Podcasts about Software

Jordi Visser is a veteran macro investor with 30+ years of market experience and the author of the VisserLabs Substack. In this episode, we unpack the Federal Reserve rate pause, the case for a more forward-looking Fed, and how rapidly advancing AI is reshaping inflation vs. deflation expectations. We also explore the scarcity trade across bitcoin, silver, energy, and semiconductors—and how investors can think about positioning as physical constraints collide with abundant software.====================Figure – Enter to win $25k USDC with Democratized Prime while earning ~9% APY! They also have the lowest industry interest rates at 8.91% with 12 month terms! Take out a Bitcoin Backed Loan today and buy more Bitcoin. Check out Figure! Figure Lending LLC dba Figure. Equal Opportunity Lender. NMLS 1717824. Terms and conditions apply.====================This podcast is sponsored by Abra.com. Abra is the secure way to access crypto and crypto based yield and loan products through a separately managed account structure.Learn more at http://www.abra.com.====================0:00 – Intro1:24 – Fed's decision to pause interest rates5:05 – Impact of the next Fed chair7:07 – Time, psychology, & bitcoin10:32 – Pricing assets in gold terms11:40 – AI factories, energy, and compute limits15:29 – Metals runs & investor fear18:37 – Software selloff & big tech risk24:02 – Trimming winners & rotating capital28:44 – Elon, Tesla, & SpaceX34:07 – Jordi's Sunday video preview & AI urgency

North Korean hackers with the Lazarus Group have stolen over $300 million with this Telegram phishing scam. Subscribe to the Blockspace newsletter! Welcome back to The Blockspace Podcast! Today, Taylor Monahan, a security lead at MetaMask, joins us to talk about a highly sophisticated $300M phishing attack linked to North Korea's Lazarus Group. Taylor shares how the Lazarus Group hijacks Telegram accounts to lure victims into fake Zoom meetings and download a Trojan horse malware program. We break down the hackers' strategy, how the malware works, which wallet types are most vulnerable to theft, and what users can do to protect themselves if they have fallen prey to the scam or not. Tune in to learn how to identify these red flags and implement better digital hygiene for your crypto assets. Check out this article for a deep dive into how the malware works; plus, follow Taylor for updates on X and keep track of Laars Group's history of hacks via her Github.  Subscribe to the newsletter! https://newsletter.blockspacemedia.com Notes: * Lazarus Group stole over $300M in the last year. * Attackers hijack Telegram accounts. * Scammers use fake Zoom links to deploy malware. * Malware often bypasses paid antivirus software. * Sandbox architecture on iOS offers more safety. * Software wallets and browser wallets are most vulnerable. * 2FA remains critical for sensitive account access. Timestamps: 00:00 Start 03:51 Telegram attack 11:30 2 Factor Authenticators 13:48 Losses 16:38 Calculating losses 19:08 North Korea 21:52 Malware 24:17 Malware detection 25:16 EDR 27:12 Wallets 34:21 Is verifying addresses enough? 39:28 Wallet malware design 44:11 What do they want? 54:16 Taylor stealing payloads 1:01:49 Steps to protect

This episode of the Fire Sprinkler Podcast is my Conversation with William Clayton from Ember Software. We discuss jumping into the fire protection industry as a software company and the positive feedback they've gained on a short period of time. Enjoy!

This is a recap of the top 10 posts on Hacker News on January 30, 2026. This podcast was generated by wondercraft.ai (00:30): MoltbookOriginal post: https://news.ycombinator.com/item?id=46820360&utm_source=wondercraft_ai(01:56): Antirender: remove the glossy shine on architectural renderingsOriginal post: https://news.ycombinator.com/item?id=46829147&utm_source=wondercraft_ai(03:23): GOG: Linux "the next major frontier" for gaming as it works on a native clientOriginal post: https://news.ycombinator.com/item?id=46821774&utm_source=wondercraft_ai(04:50): OpenClaw – Moltbot Renamed AgainOriginal post: https://news.ycombinator.com/item?id=46820783&utm_source=wondercraft_ai(06:17): Netflix Animation Studios Joins the Blender Development Fund as Corporate PatronOriginal post: https://news.ycombinator.com/item?id=46821134&utm_source=wondercraft_ai(07:44): Tesla's autonomous vehicles are crashing at a rate much higher tha human driversOriginal post: https://news.ycombinator.com/item?id=46822632&utm_source=wondercraft_ai(09:11): How AI assistance impacts the formation of coding skillsOriginal post: https://news.ycombinator.com/item?id=46820924&utm_source=wondercraft_ai(10:38): Microsoft 365 now tracks you in real time?Original post: https://news.ycombinator.com/item?id=46827003&utm_source=wondercraft_ai(12:05): Wisconsin communities signed secrecy deals for billion-dollar data centersOriginal post: https://news.ycombinator.com/item?id=46824098&utm_source=wondercraft_ai(13:31): Two days of oatmeal reduce cholesterol levelOriginal post: https://news.ycombinator.com/item?id=46819809&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Join Simtheory: https://simtheory.aiRegister for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80---The hype train is 2026 knows only Moltbot (RIP Clawdbot). In this episode, we unpack the viral open-source AI assistant that's taken over the internet what it actually does, why everyone's losing their minds, and whether it's worth the $750/day token bills some users are racking up. We dive deep into why locally-run skills and CLI tools are beating computer-use clicking, how smaller models like GPT-5 Mini are crushing it in agentic workflows, and why the real magic is in targeted context - not massive swarms. Plus: Kimi K2.5 drops as a near-Sonnet-level model at 1/10th the price, we debate whether SaaS is dead, and yes – there are TWO Kimi K2.5 diss tracks. One made by Opus pretending to be Kimi. It might just slap?CHAPTERS:0:00 Intro - Still Relevant Tour Update0:48 What is Moltbot? The Viral AI Assistant Explained3:57 Token Bill Shock: $750/Day and Anthropic Bans5:00 The Dream of Digital Coworkers on Mac Minis6:52 Why CLI Tools & Skills Beat Computer-Use Clicking10:57 Why This Way of Working Is Genuinely Exciting14:47 Smaller Models Crushing It: GPT-5 Mini & Targeted Context17:30 Wild Agentic Behavior: Chrome Tab Hijacking & Auto-Retries20:10 Security Architecture: Locked-Down Machines & Enterprise Use24:01 AI Building Its Own Tools On-The-Fly27:08 The Fear & Overwhelm of Rapid Progress29:10 2026: The Year of Agent Workers31:43 The Challenge of Directing AI Work (Everyone's a Manager Now)37:24 Skills Will Take Over: Why MCPs & Atlassian Can't Stop Us40:38 Real-World Use Cases: Doctors, Lawyers & Accountants46:28 Cost Solutions: Build Workflows Around Cheaper Models52:58 Kimi K2.5: Sonnet-Level Performance at 1/10th the Price1:00:55 The "1,500 Tool Calls" Claim: Marketing vs Reality1:05:23 The Kimi K2.5 Diss Tracks (Opus vs Kimi)1:08:08 Demo: Black Hole Simulator & Self-Trolling CRM1:12:55 Is SaaS Dead?1:14:30 BONUS: Full Kimi K2.5 Diss TracksThanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. The future is open source, apparently. xoxo

This is a recap of the top 10 posts on Hacker News on January 29, 2026. This podcast was generated by wondercraft.ai (00:30): Vitamin D and Omega-3 have a larger effect on depression than antidepressantsOriginal post: https://news.ycombinator.com/item?id=46808251&utm_source=wondercraft_ai(01:59): Europe's next-generation weather satellite sends back first imagesOriginal post: https://news.ycombinator.com/item?id=46806773&utm_source=wondercraft_ai(03:28): We can't send mail farther than 500 miles (2002)Original post: https://news.ycombinator.com/item?id=46805665&utm_source=wondercraft_ai(04:57): Claude Code daily benchmarks for degradation trackingOriginal post: https://news.ycombinator.com/item?id=46810282&utm_source=wondercraft_ai(06:26): Project Genie: Experimenting with infinite, interactive worldsOriginal post: https://news.ycombinator.com/item?id=46812933&utm_source=wondercraft_ai(07:55): US cybersecurity chief leaked sensitive government files to ChatGPT: ReportOriginal post: https://news.ycombinator.com/item?id=46812173&utm_source=wondercraft_ai(09:24): Waymo robotaxi hits a child near an elementary school in Santa MonicaOriginal post: https://news.ycombinator.com/item?id=46810401&utm_source=wondercraft_ai(10:53): Mermaid ASCII: Render Mermaid diagrams in your terminalOriginal post: https://news.ycombinator.com/item?id=46804828&utm_source=wondercraft_ai(12:22): County pays $600k to pentesters it arrested for assessing courthouse securityOriginal post: https://news.ycombinator.com/item?id=46814614&utm_source=wondercraft_ai(13:51): PlayStation 2 Recompilation Project Is Absolutely IncredibleOriginal post: https://news.ycombinator.com/item?id=46814743&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Daily Snippet vom 30.01.2026 Der Lärm schreit: "Tech-Aktien sind zu teuer!".

