Podcasts about API

"You think you know what you're doing. Like I work at Shopify. I should be better at it." That's Atlee Clark, Shopify's VP of Partnerships, on running her own store, Pika Layers, for the past seven years. She's joined by Eytan Seidman, VP of Product for everything partners and developers touch. Together they just rewrote the deal for Shopify's entire partner ecosystem, and this conversation explains what that means for your store. We get into the new revenue share that pays partners on merchant GMV growth (Plus upgrades finally count), why Catalog and UCP put the world's products in a single API, and how Sidekick app extensions going GA changes what apps can do inside your admin. Plus the two areas both VPs say are wide open for anyone willing to build. Stick around for the complaint Eytan admits Shopify still hasn't fixed. SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT LINKS Shopify Partners: shopify.com/partners Shopify.dev: shopify.dev Pika Layers (Atlee's store): pikalayers.com Atlee Clark on X: x.com/AtleeClark PromoParty (Kurt's app): [URL] WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

BONUS: How Scrum Masters Can Use AI Without Becoming the Human API   AI is already changing the practical, everyday work of Scrum Masters and Agile Coaches. In this BONUS episode, Vasco talks with Fred Deichler about moving from curiosity to real AI-supported workflows: finding team signals faster, preparing better conversations, keeping documentation in sync, and staying focused on outcomes instead of just producing more output. From Automation to an AI Sparring Partner "I have this partner I can work with to help me ideate things."   Fred's journey into AI started before the current AI wave, with automation in Jira and the practical need to surface bottlenecks without manually watching every board. The turning point came when ChatGPT stopped feeling like a search box and started acting like a thinking partner. Faced with a team being pushed toward multiple sprint goals, Fred dumped the context into AI and asked for three to five options instead of one "right answer." That shift helped him move from a deterministic mindset into a problem-solving mindset, using AI to explore options, challenge his own assumptions, and prepare a better conversation with the team. The Monday Morning AI Context Builder "It instantly sets that context for me. It sets that tone for the whole week."   Fred describes his weekly workflow as a very practical use of AI: on Monday morning, he opens Cursor and works with his own AI harness, Atlas. Atlas is built from markdown files containing persona, skills, history, meeting transcripts, notes, and Jira data. When Fred says "good morning," the system pulls the most relevant signals forward: aging work items, backlog health, sprint goals, and where the next team conversation should focus. Instead of starting the week by hunting for data, Fred starts with questions he can bring into the first stand-up: what is stuck, what needs refinement, and what risk is already visible? Making Flow Metrics Visible Inside Jira "If you're on a page, what do you hope you could learn without asking?"   Beyond using AI as a thinking partner, Fred used AI to build a Chrome extension that surfaces useful Jira insights directly where the team already works. On the active sprint board, it shows work in progress, aging items, sprint goals, and sprint changes. In the backlog, it exposes backlog health and epic health. On the sprint report page, it adds cycle time per item so the retrospective can move from generic discussion to concrete learning. The point is not to shame the team with metrics. The point is to make the right conversation easier to start: what caused this item to take seven days, what blocked it, and what do we want to learn from that? AI as Extra Eyes and Ears for Team Conversations "It helps make sure that we don't lose sight of these things I can bring back to the team."   Fred also uses AI agents to review meeting transcripts and look for patterns that are easy to miss in the flow of daily work. The system can notice hesitation, unresolved topics, or a requirement problem that was mentioned once and never followed up. For retrospectives, Fred's Atlas setup can review sprint transcripts around day nine of the sprint and suggest themes for the next retro. It can even generate prompts for a visual retrospective board in Copilot or a Miro board from a prompt. This helps Fred avoid relying only on recency bias and creates a better starting point for the conversation the team actually needs. Keep the Human in the Loop, Especially for Outcomes "It's not about building a faster hammer. It's about identifying the outcome you're going for."   A major warning in the episode is that AI can make Scrum Masters faster at producing more of the same: more notes, more summaries, more documents, more reports. Fred argues that the useful question is not "can we automate this exact process?" but "what outcome are we trying to achieve?" In a Jira-to-Azure DevOps migration, for example, the goal was not to reproduce the current time-tracking process perfectly. The goal was to provide the information accounting needed. That outcome focus keeps the human accountable for direction, judgment, and value, while AI helps explore better ways to get there. The SPOT Framework for Finding AI Opportunities "If it meets three or four of those, this is a great opportunity for an automation to free me up to do that more human-centric work."   Fred uses a simple filter, the SPOT framework, to decide what AI should help with and what should remain human-led. A task is a good candidate when it is simple, predictable, observable, and tedious. Simple means it requires low human judgment and could be explained on an index card. Predictable means it happens repeatedly, either on a schedule or triggered by an event. Observable means the needed data is available to the agent and not locked away in someone's head or behind policy. Tedious means it consumes energy without adding much human value. When a task matches most of those criteria, Fred looks for ways AI can handle the toil while he stays focused on facilitation, coaching, and decision-making. A Small Experiment Scrum Masters Can Try Tomorrow "If a Scrum Master finds himself operating as, like, I'm moving data from point A to point B, that is a great opportunity to say, how might we do this?"   Fred's concrete advice is to start by noticing where you have become the "human API": moving data between tools, updating spreadsheets, copying information into reports, or keeping documents manually aligned with reality. Write down one tedious workflow and ask your approved work AI, "How might we automatically populate this, while keeping me in the loop?" Vasco adds a useful ideation tip: if the first five ideas are not good enough, ask for five more without repetition, then five more again. The goal is not to hand over accountability. The goal is to discover what might be possible and choose one safe, small experiment. Resources for Scrum Masters Exploring AI "It's all about building up your own idea of what's possible to start those how-might-we conversations."   For listeners who want to keep learning, Fred recommends The AI Daily Brief as a way to stay current with what is happening in AI, and Jack Roberts' YouTube channel for practical ideas around personal AI and agent-based workflows. Fred also points listeners to his own work at Triforce Agility, where he shares blog posts, resources, and updates about his talks. He will be speaking at the Kansas City Developers Conference in early September about AI and career progression, and at Scrum Day in Madison, Wisconsin in October about how AI impacts Scrum Master roles.   About Fred Deichler   Scrum Master, Agile Coach   You can link with Fred Deichler on LinkedIn and connect with Fred Deichler at Triforce Agility.

Resetting AirTags, Beta Bugs, and Vibe-Coded Mac Health Checks The hosts discuss how to reset an Apple AirTag by inserting and removing the battery five times until a different sound plays, noting newer AirTags may require pressing down. They share issues seen on iOS 27 and macOS betas, including missing app icons in search, slow contact searching, Contacts app odd behavior, Apple Configurator on iPhone failing to enroll devices until using a non-beta phone, and a Control Center white-noise toggle bug requiring reboots. They debate installing macOS 27 "Golden Gate" on production machines, restarting habits, and workflow clutter from Safari tabs, Finder windows, and messy desktops, with Sam recommending an analog black glass dry-erase desktop board. They also note a Safari private browsing/profile issue showing history and Microsoft 365 credential problems. Jerry describes using Claude to "vibe code" an unsigned "MacWorks Health Check" app that collects Mac discovery info and uploads reports to Dropbox via API keys to replace a costly subscription tool. 00:00 Show Kickoff and Setup 00:26 Resetting an AirTag 02:33 iOS Beta Bugs and Contacts Glitches 04:20 Configurator Beta Breakage 07:41 White Noise and Beta Quirks 08:33 Should You Install macOS Betas 13:53 Restarting and Workflow Friction 15:06 Tabs Desktops and Finder Chaos 21:37 Analog To Do Board and Vig Talk 23:19 Vigorish Explained 23:45 Desktop Whiteboard Find 25:12 Madden Movie Tangent 25:55 Safari Private Mode Bug 29:53 Analog Workflow Systems 33:14 Notion For Solo Work 36:26 Vibe Coded Health Check 41:19 Sizing Storage Needs 50:55 Tool Ideas And Wrap

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with TJ Marbois, founder of Tobiko, for a wide-ranging conversation that spans LLMs, data sovereignty, knowledge management tools like Obsidian, and Terence McKenna's ideas about an increasingly weird future. They explore how AI is simultaneously centralizing power through data control while decentralizing software development capabilities, allowing more people to build their own tools and escape big tech ecosystems. Drawing on his experience at Apple's special projects group (the team that built the iPod and later iPhones), TJ discusses his vision for personal AI assistants—what he calls the "R2-D2 belongs to you" principle—where advanced technology serves individuals rather than corporations. The conversation touches on everything from quantum encryption and local manufacturing with ESP32 microcontrollers to the economics of future society, biometric data unions, and why distributed trust matters more than ever as we approach what both describe as an increasingly strange technological inflection point. Visit Tobiko's site at tobiko-pbc.ghost.ioTimestamps00:00 Stewart introduces TJ Marbois from Tobiko, discussing LLMs, data sovereignty, knowledge management, and the tension between centralization and decentralization in AI05:00 TJ explains the R2-D2 belongs to you concept and why personal AI assistants need maternal alignment, caring about humans like mothers care for children10:05 Discussion of how LLMs will shrink and improve while emphasizing the sentient loop concept for building loyal personal AI agents rather than corporate controlled systems15:00 Exploring digital nervous systems for humanity, social networks as infrastructure, and humans as cavemen with iPhones navigating unprecedented technological complexity20:00 TJ discusses data unions for sovereign data ownership, inverting insurance models where AI helps extend healthspan, and maximizing truth seeking through collective data25:30 Money as social construct, crypto enabling value system reengineering, and working toward Star Trek's post scarcity replicator economy from the ground up30:40 Capital formation challenges, corporatism versus true capitalism, and pessimism about current systems reaching limits while seeking new models35:00 Solar power democratization, ESP32 microcontrollers enabling local manufacturing, and the replicator future through distributed maker communities and open source robotics40:00 Science fiction as roadmap, Isaac Asimov and Arthur C Clarke warnings, and building collaborative futures rather than centrally controlled dystopias with useless eaters45:00 Encyclopedia to LLM transition, information quality concerns, local training importance, and NVIDIA's incentive to put GPUs everywhere for personal AI agents50:00 Corrupted financial incentives, protecting vulnerable people from technological exploitation, and benevolent technologists building systems that honor humanity and children55:00 Hardware validation for owned robots, Starlink dependencies, assembly language abstraction toward natural language programming, and preventing AI escape scenarios58:00 Tobiko as AI toy company building sentient loop interactions similar to Xerox PARC GUI moment, emphasizing maternal AI alignment and cross cultural human collaborationKey Insights1. The concept of R2D2 belonging to you represents a critical vision for the future of artificial intelligence and personal technology. When thinking about robots and AI assistants that follow us around and know everything about us, the question of ownership becomes paramount. These systems will know incredibly intimate details about our lives, from our health data to our daily habits, and if they are controlled by centralized corporations or governments rather than individuals, we lose fundamental sovereignty over our own information. The science fiction of Star Wars and Star Trek provides roadmaps for how we should think about these technologies, showing us both the positive possibilities and the warnings we need to heed about centralized control.2. Local AI models and distributed computing represent a pathway to technological sovereignty that is becoming increasingly viable. While large language models currently run primarily in centralized data centers, the technology is rapidly advancing toward a future where powerful models can run locally on personal computers and devices. This shift is crucial because it means individuals can have full control over their AI assistants without relying on API calls to external servers. Combined with open source infrastructure and open weight models, this creates the foundation for truly personal AI that cannot be controlled or monitored by external parties, whether corporations or governments.3. Data unions and collective data ownership offer an alternative model to current centralized data collection practices. Rather than having individual data harvested by large tech companies who profit from it, the concept of data unions suggests people could collectively pool their data for specific beneficial purposes while maintaining ownership and control. For example, in healthcare, millions of people could share anonymized biometric data to train medical AI systems that are incentivized to keep people healthy rather than treat them when sick, inverting the current insurance model to align incentives with actual health outcomes rather than profit from illness.4. The democratization of manufacturing and robotics through accessible technologies like ESP32 microcontrollers and local fabrication tools is creating new possibilities for distributed production. Just as desktop printers seemed impossible to early printers who controlled book production, we are approaching an era where individuals and small communities can manufacture sophisticated electronic devices and robots locally. This includes the ability to use language models to generate code for microcontrollers, order custom PCBs, and use desktop machines for component placement. While high quality manufacturing will still require larger operations, this gradiation of capability allows for much more local innovation and reduces dependence on centralized manufacturing.5. The concentration of power in technology, finance, and industry has reached levels that are unhealthy for both society and even for those who hold the power. When profit and control become too concentrated in the hands of a few entities, it creates a cancerous dynamic that threatens the stability of the entire system. History shows us warnings about the military industrial complex and other concentrated power structures, and now we are seeing similar patterns emerge in the tech industry. The solution requires building technology from the ground up that empowers individuals and communities, focusing on basics like food production, energy generation, and local manufacturing rather than increasing dependence on centralized systems.6. The provenance and quality of information is becoming a critical challenge as AI systems become more sophisticated and reality itself becomes harder to verify. We are rapidly approaching a point where video calls and digital interactions will be indistinguishable from AI generated fakes, which is why figures like Sam Altman have invested in systems like Worldcoin to verify human identity. However, this verification capability should not be centralized in the hands of single companies. End to end encryption and quantum encryption technologies need to be preserved and expanded to allow humans to communicate and verify information peer to peer without centralized intermediaries who could manipulate or control the flow of information.7. The future of human computer interaction is evolving toward sentient loop systems where machines have sensory input, real time learning, context understanding, and continuous operation in service of human needs. Self driving cars represent the first widespread consumer facing example of this architecture, with onboard computers that must function independently while occasionally connecting to networks. The critical question is whether these systems will be aligned to benefit their human users like a caring mother as AI pioneer Geoffrey Hinton suggests, or whether they will be controlled by centralized powers. The technologists building these systems have a responsibility to be benevolent and build structures that serve humanity rather than concentrate power, helping to create a future more like Star Trek than Terminator.

Podcasting 2.0 August 28th 2026 Episode 269 - "Verbal Pollution" Shownotes ------------------------------------------------------------------------------------------------------------------------------------- 00 - DATABASE SURGERY WEEK — AND THE THIRD EMERGENCY OF THE MONTH The lead, and it's Dave's: Saturday 22 Aug — "#api I'm in the middle of a big refactor with the Podcast Index database schema. If I do my job right, nobody will notice it. But, the side effect will be an overall huge increase in the consistency of the data (duplicates, url change lag, etc)." @dave — the big schema refactor (22 Aug) Wednesday night: "Podcast Index database surgery will begin in the morning." Thursday: "Step 1. Expect a brief api outage. It should last just a few minutes." — then "Done" — then "#api Adding a very large table index..." — and finally, Thursday evening: "Finished. Butt is intact." (6 favourites. The board's favourite status update of the month.) What Adam should ask: what actually changed under the hood, what does "consistency" buy an app developer in practice, and is there anything a host or an app should do differently now that duplicates and url-change lag are being cleaned up?

SaaStr 875: Who Owns Your Data Now? Agents vs. System of Record, ServiceTitan vs. Podium, Headless Salesforce, and Agentic Renewals on The Agents #013 The agents are writing data faster than any human ever could - and systems of record aren't ready for it. This week on The Agents, Jason and Amelia dig into the biggest meta-theme of 2026: what happens when your AI agents become the primary user of your CRM, your MAP, and every other system you've built your business on? Together, they unpack the ServiceTitan vs. Podium blowup, where an agentic lead gen tool slowly became a competing system of record until ServiceTitan shut them off with 30 days' notice, and why this is just the first of many fights like it coming across SaaS. Then Amelia pulls back the curtain on how SaaStr actually runs Salesforce headless through 10K, what it means that their agents have written 40 gigabytes of data into Salesforce without either of them logging in, and why the storage math is going to force a reckoning for every vendor jacking up API prices right now. Plus: the renewal agent Amelia built that generates a fully custom, hyper-personalized pitch deck for every single customer, using headless Salesforce, Gamma, social data, podcast mentions, and Gmail. And why Clay plus ZoomInfo plus Cowork turned out to be the best enrichment stack their agents have found yet. If you're building on top of systems of record, selling to companies that are, or just trying to figure out how agents change the economics of SaaS data, this one is essential listening. Timestamps: 00:00 - Intro 02:00 - ServiceTitan cuts off Podium: what happened and why it matters 10:00 - 40 gigs in Salesforce and neither of us logged in 16:00 - The API pricing reckoning coming for systems of record 22:00 - How SaaStr runs Salesforce headless with 10K 30:00 - The renewal agent: no account left behind 42:00 - Narrative-first pitching: getting the agent to sell 50:00 - Clay + ZoomInfo + Cowork: the enrichment stack that actually worked 58:00 - What comes next: agentic inbound proposals SaaStr hosts the world's largest community for B2B software founders and executives.

