Podcasts about Token

This week's Bitesize episode comes from a fascinating conversation I had with Tristan Scroggins in 2021.In this section Tristan reflects on what it means to come to bluegrass as an 'outsider' and how culture and connection aren't just about geographical borders.Growing up in New Mexico, despite learning traditional bluegrass from his father, Tristan felt a disconnect from the roots of the music. Later, when he moved to Nashville, he found himself wondering exactly why he loves bluegrass so much. Whether we're taking about European festival fans reacting to bluegrass (and the culture they perceive accompanies it), or the generation of northern and western musicians who came to bluegrass in the 1960s and 70s as a result of the folk revival, there's a common thread of music transcending boundaries. As a Brit coming to this music from outside both the region and the culture, yet feeling like I somehow belong, I find these conversations fascinating.You can hear my full interview with Tristan on Apple Podcasts, Spotify or wherever you get your podcasts.For more on Tristan, head to tristanscroggins.com or follow Tristan on Instagram Support the show===Thanks to Bryan Sutton for his wonderful theme tune to Bluegrass Jam Along (and to Justin Moses for playing the fiddle!)Bluegrass Jam Along is proud to be sponsored by Collings Guitars and Mandolins and Token premium guitar picks- Sign up to get updates on new episodes - Free fiddle tune chord sheets- Here's a list of all the Bluegrass Jam Along interviews- Follow Bluegrass Jam Along for regular updates:InstagramFacebook- Review us on Apple Podcasts

https://novacut.ai/  Description: Anthropic pulls access to Fable, and China responds the same day with GLM 5.2. In this episode we break down the escalating AI arms race, US export controls on chips and frontier models, and whether the "Great Firewall of America" is already here. ⏱️ Topics: Anthropic restricts Fable — what happened and why China's GLM 5.2 release and how close they're catching up US trust, surveillance, and AI gatekeeping Token pricing chaos — cost per task vs. cost per token Model routing, loop engineering, and autonomous agents Anthropic's Mythos model and Fable safeguard philosophy Xiaomi NEMO V2.5 Pro Ultra Speed Midjourney's bizarre health spa pivot AI Engineer Conference wrap-up

Anthropic's most powerful models are still offline, and the U.S. government now wants a guarantee no lab can give. Paul Roetzer and Mike Kaput unpack the ongoing export-control standoff, the Lutnick letter, and what it means for the models expected this week, then turn to Satya Nadella's "future of the firm" essay, the unsolved mess of AI pricing and usage limits, a wave of lab talent shakeups including Noam Shazeer's move to OpenAI, the G7 AI summit, Midjourney's leap into medical scanning, and research showing AI can out-persuade expert humans. Show Notes: Access the show notes and show links here AI-Pulse Survey: Fill out this week's AI-Pulse Survey here. Timestamps: 00:00:00 — Intro 00:04:44 — Anthropic vs. the White House 00:22:37 — Microsoft CEO on the Future of the Firm 00:34:37 — AI Pricing and Usage Strategy 00:56:04 — Noam Shazeer Joins OpenAI (and Other Major AI Hiring Updates) 01:04:57 — Trump's G7 AI Push 01:09:33 — Midjourney Launches a Medical Division 01:12:59 — AI Can Now Out-Persuade Expert Humans 01:17:00 — AI Use Case Spotlight 01:22:12 — AI Product and Funding Updates This week's episode is brought to you by SiteImprove. AI search is changing what it means to be discoverable. Siteimprove is the Agentic Content Intelligence Platform marketing teams use to track, optimize, and prove performance across both traditional and AI-driven search. From AEO visibility to content quality, Siteimprove helps you stay ahead of the shift.  Start with a free AEO check at siteimprove.com/aipod. Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