In dieser Folge tauchen Daniel Dippold, EWOR, und Mike Mahlkow tief in ihre persönlichen Produktivitäts-Setups ein. Sie sprechen offen und konkret über die Tools, die ihnen wirklich Zeit sparen und ihren Arbeitsalltag effizienter machen – von E-Mail und Kalender über File Management und Meeting-Transkription bis hin zu Hardware-Tipps. Dabei geht es nicht um Tool-Overload, sondern um die Frage: Wie findet man die richtige Balance und was bringt wirklich Return on Time? Was du aus der Folge mitnimmst: Konkret & ehrlich: Welche Tools Daniel und Mike täglich wirklich nutzen und warum – von Superhuman für E-Mail, Raycast für Mac, cal.com/WimCall für Scheduling, Optiverse für Meeting-Transkription bis zu ClickUp und Google für Projekt- und Wissensmanagement. Prozess statt Hype: Wie man Tools auswählt und woran man erkennt, ob sich das Onboarding und der Wechsel wirklich lohnt. Hardware matters: Warum ein guter Laptop, stabile Kopfhörer, Mikro & Internet genauso produktiv machen wie die beste Software. Ergonomie & Gesundheit: Wie ein Laptopständer und externe Tastatur Nackenproblemen vorbeugen. Tool-Philosophie: Produktivität ist kein Tool-Overload! Es geht um wenige, aber wirkungsvolle Tools – und darum, regelmäßig zu prüfen, was wirklich Zeit spart. Bonus: Ausblick auf AI-Workflows und warum ein bewusster Umgang mit neuen Tools und Automatisierungen immer wichtiger wird. ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch   Daniel Dippold  LinkedIn: https://www.linkedin.com/in/danieldippold  Website: https://www.ewor.com/  Mike Mahlkow LinkedIn: https://www.linkedin.com/in/mikemahlkow/  Website: https://fastgen.com/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/  Kapitel: (00:00:00) Produktivität: Tools und Prinzipien (00:01:30) Superhuman & E-Mail-Produktivität (00:04:42) Snippets, Scheduling und Follow-ups in Superhuman (00:07:15) Inbox Zero & Unified Inbox (00:09:09) Raycast & File-Management auf dem Desktop (00:12:15) Naming, AI-Features und Quick Links in Raycast (00:16:42) Kalender-Tools: cal.com, WimCall & Scheduling-Infrastruktur (00:22:48) Meeting-Transkriptionstools & Automatisierungen (00:26:21) Hardware: Kopfhörer, Mikrofone, Laptops & Setup (00:37:16) Die drei wichtigsten Tools für junge Companies (00:38:27) Project Management: ClickUp, Google Docs & Knowledge Management (00:42:47) Internet & Tastatur als unterschätzte Produktivitätsfaktoren (00:46:07) Ergonomie: Laptopständer & Nackenprobleme (00:47:46) Zeittracking & ROI von Tools (00:49:05) Fazit: Weniger ist mehr & Ausblick auf AI-Tools

Switching studio software seems like a clean reset. But many owners don't realize the real cost is beyond financial—it's time, energy, staff training and member experience friction. You have to go through this process to fully understand it. In Episode 704: The Hidden Costs of Switching Studio Software, Matt Hanton and Caroline Plambeck key in on the essentials. Finding a match: research, meetings, demos and contract reviews with providers Enduring the wait: operational downtime, transferring data, rebuilding automations Managing the unexpected: feature gaps, workarounds and new integrations Retraining your team: new systems, processes and troubleshooting Easing the transition: addressing member questions, issues and frustration Changing software can be a strategic move. Just take your time, do your homework, expect headaches and remember short-term pain, long-term gain. Episode 704 is your heads-up. Catch you there, Lise   PS: Join 2,000+ studio owners who've decided to take control of their studio business and build their freedom empire. Subscribe HERE and join the party! www.studiogrow.co www.linkedin.com/company/studio-growco/  

FreeBSD's Future, 18 years of greytrapping, PF vs Linux firewalls, and more. NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines Powering the Future of FreeBSD Eighteen Years of Greytrapping - Is the Weirdness Finally Paying Off? BSDCan Organisating committee Interview News Roundup How I, a non-developer, read the tutorial you, a developer, wrote for me, a beginner BSD PF versus Linux nftables for firewalls for us Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

MRKT Matrix - Thursday, January 29th S&P 500 falls as Microsoft dives 10%, software stocks tumble (CNBC) Software stocks enter bear market on AI disruption fear with ServiceNow plunging 12% (CNBC) Microsoft Heads for Worst Market Loss Since DeepSeek Hit Nvidia (Bloomberg) Nvidia, Microsoft, Amazon in Talks to Invest Up to $60 Billion in OpenAI (The Information) Elon Musk says Tesla ending Models S and X production, converting Fremont factory lines to make Optimus robots (CNBC) Gen Z is playing the economy like a casino (Axios) U.S. Companies Are Still Slashing Jobs to Reverse Pandemic Hiring Boom (WSJ) Trump Says Deal Is Close With Democrats to Avert Shutdown (WSJ) --- Subscribe to our newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://riskreversalmedia.beehiiv.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ MRKT Matrix by RiskReversal Media is a daily AI powered podcast bringing you the top stories moving financial markets Story curation by RiskReversal, scripts by Perplexity Pro, voice by ElevenLabs

Definir arquitetura não é trivial. Em um mundo de squads autônomos, cloud, microserviços e times cada vez mais distribuídos, quem decide arquitetura hoje? Onde termina a autonomia e começa a governança? No vigésimo episódio do Hipsters.Talks, PAULO SILVEIRA, CVO do Grupo Alura, conversa com CRISTIANO GOMES, fundador e CEO da Elegant Garden, sobre arquitetura de software na era da agilidade, o papel dos tech leads, a volta (repaginada) das áreas de arquitetura e como equilibrar performance, escalabilidade, resiliência e negóciosem cair em burocracia. Uma conversa profunda sobre o pêndulo da tecnologia: do Waterfall ao Ágil, da autonomia total à necessidade de padrões mínimos, e sobre como a arquitetura não desapareceu, ela mudou de lugar. Prepare-se para reflexões práticas, exemplos reais e insights de quem viveu consultoria, grandes corporações e liderança técnica na prática. Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com você!

https://garykaltbaum.com/The opinions you hear on BizTalkRadio, BizTV, or BizTalkPodcasts are those of the hosts, callers, and guests and do not necessarily reflect those of BizTalkRadio, BizTV, or BizTalkPodcasts, its management or advertisers. The information on BizTalkRadio does not constitute a recommendation, offer, or solicitation to buy or sell any product or securities. Please consult a professional before investing. 

Alicia walks through her systematic approach to year-end cleanup, explaining why many business owners' books contain errors that go unnoticed until tax time. She covers the most common trouble spots—from duplicate revenue in undeposited funds to improperly categorized transactions—and demonstrates how to use QuickBooks' built-in tools like the Reclassify feature and Report Options to fix problems at their source rather than just making adjusting journal entries. The episode emphasizes why proper cleanup matters: automations and banking feeds learn from past behavior, so correcting the underlying transactions prevents the same mistakes from recurring year after year.Sponsors(00:00) - Welcome to The Unofficial QuickBooks Accountants Podcast (00:25) - Year-End Cleanup for Tax Time (02:30) - Importance of Accurate Bookkeeping (04:32) - QuickBooks Tools for Cleanup (14:49) - Reconciling Accounts Properly (18:19) - Categorizing Transactions Correctly (20:51) - Adjusting Inventory and Equity (24:42) - Analyzing Reports for Anomalies (26:03) - Conclusion and Class Promotion Alicia's current classes: 1099s in QBO: http://royl.ws/QBO1099?affiliate=5393907, recording with CPEQBO Year-end Cleanup for Taxes: http://royl.ws/yearend?affiliate=5393907, recording with CPEProjects & Job Costing in QBO: http://royl.ws/ProjectCenter?affiliate=5393907, recording with CPESales Tax in QBO: http://royl.ws/SalesTax?affiliate=5393907, recording with CPEPayroll Perfection Bundles (4 QBO Payroll classes - 1099s, Running Payroll, Compliance, and QB Time), Live Feb 3-10: http://royl.ws/payroll-perfection?affiliate=5393907  We want to hear from you!Send your questions and comments to us at unofficialquickbookspodcast@gmail.com.Join our LinkedIn community at https://www.linkedin.com/groups/14630719/Visit our YouTube Channel at https://www.youtube.com/@UnofficialQuickBooksPodcast?sub_confirmation=1 Sign up to Earmark to earn free CPE for listening to this podcasthttps://www.earmark.app/onboarding 

Patrick McKenzie (patio11) walks through a coding session with Claude Code to demonstrate what the fuss is about. The business problem: recovering failed subscription payments that required coordinating APIs across Stripe, Ghost, and email providers, and the surprising experience of watching Claude read documentation, resolve dependency conflicts, and make sensible security choices. The episode offers a pedantic level of detail on why the sharpest technologists use words like “fundamentally transformed” to describe the impact of LLMs on coding.–Full annotated transcript available here: www.complexsystemspodcast.com/claude-code/–Sponsor: FramerBuilding and maintaining marketing websites shouldn't slow down your engineers. Framer gives design and marketing teams an all-in-one platform to ship landing pages, microsites, or full site redesigns instantly—without engineering bottlenecks. Get 30% off Framer Pro at framer.com/complexsystems.–Links:Odd Lots episode with Noah Brier: https://open.spotify.com/episode/2fd3hvYmplEnQzxYZaxPg3?si=ylFxFe3HQ4uivH29uqC_rABits about Money: https://www.bitsaboutmoney.com/ –Timestamps:(00:00) Intro(02:21) All engineering work happens in a business context(03:47) Payment failures briefly taxonomized(08:25) Now follows a conversation with Claude Code(20:37) Sponsor: Framer(21:53) Conversation with Claude Code (continued)(39:07) My final thoughts on this(41:15) Wrap

