT and AI Agents10:14 Integrating Automation into Business Software
How do you build a system for turning wild ideas into world-changing innovations? Astro Teller, Captain of Moonshots at X, The Moonshot Factory, has spent over 15 years leading Google's audacious innovation lab—the birthplace of Waymo, Google Brain, and other breakthrough projects.In this special episode, recorded live in Austin at last year's SXSW, Astro shares the playbook to create a moonshot factory.(I'm at this year's SXSW right now and you'll hear all about it soon. If you are here, drop me a line and let's meet up!)What You'll Learn in This Episode:The “Train the Monkey First” approach to innovationWhy audacity, humility, and intellectual honesty are key to moonshotsHow your org can get more 10x (not +10%) outcomes — and how to avoid the “innovator's dilemma”Why you should “greenlight everything” and then redlight most projects quickly, following kill criteria you've agreed to in advanceWhere X is placing bets today, including climate-tech, modernizing the electric grid and bioengineering---Future Around & Find Out newsletter and podcast: https://www.futurearound.com
Web and Mobile App Development (Language Agnostic, and Based on Real-life experience!)
In this conversation, Krish Palaniappan, a product-focused technologist and podcast host, sits down with Jose Duarte (Founder of DockPops) to explore how AI-assisted development is reshaping software creation. Jose, who leads performance marketing at Pangea Money Transfer, brings a unique perspective as a non-traditional engineer who built internal tools using AI without formal coding expertise. Together, they unpack the technical workflows, architectural decisions, and mindset shifts required to move from manual processes to scalable, API-driven systems in today's AI-first development landscape.
!function(){try{var d=document.documentElement,c=d.classList;c.remove('light','dark');var e=localStorage.getItem('theme');if('system'===e||(!e&&true)){var t='(prefers-color-scheme: dark)',m=window.matchMedia(t);if(m.media!==t||m.matches){d.style.colorScheme = 'dark';c.add('dark')}else{d.style.colorScheme = 'light';c.add('light')}}else if(e){c.add(e|| '')}if(e==='light'||e==='dark')d.style.colorScheme=e}catch(e){}}()!function(){try{const t=localStorage.getItem("oai/apps/chatTheme/user-o92mEGCImh6FJHZE0l1Byw8L");document.documentElement.dataset.chatTheme="string"==typeof t?JSON.parse(t):void 0}catch(e){}}();Skip to contentJSChat historyNew chat⇧⌘OSearch chats⌘KImagesAppsDeep researchCodexProjectsYour chatsATP Weekly Indian Wells ReviewWTA Miami Open PreviewAlex Eala Indian Wells LossSEO Description for VideoHijikata Stuns BublikSEO Description for NorrieAlex Eala Indian Wells WinTsitsipas Career CrossroadsIndian Wells Tjen LossSpice tolerance comparisonWTA Weekly Indian Wells PreviewIndian Wells Preview 2026Indian Wells Draw ReactionBucsa Wins First WTA TitleLuciano Darderi ATP WinWTA Austin Final BreakdownATP Weekly Indian Wells PreviewTennis News and PreviewsTikTok Description TennisExample chat: Ask anythingJSJohn SilkFreeUpgradeGet PlusChatGPTGet PlusShareYou said:Podcast description for: ATP Weekly: Indian Wells review | Where are we at with the Sinner-Alcaraz rivalry? Is Medvedev back? Tien or Fonseca: How do they compare? How good was Draper-Djokovic?ChatGPT said:WritingIn this week's episode of ATP Weekly, we break down everything from Indian Wells and what it tells us about the current state of the men's tour.We start with a full Indian Wells review—the standout performances, surprises, and what the tournament revealed about the ATP landscape. Then we dive into the evolving Sinner–Alcaraz rivalry: where does it stand right now, and is it shaping up to define this era of men's tennis?We also discuss Daniil Medvedev's form and whether his recent level signals a true return to his best tennis. On the rising-stars front, we compare two of the most exciting young prospects on tour: Learner Tien and João Fonseca—how their games differ, their ceilings, and who might break through first.Finally, we analyze one of the most compelling matches of the tournament: Jack Draper vs. Novak Djokovic. How high was the level? What did it show about Draper's potential—and about Djokovic's current position in the field?All that and more on this week's episode of ATP Weekly.Is this conversation helpful so far?