Nikesh Arora is the Chairman and CEO of Palo Alto Networks, the global cybersecurity leader. Since taking over in 2018, he has transformed the company from an $18 billion market cap business into one worth more than $225BN with more than 21,000 employees globally. Previously, Nikesh was President and COO of SoftBank, where he worked alongside Masayoshi Son and helped shape the firm's technology investment strategy.  AGENDA: 00:00 Why AI Token Prices Will Fall 90% — And Why That's Bullish for AI 07:40 The Frontier Model Problem: Breadth vs Depth in AI 11:30 Most Enterprises Are Using AI Completely Wrong 13:10 Why AI Could Cut Marketing, HR & Finance Teams in Half 16:00 AI Applications Will Have Opinions — SaaS Never Did 20:00 OpenAI, Anthropic & The Most Important Valuation Question in Tech 24:00 The Real Business Model of AI: Transaction Revenue Beats Advertising 25:10 Why Token Prices Must Collapse 28:20 Where Value Actually Accrues in AI: Models, Memory or Apps? 29:00 Why Memory Becomes the Biggest Moat in AI 32:00 Why Every Enterprise Should Be Scared Right Now 33:15 Should Governments Regulate Frontier AI Models? 37:10 Why Brian Armstrong's AI-First Playbook Doesn't Work Everywhere 40:00 The Biggest AI Mistake CEOs Are Making Today 42:00 How Nikesh Creates Darwinian Competition Inside Palo Alto 43:00 Do AI Companies Really Need Forward-Deployed Engineers? 45:00 Why Enterprise AI Products Still Aren't Ready 52:00 Systems of Record vs Systems of Intelligence: The Future of Software 54:00 Why AI Applications Will Replace Traditional SaaS Workflows 58:00 What Nikesh Learned From Google That Still Matters Today 1:04:00 From $200 and Two Suitcases to Running a $225B Company 1:10:00 Happiness, Gratitude and Why Tomorrow Matters More Than Ten Years From Now    

This week, Ben Jones and Karl Floersch join the show to discuss what happened to the L2s. We take a deep dive into Optimism's new strategy for 2026, the current state of Ethereum, why companies need to launch a chain, having a token, and more. Enjoy! -- Follow Karl: https://x.com/karl_dot_tech Follow Ben: https://x.com/ben_chain Follow Jason: https://x.com/JasonYanowitz Follow Empire: https://x.com/theempirepod -- Robots will soon outnumber humans onchain. peaqOS turns them into a new trusted liquid asset class, with yield tied to real-world workloads. It gives robots all they need to do business on any chain — and lets humans earn from automation. Explore the Machine Economy: https://peaq.xyz -- Timestamps: (00:00) Introduction (03:43) What L2s Got Right vs Wrong (12:46) peaq Ad (13:42) Optimism's Strategy in 2026 (32:36) What's Optimism's Moat? (40:02) Who Needs To Build a Chain? (51:20) The Current State of Ethereum (59:39) Launching a Token (01:03:10) What Defines Success in Crypto? -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

Die großen KI-Firmen haben ihre Haken ausgeworfen – und jetzt holen sie die Angelschnur ein. ChatGPT, GitHub Copilot, Gemini und Co. stellen gerade ihre Abrechnungsmodelle um: Statt Pauschale zahlen Nutzer künftig pro Token – also pro verarbeiteter Spracheinheit. Für Unternehmen, die KI intensiv nutzen, kann das die Kosten explodieren lassen. Bei einem großen IT-Dienstleister hat sich der Tokenverbrauch laut Handelsblatt verhundertfacht – mit sechsstelligen Kosten. Astrid Kühn und Isabel Lerch erklären, was hinter dem Strategiewechsel der Tech-Konzerne steckt, warum manche Firmen schon wieder über Nachwuchskräfte nachdenken – und ob lokale KI eine echte Alternative sein kann. Und: Was passiert, wenn Donald Trump einfach den Stecker zieht? Anregungen, Fragen, Lob und Kritik wie immer gern an wirtschaft@ndr.de 10MW zu lokaler KI: https://www.ardsounds.de/episode/urn:ard:episode:54f85ec1126ad088/