After Microsoft (MSFT) sold-off following earnings, Jim Thorne says markets are currently favoring hardware as the AI infrastructure buildout continues. However, he makes the case for software to outperform on hardware's back foot. Jim still labels Nvidia (NVDA) as the dominant AI company and favors it moving forward. As for other opportunities, he likes Bitcoin at its current price and expects the cryptocurrency to see more inflows as the gold and silver trade cools. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Software engineering is being transformed by AI faster than any other domain. Unpacking how this transformation is playing out may offer a glimpse into the future Greg Foster's journey into software engineering began in an unlikely place: a Nevada high school where he couldn't land a job at Starbucks. Instead of serving coffee, he taught himself software development. Foster developed what he calls "a lifelong obsession with the craft of software engineering". That obsession evolved from building apps to building for other builders. From Airbnb cofounding Graphite, where he now serves as CTO running what he calls "a dev tools team for the entire industry". Foster is now building the future of software development with Cursor. Foster doesn't just have a front seat to watch how AI is changing software engineering - he gets to shape the change. We caught up and talked about the past, present and future of software engineering. The takeaway? There is a world of difference between vibes and solid foundations for software engineering at scale. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/01/29/foundations-or-vibes-lessons-learned-from-using-ai-in-software-engineering/

This is a recap of the top 10 posts on Hacker News on January 28, 2026. This podcast was generated by wondercraft.ai (00:30): Microsoft forced me to switch to LinuxOriginal post: https://news.ycombinator.com/item?id=46795864&utm_source=wondercraft_ai(01:58): Amazon cuts 16k jobsOriginal post: https://news.ycombinator.com/item?id=46796745&utm_source=wondercraft_ai(03:26): Please don't say mean things about the AI I just invested a billion dollars inOriginal post: https://news.ycombinator.com/item?id=46803356&utm_source=wondercraft_ai(04:54): Somebody used spoofed ADSB signals to raster the meme of JD VanceOriginal post: https://news.ycombinator.com/item?id=46802067&utm_source=wondercraft_ai(06:22): ICE and Palantir: US agents using health data to hunt illegal immigrantsOriginal post: https://news.ycombinator.com/item?id=46794365&utm_source=wondercraft_ai(07:50): Airfoil (2024)Original post: https://news.ycombinator.com/item?id=46795908&utm_source=wondercraft_ai(09:18): ASML staffing changes could result in a net reduction of around 1700 positionsOriginal post: https://news.ycombinator.com/item?id=46792370&utm_source=wondercraft_ai(10:46): Show HN: The HN ArcadeOriginal post: https://news.ycombinator.com/item?id=46793693&utm_source=wondercraft_ai(12:14): UK Government's ‘AI Skills Hub' was delivered by PwC for £4.1MOriginal post: https://news.ycombinator.com/item?id=46803119&utm_source=wondercraft_ai(13:42): Super Monkey Ball ported to a websiteOriginal post: https://news.ycombinator.com/item?id=46789961&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

From Wall Street to Main Street, the latest on the markets and what it means for your money. Updated regularly on weekdays, featuring CNBC expert analysis and sound from top business newsmakers. Anchored and reported by CNBC's Jessica Ettinger. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

We finally have a release date for Forza Horizon 6, and at the same time saw that Game Freak can do more than Pokémon. Steam is facing a massive lawsuit in the UK, will it hold? Plus Sinners sweeps the Oscar noms, Dragon Ball celebrates its 40th in style, and there were more Trailers then you could shake a stick at this past week.

Ian and Aaron talk about being stuck at home due to the weather, major updates to Outro.fm and Faster.dev, an important update to the Laravel New experience, and more.Sponsored by SavvyCal Appointments, Bento, and Laravel Private Cloud.Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - No True Texas? (05:42) - Plow Problems (13:57) - Outro & HelpSpot Update (23:44) - Promotions (26:38) - Laravel AI SDK (31:27) - Faster.dev Update (44:49) - Ian's Got Problems With Amp (58:30) - Laravel New Gradient Links:Yarbo SnowblowerOutroLaracon IndiaLaracon EULaravel AI SDK tweetMatt StensonFaster.devLaravel Boost v2Claude SkillsAmpAmp's Oracle

The Nasdaq falls more than 2% as Microsoft and software move lower. What's driving those declines? We discuss. Then, Meta shares jump after an earnings beat with investors shrugging off concerns about growing capex numbers. Plus, the CEOs of Lazard and Raymond James join the show on the back of earnings with their outlook for M&A and the macro economy. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Wes and Scott talk about building hyper-specific personal software with AI. They explore personal agents, home automation, JSON-as-a-database, and how LLMs unlock fast, custom apps that reduce friction and replace bloated SaaS. Show Notes 00:00 Welcome to Syntax! 01:53 What is personal software (and why it matters) 04:49 Using AI agents to build hyper-specific apps for yourself Clawdbot ClawdHub 13:43 Supercharging your dev workflow with Tailscale 19:06 Privacy when working with LLMs MLX-Audio 21:39 Brought to you by Sentry.io 22:21 Real-world personal app ideas 39:14 Sick Picks + Shameless Plugs Sick Picks Scott: FTPManager Wes: Roku Streaming Stick Shameless Plugs Syntax YouTube Channel Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Dave discusses the results of Ecomcrew's 6th Annual Amazon Software Poll — emphasizing the biggest changes in the Amazon software landscape, including the closing down of many popular tools and the cutthroat industry of Amazon software services.  It's that time of the year again! In this episode, Dave will be revealing the winners (a couple of which you might not have expected) of last year's survey to find out the Best Amazon Seller Software across five categories: Product and Keyword Research PPC Management Reimbursement Services Repricing Tool Product Launch and Marketing On top of that, he'll be talking about why some categories have lost a significant amount of entries, the significant shifts in software usage among sellers, and what he's surprised to see in the results. Let's get right into it: Timestamps: 00:00 - The State of Amazon Software in 2025 02:47 - Poll Results: Key Insights and Trends 06:11 - The Rise and Fall of Software Tools 08:57 - Community Engagement and Membership Trends Don't forget to leave us a review over on iTunes if you enjoy content like this. Happy selling and we'll talk to you soon!  

Bret Taylor is the CEO of Sierra and OpenAI's board chair. Taylor joins Big Technology Podcast to discuss how AI is reshaping software, from vibe coding to the rise of AI agents that will replace dashboards, forms, and the way we interact with technology. We also cover OpenAI's decision to introduce ads, whether AI progress is actually slowing down, and what Brett has learned from working with Sam Altman, Mark Zuckerberg, Elon Musk, and Sheryl Sandberg. Hit play for an essential conversation on the future of software with someone who's been at the center of every major tech shift for two decades. --- --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we sit down with Adam Zimman, author and VC advisor, to explore the world of progressive delivery and why shipping software is only the beginning. Adam shares his fascinating journey through tech—from his early days as a fire juggler to leadership roles at EMC, VMware, GitHub, and LaunchDarkly – and how those... Read more »

On this episode of For Mac Eyes Only: Join Mike, Darren, special guest Bob Wood, plus contributions from listeners Nick and Lisa as they share tech resolutions for the new year including clearing out the digital cruft, giving back to your tech community, cutting ties with old subscriptions, not letting AI take over your life, and more! We close the episode with Bob's Essential App pick: AnyList.

Do you have questions about AI and the role it's playing in EHS? Is it a trustworthy source, and how would you know if it is? What are the benefits and implications? Jill sits down with three of HSI's top executives who are leading the charge in AI technology development for EHS software. Join Jose Arcilla, Chief Executive Officer, John Hambelton, Chief Technology Officer, and Mike Case, Vice President of Product, as they break down what's working with AI, precautions you need to know, and how they're creating tools that grow with the people who rely on them. You'll hear how they're designing tech that learns from real work, minimizes risk, and supports better choices, all while keeping humans firmly in control. From guardrails around ethics and human oversight, and questions to ask before selecting AI-powered solutions, this episode pulls back the curtain on AI development, what's coming next, and why it matters for EHS professionals.

Everyone's chasing AI. Meanwhile, most organizations are wasting 25-30% of their software budget on tools nobody uses.In this episode, we meet James Malek, Senior VP of IT Infrastructure at Lexitas, who inherited chaos—45 acquisitions in five years, no structured IT department, and a hodgepodge of contracts everywhere. Instead of chasing the next shiny thing, James took a different approach: foundation first.What his team discovered when they finally got visibility into their software estate—including 300 employees using ChatGPT at a legal services company handling sensitive data—changed everything.In this episode, you'll learn:• Why software waste persists despite decades of awareness—and what actually fixes it• How one company consolidated seven separate ShareFile contracts into one• The shadow AI problem hiding in your organization right now• Why you can't do it all yourself—and what to do insteadFeaturing:• James Malek, Senior VP of IT Infrastructure, Lexitas• Elizabeth D'Amico, Manager, SAM Programs & Enablement, Softchoice• Josh Brewer, Account Executive, SoftchoiceThe Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

Rental software has always been built to record what already happened.In this episode, Kyle sits down with Evan Read, Head of Product at Quinn, Quipli's AI agent platform for equipment rental, to explain why the next shift in rental technology isn't better dashboards or chatbots, but software that actually takes action.They break down the difference between systems of record and systems of action, how Quinn's AI agents already book rentals, capture missed opportunities, flag churn risk, and generate new leads, and why early adoption matters for independent rental companies competing with nationals.This is a clear look at where rental technology is headed next.Learn more about Quinn here: https://getquinn.ai/

