POPULARITY
Categories
289 episodes with llm
82 episodes with llm
145 episodes with llm
64 episodes with llm
44 episodes with llm
85 episodes with llm
32 episodes with llm
34 episodes with llm
36 episodes with llm
22 episodes with llm
81 episodes with llm
20 episodes with llm
21 episodes with llm
49 episodes with llm
16 episodes with llm
26 episodes with llm
20 episodes with llm
12 episodes with llm
23 episodes with llm
18 episodes with llm
33 episodes with llm
24 episodes with llm
24 episodes with llm
14 episodes with llm
15 episodes with llm
15 episodes with llm
16 episodes with llm
8 episodes with llm
15 episodes with llm
36 episodes with llm
12 episodes with llm
13 episodes with llm
13 episodes with llm
10 episodes with llm
31 episodes with llm
19 episodes with llm
9 episodes with llm
8 episodes with llm
19 episodes with llm
28 episodes with llm
9 episodes with llm
14 episodes with llm
11 episodes with llm
7 episodes with llm
9 episodes with llm
6 episodes with llm
7 episodes with llm
7 episodes with llm
8 episodes with llm
13 episodes with llm
7 episodes with llm
9 episodes with llm
8 episodes with llm
33 episodes with llm
8 episodes with llm
9 episodes with llm
14 episodes with llm
8 episodes with llm
7 episodes with llm
8 episodes with llm
9 episodes with llm
13 episodes with llm
5 episodes with llm
6 episodes with llm
8 episodes with llm
8 episodes with llm
7 episodes with llm
9 episodes with llm
4 episodes with llm
6 episodes with llm
10 episodes with llm
6 episodes with llm
4 episodes with llm
6 episodes with llm
4 episodes with llm
122 episodes with llm
122 episodes with llm
9 episodes with llm
7 episodes with llm
5 episodes with llm
5 episodes with llm
4 episodes with llm
6 episodes with llm
3 episodes with llm
5 episodes with llm
5 episodes with llm
8 episodes with llm
6 episodes with llm
6 episodes with llm
5 episodes with llm
5 episodes with llm
3 episodes with llm
5 episodes with llm
5 episodes with llm
3 episodes with llm
5 episodes with llm
5 episodes with llm
4 episodes with llm
5 episodes with llm
4 episodes with llm
6 episodes with llm
4 episodes with llm
2 episodes with llm
7 episodes with llm
4 episodes with llm
6 episodes with llm
5 episodes with llm
3 episodes with llm
5 episodes with llm
5 episodes with llm
5 episodes with llm
8 episodes with llm
8 episodes with llm
6 episodes with llm
3 episodes with llm
12 episodes with llm
4 episodes with llm
12 episodes with llm
3 episodes with llm
5 episodes with llm
5 episodes with llm
5 episodes with llm
4 episodes with llm
3 episodes with llm
4 episodes with llm
4 episodes with llm
3 episodes with llm
3 episodes with llm
2 episodes with llm
3 episodes with llm
3 episodes with llm
4 episodes with llm
4 episodes with llm
3 episodes with llm
5 episodes with llm
5 episodes with llm
3 episodes with llm
6 episodes with llm
3 episodes with llm
4 episodes with llm
3 episodes with llm
6 episodes with llm
4 episodes with llm
4 episodes with llm
3 episodes with llm
2 episodes with llm
3 episodes with llm
4 episodes with llm
4 episodes with llm
60 episodes with llm
3 episodes with llm
3 episodes with llm
3 episodes with llm
Marketing technology strategy faces unprecedented complexity as AI transforms customer behavior. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, explains how 2026 will shift power from marketers to AI-empowered buyers. He covers context engineering as the evolution beyond prompt engineering, combining deterministic workflows with adaptive LLM capabilities for better data analysis and customer service automation. Brinker predicts orchestration platforms will emerge to manage the chaos as every employee becomes a software developer through AI tools.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
One of my favorite genre rabbit holes that I went down in 2025 was instrumental rock music. That title covers a lot of styles from post-rock to stoner rock to prog rock to cosmic country to fusion to psych rock etc. I've always listened to music that falls into this category whether it's Khruangbin or Causa Sui or Oren Ambarchi but this year my interest in this genre exploded. So I thought I would create a mix of some of my favorite instrumental rock albums from 2025. I was surprised at how much I enjoyed the heavy stuff. This mix has a nice blend of a few heavy tunes with some Khruangbin-like tracks, a couple kraut rock style tracks, a jam band cut, a prog tune, even a dub track, and a bunch of other difficult to categorize music. >>>LINKS TO ALL THE MUSIC USED IN THIS MIX
This Week In Startups is made possible by:Crusoe Cloud - https://crusoe.ai/buildUber - http://uber.com/twistEvery.io - http://every.io/Today's show: Jason and Alex are BACK on TWiST for 2026! This holiday season was anything but calm, with deca-corn acquisitions, massive Polymarket bets, and major new startups breaking from stealth!Jason talks the recent Nvidia-Groq $20B acquisition, a major exit for Chamath as the lead investor back in 2017! Jason delves into how the VC fund math shapes out for pre-seed VC funds vs. Series A VC funds.Jason and Alex delve into drama swirling META's AI team. Yann LeCun, META's former Chief AI Scientist, announced that he would be leaving META to become Executive Chairman at AMI Labs. LeCun left the META team in the new year, calling the new Chief AI Scientist, Alexandr Wang, inexperienced. LeCun now looks to move AI beyond the era of LLM at AMI Labs.PLUS Jason and Alex talk about the new social media app Tangle, from Biz Stone, co-founder of Twitter, and Evan Sharp, co-founder of Pinterest. Their Startup, West Co, launched tangle, which seeks to become an “intentional living” app. The two look to improve how humans interact with modern tech. Jason points out that very few news products have worked, but is eager to see how two industry veterans build in the space. Timestamps:(00:00) Why Restaurants are OVER — Peptides and other self medications(06:41) Nvidia Acqui-Hires Groq for $20 BILLION(9:48) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/build to reserve your capacity for the latest GPUs today.(11:00) The VC fund math between seed vs. Series A funds(15:00) META buys TWiST 500 Company, Manus! Why it matters.(20:20) Uber AI Solutions: Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist(21:24) Why Yann LeCun left META, and what could be behind it(25:27) Producer Claude on the Gondola Crash in Zurich(29:13) Jason's Request for Augmented human intelligence(30:11) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit http://every.io/(32:04) How one Trader made $436.8k on one bet on polymarket!(36:05) Jason's Predictions for 2026 IPOs(40:01) Is news broken? How Tangle is tackling it.(45:53) How much should startup incur in legal expenses? Should founders try to use AI to avoid costs?(50:59) Why Google should let NotebookLM cook, make it a standalone brand! *Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(9:48) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/build to reserve your capacity for the latest GPUs today.(20:20) Uber AI Solutions: Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist(30:11) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit http://every.io/
MarTech faces an 8.6% vendor churn rate despite AI expansion. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, shares insights on navigating the evolving landscape where AI didn't consolidate MarTech but fragmented it further. He discusses context engineering as the evolution beyond prompt engineering, combining deterministic workflows with LLM capabilities for better data analysis and customer service automation. Brinker predicts 2026 will shift focus from AI for marketers to AI for customers, fundamentally disrupting traditional sales playbooks as buyers gain information asymmetry through agentic browsers and AI assistants.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
ChatGPT visits surged 90% year-over-year to nearly 6 billion. Josh Blyskal, Head of AI Strategy at Profound, reveals how his team's billion-citation research shows context-driven content and strategic FAQ implementation drive 848% higher performance in AI search results. The discussion covers fanout query analysis for identifying actual LLM search patterns, prompt volume data for strategic content planning, and practical frameworks for transitioning enterprise SEO strategies to generative engine optimization before competitors dominate AI-driven discovery.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Revenue Generator Podcast: Sales + Marketing + Product + Customer Success = Revenue Growth
MarTech faces an 8.6% vendor churn rate despite AI expansion. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, shares insights on navigating the evolving landscape where AI didn't consolidate MarTech but fragmented it further. He discusses context engineering as the evolution beyond prompt engineering, combining deterministic workflows with LLM capabilities for better data analysis and customer service automation. Brinker predicts 2026 will shift focus from AI for marketers to AI for customers, fundamentally disrupting traditional sales playbooks as buyers gain information asymmetry through agentic browsers and AI assistants.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This is a special episode, highlighting a session from ELC Annual 2025! Bill Coughran (Partner @ Sequoia Capital & former SVP of Engineering @ Google) and Bret Reckard (Talent Partner @ The General Partnership) deconstruct the evolving role of engineering leadership in an era dominated by AI hype. Bill is a legendary leader who joined Google right after the .com bubble and has seen every major industry shift since. Drawing on his experience scaling Google and advising world-class startups, Bill shares why the best leaders are "catastrophic thinkers," how to balance servant leadership with the need for decisive action, and why AI is forcing every leader to return to their technical roots. Plus they cover enduring companies and real value capture in the AI era, the nuances of organizational design, the "apprentice model" for mentorship and the dangers of over-layered hierarchies that stifle speed. Bill also provides a candid look at leadership transitions, offering a tactical guide for those moving from Big Tech to early-stage startups. ABOUT BILL COUGHRANBill Coughran works as a founders' coach and partner at Sequoia Capital to help build spectacular technology-centric companies. Previously, Bill was Senior Vice President of Engineering at Google with oversight of Chrome, YouTube, maps, google.com, underlying infrastructure systems, and security.ABOUT BRET RECKARDBret Reckard is Talent Partner at The General Partnership (TheGP), a hands-on venture firm working alongside ambitious founders in talent, engineering, go-to-market, and product. He leads TheGP's Talent vertical, matching foundational leaders, early engineers, and key specialists across the portfolio. Before this role, Bret spent over a decade at Sequoia Capital leading Talent and Network, where he helped hundreds of founders at companies like Stripe, Confluent, Retool and DoorDash build their early teams. This episode is brought to you by Span!Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…Go to Span.app to learn more! SHOW NOTES:Introduction and Bill Coughran's background at Sequoia and Google (1:36)Hiring pitfalls and the biggest mistakes made as a leader (3:49)Managing crises: Acting as a dictator during the 2010 Google hack (5:25)Building for the AI world without chasing "shiny objects" (7:09)Developing context: How to learn AI without relying on LLM summaries (9:02)Identifying enduring companies and real value capture in the AI era (10:53)The debate on coding assistants and the future of junior engineering talent (13:23)Transitions: Making the leap from large organizations to early-stage startups (15:59)Staying curious and finding excitement in the next professional challenge (18:23) LINKS AND RESOURCESLink to the video for this sessionLink to all ELC Annual 2025 sessions This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
It's been a travel-heavy hiatus—Mark's been living in Spain and Shashank's been bouncing across Asia (including a month in China)—but they're back to unpack a packed week of AI news. They start with the headline hardware story: the Groq (GROQ) deal/partnership dynamics and why ultra-fast inference is becoming the next battleground, plus how this could reshape access to cutting-edge serving across the ecosystem. From there, they pivot to NVIDIA's CES announcements and what “Vera Rubin” implies for data center upgrades, cost-per-token curves, and the messy real-world math of rolling hardware generations. Shashank then brings the future to life with on-the-ground stories from China: a Huawei “everything store” that feels like an Apple Store meets a luxury dealership, folding devices that look straight out of sci-fi, and a parade of robots—from coffee bots to delivery robots that can ride elevators and deliver to your hotel room. They also touch on companion-style consumer robots and why “cute” might be a serious product strategy. Finally, Mark announces the launch of Novacut, a long-form AI video editor built to turn hours of travel footage into a coherent vlog draft—plus export workflows for Premiere, DaVinci Resolve, and Final Cut. They close by talking about the 2026 shift from single model calls to “agentic” systems, including a fun (and slightly alarming) lesson from LLM outcome bias using poker hand reviews. Topics include: Groq inference, NVIDIA + CES, Vera Rubin GPUs, GPU depreciation math, China robotics, Huawei ecosystem, hotel delivery bots, companion robots, Novacut launch, Cursor vs agent workflows, and why agents still struggle with sparse feedback loops. Link mentioned: Novacut — https://novacut.ai
In this episode, Dr. Sebastian (Seb) Benthall joins us to discuss research from his and Andrew's paper entitled “Validity Is What You Need” for agentic AI that actually works in the real world. Our discussion connects systems engineering, mechanism design, and requirements to multi‑step AI that creates enterprise impact to achieve measurable outcomes.Defining agentic AI beyond LLM hypeLimits of scale and the need for multi‑step controlTool use, compounding errors, and guardrailsSystems engineering patterns for AI reliabilityPrincipal–agent framing for governanceMechanism design for multi‑stakeholder alignmentRequirements engineering as the crux of validityHybrid stacks: LLM interface, deterministic solversRegression testing through model swaps and driftMoving from universal copilots to fit‑for‑purpose agentsYou can also catch more of Seb's research on our podcast. Tune in to Contextual integrity and differential privacy: Theory versus application.What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.