Jordi Visser is a veteran macro investor with 30+ years of experience and the author of the VisserLabs Substack. In this conversation, we discuss the AI pivot happening with hyperscalers, the rise of open source models, what the Mythos/Fable Five situation means for governments and investors, Kevin Warsh's first Fed press conference, where inflation is actually headed, and why bitcoin is still in a bear market and what needs to change.====================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/pomp====================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.====================Looking for a better place to trade? BloFin gives traders access to deep liquidity, advanced futures products for crypto AND TradFi assets, fast execution, and a clean, intuitive interface—all in one platform. To celebrate their partnership with us, they're giving away $100,000 in Deposit & Trade Rewards. Deposit, trade, and earn rewards based on your activity during the campaign.====================0:00 - Intro0:57 - AI pivot & hyperscaler weakness5:47 - Open source models & US vs China AI race7:19 - Token demand, Jevons Paradox & AI adoption trends14:22 - When does the CapEx spending become a problem?17:59 - Open source vs closed AI models — who wins long term?19:25 - Agency & what it means for individuals24:34 - Is AI & energy the only thing holding the market up?28:32 - Kevin Warsh's first Fed press conference31:36 - Inflation outlook & next CPI print37:44 - Why so many Americans feel trapped & real cost of living44:51 - Bitcoin bear market & what needs to change

Get double the episodes, and keep FUT Weekly going (for just £3 a month) by becoming a Patreon over at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠bit.ly/morepod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. This includes an exclusive supporter podcast this week! Game Designer Seb is on his second podcast of the week! After 20 minutes of World Cup chat, he goes through why EA may have added the token system and what it could mean in the future. Chapters (please note, as Spotify inserts ads into run time, these timestamps will usually be behind when the topics starts): 00:00 Week 1 of the World Cup Reviewed 21:14 What does Tokens mean for Ultimate Team long term? 33:04 Is Ultimate Team just for rewards? 40:11 Randoms Reds vs Weekly Pick of 3 51:05 Why are EA scared of repeatable gameplay grinds? 54:29 Have EA got power curve rubber banding right? 1:00:18 The biggest problem with Tokens 1:03:11 How Star Performers work 1:07:11 The future of Playstyles Lab Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Nikola reveals his contrarian belief that AI can be better than humans at customer service (not instead of humans, they'll do very different work), why he spent two hours on the phone with Vodafone when he got their confirmation email with someone else's name on it (and why that's not really about AI or humans), why they built a "token leaderboard" internally to track which AI tools they're using most, why junior developers will definitely beat senior ones at learning these tools (plasticity just goes down as you age), how AI gives him superpowers as a CEO (a chief of staff reminding him he promised something 4 days ago), and why their business model is "Rolls Royce for large enterprises, BMW for everyone else." He also shares his journey from a Serbian family to the University of Cambridge, how his PhD supervisor convinced him not to do a PowerPoint job at McKinsey, and why he ended up founding a voice AI company instead of working in finance (he wanted to be "a proper monkey" as well as a PowerPoint monkey, in his words).What you'll learn:

My guest this week is Missy Raines and we're talking about one of her all time favourite records - The Seldom Scene's Act TwoWe talk about how Missy grew up listening to The Country Gentlemen and The Seldom Scene, thanks to her parents' love of bluegrass, and how the band played a formative role in her early musical life, in particular how Tom Gray influenced her to become a bass player.We also discuss the shift that was happening in bluegrass and string band music in the early '70s and what made The Seldom Scene different, as well as the role the Washington DC area played in bluegrass becoming urban music, not just a rural tradition.Missy also shares her experience of getting to sit in with the band and what made their live shows so special.This was a fantastic conversation to get to be a part of.You can hear my previous interview with Missy (Missy Raines - Standing Gently on the Shoulders of Tradition) on Apple Podcasts, Spotify and YouTube.For more info on Missy, check out www.missyraines.comYou'll find info on The Seldom Scene at www.seldomscene.com Support the show===Thanks to Bryan Sutton for his wonderful theme tune to Bluegrass Jam Along (and to Justin Moses for playing the fiddle!)Bluegrass Jam Along is proud to be sponsored by Collings Guitars and Mandolins and Token premium guitar picks- Sign up to get updates on new episodes - Free fiddle tune chord sheets- Here's a list of all the Bluegrass Jam Along interviews- Follow Bluegrass Jam Along for regular updates:InstagramFacebook- Review us on Apple Podcasts