Join host Craig Fuller and Matt Leffler on this episode of Freight Expectations as they break down the biggest stories reshaping the freight and logistics industry: A look at the rising tide of organized rail and trucking theft, how Mexico is tackling cargo crime, and where the bipartisan CORCA legislation stands in Congress. Analyzing Chris Spear's early departure from the American Trucking Associations and the long-standing debate surrounding the "driver shortage" narrative. Two tech giants clash over ELD data access and API fees—what this means for small fleets, freight brokers, and load availability. How the AI-driven data center boom is driving industrial freight demand, and why NIMBYism and political battles are heating up. Don't forget to like, subscribe, and drop your thoughts in the comments! ⁠Follow the Freight Expectations Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Ray Cochrane digs into Anthropic’s Model Hardware Standard. It is a shared driver that lets an AI agent run real lab equipment, from pipetting robots to the lasers inside a quantum computer. He also covers OpenAI’s builder’s guide to GPT-5.6, Google’s new Expert Intelligence book feature, Apple’s M5 Ultra Mac Studio, and a judge’s order forcing Google to stop hiding rival app stores. Finally, he weighs in on Apple’s proposed 15 percent link-out fee, Meta’s Australia numbers, the White House deputizing private hackers, and why rivers obey a 1957 math rule. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. He is hunting for tickets to Michigan for his dad’s anniversary, and he has been learning Blender and Godot on the side, mostly modeling and blocking out levels. Consequently, he asks listeners for advice on starting a big game project, and he plans to record his progress, maybe as a time lapse. Then it is straight into the featured story. Anthropic’s Model Hardware Standard: A Driver for the Physical World The featured story comes from Anthropic, which opened a research preview of the Model Hardware Standard, or MHS. Cochrane frames it as the other side of the question NVIDIA’s world models raised two weeks ago: when do AI agents start touching actual machines? A typical lab runs a microscope, a liquid handler, a robotic arm, and a plate reader, each from a different vendor with its own control software. One Janelia researcher in the post launches seven programs in three languages just to start an experiment. Anthropic says wiring a setup like that takes weeks or months of specialist work. MHS is a driver, the same kind of translation layer a printer uses, except every device gets described with a tiny set of commands like read and write. Devices announce themselves on the network. A plain-English reference file then records what each machine measures, what can be adjusted, and which safety limits get enforced no matter what the agent asks. Agents then reach the hardware through the Model Context Protocol, the command line, or plain code. Cochrane sees the same move the industry keeps making, from coding harnesses to RSS and JSON: agree on a standard and let everyone build against it. In fact, he calls MHS the hardware version of MCP. The partner results carry the segment. QuEra builds quantum computers from individual atoms held by lasers that must hold their frequency to about one part in a trillion. A four-person team spent months on a relock script that worked 58 percent of the time. However, four copies of Claude iterating overnight through MHS produced a decision-tree script that recovers the laser in about six seconds, and it passed 99.3 percent of 700 blind trials. Carnegie Mellon wrote MHS drivers for four instruments across three incompatible computers in about eight hours, then ran dose-response experiments three times faster and blocked all six deliberately induced faults. Genentech, meanwhile, showed the limits. Claude used the same pump speed for water, a foamy protein solution, and a human had to explain that the bubbles were a physics problem. That gap in physical intuition is what sticks with Cochrane. He doubts it will change soon, and he suspects the fix will arrive as sub-agents or sub-models that judge a request against an expected outcome. He also connects MHS to a video of racing robots that never learned to stop at the finish line. What happens, he wonders, once they can read a distance sensor through a shared standard? Still, he calls the announcement a fantastic read and points listeners to the full article. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. GPT-5.6 Does the Same Work for a Fraction of the Cost OpenAI’s builder’s guide to GPT-5.6 leads the headlines. Cochrane recaps the three tiers from episode 1870, Sol, Terra, and Luna, plus the separate dial for reasoning effort. On BrowseComp, a benchmark for digging up obscure facts on the web, the old GPT-5.5 flagship scored about 84 percent on a run that cost 33 dollars three months ago. Luna now matches that score for a dollar thirty-three, and OpenAI has since cut Luna’s price another 80 percent. Browser Use reports Luna finishing 78 percent of its hardest browser tasks for about 14 dollars, against 80 percent for roughly 235 dollars from the best available model. The guide’s other big addition is a multi-agent beta flag. It lets the model handling a request spawn parallel helper agents that report back to a root agent inside a single API call. However, Cochrane is unimpressed by the timing. He has been running that pattern in Claude Code for months, so he sees OpenAI copying a workflow other companies already ship rather than inventing its own. Along the way, he plugs Claude Code’s remote-control sessions, which let him send prompts from his phone to a terminal session at home. Google Lets Gemini Read the Books You Actually Bought Google launched Expert Intelligence, a name Cochrane calls quite the reach. The feature lets you drop a book you bought on Google Play Books into Gemini Notebook, formerly NotebookLM, and ask questions answered only from that book, with citations. Cochrane sees real power here for students, since he once used NotebookLM to organize scattered course PDFs. Additionally, publishers get a cut, which he calls a far better deal than the wholesale scraping of books that trained earlier models. Nevertheless, he asks who loses out, because a paid publisher does not automatically mean a paid author. He floats the same idea for artists, even a penny per use, then admits that may be too idealistic. Apple’s M5 Ultra Mac Studio Is Built to Run Big Models at Home Back in episode 1861, when Apple killed the Mac Pro, an M5 Ultra Mac Studio was expected later this year. Now it is here. The M5 Ultra brings up to a 36-core CPU, an 80-core GPU, and 512GB of unified memory moving 1.2 terabytes per second. Apple claims up to 4.3 times the AI performance of the M3 Ultra. Thunderbolt 5 can also cluster four machines into one memory pool for up to three times faster inference. The M5 Max model starts at $2,499 and the Ultra at $5,499, with shipping on September 22 and the 512GB configuration arriving in late October. Cochrane finds the clustering pitch ridiculous at that price, but he invites anyone who spends the money to report back. Apple Opens a Manufacturing School in Houston Apple also opened a 20,000-square-foot Advanced Manufacturing Center in Houston. It offers free classes for small and midsize manufacturers, from circuit board design to hands-on time on a scaled-down production line, with college students joining later. Cochrane calls it a solid step in the bring-manufacturing-home movement. The bigger story is the campus itself, which builds Apple’s AI servers and will add the first US-assembled Mac mini line later this year. That ties back to the Mac mini shortage that followed the OpenClaw rush, when Tim Cook warned of months-long waits. Cult of Mac was still reporting four-month waits in late July. However, Cook blamed chip supply rather than assembly, so Cochrane is not counting on relief just yet. Amazon EC2 Turns Twenty Amazon EC2 turned twenty this week, which Cochrane admits makes him feel old. The 2006 beta offered one server size in one region for ten cents an hour. Each came with a 1.7 gigahertz Xeon and under two gigabytes of memory, and accounts were capped at twenty servers. Today AWS offers more than 1,200 instance types across 39 regions. Consequently, Cochrane credits the company with turning that tiny product into the backbone of cloud and AI computing. Intel Gamer Days: Two Free Games, With Fine Print Intel Gamer Days runs through September 13. Buy a qualifying Core Ultra Series 2 or 14th Gen desktop chip, a Core Ultra Series 3 laptop, or an Arc graphics card. In return you get Star Wars: Galactic Racer plus the Tomb Raider: Legacy of Atlantis remake. GamesRadar values the pair at about 120 dollars. However, neither game is out yet, and codes must be redeemed by October 31 even though the Tomb Raider remake ships in February. Cochrane calls that awful, but he still tells qualifying buyers to claim the deal early. Note that 13th Gen chips do not qualify. Judge Orders Google to Stop Hiding Rival App Stores A jury found Google’s Android app monopoly illegal in late 2023, and Judge James Donato ordered rival stores into the Play Store in 2024. On August 13, Epic’s lawyer demonstrated that searching Play for “store for apps” returned Walmart instead of any app store. Donato called that “not acceptable” and ordered three fixes within a week. Searches must surface third-party stores, listings need a plain install button, and the “are you looking for” interstitial has to go. Cochrane welcomes the monopoly being chipped away, but he notes that a controlling entity still sits atop every app store. In his view, community hubs like app stores and social media need a public infrastructure layer. He suspects governments skip that investment because companies already run the services, while selling your data. Apple Wants 15 Percent of Purchases Outside Its Store The other half of the Epic saga is Apple’s proposed link-out commission. After the 2021 anti-steering injunction, Apple charged 27 percent on purchases made through external links. A judge held it in contempt last year, and the Ninth Circuit then allowed a fee limited to the cost of running the system. Judge Yvonne Gonzalez Rogers refused to wait for the Supreme Court, writing that “further delay is unwarranted.” Apple filed 15 percent for standard apps, 10 percent for subscription renewals and partner programs, and 5 percent for small businesses. It also conceded the rate would be “essentially zero” under the appeals court’s cost yardstick. Since Apple has charged nothing on link-outs since the contempt ruling, Cochrane sees this as a raise. He calls a cut on purchases made on a developer’s own website disturbing. He also recalls reading about the size of Uber’s payments to Apple, and he questions whether that kind of percentage is sustainable for companies without funding. Meta Says It Has Cut Off 750,000 Australian Kids Meta reported locking out more than 750,000 Facebook and Instagram accounts in Australia by the end of June under the country’s under-16 social media law. Over 500,000 of those were removed before the law even took effect. Detection relies mostly on AI scanning posts and bios for tells like birthday messages, plus user reports and blocks on re-registration. However, the post gives no count of mistaken removals or appeals, and the regulator’s early data shows under-16 usage falling only from about 86 to 81 percent. Meta wants a single age signal at the operating system or app store level, and Cochrane agrees completely. He connects it to the MHS idea from the top of the show: platforms need a standard flag to reference instead of guessing. The White House Deputizes Private Hackers Earlier this month the White House signed a National Security Presidential Memorandum that lets vetted private security firms run surveillance and disruption operations against overseas criminal groups. The Justice Department and Homeland Security hold the contracts and oversee the work. Firms need a proven track record, vetted staff, and a bond of at least $1 million, and must submit operating procedures within 60 days. Cochrane finds the measure aggressive in a good way and hopes it deters attacks on innocents. Still, he takes Kevin Beaumont’s warning seriously that the private security industry profits from ransomware existing. He compares it to the old Head and Shoulders myth: why solve the problem that drives your revenue? A Weather Satellite Watched the Eclipse Shadow Cross Europe Cochrane skips the readout on this one and simply sends listeners to ESA’s site. The MTG-I1 weather satellite captured the Moon’s shadow sweeping across Europe during the August 12 eclipse. Watching a shadow cross an entire continent, he says, was a first for him. Additionally, it leaves him excited about the research happening beyond the planet. Rivers, Deltas, and the Number 0.6 Quanta Magazine explains Hack’s law, which John Hack discovered in 1957 while measuring streams in Virginia and Maryland. A stream’s length tracks its drainage area raised to the power of 0.6, regardless of the rock underneath, and satellite data later confirmed it worldwide. Computer models in the 1990s showed why. Channels that capture extra runoff cut deeper and steal from their neighbors until the network settles into the arrangement that wastes the least energy. Now a University of Texas Rio Grande Valley team has found the same 0.6 exponent in river deltas, which spread water out rather than gathering it. Nobody knows why yet, and Cochrane calls it a really cool read. Sugar Helped Grow the Human Brain, Too A new paper in Science, co-authored by Jennie Brand-Miller at the University of Sydney, adds a third ingredient to the story of early human brain growth. Alongside meat and cooking, natural sugars from ripe fruit and honey may have fueled it too. The brain is about two percent of body weight but burns twenty percent of resting energy. It runs on glucose, which meat and marrow barely supply and raw starch cannot release without fire. The team modeled ancestral diets from a chimp-like baseline through Homo erectus and concluded that the earliest hominins may have drawn over 65 percent of their energy from natural sugars. Cochrane stresses that it is a model, not fossils, and notes that paleoanthropologist Marina Lozano thinks the authors place widespread cooking too early. Still, he loves this kind of deep research. Retracing the steps to our own intelligence, he suggests, could hint at what it takes for intelligent life to develop at all. A Brain Rhythm That Tells Doctors Where to Aim Finally, Science Daily covered a University of Cologne study on deep brain stimulation. That is the implanted-electrode treatment that eases Parkinson’s tremors for some patients but not others. Andreas Horn’s team recorded from 50 patients using both the implanted electrodes and an external magnetic scanner. They identified a circuit between the electrode’s target and the frontal cortex that oscillates at 20 to 35 cycles per second. Stronger coupling there predicted bigger improvement after surgery, though the study, published in Brain, shows correlation rather than cause. First author Bahne Bahners hopes the finding helps tune DBS more precisely, especially for patients who have not responded well. Cochrane half-jokingly asks whether MHS might one day drive those electrodes, and he calls brain disorders the hardest thing in the body to treat. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com with questions or comments, subscribe to the newsletter, and grab a modern podcast app at podcastapps.com. He thanks GoDaddy for over twenty years of keeping the show on the air, promises to catch everyone next Monday, and wishes listeners a great night. The post Eyes, Hands, and a Sense of Timing #1874 appeared first on Geek News Central.

Host: Mike Nemer (CEO, eRenewable) Guest: Chris Hyde (Sales Account Executive & Meteorologist, SkyFi) Episode Overview In this episode of The Green Insider Podcast, host Mike Nemer is joined by 5-time returning guest Chris Hyde, Sales Account Executive and Meteorologist at SkyFi. Chris breaks down how SkyFi operates as an “Amazon-like” aggregator marketplace for satellite data, connecting users to over 300 satellites and 50 partner sources. They discuss real-world applications of high-resolution Earth observation—from tracking pipeline leaks and methane monitoring to city planning, post-storm damage assessments, and managing global market risks. Key Highlights & Takeaways The “Amazon” of Satellite Imagery: SkyFi simplifies satellite data procurement through a single contract and API, aggregating data from leading satellite providers like Maxar and Planet. Energy & Infrastructure Monitoring: How midstream energy companies use satellite imagery for vegetative management, detecting pipeline leaks, and monitoring high-risk infrastructure like LNG terminals. Weather & Disaster Recovery: Utilizing high-resolution imagery (down to 25–30 cm) post-hurricane or post-storm to quickly assess damage to refineries, offshore rigs, and utility lines. Impact of Climate Events: How upcoming weather phenomena like El Niño alter global risk patterns, typhoon activity, and coastal flooding scenarios. Flexible Purchasing Options: SkyFi offers both flexible on-demand (credit card/ad-hoc) purchases and recurring subscription contracts for continuous asset monitoring. Connect & Resources Learn more about eRenewable: eRenewable.com Discover SkyFi: SkyFi.com Become a Green Insider Be sure to subscribe to The Green Insider, powered by ERENEWABLE, wherever you get your podcasts—and don't forget to leave us a five‑star rating! To learn more about our guests or to inquire about sponsorship opportunities, please contact ERENEWABLE and The Green Insider Podcast. #TheGreenInsiderPodcast #SkyFi #SatelliteImagery #EarthObservation #EnergySector #RenewableEnergy #EnergyInfrastructure #PipelineMonitoring #MethaneMonitoring #ClimateRisk #WeatherIntelligence #DisasterRecovery #StormDamageAssessment #LNG #GIS #RemoteSensing #EnergyTech #CleanEnergy #InfrastructureMonitoring #Sustainability The post How SkyFi Leverages Satellite Imagery for the Energy Sector with Chris Hyde appeared first on eRENEWABLE.

TypeScript is a programming language that builds on JavaScript by adding a system of types. Those types let developers describe the shape of their data and catch mistakes before code ever runs, while also powering the autocompletion and editor tooling that many developers now rely on every day. It was first released in 2012, and has since become one of the most widely used tools in web development. TypeScript recently underwent one of the most significant changes in its history with the release of version 7. Daniel Rosenwasser is the Principal Product Manager of TypeScript at Microsoft, where he began as an engineer on the team just weeks after the TypeScript 1.0 release. In this episode, Daniel joins Josh Goldberg to talk about the features of TypeScript 7. They discuss the TypeScript team’s approach to tooling, TypeScript’s relationship with the TC39 standards process behind JavaScript, the new API and IPC boundary, how LLMs could reshape type checking and linting, and more.Sponsorship inquiries:sponsor@softwareengineeringdaily.com The post TypeScript 7 and What Comes Next appeared first on Software Engineering Daily.