This is a recap of the top 10 posts on Hacker News on January 27, 2026. This podcast was generated by wondercraft.ai (00:30): TikTok users can't upload anti-ICE videos. The company blames tech issuesOriginal post: https://news.ycombinator.com/item?id=46779809&utm_source=wondercraft_ai(01:57): FBI is investigating Minnesota Signal chats tracking ICEOriginal post: https://news.ycombinator.com/item?id=46783254&utm_source=wondercraft_ai(03:24): PrismOriginal post: https://news.ycombinator.com/item?id=46783752&utm_source=wondercraft_ai(04:52): U.S. government has lost more than 10k STEM PhDs since Trump took officeOriginal post: https://news.ycombinator.com/item?id=46784263&utm_source=wondercraft_ai(06:19): Cloudflare claimed they implemented Matrix on Cloudflare workers. They didn'tOriginal post: https://news.ycombinator.com/item?id=46781516&utm_source=wondercraft_ai(07:47): Kimi Released Kimi K2.5, Open-Source Visual SOTA-Agentic ModelOriginal post: https://news.ycombinator.com/item?id=46775961&utm_source=wondercraft_ai(09:14): 430k-year-old well-preserved wooden tools are the oldest ever foundOriginal post: https://news.ycombinator.com/item?id=46781530&utm_source=wondercraft_ai(10:42): I made my own GitOriginal post: https://news.ycombinator.com/item?id=46778341&utm_source=wondercraft_ai(12:09): Celebrities say they are being censored by TikTok after speaking out against ICEOriginal post: https://news.ycombinator.com/item?id=46777652&utm_source=wondercraft_ai(13:37): Doing the thing is doing the thingOriginal post: https://news.ycombinator.com/item?id=46776155&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Today’s caller wants to know about the easiest and most helpful tools to write a non-fiction book. Unfortunately, books do not write themselves, but we’ll give him three resources that might make it easier. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week. Show notes: SideHustleSchool.com Email: team@sidehustleschool.com Be on the show: SideHustleSchool.com/questions Connect on Instagram: @193countries Visit Chris's main site: ChrisGuillebeau.com Read A Year of Mental Health: yearofmentalhealth.com If you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.

Erin Mills is a visionary serial entrepreneur, salon owner, and advocate for women's healing and empowerment, driven by a mission to create spaces where safety, growth, and authenticity thrive. From real estate to salon stylist, Erin built her salon business, Theory Salons, to challenge the male-dominated salon industry and its often-unsafe environments, before walking away from all but one of her locations to reinvent herself as a software entrepreneur with a new technology, Flamingo Salon Software, launching later this year. Her journey of reinvention also inspired her to create the Be Brave Community and a new podcast, I Think You Should Be Brave.

Supply chain security remains one of the biggest time sinks for appsec teams and developers, even making it onto the latest iteration of the OWASP Top 10 list. Paul Davis joins us to talk about strategies to proactively defend your environment from the different types of attacks that target supply chains and package dependencies. We also discuss how to gain some of the time back by being smarter about how to manage packages and even where the responsibility for managing the security of packages should be. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-367

Choosing studio software shouldn't feel like a gamble—but for many owners, it does. The wrong platform can work against you: draining time, frustrating staff and creating friction for members. Don't make a decision without tuning into Episode 703: How to Choose Your Fitness Studio Software in 2026, where Heather Garrick and Conor McGarry break down the essentials.  Pressure-test reporting: ensure your data is accurate, accessible and decision-ready Optimize efficiency: evaluate how many clicks it takes to sell, book or check-in Customize capabilities: choose a fit for your model, formats, scheduling and growth Check marketing depth: understand how leads, automations and attribution work Plan for scale: verify it supports more offerings or studios without future migration Your software shapes your studio's day-to-day, growth and future. So do your homework, ask questions and test-drive several options. Kick off this critical process with Episode 703. Catch you there, Lise   PS: Join 2,000+ studio owners who've decided to take control of their studio business and build their freedom empire. Subscribe HERE and join the party! www.studiogrow.co www.linkedin.com/company/studio-growco/  

Software engineering is changing fast, but not in the way most hot takes claim. Robert Brennan, Co founder and CEO at OpenHands, breaks down what happens when you outsource the typing to the LLM and let software agents handle the repetitive grind, without giving up the judgment that keeps a codebase healthy. This is a practical conversation about agentic development, the real productivity gains teams are seeing, and which skills will matter most as the SDLC keeps evolving. Key TakeawaysAI in the IDE is now table stakes for most engineers, the bigger jump is learning when to delegate work to an agentThe best early wins are the unglamorous tasks, fixing tests, resolving merge conflicts, dependency updates, and other maintenance work that burns time and attentionBigger output creates new bottlenecks, QA and code review can become the limiting factor if your workflow does not adaptSenior engineering judgment becomes more valuable, good architecture and clean abstractions make it easier to delegate safely and avoid turning the codebase into a messThe most durable human edge is empathy, for users, for teammates, and for your future self maintaining the systemTimestamped Highlights00:40 What OpenHands actually is, a development agent that writes code, runs it, debugs, and iterates toward completion02:38 The adoption curve, why most teams start with IDE help, and what “agent engineers” do differently to get outsized gains06:00 If an engineer becomes 10x faster, where does the time go, more creative problem solving, less toil15:01 A real example of the SDLC shifting, a designer shipping working prototypes and even small UI changes directly16:51 The messy middle, why many teams see only moderate gains until they redraw the lines between signal and noise20:42 Skills that last, empathy, critical thinking, and designing systems other people can understand22:35 Why this is still early, even if models stopped improving today, most orgs have not learned how to use them well yetA line worth sharing“The durable competitive advantage that humans have over AI is empathy.”Pro Tips for Tech TeamsStart by delegating low creativity tasks, CI failures, dependency bumps, and coverage improvements are great training wheelsDefine “safe zones” for non engineers contributing, like UI tweaks, while keeping application logic behind clearer guardrailsInvest in abstractions and conventions, you want a codebase an agent can work with, and a human can trustTrack where throughput stalls, if PR review and QA are the bottleneck, productivity gains will not show up where you expectCall to ActionIf you got value from this one, follow the show and share it with an engineer or product leader who is sorting out what “agentic development” actually means in practice.

This is a recap of the top 10 posts on Hacker News on January 26, 2026. This podcast was generated by wondercraft.ai (00:30): After two years of vibecoding, I'm back to writing by handOriginal post: https://news.ycombinator.com/item?id=46765460&utm_source=wondercraft_ai(01:56): France Aiming to Replace Zoom, Google Meet, Microsoft Teams, etc.Original post: https://news.ycombinator.com/item?id=46767668&utm_source=wondercraft_ai(03:23): Television is 100 years old todayOriginal post: https://news.ycombinator.com/item?id=46766188&utm_source=wondercraft_ai(04:50): Fedora Asahi Remix is now working on Apple M3Original post: https://news.ycombinator.com/item?id=46769051&utm_source=wondercraft_ai(06:17): Qwen3-Max-ThinkingOriginal post: https://news.ycombinator.com/item?id=46766741&utm_source=wondercraft_ai(07:44): MapLibre Tile: a modern and efficient vector tile formatOriginal post: https://news.ycombinator.com/item?id=46763864&utm_source=wondercraft_ai(09:11): Iran's internet blackout may become permanent, with access for elites onlyOriginal post: https://news.ycombinator.com/item?id=46761822&utm_source=wondercraft_ai(10:37): Google AI Overviews cite YouTube more than any medical site for health queriesOriginal post: https://news.ycombinator.com/item?id=46766031&utm_source=wondercraft_ai(12:04): Clawdbot - open source personal AI assistantOriginal post: https://news.ycombinator.com/item?id=46760237&utm_source=wondercraft_ai(13:31): Apple introduces new AirTag with longer range and improved findabilityOriginal post: https://news.ycombinator.com/item?id=46765819&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Supply chain security remains one of the biggest time sinks for appsec teams and developers, even making it onto the latest iteration of the OWASP Top 10 list. Paul Davis joins us to talk about strategies to proactively defend your environment from the different types of attacks that target supply chains and package dependencies. We also discuss how to gain some of the time back by being smarter about how to manage packages and even where the responsibility for managing the security of packages should be. Show Notes: https://securityweekly.com/asw-367

Supply chain security remains one of the biggest time sinks for appsec teams and developers, even making it onto the latest iteration of the OWASP Top 10 list. Paul Davis joins us to talk about strategies to proactively defend your environment from the different types of attacks that target supply chains and package dependencies. We also discuss how to gain some of the time back by being smarter about how to manage packages and even where the responsibility for managing the security of packages should be. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-367