Real-world risks and responsible use of AI kick off the second part of our conversation with The Long Island Macintosh Users Group. The group swaps scam stories (spoofed bank calls, W-2 phishing, ransomware) and how AI can amplify fraud. Ways to mitigate exposure in an AI-powered world include cyber insurance, privacy tradeoffs in popular AI tools, copyright/IP guardrails in image generation, and careful experimentation. This edition of MacVoices is supported by MacVoices After Dark. What happens before and after the shows is uncensored, on-topic, off-topic, and always off the wall. Sign up as a MacVoices Patron and get access! http://patreon.com/macvoices Show Notes: Chapters: [0:00] Scams refresher: don't click, verify directly [2:18] Why scams work: volume, pressure, and “sensibility” [3:44] Spoofed bank calls and how to break the script [5:49] Small businesses as targets; cyber insurance gap [7:12] Photo scanning business: liability vs. cyber coverage [11:35] W-2 breach fallout; IRS PINs and identity theft [13:42] Ransomware economics and “references” story [20:13] LLM choices: ChatGPT vs. Perplexity; citations and accuracy [21:58] Scraping, paywalls, and plagiarism concerns [26:16] Privacy tradeoffs and risk assumptions [31:06] Apple, encryption backdoors, and trust [34:56] Human review triggers; sensitive prompts [38:33] Closing: experiment, but stay cautious [40:50] Synthetic hosts, AI conversations, and credibility risks [41:10] AI companions and teen harms; responsibility and guardrails [42:15] Phones in schools; education over bans [46:51] Wrap-up and thanks Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
Real-world risks and responsible use of AI kick off the second part of our conversation with The Long Island Macintosh Users Group. The group swaps scam stories (spoofed bank calls, W-2 phishing, ransomware) and how AI can amplify fraud. Ways to mitigate exposure in an AI-powered world include cyber insurance, privacy tradeoffs in popular AI tools, copyright/IP guardrails in image generation, and careful experimentation. This edition of MacVoices is supported by MacVoices After Dark. What happens before and after the shows is uncensored, on-topic, off-topic, and always off the wall. Sign up as a MacVoices Patron and get access! http://patreon.com/macvoices Show Notes: Chapters: [0:00] Scams refresher: don't click, verify directly [2:18] Why scams work: volume, pressure, and "sensibility" [3:44] Spoofed bank calls and how to break the script [5:49] Small businesses as targets; cyber insurance gap [7:12] Photo scanning business: liability vs. cyber coverage [11:35] W-2 breach fallout; IRS PINs and identity theft [13:42] Ransomware economics and "references" story [20:13] LLM choices: ChatGPT vs. Perplexity; citations and accuracy [21:58] Scraping, paywalls, and plagiarism concerns [26:16] Privacy tradeoffs and risk assumptions [31:06] Apple, encryption backdoors, and trust [34:56] Human review triggers; sensitive prompts [38:33] Closing: experiment, but stay cautious [40:50] Synthetic hosts, AI conversations, and credibility risks [41:10] AI companions and teen harms; responsibility and guardrails [42:15] Phones in schools; education over bans [46:51] Wrap-up and thanks Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this exclusive interview, Vince Menzione sits down with Darryl Peek, Vice President for Partner Sales (Public Sector) at Elastic, to decode how Elastic achieved the rare “triple crown”—winning Partner of the Year across Microsoft, Amazon, and Google Cloud simultaneously. Darryl breaks down the engineering-first approach that makes Elastic sticky with hyperscalers, reveals the rigorous metrics behind their partner health scorecard, and shares his personal “one-page strategy” for aligning mission, vision, and execution. From leveraging generative AI for cleaner sales hygiene to the timeless lesson of the “Acre of Diamonds,” this conversation offers a masterclass in building high-performance partner ecosystems in the public sector and beyond. https://youtu.be/__GE0r2fPuk Key Takeaways Elastic achieved “Pinnacle” status by aligning engineering roadmaps directly with hyperscaler innovations to become essential infrastructure. Successful public sector sales require a dual approach: leveraging resellers for contract access while driving domain-specific co-sell motions. Partner relationships outperform contracts; consistency in communication is more valuable than only showing up for renewals. Effective partner organizations track “influence” revenue just as rigorously as direct bookings to capture the full value of SI relationships. Generative AI can automate sales hygiene, turning scattered meeting notes into actionable CRM data and reducing friction for sales teams. The “Acre of Diamonds” philosophy reminds leaders that the greatest opportunities often lie within their current ecosystem, not in distant new markets. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Keywords: Elastic, Darryl Peek, public sector sales, hyperscaler partnership, Microsoft Partner of the Year, AWS Partner of the Year, Google Cloud Partner, partner ecosystem strategy, co-sell motion, partner metrics, channel sales, government contracting, Carahsoft, generative AI in sales, sales hygiene, Russell Conwell, Acre of Diamonds, open source search, observability, security SIM, vector search, retrieval augmented generation, LLM agnostic, partner enablement, influence revenue, channel booking, SI relationships, strategic alliances. Transcript: Darryl Peek Audio Episode [00:00:00] Darryl Peek: I say, I tell my team from time to time, the difference between contacts and contracts is the R and that’s the relationship. So if you’re not building the relationship, then how do you expect that partner to want to lean in? Don’t just show up when you have a contract. Don’t just show up when you have a renewal. [00:00:13] Darryl Peek: Make sure that you are reaching out and letting them know what is happening. Don’t just talk to me when you need a renewal, right? When you’re at end of quarter and you want me to bring a deal forward, [00:00:23] Vince Menzione: welcome to the Ultimate Guide to Partnering. I’m Vince Menzi. Own your host, and my mission is to help leaders like you achieve your greatest results through successful partnering. [00:00:34] Vince Menzione: We just came off Ultimate Partner live at Caresoft Training Center in Reston, Virginia. Over two days, we gathered top leaders to tackle the real shifts shaping our industry. If you weren’t in the room, this episode brings you right to the edge of what’s next. Let’s dive in. So we have another privilege, an incredible partner, another like we call these, if you’ve heard our term, pinnacle. [00:01:00] Vince Menzione: I think it’s a term that’s not widely used, but we refer to Pinnacle as the partners that have achieved the top rung. They’ve become partners of the year. And our next presenter, our next interview is going to be with an organization. And a person that represents an organization that has been a pinnacle partner actually for all three Hyperscalers, which is really unusual. [00:01:24] Vince Menzione: Elastic has been partner of the Year award winner across Microsoft, Amazon, and Google Cloud, so very interesting. And Darrell Peak, who is the leader for the public sector organization, he’s here in the Washington DC area, was kind enough. Elastic is a sponsor event, and Darryl’s been kind enough to join me for a discussion about what it takes to be a Pinnacle partner. [00:01:47] Vince Menzione: So incredibly well. Excited to welcome you, Darryl. Thank you, sir. Good to have you. I love you. I love your smile, man. You got an incredible smile. Thank you. Thank you, Vince. Thank you. So Darryl, I probably didn’t do it any justice, but I was hoping you could take us through your role and responsibilities at Elastic, which is an incredible organization. [00:02:08] Vince Menzione: Alright. Yeah, [00:02:09] Darryl Peek: absolutely. So Darrell Peak vice President for partner sales for the US public sector at Elastic. I’ve been there about two and a half years. Responsible for our partner relationships across all partner types, whether that’s the system integrators, resellers, MSPs, OEMs, distribution Hyperscalers, and our Technology Alliance partners. [00:02:26] Darryl Peek: And those are partners that aren’t built on the Elastic platform. In regards to how my partner team interacts with our team. Our ecosystem. We are essentially looking to further and lean in with our partners in order for them to, one, understand what Elastic does since we’re such a diverse tool, but also work with our field to understand what are their priorities and how do they identify the right partners for the right requirements. [00:02:50] Darryl Peek: In regards to what Elastic is and what it does elastic is a solution that is actually founded on search and we’re an open source company. And one of the things that I actually did when I left the government, so I worked for the government for a number of years. I left, went and worked for Salesforce, then worked for Google ran their federal partner team and then came over to Elastic because I wanted to. [00:03:11] Darryl Peek: Understand what it meant to be at an open source company. Being at an open source company is quite interesting ’cause you’re competing against yourself. [00:03:17] Vince Menzione: Yeah, that’s true. [00:03:18] Darryl Peek: So it’s pretty interesting. But elastic was founded in 2012 as a search company. So when you talk about search, we are the second most used platform behind Google. [00:03:28] Darryl Peek: So many of you have already used Elastic. Maybe on your way here, if you use Uber and Lyft, that is elastic. That is helping you get here. Oh, that is interesting. If you use Netflix, if you use wikipedia.com, booking.com, eBay, home Depot, all of those are search capabilities. That Elastic is happening to power in regards to what else we do. [00:03:47] Darryl Peek: We also do observability, which is really around application monitoring, logging, tracing, and metrics. So we are helping your operations team. Pepsi is a customer as well as Cisco. Wow. And then the last thing that we do is security when we’re a SIM solution. So when we talk about sim, we are really looking to protect networks. [00:04:03] Darryl Peek: So we all, we think that it’s a data problem. So with that data problem, what we’re trying to do is not only understand what is happening in the network, but also we are helping with threat intelligence, endpoint and cloud security. So all those elements together is what Elastic does. And we only do it two ways. [00:04:18] Darryl Peek: We’re one platform and we can be deployed OnPrem and in the cloud. So that’s a little bit about me and the company. Hopefully it was clear, [00:04:24] Vince Menzione: I’ve had elastic people on stage. You’ve done, that’s the best answer I’ve had. What does Elastic do? I used to hear all this hyperbole and what? [00:04:32] Vince Menzione: What? Now I really understand what you do is an organiz. And the name of the company was Elasticsearch. [00:04:36] Darryl Peek: It was [00:04:37] Vince Menzione: elastic at one time when I first. Worked with you. It was Elasticsearch. [00:04:40] Darryl Peek: Absolutely. Yeah. So many moons ago used to be called the Elk Stack and it stood for three things. E was the Elasticsearch which is a search capability. [00:04:48] Darryl Peek: L is Logstash, which is our logging capability. And Cabana is essentially our visualization capability. So it was called Elk. But since we’ve acquired so many companies and built so much capability into the platform, we can now call it the elastic. Platform. [00:05:00] Vince Menzione: So talk to me about your engagement with the hyperscalers. [00:05:02] Vince Menzione: You’ve been partner of the Year award winner with all three, right? I mentioned that, and you were, you worked for Google for a period of time. Yes. So tell us about, like, how does that work? What does that engagement look like? And why do you get chosen as partner of the year? What are the things that stand out when you’re working with these hyperscalers [00:05:19] Darryl Peek: and with that we are very fortunate to be recognized. [00:05:23] Darryl Peek: So many of the organizations that are out there are doing some of the same capabilities that we do, but they can’t claim that they won a part of the year for all three hyperscalers in the same year. We are able to do that because we believe in the power of partnership, not only from a technology perspective, but also from a sales perspective. [00:05:39] Darryl Peek: So we definitely lean in with our partnerships, so having our engineers talk, having our product teams talk, and making sure that we’re building capabilities that actually integrate within the cloud service providers. And also consistently building a roadmap that aligns with the innovation that the cloud service providers are also building towards. [00:05:56] Darryl Peek: And then making sure that we’re a topic of discussion. So elastic. From a search capability, we do semantic search, vector search, but also retrieval augmented generation, which actually is LLM Agnostic. So when you say LLM Agnostic, whether you want to use Gemini, Claude or even Chad, GBT, those things are something that Elastic can integrate in, but it actually helps reduce the likelihood of hallucination. [00:06:18] Darryl Peek: So when we’re building that kind of solution, the cloud service provider’s you’re making it easy for us, and when you make it easy, you become very attractive and therefore you’re. Likely gonna come. So it becomes [00:06:28] Vince Menzione: sticky in that regard. Very sticky. So it sounds like very much an engineer, a lot of emphasis on the engineering aspects of the business. [00:06:35] Vince Menzione: I know you’re an engineer by background too, right? So the engineering aspects of the business means that you’re having alignment with the engineering organizations of those companies at a very deep level. [00:06:44] Darryl Peek: Absolutely. So I’m [00:06:45] Vince Menzione: here. [00:06:45] Darryl Peek: Yeah. And being at Elastic has been pretty amazing. So coming from Google, we had so many different solutions, so many different SKUs, but Elastic releases every eight weeks. [00:06:54] Darryl Peek: So right before you start to understand the last release, the next release is coming out and we’re already at 9.2 and we just released 9.0 in May. So it’s really blazing fast on the capability that we’re really pushing the market, but it’s really hard to make sure that we get it in front of our partners. [00:07:10] Darryl Peek: So when we talk about our partner enablement strategy, we’re just trying to make sure that we get the right information in front of the right partners at the right time, so this way they can best service their customers. [00:07:19] Vince Menzione: So let’s talk about partner strategy. Alyssa Fitzpatrick was on stage with me at our last event, and she Alyssa’s fantastic. [00:07:25] Vince Menzione: She is incredible. Yes, she is. She was a former colleague at Microsoft Days. Yes. And then she, we had a really interesting conversation. About what it takes, like being in, in a company and then working with the partners in general. And you have, I’m sure you have a lot of the similarities in how you have to engage with these organizations. [00:07:42] Vince Menzione: You’re working across the hyperscalers, you’re also working with the ecosystem too. Yes. ’cause the delivery, you have delivery partners as well. Absolutely. So tell us more about that. [00:07:50] Darryl Peek: So we kinda look at it from a two, two ways from the pre-sales motion and then the post-sales. From the pre-sales side. [00:07:56] Darryl Peek: What we’re trying to do is really maximize our, not only working with partners, because within public sector, you need to get access to customers through contract vehicles. So if you want to get access to some, for instance, the VA or through GSA or others, you have to make sure you’re aligned with the right partners who have access to. [00:08:12] Darryl Peek: That particular agency, but also you want domain expertise. So as you’re working with those system integrators, you wanna make sure that they have capability that aligns. So whether it is a security requirement, you wanna work with someone who specializes in security, observability and search. So that’s the way that we really look at our partner ecosystem, but those who are interested in working with us. [00:08:30] Darryl Peek: Because everybody doesn’t necessarily have a emphasis on working with a new technology partner, [00:08:36] Vince Menzione: right? [00:08:36] Darryl Peek: So what we’re trying to do is saying how do we build programs, incentives and sales plays that really does align and strike the interest of that particular partner? So when we talk about it I tell my team, you have to, my grandfather to say, plan your work and work your plan. And if you fail a plan, you plan to fail. So being able to not only have a strong plan in place, but then execute against that plan, check against that plan as you go through the fiscal year, and then see how you come out at the end of the fiscal year to see are we making that progress? [00:09:01] Darryl Peek: But on the other side of it, and what I get stressed about with my sales team and saying what does partners bring to us? So where are those partner deal registrations? What is the partner source numbers? How are we creating more pipeline? And that is where we’re now saying, okay, how can we navigate and how can we make it easier? [00:09:17] Darryl Peek: And how can we reduce friction in order for the partner to say, okay, elastic’s easy to work with. I can see value in, oh, by the way, I can make some money with. [00:09:25] Vince Menzione: So take us through, have there been examples of areas where you’ve had to like, break through to this other side in terms of growing the partner ecosystem? [00:09:33] Vince Menzione: What’s worked, what hasn’t worked? Yes, I’d love to learn more about that. [00:09:36] Darryl Peek: I’ll say that and I tell my team one, you partner program is essential, right? If you don’t have an attractive partner program in regards to how they come on board, how they’re incentivized the right amount of margin, they won’t even look at you. [00:09:49] Darryl Peek: The second thing is really how do you engage? So a lot of things start with relationships. I think partnerships are really about relationships. I say I tell my team from time to time, the difference between contacts and contracts is the R and that’s the relationship. So if you’re not building the relationship, then how do you expect that partner to want to lean in? [00:10:07] Darryl Peek: Don’t just show up when you have a contract. Don’t just show up when you have a renewal. Make sure that you are reaching out and letting them know what is happening. I like the what Matt brought up in saying, okay, talk to me when you have a win. Talk to me when you have something to talk about. [00:10:22] Darryl Peek: Don’t just talk to me when you need a renewal. When you’re at end the quarter and you want me to bring a deal forward, that doesn’t help ab absolutely. [00:10:28] Vince