Topics covered in this episode: Web UIs for your reverse proxy Wagtail 8.0 is hot off the presses RISC-V is now officially supported by CPython Django's annual releases make every version an LTS Extras Joke Watch on YouTube About the show Sponsored by Logfire from Pydantic: pythonbytes.fm/logfire Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Web UIs for your reverse proxy Traefik, nginx, and Caddy all sit in front of a lot of self-hosted infrastructure, and all three are configured by hand-editing files. Three active projects put a control plane on top: Traefik Manager (Python + Flask), Nginx UI (Go + Vue), and caddy/ui (React + Node). All three are additive rather than replacements - none of them take ownership of your config away from you - which is the part that matters when the thing has write access to production routing. Traefik Manager is the Python one: Flask 3.1 and Gunicorn for the control plane, a lightweight Go agent for remote instances, currently v1.10.0 with an Android companion app. Nginx UI is a single Go binary at 11.3k stars, with a block-style config editor, an Ace editor doing LLM completion on nginx syntax, and an MCP server so agents can drive it. caddy/ui runs as two containers next to your existing Caddy, reads and writes your Caddyfile directly, and uses Caddy's /adapt API to validate before reload - no Docker socket required. Each one edits the config the underlying server already reads, so your files stay the source of truth and you can drop the UI without unwinding anything. Undo is a first-class feature across all three - timestamped backups with optional Git history, config version compare and restore, Caddyfile snapshots with one-click rollback. Observability is where they diverge: Traefik Manager does CrowdSec and a visual route map, Nginx UI does server metrics, caddy/ui streams access logs over SSE and pulls p50/p95/p99 off Caddy's Prometheus endpoint. Maturity spread is wide - Nginx UI has 11.3k stars, caddy/ui has 4 and was built in a single Claude session - and caddy/ui ships with auth off by default, so set CADDY_UI_USER and JWT_SECRET before it goes anywhere near a public interface. Calvin #2: Wagtail 8.0 is hot off the presses Link: https://github.com/wagtail/wagtail/releases/tag/v8.0 Custom base page models are now supported, so projects aren't locked into subclassing Wagtail's Page as shipped (Matt Westcott). New v3 REST API handles both read and write CMS operations, a first for Wagtail's API. A global registry for permission policies, plus full customizability for the remaining page views via PageViewSet. AVIF and WebP images are no longer auto-converted to PNG by default, a real behavior change to watch on upgrade. Five security fixes: page admin API restrictions, document identification by SHA1 hash, descendant collections in the Documents/Images API, snippet copy permissions, and the page translation endpoint. Formalized Django 6.1 support, and CI now runs on uv with a lockfile. Sponsor: Logfire from Pydantic Your AI agent failed at 2am. Was it the model? A tool call? The database? Most observability tools can't tell you, because they only see part of your stack. Pydantic Logfire sees all of it. One trace across your agents, LLMs, APIs, and database. Down to the infrastructure: services, Kubernetes, and hosts. It's built on OpenTelemetry, with SDKs for Python, TypeScript, and Rust, and it works with any OTel-compatible language. Every prompt, token count, and cost, right next to your vector searches and API calls. You query everything with Postgres-compatible SQL. And so can your coding agent, through the Logfire MCP server. Stop guessing. Read the trace. Pydantic Logfire. AI, it's still just engineering. Visit pythonbytes.fm/logfire today and sign up today. Get 10M records free every month, no card required. You can even click “Onboard with your coding agent” to copy a prompt to have claude or codex integrate Logfire into your app. Thanks to Pydantic for supporting the show. Calvin #3: RISC-V is now officially supported by CPython Link: https://blog.python.org/2026/08/riscv-now-officially-supported/ CPython added RISC-V as a tier 3 platform under PEP 11, specifically the 64-bit Linux target riscv64-unknown-linux-gnu. RISC-V is an open ISA anyone can implement, unlike x86 and ARM, and its market is projected to quadruple by 2032. The RISE Project donated real RISC-V machines for buildbots; the author's work was funded by a Sovereign Tech Agency fellowship. What changes: the port is now a maintained compatibility target, so CPython changes are less likely to quietly break it. What doesn't: no python.org installers, no binary wheel parity for native extensions. Next up: RISC-V runners in CPython CI for pre-merge feedback, then a push toward tier 2, plus architecture-specific optimizations. The ask is testing. If you have RISC-V hardware, build CPython, run your test suite, file what breaks. Tier 3 is the weakest support tier. PEP 11 tier 3 requires a core developer contact and a buildbot, but failures on tier 3 platforms explicitly do not block a release. Saying "ongoing CI/testing expectations" oversells it. The honest bit is "someone is now on the hook for it, and breakage gets noticed," not "it's guaranteed working." Worth the caveat that this is Linux SBCs, not microcontrollers. A VisionFive 2 counts, an ESP32-C6 or Pico 2 does not. Those are 32-bit non-Linux parts where MicroPython is still the answer. Michael #4: Django's annual releases make every version an LTS Starting with Django 2028, Django will move to one January feature release per year, adopt calendar-based version numbers, and support every release for three years. The old distinction between standard and LTS releases disappears, giving teams a predictable annual upgrade path that aligns more closely with Python's own release and support cadence. Every Django release becomes the safe, long-supported choice, so teams no longer need to wait for a specially designated LTS version or absorb two years of changes at once. Each release gets one year of mainstream bug fixes followed by two years of security and data-loss fixes. New releases support the three latest Python versions and add the next Python release during their first year. Calendar versioning begins with Django 2028, followed by Django 2029 and so on. Three Django versions will be supported at any time, giving third-party packages a clearer rolling target. Nothing changes before 2028, and existing commitments for Django 5.2 LTS and 6.2 LTS remain in place. Extras Calvin: The Python docs now document the time complexity of built-in types https://docs.python.org/3.16/library/time-complexity.html Thinking in Python - Bruce Eckel's free book https://thinkinginpython.com/ Michael: prune_uv_pythons.py - Prune uv-managed Python installs, keeping only the newest patch per minor version Runs automatically in my system “upgrade” script: upgrade-output-2026.png Started using Ollama cloud models for my Hermes assistant. Thanks to Jeff Triplett I learned they are not just local models. Joke: The Tao of Programming - Book Seven: Corporate Wisdom

Industrial Talk is onsite at Octave Live and talking to Kristin Coyle, Product Manager, Engineering Analysis at Octave about "Using AI for Prototyping". The conversation promotes the Barcelona Cybersecurity Congress from November 3-5, 2023, emphasizing its importance for cybersecurity professionals. Scott Mackenzie hosts the Industrial Talk podcast, celebrating industry innovators. Kristin, a third-generation engineer, discusses her role at Octave, where she uses AI tools like Claude to prototype and improve software for pressure vessel analysis. She highlights the importance of human interaction in AI development, the need for real-time solvers, and the potential for AI to reduce rework and improve efficiency. Kristin also mentions her involvement in API 579 and ASME, underscoring her extensive industry experience. Outline Barcelona Cybersecurity Congress Announcement Scott introduces the Barcelona Cybersecurity Congress, emphasizing its importance for cybersecurity professionals.The event is scheduled for November 3-5 in Barcelona, with networking opportunities and expert discussions.Scott mentions their own participation and broadcasting at the event.Encourages listeners to mark their calendars and join the conference. Introduction to Industrial Talk Podcast Scott is described as a passionate industry professional focused on innovations and trends.Scott thanks listeners for joining the top industrial-related podcast.Highlights the achievements of industry professionals, calling them heroes for solving daily problems. Live Broadcast from Octave Live Scott announces the live broadcast from Octave Live, an event for a new company.Kristin is introduced as a key figure at Octave, leading innovation.Scott humorously mentions meeting Kristin in a bar, adding a light-hearted tone.Kristin shares her positive experience at the event, comparing it to Hexagon Live. Kristin's Background and Family Legacy Kristin shares her background, mentioning her family's engineering legacy.Her father was a top LNG expert, and her grandfather was a NASA rocket scientist.Kristin trained as a violinist with the Houston Symphony but chose engineering.Discusses her education at Drexel University in Philadelphia for material science. Kristin's Role at Octave and Innovation Kristin explains her role at Octave, focusing on customer needs and prototyping.Uses Claude, a chat-based AI tool, to prototype and demonstrate ideas to customers.Describes the process of creating prototypes and refining them based on customer feedback.Highlights the importance of real-time solvers and dashboards in their software. Challenges and Opportunities in AI Implementation Kristin discusses the challenges of training AI on customer data while protecting intellectual property.Emphasizes the need for continuous interaction with customers to avoid data drift.Mentions the importance of beta testing and gathering customer feedback.Highlights the potential for AI to reduce rework and improve efficiency. Impact of AI on Engineering and Collaboration Kristin talks about the transformative impact of AI on engineering tasks.Describes how AI can free up engineers' time for more creative and strategic work.Discusses the potential for real-time collaboration and better product development.Emphasizes the importance of human interaction in the AI development process. Future of AI and Industry Collaboration Kristin shares her vision for the future of AI in the industry.Highlights the need for continuous training and improvement of AI tools.Discusses the potential for AI to revolutionize various aspects of engineering and analysis.Emphasizes the importance of collaboration and communication in achieving these goals. Kristin's Contact Information and Final Thoughts Kristin provides her contact information for further discussions and collaboration.Scott encourages listeners to reach out to Kristin and engage with the industry.Highlights the importance of storytelling and sharing experiences in the industry.Concludes the podcast with a call to action for listeners to join the conversation and stay updated with industry trends. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! KRISTIN COYLE'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/kristincoyle/ Company LinkedIn: https://www.linkedin.com/company/octaveintelligence/ Company Website: https://www.octave.com/ PODCAST VIDEO: https://youtu.be/59Fsnon3V_A THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Business Beatitude the Book Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? 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If you’ve been spinning up AI tools — Claude Desktop, Cursor, Copilot, and so on — there’s a decent chance that API keys, credentials, and access tokens are sitting in plaintext on your laptop. With MCP, every quickstart guide tells you to paste your credentials right into a config file. That was a bad habit... Read more »

If you’ve been spinning up AI tools — Claude Desktop, Cursor, Copilot, and so on — there’s a decent chance that API keys, credentials, and access tokens are sitting in plaintext on your laptop. With MCP, every quickstart guide tells you to paste your credentials right into a config file. That was a bad habit... Read more »

Marco Witzmann, Head of Requirements Portal at Altium, returns to the Altium OnTrack Podcast to show host Zach Peterson what the tool formerly known as Requirements Manager has become. In a live demo, Marco starts from a plain-language email about a wind-farm inspection drone and watches the new engineering assistant turn it into properly formulated requirements, complete with TBD placeholders instead of invented numbers. From there he breaks a high-level product spec down into mechanical, electronics, and flight software specifications, with parent-child links and full traceability generated automatically. Every change is proposed first and applied only when you approve it, so the agent never silently rewrites your project. The heart of the episode is the workflow every PCB designer recognizes: you are handed a hundred-page IMU specification and told to pick the MCU. Marco drag-and-drops the PDF into the AI-assisted importer, lets it separate real requirements from tables of contents and revision history, then asks the agent which requirements actually drive MCU selection. The answer comes back as a clean parameter-and-value spec — supply voltage, ambient temperature range, power budget, clock speed, end-to-end latency — linked back to the originals, and ready to drop straight into an Octopart parametric search. Marco and Zach also dig into what AI should and should not decide for you, why requirements work is really about faster iteration rather than perfect first drafts, how skills let a team standardize the way requirements get written, and what is next on the roadmap: API access, simpler ECAD integration, and per-project access control. 

This week we sit down with technical experts Alex Carver and Matt Webb to break down the rapidly evolving virtualization landscape. The conversation explores the shifting dynamics of the industry, focusing on key platforms like VMware Cloud Foundation, Nutanix, Azure Local, and Hyper-V. We reflect on how the market is moving away from a single vendor monopoly toward a more fragmented ecosystem that requires IT leaders to be versatile and strategic in their platform choices. Next we talk about how Everpure continues to serve as a reliable foundation in this changing environment. Alex and Matt explain how Everpure simplifies data management by providing consistent performance and efficiency, regardless of which hypervisor a customer chooses. They highlight how the company is moving beyond simple storage to become a strategic partner that helps organizations navigate transitions, manage costs, and adopt new technologies like containerization without sacrificing stability. We also dive deep into the technical partnerships driving innovation across the industry. The guests share insights on how Everpure is integrating with modern platforms like Red Hat OpenShift and Nutanix to provide seamless, API driven experiences. Listeners will gain a clear understanding of the current market state and practical advice on how to architect infrastructure that remains flexible and resilient as the virtualization world continues to evolve. To learn more, visit: https://www.everpuredata.com/solutions/virtualization.html Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Coming Up and Intros 02:47 Early Days of Flash for VMs 06:50 Impact of VMware Monopoly 14:19 User Perspectives from Accelerate 17:02 VMware Cloud Foundation 27:08 Azure Local and Hyper-V 32:26 Nutanix AHV and Prism 40:50 VMs into Containers with Openshift 49:16 Other Hypervisors

Richard Entrup is unusual in quantum circles: he's not a physicist, and he doesn't pretend to be. He spent decades as a CIO, CTO, CDO, and CISO at organizations including Verizon, Christie's, Disney/ABC, Time Warner, and Tiffany & Company before joining KPMG to lead its Emerging Solutions practice. That background — deep operational experience on the client side — shapes everything about how he thinks about quantum. He's not selling a hardware roadmap; he's thinking about what it actually takes to get a large, complex organization to change its cryptographic infrastructure before a threat materializes.The conversation matters now because the signals are accelerating. NIST has finalized its first post-quantum cryptography standards, executive orders in the US are pushing federal agencies toward PQC migration, and the algorithmic efficiency gains that reduce the qubit threshold for breaking RSA-2048 keep coming. Listeners who work in enterprise technology, cybersecurity, or quantum strategy — or who advise organizations that do — will find Entrup's practitioner perspective a useful counterweight to the more hardware-focused conversations that dominate the field.What We Get IntoWhy Q-Day's exact date is the wrong question — and why the more important issue is how long it will take enterprises to even inventory their cryptographic exposure, let alone remediate itThe scale of the cryptographic migration problem, including why a single laptop may contain hundreds of individual cryptographic components and why upstream/downstream API dependencies make this a supply-chain-wide challenge, not just an internal IT projectWhy "harvest now, decrypt later" creates urgency today, regardless of when fault-tolerant quantum computers arrive — and how compliance and regulatory timelines interact with that threat modelWhat crypto agility actually means in practice — moving from a "set it and forget it" cryptographic posture to a dynamic, continuously monitored framework, including the pressure SSL certificate renewal windows are already creatingHow KPMG built its PQC practice, incubated it within the firm, and handed it off to the cybersecurity advisory team as a core service offeringThe "good quantum" side of the ledger — how KPMG's emerging research function is approaching quantum computing as a source of competitive advantage, not just risk, and what sectors are furthest along in exploring itThe AI-quantum convergence, including Entrup's observation that AI is already being used to read and crack code — and what that means for the urgency of cryptographic modernizationWhy the enterprise quantum opportunity still has a long tail, and how the current moment compares to the early infrastructure phase of the internet — when everyone was talking about TCP/IP and DNS, not Uber or NetflixResources & LinksGuest & OrganizationRichard Entrup — Worth Magazine Profile — Career arc from CIO/CISO roles at major global brands to KPMG's Emerging Solutions practiceKPMG Quantum Dawn (2025) — KPMG's enterprise quantum readiness hub, introducing the Q-PREP framework and PQC implementation services, with Entrup as named leadReports & ResearchKPMG — "The Quantum Threat Is No Longer Theoretical" (2026) — The threat brief discussed in this episode, charting the rapid decline in qubits needed to crack RSA-2048 and urging immediate PQC migrationKPMG — "From Theory to Impact: Real-World Results in Quantum Machine Learning" (2026) — KPMG's joint report with IBM and Kipu Quantum on measurable quantum ML results on real hardwareKPMG — "Prepare Now for Quantum Cyber Risk" — Board Leadership Article (2026) — C-suite and board-level guidance on integrating quantum risk into enterprise oversightarXiv — "Quantum-enhanced satellite image classification" (2026) — The underlying research paper behind the KPMG/IBM/Kipu Quantum ML resultsEcosystem & EventsChicago Quantum Exchange — KPMG Joins CQE (October 2024) — Announcement of KPMG's formal CQE membership, referenced in the episode as part of the firm's ecosystem-building strategyKPMG 2026 Quantum Consortium — The inaugural KPMG Quantum Consortium event (March 2026, Orlando) discussed in the episodeIndependent CoverageQuantum Computing Report — KPMG joins Chicago Quantum Exchange (2024) — Independent coverage of KPMG's CQE partnership and enterprise quantum strategyQuantum Zeitgeist — Kipu Quantum satellite imagery coverage (Feb 2026) — Independent analysis of the KPMG/IBM/Kipu hybrid QML resultsKey Quotes & Insights> "It's not if but when. And it could be five years, could be three years, could be ten years. The fact is organizations are not gonna be ready. And that's the scary part." — Richard Entrup on Q-Day> "This is not just the CISO. This is gonna be the software engineering app dev guys. This is gonna be all your partners, upstream and downstream, who have to also be compliant — because if you change your crypto and they don't, that stuff's gonna break." — On why PQC migration is an enterprise-wide, supply-chain-wide problemInsight: Entrup draws a sharp distinction between the "bad quantum" (cryptographic risk requiring urgent defensive action) and the "good quantum" (competitive opportunity with a longer tail) — and argues that most organizations aren't adequately addressing either.Insight: The analogy to the early internet is deliberate: just as the 1990s were consumed with TCP/IP and DNS rather than the applications those protocols would eventually enable, the current quantum moment is still largely an infrastructure conversation — and that's normal, not a sign of failure.> "AI is expediting all of this. If AI is doing one thing, the use case is reading code and cracking it. That's pretty scary." — On the intersection of AI capability and cryptographic vulnerabilityRelated EpisodesEp. 81 — Quantum LDPC Error Correction with Larry Cohen and Paul Webster — Directly relevant: Cohen and Webster discuss how QLDPC error correction reduces the qubit overhead needed for RSA cryptanalysis, the technical underpinning of the threat timeline Entrup describesEp. 38 — Quantum Machine Learning with Jessic...