This show has been flagged as Clean by the host. Development isn't over until it's packaged Most software development I've done has been utilities for highly specific workflows. I've written code to ensure that metadata for a company's custom file format gets copied along with the rest of the data when the file gets archived, code that ensures a search field doesn't mangle input, lots of Git hooks, file converters, parsers, and of course my fair share of dirty hacks. Because most software projects I work on are designed for a specific task, very few of them have required packaging. My utilities have been either integrated into a larger code base I'm not responsible for, or else distributed across an infrastructure by an admin. It's like a magic trick, which has made my life conveniently easier but, as magic does, it has also tricked me into thinking that my development work is done once I can prove that my code does its job. The reality is that code development isn't actually done until you can deliver it to your users in a format they can install. I don't think I'm alone in forgetting that software delivery is the real final product. There are many reasons some developers stop short of providing an installable package for the code they've worked on for weeks or months or years. First of all, packaging is work, and after writing and troubleshooting code for months, sometimes you just want your work to be over just as soon as everything functions as expected. Secondly, there are a lot of software package formats out there, regardless of what platform you're delivering to. However, I view packaging as part of quality assurance. There are lots of benefits you gain by packaging your code into an installer, and you don't have to target every package format. In fact, you get the benefits of packaging by creating just one package. Checking for consistency When you package your code as an installable file, whether it's an RPM file or a Bash script or a Flatpak or AppImage or EXE or MSI or anything else, you are checking your code base for consistency. Pick whatever package format you're most comfortable with, or the one you think represents the bulk of your target audience, and you're sure to find that the package tooling expects to be automated. Nobody wants to start packaging from scratch every time they update code, so naturally packaging tools are designed to be configured once for a specific code base and then to create updated packages each time the code base is updated. If you're building a package for your project and discover that you have to manually intervene, then you've discovered a bug in your code. Imagine that you've got a project repository with a name in camel-case. You hadn't noticed before, but your code refers to itself in a mix of lowercase and camel-case. Your package build grinds to a halt because a variable used by the packaging tools suddenly can't find your code base because it was set to a lowercase title but the archive of your code uses camel-case. If this happens to you, it's also going to happen for every software packager trying to help you deliver your project to their users. Fix it for yourself, and you've fixed it for everyone. Discover surprise dependencies For decades, one of the most common problems of software troubleshooting has been the phrase “well, it works on my machine.” No matter how many tools we developers have at our disposal to make it easy to build and run software on a clean system, it's still common to accidentally deliver software with surprise dependencies. It's easy to forget to revert to a clean snapshot in a virtual machine, or to use a container that just happens to have a more recent version of a library than you'd realised, or to get the path of an important executable wrong in a script, or to forget that not all computers ship with a thing you take for granted. Not all packaging tools are immune to this problem, but very robust ones (like RPM and DEB, Flatpak, and AppImage) are. I can't count the times I've tried to deliver an RPM only to be reminded by rpmbuild that I haven't included the -devel version of a dependency (many Linux distributions separate development libraries from binaries.) You may not literally fix every problem with dependency management by building a single package, but you can clearly identify what your code requires. It only takes a single warning from your packaging tool for you to add a note to other packagers about what they must include in their own builds. As an additional bonus, it's also a good reminder to double check the licenses your project is using. In the haze of desperate hacking to get something to just-work-already, it's helpful to get a gentle reminder that you've linked to a library with a different license than everything else. Few packaging tools (if any?) detect licensing requirements directly, but sometimes all it takes is a reminder that you're using a library that comes from a non-standard repo for you to remember to review licensing. Every package is an example package Once you've packaged your code once, you create an example for everyone coming to your project to turn it into a package of their own. It doesn't matter whether your example package is an RPM or a DEB or just a TGZ for a front-end like SlackBuild or Arch's AUR, it's the interaction between a packaging system and the input script that counts. Even a novice package maintainer is likely to be able to reverse engineer a packaging script enough to reuse the same logic for their own package. Here's the build and install section of the RPM for GNU Hello: %prep %autosetup %build %configure make %{?_smp_mflags} %install %make_install %find_lang %{name} rm -f %{buildroot}/%{_infodir}/dir %post /sbin/install-info %{_infodir}/%{name}.info %{_infodir}/dir || : Here's the GNU Hello build script for Arch Linux: source=(https://ftp.gnu.org/gnu/hello/$pkgname-$pkgver.tar.gz) md5sums=('5cf598783b9541527e17c9b5e525b7eb') build(){ cd "$pkgname-$pkgver" ./configure --prefix=/usr make } package(){ cd "$pkgname-$pkgver" make DESTDIR="$pkgdir/" install } There are differences, but you can see the shared logic. There are macros or functions that abstract some common steps of the build process, there are variables to ensure consistency, and they both benefit from using automake as provided by the source code. Armed with these examples, you could probably write a DEB package or Flatpak ref for GNU Hello in an afternoon. Package your code at least once Packaging is quality assurance. Even though a packaging system is really just a front-end for whatever build system your code uses anyway, the rigour of creating a repeatable and automated process for delivering your project is a helpful exercise. It benefits your project, and it benefits the people eager to deliver your project to other users. Software development isn't over until it's packaged.Shownotes taken from https://www.both.org/?p=13264Provide feedback on this episode.

Topics covered in this episode: GreyNoise IP Check tprof: a targeting profiler TOAD is out Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am 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: GreyNoise IP Check GreyNoise watches the internet's background radiation—the constant storm of scanners, bots, and probes hitting every IP address on Earth. Is your computer sending out bot or other bad-actor traffic? What about the myriad of devices and IoT things on your local IP? Heads up: If your IP has recently changed, it might not be you (false positive). Brian #2: tprof: a targeting profiler Adam Johnson Intro blog post: Python: introducing tprof, a targeting profiler Michael #3: TOAD is out Toad is a unified experience for AI in the terminal Front-end for AI tools such as OpenHands, Claude Code, Gemini CLI, and many more. Better TUI experience (e.g. @ for file context uses fuzzy search and dropdowns) Better prompt input (mouse, keyboard, even colored code and markdown blocks) Terminal within terminals (for TUI support) Brian #4: FastAPI adds Contribution Guidelines around AI usage Docs commit: Add contribution instructions about LLM generated code and comments and automated tools for PRs Docs section: Development - Contributing : Automated Code and AI Great inspiration and example of how to deal with this for popular open source projects “If the human effort put in a PR, e.g. writing LLM prompts, is less than the effort we would need to put to review it, please don't submit the PR.” With sections on Closing Automated and AI PRs Human Effort Denial of Service Use Tools Wisely Extras Brian: Apparently Digg is back and there's a Python Community there Why light-weight websites may one day save your life - Marijke LuttekesHome Michael: Blog posts about Talk Python AI Integrations Announcing Talk Python AI Integrations on Talk Python's Blog Blocking AI crawlers might be a bad idea on Michael's Blog Already using the compile flag for faster app startup on the containers: RUN --mount=type=cache,target=/root/.cache uv pip install --compile-bytecode --python /venv/bin/python I think it's speeding startup by about 1s / container. Biggest prompt yet? 72 pages, 11, 000 Joke: A date via From Pat Decker

Due to AI worries, some software stocks are trading near 5-years lows. Are they oversold?

New @greenpillnet pod out today!