Greetings from SXSW, where I'm learning, recording, and eating... You'll hear all about it soon... For now, enjoy this short, sweet, and geeky bonus episode.Have you seen that weird graph about all the jobs that AI is going to kill? It looks like an ink blot or a Rorschach test... It's from an Anthropic report and it's really making the rounds. If you follow tech stuff on social media you've probably seen it. The report is interested, but I'm convinced people are only sharing it because the graph looks cool and people will think they're smart if they share this inscrutable data visualization... Anyway, here's a very short excerpt of my upcoming interview with Paul Ford (@ftrain), one of my favorite tech writers and the founder of Aboard. He and I took a break from talking AI and such to geek out on this data visualization and why it's so bad, plus I told him about how I used AI to make my own version of a radar graph (about how many, and which kinds of, tacos I will and could theoretically eat in Austin). ---Subscribe to the Future Around & Find Out newsletter!
So why is one of the world's leading AI researchers teaching AI to understand pain and suffering? Well, Daniel Hulme says that if we build an empathetic AI, perhaps even a conscious one, then we'll be safer. His hypothesis is that a "zombie" AI will eat our brains, but an empathetic AI would stay aligned with us. So he's building this "antivirus" (with AI, of course) and he's very aware that this sounds crazy or like "something from Marvel."That's just some of what broke my brain in this conversation with one of the world's top AI researchers and founders. And Daniel has serious credibility, so I'm not dismissing the threat he sees — you know, the one where we all get turned into paperclips. Daniel sold his company Satalia to WPP, where he now serves as Chief AI Officer. He's just founded Conscium, which verifies that AI agents are safe and can do what they promise — and is also researching consciousness and pain. Some of the world's leading AI thinkers are on the advisory board and Daniel has been in this space for decades: we'll talk about why, for his PhD, he studied bumblebee brains (yes, really — and it's deeply relevant). We get into: His unified theory of consciousness — his "color wheel" model — and why he thinks consciousness only exists in motion Why he believes large language models are ultimately a dead end — and what neuromorphic computing could replace them with What bumblebee brains can teach us about building AI that's up to a thousand times more energy efficient Why he calls today's AI agents "intoxicated graduates" — and says companies should spend 80% of their time testing them The concept of "mind crime" — the idea that we could build conscious AI and accidentally put it through horrendous suffering without realizing it His vision of a "protopia" — where AI makes food, healthcare, education, and energy so abundant that people are freed from economic constraints to pursue what actually mattersWe future around and find out a lot in this one! ---Chapters(01:39) - "Would a conscious superintelligence be safer than a zombie one?" (03:37) - The paperclip problem is not hypothetical (05:06) - Conscium's mission — AI safety for humans and for AI themselves (08:50) - "I think I've got my head around consciousness" (11:57) - The color wheel model — why consciousness only exists in motion (13:58) - Teaching AI morals through evolution, not guardrails (17:23) - "Hey Claude, are you conscious?" — how do you test for that? (21:07) - What bumblebee brains can teach us about building better AI (24:14) - "I think we are completely scaling wrong" (29:43) - Why Daniel calls AI agents "intoxicated graduates" (32:48) - Companies should spend 80% of their time testing agents (38:19) - "What would you do if you were economically free?" ---LinksConsciumDaniel Hulme on Wikipedia Daniel on LinkedIn---
So how do Kwaku's kids know that it's FAFO Friday? "They're like, 'oh, we know you're doing the podcast 'cause we just hear you cackling through the walls.'"So laugh along with Kwaku and me today as we work our way through a quick victory lap (stuff we said would happen last week happened!), why Sam is like that desperate guy at the bar who refuses to go home alone, quantum computing explained via children's literature, why the Jetsons are not reason enough for us to build humanoid robots, robot choreography (are we human or are we dancers?), wen self-driving cars in NY?, riding a wave of green lights up Manhattan's third avenue at 2 AM, artificial wombs and other moonshot off-shoots, and the real origin of Velcro (AI lied to me about it).Plus... goat ranches, breakfast tacos, and what we're most excited about heading into SXSW. It's a choose your own adventure kind of day.Chapters(01:24) - Victory Lap — We Called It (03:35) - OpenAI's Bar Guy Energy (06:38) - Waymo, Robot Choreography, and Green Light Waves (10:16) - Self-Driving Cars vs. New York Politicians (13:13) - What We're Most Excited About at SXSW (15:41) - Quantum Computing: Choose Your Own Adventure Edition (18:01) - Dire Wolves, Moonshots, and Tech Nobody Sees Coming (24:07) - Why Do Robots Need to Look Like Us? (29:22) - The SXSW Way-Back Machine (36:08) - Increased Regulation: Past, Present, or Future? Support Future Around & Find OutFollow Dan on LinkedInGet the free Future Around & Find Out newsletterBecome a paid subscriber and help future proof the podcast!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com---Music by Jonathan Zalben