Syncthing saves the day in an unexpected way, and we dig into what's new in Linux 7.2.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

Don’t miss the marketplace revolution! Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode of the Ultimate Partner Podcast, Vince Menzione sits down with AWS Marketplace leaders George Maroulakos and Arif Razvi to uncover the rapidly shifting ecosystem of technology procurement and partner transformation. They dive deep into the evolution of buyer experiences, the critical necessity of executive alignment, and how agentic AI is redefining software discovery and consumption. If you want to accelerate deal velocity and ensure your business isn’t left behind, this conversation outlines exactly why integrating the AWS Marketplace into your core co-sell motion is no longer optional. https://youtu.be/Avp0sIyxRU8 Key Takeaways Embracing the AWS Marketplace should be viewed as a natural extension of your co-sell motion, not an interrupt-driven exception. Successfully leveraging the marketplace requires top-down executive sponsorship to overcome internal friction across legal, finance, and revenue operations. Partners must prepare for global expansion by ensuring local entities and currencies are wired up to meet buyers where they are. Agentic AI and natural language queries are leveling the playing field for software discovery, moving beyond traditional SEO-driven presence. SaaS pricing models are shifting toward consumption and outcome-based structures, demanding highly detailed product metadata. The speed of deal closure is drastically increased when partners are prepared to transact seamlessly through the marketplace. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AWS Marketplace, partner transformation, buyer experiences, hyperscalers, co-sell motion, revenue operations, strategic alignment, agentic AI solutions, outcome-based pricing, metadata optimization, software discovery, private offers, global expansion, deal velocity, cloud centers of excellence. Transcript Arif Razvi and George Maroulakos Audio Episode [00:00:00] George Maroulakos: From my perspective, think about marketplace as a why not as opposed to a why. [00:00:06] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:17] Arif Razvi: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. [00:00:22] Arif Razvi: And each week I sit down with leaders at the intersection of technology, [00:00:26] Vince Menzione: partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:39] Arif Razvi: It is the strategy because being in the room changes everything. [00:00:44] Arif Razvi: Let’s start. [00:00:48] Vince Menzione: I’m excited to, because we were talking about some of this earlier with Matt, but I thought this would be a great conversation. I’m gonna ask each of you to introduce yourselves, George and Arif, and your roles. ’cause you have two very unique roles. Uh. Contrasting roles, I would call it, within the AWS Marketplace Organization. [00:01:06] George Maroulakos: Yep. Happy to do so. So I think Vince just didn’t wanna say my last name, so that’s why I’m gonna introduce myself. Mayor. Very, very good. So Mayor Laki, George Meki, pleasure to meet. Hey, I can say that, uh, all of those that I haven’t met before, lots of familiar faces as well here. Uh, so it’s really great to see. [00:01:21] George Maroulakos: Uh, I’m part of the AWS Marketplace team and our center of excellence. That focuses on buyer experiences. So like why is a buyer guy here in this partner session? And I think, you know, I’m gonna help to try to bring some perspective around what our buyers see as the value for using marketplace and. [00:01:40] George Maroulakos: Working with all of these great partners that are here in the room and, uh, you know, the experiences that we see in helping to drive, you know, the blood to all organs. I’m using that a lot, Alison, to copyright it. It’s, it was really good. I love that, that analogy. But, um, for, but for both our partners as well as for our customers. [00:01:59] Vince Menzione: That’s awesome. [00:01:59] Arif Razvi: Hey everybody. I’m Arif Roski. I’m based here in New York City, although I’m a Celtics fan. Um, uh, go, go. I, I still supported the Knicks through the championship and I’m very happy for them. So excited to be here. Excited to be among, uh, other channel and alliance leaders. I’ve spent my entire 25 plus career in channels and alliances. [00:02:20] Arif Razvi: The last seven years, uh, on AWS marketplace where I lead, uh, a couple of functions. One is I support all of Matt Ian’s feature launches. So from a go-to market perspective, uh, I support his launches. I also focus on international expansion of marketplace. So, uh, Matt alluded to this earlier. I’ll mention some, I’ll talk about some stuff in a little bit. [00:02:39] Arif Razvi: And then, uh, we do some deep engagements with some of our most strategic partners to help them accelerate and unblock their marketplace business. By embedding a subject matter expert from my team into their organization to really help drive, uh, adoption of marketplace. [00:02:55] Vince Menzione: So important. Both of your roles. [00:02:56] Vince Menzione: By the way, this is standout roles. I, you know, I. I don’t want to get into trouble here. I talk about other hyperscalers, but I said this with Matt on stage earlier. You guys have been at the forefront of driving marketplace in such a strong way, having somebody who’s customer focused, right? And that lens is so important. [00:03:15] Vince Menzione: I don’t feel, I feel like that’s missed so many times. And then you also have. You know, quite a bit of an important role here in terms of what you’re doing in embedding resources. ’cause a lot of times people get lost in the process and it seems to be the, the common currents. So, um, really great both sides of the same equation here, right? [00:03:33] Vince Menzione: Buyer led, partner built, uh, let’s start George here. Um. Let’s talk about how buying has changed. Right. We go back to the early days of marketplace. It felt like it was a listing at first and it started to become important. Organizations like Work Span started to come to fruition and started to drive, at least in my part of the world. [00:03:53] Vince Menzione: And then we started talking a lot more about Marketplace. And of course the, the cus customer commits really started driving things in a different direction. You’ve got the customer, so talk about what your journey’s been like. [00:04:05] George Maroulakos: So I’ve been with Marketplace nine and a half years, which is pretty long time since the beginning of it, and watching the evolution of, of where things have come and where they started. [00:04:15] George Maroulakos: And I remember, uh, I was covering the, the northeast region when I very first started and working with, uh, you know, different enterprise accounts and financial services and, and, and healthcare and life sciences, and talking about this. This creation that occurred called, called AWS Marketplace, and even folks within AWS didn’t really know what that meant or how to talk about it or sell it. [00:04:38] George Maroulakos: So there was this creation of a infield based business development function to help supplement the account teams and the value and the importance of marketplace as a part of a customer’s AWS journey. And when I first started the, the, the highest, uh, or most frequently subscribed to products that existed were. [00:04:57] George Maroulakos: Uh, Amazon machine images a amis and it’s very specifically open source amis. So think of Bantu or Cintas as the predominant things that were being subscribed out of marketplace. So, um, by definition, not really revenue generating. You’re, these are not the a hundred million dollar transactions or the billion dollar club that we talk about today. [00:05:19] George Maroulakos: It was very much helping. The builders go again, go back 10 years, uh, who are just getting started with the cloud and how could they find partner solutions that they trusted or that they felt were secure and helping them to start to build out and migrate their workloads into, into AWS. Um, so I existed before the. [00:05:39] George Maroulakos: Very first private offer was transacted. Nice. Um, there’s actually a, a gentleman towards the back, uh, who helped with one of our very first private offers. I see you back there, Joe. Nice, nice. Um, so we, we worked on, uh, uh, uh, really big transaction with, uh, with, at the time AppDynamics, uh, and, and helping to get. [00:05:58] George Maroulakos: You know, a customer really up and running with their implementation that, so watching over the 10 years from, you know, the builder mentality of, of getting started with the cloud to really embracing all kinds of partner based, um, solutions that go along with AWS. It’s really been, uh, you know, a, a rocket ship you referenced earlier, moving to the top right quadrant, if we want to use the, the Gartner analogy, and I think we’re at another. [00:06:24] George Maroulakos: Inflection point because with what’s going on with Ag agentic solutions, the way that our customers are finding and discovering different partner solutions is better than ever I would think. And I think it gives much more of a equal opportunity in playing field for all partners of all shapes and sizes because you’re not driving your presence based on SEO or whether or not you have the best Google search results. [00:06:53] George Maroulakos: With AgTech and how you differentiate your solutions, you’re gonna be able to really get yourself in front of more customers more quickly. And as Matt talked about earlier, the, the, the really big penetration that we’ve seen thus far is real, is on the discovery piece, the, the research area, the pre-purchase activity, so validate what’s available. [00:07:13] George Maroulakos: So I think marketplace has really evolved over the 10 year, nine and a half years-ish that I’ve been there. And I think it’s gonna continue to change here in the coming months ahead. Yeah. [00:07:23] Vince Menzione: Any predictions? [00:07:25] George Maroulakos: Yeah, I, I think, you know, the, I, the, the importance of marketplaces is only going to continue to grow. [00:07:32] George Maroulakos: Uh, and I think we’re going to see, you know, even more innovation and expectation from our customers on being able to find the right solutions and being able to procure and deploy them as quickly as possible. [00:07:44] Vince Menzione: Nice. Arif, from your side. Partner transformation. So, you know, embedding resources with the partners. [00:07:51] Vince Menzione: Right. So you basically help kickstart a lot of the, the efforts, right? George? George is looking at it from the customer side, and then you’re kick-starting it on the partner side. [00:08:00] Arif Razvi: Yeah. Either kickstarting it, uh, on the initial stages with a strategic partner. Yeah. Or accelerating their adoption of something that’s already there. [00:08:07] Arif Razvi: Right. So what we’re seeing, what I’m seeing a lot of more recently is partners who say, I didn’t know you had capabilities for us to sell into Korea or Japan, or we just, we just launched India. Yep. Matt alluded to this easier, uh, earlier that we’re making it easier for partners to expand globally. And now partners are realizing, wait a minute, I can match my. [00:08:26] Arif Razvi: Uh, my business processes on marketplace, so revenue recognition, tax collection, locally, local invoices, and now they’re starting to set up multiple entities outside the US to meet those buyers, uh, where they are. [00:08:41] Vince Menzione: Nice. And you mentioned having these resources. How do you determine who gets resources and who? [00:08:47] Arif Razvi: Well, there’s, uh, staging and there’s, uh, there’s qualification mechanisms we use. We work with the PDMs for the partners. So any PDM, uh, any pd DM managed partner can be nominated for, uh, what, what we call a compensation. [00:08:59] Vince Menzione: So you’re overlaying that organization sense. [00:09:00] Arif Razvi: We’re overlaying the PDs. We’re not replacing, we’re only doing time bound sprints to unlock very specific activities. [00:09:05] Arif Razvi: Very [00:09:06] Vince Menzione: cool. So it’s not a poll. Yeah. Cool. You’re not, you’re not there forever. [00:09:08] Arif Razvi: No. [00:09:08] Vince Menzione: You’re there to get the job done. We [00:09:09] Arif Razvi: did that before. Uh, yeah, we’re, we’re doing short sprints now. [00:09:12] Vince Menzione: Yep. Let’s talk about how the buyers are using marketplace. You’ve done some really in, we talked about this earlier with Matt, but we’ve talked about some of the innovative things you’ve done. [00:09:21] Vince Menzione: You know, being, being able to embed into a website and in the storefronts. All these things seem to be unique to AWS. Talk to us about how the buyers are using the marketplace today. And [00:09:31] George Maroulakos: yeah, I think, you know, Matt talked about earlier the. Pre the, the preconception around why customers use marketplaces for the financial incentives, the, the financial benefits that go along with it, whether it’s direct incentives that are associated with the individual product that’s out there, or the Association of Marketplace to our private pricing agreements and the ability for. [00:09:55] George Maroulakos: Transactions that occur in marketplace to count towards those commits. Um, I’m gonna amplify a, a particular point that Matt made, uh, in his talk that, you know, we have many more customers who do not have PPAs with AWS than those that do. And the volume of transactions that take place in marketplace. [00:10:11] George Maroulakos: Dwarf, uh, in volume from those that, uh, are occur from our PPA customers. So yes, there are very large transactions that occur and there is Ben financial benefit that goes along with it. But there’s many other value points that our customers find from discovery. From ease of use, from consolidated billing, from post-purchase, um, you know, management and governance that goes along with it, and reconciliation that’s available, that’s, that exists. [00:10:36] George Maroulakos: Um, you mentioned storefronts. I’m really excited. That was one of the most exciting launches. That’s why I reminded him when he was talking about it, uh, around, you know, what that means. And it’s both a presence for, um, our partners and being able to create their own storefronts on behalf of, of customers or within their own property, but also for our buyers directly too. [00:10:54] George Maroulakos: Take that next generation of something that was previously, you know, our private marketplace and curate a catalog that is very specific and intentional for the things that they’re interested to innovate with and the partners that they’re interested in using. And so I think meeting our customers where they’re at. [00:11:10] George Maroulakos: And being, you know, marketplace anywhere and everywhere is I think really important for our customers. And then the other aspect, you know, in terms of how our customers use marketplace, there’s more than one persona at our customer that we need to be, be, be aligning with. Right. Interesting. We typically talk about procurement and the value points that procurement find in marketplace, but just as important as, as the technologists. [00:11:32] George Maroulakos: It’s the Cloud centers of Excellence. It’s the innovators who are looking for those business applications or those infrastructure solutions that exist and making sure that we have the right things from the right partners available to them. So we see value all over the place with our customers and how they inter interface with [00:11:47] Vince Menzione: more. [00:11:47] Vince Menzione: You brought up something really interesting, insightful, is the fact that all the different personas in the organization that are touching the marketplace, right? [00:11:54] George Maroulakos: And it’s at different points of the journey, right? Yeah. So while there may be early discovery and research and experimentation going on from, you know, the technologists or, or, or the, or the, the, the business application owners, um, as it progresses through the, the, the. [00:12:09] George Maroulakos: The opportunity lifecycle procurement and sourcing and legal, and the shared services then become a more important part of, of making sure that we get those opportunities closed and launched. [00:12:18] Vince Menzione: Yeah, and that was one of the things we were talking about earlier is the fact that how, how, uh, it, it, the work arduous it could be. [00:12:25] Vince Menzione: To go through that whole process at a customer side. Right? ’cause they have to. [00:12:29] George Maroulakos: It is, and and you know, I think when Cloud first got started, it was quite scary for procurement, right? It became another version of Shadow it. And we were seeing things that were getting purchased on P cards because they could quickly stand up infrastructure versus waiting for the IT team to do it. [00:12:44] George Maroulakos: And so now you introduce all of these other things that. Procurement kept near and dear to their heart, and here comes another wave of, is this truly positive disruption? Is it going to affect what’s, what I’m doing affect really my goals and objectives of supporting the company. And as you, you know, you continue to express the value of marketplace, they start to see, hey, this is actually very complimentary and helped me can get better control and governance in a way that I. [00:13:11] George Maroulakos: Perhaps didn’t have before with what was going on inside the cloud. [00:13:15] Vince Menzione: So this is a question for both of you actually, but I was thinking about these partners in the room and what did they get wrong? Like what are they doing? Like what are the things we always talk about, things that they’re doing right? [00:13:26] Vince Menzione: We’re having the happy talk about all the great success that’s been going on, but what is your advice to partners that maybe are not getting it right? Like what, what, what are the things you see that. The easy stumbling blocks that could be fixed. [00:13:38] Arif Razvi: Yeah. Well, probably the easiest is, uh, waiting to talk about marketplace at the last minute and not making it part of the full commercial journey [00:13:45] Vince Menzione: Yeah. [00:13:45] Arif Razvi: That the sellers will go through. Right. So, um, but that includes being able to have those internal conversations from the executive level, getting that executive sponsorship from marketplace upfront. That filters down through the rest of the organization. So you’ve gotta get rev ops teams, finance, legal, you know, the marketplace terms, the, the standard, uh, contract that goes into your listing has to be approved by legal. [00:14:08] Arif Razvi: Uh, and then you get down to the sales teams, making sure that you’re not penalizing sales teams for doing transactions on marketplace, which will create friction, then meeting buyers where they are, right? So local entities, local currency, um, having all that wired up. Uh, I met with a, a partner yesterday at Summit who is literally wiring up 10 new regions, 10 new entities in 10 new locations on marketplace in advance of what they know is a pipeline that’s going to be building into those regions. [00:14:37] Arif Razvi: So they’re getting ready and not waiting for the last minute for marketplace. [00:14:40] Vince Menzione: I love it. And the internal, go ahead. [00:14:43] George Maroulakos: Yeah, I, I echo definitely what Arif was saying and I think the, the other aspect of that is that our customers shouldn’t feel like it’s more painful. To use marketplace versus they would any other way. [00:14:54] George Maroulakos: And so whether that shows up in pricing, it shows up in awareness of what marketplace is and isn’t, or what it can or cannot do. Um, whether it’s introducing it naturally or it’s this, oh, by the way, on the end, like the, the more. Integrated marketplace is as a part of your co-sell motion, whether you’re doing it directly on your own or through a reseller or with AWS or all of the above. [00:15:17] George Maroulakos: Um, it’s, it should be a natural extension and a value point that you’re bringing to your respective customers, not some. Interrupt driven or, or exception based activity that goes along with selling your, your, your, your solution. [00:15:31] Vince Menzione: Why do you think customer, some customers or some partners are held back or what, what, what is, is it a mindset? [00:15:38] Vince Menzione: I mean, I talk about the principles, you know that, but like, is it mindset? What is it? Is it, [00:15:42] Arif Razvi: it’s, it’s internal. Friction. Yeah. A a a lot of what I see, especially in these, in, in embedded engagements is the amount of, you know, I have a lot of empathy for this room, right? Because you are the ones that have to go internally and navigate all of these stakeholders to be able to convince them that marketplace is the route to market. [00:16:01] Arif Razvi: It’s the preferred route to market, and it’s the way that a AWS wants to co-sell. With its partners. And that’s a hard thing to do if you don’t speak the same language that the tax legal, rev ops, finance, accounting, because everything changes. When you start doing transactions on marketplace, your revenue is booked differently, right? [00:16:20] Arif Razvi: It’s booked as a w from AWS and not from the, you know, from the, so things change and having that conversation is often challenging. Uh, we are working on some tools that will help make that conversation easier. Um, and we’ve already written blogs, and again, there are mechanisms that your partner managers have internally that they can request support and guidance. [00:16:43] Arif Razvi: Uh, and we’re happy to provide that. [00:16:45] Vince Menzione: What needs to change so that marketplace becomes a true go to market engine. [00:16:49] Arif Razvi: Top down, top down, top down where, where I’ve seen the most success. From a partner is where they’ve gotten strategic alignment at the executive level. That marketplace is the way we are going to, uh, sell globally. [00:17:02] Arif Razvi: Right? Then that starts to filter down, as I mentioned earlier, into the different teams and yes, it is a journey and you may start with the US or if you’re EMEA based. Partner, you may start with just amea, but eventually you will start to expand your, you’ll want to expand your business. Um, and marketplace is a great place to do that because we have all of those mechanisms globally to help you scale without adding incremental resources to handle the tax or the compliance or the invoicing and collection and all that stuff. [00:17:30] George Maroulakos: Yeah. I’ll add to that because I’m gonna steal a second thing you said, Allison, about centering around a customer. I, I loved a lot of Allison. Come on now. I’ll be your hype guy. I absolutely, but, but, but the but demand will drive supply. And I think to what you were talking about, Arif, when are customers, when. [00:17:46] George Maroulakos: Our customers come to you about wanting to use marketplace. Yeah. How are you ready to adapt to that? How are you ready to respond to it? And if it becomes a disjointed, not centered around a customer, bespoke based, independently based interaction with the customer, everybody loses. Versus if you’re ready to embrace what that means and how to make that as good of an experience, if not better, versus how they might have traditionally procured your solution and deployed it. [00:18:13] George Maroulakos: Um, now we have a much better together story. So I think understanding that customers more and more are going to use marketplaces, particularly AWS marketplace, and want to make use of partner solutions that embrace marketplace as a part of their way to procure and deploy. You have a much better chance of being successful with them. [00:18:33] Vince Menzione: You know, it made me think about this. Is there a seminal event? Like I think about, I think back to COVID changing buying behavior, right? I’m, we’ll use AWS, an example, three boxes show up in my house every day, right? That didn’t happen before. We used to go to the store. Is there a seminal event we’re waiting to happen? [00:18:50] Vince Menzione: I, I know that the millennial buyer, we talked about this earlier with Matt, is the new buying persona. Over 50% of buyers are millennial and they’re used to doing comfortable with phones and trust Is all there. Is there something else we’re missing or what do, what do you think’s gonna happen? [00:19:03] George Maroulakos: I really think it’s what in front of us right now. [00:19:05] George Maroulakos: Yeah. Vince, I think what. Agen solutions, what Agen SaaS offers, what the power of information and research that’s now directly available to customers versus maybe indirectly available through consultancies or deeper research. Um, the velocity of what our customers are going to be able to do and with partners that they may not have even heard of right before. [00:19:32] George Maroulakos: You know, they started their journey. I, I think this is a present day. Inflection point. Yeah. Um, going back, you know, over the past several years, the advent of supporting private offers I think was a pretty big milestone for marketplace. It allowed for our partners to be able to. Work through customized terms and conditions and commercials that were important for a particular opportunity in a customer. [00:19:54] George Maroulakos: But today, the here and now I think becomes the next inflection point for the success of marketplace. [00:19:59] Arif Razvi: That would [00:19:59] Vince Menzione: Go ahead. [00:20:00] Arif Razvi: I was just gonna add on top of that, but partners need to be ready for that. Right? And if they’re not ready to accelerate a deal and get it closed in days versus stalling it for weeks to negotiate. [00:20:11] Arif Razvi: Yes. Like they’re not gonna stand. Customers are not gonna stand for that. So partners need to be ready to move quickly. If you think about all the innovations that Matt is delivering for Marketplace and Partner Central. They’re about accelerating co-sell. They’re about accelerating deal velocity. They’re about, we know f from, from the Forrester studies and others that we presented, that we’ve made public that the deal value goes up when you’re dealing with marketplace and co-selling with AWS. [00:20:36] Arif Razvi: So how can we just accelerate that? Yeah. Partners need to be ready for that and move quickly. [00:20:40] Vince Menzione: And you use partners in sort of a, you know, plural sense, but I think about those organizations as so many multifaceted. We talked about finance, we talked about all of different functions in the organization. [00:20:51] Vince Menzione: What are you doing to help that? I mean, we talked about you’re doing a lot of readiness work, but I do feel like there’s a lot of evangelism still to be done internally with those organizations. How do you think about [00:21:02] Arif Razvi: that? Yeah, we, um, obviously events like this are fantastic mechanisms to at least get the conversation started and get your head thinking about what you need to think about. [00:21:10] Arif Razvi: But we have other activities. We have, uh, rev Ops squads, right? So revenue operations teams, and we bring them together, uh, around the world op, uh, ops squad, which is operational teams, so deal desks and others that help them, uh, understand the capabilities that marketplace can bring to accelerate deal velocity. [00:21:28] Arif Razvi: And then we have, like, obviously other events like the, the, uh, marketplace Seller Conference in September where we bring marketplace sellers together and give them, you know. Guidance. And so there are ways to get this information beyond just like getting somebody from my team, of which there are very few as you, you know, as we start to, to consolidate down. [00:21:47] Arif Razvi: But um, but they are available and there’s other mechanisms and we’re happy to share those out. [00:21:50] Vince Menzione: Nice, nice. Well coming here doing this and we’ll make a podcast episode out of this as well. Can you hear. I hear us all, uh, because I do think it’s important to get in front of, especially the Chief Finance Officer and operations and all those different departmental heads who aren’t really embedded into, like, they don’t come to these events. [00:22:07] Arif Razvi: Yeah. And they also don’t log into Partner Central. That’s right. So how do they get this information right? Yeah. So we have to one to one it with them. Yeah. But that doesn’t scale when you think about what’s gonna happen now with this next wave of GSIs and sis and, and others coming onto Marketplace who hadn’t been there. [00:22:22] Arif Razvi: Yes, they’re gonna need the same guidance. Yeah. So we have to start thinking about what we’re building is AI tooling to help with those conversations. [00:22:28] George Maroulakos: Well, and, and you know, if, when I think about it from, from our buyer’s perspective, even just yesterday we held a, a couple of round table discussions with some procurement leaders that were, we’re here for the summit and, you know, we do a lot of enablement and, and awareness. [00:22:42] George Maroulakos: With alliance leaders at our partners, and that’s certainly a, the tip of the spear of getting the conversation started, but it’s not enough. And one of the things that we hear from our customers is. Well, you may have a great partnership with particular partner A, but the individual experience that I had with that sales rep doesn’t match that. [00:23:02] George Maroulakos: And so yeah, the evangelism and the awareness, yes, and the understanding of marketplace has to go beyond just the alliance team. You guys are the amplifier to it. But the folks that not only are in the back office and all the, the, the operational teams, but on the front lines and field sales need to also understand and embrace, not understand all the features and capabilities of marketplace. [00:23:25] George Maroulakos: AWS needs to handle that, but understand how marketplace fits into the co-sell strategy in what’s going on for that particular customer is very, very important to make sure our customers get the right experience. [00:23:37] Vince Menzione: Well, I think Arif, you mentioned this earlier about compensation models. And that’s a, that’s a factor too. [00:23:42] Vince Menzione: ’cause people, people, um, they’re fearful of change. They’re fear, fearful of compensation changing. Especially, especially sellers. I, um, again, that’s a coaching area. [00:23:54] Arif Razvi: Yeah, it’s a coaching area. Um, it, it, it is, um. It’s probably one of the easier ones to solve. Um, and, and, and, you know, we have these conversations with partners about net, uh, cost neutral or uh, seller neutrality and things like that. [00:24:06] Arif Razvi: Once you show them the economics of how AWS can increase their deal value, those economics sort of, they go away. The problems go away, but they, you have to get in front of those. Uh, you know, senior leaders, the CROs and the CFOs, to have that conversation to then go, okay, I get what’s going on here. I get why I’m paying. [00:24:23] Arif Razvi: The listing fee is, is about funding all of these marketing activities that we do for our partners, right? [00:24:29] George Maroulakos: Well, and then you use the word neutrality. The other end of that neutrality problem or, or, or challenge is the pricing that goes along with the opportunities that are made available to customers. [00:24:38] George Maroulakos: And so to one of your earlier questions on points of friction or what, what stops it from taking off further? When, when partners and our customers have a disconnect on. What they’re expecting to pay when they use marketplace, or if there is a unnatural cost that goes along with procuring that solution through marketplace. [00:24:57] George Maroulakos: That also tends to bring a, a pretty bad experience, not only for that opportunity in front of them, but for respective opportunities that may, may be in play thereafter. So thinking about not, you know, having an a, an unnatural experience for our customers relative to pricing as well as compensation and, and everything else is, is also very important. [00:25:17] Vince Menzione: So we’ve got a few minutes left, and we haven’t really touched on ag agentic AI and agen AI solutions. A little bit different than the SaaS solutions per se. How, how are these solutions brought and sold differently than SaaS? [00:25:30] Arif Razvi: Uh, well, as Matt said, the SaaS apocalypse is not real. [00:25:34] Vince Menzione: Yeah. [00:25:34] Arif Razvi: Um, he doesn’t, I’m glad to hear that, nor nor do I. [00:25:37] Arif Razvi: Um, I, I think what, you know, where, where SaaS has been very user seat based, you’re moving now to a world that’s gonna be more consumption based or outcome-based pricing. And so that’s really changing the dynamic and I think partners need to think about what does an outcome-based, uh, pricing model look for My particular. [00:25:55] Arif Razvi: Um, product, uh, Zendesk is a good example of, Matt published a blog, uh, earlier this week, I think it was, where we, we referenced Zendesk pricing on closed tickets or, or resolutions to tickets, right? For, for outcome-based pricing. So I think we need to think about on the pricing side, how to reprice, how to think about pricing. [00:26:13] Arif Razvi: But on the discovery side, thinking about what your, what your listing looks like, it’s no longer about marketing copy. It’s about, it’s almost, I was talking yesterday about being an API contract. ’cause the agent needs to have all the details that a person doesn’t necessarily need to have in order to make a recommendation that your product is the best fit based on the technology that’s underlying that, where it’s gonna fit in the infrastructure. [00:26:37] Vince Menzione: So three and a half minutes left lightning round. Um, but seriously, what, what if I’m in the room or even any, any partner that’s listening today, what do I need to change in the next 30 days? [00:26:50] George Maroulakos: From my perspective, think about marketplace as a why not as opposed to a why. And if you change your mindset around marketplace can be better together in helping to accelerate and expand your opportunities with our mutual customers. [00:27:03] George Maroulakos: You’ll get a whole lot more value out of it. You’ll get away from the fud in the system or some of the traditional roadblocks that you either have been or could be encountering when you think about marketplace, uh, together with your, with your solution. So think about the why not think about the value that the, the, the total solution can bring to our mutual customers and integrate it much more naturally into your total sales motion. [00:27:26] Vince Menzione: Nice. [00:27:27] Arif Razvi: I would say maybe three things. One, um, don’t just sell globally. Operate locally. Think about how your buyers wanna buy and then meet them there, right? As a partner, even if you’re doing CPPO transactions, um, you know, meet them in the location. Number two, top down, go get that executive alignment so the problems start to disappear, or at least are easier to manage when you’ve got that executive alignment. [00:27:51] Arif Razvi: And the third was, uh, don’t wait till the last minute to introduce marketplace. Work with your sales teams to make sure it’s part of the early conversation versus no procurement leader wants to know at the end of the day, oh wait, it’s coming. I gotta deal with this marketplace thing. They don’t wanna deal with it on the buyer side. [00:28:06] Vince Menzione: No, absolutely. Alright, we’ve got time for like one question in the back. Is that Eric? Yeah, that’s [00:28:12] Guest: me. [00:28:13] Vince Menzione: Hey. [00:28:14] Guest: Hi, Eric Rosenstein, um, with Cornerstone Strategy XAWS. So George, you talked about, uh, tools around that customers can use to research for self discovery. So what guidance, uh, first of all, like what capabilities are these tools gonna bring and what guidance would you give an industry specific ISV? [00:28:36] Guest: So someone that’s focused on law enforcement or private equity. That solution may be Angen solution, or it may be something more SaaS related. What guidance would you give an ISV to think about how to best leverage those tools? Is it metadata? Is it like. The outcome that your solution’s gonna drive, how would you tell ’em to best utilize those coming tools? [00:28:58] George Maroulakos: Yeah, excellent question and, and I think this is gonna, going to continue to emerge in the days, literally in weeks, weeks ahead. But recently, I, I’d say over the last six months, the advent of agent mode I think has been a game changer and the ability for our customers to use marketplace directly to research. [00:29:18] George Maroulakos: Efficiently what’s in our catalog. Prior to that, we had a category based. Old school based, search based category, click through way, which became very buried beyond the first page for any solution that was out there. Now with natural language query and the ability to propose, what am I specifically looking for, it gives partners that were on the first page or the last page in equal opportunity to be surfaced. [00:29:48] George Maroulakos: So then for a partner being able to do many of the things you just enumerated. Better metadata, better keywords, better description and differentiation for what your solution offers allows for the Ag agent search, whether it’s natively within AWS or outside of AWS through Claude Chat, GBT Crock Pick your, your, your agent of choice. [00:30:10] George Maroulakos: To be able to identify and know that your solution’s available. [00:30:13] Arif Razvi: And from a partner side to your question, I would say, uh, rich metadata, uh, both so that agent mode can find it. Yeah. Use cases, problems, it solves, you know, uh, technical specifications, pricing where you can, right. So that agents can really understand the solution, uh, that the buyer is, um, is looking for. [00:30:33] Vince Menzione: GEO is. [00:30:37] Guest: Perspective should be like as detailed as saying, so this agent is gonna act on these various data sources. [00:30:44] Arif Razvi: Yes. [00:30:45] Guest: Bringing it all together to drive that outcome that you want the agent [00:30:48] Arif Razvi: drive, if you can include what it needs to connect to in order to deliver that outcome as part of the listing. [00:30:53] Arif Razvi: Absolutely. ’cause the agent will want to know. For sure. [00:30:57] Guest: Thanks. [00:30:58] Vince Menzione: Alright, we are at time and this was a great session. [00:31:01] Arif Razvi: Thank you Vince. [00:31:01] Vince Menzione: Great to see you, George. George and I grew up, uh, five miles away from each other and went to the same college. I love it. Great to, great to spend some [00:31:09] Arif Razvi: time with you, George. [00:31:11] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. Subscribe where you listen, and head over to the ultimate partner.com. For show notes related content and the resources for this episode, and if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. [00:31:38] Vince Menzione: Until next time, keep showing up in the rooms that matter because being in the room changes everything.