Menzione: So engineering organizations, sales organizations, what are, what does a healthy partnership look like for you? [00:10:35] Darryl Peek: So I look at metrics a lot and we use a number of tools and I know folks are using tools out there. [00:10:41] Darryl Peek: I won’t name any tools for branding purposes, but in regards to how we look at tools. So some things that we measure closely. Of course it’s our partner source numbers, so partner source, bookings, and pipeline. We look at our partner attached numbers and pipeline as well as the amount or percentage of partner attached business that we have in regards to our overall a CV number. [00:11:00] Darryl Peek: We also look at co-sell numbers, so therefore we are looking at not only how. A partner is coming to us, but how is a partner helping us in closing the deal even though they didn’t bring us the deal? We’re also looking at our cloud numbers and saying what amount of deals and how much business are we doing with our cloud service providers? [00:11:15] Darryl Peek: Because of course we wanna see that number go up year over year. We wanna actually help with that consumption number because not only are we looking at it from a SaaS perspective, but also if the customer has to commit we can help burn that down as well. We also look at influence numbers. [00:11:27] Darryl Peek: Now, one of the harder things to do within a technology business is. Capturing all that si goodness. And saying how do I reflect the SI if they’re not bringing me the deal? And I can’t attribute that amount of deal to that particular partner, right? And the way that we do that is we just tag them to the influence. [00:11:44] Darryl Peek: So we’re able to now track influence. And also the M-S-P-O-E-M work that we are also tracking and also we’re tracking the royalties. And lastly is the professional service work that we do with those partners. So we’re looking to go up into the right where we start them out at our select level, we go to our premier level and then our elite level. [00:12:00] Darryl Peek: But left and to the right, I say you gotta go from zero to one, one to five, five to 10, and then 10 to 25. So if we can actually see that progression. That is where we’re really starting to see health in the partnership, but also the executive alignment is really important. So when our CEO is able to meet with the fellow CEO of the co partner company that is really showing how we are progressing, but also our VPs and others that are engaged. [00:12:20] Darryl Peek: So those are things that we really do measure. We do have a health score card and also, we track accreditations, we track certifications as well as training outcomes based on our sales place. [00:12:30] Vince Menzione: Wow. There’s a lot of metrics there. Yeah. So you didn’t bring, you didn’t bring any slides with that out? [00:12:35] Darryl Peek: Oh, no. I’m not looking at slides, by the way. [00:12:40] Vince Menzione: Let’s talk about marketplace. [00:12:42] Darryl Peek: All right? [00:12:42] Vince Menzione: Because we’ve had a lot of conversations about marketplace. We’ve got both vendors up here talking about marketplace and the importance of marketplace, right? You’ve been a Marketplace Award winner. We haven’t really talked about that, like that motion per se. [00:12:55] Vince Menzione: I’d love to s I’d love to hear from you like how you, a, what you had to overcome to get to marketplace, what the marketplace motion looks like for your organization, what a marketplace first motion looks like. ’cause a lot of your cut a. Are all your customers requiring a lot of direct selling effort or is it some of it through Marketplace? [00:13:14] Vince Menzione: Like how does it, how does that work for you? [00:13:15] Darryl Peek: So Elastic is a global organization. Yeah. So we’re, 40 different countries. So it depends on where we’re talking. So if we talk about our international business, which is our A PJ and EMEA business we are seeing a lot more marketplace and we’re seeing that those direct deals with customers. [00:13:28] Darryl Peek: Okay. And we’re talking about our mirror business. A significant amount goes through marketplace and where our customers are transacting with the marketplace and are listing. On the marketplace within public sector, it’s more of a resell motion. Okay. So we are working with our resellers. [00:13:39] Darryl Peek: So we work our primary distribution partner is Carahsoft. So you heard from Craig earlier. Yes. We have a strong relationship with Carahsoft and definitely a big fan of this organization. But in regards to how we do that and how we track it we are looking at better ways to, track that orchestration and consumption numbers in order to see not only what customers we’re working with, but how can we really accelerate that motion and really get those leads and transactions going. [00:14:03] Vince Menzione: Very cool. Very cool. And I think part of the reason why in, in the government or public sector space it has a lot to do with the commitments are different. Absolutely. So it’s not government agencies aren’t able to make the same level of commitments that, private sector organizations were able to make, so they were able to the Mac or Microsoft parlance and also a AWS’s parlance. [00:14:23] Vince Menzione: Yeah, [00:14:24] Darryl Peek: definitely a different dynamic. Yeah. And especially within the public sector. ’cause we have Gov Cloud to work with, right? That’s right. So we’re working with Microsoft or we’re working with AWS, they have their Gov cloud and then we Google, they don’t have a Gov cloud, but we still have to work with them differently. [00:14:35] Darryl Peek: Yeah. Within that space. That’s [00:14:36] Vince Menzione: right. That’s right. So it makes the motion a little bit differently there. So I think we talked through some of this. I just wanna make sure we cover our points [00:14:43] Darryl Peek: here. One thing I’ll do an aside, you talked about the acre of diamonds. I’m a big fan of that story. [00:14:47] Vince Menzione: Yeah, let’s talk about Russ Con. Yeah, [00:14:49] Darryl Peek: let’s talk about it. Do you all know about the Acre Diamonds? Have you all heard that story before? No. You have some those in the audience. [00:14:55] Vince Menzione: I, you know what, let’s talk about it. All [00:14:56] Darryl Peek: See, I’m from Philadelphia. [00:14:57] Vince Menzione: I didn’t know you were a family. My daughter went to Temple University. [00:14:59] Vince Menzione: Ah, [00:15:00] Darryl Peek: okay. That’s all I know. So Russell Conwell. So he was, a gentleman out of the Philadelphia area and he went around town to raise money and he wanted to raise money because he believed that there was a promise within a specific area. And as he continued to raise this money, he would tell a story. [00:15:14] Darryl Peek: And basically it was a story about a farmer in Africa. And the farmer in Africa, to make it really short was essentially looking to be become very wealthy. And because he wanted to become very wealthy, he believed that selling his farm and going off to a long distant land was the primary way for him to find diamonds. [00:15:28] Darryl Peek: And this farmer didn’t sold us. Sold his place, then went off to to this foreign land, and he ended up dying. And people thought that was the end of the story, but there was another farmer who bought that land and one time this big, and they called him the ot, came to the door and said you mind if I have some tea with you? [00:15:43] Darryl Peek: He said, all right, come on in. Have a drink. And as he had the drink, he looked upon the mantle and his mouth dropped. And then the farmer said what’s wrong? What do you say? He says, do you know what that is? No. He said no. Do you know what that is? He says, no. He said, that’s the biggest diamond I’ve ever seen, and the farmer goes. [00:16:01] Darryl Peek: That’s weird because there’s a bunch right in the back where I go grab my fruits and crops every day. So the idea of the acre diamonds and sometimes that you don’t need to go off to a far off land. It is actually sometimes right under your feet, and that is a story that helped fund the starting of Temple University. [00:16:16] Vince Menzione: I’m gonna need to take you at every single event so you can tell this story again. That’s an awesome job. Oh, I love it. And yeah, they founded a Temple University. Yeah. Which has become an incredible university. My daughter, like I said, my daughter’s a graduate, so we’re Temple fan. That’s great story. [00:16:31] Vince Menzione: That is a very cool, I didn’t realize you were a Philadelphia guy too, so that is awesome. Go birds. Go birds. All right, good. So let’s talk, I think we talked a little bit about your ecosystem approach, but maybe just a little bit more on this, like you said, like a lot of data, a lot of metrics but also a lot of these organizations also have to under understand the engineering side of things. [00:16:53] Vince Menzione: Oh, yeah. There’s a tremendous amount to become. Not everybody could just show up one day and become an elastic partner [00:16:58] Darryl Peek: absolutely. Absolutely. So take us [00:16:59] Vince Menzione: through that process. [00:17:00] Darryl Peek: Yeah. So one of the things that we are trying to mature and we have matured is our partner go to market. [00:17:06] Darryl Peek: So in order to join our partner ecosystem, you have to sign ’em through our partner portal. You have to sign our indirect reseller agreement. ’cause we do sell primarily within the public sector through distribution. And we only go direct if it is by exception. So you have to get justification through myself as well as our VP for public sector. [00:17:21] Darryl Peek: But we really do try to make sure that we can aggregate this because one thing that we have to monitor is terms and conditions. ’cause of course, working with the government, there’s a lot of terms and conditions. So we try to alleviate that by having it go through caresoft, they’re able to absorb some, so this way we can actually transact with the government. [00:17:36] Darryl Peek: In regards to the team though we try to really work closely with our solution architecture team. So this way we can develop clear enablement strategies with our partners so this way they know what it is we do, but also how to properly bring us up in a conversation. Also handle objections and also what are we doing to implement our solutions within other markets. [00:17:55] Darryl Peek: So those are things that we are doing as well as partner marketing. Top of funnel activity is really important, so we’re trying to differentiate what we’re doing with the field and field marketing. So you’re doing the leads and m qls and things of that nature also with partner marketing. So our partner marketing actually is driven by leads, but also we’re trying to transact. [00:18:10] Darryl Peek: And get Ps of which our partner deal registration. So that is how we align our partner go to market. And that is actually translating into our partner source outcomes. [00:18:18] Vince Menzione: And I think we have a slide that talks a little bit about your public sector partner strategy. [00:18:23] Darryl Peek: Oh yeah. Oh, I share that. So I thought maybe we could spin it. [00:18:25] Darryl Peek: Absolutely. [00:18:25] Vince Menzione: I know you we can’t see it, but they can. Oh, they can. Okay. Great. [00:18:29] Darryl Peek: There it’s there. [00:18:30] Vince Menzione: It’s career. [00:18:31] Darryl Peek: One thing, I think this was Einstein has said, if you can’t explain it simply, you don’t understand it well enough. So that was the one thing. So I always was a big fan of creating a one page strategy. [00:18:39] Darryl Peek: And based on this one page strategy one of the things when I worked at Salesforce it was really about a couple things and the saying, okay, what are your bookings? And if you don’t have bookings, what does your pipeline look like? If you don’t have pipeline, what does your prospecting look like? [00:18:51] Darryl Peek: Yeah. If you don’t have prospecting what does your account plan look like? And if you don’t have an account plan, why are you here? Why are you here? Exactly. So those are the things that I really talk to my team about is just really a, it’s about bookings. It’s about pipeline. It’s about planning, enablement and execution. [00:19:05] Darryl Peek: It’s about marketing, branding and evangelism, and also about operational excellence and how to execute. Very cool. So being able to do that and also I, since I came from Salesforce, I talk to my team a lot about Salesforce hygiene. So we really talk about that a lot. So make, making sure we’re making proper use of chatter, but also as we talk about utilizing ai, we just try to. [00:19:21] Darryl Peek: How do we simplify that, right? So if we’re using Zoom or we’re using Google, how do we make sure that we’re capturing those meeting minutes, translating that, putting that into the system, so therefore we have a record of that engagement with that partner. So this is a continuous threat. So this way I don’t have to call my partner manager the entire time. [00:19:36] Darryl Peek: I can look back, see what actions, see what was discussed, and say, okay, how can we keep this conversation going? Because we shouldn’t have to have those conversations every time. I shouldn’t have to text you to say, give me the download on every partner. Every time. How do we automate that? And that’s really where you’re creating this context window with your Genive ai. [00:19:53] Darryl Peek: I think they said what 75% of organizations are using one AI tool. And I think 1% are mature in that. But also a number of organizations, it’s 90% of organizations are using generative AI tools to some degree. So we are using gen to bi. We do use a number of them. We have elastic GPT. Nice little brand there. [00:20:11] Darryl Peek: But yeah, we use that for not only understanding what’s in our our repositories and data lakes and data warehouses, but also what are some answers that we can have in regards to proposal responses, RP responses, RFI, responses and the like. [00:20:23] Vince Menzione: And you’re reaching out to the other LLMs through your tool? [00:20:26] Darryl Peek: We can actually interact with any LLM. So we are a LLM Agnostic. [00:20:29] Vince Menzione: Got it. Yep. That’s fantastic. And this slide is we’ll make this available if you don’t have a, yeah, have a chance. We’ll share it. I [00:20:36] Darryl Peek: am happy to share, yeah. And obviously happy to talk, reach out about it. Of, of course. I simplified it in order to account for you, but one of the things that I talk about is mission, vision of values. [00:20:45] Darryl Peek: And as we start with that is what is your mission now? How is anybody from Pittsburgh, anybody steal a fan? Oh wow. No, there’s a steel fan over [00:20:54] Vince Menzione: here. There’s one here. There’s a couple of ’em are out here. So I feel bad. [00:20:57] Darryl Peek: The reason why I put immaculate in there is for the immaculate reception, actually. [00:21:00] Darryl Peek: Yes. And basically saying that if you ever seen that play, it was not pretty at all. It was a very discombobulated play. Yeah. And I usually say that’s the way that you work with partners too, because when that deal doesn’t come in, when you gotta make a call, when you’re texting somebody at 11 o’clock at night, when you’re trying to get that at, right before quarter end. [00:21:17] Darryl Peek: Yeah. Before the end of it. It really is difficult, but it’s really creating that immaculate experience. You want that partner to come back. I know it’s challenging, but I appreciate how you leaned in with us. Yes, absolutely. I appreciate how you work with us. I appreciate how you held our hand through the process, and that’s what I tell my team, that we have to create that partner experience. [00:21:32] Darryl Peek: And maybe that’s a carryover from Salesforce, Dave. I don’t know. But also when we talk about enhancing or accelerating our partner. Our public sector outcomes that is really working with the customer, right? So customer experience has to be part of it. Like all of us have to be focused on that North star, and that is really how do we service the customer, and that’s what we choose to do. [00:21:48] Darryl Peek: But also the internal part. So I used to survey my team many moves ago, and I said, if we don’t get 80% satisfaction rate from our employees how do we get 60% satisfaction rate from our customers? Yeah. So really focus on that employee success and employee satisfaction. It’s so important, is very important. [00:22:03] Darryl Peek: So being able to understand what are the needs of your employees? Are you really addressing their concerns and are you really driving them forward? Are you challenging them? Are you creating pathways for progression? So those are things that I definitely try to do with my team. As well as just really encouraging, inspiring, yeah. [00:22:19] Darryl Peek: And just making sure that they’re having fun at the same time. [00:22:21] Vince Menzione: It shows up in such, I, there’s an airline I don’t fly any longer, and it was a million mile member of and I know it’s because of the way they treat their employees. [00:22:29] Vince Menzione: Because it cascades Right? [00:22:30] Darryl Peek: It does. Culture is important. [00:22:32] Vince Menzione: Yeah. Absolutely. [00:22:32] Darryl Peek: What is it? What Anderson Howard they say what col. Mark Andresen culture eat strategy for [00:22:37] Vince Menzione: breakfast. He strategy for breakfast? Yes. Very much this has been insightful. I really enjoyed having you here today. Really a great, you’re a lot of fun. You’re a lot of fun. [00:22:43] Vince Menzione: Darry, isn’t you? Amazing. So thank you for joining us. Thank you all. Thank And you’re gonna be, you’re gonna be sticking around for a little while today. I’m sticking around for a little while. I’ll be back in little later. I think people are gonna just en enjoy having a conversation with you, a little sidebar. [00:22:55] Darryl Peek: Absolutely. I’m looking forward to it. Thank you all for having me. Glad to be here. And thank you for giving the time today. [00:23:01] Vince Menzione: Thank you Darryl, so much. So appreciate it. And you’re gonna have to come join me on this Story Diamond tool. Yeah, absolutely. Thanks for tuning into this episode of Ultimate Guide to Partnering. [00:23:12] Vince Menzione: We’re bringing these episodes to you to help you level up your strategy. If you haven’t yet, now’s the time to take action and think about joining our community. We created a unique place, UPX or Ultimate partner experience. It’s more than a community. It’s your competitive edge with insider insights, real-time education, and direct access to people who are driving the ecosystem forward. [00:23:38] Vince Menzione: UPX helps you get results, and we’re just getting started as we’re taking this studio. And we’ll be hosting live stream and digital events here, including our January live stream, the Boca Winter Retreat, and more to come. So visit our website, the ultimate partner.com to learn more and join us. Now’s the time to take your partnerships to the next level.