So, there are dire wolves living on Earth again. They were “de-extincted” by Colossal Biosciences. And today on the show their Chief Science Officer joins me to share her view on why the de-extinction matters — not as a science project, but because it will help solve problems that threaten every species on earth, including us. Beth Shapiro is the Chief Science Officer at Colossal Biosciences, and she helped to bring back the dire wolf or, as others call it, a gray wolf with 20 genetic edits. There is a fierce debate about what de-extinction even means, and we discuss that, but whatever you call them, there are now three big wolves living in an undisclosed location and they wouldn't be there if not for the DNA that Beth and her team edited. Colossal is also working to bring back the wooly mammoth, the Tasmanian tiger, the dodo and other animals that have long been extinct. Why? Listen to find out… Chapters:(01:19) - The Most Oprah Question Beth's Ever Been Asked (03:04) - Moonshots Require You to Create a Giant List of Problems (04:19) - The Things We'll Solve Along the Way, a la the Original Moonshot… to the Moon (05:57) - Beth's Journey: From Broadcast Journalism to Ancient DNA (09:13) - How a Sediment Core Solved a Mammoth Mystery (11:36) - Why Charismatic Animals Matter (a.k.a. Why Riz Is Everything) (12:38) - What's Up With Romulus, Remus, and Khaleesi? (14:19) - But Are They Really “Dire Wolves”? The Controversy Over 20 Genetic Edits (21:45) - Should We Do This? Beth's Ethics Framework for Builders (23:51) - Advice for Moonshot Builders (25:10) - Why We Want Dodos, Mammoths, and Thylacines Back Links & Resources:Colossal BiosciencesBeth ShapiroPopTech -- a conference I love! Support Future Around & Find OutFollow Dan on LinkedInGet the free Future Around & Find Out newsletterBecome a paid subscriber and help future proof the podcast!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com---Music by Jonathan Zalben
Murderbots, mass layoffs, and media takeovers — all in one news cycle. Anthropic told the Pentagon "we will not accede." Block cut half its workforce overnight. And the Paramount-Warner Brothers deal raises real questions about who's running the media now.Also, thanks to Nicolás Maduro's fashion sense, Dan's 13-year-old is being called Lil Tator at school and honestly? The kids are all right. Happy FAFO Friday!Here's some of what Kwaku Aning and I get into:(00:00) - Three Stories Broke Last Night (03:16) - Anthropic Tells the Pentagon No (06:24) - Murder Bots, But Human in the Loop (07:00) - The Pentagon's Friday Deadline (09:28) - Why This Is a Huge Win for Anthropic (10:50) - The War for AI Talent (12:57) - Is the Administration Losing Steam? (15:05) - The Paramount-Warner Brothers Deal (17:36) - Who Controls the Media Now? (21:13) - CNN, Independent Media, and the Employee Perspective (23:55) - Block Lays Off 4,000 People (24:14) - The Citrini Research Fiction That Tanked Stocks (27:49) - AI Washing and the Real Reason for Layoffs (30:11) - Will Vibe Coding Replace Real Companies? (33:27) - Mid-Roll Break (34:41) - Past, Present, Future: State-Controlled AI (35:18) - Past, Present, Future: Independent Media (38:03) - — SLAPP Lawsuits and Creator Protections (40:23) - — Past, Present, Future: Knicks Championship (41:44) - — Come See Us at South by Southwest!
In this episode of the Ardan Labs Podcast, Ale Kennedy talks with Jens Neuse, CEO and co-founder of WunderGraph, about his unconventional path into technology and entrepreneurship. After a life-altering accident ended his carpentry career, Jens taught himself to code during recovery and eventually built WunderGraph to solve modern API challenges.Jens shares the evolution of WunderGraph from an early-stage startup to a successful open-source platform, including pivotal moments like securing eBay as a customer. The conversation highlights the importance of resilience, community-driven development, and balancing startup life with family, offering insight into what it takes to build meaningful technology through adversity and persistence.00:00 Introduction and Current Life07:19 Dropping Out and Carpentry Career10:52 Life-Altering Accident and Recovery18:01 Learning to Walk and Finding Direction27:46 Discovering Coding and Technology31:17 Starting the Startup Journey33:07 Discovering the Power of APIs40:50 Building a Team and Leadership Growth48:17 Founding WunderGraph59:07 Pivoting to Open Source01:05:32 eBay Breakthrough and Validation01:10:08 Balancing Family and Startup LifeConnect with Jens: LinkedIn: https://www.linkedin.com/in/jens-neuseMentioned in this Episode:Wundergraph: https://wundergraph.comWant more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs
