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Helical Brew

Helical Brew

Di: Sura Hadi | Mike Ouren | Elizabeth Rodziewicz
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 Just like the DNA of Life from which the phrase, the DNA of Technology originated, the helical construct is a rollercoaster of endless learning, experimentation, and discovery. The Helical Brew Crew is here to take you along for the ride in a fun, relaxed and informative podcast that explores the twists and turns of technology. We are an enthusiastic group of engineering, scientific, and business professionals that share a passion for the development, mastery, and deployment of technology.Sura Hadi | Mike Ouren | Elizabeth Rodziewicz
Episodi
  • #55 - Standardization B4 Intelligence: Building the AI-Ready Lab Stack

    #55 - Standardization B4 Intelligence: Building the AI-Ready Lab Stack
    Jan 15 2026
    Guests:🎙️ Lukas Bromig - Co-CEO & Founder at UniteLabs (Munich), building infrastructure for AI-ready labs👩‍🔬 Hosts: Sura Hadi & Mike Ouren🎧 Episode Title:“Standardization Before Intelligence: Building the AI-Ready Lab Stack”AI is moving fast - but labs are still stuck in the interface gap.In this episode, Lukas Bromig joins Helical Brew to explain why standardization is the real bottleneck before AI can safely and reliably run anything in the lab.If every instrument speaks a different protocol, orchestration becomes faith-based. If your workflows live inside black boxes, AI can generate intent — but it won’t generate executable reality.We break down what “AI-ready” actually means, why “just integrate it” is a dangerous phrase, and why the future lab needs an operating system — not another stack of point solutions.🎯 What You’ll LearnThe “non-controversial” standard labs still argue about endlessly (and why).Why Bluetooth/USB-level interoperability doesn’t exist in labs (yet).The 3 layers of standardization: device interface → data structure → workflow language.Why most automation projects stall because of just a few instruments.What “AI-ready” means in practical terms inside the lab (not the boardroom).Why AI-generated code is often pseudocode that won’t run — and what fixes that.Where AI should NOT execute in robotics workflows (and why you need a “compiler layer”).Why “no black boxes” + full visibility is the core requirement of a Lab OS.How buyers can force change: making open interfaces a procurement requirement.💡 Picks of the Week🧠 Lukas — Claude Code for rapid prototyping + fountain pens (bring handwriting back)🧰 Mike — SLAS Boston + Passport to Prizes (win a trip to SLAS Europe Vienna 2026)👩‍🔬 Sura — Making interoperability + ownership a first-class requirement in lab design👇 Discussion PromptIf AI exposes weak foundations faster than it creates new capability…what should labs standardize first: device protocols, data structures, or workflow language?Drop your take — we’ll pin the best answers.🎬 Chapters00:00 – Cold Open: Standardization Before Intelligence00:18 – Welcome to Helical Brew + Introducing Lukas Bromig01:10 – Icebreaker: The lab standard that shouldn’t be controversial03:00 – Why every instrument interface is different05:05 – “Just integrate it” is a dangerous phrase07:10 – The black box problem in lab automation software10:00 – Rebuilding the same integrations over and over13:10 – Why standardization is the real bottleneck15:30 – The three layers of lab standardization19:10 – Data structure vs data format (why context matters)22:40 – Why AI-generated SOP code doesn’t actually run26:10 – The missing compiler layer: validation + error handling29:40 – Why AI should never directly control instruments32:30 – What a real Lab Operating System enables36:10 – Scientists vs automation engineers: future roles39:40 – Standardization without killing flexibility43:00 – Procurement leverage: demanding open interfaces46:00 – Infrastructure decisions that matter in 5 years49:10 – Picks of the Week53:20 – SLAS Boston, UniteLabs & Wrap-Up🔔 Subscribe to Helical BrewWe explore the intersection of AI, automation, and the future of science.Subscribe → / @helicalbrew 📩 Want to promote or be a guest? helicalbrew@gmail.com🌐 Easy link hub: helicalbrew.com📍 TikTok/IG + more: @helicalbrew📌 SHORTS (Quick Clips from the Episode)▶️ • Why Lab Automation Still Has No “Bluetooth... ▶️ • Where AI Should NOT Touch Your Lab Robots ... #HelicalBrew #AIThoughtLeaders #LabAutomation #AIReadyLab #LabInformatics #ScientificSoftware #Robotics #AutomationEngineering #Interoperability #OpenAPIs #DigitalTransformation #AIinBiotech #SystemsEngineering #SLAS #FutureOfScience #ai #podcast #viralvideo #viralshorts
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    1 ora e 1 min
  • #53 - Mac Brew with Mike Ouren