In this solo episode, Kevin Lawton dives deep into the shifting sands of warehouse technology. Looking back at 2025, we explore how AI functioned as an "invisible layer" to optimize efficiency without disrupting the user experience, featuring callouts to ShipHero and Lully. Kevin also reinforces why the fundamentals still matter with clean data and dialed-in processes remaining the prerequisite for any successful automation project.As we turn the page to 2026, the focus shifts to Interactive AI and the massive wave of Vision Technology. From wearable vision tech to computer vision for inventory tracking, Kevin discusses how these accessible solutions are leveling up data capture for warehouses of all sizes.Key Topics Covered:The AI Evolution: Moving from back-end optimization to interactive, LLM-powered WMS interfaces.Vision Tech Dominance: Why 2026 will be the year of computer vision and wearables in the warehouse.Brownfield Innovation: How SMBs are utilizing existing racking and "less disruptive" automation.The Future Worker: Defining the new entry-level roles as material handling becomes increasingly automated.Community & Events: What's coming to The New Warehouse in 2026, including the Warehouse Innovation event series.Find more information about our sponsors here: Peak Technologies, Masterplan Communications, TGW Logistics, YMX Logistics Follow us on LinkedIn and YouTube.Support the show
The Intuitive Customer - Improve Your Customer Experience To Gain Growth
In this episode of The Intuitive Customer, Professor Ryan Hamilton is joined by Ben Shaw, seasoned brand strategist, to unpack the promises and pitfalls of synthetic audiences - AI-driven research used for faster, cheaper market research. Synthetic audiences, powered by large language models (LLMs), can replicate customer segments and respond to creative concepts or product questions at scale cutting the time and cost of traditional surveys. But does it come with trade-offs? Expect lively debate on the AI vs. LLM naming debate, the enduring value of ethnography and nuance, and practical tips for blending synthetic and traditional research to make smarter, more human-centred decisions. From democratising access to consumer insight to questioning the believability of robot-approved ad copy, this candid discussion highlights how to use these tools wisely.
In this episode, Rachel Flannery, U.S. Army Reserve, takes us through her career progression from the Active Component to a career as a National Security Attorney at the Department of Homeland Security, via Georgetown and an LLM, in pursuit of her goal to "Pivot With Intention."
How can eCommerce founders actually use AI to save time, reduce costs, and build leverage—without getting lost in hype or gimmicks? In this episode, I sit down with Kevin Williams, founder of Ascend Labs and long-time ECF member, to break down where AI is delivering real, practical value for online businesses today. Listen in as we explore concrete automation examples, founder-led AI marketing workflows, how to think about LLM optimization, and what AI-driven workforce disruption may mean over the next few years. Kevin also shares how he's building AI-first systems inside his own company, why measurement matters more than tools, and how founders can position themselves for what's coming in 2026 and beyond. You can find show notes and more information by clicking here: https://bit.ly/4qbdRD3 Interested in our Private Community for 7-Figure Store Owners? Learn more here. Want to hear about new episodes and eCommerce news round-ups? Subscribe via email.
Start the new year with the January 2026 Recall, featuring five episodes focused on the topic of AI in neurology. The episode begins with Dr. Stacey Clardy talking with Stephen Marche about the evolving topic of natural language processing and its impact on neurology and everyday life. The episode leads into a conversation with Drs. Halley Alexander and Sándor Beniczky discussing the use of AI to accurately interpret routine clinical EEG. The conversation continues with Drs. Trey Bateman and David T. Jones discussing the use of FDG-PET imaging and machine learning to improve diagnostic accuracy. The episode transitions into a discussion between Dr. Andy Southerland and Dr. Adam Rodman regarding the implications of LLMs in clinical reasoning and diagnostics. This month's Recall concludes with Dr. Stacey Clardy reflecting on how AI is shaping multiple aspects of life, including podcasts. Podcast links: What Natural Language Processing Could Mean for Careers in Neurology and Publications Artificial Intelligence Interpretation of EEG FDG-PET-Based Machine Learning Framework to Support Neurologic Decision-Making Superhuman Performance of a LLM on the Reasoning Tasks of a Physician Podcasting in the Age of AI Article links: The College Essay Is Dead Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence An FDG-PET–Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders Superhuman Performance of a Large Language Model on The Reasoning Tasks of a Physician A Phase-2B Double-Blind Randomized International Prospective Trial of Inebilizumab in NMDAR Encephalitis: The ExTINGUISH Trial Disclosures can be found at Neurology.org.
Revolutionizing Birdwatching: Birdfy’s Smart Feeders at CES Show 2026 Birdfy.com About the Guest(s): Prima Shi is the Chief Marketing Officer (CMO) of Birdfy, a pioneering company in the realm of smart birdwatching technologies. With a multi-year track record, Prima has been instrumental in establishing Birdfy as a leader in the industry through innovation and user engagement. Her expertise in marketing and her passion for technology have driven the company to integrate AI and advanced camera systems into traditional bird feeders and birdhouses, making Birdfy products accessible and desirable to birdwatching enthusiasts worldwide. Episode Summary: In this episode of The Chris Voss Show, we venture into the innovative world of Birdfy, guided by Prima Shi, CMO of the company. Birdfy has revolutionized the experience of birdwatching by blending traditional bird feeders with cutting-edge technology. Learn about how Birdfy is showcasing its latest offerings at CES 2026, continuing a tradition of innovation and excellence that has seen them become leaders in their field. The discussion centers around Birdfy's wide range of products that use artificial intelligence and high-definition video technology, alongside the introduction of the first-ever LLM-powered birdwatching AI this year. Explore the fascinating breakthroughs that Birdfy has made, from their 4K and 6K bird feeders to their multi-species recognition technology powered by an advanced AI system named Joy. These innovations cater to birdwatchers at all experience levels, fostering a closer connection to nature through high-tech solutions. The episode delves into product features, including solar-powered options, AI-integrated video capturing, and unique feeder designs that place Birdfy at the forefront of the birdwatching tech industry. With over 600,000 units sold, Birdfy not only leads the market but transforms how we engage with and understand the avian world. Key Takeaways: Birdfy combines technology with nature by creating smart bird feeders equipped with cameras and AI, enhancing traditional birdwatching. The company has launched its first LLM-powered Birdwatching AI named Joy, improving species identification and offering interactive features. CES 2026 sees the introduction of Birdfy's innovative 6K bird feeders and new products like the Phy Bass Pro, featuring dual camera views and a de-icing function. Birdfy products focus on sustainability with embedded solar power options to maintain charge throughout all weather conditions. Prima Shi highlights the user-friendly features in Birdfy's product line, appealing to both novice and seasoned birdwatchers. Notable Quotes: “We put a camera inside a traditional look feeder, and every time the birds come, we record a video automatically.” “We’ve had over 600,000 units sold, making us number one in the market for a reason.” “This year in CES 2026, we are launching a unique and revolutionary first LLM-powered birdwatching AI.” “Our products are not just about birdwatching, but about bringing you closer to the beauty of nature with technology.” “With this one, you can just rotate around and was more exciting as the whole structure.”
Join our current events support zoomcast show hosted by Jan Landy and his knowledgeable affable panel of friends and colleagues for an entertaining robust discussion offering opinions on anything related to a working professional life in general.Our ZoomCast isn't just a fountain of knowledge; it's also a opportunity to laugh. Think of it as therapy, but with more jokes and fewer couches. Join us and share your thoughts. Stay updated on life and world events, and enjoy multiple good chuckles along the way.
Apply To Work With Our Agency
Un mot étrange s'est imposé dans le vocabulaire de la tech en 2025 : sycophancy. Derrière ce terme se cache un risque bien réel pour les utilisateurs de l'intelligence artificielle, notamment les plus jeunes.La sycophancy, ce terme anglais que l'on peut traduire par flagornerie ou flatterie, désigne la tendance de certains modèles d'IA à aller systématiquement dans le sens de l'utilisateur, quitte à valider des propos inexacts ou dangereux. Un biais problématique, car une IA trop complaisante ne corrige plus les erreurs et peut renforcer des croyances fausses, notamment dans des domaines sensibles comme l'information, la santé, l'éducation ou l'aide à la décision.Ce phénomène, désormais bien documenté par la recherche, trouve son origine dans les données humaines utilisées pour entraîner les modèles et dans la recherche d'interactions positives. Grégory Renard, spécialiste de l'intelligence artificielle et cofondateur de l'association Everyone.ai, alerte sur les dérives possibles, y compris l'addiction aux chatbots et les risques psychologiques pour les plus jeunes. Les concepteurs de modèles travaillent à des garde-fous, via le nettoyage des données et l'alignement des IA, mais le problème reste loin d'être totalement résolu.-----------♥️ Soutien : https://mondenumerique.info/don
Acesta este versiunea audio - adaptată - a unui nou Newsletter UPDATE 1.1 -> cele mai importante știri din universul digital-tech din luna noiembrie 2025, din perspectiva României. Selecția știrilor e realizată de Paul Alexandru, editarea și coordonarea ambelor versiuni (text & audio) de Marian Hurducaș - tot lui îi aparține și vocea. Producția audio semnată de Oliver Simionescu. Poți da subscribe newsletterului Update 1.1 pe upgrade100.com/subscribe._________>>> Newsletter IQ Digital: ABONARE, AICI _________1. Preview pentru această ediție: _________Acum că ultima lună din 2025 s-a încheiat, trecem în revistă evoluția LLM-urilor, boom-ul prețurilor memoriei RAM, cum a ajuns Ceaușescu subiect viral pe Social Media, cum se finanțează startup-urile românilor, cât de bogat poate Elon Musk să ajungă, cum se adaptează retailerii asiatici la schimbările din 2026, ce au căutat românii pe net în 2025, cum delimităm accesul tinerilor la internet și finalul instabil de an al criptomonedelor.Și bineînțeles, pe ici, pe colo o să-ți mai spunem și ce alte chestii am mai făcut noi la Upgrade 100.
One of the scariest parts of AI?
AI tools are already answering your customers' questions. The real question is, how do you ensure your business is part of those answers?In this episode, we sit down with Sergey Lucktinov, an AI search visibility expert who has spent more than a decade navigating algorithm shifts and rethinking how businesses get discovered online. Sergey breaks down how visibility works in the age of AI and what business owners need to do to make sure their brand is actually being mentioned, not silently skipped. We explore how AI has fundamentally changed SEO. The focus is no longer on keywords and backlinks alone, but on meaning, trust, and whether your content is eligible to be retrieved by AI systems in the first place. Sergey shares how years of surviving major search changes led him to develop Semantic Retrieval Optimization (SRO), a framework built specifically for how AI systems retrieve, evaluate, and surface content today. He explains how to format content so large language models (LLMs) can easily understand and reuse it, and why AI has quietly leveled the playing field, giving smaller companies new opportunities to compete with much larger brands in search. We also break down Semantic Entity Networks (SENs) and how they fit into modern on-page optimization, as well as the biggest mistakes and misconceptions businesses have about LLM optimization.If you want to understand how to increase your visibility in AI search, this episode is a must-listen. Topics Discussed in this episode: How Sergey developed his Semantic Retrieval Optimization (SRO) strategy (02:35) How AI has transformed SEO and how this affects visibility (06:18) Understanding how to format your content to suit LLMs (08:29) AI has leveled the playing field for smaller companies in search (13:57) Explaining SENs and how they fit into on-page optimization (17:09) The biggest mistakes and misconceptions about LLM optimization (22:11) Cost optimizations you can use to increase your retrieval rate (24:38) Calculating leads and audience size that come from LLMs (30:38) The future of SEO and AI (32:26) Mentions: Empire Flippers Podcasts Empire Flippers Marketplace Create an Empire Flippers account Subscribe to our newsletter Semantic Vector Sergey's personal site Sergey's book about semantic SEO, SRO & AI Sit back, grab a coffee, and learn how to dominate AI search visibility!