Jason William Johnson, PhD, Founder of SoundStrategist, is driven by two lifelong passions: creating and teaching. Through SoundStrategist, Jason designs AI-powered learning experiences and intelligent coaching systems that blend music, gamification, and experiential learning to drive real skill development and engagement for enterprises and entrepreneur support organizations. We explore Jason's journey as a musician, educator, and business coach, and how he fused those disciplines into an AI-first company. Jason shares his AI for Deep Experts Framework, showing how subject-matter experts can identify an industry pain point, envision a solution, brainstorm with AI, leverage AI tools to build it, and go after high-value impact—turning deep expertise into scalable products and platforms without needing to be technical. He also explains how AI accelerates research and product design, how “vibe coding” enables rapid MVP development, and why focusing on high-value B2B impact creates faster traction with less complexity. — Turn Your Expertise Into Software with Jason W. Johnson Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group, developing the Summit OS Business Operating System. And my guest today is Jason William Johnson, PhD, the Founder of SoundStrategist. His team designs AI-powered learning experiences and deploys intelligent coaching systems for enterprises and entrepreneur support organizations blending music, gamification, and experiential learning to drive real skill development and engagement. Jason, welcome to the show.  Thanks for having me, Steve.  I’m excited to have you and to learn about how you blend music and learning and all that together. But to start with, I’d like to ask you my favorite question. What is your personal ‘Why’ and how are you manifesting it in your business?  I would say my personal ‘Why’ is creating and teaching. Those are my two passions. So when I was younger, I was always a creative. I did music, writing, and a variety of other things. So I was always been passionate about creating, but I’ve also been passionate about teaching. I've been informally a teacher for my entire adult life—coaching, training. I've also been an actual professor. So through  SoundStrategist, I’m kind of combining those two passions: the passion for teaching and imparting wisdom, along with the passion for creating through music, AI-powered experiences, gamification, and all of those different things. So I'm really in my happy place.Share on X  Yeah, sounds like it. It sounds like you're very excited talking about this. So this is quite an unusual type of business, and I wonder how do you stumbled upon this kind of combination, this portfolio of activities and put them all into a business. How did that come about? So Liam Neeson says, “I have a unique combination of skills,” like in Taken. I guess that's kind of how I came up with SoundStrategist. I've pretty much been in music forever. I've been a musician, songwriter, producer, and rapper since I was a child. My father was a musician, so it was kind of like a genetic skill that I kind of adopted and was cultivated at an early age. So I was always passionate about music. Then got older, grew up, got into business, and really became passionate about training and educating. So I pretty much started off running entrepreneurship centers. My whole career has been in small business and economic development. SoundStrategist was a happy marriage of the two when I realized, oh, I can actually use rap to teach entrepreneurship, to teach leadership skills, and now to teach AI and a variety of other things.Share on X So pretty much it was just that fusion of things. And then when we launched the company, it was around the time ChatGPT came out. So we really wanted to make sure we were building it to be AI-first. At first, we were just using AI in our business operations, but then we started experimenting  with it for client work—like integrating AI-powered coaches in some of the training programs we were running and things like that. And that really proved to be really valuable, because one of the things I learned when I was running programs throughout my career was you always wanted to have the learning side and the coaching side. Because the learning side generalizes the knowledge for everybody and kind of level-sets everybody.Share on X But everybody’s business, or everybody’s situation, is extremely unique, so you need to have that personalized support and assistance. And when we were running programs in the entrepreneurship centers I were running and things like that, we would always have human coaches. AI enabled us to kind of scale coaching for some of the programs we’re building at SoundStrategist through AI. So with me having been a business coach for over 15 years, I knew how to train the AI chatbots. It started off as simple chatbots, and now it's evolved into full agents that use voice and all those other capabilities. But it really started as, let's put some chatbots into some of our courses and some of our programs to kind of reinforce the learning, personalize it, and then it just developed from there. Okay, so there's a lot in there, and I'd like to unpack some of it. When you say use rap to teach, I’m thinking about rap is kind of a form of poetry. So how do you use poetry, or how do you use rap to teach people? Is it more catchy if it is delivered in the form of a rap song? How does it work? So you kind of want to make it catchy. Our philosophy is this: when you listen to it, it should sound like a good song.Share on X Because there’s this real risk of it sounding corny if it's done wrong, right? So we always focus on creating good music first and foremost when we’re creating a music-based lesson. So it should be a good song. It should be something you hear and think, oh, between the chorus and the music, this actually sounds good. But then, the value of music is that once you learn the song, you learn the concept, right? Because once you memorize the song, you memorize the lyrics, which means you memorize the concept. One of the things we also make sure to do is introduce concepts. The best way I could describe this is this, and this might be funny, but I grew up in the nineties, and a lot of rappers talked about selling dr*gs and things like that. I never sold dr*gs in my life. But just by listening to rap music and hearing them introduce those concepts, if I ever decided to go bad, I would have a working theory, right? So the same thing with entrepreneurship, and the same thing with business principles. You can create songs that introduce the concepts in a way where if a person's never done it, they're introduced to the vocabulary.Share on X They’re introduced to the lived experiences. They’re introduced to the core principles. And then they can take that, and then they can go apply it and have a working theory on how to execute in their business. So that’s kind of the philosophy that we took, let’s make it memorable music, but also introduce key vocabulary. Let’s introduce lived experiences. Let’s introduce key concepts so that when people are done listening to the song, they memorize it, they embody it, and they connect with it. Now they have a working theory for whatever the song is about.  And are you using AI to actually write the song?  No, we're not. That’s one of the things we haven’t really integrated on the AI front, because the AI is not good enough to take what’s exactly in my head and turn it into a song. It’s good for somebody who doesn’t have any songwriting capability or musical capability to create something that’s cool. But as a musician, as somebody who writes, you have a vision in your head on how something should sound sonically, and the AI is not good enough to take what’s in my head and put it into a song. Now, what we are using are some of the AI tools like Suno for background music. So at first, we used that to create all our background music for our courses from scratch. We are using some of the AI to help with some of the background music and everything and all of that so that we can have original stuffShare on X as opposed to having to use licensed music from places like Epidemic Sound. So we are using it for like the background music. But for the actual music-based lessons, we're still doing those old school.  Okay, that's pretty good. We are going to dive in a little bit deeper here, but before we go there, I’d like to talk about the framework that you’re bringing to the show. I think we called it the AI for Deep Experts Framework. That's the working title right now, but yeah, we're still finalizing it. But that’s the working title. Yeah.  But the idea—at least the way I'm understanding it—is that if someone has deep domain expertise, AI can be a real accelerator and amplifier of that expertise. Yep.  So people who are listening to this and they have domain expertise and they want to do AI so that they can deliver it to more people, reach more people, create more value, what is the framework? What is the five-step framework to get them there?  Number one: provided that you have deep expertise, you should be able to identify a core pain point in your respective industry that needs solving.Share on X Maybe it’s something that, throughout your career, you wanted to solve, but you weren’t able to get the resources allocated to get it done in your job. Or maybe it required some technical talent and you weren’t a developer, or whatever, right? But you should be able to identify what’s the pain point, a sticking pain point that needs to be solved—and if it's solved, it could really create value for customers. That's just old-school opportunity recognition. Number two: now, the great thing about AI is that you can leverage AI to do a lot of deep research on the problem. So obviously, you're still going to have conversations to better understand the pain point further. You're going to look at your own lived experiences and things like that. But now you can also leverage AI tools—using Perplexity or Claude—to do deep research on a market opportunity. So whether or not you have experience in market research, you can use an AI tool to help identify the total addressable market. You can brainstorm with it to uncover additional pain points, and it help you flesh out your value proposition, your concept statement, and all of those things that are critical to communicating the offering. Because before we transact in money, we always transact in language, right? So pretty much, AI can help you articulate the value proposition, understand the pain point, all of those different things. And then also if you have like deep expertise and you haven't really turned it into a framework, the AI can help you framework it and then develop a workflow to deliver value.Share on X So now you have the framework, you have the market understanding, and all of those different things. AI can even help you think through what the product would look like—the user experience, the workflow, things like that. Now you can use the AI-powered tool to help you build that. You can use something like Lovable. You can use something like Bolt. You could use something like Cursor, all different AI-powered tools. For people who are newer to development and have never done development before, I would recommend something like Lovable or maybe Bolt. But once you get more comfortable and want to make sure you're building production-ready software, then you move to something like Cursor.  Cursor has a large enough context window—the context window is basically the memory of an AI tool. It has a large enough context window to deal with complex codebases. A lot of engineers are using it to build real, production-ready platforms. But for an MVP, Bolt and Lovable are more than good enough. So one of the things I recommend when building with one of these tools is to do what's called a PRD prompt. PRD stands for Product Requirements Document.Share on X For those who aren’t familiar with software development, typically, and this is not even really happening anymore, but traditionally with software development, you would have the product manager create a Product Requirements Document. So this basically outlines the goals of the platform, target audience, core features, database, architecture, technology stack, all of the different things that engineers would need to do in order to build the platform. So you can go to something like Claude, or ChatGPT, and you can say: “Create a PRD prompt for this app idea,” and then give as much detail as possible—the features, how it works, brand colors, all of those different things. Then the AI tool—whether you're using ChatGPT, Claude, or Gemini—will generate your PRD prompt. So it’s going to be like this really, really long prompt. But it’s going to have all of the things that the AI tool, web-building or app-building tool needs to know in order to build the platform. It’s going to have all the specifications. So you copy and paste.  Is this what people call vibe coding?  Yeah, this is vibe coding. But the PRD prompt helps you become more effective at vibe coding because it gives the AI the specifications it needs and the language that it understands to increase the likelihood that you build your platform correctly. Because once you build the PRD prompt, the AI is going to know, okay, this is the database structure. It's going to know whether this is a React app versus a Next.js app. It's going to know, okay, we're building a frontend with Netlify. The stuff that you may not know, the AI will know, and it will build the platform for that. So then you take that prompt, you paste it into Lovable, paste it into Cursor, and then you can kind of get into your vibe coding flow. Don't let the hype fool you, though, because a lot of people will say, “Oh, I built this app in 15 minutes using Lovable.” No—it still requires time. But if you can build a full-stack application in two weeks when it typically takes several months, that’s still like super fast. So pretty much, on average, you can build something in a couple of weeks—especially once you get familiar with the process, you can build something in a couple of weeks. But if this is your first time ever doing this, pay attention to things like when the app debugs and some of the other issues that come up.  