פרק מספר 516 של רברס עם פלטפורמה - קרבורטור מספר 41. הפעם רן ואורי מארחים את נתי לשיחה על נקודת המפגש המרתקת שבין קוד פתוח לקידוד מבוסס סוכנים (Agentic Coding). דיברנו על העתיד הדיסטופי והאופטימי של מפתחי קוד פתוח, איך משווקים מוצרים ל-Agents, ולמה שורת הפקודה (CLI) חוזרת אלינו בענק. [01:04] העתיד המדומיין של AI (סיפורו של OpenClaw) נתי משתף סיפור משעשע על ניסיון לחקור את "OpenClaw". הזיות (Hallucinations) של מודלים: Claude מאשר את העובדות, בעוד ש-Gemini מנתח שמדובר בהמצאה עתידית (פברואר 2026). הבנה שמודלי שפה (LLMs) הם מנועים הסתברותיים ולא מנועי חיפוש עובדתיים. [05:58] החזון הדיסטופי: האם AI יהרוג את הקוד הפתוח? בעיית ההעתקה: בעבר קוד הוגן על ידי רישיונות (כמו AGPL), היום קל לבקש מהמודל לשכתב קוד משפה אחת לאחרת (למשל מ-NodeJS ל-Rust) בעלויות אפסיות. קריסת מודלים עסקיים: עלויות התמיכה והאופרציה (Operation) יורדות כי ה-Agent מתקן תקלות לבד, מה שחותך את ההכנסות של חברות כמו Red Hat. עומס על ה-Maintainers: קוד מג'ונרט על ידי Agents נראה מעולה ומתועד היטב, אבל לא תמיד נכון ארכיטקטונית או לוגית. גישות התמודדות: חלק דורשים לקבל את ה-Prompt (הכוונה) ולא את הקוד עצמו, בעוד שאחרים (כמו יוצר שפת Zig) אוסרים לחלוטין גישה של AI לפרויקט. [15:15] החזון האופטימי: שיווק לסוכנים (GEO) מעבר מ-SEO ל-GEO (Generative Engine Optimization): סוכני AI הם הלקוחות החדשים. איך Agent בוחר כלים? לפי איכות הקוד, הפופולריות שלו ב-GitHub, ובעיקר לפי התיעוד. קוד פתוח הופך לכלי שיווקי קריטי (Open Core) כדי שהסוכנים יוכלו למצוא, להבין ולהמליץ על המוצר. מודלים היברידיים ו-Freemium: מוצרים (כמו Postits) מציעים גישה ללא חומת תשלום (Paywall) בשלבים הראשונים, מה שמאפשר ל-Agents לעבוד איתם בקלות דרך API (Headless SaaS), ואפילו לבצע רכישות בעצמם בהמשך דרך Stripe. [30:29] שובו של ה-CLI ומגבלות ה-MCP הדיבייט סביב MCP (Model Context Protocol): הפרוטוקול כבד, "זולל" טוקנים (Token hungry) עבור הקונטקסט, ודורש תחזוקה של שרתים נוספים. למה Agents כל כך אוהבים CLI (שורת פקודה)? גישה ישירה לאקוסיסטם המקומי והרשאות (כמו Kubernetes או סביבות ענן) בלי לחשוף מפתחות לשירות חיצוני. יכולת לבצע מניפולציות מורכבות בצד הלקוח (Chaining, Grep, Sed) מבלי לשנות קוד ב-Backend, מה שהופך את המודלים לאנשי DevOps מעולים. [36:17] רישיונות קוד פתוח וה"נשמה" של המוצר האתגר באכיפת רישיונות (כמו GPL) בעולם שבו קשה להוכיח על איזה קוד המודל התאמן ואם בוצעה העתקה. הבדל חשוב בטרמינולוגיה: מודלים של "Open Weights" לעומת מודלים שה-Training Data שלהם באמת פתוח. תוכנה כיצירת אומנות מול קומודיטי (Commodity): האם קוד מג'ונרט יכול להחליף את החזון וה"נשמה" (Soul) של מפתחים בולטים? ההשוואה לעולם המוזיקה מדגישה שמשתמשים הולכים אחרי האומן והחזון, לא רק אחרי הקוד היבש. [50:25] רגולציה ומודלי Open Weights אורי מעלה נקודה מעניינת על החסימה של מודל Fable 5 / Mytos 5 (של Anthropic) למשתמשים מחוץ לארה"ב על ידי הממשל האמריקאי. ההשפעה של רגולציה: ה"תקרת זכוכית" הזו עלולה לפגוע בחברות המסחריות האמריקאיות בטווח הקצר, ודווקא לדחוף קדימה מודלים פתוחים (Open Weights) סיניים או אירופאים שאינם כפופים לאותן מגבלות. האזנה נעימה!