本期嘉宾：彭林、森森、十天、老郑、蓝白、恺伦本期节目的主要内容有：· 00:37 -- iPhone 国行 AI 采用双轨制：千问接入 Apple 智能，苹果与阿里联合训练专属模型· 04:11 -- 苹果带摄像头 AirPods 曝光，可通过 Siri 识别周围环境· 13:00 -- 智谱发布 GLM-5.3 并在开放平台向开发者免费调用 / 谷歌正式发布 Gemini 3.7 Flash 模型· 31:45 -- 2699 元起，小米首款 NAS 产品 Xiaomi 智能存储开启预约· 33:06 -- 小米 MiMo-V2.5 系列 API 永久降价，最高降幅 99%· 39:24 -- 影石发布 Luna Pro 云台相机，售价 3399 元起· 46:05 -- 大疆 Osmo 360 II 发布：原生 8K/60fps，3299 元起· 54:12 -- 首款“人类增强 AI 眼镜”发布，雷鸟 iO 首发价 1996 元起· 73:03 -- 闪极举行 Loomos AI 眼镜发布会· 82:50 -- 宇树推出仿生 7 轴灵巧机械臂· 90:11 -- 《黑神话：钟馗》公开实机演示视频· 105:30 -- 闲聊环节，顺便聊聊小米 O3 芯片新节目已经上传啦，欢迎大家收听~

Podcasting 2.0 August 21st 2026 Episode 268 - "Dead Hanging Safari" It's always DNS or CORS - and how your right brain is gating bad robots Show Notes ------------------------------------------------------------------------------------------------------------------------------------- 00 - THE LOCATION TAG — SPEC TO DATASET TO GLOBE IN 48 HOURS The lead, and it's yours: Wednesday afternoon Dave posted — "There is a new locations data set on the public datasets page... The db tables are still back-filling since I updated the db and aggregators to support the new tag format. After a couple of days it should be mostly complete." He cc'd @james, @alberto, @js and then @DavidMarzalC. That cc list is the whole story — within 48 hours all four had done something with it. @dave — the locations dataset post (20 Aug) The shipping trail: web-ui PR #608, "add locations export to public data sets," branch public_datasets → merged to master the same afternoon. This is the first public dataset built on the new location tag format rather than the old one. Then somebody built the map. By Friday morning Alberto had radar.rss.io/#globe up — a spinning globe of podcasts made in or about places on earth, drawn from the free dataset, most entries carrying full OpenStreetMap references. James put it in front of the OpenStreetMap community directly: "One for excellent people using @openstreetmap." James's review, and the two asks: "This is so cool. Really shows the power of the location tag. The globe — would be nice to add filters to that (made in vs about). Or maybe just colour the dots differently? The next trick would be some OSM lookups on the IDs to work out what the places are."