Start paying attention because you’re going to learn certain things by doing. As you go through the process, you'll begin to understand things like, okay, this is what an edge function is, this is what a backend is. You’ll start learning these different things as you’re going through the process, right? So you get the platform built. Now the next step is you want to distribute the platform. So obviously, if you’ve been in your industry for a while and you have some expertise, you should have some distribution. You should have some folks in your space who are your ICP that you can kind of start having some customer conversations with and start trying to sell the platform. One of the things that I always recommend is going B2B and selling something for significant valueShare on X as opposed to going B2C and selling a bunch of $19.99 subscriptions. And the reason for that is a couple of different things. Number one, when you have to do a lot of volume, your business model becomes more complicated. And then you have to introduce things to manage that volume. Whereas if you’re selling a solution that’s a five-figure to six-figure offering, like 10 clients, 15 clients, the amount of money that you can get to with less complexity in your business model. So I always say go B2B, at least a five-figure annual offering, because I know most of the offerings that we offer are at least high five figures, low six figures—subscriptions, SaaS licensing, or whatever. And that way it just introduces less complexity to your business model, and it allows you to get as much revenue as possible. And then as you go to market, you’re going to learn. So the learning aspect, you’re going to learn maybe customers want this or this feature. We thought the people were going to use the platform this way, but they’re actually using it this way. So you’re always learning, always evolving, and adjusting the offering. Okay, so let's say I have deep expertise in some area—maybe investment banking or whatever. I want to use AI. I identify an industry pain point that I've addressed or maybe I personally experienced. I visualize a solution, then I brainstorm with ChatGPT or Claude or whatever, figure out what to do, and then I leverage AI tools like Cursor, Lovable, or Bolt. I set the price point. I go B2B. Is this something that, as a subject-matter expert, is efficient for me to do myself because I have the expertise and the vision? Or is it better for me to hire someone to do this?  It depends on what your bandwidth is. I mean, pretty much I’m of the firm belief that like these are skills that you probably want to unlock anyway. So it might be worth going through the process of learning the tools, leveraging them, and everything, and all of that. And that’s kind of how you future-proof yourself. Now, obviously, if you have bandwidth limitations, there are firms and organizations that you could hire, et cetera, et cetera, that can do it for you. Obviously, developers and things like that. But the funny thing about a lot of developers is, even though they're using AI, they're still charging the prices they charged before AI, right? They’re just getting it done faster, and their margins are a lot lower. So you're still going to pay, in a lot of instances, developer pricing for a platform. Those are the things that you have to consider as far as your own personal situation. But me personally, I believe these are skills worth unlocking.Share on X Because one of the things is, if you get very senior in your career—let's say you've been there 15, 16 years, 20 years—we all know there's this point where you either move up to the C-suite or you get caught in upper-middle-management purgatory, where you're kind of in that VP, senior director space, et cetera, et cetera, and you just kind of hover there. At that point, your career moves tend to be lateral—going from one VP role to another VP role, one senior director role to another senior director role, right? At that point, your income potential starts to get limited. So unlocking one of these skills and becoming more entrepreneurial is something I genuinely believe is worth developing personally. And what would you say is the time requirement for someone to get competent in vibe coding?  Three months minimal. You could be pretty solid in three months.  But three months full-time or three months part-time?  Three months part-time.  So three months. That's about 143 working hours in a regular month. So that's basically around 420–430 hours if you were full-time.  If you spend weekends working on your project, learning how to build it, taking notes, and actually going through the process, you can get pretty decent in a couple of months. Now, obviously, there are still levels as you continue and to progress and things like that, but you can get pretty solid in a couple months. Another thing you want to consider is who you're selling to. You obviously wanna make sure that your platform security is really well, is really done. So even if you build it yourself and then you have an engineer do code review, that’s cheaper than having them build it. I think if you spend three months, you can get really good at building solutions for what you need to get done. And then from there, you just get better and better and better and better.  How do I know that, let's say I hire someone in Serbia to do a code review for me? Let's say I learn the vibe coding thing and create the prototype, then I have someone to clean the code. How do I know that they did a good job or not?  You really don’t. You really don’t know until the platform’s in the wild, and it’s like, okay, it’s secure. So there are some things that you can do to check behind people. Let's say you don't have the money to do a full security audit or hire someone specifically for a security review, a developer for security review. One of the things that you can do is you can do multi-agent review. Like you take your codebase, have Claude review it, have OpenAI Codex review it, have a Cursor agent review it. You have multiple agents do a review. Then they kind of check each other’s work, if you will.  They kinda identify things that others may not have identified, so you can get the collective wisdom of those three to be able to be like, “Okay, I need to shore this up. I need to fix this. I need to address that.” That gives you more confidence. It still doesn’t replace a person who has deep expertise and making sure they build secure code, but it will catch common issues, like hard-coding API keys, which is a risk, right? It’ll catch those type of things that typically happen. But let’s say you do have a security, a code review, you could just kind of take that same approach also to check their work. Because they shouldn’t find any major vulnerabilities. The AI agents that come in after it shouldn’t really find any major vulnerabilities if it was like done securely securely. Another thing to consider is that a lot of these tools use Supabase for the backend and database. Supabase also has a built-in security advisor, including an AI security advisor, that points out security issues, performance problems, and configuration errors. So like you do have some AI-powered check and balances to check behind people.Share on X  Interesting. So basically, I can audit their applications, and the AI will check the code and tell me what needs to be improved?  Yeah. And they can make the fixes for you.  Yeah. Wow, that’s amazing. It still sounds a little bit overwhelming. It’s basically a language, a new language to learn, isn’t it?  It’s not really — it’s English. That’s the amazing thing about it—it’s English. I mean, you literally talk to AI in natural language, and it builds stuff for you, which is, if somebody is like, had a idea for a minute, because I mean, pretty much running entrepreneurship centers, I’ve known so many people who’ve had ideas that they were never able to launch or build, and then they see somebody build it later. If you learn these skills, you get to the point where anything that's in your head, you can kind of start bringing it to life in reality.Share on X And even if you've got to bring somebody in to make sure it's secure and production-ready, it's way cheaper than having them build it from scratch. And then another thing that you’ll find also is if you’re able to build something, let’s say you want to turn it into a startup or something, right? It’s a lot easier to bring in a technical co-founder when they don’t got to build the thing from scratch, and then they also see that you were able to build something, they’re able to see your product vision, et cetera, et cetera. It becomes a lot more easier to recruit people who actually have that expertise into the company because you’ve already handled the hard part. You got something and it works. And all they got to do is just come in, make it safe, and make it work better.  Yeah, that is very interesting. It feels analogous to writing a book yourself or having a ghostwriter. Because essentially, you are vibe coding with a ghostwriter, right? You tell the stories, and then the ghostwriter writes the book for you. Probably now you can use  AI to do that. Yep.  But that's a skill. Not everyone has the skill to write it themselves, and then they need to go to the ghostwriter, but still is their book, right?  Yep.  So it sounds a little bit similar. That’s fascinating. So what’s the path to launching an MVP? So let’s say I’m a subject matter expert, and I want to launch an MVP within a few weeks. Is there a path for me to go there?  Once you get good with the platform, once you get comfortable with the tools, yeah. So for example, we're launching an AI platform. It's an AI coaching platform, but it's also a data analytics platform. Basically, it's targeted to entrepreneur support organizations and municipalities supporting small businesses. So on the front end, it's an AI-powered advisor — it's a hotline that people can call 24/7. But on the back end, the municipalities and entrepreneur support organizations get access to analytics from each of those calls. We built this in two weeks. We’re already talking to customers, we’re already having conversations, and all of those things. We literally brought it to market in two weeks. So the thing is, once you kind of get caught up with the tools—and I'm not a developer, I'm not a developer by trade at all. I had a tech startup before, but I was a non-technical founder. I just know how to put together a product. But once you get good with the tools, that's very conceivable. And then you just go out there, and you go in the market, you start having conversations with your ideal customer profile.Share on X As you’re going through that process, you’re learning, okay, maybe this isn’t my ideal customer profile, this is their pain point. Or maybe instead of this being the feature they want, this is the feature they want. And the crazy thing about it is in the past you had to really get that ICP real tight and the feature set real tight because it cost so much money to go back and have to make tweaks and changes and to get it to market in the first place. Now, you can get a new feature added in the afternoon. It allows you to go to market a little bit faster. You don’t have to have the ideal feature set. You don’t have to have the ICP figured out. You get out there, you learn, and then you’re able to iterate a lot faster because the cost of development is super cheap now, and the speed in which like new features can be added or deprecated is a lot faster. So it allows you to go to market a lot faster than in the past.  Okay, I got it. You can do this, you can code. What do you recommend for someone who’s starting out? You mentioned Lovable, Bolt, and then Cursor. Is Cursor like an advanced product?  Cursor’s a little bit more advanced, but if you want to build production-ready software, it's something you're going to eventually have to use. But can you convert from Lovable to Cursor?  Yes, you can. Yep. So what you typically do — and I still do this to this day — is every time I launch a product, I build it in Bolt first. You could use Bolt or Lovable, either one's fine. I use Bolt because Bolt came out first, and that's what I started using. Then Lovable came out like a month later. But I use Bolt. I’ll spin up the idea in Bolt. And the reason I like doing it in Bolt or Lovable is that it's really good at doing two things. It's really good at quickly launching your initial feature set, and then spinning up your backend. Your database — it's really good at that. So I start off in Bolt, then I connect it to a repository.  For those who aren't familiar with GitHub, there's a button in Bolt or Lovable where you can easily connect it to a GitHub repository. So then once I kind of get the app to a point where the basic skeleton is set, then I go into Cursor. Then I pull the repository into Cursor and do the heavy work. The reason Cursor has a learning curve is because there are still some traditional developer things you need to know to spin up a project. Your initial database — it's a lot harder to spin up your initial database and backend in Cursor. It's also harder to identify your initial libraries and all of those things. If you're a developer, it's not difficult. But if you're new, it is. Bolt and Lovable abstract those things out for you. So you start it off in Bolt or Lovable. Basically, since they're limited in their context windows, when you're trying to build something complex, eventually they start making a whole bunch of errors. They basically start getting stup*d. That's when you know it's time to move to Cursor, because Cursor can handle the heavy lifting. So if you build in Bolt or Lovable until it gets stup*d, then you move to Cursor for the heavy lifting.  And then is there a point where Cursor gets stup*d as well? No. Cursor has a couple of different things that allow it to extend its context window, which is his memory. You can put documentation into Cursor. For example, whatever your PRD prompt was, you can save that as a document in Cursor. You can also set rules. One of my rules in Cursor is: I'm not technical, so explain everything in layman's terms. And then as you’re starting to build code, you can save that code or you can point it to that repository. So there's some more flexibility with Cursor as far as managing your context window.Share on X But with Bolt and Lovable, the context window is more limited right now. So I start off in those, and then once I kind of get the skeleton up, then I move to Cursor. And at that point, a lot of the complicated things like spinning up your dev environment and all those things are kind of abstracted out. Then you can just jump in and use it the same way you use Bolt and Lovable. Fantastic. Fantastic. So, Jason, super helpful information for domain experts who want to build an application that will help them promote their product or manifest their ideas in product form. I think that’s super powerful. So if someone would like to learn about SoundStrategist and what SoundStrategist can do for them in terms of learning and experiential products, incorporating music, or building curriculum, or they would just like to connect with you to learn more about what you can do for them, where should they go?  Jason William Johnson, PhD, on LinkedIn, or www.getsoundstrategies.com.  Okay. Well, Jason William Johnson, you are really ahead of the curve, especially connecting this whole idea of vibe coding to people who are subject matter experts and not technical. And you know it because you don't come from a technical background, yet you've mastered it. I’m living it. Everything I’m sharing—this is not like a theoretical framework. I'm living all of this. So everything I’m saying. Super authentic. And especially coming from you—you understand what it's like to not be technical person, learning this, applying this.  So if you'd like to do this, learn more, or maybe have Jason guide you, reach out to him. You can find him on LinkedIn at Jason William Johnson, PhD, or visit www.getsoundstrategies.com. And if you enjoyed this episode, make sure you follow us and subscribe on YouTube, follow us on LinkedIn, and on Apple Podcasts. Because every week I bring a super interesting entrepreneur, subject matter expert, or a combination of the two—like Jason—to the show, who will help you accelerate your journey with frameworks and AI frameworks in that gear. So thank you for coming, Jason, and thank you for listening. Important Links: Jason's LinkedIn Jason's website