It's our 2025 review of Linux and open source news including great gaming news, the impact of AI, the disappointments from Mozilla, the year of Wayland on the desktop, the politics of open source, Intel’s lack of interest, and wins for KDE. Gaming Steam Machine, controller, VR headset incoming from Valve Steam Deck LCD production is ending AI bullshit Open source devs say AI crawlers dominate traffic, forcing blocks on entire countries Wikimedia Foundation bemoans AI bot bandwidth burden ardour.org has banned 1.2M distinct IP addresses for trying to slurp from our git repository Introducing CC Signals: A New Social Contract for the Age of AI You should enforce your own existing licenses against AI mass crawling Anubis guards gates against hordes of LLM bot crawlers FSF calls Anubis malware It seems like the AI crawlers learned how to solve the Anubis challenges Mozilla Updates on Mozilla's Leadership and Growth Planning Introducing a terms of use and updated privacy notice for Firefox An update on our Terms of Use Firefox deletes promise to never sell personal data, asks users not to panic Investing in what moves the internet forward When I say that I can't recommend third-party forks of either Firefox or Chrome for real world use, this kind of thing is why Firefox is fine. The people running it are not Mozilla Slammed Over Battery-Draining “Garbage” AI in Firefox Firefox Adds CoPilot Chatbot, New Tab Widgets in Nightly Builds Introducing AI, the Firefox way: A look at what we're working on and how you can help shape it Rewiring Mozilla: Doing for AI what we did for the web Mozilla's next chapter: Building the world's most trusted software company Wayland Fedora 43 Cleared To Ship With Wayland-Only GNOME GNOME Dropping X11 Support May Complicate Next Ubuntu LTS Ubuntu 25.10 drops support for GNOME on Xorg Ubuntu 25.10 and Fedora 43 to drop X11 in GNOME editions An update on the X11 GNOME Session Removal Wayback Is Now Hosted On FreeDesktop.org Wayback 0.3 released! GNOME Mutter Now “Completely Drops The Whole X11 Backend” KDE Going all-in on a Wayland future Politics The price of software freedom is eternal politics Framework flame war erupts over Linux controversy PSF Gets a Donor Surge After Rejecting Anti-DEI Federal Grant Intel All good things come to an end: Shutting down Clear Linux OS Intel's Open-Source Strategy Is Changing At Odds With The Ethos Of Open-Source The Death Of Clear Linux, Other Intel Linux Engineering Setbacks In 2025 KDE KDE Highlights from 2025 Tailscale Tailscale is an easy to deploy, zero-config, no-fuss VPN that allows you to build simple networks across complex infrastructure. Go to tailscale.com/lnl and try Tailscale out for free for up to 100 devices and 3 users, with no credit card required. Use code LATENIGHTLINUX for three free months of any Tailscale paid plan. Support us on patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
AI tools are already answering your customers' questions. The real question is, how do you ensure your business is part of those answers?In this episode, we sit down with Sergey Lucktinov, an AI search visibility expert who has spent more than a decade navigating algorithm shifts and rethinking how businesses get discovered online. Sergey breaks down how visibility works in the age of AI and what business owners need to do to make sure their brand is actually being mentioned, not silently skipped. We explore how AI has fundamentally changed SEO. The focus is no longer on keywords and backlinks alone, but on meaning, trust, and whether your content is eligible to be retrieved by AI systems in the first place. Sergey shares how years of surviving major search changes led him to develop Semantic Retrieval Optimization (SRO), a framework built specifically for how AI systems retrieve, evaluate, and surface content today. He explains how to format content so large language models (LLMs) can easily understand and reuse it, and why AI has quietly leveled the playing field, giving smaller companies new opportunities to compete with much larger brands in search. We also break down Semantic Entity Networks (SENs) and how they fit into modern on-page optimization, as well as the biggest mistakes and misconceptions businesses have about LLM optimization.If you want to understand how to increase your visibility in AI search, this episode is a must-listen. Topics Discussed in this episode: How Sergey developed his Semantic Retrieval Optimization (SRO) strategy (02:35) How AI has transformed SEO and how this affects visibility (06:18) Understanding how to format your content to suit LLMs (08:29) AI has leveled the playing field for smaller companies in search (13:57) Explaining SENs and how they fit into on-page optimization (17:09) The biggest mistakes and misconceptions about LLM optimization (22:11) Cost optimizations you can use to increase your retrieval rate (24:38) Calculating leads and audience size that come from LLMs (30:38) The future of SEO and AI (32:26) Mentions: Empire Flippers Podcasts Empire Flippers Marketplace Create an Empire Flippers account Subscribe to our newsletter Semantic Vector Sergey's personal site Sergey's book about semantic SEO, SRO & AI Sit back, grab a coffee, and learn how to dominate AI search visibility!
It's our 2025 review of Linux and open source news including great gaming news, the impact of AI, the disappointments from Mozilla, the year of Wayland on the desktop, the politics of open source, Intel’s lack of interest, and wins for KDE. Gaming Steam Machine, controller, VR headset incoming from Valve Steam Deck LCD production is ending AI bullshit Open source devs say AI crawlers dominate traffic, forcing blocks on entire countries Wikimedia Foundation bemoans AI bot bandwidth burden ardour.org has banned 1.2M distinct IP addresses for trying to slurp from our git repository Introducing CC Signals: A New Social Contract for the Age of AI You should enforce your own existing licenses against AI mass crawling Anubis guards gates against hordes of LLM bot crawlers FSF calls Anubis malware It seems like the AI crawlers learned how to solve the Anubis challenges Mozilla Updates on Mozilla's Leadership and Growth Planning Introducing a terms of use and updated privacy notice for Firefox An update on our Terms of Use Firefox deletes promise to never sell personal data, asks users not to panic Investing in what moves the internet forward When I say that I can't recommend third-party forks of either Firefox or Chrome for real world use, this kind of thing is why Firefox is fine. The people running it are not Mozilla Slammed Over Battery-Draining “Garbage” AI in Firefox Firefox Adds CoPilot Chatbot, New Tab Widgets in Nightly Builds Introducing AI, the Firefox way: A look at what we're working on and how you can help shape it Rewiring Mozilla: Doing for AI what we did for the web Mozilla's next chapter: Building the world's most trusted software company Wayland Fedora 43 Cleared To Ship With Wayland-Only GNOME GNOME Dropping X11 Support May Complicate Next Ubuntu LTS Ubuntu 25.10 drops support for GNOME on Xorg Ubuntu 25.10 and Fedora 43 to drop X11 in GNOME editions An update on the X11 GNOME Session Removal Wayback Is Now Hosted On FreeDesktop.org Wayback 0.3 released! GNOME Mutter Now “Completely Drops The Whole X11 Backend” KDE Going all-in on a Wayland future Politics The price of software freedom is eternal politics Framework flame war erupts over Linux controversy PSF Gets a Donor Surge After Rejecting Anti-DEI Federal Grant Intel All good things come to an end: Shutting down Clear Linux OS Intel's Open-Source Strategy Is Changing At Odds With The Ethos Of Open-Source The Death Of Clear Linux, Other Intel Linux Engineering Setbacks In 2025 KDE KDE Highlights from 2025 Tailscale Tailscale is an easy to deploy, zero-config, no-fuss VPN that allows you to build simple networks across complex infrastructure. Go to tailscale.com/lnl and try Tailscale out for free for up to 100 devices and 3 users, with no credit card required. Use code LATENIGHTLINUX for three free months of any Tailscale paid plan. Support us on patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
Data as a Product: Was steckt dahinter?Warum ist AI überall, aber der Weg von der Datenbank zu "Wow, das Modell kann das" wirkt oft wie ein schwarzes Loch? Du loggst brav Events, die Daten landen in irgendwelchen Silos, und trotzdem bleibt die entscheidende Frage offen: Wer sorgt eigentlich dafür, dass aus Rohdaten ein zuverlässiges, verkaufbares Datenprodukt wird.In dieser Episode machen wir genau dort das Licht an. Gemeinsam mit Mario Müller, Director of Data Engineering bei Veeva Systems, schauen wir uns an, was Datenteams wirklich sind, wie "Data as a Product" in der Praxis funktioniert und warum Data Engineering mehr ist als nur ein paar CSVs über FTP zu schubsen. Wir sprechen über Teamstrukturen von der One-Man-Show bis zur cross-functional Squad, über Ownership auf den Daten, Data Governance und darüber, wie du Datenqualität wirklich misst, inklusive Monitoring, Alerts, SQL-Regeln und menschlicher Quality Control.Dazu gibt es eine ordentliche Portion Tech: Spark, AWS S3 als primärer Speicher, Delta Lake, Athena, Glue, Airflow, Push-Pull statt Event-Overkill und die Entscheidung für Batch Processing, obwohl alle Welt nach Streaming ruft.Und natürlich klären wir auch, was passiert, wenn KI an den Daten rumfummelt: Wo AI beim Bootstrapping hilft, warum Production und Scale tricky werden und wieso Verantwortlichkeit beim Commit nicht von einem LLM übernommen wird.Wenn du Datenteams aufbauen willst, Data Products liefern musst oder einfach verstehen willst, wie aus Daten verlässlicher Business-Impact wird, bist du hier genau richtig.Bonus: Batchjobs bekommen heute mal ein kleines Comeback.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:
A $20 billion AI deal while you were away?
We make our big Linux predictions for 2026, but first, we score how we did for 2025.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:
In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mike Bakon to explore the fascinating intersection of hardware hacking, blockchain technology, and decentralized systems. Their conversation spans from Mike's childhood fascination with taking apart electronics in 1980s Poland to his current work with ESP32 microcontrollers, LoRa mesh networks, and Cardano blockchain development. They discuss the technical differences between UTXO and account-based blockchains, the challenges of true decentralization versus hybrid systems, and how AI tools are changing the development landscape. Mike shares his vision for incentivizing mesh networks through blockchain technology and explains why he believes mass adoption of decentralized systems will come through abstraction rather than technical education. The discussion also touches on the potential for creating new internet infrastructure using ad hoc mesh networks and the importance of maintaining truly decentralized, permissionless systems in an increasingly surveilled world. You can find Mike in Twitter as @anothervariable.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Hardware and Early Experiences02:59 The Evolution of AI in Hardware Development05:56 Decentralization and Blockchain Technology09:02 Understanding UTXO vs Account-Based Blockchains11:59 Smart Contracts and Their Functionality14:58 The Importance of Decentralization in Blockchain17:59 The Process of Data Verification in Blockchain20:48 The Future of Blockchain and Its Applications34:38 Decentralization and Trustless Systems37:42 Mainstream Adoption of Blockchain39:58 The Role of Currency in Blockchain43:27 Interoperability vs Bridging in Blockchain47:27 Exploring Mesh Networks and LoRa Technology01:00:25 The Future of AI and DecentralizationKey Insights1. Hardware curiosity drives innovation from childhood - Mike's journey into hardware began as a child in 1980s Poland, where he would disassemble toys like battery-powered cars to understand how they worked. This natural curiosity about taking things apart and understanding their inner workings laid the foundation for his later expertise in microcontrollers like the ESP32 and his deep understanding of both hardware and software integration.2. AI as a research companion, not a replacement for coding - Mike uses AI and LLMs primarily as research tools and coding companions rather than letting them write entire applications. He finds them invaluable for getting quick answers to coding problems, analyzing Git repositories, and avoiding the need to search through Stack Overflow, but maintains anxiety when AI writes whole functions, preferring to understand and write his own code.3. Blockchain decentralization requires trustless consensus verification - The fundamental difference between blockchain databases and traditional databases lies in the consensus process that data must go through before being recorded. Unlike centralized systems where one entity controls data validation, blockchains require hundreds of nodes to verify each block through trustless consensus mechanisms, ensuring data integrity without relying on any single authority.4. UTXO vs account-based blockchains have fundamentally different architectures - Cardano uses an extended UTXO model (like Bitcoin but with smart contracts) where transactions consume existing UTXOs and create new ones, keeping the ledger lean. Ethereum uses account-based ledgers that store persistent state, leading to much larger data requirements over time and making it increasingly difficult for individuals to sync and maintain full nodes independently.5. True interoperability differs fundamentally from bridging - Real blockchain interoperability means being able to send assets directly between different blockchains (like sending ADA to a Bitcoin wallet) without intermediaries. This is possible between UTXO-based chains like Cardano and Bitcoin. Bridges, in contrast, require centralized entities to listen for transactions on one chain and trigger corresponding actions on another, introducing centralization risks.6. Mesh networks need economic incentives for sustainable infrastructure - While technologies like LoRa and Meshtastic enable impressive decentralized communication networks, the challenge lies in incentivizing people to maintain the hardware infrastructure. Mike sees potential in combining blockchain-based rewards (like earning ADA for running mesh network nodes) with existing decentralized communication protocols to create self-sustaining networks.7. Mass adoption comes through abstraction, not education - Rather than trying to educate everyone about blockchain technology, mass adoption will happen when developers can build applications on decentralized infrastructure that users interact with seamlessly, without needing to understand the underlying blockchain mechanics. Users should be able to benefit from decentralization through well-designed interfaces that abstract away the complexity of wallets, addresses, and consensus mechanisms.