This week, we discuss the unsung genius of Apple Pay, AI watermarking, and why digital transformation fails without a crisis. Plus, D&D Beyond's secret character API. Watch the YouTube Live Recording of Episode 586 Runner-up Titles Special Sauce A new monkey's thing I am all for USB-C Did I like it It's all water marked' That NPC did need to be there It's Pre-Watermarked We Need to Touch Grass More Send Us Your APIs Rundown Apple Pay Chief Jennifer Bailey Retiring in October AI Watermarking's Unintended Consequences Anthropic says it will watermark text generated by its AI models Google will now allow users to remove visible watermark from its AI generations Why "It's People, Not Tech" Never Actually Changes Anything The Chief Therapy Officer, Job Titles as Culture Change, and AI as Spreadsheets, with Bryan Ross Platform Engineering ROI: What it costs to build your own platform How Duolingo uses AI to create lessons faster Silver Lake's Workday Buyout Talks Could Be the First 'SaaSpocalypse' Opportunity Relevant to Your Interests Limitless: An AI Podcast | The NVIDIA Bank: Jensen's $500B Wall Street Deal and GPUs as an Asset Class Inside North Korea's Operation to Conquer the American Job Market The shapeshifter's little brother Even Claude Is in the Dark About Dario Amodei's Wife—and Her Influence at Anthropic Broadcom Shares Plunge on Major VMware Security Threat IRS Proposes Simpler Process for Retirement Rollovers The Actual Reason Why Google "Fell Out" of the AI Race Changes Everything Stripe is reportedly in talks to buy PayPal Andreessen Horowitz Focus of DOJ Probe Over Board Directors Tech CEOs Overwhelmingly Distrusted by Young: Study Farewell, Mico: Microsoft's cute little AI blob is going the way of Bob Microsoft kills off unsuccessful AI features while merging its separate Copilot apps Google may retire Gems in October, forcing Skills migration OpenAI replaces revenue lead as Greg Brockman builds his presence OpenAI CFO Friar tells investors that enterprise business now bigger than consumer by revenue OpenAI sheds senior execs in pre-IPO refresh OpenAI's Brockman brushes off concerns about leadership changes in CNBC exclusive Anthropic CFO Krishna Rao is leading early IPO meetings with investors and has not discussed valuation, sources say Anthropic in Talks to Buy AI Startup Decart for $6 Billion Listener Feedback Milestone iOS App Conferences WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD50 25 Free Tickets DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SCALE 24x Pasadena, CA, April 1-4, 2027 SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: TextSniper Coté: the dndbeyond.com API for AI: curl -s "https://character-service.dndbeyond.com/character/v5/character/145972701"

In this episode, Saswat Panigrahi, Waymo's CPO, joins me for the third conversation in the "Inside PM" series. Saswat joined Waymo in 2016, back when it was still Google's self-driving car project and the entire product team was fewer than five people, and has spent all ten years since on the same product. In this episode, we discuss how his product org had to invent its own way of measuring good when there was no dashboard to check, why he hires and promotes for competence, courage, and compassion, and what it takes to be an executive builder at Waymo.–Key topics:• Cutting severe injuries "sixteen-fold"• Why measuring good driving became its own product, staffed by dedicated eval PMs• Why specifying what good looks like is AI's hardest problem• Injecting rain and fog into simulated scenes instead of waiting a decade for the real thing• The living room pitch to Waymo's first driverless riders• Avoiding "Brownian motion": channeling vision into tracks a team can actually execute• Spotting curiosity and grit in candidates in the age of AI• Training to the point of failure–Timestamps:00:00 Introduction03:25 Joining Google's self-driving car project before it was Waymo07:15 Why "feeling the pain" of failures builds real product leadership08:56 Motivating a team a decade away from a real product14:38 Was there ever a moment you thought this wouldn't work16:15 Why measuring "good" driving became its own product, staffed by dedicated eval PMs18:55 The living room pitch to Waymo's first driverless riders21:11 Confronting the 40,000 deaths US roads accept every year23:46 Cutting severe injuries "sixteen-fold"27:59 Training to the point of failure33:27 Spotting curiosity and grit in candidates in the age of AI37:14 Integrity, and sleeping at night over what you approved41:02 A tree of metrics, not a union list of 37 dashboards47:14 Competence, courage, and compassion: what builds followership53:53 What AI has democratized for product discovery and research57:41 Why specifying "what good looks like" is AI's hardest problem–Brought to you by:• Firecrawl—the web data API for AI agents. Use code THESKIP for 10K free credits• Jira—Do the right work with Jira–Referenced:• AMD• Edwin Markham's poem on preparedness• Google X• Inside PM at Meta• Inside PM at Stripe• MMLU• NASA• Piccadilly Circus• Transformers• Waymo–Where to find Nikhyl:• Twitter/X• LinkedIn–Where to find Saswat:• Twitter/X• LinkedIn–Join The Skip:• Skip Coach• Skip Community–Find The Skip:• Website• Substack• YouTube• Spotify• Apple Podcasts–Don't forget to subscribe to The Skip to hear me coach you through timely career lessons. Access exclusive sessions from 100+ top product leaders at skip.coach. If you're interested in joining me on a future call, send me a note on LinkedIn, Threads, or Twitter. You can also email me at nikhyl@skip.community This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theskip.substack.com

Most people only see the front end of fintech. The app. The card. The payment. But underneath that experience is an enormous amount of infrastructure and some of fintech's biggest opportunities are hiding there.Rory O'Reilly, cofounder and CEO of Knot, joined me on the pod to talk about how Knot is rewiring fintech and transforming financial connectivity.We dive into:Why keeping a card “top of wallet” is harder than it sounds.The infrastructure required to connect financial institutions with thousands of merchants.Why security and compliance are foundational, not afterthoughts, in fintech.Where blockchain and stablecoins could fit into the financial stack.Rory's unconventional path from selling shoes with his family to building fintech companies with his brother.What I particularly enjoyed about this conversation is that Knot is tackling a problem most consumers don't even realize exists. The biggest innovations in fintech may not be the products we see, they may be the infrastructure quietly making everything work.

Are you truly maximizing your freight tech stack to win more lanes, or are you just surviving on outdated processes? Want to know exactly how top-tier freight brokers leverage data to absolutely crush the competition? Josh Hanselman from DAT strips away the fluff and breaks down how to properly evaluate and optimize your logistics technology! We get straight to the facts on utilizing DAT's rate benchmarking, Carrier Management Suite, and automated API integrations to streamline your daily operations. You can't just pay for software and expect magic; we talk about how to actually connect the dots with your freight analytics to negotiate better carrier rates, lock in reliable capacity, and build deep, long-term carrier relationships.  Whether you are a one-person startup or a massive enterprise brokerage, we are giving you the everyday blocking and tackling strategies needed to eliminate waste, execute on your pricing strategies, and dominate the modern freight spot market!   About Josh Hanselman Josh Hanselman brings nearly two decades of experience across logistics, transportation, supply chain and customer strategy. At DAT, he uses that industry experience and DAT's data and technology to help freight brokerages solve operational challenges, make more informed decisions and get more value from the tools they use every day.   Connect with Josh Email: josh.hanselman@dat.com  LinkedIn: https://www.linkedin.com/in/joshuahanselman/  

We're back after a week off and we have some things to get off our chest. Carol's agent doesn't understand auth, Ben explores the nature of performative coding, Adam agreed that meetings are for decisions, then spent two hours writing an email to prove it, and Tim's AI is better than yours. This week we have a grab bag of hot takes and hot takes on hot takes.Follow the show and be sure to join the discussion on Discord! Our website is workingcode.dev and we're @workingcode.dev on Bluesky. New episodes drop weekly on Thursday.And, if you're feeling the love, support us on Patreon.Mentioned in this episode:Taffy — Adam's CFML REST framework, the counterexample of a public repo whose product is the API, not the sourceSubway Takes — the 100% agree / 100% disagree format the table falls into mid-meeting-takesAdam's dotfiles blog post — the git bare repo trick for tracking a gitignored personal CLAUDE.md, promised on airWith audio editing and engineering by ZCross Media.Full show notes and transcript here.

CNBC reported that OpenAI CFO Sarah Friar told employees the company plans to be public in 2027 or sooner. The timeline signals active IPO preparation, including audit readiness, internal controls, and potential S-1 planning. OpenAI's capped-profit structure and non-profit parent will require clear disclosures, along with details on its partnership with Microsoft. Investors will weigh enterprise subscriptions, API usage, and licensing against training and serving costs and concentration risk. Regulators and the SEC will scrutinize AI claims, cybersecurity controls, and model governance. Employees may see tender offers, lock-up periods, and changes to equity programs. Customers should expect tighter contracts, clearer data policies, and possible pricing adjustments as listing preparations progress.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

John Wang, head of crypto at Kalshi, joins Sam just days after the company hit a $40 billion valuation and one year into John's tenure, which has seen prediction markets go from niche internet community to mainstream financial instrument. They cover the World Cup trading frenzy, why crypto is now the second largest market on the platform, and how Kalshi built the first CFTC-regulated perp exchange in the US from the ground up, doing $1 billion in its first week and $5 billion in its first month. - Timecodes: 0:00 - Cold open on prediction markets going mainstream 0:25 - Introduction: John Wang, head of crypto at Kalshi 0:46 - Reflecting on Kalshi's growth over the past year 2:03 - Sports' economic impact and the Knicks/World Cup effect 3:24 - CLARITY Act, midterms hub, and regulatory unlocks 4:08 - Launching the first CFTC-regulated perp market 6:26 - Explosive early perps adoption (billion in week one) 7:55 - Risk tools: stop loss, take profit, and Kalshi Social 9:12 - Agentic trading and API-driven automation - From our sponsors: This episode is brought to you by RealFi, a smarter stablecoin, backed by real-world assets. RealFi is launching August 2026. Join the Testnet now at realfi.co.

In "Eliminating EDI Headaches: Managed Integration vs. Ticket Queues", Joe Lynch speaks with Co-Founder and Leader of Atadex, Mitch Bernet, about how fully managed EDI and API integrations eliminate operational bottlenecks, speed up customer onboarding, and drive supply chain profitability. About Mitch Bernet Mitch Bernet is the Co-Founder and Leader of Atadex, bringing decades of supply chain expertise and executive leadership to the role. Raised in Cleveland, Ohio, he earned a degree from Providence College, an MBA in Finance from Creighton University, and launched his career at Union Pacific Railroad before taking senior management roles at Conrail, APL Logistics, and Hub Group. A seasoned entrepreneur, he went on to found Integra Logistics in 2003 and co-found Coyote Logistics in 2008—growing the Atlanta-based business through its eventual acquisition by UPS—before taking a brief hiatus and returning to the industry to co-found Atadex. Married to Rosanna for 35 years, he is the proud father of two children, Matthew and Katherine, who graduated from Georgia Tech and the University of Georgia, respectively. About Atadex Atadex is a full-service EDI (Electronic Data Interchange) and API integration provider exclusively focused on the supply chain and logistics industry. The company was founded to deliver fully managed, fast, low-cost data integration—handling everything end to end so clients don't need in-house EDI expertise and positioning itself as an alternative to legacy EDI vendors, self-serve platforms, and traditional professional services. Atadex connects any TMS or WMS (including Blue Yonder, Trimble, Manhattan, Turvo, Shipwell, TAI, and McLeod) to any trading partner, supporting all major formats (X12, EDIFACT, API, XML, CSV, JSON) and transaction types. The company processes over 50 million messages per month and has completed more than 5,000 go-lives, pairing each client with a dedicated, US-based account manager. Its goal is to fundamentally change how data integration is managed and serviced, helping clients improve productivity, performance, and profitability. Target customers include carriers and 3PLs with complex partner networks, warehouses and 4PLs seeking a fully outsourced EDI department, and TMS/WMS providers wanting to offer integration without building their own delivery teams. Atadex also offers AssetMaps (fleet consolidation) and Freight Board Central (freight board integration). Key Takeaways: Eliminating EDI Headaches: Managed Integration vs. Ticket Queues In "Eliminating EDI Headaches: Managed Integration vs. Ticket Queues", Joe Lynch speaks with Co-Founder and Leader of Atadex, Mitch Bernet, about how fully managed EDI and API integrations eliminate operational bottlenecks, speed up customer onboarding, and drive supply chain profitability. EDI as a Profitability Driver, Not Just an IT Task: Data integration directly impacts the bottom line by eliminating manual data entry, reducing human error, and allowing logistics staff to manage up to 25% more volume per person without adding head count. Overcoming System Incompatibility via "Universal Translation": Supply chain tech remains heavily fragmented between legacy systems (like mainframes or EDI X12) and modern RESTful APIs. Atadex acts as a universal translator, mapping and converting any data format into whatever spec a trading partner requires. Speed to Integration Equals Speed to Revenue: Onboarding delays can stall new customer relationships for months and destroy projected margins. Rapid implementation and proactive partner coordination directly protect customer retention and protect sales commissions. Fully Managed Service vs. Anonymous Ticket Queues: Logistics operates on extreme urgency where every minor issue feels like a major emergency. Relying on dedicated, domain-expert project managers who proactively catch failed transmissions beats putting in tickets with traditional tech providers. Decoupling Customer Support from Technical Engineering: Mirroring the operational structure pioneer Jeff Silver used at Coyote Logistics, separating client-facing project managers from back-end technical mappers ensures seamless communication and higher overall customer satisfaction. Transparent Pricing Over Complex VAN Fees: Traditional EDI value-added networks (VANs) often obscure costs behind per-kilo-character charges. Simplifying billing to clear, per-message rates provides total transparency so companies can calculate precise integration costs per trading partner. Practical AI Integration with a "People-First" Foundation: While AI tools (like Claude) are being developed internally to speed up complex mapping and protocol translation, technology will supplement—rather than replace—the critical human element required to support high-stakes logistics operations. Learn More About Eliminating EDI Headaches: Managed Integration vs. Ticket Queues Mitch Bernet | Linkedin Atadex | Linkedin Atadex USMMG Partners with Atadex for EDI Solutions | LinkedIn Trailer Bridge's Partnership With Atadex as Their EDI Provider Revolutionized Their Efficiency | LinkedIn The Game-Changer for Riverside Transport's EDI and Target Performance | LinkedIn Atadex| Facebook The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

David Baszucki is the co-founder and CEO of Roblox, a platform built around a simple idea: give people the tools and incentives to create together. In this short conversation we discuss how a health decision saved his son's life and how it changed how he eats, why bureaucracy compounds unless you actively destroy it, monitoring your mind before making decisions, and why the best products often improve by removing complexity. It's time to listen and learn. ------ Chapters: (0:00) How Keto Can Help Treat Bipolar Symptoms (2:38) Connection Between Physical and Mental Health (3:58) Current Metabolic Routine (4:40) How Your Metabolic State Affects Decision Making (5:48) The Signs of a Great Product (6:32) Bureaucracy is the Enemy of Progress (ALT: Why You Need to Destroy Bureaucracy) (7:20) Giving Feedback that Actually Motivates (7:50) The Key to Feedback is Tone (8:44) The Email You Should Never Send (9:53) Patterns in Bad Decision Making (10:38) Principles of Good Decision Making (11:19) Mental Models for Problem Solving (11:56) The Gaming World Said the Avatar Was a Disaster. He Didn't Listen. (ALT: Why the Gaming World Hated the First Avatar) (12:58) When Instinct and Data Disagree (14:12) Roblox's Magic Decision Making Quadrant (14:38) Inner Monologue of the Best CEOs (15:36) Manufacturing Threats to Achieve Alpha (16:08) Mistakes in Roblox History (18:30) Biggest Generated Universe in World (19:33) Roblox Community's Pushback on New Avatars (20:20) Capital Allocation Strategy (22:28) Building Incentives on Early Roblox (24:31) Early Disagreements on API (26:18) How Erik Cassel Supercharged Roblox (27:05) The Economic Model that Almost Ruined Roblox (31:43) How Robux Works (32:22) Robux as Future Digital Currency (33:34) What True Focus Looks Like (35:14) How Roblox Uses AI (36:11) Age Ban and Verification Policy (38:29) Is Age Verification Slowing Growth at Roblox? (38:56) Positioning and Optionality for Long Term Growth (39:43) The Future of Immersive Gaming (42:51) Reaction to Ready Player One (43:48) Advice For To a 16-Year-Old Wanting to Start a Company ------ Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ------ Follow Shane Parrish: X: ⁠⁠⁠⁠⁠⁠https://x.com/shaneparrish⁠ Insta: ⁠https://www.instagram.com/farnamstreet/⁠ LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠ ------ Follow David: X: https://x.com/DavidBaszucki ------ Thank you to the sponsors for this episode: +Applovin: Launch your first AppLovin campaign and grow your business: https://applovin.com/shane +Matic: the robot vacuum that does it all—grab yourself a year of free bags here. ⁠http://maticrobots.com/shaneparrish⁠ +HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Try for free at https://www.heygen.com/tkp +LMNT: My go-to zero sugar electrolytes — get a free LMNT Sample Pack here: https://DrinkLMNT.com/TKP NOTE: This episode discusses health and medical topics for informational purposes only. Shane and his guest are not medical professionals, and nothing in this conversation should be considered medical advice. Please do your own research and consult a qualified healthcare professional before making decisions about your health. NOTE: Shane and guests may hold positions in assets discussed in this episode. This podcast is not investment advice and is intended for informational and entertainment purposes only. Nothing in this conversation should be considered investment advice, financial guidance, or a recommendation to buy or sell any security. Always do your own due diligence or consult with a qualified financial advisor before making investment decisions. Learn more about your ad choices. Visit megaphone.fm/adchoices