PAJAMA PODCAST! We're going to let the chat take the wheel, but there's a TON of news out about the raging dumpster fires our social media have become. Plus, why is Apple working on an AI pin? Let's get our tech week started off RIGHT! -- Show Notes and Links: https://somegadgetguy.com/b/4aN Support Talking Tech with SomeGadgetGuy by contributing to their tip jar: https://tips.pinecast.com/jar/talking-tech-with-somegadgetgu Find out more at https://talking-tech-with-somegadgetgu.pinecast.co This podcast is powered by Pinecast. Try Pinecast for free, forever, no credit card required. If you decide to upgrade, use coupon code r-c117ce for 40% off for 4 months, and support Talking Tech with SomeGadgetGuy.

In this episode, host Etienne Nichols sits down with Ashkon Rasooli, founder of Ingenious Solutions and a specialist in Software as a Medical Device (SaMD). The conversation previews their upcoming session at MD&M West, focusing on the critical intersection of generative AI (GenAI) and quality assurance. While many AI applications exist in MedTech, GenAI presents unique challenges because it creates new data—text, code, or images—rather than simply classifying existing information.Ashkon breaks down the specific failure modes unique to generative models, most notably "hallucinations." He explains how these outputs can appear legitimate while being factually incorrect, and explores the cascading levels of risk this poses. The discussion moves from simple credibility issues to severe safety concerns when AI-generated data is used in critical clinical decision-making without proper guardrails.The episode concludes with a forward-looking perspective on how validation is shifting. Ashkon argues that because GenAI behavior is statistical rather than deterministic, traditional pre-market validation is no longer sufficient. Instead, a robust quality framework must include continuous post-market surveillance and real-time independent monitoring to ensure device safety and effectiveness over time.Key Timestamps01:45 - Introduction to MD&M West and the "AI Guy for SaMD," Ashkon Rasooli.04:12 - Defining Generative AI: How it differs from traditional machine learning and image recognition.06:30 - Hallucinations: Exploring failure modes where AI creates plausible but false data.08:50 - The Autonomy Scale: Applying standard 34971 to determine the level of human supervision required.12:15 - Regulatory Gaps: Why no generative AI medical devices have been cleared by the FDA yet.15:40 - Safety by Design: Using "independent verification agents" to monitor AI outputs in real-time.19:00 - The Shift to Post-Market Validation: Why 90% validation at launch requires 10% continuous monitoring.22:15 - Comparing AI to Laboratory Developed Tests (LDTs) and the role of the expert user.Quotes"Hallucinations are just a very familiar form of failure modes... where the product creates sample data that doesn't actually align with reality." - Ashkon Rasooli"Your validation plan isn't just going to be a number of activities you do that gate release to market; it is actually going to be those plus a number of activities you do after market release." - Ashkon RasooliTakeawaysRight-Size Autonomy: Match the AI's level of independence to the risk of the application. High-risk diagnostic tools should have lower autonomy (Level 1-2), while administrative tools can operate more freely.Implement Redundancy: Use a "two is one" approach by employing an independent AI verification agent to check the primary model's output against safety guidelines before it reaches the user.

This is a recap of the top 10 posts on Hacker News on January 25, 2026. This podcast was generated by wondercraft.ai (00:30): ICE using Palantir tool that feeds on Medicaid dataOriginal post: https://news.ycombinator.com/item?id=46756117&utm_source=wondercraft_ai(01:56): A flawed paper in management science has been cited more than 6k timesOriginal post: https://news.ycombinator.com/item?id=46752151&utm_source=wondercraft_ai(03:23): Deutsche Telekom is throttling the internetOriginal post: https://news.ycombinator.com/item?id=46751899&utm_source=wondercraft_ai(04:49): Adoption of EVs tied to real-world reductions in air pollution: studyOriginal post: https://news.ycombinator.com/item?id=46749198&utm_source=wondercraft_ai(06:16): A macOS app that blurs your screen when you slouchOriginal post: https://news.ycombinator.com/item?id=46754944&utm_source=wondercraft_ai(07:42): First, make me careOriginal post: https://news.ycombinator.com/item?id=46757067&utm_source=wondercraft_ai(09:09): Yes, It's FascismOriginal post: https://news.ycombinator.com/item?id=46757822&utm_source=wondercraft_ai(10:36): Doom has been ported to an earbudOriginal post: https://news.ycombinator.com/item?id=46753484&utm_source=wondercraft_ai(12:02): Oneplus phone update introduces hardware anti-rollbackOriginal post: https://news.ycombinator.com/item?id=46757944&utm_source=wondercraft_ai(13:29): Introduction to PostgreSQL IndexesOriginal post: https://news.ycombinator.com/item?id=46751826&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Your host, Sebastian Hassinger, talks with Alumni Ventures managing partner Chris Sklarin about how one of the most active US venture firms is building a quantum portfolio while “democratizing” access to VC as an asset class for individual investors. They dig into Alumni Ventures' co‑investor model, how the firm thinks about quantum hardware, software, and sensing, and why quantum should be viewed as a long‑term platform with near‑term pockets of commercial value. Chris also explains how accredited investors can start seeing quantum deal flow through Alumni Ventures' syndicate.Chris' background and Alumni Ventures in a nutshellChris is an MIT‑trained engineer who spent years in software startups before moving into venture more than 20 years ago.Alumni Ventures is a roughly decade‑old firm focused on “democratizing venture capital” for individual investors, with over 11,000 LPs, more than 1.5 billion dollars raised, and about 1,300 active portfolio companies.The firm has been repeatedly recognized as a highly active VC by CB Insights, PitchBook, Stanford GSB, and Time magazine.How Alumni Ventures structures access for individualsMost investors come in as individuals into LLC‑structured funds rather than traditional GP/LP funds.Alumni Ventures always co‑invests alongside a lead VC, using the lead's conviction, sector expertise, and diligence as a key signal.The platform also offers a syndicate where accredited investors can opt in to see and back individual deals, including those tagged for quantum.Quantum in the Alumni Ventures portfolioAlumni Ventures has 5–6 quantum‑related investments spanning hardware, software, and applications, including Rigetti, Atom Computing, Q‑CTRL, Classiq, and quantum‑error‑mitigation startup Qedma/Cadmus.Rigetti was one of the firm's earliest quantum investments; the team followed on across multiple rounds and was able to return capital to investors after Rigetti's SPAC and a strong period in the public markets.Chris also highlights interest in Cycle Dre (a new company from Rigetti's former CTO) and application‑layer companies like InQ and quantum sensing players.Barbell funding and the “3–5 year” viewChris responds to the now‑familiar “barbell” funding picture in quantum— a few heavily funded players and a long tail of small companies—by emphasizing near‑term revenue over pure science experiments.He sees quantum entering an era where companies must show real products, customers, and revenue, not just qubit counts.Over the next 3–5 years, he expects meaningful commercial traction first in areas like quantum sensing, navigation, and point solutions in chemistry and materials, with full‑blown fault‑tolerant systems further out.Hybrid compute and NVIDIA's signal to the marketChris points to Jensen Huang's GTC 2025 keynote slide on NVIDIA's hybrid quantum–GPU ecosystem, where Alumni Ventures portfolio companies such as Atom Computing, Classiq, and Rigetti appeared.He notes that NVIDIA will not put “science projects” on that slide—those partnerships reflect a view that quantum processors will sit tightly coupled next to GPUs to handle specific workloads.He also mentions a large commercial deal between NVIDIA and Groq (a classical AI chip company in his portfolio) as another sign of a more heterogeneous compute future that quantum will plug into.Where near‑term quantum revenue shows upChris expects early commercial wins in sensing, GPS‑denied navigation, and other narrow but valuable applications before broad “quantum advantage” in general‑purpose computing.Software and middleware players can generate revenue sooner by making today's hardware more stable, more efficient, or easier to program, and by integrating into classical and AI workflows.He stresses that investors love clear revenue paths that fit into the 10‑year life of a typical venture fund.University spin‑outs, clustering, and deal flowAlumni Ventures certainly sees clustering around strong quantum schools like MIT, Harvard, and Yale, but Chris emphasizes that the “alumni angle” is secondary to the quality of the venture deal.Mature tech‑transfer offices and standard Delaware C‑corps mean spinning out quantum IP from universities is now a well‑trodden path.Chris leans heavily on network effects—Alumni Ventures' 800,000‑person network and 1,300‑company CEO base—as a key channel for discovering the most interesting quantum startups.Managing risk in a 100‑hardware‑company worldWith dozens of hardware approaches now in play, Chris uses Alumni Ventures' co‑investor model and lead‑investor diligence as a filter rather than picking purely on physics bets.He looks for teams with credible near‑term commercial pathways and for mechanisms like sensing or middleware that can create value even if fault‑tolerant systems arrive later than hoped.He compares quantum to past enabling waves like nanotech, where the biggest impact often shows up as incremental improvements rather than a single “big bang” moment.Democratizing access to quantum ventureAlumni Ventures allows accredited investors to join its free syndicate, self‑attest accreditation, and then see deal materials—watermarked and under NDA—for individual investments, including quantum.Chris encourages people to think in terms of diversified funds (20–30 deals per fund year) rather than only picking single names in what is a power‑law asset class.He frames quantum as a long‑duration infrastructure play with near‑term pockets of usefulness, where venture can help investors participate in the upside without getting ahead of reality.