Analysts Don Kellogg and Roger Entner are joined by Recon's CEO of AI, Joe Salesky, to discuss his new report on the obstacles to mass AI adoption and what the industry may look like in 2026.00:00 Episode intro00:25 AI adoption has stalled despite model improvement02:17 First-party data's role in adoption03:58 Model Context Protocol is needed05:55 Navigating privacy concerns07:28 When will mass adoption occur?08:18 Google and Meta's prospects09:14 Predictions for 202610:31 Report overview and future AI research12:03 Episode wrap-upReport link:Genius Myopia: Why Smarter Models Aren't Enough - Digital Product ReportsTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, Joe Salesky, AI, LLM, NPS, data, OpenAI, Google, Gemini, Microsoft, Claude, MCP, Apple, privacy, Facebook, Meta, 2026
Send us a text- On-Demand Programme Link - https://mailchi.mp/bb2a7b851246/kairos-centreWhat is 'Manly'? A conversation with Damian Andrews of SHAIR.Care Podcast (Australia) in 2023.There is a difference between men and women and how they raise boy children - isn't there!Am I allowed to even pose that question? What does emasculation of men mean? A browser search result says about Emasculation: 'It refers to the perceived loss of traditional masculine attributes, such as strength and power, often resulting from societal changes or dynamics in relationship'.Were those traditional values 'fit for purpose anyway'? What does the new attributes look like? Are men trying to make them fit, but experiencing a straight jacket effect?When men do not feel that they are getting it right, the desire to self-soothe to manage emotions, is all the more prevalent.Get some help from The Kairos Centre. See what you cannot see. Begin to change that which you begin to better understand.Help someone: https://igg.me/at/ThekairosCentreHelp is here for you: bit.ly/pornaddictionhelpGary McFarlane (BA, LLM, Dip, Certs), Accredited EMDR Practitioner.Key words: sex addiction, addicted, partner, porn addiction, recovery, sex drive, therapy, sex therapy, podcast, relationships, relationship counseling, relationship advice, addiction, couples, couples therapy, sex therapy, emdr, love addiction, behavior, psychology, codependency, sex life, neuroscience, sex ed, sober, sobriety, sexual dysfunction, relationship issues, sex coach, sexual, trauma, ptsd, sex science, The sex porn love Addiction Podcast, The Singles Partners Marrieds and Long Time Marrieds Podcast, Gary McFarlane, porn addiction, what neuroscience says, neuroscience, young adults, sex, sex addict, porn, recovery, porn addiction issue, porn addiction in teens, sex addiction in teens, sex hormones, hormones,Support the show
Crazy Wisdom: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Aaron Borger, founder and CEO of Orbital Robotics, about the emerging world of space robotics and satellite capture technology. The conversation covers a fascinating range of topics including Borger's early experience launching AI-controlled robotic arms to space as a student, his work at Blue Origin developing lunar lander software, and how his company is developing robots that can capture other spacecraft for refueling, repair, and debris removal. They discuss the technical challenges of operating in space - from radiation hardening electronics to dealing with tumbling satellites - as well as the broader implications for the space economy, from preventing the Kessler effect to building space-based recycling facilities and mining lunar ice for rocket fuel. You can find more about Aaron Borger's work at Orbital Robots and follow him on LinkedIn for updates on upcoming missions and demos. Check out this GPT we trained on the conversationTimestamps00:00 Introduction to orbital robotics, satellite capture, and why sensing and perception matter in space 05:00 The Kessler Effect, cascading collisions, and why space debris is an economic problem before it is an existential one 10:00 From debris removal to orbital recycling and the idea of turning junk into infrastructure 15:00 Long-term vision of space factories, lunar ice, and refueling satellites to bootstrap a lunar economy 20:00 Satellite upgrading, servicing live spacecraft, and expanding today's narrow space economy 25:00 Costs of collision avoidance, ISS maneuvers, and making debris capture economically viable 30:00 Early experiments with AI-controlled robotic arms, suborbital launches, and reinforcement learning in microgravity 35:00 Why deterministic AI and provable safety matter more than LLM hype for spacecraft control 40:00 Radiation, single event upsets, and designing space-safe AI systems with bounded behavior 45:00 AI, physics-based world models, and autonomy as the key to scaling space operations 50:00 Manufacturing constraints, space supply chains, and lessons from rocket engine software 55:00 The future of space startups, geopolitics, deterrence, and keeping space usable for humanityKey Insights1. Space Debris Removal as a Growing Economic Opportunity: Aaron Borger explains that orbital debris is becoming a critical problem with approximately 3,000-4,000 defunct satellites among the 15,000 total satellites in orbit. The company is developing robotic arms and AI-controlled spacecraft to capture other satellites for refueling, repair, debris removal, and even space station assembly. The economic case is compelling - it costs about $1 million for the ISS to maneuver around debris, so if their spacecraft can capture and remove multiple pieces of debris for less than that cost per piece, it becomes financially viable while addressing the growing space junk problem.2. Revolutionary AI Safety Methods Enable Space Robotics: Traditional NASA engineers have been reluctant to use AI for spacecraft control due to safety concerns, but Orbital Robotics has developed breakthrough methods combining reinforcement learning with traditional control systems that can mathematically prove the AI will behave safely. Their approach uses physics-based world models rather than pure data-driven learning, ensuring deterministic behavior and bounded operations. This represents a significant advancement over previous AI approaches that couldn't guarantee safe operation in the high-stakes environment of space.3. Vision for Space-Based Manufacturing and Resource Utilization: The long-term vision extends beyond debris removal to creating orbital recycling facilities that can break down captured satellites and rebuild them into new spacecraft using existing materials in orbit. Additionally, the company plans to harvest propellant from lunar ice, splitting it into hydrogen and oxygen for rocket fuel, which could kickstart a lunar economy by providing economic incentives for moon-based operations while supporting the growing satellite constellation infrastructure.4. Unique Space Technology Development Through Student Programs: Borger and his co-founder gained unprecedented experience by launching six AI-controlled robotic arms to space through NASA's student rocket programs while still undergraduates. These missions involved throwing and catching objects in microgravity using deep reinforcement learning trained in simulation and tested on Earth. This hands-on space experience is extremely rare and gave them practical knowledge that informed their current commercial venture.5. Hardware Challenges Require Innovative Engineering Solutions: Space presents unique technical challenges including radiation-induced single event upsets that can reset processors for up to 10 seconds, requiring "passive safe" trajectories that won't cause collisions even during system resets. Unlike traditional space companies that spend $100,000 on radiation-hardened processors, Orbital Robotics uses automotive-grade components made radiation-tolerant through smart software and electrical design, enabling cost-effective operations while maintaining safety.6. Space Manufacturing Supply Chain Constraints: The space industry faces significant manufacturing bottlenecks with 24-week lead times for space-grade components and limited suppliers serving multiple companies simultaneously. This creates challenges for scaling production - Orbital Robotics needs to manufacture 30 robotic arms per year within a few years. They've partnered with manufacturers who previously worked on Blue Origin's rocket engines to address these supply chain limitations and achieve the scale necessary for their ambitious deployment timeline.7. Emerging Space Economy Beyond Communications: While current commercial space activities focus primarily on communications satellites (with SpaceX Starlink holding 60% market share) and Earth observation, new sectors are emerging including AI data centers in space and orbital manufacturing. The convergence of AI, robotics, and space technology is enabling more sophisticated autonomous operations, from predictive maintenance of rocket engines using sensor data to complex orbital maneuvering and satellite servicing that was previously impossible with traditional control methods.
In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Aaron Borger, founder and CEO of Orbital Robotics, about the emerging world of space robotics and satellite capture technology. The conversation covers a fascinating range of topics including Borger's early experience launching AI-controlled robotic arms to space as a student, his work at Blue Origin developing lunar lander software, and how his company is developing robots that can capture other spacecraft for refueling, repair, and debris removal. They discuss the technical challenges of operating in space - from radiation hardening electronics to dealing with tumbling satellites - as well as the broader implications for the space economy, from preventing the Kessler effect to building space-based recycling facilities and mining lunar ice for rocket fuel. You can find more about Aaron Borger's work at Orbital Robots and follow him on LinkedIn for updates on upcoming missions and demos. Check out this GPT we trained on the conversationTimestamps00:00 Introduction to orbital robotics, satellite capture, and why sensing and perception matter in space 05:00 The Kessler Effect, cascading collisions, and why space debris is an economic problem before it is an existential one 10:00 From debris removal to orbital recycling and the idea of turning junk into infrastructure 15:00 Long-term vision of space factories, lunar ice, and refueling satellites to bootstrap a lunar economy 20:00 Satellite upgrading, servicing live spacecraft, and expanding today's narrow space economy 25:00 Costs of collision avoidance, ISS maneuvers, and making debris capture economically viable 30:00 Early experiments with AI-controlled robotic arms, suborbital launches, and reinforcement learning in microgravity 35:00 Why deterministic AI and provable safety matter more than LLM hype for spacecraft control 40:00 Radiation, single event upsets, and designing space-safe AI systems with bounded behavior 45:00 AI, physics-based world models, and autonomy as the key to scaling space operations 50:00 Manufacturing constraints, space supply chains, and lessons from rocket engine software 55:00 The future of space startups, geopolitics, deterrence, and keeping space usable for humanityKey Insights1. Space Debris Removal as a Growing Economic Opportunity: Aaron Borger explains that orbital debris is becoming a critical problem with approximately 3,000-4,000 defunct satellites among the 15,000 total satellites in orbit. The company is developing robotic arms and AI-controlled spacecraft to capture other satellites for refueling, repair, debris removal, and even space station assembly. The economic case is compelling - it costs about $1 million for the ISS to maneuver around debris, so if their spacecraft can capture and remove multiple pieces of debris for less than that cost per piece, it becomes financially viable while addressing the growing space junk problem.2. Revolutionary AI Safety Methods Enable Space Robotics: Traditional NASA engineers have been reluctant to use AI for spacecraft control due to safety concerns, but Orbital Robotics has developed breakthrough methods combining reinforcement learning with traditional control systems that can mathematically prove the AI will behave safely. Their approach uses physics-based world models rather than pure data-driven learning, ensuring deterministic behavior and bounded operations. This represents a significant advancement over previous AI approaches that couldn't guarantee safe operation in the high-stakes environment of space.3. Vision for Space-Based Manufacturing and Resource Utilization: The long-term vision extends beyond debris removal to creating orbital recycling facilities that can break down captured satellites and rebuild them into new spacecraft using existing materials in orbit. Additionally, the company plans to harvest propellant from lunar ice, splitting it into hydrogen and oxygen for rocket fuel, which could kickstart a lunar economy by providing economic incentives for moon-based operations while supporting the growing satellite constellation infrastructure.4. Unique Space Technology Development Through Student Programs: Borger and his co-founder gained unprecedented experience by launching six AI-controlled robotic arms to space through NASA's student rocket programs while still undergraduates. These missions involved throwing and catching objects in microgravity using deep reinforcement learning trained in simulation and tested on Earth. This hands-on space experience is extremely rare and gave them practical knowledge that informed their current commercial venture.5. Hardware Challenges Require Innovative Engineering Solutions: Space presents unique technical challenges including radiation-induced single event upsets that can reset processors for up to 10 seconds, requiring "passive safe" trajectories that won't cause collisions even during system resets. Unlike traditional space companies that spend $100,000 on radiation-hardened processors, Orbital Robotics uses automotive-grade components made radiation-tolerant through smart software and electrical design, enabling cost-effective operations while maintaining safety.6. Space Manufacturing Supply Chain Constraints: The space industry faces significant manufacturing bottlenecks with 24-week lead times for space-grade components and limited suppliers serving multiple companies simultaneously. This creates challenges for scaling production - Orbital Robotics needs to manufacture 30 robotic arms per year within a few years. They've partnered with manufacturers who previously worked on Blue Origin's rocket engines to address these supply chain limitations and achieve the scale necessary for their ambitious deployment timeline.7. Emerging Space Economy Beyond Communications: While current commercial space activities focus primarily on communications satellites (with SpaceX Starlink holding 60% market share) and Earth observation, new sectors are emerging including AI data centers in space and orbital manufacturing. The convergence of AI, robotics, and space technology is enabling more sophisticated autonomous operations, from predictive maintenance of rocket engines using sensor data to complex orbital maneuvering and satellite servicing that was previously impossible with traditional control methods.
Note: Steve and Gene's talk on Vibe Coding and the post IDE world was one of the top talks of AIE CODE: https://www.youtube.com/watch?v=7Dtu2bilcFs&t=1019s&pp=0gcJCU0KAYcqIYzv From building legendary platforms at Google and Amazon to authoring one of the most influential essays on AI-powered development (Revenge of the Junior Developer, quoted by Dario Amodei himself), Steve Yegge has spent decades at the frontier of software engineering—and now he's leading the charge into what he calls the "factory farming" era of code. After stints at SourceGraph and building Beads (a purely vibe-coded issue tracker with tens of thousands of users), Steve co-authored The Vibe Coding Book and is now building VC (VibeCoder), an agent orchestration dashboard designed to move developers from writing code to managing fleets of AI agents that coordinate, parallelize, and ship features while you sleep. We sat down with Steve at AI Engineer Summit to dig into why Claude Code, Cursor, and the entire 2024 stack are already obsolete, what it actually takes to trust an agent after 2,000 hours of practice (hint: they will delete your production database if you anthropomorphize them), why the real skill is no longer writing code but orchestrating agents like a NASCAR pit crew, how merging has become the new wall that every 10x-productive team is hitting (and why one company's solution is literally "one engineer per repo"), the rise of multi-agent workflows where agents reserve files, message each other via MCP, and coordinate like a little village, why Steve believes if you're still using an IDE to write code by January 1st, you're a bad engineer, how the 12–15 year experience bracket is the most resistant demographic (and why their identity is tied to obsolete workflows), the hidden chaos inside OpenAI, Anthropic, and Google as they scale at breakneck speed, why rewriting from scratch is now faster than refactoring for a growing class of codebases, and his 2025 prediction: we're moving from subsistence agriculture to John Deere-scale factory farming of code, and the Luddite backlash is only just beginning. We discuss: Why Claude Code, Cursor, and agentic coding tools are already last year's tech—and what comes next: agent orchestration dashboards where you manage fleets, not write lines The 2,000-hour rule: why it takes a full year of daily use before you can predict what an LLM will do, and why trust = predictability, not capability Steve's hot take: if you're still using an IDE to develop code by January 1st, 2025, you're a bad engineer—because the abstraction layer has moved from models to full-stack agents The demographic most resistant to vibe coding: 12–15 years of experience, senior engineers whose identity is tied to the way they work today, and why they're about to become the interns Why anthropomorphizing LLMs is the biggest mistake: the "hot hand" fallacy, agent amnesia, and how Steve's agent once locked him out of prod by changing his password to "fix" a problem Should kids learn to code? Steve's take: learn to vibe code—understand functions, classes, architecture, and capabilities in a language-neutral way, but skip the syntax The 2025 vision: "factory farming of code" where orchestrators run Cloud Code, scrub output, plan-implement-review-test in loops, and unlock programming for non-programmers at scale — Steve Yegge X: https://x.com/steve_yegge Substack (Stevie's Tech Talks): https://steve-yegge.medium.com/ GitHub (VC / VibeCoder): https://github.com/yegge-labs Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Steve Yegge on Vibe Coding and AI Engineering 00:00:59 The Backlash: Who Resists Vibe Coding and Why 00:04:26 The 2000 Hour Rule: Building Trust with AI Coding Tools 00:03:31 The January 1st Deadline: IDEs Are Becoming Obsolete 00:02:55 10X Productivity at OpenAI: The Performance Review Problem 00:07:49 The Hot Hand Fallacy: When AI Agents Betray Your Trust 00:11:12 Claude Code Isn't It: The Need for Agent Orchestration 00:15:20 The Orchestrator Revolution: From Cloud Code to Agent Villages 00:18:46 The Merge Wall: The Biggest Unsolved Problem in AI Coding 00:26:33 Never Rewrite Your Code - Until Now: Joel Spolsky Was Wrong 00:22:43 Factory Farming Code: The John Deere Era of Software 00:29:27 Google's Gemini Turnaround and the AI Lab Chaos 00:33:20 Should Your Kids Learn to Code? The New Answer 00:34:59 Code MCP and the Gossip Rate: Latest Vibe Coding Discoveries
Podcast: Within Reason with Hank GreenPodcast: Within Reason with VsaucePodcast: Acquired: Microsoft Volume IFavorite Cup o' Go episodes of 2025May 17, Episode 110: Thanks, Ian.