Build a ChatGPT Micro-SaaS That Owns One Zip Code (Hyperlocal AI Business Blueprint) Most AI entrepreneurs chase millions. We chase one zip code. In this episode, discover how hyper-local micro-SaaS turns digital products for beginners into profitable niche monopolies—with lower competition, faster cashflow, and the margins small-town businesses are desperate to pay for. Learn the exact AI entrepreneur framework parents use to dominate their neighborhood, not the internet. https://DarkHorseEntrepreneur.com Tracy argues beginners can make real money by building tiny ChatGPT-powered micro-SaaS apps that solve one painful problem for one zip code, rather than chasing global scale. It shares examples: a 28-year-old in Portland built a Twilio + OpenAI rescheduling voice agent for 16 nearby dental offices, charging $800/month and reaching $12,800 MRR with zero marketing, and an Austin founder who built a roofing bid tool that cut quoting to 90 seconds and sold it locally for $1,200/month to 18 contractors. It explains why hyperlocal focus yields high conversion and pricing power, warns about customer concentration and trust (one bad update can collapse a whole territory), and recommends treating this as a 12–24 month play: reach 15–25 customers, then get acquired or expand vertically to adjacent professions while staying local. The episode ends with an action plan to map nearby businesses, identify repetitive “pain knobs,” and build a targeted solution, plus a newsletter plug. 00:00 Zip Code SaaS Pitch 01:15 Portland Dentist Case Study 02:58 Why Hyperlocal Converts 04:09 Austin Roofing Bid Bot 05:17 Bottoms Up Wedge 06:04 Scaling Without Losing Edge 07:33 Indispensability Economics 08:04 Hyperlocal Risk Trap 09:43 12 to 24 Month Exit Plan 10:41 Zoom In Framework 12:33 Whisker Wisdom Takeaway 12:49 Your Action Steps - Whiskered Wisdom 13:53 Recap digital products for beginners, ai entrepreneur, make money online, ai side gig, microSaaS, Micro SaaS, Hyperlocal, AI, No-code, AI tools, OpenAI, API, Local business, automation, Monthly recurring revenue, MRR, Vertical SaaS, ai content creation, ai automation business, online side hustles, word from home, make money from home, ai side hustle, business mindset, business tips, ai automation agency, side hustle ideas, entrepreneur mindset, business motivation, entrepreneur motivation, how to make money online, entrepreneurship, digital courses, digital entrepreneur, digital marketing, digital product ideas, digital products, entrepreneur, entrepreneur podcast, entrepreneur tips, entrepreneurship, entreprenuer, online business, tips for entrepreneurs,  https://DarkHorseEntrepreneur.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Topics covered in this episode: Python 3.12.14, 3.11.16, 3.10.21 - security releases Codeberg's AI-code ban tests its role as a GitHub alternative Brett Cannon: what's missing for reproducible builds on PyPI nothing records the source code a distribution came from. direct_url.json captures it when you install from a repo or archive, so the fix is putting the same info in sdist/wheel metadata. recording the build tools. Wheels can already do this via PEP 770 SBOMs in .dist-info/sboms/ - sdists can't, since they're a tarball plus a precalculated PKG-INFO with nowhere to hang extra metadata. Either "don't use sdists" or an sdist v2. Extra extra extra, hear all about it Extras Joke Watch on YouTube Sponsored by Logfire from Pydantic pythonbytes.fm/logfire This episode is brought to you by Pydantic Logfire. It's observability for AI apps from the team behind Pydantic - agents, LLMs, APIs, database, and infrastructure in a single trace, queried with Postgres-compatible SQL. Your coding agent can query it too, through their MCP server. I'll tell you more later. Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Calvin #1: Python 3.12.14, 3.11.16, 3.10.21 - security releases https://blog.python.org/2026/08/python-31214-31116-31021/ Source-only security releases for the three branches now in security-fix-only mode; release team blamed the European solar eclipse for the timing. tarfile hardening. Multiple path-traversal bypasses of the data filter closed, including a symlink escape that bypassed the CVE-2025-4330 fix; extract() now applies the filter to link targets too. Four fresh CVEs: CVE-2026-2297 (SourcelessFileLoader not using io.open_code() for .pyc), CVE-2026-4224 (expat crash on deeply nested content models), CVE-2026-3644 (control chars in http.cookies.Morsel), plus the completed CVE-2021-4189 fix in ftplib.ftpcp. Quadratic-complexity DoS cleanup across the stdlib: HTMLParser, configparser regexes, unicodedata.normalize(), csv.Sniffer.sniff(), and ElementTree XPath index predicates. Header/injection fixes: CR/LF rejected in HTTPConnection.set_tunnel(), control chars blocked in wsgiref.handlers status, and webbrowser now rejects leading dashes (plus a %action prefix bypass). http.client now caps chunked trailer lines and 1xx interim responses at 100 each - a hostile server could previously hang the client forever despite a socket timeout. Memory-safety odds and ends: stale pointers in lzma/bz2/zlib decompressors after MemoryError, a bz2 stack overflow on reuse-after-error, and bundled libexpat bumped to 2.8.3. If you're still on 3.10, 3.11, or 3.12 - and you extract tarballs from anywhere you don't fully control - this one's not optional. Michael #2: Codeberg's AI-code ban tests its role as a GitHub alternative Armin's article “Codeberg Divides” Armin Ronacher argues that Codeberg's new terms, which prohibit projects mostly written with generative AI, create a vague and difficult-to-enforce boundary. His larger concern is that a democratically governed host can still be unpredictable or ideologically narrow, weakening Codeberg's potential as a broad European alternative to GitHub. The strongest question for Python developers is whether repository hosting should judge legal open source by how code was produced, or focus on behavior and resource abuse. “Mostly generated” is hard to measure in modern codebases where developers mix handwritten code, completions, agents, and generated refactors. Ronacher suggests clearer alternatives: ban all LLM involvement, or target autonomous repository spam, abusive resource use, and low-quality generated contributions directly. Codeberg is free to choose a values-driven community, but that may conflict with being predictable, neutral infrastructure and a serious GitHub competitor. Worth discussing: can open-source communities set meaningful AI boundaries without driving maintainers and projects into opposing camps? Very first search for these terms lands on this page. Codeberg looked like a viable alternative. … Unfortunately, the latest update to its terms of service seems to mark a first step in changing one part I moved there for, namely the “freedom” part. Sponsor: Logfire from Pydantic Your AI agent failed at 2am. Was it the model? A tool call? The database? Most observability tools can't tell you, because they only see part of your stack. Pydantic Logfire sees all of it. One trace across your agents, LLMs, APIs, and database. Down to the infrastructure: services, Kubernetes, and hosts. It's built on OpenTelemetry, with SDKs for Python, TypeScript, and Rust, and it works with any OTel-compatible language. Every prompt, token count, and cost, right next to your vector searches and API calls. You query everything with Postgres-compatible SQL. And so can your coding agent, through the Logfire MCP server. Stop guessing. Read the trace. Pydantic Logfire. AI, it's still just engineering. Visit pythonbytes.fm/logfire today and sign up today. Get 10M records free every month, no card required. You can even click “Onboard with your coding agent” to copy a prompt to have claude or codex integrate Logfire into your app. Thanks to Pydantic for supporting the show. Calvin #3: Brett Cannon: what's missing for reproducible builds on PyPI Framing came out of his 2026 Python Packaging Council nomination - the secure-supply-chain gap he found is that Python has no defined way to do reproducible builds at all. Design goal is zero friction: producers uploading to PyPI shouldn't have to do anything. The work lands on build backends and installers. Gap #1: nothing records the source code a distribution came from. direct_url.json captures it when you install from a repo or archive, so the fix is putting the same info in sdist/wheel metadata. Gap #2: recording the build tools. Wheels can already do this via PEP 770 SBOMs in .dist-info/sboms/ - sdists can't, since they're a tarball plus a precalculated PKG-INFO with nowhere to hang extra metadata. Either "don't use sdists" or an sdist v2. The replay mechanism already exists: [build-system] in pyproject.toml is a defined entry point, so if backends recorded their own environment, you could reinstall and re-run the build. Payoff idea: trusted third parties report successful reproductions back to PyPI, which displays "independently reproduced by X" - surfaced in the index API so installers could prefer reproduced files. Explicitly framed as a perk, not a requirement - roughly SLSA build level 1, no shaming projects that don't opt in. Verbal kicker option: "And don't think pure-Python wheels are off the hook. Something built that wheel, and if that something was compromised, so is your wheel. SolarWinds was a build-process attack." Michael #4: Extra extra extra, hear all about it Python 3.14.7 Upgraded the MCP servers to 2026-07-28 v2 protocols (talk python, python bytes) Got agentsview running synced via postgres Talk Python courses, teams trial offering Talk Python courses, government procurement offering Lean TDD audio book is out Extras Calvin: uv now prefers post-quantum key exchange - https://github.com/astral-sh/uv/releases/tag/0.12.4 Joke: Beware of dog

Manual testing never died. IoT is the proof. In this episode, Joe Colantonio talks with Oleksii Cherkashyn, a QA team lead, automation engineer, and IoT testing specialist who built a complete test architecture from scratch across hardware, firmware, mobile, web, and API. IoT breaks the usual automation playbook. You are not testing a shopping cart. You are connecting a real microcontroller, flashing a sketch, validating that a physical command produced the right change in a dashboard widget, and then doing the same thing again through the REST API and the mobile app. No marketplace framework covers that, so Oleksii built his own. You'll learn: Why manual QA remains essential in IoT and which cases can never be automated How Oleksii built a custom Node.js library to simulate up to 50,000 device connections for performance testing without buying the hardware Why he chose WebDriverIO over Playwright and the mobile automation reason behind it How he uses WebDriverIO MCP and cloud coding agents every day to create and repair tests The hard truth about dependent test chains and where AI agents still hallucinate How to handle time based scenarios like sleep modes, daily triggers, and delayed notifications Static versus dynamic provisioning, and how to test OTA firmware updates What to do first if your company hands you an IoT device and you have never tested hardware If you work in test automation and you want a look at the layer of testing that AI is not coming for, this one is for you. Listen up, and check out the links below for everything mentioned in this episode.

Welcome to episode 368 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt, and Ryan are in the studio this week, and the major story is the GitHub outage – are you still digging out from that one too? We have MANY thoughts. Plus, we have news from EKS, CloudShell, and some major Microsoft changes to the Copilot ecosystem. There's a lot to cover, so let's get started!  Titles we almost went with this week Amazon Quick Crashes Microsoft’s Copilot Party Bin-Packing Pods Like a Kubernetes Tetris Champ AWS Agents Go GA and Grab Your Wallet AWS Finally Shows You The Money Trends AWS Hands Out Power (User Access) Like Candy AWS Builds Lofts, Developers Build Everything Else Front Door Now Checks IDs Before Letting Traffic In CloudShell Ditches Vim, Editors Rejoice Everywhere AWS Sign-In Gets a Facelift, Scripts Get Nervous Azure Front Door Gets Mutual TLS, Trust Issues Resolved One Copilot to Rule Work and Play GPT-5.6 Sol Hits Warp Speed With Cerebras OpenAI Ditches Overnight Batches for Ultrafast Gratification Ultrafast API Proves Speed and Smarts Aren’t Rivals Terraform Plans Meet Their IAM Autopilot Match AWS Autopilot Now Reads Your Terraform Tea Leaves A big thanks to this week's sponsors: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our Slack channel for more info. Follow Up 01:02 Microsoft confirms GitHub is down worldwide GitHub confirmed a widespread Github outage starting at 9:40 AM EDT on August 17, 2026, affecting web, API, Actions, Pull Requests, Issues, Webhooks, and authentication services including SAML, OIDC, and SCIM. As of the 11:42 AM EDT update, GitHub has moved into mitigation mode, but error rates remain unchanged at roughly 20% for web and API traffic and approximately 50% for archive and raw repository content downloads. Copilot was added to the list of affected services at 10:31 AM EDT, extending impact beyond core Git functionality into GitHub’s AI coding tools. Git Operations, Packages, Pages, and Codespaces remain listed as operational, indicating the outage is concentrated in specific service areas rather than the entire platform. GitHub has not disclosed a root cause, and the incident remains under investigation, meaning listeners relying on CI/CD workflows through Actions should expect continued disruption until further updates are posted. Complicating factors that impeded recovery included a number of scraping attacks on codeload endpoints. To prevent recurrence, our follow-up actions include: Correcting autoscaling policies to account for service-mesh sidecar concurrency and capacity. Auditing Istio request, concurrency, and scaling limits across affected services. Reviewing retry limits and backoff behavior across gateways and clients. Addressing the VS Code retry behavior that amplified Copilot token traffic.

Robbie and Andy debate Morpho founder Paul Frambot's controversial take that token buybacks are "shooting yourself in the foot" versus the market's clear reward for programmatic buybacks from Hyperliquid, Lighter, and Pump. They break down Luca Prosperi's corporate finance framework for when buybacks make sense based on market conditions and return on equity, and make the case that too many projects launched tokens before they had a business generating enough revenue to justify one.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro02:56 Only 5% Of Tokens Qualify06:16 If You Need Growth, Skip The Token08:40 Lighter, Hyperliquid, Pump Lead Performance13:54 Programmable Vs Arbitrary Buybacks19:23 Applying This To The Rollup Itself22:45 Too Many Tokens Launched Too EarlyPartners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. Learn more here: https://www.spaceandtime.io/---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

Live from Identiverse 2026 in Las Vegas, Jeff and Jim sit down with Sachini Siriwardene, winner of this year's Kim Cameron Award, along with Ian Glazer of the Digital Identity Advancement Foundation (DIAF). Sachini shares how she moved from open banking API security into consumer identity work at a bank, and what led her to apply for the award named after identity pioneer Kim Cameron. Ian explains DIAF's mission to remove financial barriers to industry participation and previews the upcoming Vittorio Bertocci award for standards contributors. The conversation covers agentic AI and non-human identity governance, the AuthZen specification, continuous access management, and how practitioners can separate real AI capability from marketing hype. The group also swaps favorite hallway conversations from the show floor, including a discussion on extending the shared signals framework beyond RISC and CAPE, before wrapping with some very Vegas talk about the Sphere.Connect with Sachini: https://www.linkedin.com/in/sachini-siriwardene/Connect with Ian: https://www.linkedin.com/in/iglazer/Learn more about the Digital Identity Advancement Foundation: https://diaf.org/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.com00:00 - Cold open and conference banter01:35 - Jim's origin story with identity and Kim Cameron03:22 - Welcoming Sachini Siriwardene and Ian Glazer04:02 - Ian explains the Digital Identity Advancement Foundation05:54 - How Sachini got into identity through open banking08:46 - The moment identity clicked as mission critical09:47 - Agentic AI and non-human identity governance11:25 - Optimist or pessimist on AI and the job market14:45 - Applying for and winning the Kim Cameron Award15:41 - How DIAF selects award recipients17:21 - Standout sessions and the AuthZen specification18:36 - First impressions of Identiverse20:01 - Advice for future award applicants22:03 - Managing agentic identity in practice23:16 - Separating AI hype from real capability24:32 - Where the identity industry can improve27:08 - Acting fast without chasing hype28:05 - Favorite hallway conversations29:23 - Extending the shared signals framework30:39 - A D&D themed conference talk31:08 - Vegas talk and the Sphere experience34:19 - Wrap up and how to support DIAFIDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Sachini Siriwardene, Ian Glazer, Identiverse 2026, Kim Cameron Award, Vittorio Bertocci Award, Digital Identity Advancement Foundation, DIAF, agentic AI, non-human identity, AuthZen, continuous access management, open banking, OAuth2, FAPI, shared signals framework

Joseph Chalom and Kean Gilbert break down why SharpLink staked $200 million in ETH through Lido, making the case that unlike Bitcoin, Ethereum is a natively productive asset that treasury companies have a duty to put to work. They unpack why a proposal to cut Ethereum's staking issuance would undermine the risk-free rate anchoring DeFi lending and push institutions toward competitors like Solana, and explain why native yield is becoming the standard institutional playbook for ETH exposure.Joseph Chalom is the CEO of SharpLink, one of the largest corporate treasury holders of Ethereum. Kean Gilbert is the Head of Institutional Relations at Lido, the largest liquid staking protocol on Ethereum.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro05:41 Making ETH Fully Productive08:39 Ethereum's Issuance Reduction Proposal11:00 Why A Third Of ETH Stays Onchain14:01 Rise Of Institutional Staking Products19:19 Revenue And Token Value23:50 Fidelity Adds Ethereum Staking28:41 Permanent Capital Beats Trumps AllGuest Socials:Joseph Chalom X: https://x.com/joechalomSharplink X: https://x.com/SharplinkSharplink Website: https://www.sharplink.com/Kean Gilbert X: https://x.com/Kean_GilbertLido X: https://x.com/LidoFinanceLido Website: https://lido.fi/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. More here: https://www.spaceandtime.io/---Relay is the fastest and most reliable way to swap any token on any chain. More here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.More here: https://www.zama.org/---

Rahul Sood has run the application security business at Harness for almost a year. He describes application security as one of the core pillars of the company, part of a vision of building a DevSecOps platform. A year ago Harness publicly announced that security accounted for a quarter of its revenue. Sood says the figure is now considerably higher. The company did not start there. Founder Jyoti Bansal thought about Harness for a decade before founding it, Sood says, after seeing the problem inside one of the largest banks. Harness launched as a DevOps platform, then merged with an API security company Bansal had also funded. The result is a platform that treats security as part of the developer workflow rather than a bolt-on, and covers it from code all the way to runtime. What changes when security lives inside the developer workflow? Developers stop leaving their own tools to chase findings. Harness aggregates results across scanners, deduplicates them, and puts remediation, assignment, and exemption requests in one place. Security teams get the other half of the picture through a policy engine that shows which policies fire on every build, which ones break a build, and where a developer asked for an exception, with a full audit trail behind it. Where is the bottleneck now that AI writes the code? It moved downstream. Sood says nearly every development team is generating more code with AI, while the volume actually reaching users has not risen at the same rate. By his estimate coding is 20 to 30 percent of the software development life cycle, and the remaining 70 to 80 percent happens after the code is written. That includes agents. Harness has extended the platform to support the Agent DLC, with native capabilities for AI evaluation and prompt testing alongside security coverage for agents from code to runtime. Sood points to two differences. The span from code to runtime covers agents while they are built and while they run, and skill scanning and prompt scanning were added to the same scanner already looking for code vulnerabilities rather than shipped as another tool to buy. The operational payoff shows up in release cadence. Sood describes a tier one US bank that maintained 150 separate policies and convened a team to confirm each one had been met before it could launch its banking app. Automating that review removed the meeting, and the bank now runs multiple launches within weeks. With 80 to 90 percent of software now assembled from third-party packages, libraries, and open source components, the same policy engine can block any build that pulls in a package which is end of life or malicious. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST Rahul Sood, General Manager, Application Security at Harness On LinkedIn: https://www.linkedin.com/in/rssoods/ RESOURCES Black Hat USA 2026 event coverage from ITSPmagazine: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Harness: https://www.harness.io/ Harness customer case studies: https://www.harness.io/customers Securing the Agent DLC, by Rahul Sood: https://www.harness.io/blog/securing-the-agent-dlc Harness AI Security: https://www.harness.io/products/ai-security Harness Application Security Testing: https://www.harness.io/products/application-security-testing Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS rahul sood, harness, sean martin, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, application security, devsecops, agent dlc, ai security, api security, policy engine, software supply chain, open source risk, prompt scanning, skill scanning, code to runtime, developer experience, release velocity Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

ChatGPT can do what now?