    #53 - Mac Brew with Mike Ouren
    Jan 14 2026
    This week on Helical Brew, Mike Ouren takes the mic solo for a deep dive into Apple — from the early PowerBook days to today’s M4 Macs, iPhone evolution, and the massive shift coming with iPadOS 26.From the “every-year iPhone upgrader” cycle to the future of Mac silicon and the return of Apple’s glassy aesthetic, Mike breaks down how Apple got here, what they’re getting right, and what’s around the corner.KEY TAKEAWAYS:• The PowerBook G3 era and why buying “the last model” is a risk• OS X’s glassy origins and why Apple brought that look back in 2026• What the 20-year anniversary iPhone means for Apple’s roadmap• Mike’s upgrade confession — why every-other-year just works• How the M4 changed everything for Macs, especially the Mac Mini• Apple Silicon, yield strategy, and why Intel Macs are effectively done• Why the M1 MacBook Air at $599 is still a powerhouse• GPU changes in M4 and whether Apple will ever get AAA games• iPadOS 26 and the biggest UI change since the original iPad• Why MacRumors is still Mike’s go-to for buying decisions• The real economics of a 5–6 year Mac ownership cycle• SLAS 2026 preview and what’s next for Helical BrewIf you're deep into the Apple ecosystem — or just trying to figure out when the right time is to upgrade your gear — this is the episode for you.Subscribe to Helical Brew for more conversations at the intersection of science, tech, and automation: / @helicalbrew CHAPTERS00:00 Cold Open00:05 Welcome to Helical Brew00:25 MotorWeek & John Davis Tribute03:30 Mike’s First Mac (1998)06:00 Jobs-Era PowerBook & Early OS X08:20 iPhone’s Upcoming 20-Year Anniversary09:35 Breaking the Yearly iPhone Upgrade Cycle11:05 Mac Announcements & the M4 Jump12:00 Leaving the iMac Behind12:45 Dual-Monitor Setup (240 Hz + 60 Hz)13:20 The Mac Mini M4 is Incredible14:20 Apple Silicon Evolution (M1 → M4)16:10 End of Intel Macs16:45 $599 M1 MacBook Air17:40 Memory, Neural Engine & Local AI18:50 GPU Jump in M4 & Gaming Reality Check20:35 iPadOS 26: Windowed Apps & Liquid Glass UI22:25 Why Mike Uses an iPad for Work & Travel23:15 MacRumors: Best Place to Compare M-Chips24:30 The 5–6 Year Mac Ownership Strategy25:05 Wrapping Up Apple Talk25:25 SLAS 2026 Preview26:40 Where to Find Helical Brew27:10 Final Sign-OffHelical Brew Website: https://helicalbrew.comHelical Brew Spotify: https://open.spotify.comHelical Brew Apple Podcasts: https://podcasts.apple.comSLAS 2026 Information: https://slas.org#HelicalBrew #MikeOuren #AppleEcosystem #MacMiniM4 #AppleSilicon #iPhone20Years #iPadOS26 #MacRumors #TechPodcast #AutomationPodcast #MacHistory #STEMCreators #TechDeepDive #AppleTalk #MacUpgradeGuide #ProductivityTech #ScienceMeetsBusiness
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    25 min
  • #52 - Beyond the Algorithm: Measuring AI Confidence in Biomanufacturing

    #52 - Beyond the Algorithm: Measuring AI Confidence in Biomanufacturing
    Jan 13 2026
    🎙️ Masaki Yamada — Head of Product at Invert, helping biomanufacturing teams quantify trust in AI.👩‍🔬 Hosts: Sura Hadi & Mike Ouren🎧 Episode Title:“Beyond the Algorithm: Measuring AI Confidence in Biomanufacturing”Hallucinations, trust, and the space between - that’s where the future of science is being written.From NASA’s microbial fuel cells to AI-native bioprocessing, Masaki Yamada joins us to unpack how Invert is helping scientists measure something once thought unquantifiable: confidence in AI.This episode dives deep into the evolving relationship between humans and algorithms in the biomanufacturing world — exploring trust, reproducibility, and what it means to build a digital scientist that actually knows when it’s wrong.🎯 What You’ll LearnWhy “hallucinations” in AI aren’t always bad — and when they definitely are.How Invert uses evals to measure model reliability in real-world biotech settings.The difference between objective vs. subjective AI benchmarking.How digital transformation is really going inside major biopharma labs.What the “AI-native scientist” of the future looks like.💡 Picks of the Week📚 Masaki Yamada – The Stormlight Archive by Brandon Sanderson🧰 Mike Ouren – The MagSafe Grip & “The Ticket” Seatbelt Gadget🧠 Sura Hadi – KDP self-publishing exploration for indie creators👇 What’s the right balance between creativity and control when it comes to AI in science? Drop your thoughts in the comments — we’ll feature the best takes next episode.🎬 Chapters00:00 – Cold Open00:15 – Welcome to the AI Thought Leaders Series01:00 – The Hallucination Debate: Creativity vs. Accuracy03:16 – What “Trust” Means in Biomanufacturing07:16 – Defining Confidence in AI Outputs10:06 – Human Benchmarking & Evals11:34 – NASA Origins: From Space Fuel Cells to Biotech15:04 – Inside Invert: Structuring Data for Transparency19:44 – From Paper to Platform: Digital Transformation Realities24:21 – Are Labs Really Digitized?25:46 – Adoption, Resistance & Culture Change27:55 – Security, IP & Data Trust28:28 – Designing the Future: People-in-the-Loop Automation33:05 – Digital Cognition: The Next Phase of AI Integration37:51 – The AI-Native Scientist40:01 – Picks of the Week46:56 – Wrap-Up🔔 Subscribe to Helical BrewWe explore the intersection of AI, automation, and the future of science.Subscribe & never miss an episode → / @helicalbrew 📩 Want to promote or be a guest? Email us: helicalbrew@gmail.com📍 TikTok, Shorts & more: @helicalbrew📌 SHORTS (Quick Clips from the Episode)▶️ • “Hallucinations, On Purpose?” #helicalbrew... ▶️ • Measure Trust, Not Hype #helicalbrew #vira... #HelicalBrew #AIThoughtLeaders #LabAutomation #BiotechInnovation #SciencePodcast #AIinScience #AIinBiotech #Biomanufacturing #MachineLearning #DigitalTransformation #Invert #DataIntegrity #Reproducibility #AutomationInBiotech #FutureOfScience #PodcastShorts #ScienceAndTech
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    48 min
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