How Shopify Is Building The Future of AI Commerce with Andrew McNamaraShopify's Director of Applied ML, Andrew McNamara, reveals how the new Sidekick Pulse and SimGym features are revolutionizing e-commerce for merchants of all sizes. With 15 years of experience building AI assistants—dating back to pre-Siri days—Andrew breaks down how Shopify is using "LLM as a judge" to ensure quality and why "vibe entrepreneurship" is the future of business.Andrew explains how Sidekick has evolved from a simple chatbot into a proactive "AI Co-founder" that can democratize data for small business owners. He shares behind-the-scenes details on Sidekick Pulse, which performs deep research to surface actionable insights (like finding shipping errors that cost sales), and Simgym, a powerful simulator that uses AI shoppers to A/B test store changes before they go live.We also dive into the technical side of how Shopify evaluates these models using statistical rigor and why the ability for merchants to build admin apps with a single prompt is a game-changer for productivity.---Topics Covered- The 15-year evolution of AI assistants from rule-based systems to LLMs- How Sidekick Pulse proactively finds and fixes business-critical errors- Simgym: Using AI shoppers to simulate A/B tests without risking live traffic- The "LLM as a Judge" framework Shopify uses for product quality control- "Vibe Entrepreneurship" and reducing technical barriers for founders- Building custom Admin Apps in seconds using natural language prompts- Real-world examples from Andrew's own maple syrup store- The difference between general chatbots (Copilot) and specialized agents (Sidekick)- How "App Gen" allows merchants to create custom workflows instantlyEpisode Timestamps00:03 - Introduction to Andrew McNamara and his 15-year history with AI01:01 - Comparing early AI assistants (BlackBerry/Samsung) to modern LLMs06:45 - How Sidekick democratizes data analytics for small merchants11:25 - Deep Dive: Sidekick Pulse and proactive business research15:43 - Using "LLM as a Judge" to replace human evaluation at scale18:41 - Generating custom Admin Apps with a single prompt ("App Gen")21:58 - Andrew's personal experience running a Shopify store25:31 - The concept of "Vibe Entrepreneurship" as a North Star26:30 - Using AI to edit online store themes and layouts in real-time37:39 - Simgym: Simulating buyer behavior to predict experiment results42:06 - Why simulation is critical for both small and large enterprise merchants48:04 - The culture of technical depth and passion at Shopify51:34 - Why Andrew has dedicated his entire career to building assistants---## About Andrew McNamaraAndrew McNamara is the Director of Applied Machine Learning at Shopify, where he leads the development of Sidekick and other intelligent merchant features. Previously the Director of the Montreal Research Lab at Microsoft and a key contributor to Bing Chat (Copilot), Andrew has over 15 years of experience building and deploying AI assistants at scale.Shopify is the leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. It powers millions of businesses in more than 175 countries and offers a unified platform for physical and digital commerce.Resources Mentioned- Shopify Sidekick (AI Commerce Assistant)- Sidekick Pulse (Proactive Research Agent)- Simgym (AI Shopper Simulator)- Microsoft Copilot & Bing Chat- "LLM as a Judge" Evaluation Framework---Partner Links- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube
In this episode, Dr. Wayne Pernell sits down with Dr. Subhan Ali, Silicon Valley–based co-founder of Gekit, a next-generation data + AI infrastructure company. Subhan shares his unconventional journey from structural engineering into data science, product management, and ultimately entrepreneurship. The conversation explores: • How data infrastructure underpins all modern AI • Why context is the secret weapon of LLM performance • How to make bold, non-linear career transitions • The mindset required to leave “safe paths” to create something new • The importance of conviction, constant learning, and self-belief in leadership
Stop making million-dollar decisions alone. Hampton gives you a personal board of eight vetted founders in your city who meet monthly to tackle your hardest problems. Find your group: https://joinhampton.com/What makes a founder truly successful? It's not blind risk-taking or pure hustle. After two years of interviews and supporting research, we break down the five core personality traits that show up again and again in top-performing founders – from billion-dollar exits to early-stage wins. If you're building a company, understanding these traits might just be your cheat code.Here's what we talk about:Why openness and curiosity is the #1 trait in founders (with research to back it up)How a need for achievement often comes from past pain – and how to harness itThe powerful drive for agency and autonomy, and why it often makes founders unemployableWhy emotional regulation might be the most underrated skill in entrepreneurshipWhy successful founders don't love risk – they just know how to manage uncertaintyThe science behind personality types and founder performanceWhen focus becomes the essential balance to curiosityHow therapy, journaling, and self-awareness are now founder-edge toolsThe myth of the stoic leader – and what really works insteadCool Links:Hampton https://www.joinhampton.com/Lower Street https://www.lowerstreet.co/Sponsors:Join 700+ founders hiring A-players in Latin America at hirewithnear.com/moneywiseAchieve your dream body with dailybodycoach.com/moneywiseRank higher in AI tools and LLM results with Mentions.soChapters:(0:46) How Curiosity Drives Founder Success(2:13) Turning Achievement into a Competitive Edge(4:08) Autonomy: The Fuel Behind Entrepreneurial Drive(5:39) Building Emotional Resilience for the Long Haul(6:53) Managing Uncertainty – Not Chasing Reckless Risks(8:17) Grit: The Unseen Force Behind Every Win(13:55) What Happens After the Big Exit?This podcast is a ridiculous concept: high-net-worth people reveal their personal finances. Inspired by real conversations happening in the Hampton community.Your Host: Jackie LamportNot really the host, but the producer.Wrote this sentence.
The adaptation of A.I. has just begun heading into 2026 according to David Nelson, as more companies learn to use A.I. as part of their daily business and adapt their models to take advantage of cost savings, according to David Nelson. He thinks that Salesforce (CRM) will be able to take advantage of companies looking to expand their use of A.I. He also thinks that Alphabet's (GOOGL) Gemini has surpassed ChatGPT and that competition is continuing to heat up in the LLM space.======== 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
The world of prehospital medicine is constantly evolving, driven by new research, technological advancements, and a shared commitment to improving patient care and provider well-being. As EMS professionals, staying informed about these developments goes beyond a professional obligation; it is an opportunity to improve our practice, champion our profession, and ultimately make a greater impact on saving lives. In this article, we will explore some of the latest research findings that are reshaping our field, from workplace culture to cutting-edge technology. The Culture of Care: Supporting EMS Providers Our work is demanding, both physically and emotionally, and the culture within our agencies plays a critical role in our well-being. A recent systematic review in the International Journal of Environmental Research and Public Health revealed that many EMS providers avoid using organizational mental health services due to stigma and a perception that these programs lack genuine care. The study emphasizes the need for person-centered support and a cultural shift that normalizes seeking help as a sign of strength (Johnston et al., 2025). This cultural component also impacts retention. Another study in the same journal found that agencies with collaborative, team-oriented "clan" cultures had significantly lower turnover rates compared to those with rigid or chaotic structures. For leaders in EMS, fostering a supportive environment is not just about morale. It is a strategic imperative for retaining skilled clinicians (Kamholz et al., 2025). Professional Recognition: Breaking Barriers Across the globe, paramedics are striving for recognition as integrated healthcare professionals. A qualitative study in BMC Health Services Research identified common barriers, including outdated legislation, inconsistent regulation, and insufficient funding. While the pandemic temporarily highlighted our capabilities, the momentum has waned. The study calls for targeted policy reforms and investments in education and leadership to solidify our role in the broader healthcare system (Feerick et al., 2025). Physical Demands and Injury Prevention The physical toll of our work is undeniable. A scoping review in Applied Ergonomics confirmed that musculoskeletal injuries, particularly to the back, are rampant in EMS. Tasks like handling stretchers and patient extractions are among the most strenuous. The review also highlighted fitness disparities, with male paramedics generally showing more strength but less flexibility than their female counterparts. These findings underscore the need for targeted injury prevention programs and realistic physical standards to keep us safe throughout our careers (Marsh et al., 2025). Advancements in Cardiac Arrest Care When it comes to cardiac arrest, every second counts. A study in Resuscitation reinforced the value of bystander CPR, showing that dispatcher-assisted CPR significantly improves outcomes for untrained bystanders. For those with prior CPR training, acting independently yielded even better results. This highlights the importance of public CPR education alongside dispatcher support (Tagami et al., 2025). On the scene, our interventions matter immensely. Research in The Journal of Emergency Medicine found that for traumatic cardiac arrest patients, aggressive interventions like prehospital thoracostomy can be lifesaving (McWilliam et al., 2025). Meanwhile, a study in Critical Care Medicine revealed that extracorporeal CPR (ECPR) significantly improves outcomes for patients with refractory ventricular fibrillation, emphasizing the need for early transport to specialized centers. The Role of Technology in EMS Technology is poised to revolutionize EMS, from dispatch to diagnosis. A study in The American Journal of Emergency Medicine demonstrated that large language models (LLMs) like ChatGPT could prioritize ambulance requests with remarkable accuracy, aligning with expert paramedic decisions over 76 percent of the time. This proof of concept suggests that AI could one day enhance resource allocation in dispatch centers (Shekhar et al., 2025). On the diagnostic front, machine learning is opening new possibilities. For example, a study in Bioengineering showed that analyzing photoplethysmography waveforms could estimate blood loss in trauma patients, offering a non-invasive way to guide resuscitation (Gonzalez et al., 2025). Similarly, research in Medical Engineering & Physics explored using multidimensional data to differentiate ischemic from hemorrhagic strokes in the field, potentially enabling more targeted prehospital care (Alshehri et al., 2025). Addressing Disparities in Care Equity in EMS is a cornerstone of our profession, yet recent studies highlight troubling disparities. Research in JAMA Network Open found that ambulance offload times were significantly longer in communities with higher proportions of Black residents (Zhou et al., 2025). Another study in JAMA Surgery revealed that Black and Asian trauma patients were less likely to receive helicopter transport compared to White patients. These findings are a call to action for all of us to examine our systems and biases to ensure equitable care for every patient (Mpody et al., 2025). Looking Ahead The research discussed here represents just a fraction of the advancements shaping EMS today. From improving workplace culture and injury prevention to leveraging AI and addressing systemic inequities, these findings have real-world implications for our protocols, training, and advocacy efforts. As EMS professionals, we have a responsibility to stay informed and apply these insights to our practice. For a deeper dive into these topics and more, I invite you to listen to the podcast, EMS Research with Professor Bram latest episode, https://youtu.be/rt_1AFzSLIk "Research Highlights and Innovations Shaping Our Field.” References Alshehri, A., Panerai, R. B., Lam, M. Y., Llwyd, O., Robinson, T. G., & Minhas, J. S. (2025). Can we identify stroke sub-type without imaging? A multidimensional analysis. Medical Engineering & Physics. https://doi.org/10.1016/j.medengphy.2025.104364 Feerick, F., Coughlan, E., Knox, S., Murphy, A., Grady, I. O., & Deasy, C. (2025). Barriers to paramedic professionalisation: A qualitative enquiry across the UK, Canada, Australia, USA and the Republic of Ireland. BMC Health Services Research, 25(1), 993. https://doi.org/10.1186/s12913-025-10993-7 Gonzalez, J. M., Holland, L., Hernandez Torres, S. I., Arrington, J. G., Rodgers, T. M., & Snider, E. J. (2025). Enhancing trauma care: Machine learning-based photoplethysmography analysis for estimating blood volume during hemorrhage and resuscitation. Bioengineering, 12(8), 833. https://doi.org/10.3390/bioengineering12080833 Johnston, S., Waite, P., Laing, J., Rashid, L., Wilkins, A., Hooper, C., Hindhaugh, E., & Wild, J. (2025). Why do emergency medical service employees (not) seek organizational help for mental health support?: A systematic review. International Journal of Environmental Research and Public Health, 22(4), 629. https://doi.org/10.3390/ijerph22040629 Kamholz, J. C., Gage, C. B., van den Bergh, S. L., Logan, L. T., Powell, J. R., & Panchal, A. R. (2025). Association between organizational culture and emergency medical service clinician turnover. International Journal of Environmental Research and Public Health, 22(5), 756. https://doi.org/10.3390/ijerph22050756 Marsh, E., Orr, R., Canetti, E. F., & Schram, B. (2025). Profiling paramedic job tasks, injuries, and physical fitness: A scoping review. Applied Ergonomics, 125, 104459. https://doi.org/10.1016/j.apergo.2025.104459 McWilliam, S. E., Bach, J. P., Wilson, K. M., Bradford, J. M., Kempema, J., DuBose, J. J., ... & Brown, C. V. (2025). Should anything else be done besides prehospital CPR? The role of CPR and prehospital interventions after traumatic cardiac arrest. The Journal of Emergency Medicine. https://doi.org/10.1016/j.jemermed.2025.02.010 Mpody, C., Rudolph, M. I., Bastien, A., Karaye, I. M., Straker, T., Borngaesser, F., ... & Nafiu, O. O. (2025). Racial and ethnic disparities in use of helicopter transport after severe trauma in the US. JAMA Surgery, 160(3), 313–321. https://doi.org/10.1001/jamasurg.2024.5678 Shekhar, A. C., Kimbrell, J., Saharan, A., Stebel, J., Ashley, E., & Abbott, E. E. (2025). Use of a large language model (LLM) for ambulance dispatch and triage. The American Journal of Emergency Medicine, 89, 27–29. https://doi.org/10.1016/j.ajem.2025.05.004 Tagami, T., Takahashi, H., Suzuki, K., Kohri, M., Tabata, R., Hagiwara, S., ... & Ogawa, S. (2025). The impact of dispatcher-assisted CPR and prior bystander CPR training on neurologic outcomes in out-of-hospital cardiac arrest: A multicenter study. Resuscitation, 110617. https://doi.org/10.1016/j.resuscitation.2025.110617 Zhou, T., Wang, Y., Zhang, B., & Li, J. (2025). Racial and socioeconomic disparities in California ambulance patient offload times. JAMA Network Open, 8(5), e2510325. https://doi.org/10.1001/jamanetworkopen.2025.10325