Of all the industries AI will transform, Kira Radinsky believes chemistry and biology will change the most. Kira is the co-founder and CTO of Diagnostic Robotics, which uses AI to automate the administrative work that's crushing healthcare teams — so clinicians can actually focus on patients. She's also the co-founder of Mana.bio, where they're accelerating drug discovery by orders of magnitude.She'll tell you she's terrible in the lab. Not because she isn't brilliant, but because she can't pipette without killing the cells. So she's thrilled that thanks to her skills in data and AI she was able to realize her childhood dream of being a scientist: “I'm not trying to automate everything… Like when, when you say automate drug discovery, I'm not gonna discover everything. I just want to accelerate it, which comes back to my childhood dream: I just didn't want to do it myself. I just want AI to replace me as a scientist. That's it.”But this episode is about more than healthcare. It's about how to build systems that get smarter over time — feedback loops, causal inference, incentivizing algorithms to take risks, and knowing when to optimize for ROI instead of accuracy. Lessons that apply whether you're building in biotech or not.We cover:How growing up Jewish in Soviet Ukraine — and fleeing to Israel just before the Gulf War — shaped Kira's obsession with predicting the futureHow she built a system that successfully predicted real-world events, including Cuba's first cholera outbreak in Cuba in 130 yearsHow Mana.bio is using AI to build "rocketships" that deliver drugs to the right cells — and how they've done in three months what used to take 20 yearsWhy predictions are only valuable if there's something you can do about them — and why that makes healthcare an ideal field for AI How to incentivize algorithms to make bolder predictions (it's easy to predict there won't be an earthquake today; it's much harder to say there will be)Why causal inference is the most underrated tool in machine learning right nowHow healthcare AI can perpetuate racial bias — and what builders need to do differentlyNote: this interview originally aired in October 2024. Chapters:(01:44) - Why predictions are so important to Kira: lessons from fleeing Soviet-era Kyiv (05:10) - Building a prediction engine from 150 years of news (08:35) - How Kira predicted the Cuba cholera outbreak (09:50) - Returning to biology by way of data (12:50) - Predicting healthcare outcomes by finding your patient's twin (17:53) - The racial bias hiding in healthcare AI (19:15) - Building Mana.bio and accelerating drug discovery (24:33) - "In three months, what did what used to take 20 years" (31:44) - Builder tips: ROI, causal inference, and teaching algorithms to explore (35:07) - Planning: Where generative AI needs improve Links & Resources:Kira Radinsky on LinkedInDiagnostic RoboticsMana.bioSupport Future Around & Find OutGet the free newsletterAnd consider becoming a paid subscriber and help future proof this thing!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com---Music by Jonathan Zalben
You probably know by now that AI is the definition of mediocre. As in: it's the average of everything it's been trained on. So how do you get beyond average? How do you build a moat? It certainly doesn't seem to be via the models. While there are models of the month (hey, Opus 4.6, my new friend!), they seem to be pretty swappable. So, the model ain't it. But proprietary data (e.g. an AI that knows you really well), yes! Or doing something really hard in the real world (think: Waymo self-driving cars). Maybe via trust and safety (Anthropic is certainly making a play here). Or... how about via amazing design and good taste. Remember when ChatGPT first came out and everyone derided “AI wrappers”… well, maybe a wrapper isn't so bad, assuming you can differentiate on one or more of the above. Luke Des Cotes is the CEO of MetaLab, the agency famous for designing interfaces, including early versions of Slack and Coinbase, so don't be shocked when you hear him say that great design can be your moat. MetaLab is working with a host of AI companies (another shocker), including Windsurf (AI + code), Suno (AI + music), Pika (AI + video), and more…, which is why Luke's take on AI surprised me. He's not rah rah. He's pretty judicious actually. Luke has questions about AI's costs and appropriateness for lots of use cases like those involving kids, but mostly he objects to its mediocrity.On this episode we discuss what it takes to go beyond.We also get into:Why vibe-coded software isn't changing the world anytime soonWhy Shopify acquired a design agency right after telling employees to justify their existence against AIHow MetaLab designers are using AI to prototype in hours instead of weeksThe talent market for zero-to-one designers — and why they're harder to find than everLandlines, brick phones, and how parents are fighting back against always-on kidsChapters(01:10) - "It's a race to the mean" (03:10) - "How do you create emotional resonance?" (05:33) - AI companies are burning money (08:44) - Speed to good enough (13:51) - Is the chat here to stay or a temporary fad? (17:43) - It's hard to find great 0 to 1 design talent (22:28) - Seemingly conscious AI (25:05) - Kids, landlines, and fighting always-on culture (27:21) - Sounds like science fiction, but is here now… Links & ResourcesLuke Des Cotes on LinkedInMetaLabSupport Future Around & Find OutGet the free newsletterAnd consider becoming a paid subscriber and help future proof this thing!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com
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