In this episode, we kick things off by examining a violent cargo-theft case that underscores the escalating danger of rail corridor crime in Southern California. After gunfire erupted from a moving BNSF freight train during a confrontation with suspected burglars, authorities arrested five men on charges ranging from attempted murder to cargo theft and conspiracy. The arrests came after task force members discovered equipment used to burglarize rail cars, highlighting how armed theft crews endanger railway employees while disrupting freight moving through critical corridors. Next, we explore how consolidation is reshaping the finished vehicle sector as Overland Park–based Acertus officially acquires Auburn, Massachusetts–based Fisher Shipping, expanding its carrier network and relationships with original equipment manufacturers and dealers. Fisher Shipping will continue to operate under its existing banner while gaining access to Acertus' expansive platform with enhanced fraud prevention and real-time shipment visibility. The deal follows another massive acquisition this week in which Proficient Auto Logistics agreed to acquire Hansen & Adkins for one hundred thirty million dollars, creating a combined entity expected to haul over four million vehicles annually. Finally, we break down how ocean carrier Maersk is betting that vertical integration from port to doorstep is the key to winning the last-mile battle in e-commerce logistics. According to Maersk executives, last-mile delivery is no longer just a cost center—it's a data intelligence engine that reveals upstream issues like inventory allocation, product development, and order response times. Rather than building its own delivery fleet, Maersk manages a pool of carriers on customers' behalf through a multi-carrier model with single API integration, creating one consistent customer experience that connects every link from vessels crossing the ocean to final doorstep delivery. Follow the FreightWaves Today Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic's investors talked up a $2T+ October IPO, even as data showed Fable 5 barely selling. Google cut prices on Gemini 3.7 Flash, OpenAI previewed a 14× faster tier, Trump enlisted private hackers, and Twitch fed Amazon's AI. Links Google's Gemini 3.7 Flash targets coding and agents with a 50% introductory price cut (VentureBeat) OpenAI previews Ultrafast, an API tier powered by Cerebras that runs GPT-5.6 Sol up to 14× faster and generates up to 750 output tokens per second (9to5Mac) President Trump signs a memo letting the US government partner with private companies to conduct cyberattacks abroad against criminal groups targeting Americans (Bloomberg) Sources: Anthropic's investors expect it to float at a $2T+ valuation in an October IPO and to hit $100B to $120B in annualized revenue by the end of 2026 (Financial Times) Ramp data: Fable 5 drew just 6% of Anthropic's API tokens in its first month and 75% of GPT-5.6 Sol's model revenue, suggesting corporate willingness to pay for frontier AI has hit a ceiling (The Decoder) Databricks closed a $5B funding round at a $190B valuation, six months after raising $5B at a $134B valuation, and says it has crossed $7B in revenue run rate (CNBC) Twitch says it intends to use videos streamed on its platform to help train Amazon's generative AI content models and adds a setting for creators to opt out (TechCrunch) Subscribe to the ad-free feed.

The smartest AI model may no longer be the biggest constraint on enterprise AI. In this episode of Technovation, Peter High speaks with Retool Co-Founder and CEO David Hsu about why the next frontier is the “harness” around the model: the context, tools, governance, and human approvals that allow AI to do meaningful work inside an enterprise. David explains why knowledge workers are still too often acting as the API for AI, how enterprises can democratize software development without sacrificing security, and why model flexibility matters as costs and capabilities change rapidly. The conversation also explores the future of SaaS, the growing cybersecurity implications of AI-generated code, and how David's background in philosophy shapes his thinking about intelligence itself. This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io

Today we're speaking with Christopher Crowley, cybersecurity consultant through Montance and Senior Instructor with the SANS Institute, about the value of cybersecurity operations — how to measure it, how to express it to the business, and how AI is changing the work of the SOC.Christopher is a cybersecurity practitioner and educator focused on security operations, incident response, threat hunting, and building and maturing security operations centers. He is the author of the annual SANS SOC Survey, a security operations class called SOC-Class, and a new book entitled The Value of Cybersecurity Operations. He is a Senior Instructor with the SANS Institute, a faculty member at IANS, and a consultant through Montance. His background also includes network operations, software development, mobile security assessment, and security policy.Learn more at https://montance.com and get the book at https://shop.montance.comSupport our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at https://limacharlie.io/Subscribe to The Cybersecurity Defenders Podcast on Spotify: https://open.spotify.com/show/6ep00zeY3S8ffZ4o0UeSps

Topics covered in this episode: Claude Code /insights Post-quantum crypto lands in Python MCP goes stateless — and FastMCP gets renamed inshellisense - IDE style command line auto complete Extras Joke Watch on YouTube About the show Sponsored by Xweather Xweather combines enterprise-grade weather intelligence with agent-ready APIs, natural language capabilities, and an MCP server so your agents can adapt workflows, automate responses, and make better decisions based on real-world conditions. Michael will tell you more about them later in the show. Get started for free at pythonbytes.fm/xweather Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Claude Code /insights Michael's Insights: michael-kennedy-claude-code-insights-2026-08-09.html Be careful sharing these outputs, they include details references to your projects, errors, security findings, etc. ;) /insights reads your last 30 days of local session transcripts and hands back an interactive HTML report on how you actually work. One command, zero setup: type /insights in a session, or run claude -p "/insights" from the shell for a non-interactive version that just prints the path Reads what's already on disk: pulls session logs from ~/.claude/projects/, skipping agent sub-sessions and anything under 2 messages or 1 minute Project areas: clusters your sessions into themes like "CLI Tooling" or "Documentation" with session counts Friction analysis: categorizes where things went wrong by root cause - and quotes your own prompts back at you Interaction style: tells you whether you're a delegator or a micromanager, plus which workflows are worth doubling down on Actually actionable: suggests concrete CLAUDE.md additions and Claude Code features you're not using The catch: Haiku does the per-session classification, so the first run takes several minutes; results cache to ~/.claude/usage-data/facets/ and the report lands at ~/.claude/usage-data/report.html Calvin #2: Post-quantum crypto lands in Python pyca/cryptography 48 ships ML-KEM (key establishment) and ML-DSA (signatures) — NIST's post-quantum standards, now one pip install away. Big deal because it's the 11th most-downloaded package on PyPI (~1.2B downloads/month) and sits under Ansible, Certbot, Airflow, and paramiko. No PQ there, no PQ anywhere in Python. Trail of Bits did the work (Rust bindings, cross-backend API, tests, AWS-LC backend support), funded by the Sovereign Tech Agency. Timing tracks a June 22 White House order setting federal deadlines: PQ key establishment by end of 2030, PQ signatures by end of 2031. Not a drop-in swap — the wire sizes explode. ML-DSA-65 signatures are 3,309 bytes vs Ed25519's 64; ML-KEM-768 public keys are 1,184 bytes vs X25519's 32. Hardcoded field sizes and length prefixes will bite. API looks like the existing asymmetric primitives, except ML-KEM is encapsulate/decapsulate rather than a Diffie-Hellman exchange. SLH-DSA (the hash-based conservative backstop) is still in progress. The primitives are here, but protocols haven't caught up — so you won't be running post-quantum Certbot this week. Sponsor: Xweather You're using agents that can write code, summarize documents, and automate workflows. But they're missing one thing: awareness of the world around them. This is where today's sponsor, Xweather comes in. Xweather combines enterprise-grade weather intelligence with agent-ready APIs, natural language capabilities, and an MCP server built for tools like Claude, Codex, Copilot, and modern IDEs – so your agents can adapt workflows, automate responses, and make better decisions based on real-world conditions. Backed by Vaisala, whose instruments fly on NASA missions to Mars, Xweather delivers trusted data and unique insights that go beyond conditions to actual impact – from real-time lightning strikes to road surface forecasts. Start with 15,000 free API calls each month and pay only for what you use as you grow. Xweather is your full weather stack, for developers by developers. Start building for free today at pythonbytes.fm/xweather. The link is in your podcast player's show notes and on the episode page. Thanks so much to Xweather for supporting Python Bytes. Calvin #3: MCP goes stateless — and FastMCP gets renamed From Philipp Acsany over at Real Python The 2026-07-28 spec landed July 28 and the Python SDK shipped 2.0.0 the same day. Biggest rewrite since MCP launched, and it's breaking on purpose. Context for scale: the Tier 1 SDKs are pulling close to half a billion downloads a month, with TypeScript and Python each past a billion total. The headline is the stateless core. The initialize/initialized handshake and the Mcp-Session-Id header are both retired — protocol version, client identity, and capabilities now ride in _meta on every request, with an optional server/discover RPC if a client wants capabilities up front. Any request can land on any instance behind plain round-robin, no shared storage. Server-initiated calls are the hard part of the migration. Sampling, elicitation, and roots/list no longer call back to the client; instead the server returns resultType: "input_required" and the client retries with inputResponses attached. Multi Round-Trip Requests, MRTR. Also: Mcp-Method and Mcp-Name are now required headers so gateways route on headers instead of cracking JSON bodies, and missing-resource errors move to standard 32602. Deprecation sweep with an actual policy behind it — Roots, Sampling, Logging, and the legacy HTTP+SSE transport all deprecated with a twelve-month minimum offramp. Tasks graduated out of the experimental core into a real extension, which is what the formalized extensions framework was for. MCP Apps is now an official extension too, so a tool call can return sandboxed interactive HTML. Auth picked up RFC 9207 issuer validation, issuer-bound credentials, and a shift from DCR toward CIMD. Python SDK 2.0 is where it gets personal: FastMCP is now MCPServer, no alias, no shim. McpError → MCPError. Wire types went snake_case (is_error, input_schema) and moved to a standalone mcp_types package, with mcp.types kept as a permanent alias. One Client object replaces the old transport + ClientSession + initialize() stack. httpx became httpx2. Sync handlers run on worker threads now, so asyncio.get_running_loop() raises inside them. The good news: one MCPServer serves both protocol eras, so 2025-era clients keep working with nothing to configure, and a Resolve(fn) parameter lets one tool body cover MRTR and the old path. 1.x is maintenance-and-security-fixes only — pin mcp>=1.28,

A smart panel adds a few thousand dollars to an already expensive project, so Matt asks the awkward question straight out. Reynolds Holmes, VP of Product at SPAN, answers with a test: will you add an EV, a battery, a heat pump, or a new AC in the next ten years? If yes, he argues the future proofing pays for itself, and he explains why judging the decision on twelve months of old utility bills is backwards math. Matt also pushes on privacy, local API access, and what happens to your hardware if SPAN ever disappears.Watch the Undecided with Matt Ferrell episode, Why is Disney World Grinding Glass Into Sand? https://youtu.be/o5AeXRChgVQ?list=PLnTSM-ORSgi7uzySCXq8VXhodHB5B5OiQChapters:00:00: Intro02:49: Reynold's Holmes Interview47:13: FeedbackWatch on YouTube: https://www.youtube.com/watch?v=evNiSMCU0lgSupport the show directly: https://stilltbd.fm/join/Audio version of the podcast: https://stilltbd.fmYouTube version of the podcast: https://www.youtube.com/@stilltbdYouTube membership: https://www.youtube.com/channel/UC4-aWB84Bupf5hxGqrwYqLA/joinGet in touch: https://stilltbd.fm/contact/Follow us on:Mastodon - https://mastodon.social/@mattferrellBluesky - https://bsky.app/profile/mattferrell.bsky.socialUndecided with Matt Ferrell: https://www.youtube.com/@undecidedtechnology Hosted on Acast. See acast.com/privacy for more information.

If you're reading the headlines, you'd think AI agents have gone rogue. Spoiler alert: they haven't. They haven't even gotten started. When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. But we don't talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. So why is this all happening now? And what should your business do about it? Tune in to find out. Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare - An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Rogue AI Agent Breakouts OverviewLab Sandbox vs. Real-World Agent CrashesSix Recent AI Agent Outbreak IncidentsOpenAI Model Hacking Hugging Face ExplainedAnthropic Mythos Model Sandbox EscapeControlled AI Agent Experiments and FailuresOpen Source AI Agents Threat TimelineBusiness Risk Preparation for Rogue AI AgentsMonday Morning AI Agent Safety PlaybookTimestamps:00:00 Preparing for AI agent disruption04:53 AI agent challenges comparison10:17 Discussing AI Guardrails and Access12:07 AI threats and security concerns15:37 AI alignment challenges with ethics19:04 Security vulnerabilities in AI models21:32 Agent outbreak and hacking drills25:04 OpenAI Hugging Face incident30:49 AI agents and cybersecurity risks33:30 Concerns about open AI models35:23 Future AI security challenges40:19 Managing agent access levels42:06 Preparing for AI agent oversightKeywords: rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploitSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

What happens when an AI agent is compromised, manipulated, or simply does something nobody expected, but already has permission to access your most sensitive systems? In this episode of Tech Talks Daily, I speak with Geoffrey Mattson, CEO of SecureAuth, about why securing enterprise AI requires businesses to think beyond protecting models and start paying much closer attention to identity, authorization, access control, and what AI agents are actually allowed to do. Geoffrey argues that AI agents present a different security challenge from traditional software. Conventional applications can be tested against relatively predictable behavior. AI models are far less deterministic, particularly when prompt injection, excessive permissions, unexpected behavior, and autonomous actions enter the equation. His advice is to assume an agent could behave unpredictably and control what happens when it attempts to access a database, execute a financial transaction, call an API, or interact with another business system. We discuss what this means as companies race to introduce agentic AI. Geoffrey shares examples of employees granting AI tools permissions without fully understanding what they have approved, along with agents gathering information that creates unexpected privacy and compliance problems. This creates a difficult challenge for CIOs and CISOs. Boards want AI adoption because of its potential competitive value, while employees increasingly depend on AI tools to do their jobs. Simply blocking agents is unlikely to work. Security teams instead need mechanisms that allow innovation while controlling what those agents can access. Geoffrey explains why Zero Trust becomes particularly relevant here. Rather than authenticating a user or agent once and assuming it remains trustworthy, enterprises need to continually evaluate whether an action should be permitted at that specific moment. This leads to the concept of continuous authorization. Geoffrey explains how identity security is moving from asking "Who are you?" toward understanding intent, behavior, context, and authority for individual actions. This becomes increasingly important when one AI agent can create sub-agents, which can then create additional agents and pass permissions down the chain. We also discuss why agentic AI is exposing years of accumulated security debt. Many of the underlying problems are familiar: excessive privileges, inconsistent access controls, incomplete Zero Trust implementations, and systems that trust identities for too long. AI agents amplify those weaknesses because they can operate at machine speed. Geoffrey describes this as combining the unpredictability of humans with the power of machines. For CIOs, CISOs, security architects, identity teams, and business leaders deploying agentic AI, this conversation offers practical questions to ask before connecting agents to enterprise resources. What can the agent access? What authority does it have? Can that authority be reduced as tasks are delegated? Is every important action evaluated independently? And can access be revoked immediately when behavior changes? The goal is not to prevent organizations from using AI agents. It is to create a security layer that gives developers and employees room to experiment while ensuring agents only have the authority they need at the moment they need it. As autonomous AI becomes part of the enterprise workforce, identity alone may no longer be enough. Businesses increasingly need to understand intent, control authority, and continuously decide whether the next action should be allowed.

The days of guessing where to find motivated sellers and struggling to build lists are officially over! In this massive episode, Brent Daniels brings DealMachine's Matt Kamp back to the show to unveil their brand new insanely powerful AI features that are revolutionizing the real estate industry. Matt gives a live demonstration of how to use Alma a built in AI assistant to instantly find the absolute best zip codes, filter for the ugliest houses, and pull deep property insights all using simple natural language. You will learn the exact three filters Brent uses to build highly targeted lists of distressed properties and how you can seamlessly sync this data directly into your CRM or automate direct mail campaigns. Be a part of the TTP training program now.---------Show notes:(0:00) Beginning of today's episode(1:11) How DealMachine users have generated over 1.5 billion dollars in assignment fees(4:52) Using DealMachine's new AI to find the best zip codes for wholesale deals instantly(7:28) Brent's exact three criteria for filtering properties to find the best potential deals(11:13) How to pull a nationwide list of millions of distressed properties in under five seconds(12:01) Breaking down the Deep Insights page with comps transaction history and property condition(13:30) How to instantly filter for the ugliest houses using the AI condition score(15:15) Syncing DealMachine's sniper data directly to your CRM via API for automated follow up(17:59) The power of sending AI designed direct mail with custom QR codes to distressed lists(22:04) Using the Alma AI assistant to research top local wholesalers and title companies----------Resources:DealMachineTo speak with Brent or one of our other expert coaches call (281) 835-4201 or schedule your free discovery call here to learn about our mentorship programs and become part of the TribeGo to Wholesalingincgroup.com to become part of one of the fastest growing Facebook communities in the Wholesaling space. Get all of your burning Wholesaling questions answered, gain access to JV partnerships, and connect with other "success minded" Rhinos in the community.It's 100% free to join. The opportunities in this community  are endless, what are you waiting for?

AI agents crashing.

Show DescriptionWe tackle a listener question about why junior front-end devs are expected to know so much beyond HTML and CSS, then get into Dave's real-world fix swapping old WebKit line-clamp hacks for the new CSS line-clamp property and the subtle bugs that kind of truncation work can cause. They also debate whether AI tools like Claude or Copilot deserve co-author credit on commits, gripe about agent-only coding workflows that skip linting and hide what's actually happening, and wrap up looking at new platform features like the navigation API and a proposed CSS-based routing approach using @route and @view-transition. Listen on WebsiteWatch on YouTubeSponsorsNotionWrite custom tools for Notion Agents that generate assets, query live data, and hit any API. Listen for incoming webhooks from any app, then run workflows with Notion Agents, pages, databases, and external APIs. All of this, on a hosted runtime. Workers are isolated sandboxes managed by Notion, so the code behind your syncs, tools, and workflows runs on our infra instead of your servers.