AI is moving from chat to action.In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does. Resources:Follow Marc Andrusko on X: https://x.com/mandrusko1Follow Stephanie Zhang on X: https://x.com/steph_zhang Follow Sarah Wang on X: https://x.com/sarahdingwangRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
We explore how to align sales, marketing, and operations so growth becomes predictable, not chaotic. Luis Baez shares practical frameworks to productize services, unify data, and raise conversion rates in a world where buyers consult AI before they call you.• breaking silos between sales, marketing and ops• why unified data beats dueling spreadsheets• shifting websites to knowledge bases for LLM era• productizing services into a signature method• pricing to outcomes and standardizing delivery• sprinting to validate offers before scaling• improving microconversions across the funnel• practical tech stack and revenue intelligence tools• managing AI anxiety and proving value with quick wins• human connection as a competitive advantageGuest Contact Information: Website: luisbaez.comLinkedIn: linkedin.com/in/baezluisYouTube: youtube.com/@unhustlingMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show
Richard Gearhart and Elizabeth Gearhart, co-hosts of Passage to Profit Show interview Author or The Real Environmentalists, Jim Beach from The School for Startups, Joe Massa from Podtopia and Nicky Wake from Chapter 2 Dating. In this eye-opening episode, entrepreneur and author of The Real Envivonmentalists, Jim Beach challenges everything you think you know about climate change and environmentalism. He makes the bold case that the real heroes aren't politicians or celebrity activists, but profit-driven entrepreneurs quietly solving massive environmental problems through innovation and hard work. He also shares insights from his experience as the founder of the School for Startups. Read more at: https://realenvironmentalist.com/ and at: https://schoolforstartups.com/ Joe Massa is a podcasting veteran, media strategist, and host of The Measuring Post, and the owner of Podtopia Network, a full-service podcast network that helps creators launch, grow, and monetize their shows while connecting them with top-tier guests and sponsors. Read more at: https://www.podtopianetwork.com/ Nicky Wake is the inspiring founder of Chapter 2 Daing, who transformed her own heartbreaking loss into a powerful, compassionate community helping widows and widowers find connection, hope, and their next chapter. Read more at: https://chapter2dating.app/ Whether you're a seasoned entrepreneur, a startup, an inventor, an innovator, a small business or just starting your entrepreneurial journey, tune into Passage to Profit Show for compelling discussions, real-life examples, and expert advice on entrepreneurship, intellectual property, trademarks and more. Visit https://passagetoprofitshow.com/ for the latest updates and episodes. Chapters (00:00:00) - PODCAST: Starting a Business(00:00:36) - Passive to Profit(00:01:54) - What's the One Mind Shift That separates Business Startups from Just(00:04:15) - Mel Robbins on Just Do It(00:04:56) - How to Start a Law Practice(00:06:45) - Real Environmentalists: The Real Heroes(00:13:58) - The 10 Biggest Celebrity Hypocrites(00:16:11) - In the Elevator With Climate Change(00:17:20) - Are We Harming the Climate?(00:19:22) - Jim Beach on Capitalism and Environmentalism(00:23:51) - Car Shield(00:25:05) - Better Health Insurance for You(00:26:05) - Jim Beach on His School of Entrepreneurship(00:31:45) - What Does an Entrepreneur Need to Know About Law?(00:33:22) - Pioneer Program: Passage to Profit(00:34:40) - AI in Business(00:36:20) - How AI is Automating Your Business(00:38:21) - Are You Using AI In Your Dating Apps?(00:41:47) - Talking Tech: ChatGPT and More(00:43:43) - Are You Using AI in Your Law Firm?(00:47:01) - AI for Business: Considering Your Blind Spots(00:48:30) - Divorce Debt Relief Hotline(00:51:08) - Copyright Law: Singing Songs Should Be Paid(00:54:58) - Podtopia Network: Full-Service Podcast Network(00:58:38) - How to Get Your Voice Heard in the Media(01:03:25) - SEO for Podcasts and LLM's(01:05:37) - How to Break Through in Podcasting(01:08:04) - In the Elevator With Podcast Creator Joe Massa(01:10:28) - How to Connect with Joe Massa(01:10:58) - Widow Dating(01:16:10) - Widows' Fire vs. Chapter 2 Dating App(01:18:53) - Widows in Tech: From Business to Community(01:24:34) - How Can People Find You?(01:25:14) - Turnabout Ranch(01:26:19) - Old Keys, New Life(01:27:31) - Secrets of the Entrepreneurial Mind(01:28:49) - Jim Beach(01:30:06) - Inventors: The Corridor Principle(01:31:08) - What's Your Secret to Success as an Entrepreneur?(01:32:55) - Passage to Profit
In the Pit with Cody Schneider | Marketing | Growth | Startups
If you're not getting cited by ChatGPT, your “AI SEO” strategy isn't working, no matter what your dashboards say. Most of it is observability theater: dashboards, charts, synthetic prompts — and zero actual placement.In this episode, we chat with Shawn Schneider, founder of Eldil AI, about what actually determines whether your company shows up in ChatGPT answers. The short answer: LLMs don't reward more content, clever prompts, or prettier dashboards. They reward a small set of trusted third-party sources — and most brands aren't mentioned in any of them.Shawn breaks down why observability alone creates a false sense of progress, how to identify the specific citations that dominate your category, and how to turn that insight into real placements through outreach and negotiation. We also unpack why Google Search Console is still the best signal we have for AI-driven queries, how to prioritize the one citation that actually matters, and what the first 30–90 days can look like when you do this correctly.GuestShawn Schneider — founder of Eldil AI, a GEO / AI SEO platform focused on identifying and securing the citations LLMs rely on most; helps brands and agencies win visibility in ChatGPT by targeting the power-law sources that shape AI answers.Guest LinksLinkedIn: https://www.linkedin.com/in/shawn-schneider-61b2b5207/ Company Website: https://www.eldil.ai/What You'll LearnWhy most GEO / AI SEO observability tools are meaningless without actual placements The only thing that reliably improves AI search visibility: citation placementsHow to use Google Search Console to surface AI fan-out queriesWhy synthetic prompt data is still unreliable (and what to trust instead)The power law of citations: why only 1–3 sources actually matterHow Eldil turns citation discovery into outreach and negotiated placementsWhat 30–90 days can look like when you secure the right citationWhich industries should invest heavily — and which should ignore this for nowWhy ChatGPT dominates referral traffic compared to other LLMsWhat happens when ads arrive inside AI search resultsTimestamps00:00 — GEO, AI SEO, AEO: noise vs. reality00:21 — Why observability tools don't move the needle03:55 — Where GEO tools get their data (and why it's messy)07:16 — Using Google Search Console as a prompt proxy09:40 — The three pillars: technical, content, authority12:07 — Citations as the dominant ranking lever13:07 — The power law: thousands of citations, one winner19:07 — How fast results actually show up20:39 — When building your own citation content makes sense30:41 — Which business models win with GEO37:11 — ChatGPT ads and the future of AI search41:32 — Where to find Shawn and closing thoughts Key Topics & Ideas1. Why dashboards feel good but don't create outcomes.Most tools are essentially “Google Analytics for LLMs”ChatGPT referrals rise naturally as usage increasesCharts go up even if you do nothingWithout placements, observability is just vanity2. The three common approaches in the market today:Guessing prompts with LLMsClickstream data sourced from Chrome extensions and brokersSynthetic prompts without transparencyEldil uses Google Search Console + Analytics as the best available proxy for real intent.3. How to spot AI-generated fan-out queries:50+ character queriesHigh impressionsLow or zero clicksThese often represent LLMs expanding short prompts into long-form searches.4. The three pillars: Technical, Content, AuthorityTechnical — can an LLM crawl and understand your site?Content — does useful information exist?Authority — does anyone credible back it up?Authority is the multiplier most teams ignore.5. What actually shapes AI answers:Citations are not backlinks, they are semantic explanationsLLMs repeatedly return to the same trusted sourcesThird-party listicles and niche blogs dominate citation share6. The Power Law of Citations10k–15k citations may exist200–300 matter1–3 actually move the needleIf you're not in those, content volume won't save you.7. The real workflow:Identify high-value customer questionsExtract dominant citationsRank them by weightContact site ownersNegotiate placementMonitor AI visibility and referral trafficThis is where most tools stop — and where Eldil focuses.8. How many placements do you need?Surprisingly few.You don't need 100 placementsYou need the right oneThen expand into adjacent verticalsThis is concentrated betting, not spray-and-pray SEO.9. Why GEO feels different from traditional SEO:You are inserting into sources that already rankChanges can show up in weeks, not yearsMeaningful referral growth often appears within ~60–90 days10. Who Should (and Shouldn't) Do ThisBest fit:High-ACV B2B SaaSLong buying cyclesHigh-LTV e-commerce (supplements, skincare)ICPs that already live in ChatGPTIf your customers do not use LLMs yet, start elsewhere.11. Why ChatGPT is the main eventBased on Eldil's data:ChatGPT referrals dwarf Perplexity and othersFor most companies, this is where focus belongsSmaller channels still matter for high-ticket sales12. What's coming nextPaid placements inside LLMsOrganic plus paid becoming a one-two punchCitation inventory getting expensive fastThe window for cheap dominance will not last.SponsorToday's episode is brought to you by Graphed – an AI data analyst & BI platform.With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one placeAsk:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you.
Here it is! We review the year where scaling large AI models hit its ceiling, Google reclaimed momentum with efficient vertical integration, and the market shifted from hype to viability. Join us as we talk about why human-in-the-loop is failing, why generative AI agents validating other agents compounds errors, and how small expert data quietly beat the big models.• Google's resurgence with Gemini 3.0 and TPU-driven efficiency• Monetization pressures and ads in co-pilot assistants• Diminishing returns from LLM scaling• Human-in-the-loop pitfalls and incentives• Agents vs validation and compounding error• Small, high-quality data outperforming synthetic• Expert systems, causality, and interpretability• Research trends return toward statistical rigor• 2026 outlook for ROI, governance, and trustWe remain focused on the responsible use of AI. And while the market continues to adjust expectations for return on investment from AI, we're excited to see companies exploring "return on purpose" as the new foray into transformative AI systems for their business. What are you excited about for AI in 2026? What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.
What are the advantages of spec-driven development compared to vibe coding with an LLM? Are these recent trends a move toward declarative programming? This week on the show, Marc Brooker, VP and Distinguished Engineer at AWS, joins us to discuss specification-driven development and Kiro.
How do you build an AI product that's powerful, reliable, and grounded in real user needs? In this podcast hosted by Qventus Product Director Mark Bailes, Google Product Lead Alankar Agnihotri discusses what it really takes to build impactful AI and LLM-driven products. He shares the hidden complexities behind model behavior, the shift from deterministic to probabilistic design, and what product managers must do to deliver AI experiences that scale. You'll hear firsthand insights from someone shaping Gemini in Android Automotive and building the future of in-car intelligence.
We were inundated with new Windows features in 2025, but which ones actually moved the needle? Fortnite isn't just back on iPhone and Android, it's available on Windows 11 on Arm, and it works great! Plus, 2 big mobile wins for Epic Games and some thoughts on the "right" way to roll out AI features.Windows 11 Best Windows 11 updates of 2025, in no particular order... Dark mode improvements to File Explorer Widgets major overhaul with separate widgets and Discovery feed Xbox Full Screen experience - especially good on handhelds, of course, but also any PC you use for gaming with a controller Click to Do (Copilot+ PC only) External fingerprint reader support for Windows Hello ESS -External/USB webcams supported by Windows Studio Effects (Copilot+ PC only) Quick Machine Recovery is the tip of a wave of new foundational features like Admin Protection, Smart App Control (updates), and more that go beyond surface-level look and feel Redesigned Start menu isn't perfect but it's a nice improvement Copilot Vision, though this type of thing may make more sense on phones AI features in Paint, Photos, Notepad, and Snipping Tool Natural language interactions like the agent in Settings, file search, and more (mostly Copilot+ PC only, but you can do this in Copilot as well) Bluetooth LE support for improved audio quality in game chat, voice calls Gaming on Windows 11 on Arm and Snapdragon X: Major steps forward, but the same issue as always Looking ahead to 2026: 26H1, Agentic features that work, potential Windows 12, and AI PCs AI An extensive new interview with Mustafa Suleyman confirms why this guy is special and how confusing it is that Copilot is so disrespected Microsoft Copilot is auto-installing on LG smart TVs and there's no way to remove it GPT-5.2 is OpenAI's answer to Gemini 3 ChatGPT Images is OpenAI's answer to Nano Banana Pro Disney invests $1 billion OpenAI, sues Google Opera Neon is now generally available for $20 per month AI is moving quick as we all know but the bigger issue may be the incessant marketing about features like agents that don't even work now Microsoft is getting pushback on forced Copilot usage, price hikes Google is expanding its use of "experiments" outside of mainstream products with things like NotebookLM, Mixboard, CC, and much more. Maybe this is the better approach: Test separately and then integrate it into existing products Oddly enough, Microsoft does have a Windows AI Lab for this kind of experimentation Many small models vs. one big LLM in the cloud Mobile Fortnite is back in the Google Play Store in the U.S. as Google plays nice Apple loses its contempt appeal, the end of "junk fees" (Apple Tax) is in sight Xbox and gaming Xbox December Update has one big update for the mobile app and one big update for Xbox Wireless Headphones There's a new Xbox Developer Direct coming in January Half-Life 3 may really be happening, but it will be a Steam Machine launch title so it could be a while Tips & picks Tip of the year: De-enshittify Windows 11 App pick of the year: Fortnite RunAs Radio this week: Zero Trust in 2026 with Michele Bustamante Brown liquor pick of the week: Lark Symphony No. 1 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/963 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: auraframes.com/ink framer.com/design promo code WW outsystems.com/twit cachefly.com/twit
© 2020-2026 Ivy Podcast Discovery LLC