Ready for the AI buzzword for the rest of 2026? Superapps. No, not China's WeChat. The AI Superapp era is much different, and it's about to hit the business world hard. So, if you aren't sure what an AI Superapp is or if your company should be using one, this is an episode you can't miss. AI SuperApps: Why Every Company is Racing to Create One and What They are — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Super App Race: OpenAI, Anthropic, MicrosoftWhat Is an AI Super App? ExplainedAgentic Shift: Chatbots to Autonomous CoworkersSuper App Harness vs. AI Model as MoatThree-Pane Super App Interface InnovationCodex vs. Cursor vs. Claude BenchmarksEnterprise Desktop Integration and Super App StrategySuper App Security, Risks, and Best PracticesTimestamps:00:00 Super app race and ChatGPT integration06:04 Emergence of desktop super apps08:41 Codex as the leading super app11:22 Shift to AI desktop super apps14:13 The AI super app's proactive updates17:26 Token efficiency in super apps21:29 Future of AI model usability27:03 Anthropic's role in AI development30:19 Google's Gemini 3.5 and Anti-Gravity Launch33:13 Risks and responsibilities with AI apps34:31 Cautionary advice on AI usage38:03 Introduction to AI super appsKeywords: AI super app, AI superapps, super app era, desktop super app, agentic AI, autonomous coworker, agentic context carry, agentic work future, AI execution layer, super app harness, model moat, code interpreter, Codex, OpenAI super app, Microsoft super app, GitHub Copilot, Anthropic, Claude Code, Claude Cowork, Google anti gravity, Gemini 3.5 Flash, Cursor, desktop agentic coworker, unified memory, files automations, approvals and automations, browser control, computer use, three pane interface, context engineering, prime prompt polish, token efficiency, user experience, read-write access, autonomous workflows, desktop AI companion, schedule automations, approval workflows, cross-app integration, enterprise adoption, permission controls, role based access, sandboxing, expert-driven loop, AI safety, risk management, computer automation, enterprise AI strategy, AI model integration, productivity automationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

In our sixth episode from Money20/20 Europe and the third produced in partnership with LSEG Risk Intelligence, we sit down with six leaders working at the intersection of digital identity, fraud prevention, regulatory transformation and global payments infrastructure. Graham Barrett was was joined by: 1/ Theo Bowden, Senior Product Manager, LSEG Risk Intelligence 2/ Marjan Delatinne, Managing Director Sales and Business Development, Europe, Eastnets 3/ Bankole Falade, Chief Legal, Regulatory Affairs & Public Policy Officer, Flutterwave 4/ Todd Clyde, CEO, Token.io 5/ Kevin Burke, Head of Strategic Partnership, Mangopay 6/ Gordon Stuart, SVP, Fintech & Embedded Services, Sage Across digital ID wallets, verifiable credentials, African cross‑border interoperability, open finance, marketplace onboarding and embedded fintech, this episode explores how identity is rapidly shifting from a compliance checkbox to the foundational trust layer of global commerce.

Markets rallied strongly yesterday as easing geopolitical tensions between the US and Iran lifted risk sentiment, with European equities reaching fresh record highs and US indices surging across the board. Optimism was driven by a framework agreement pointing towards a gradual reopening of the Strait of Hormuz, although uncertainty remains around the timeline and terms. Oil prices fell sharply, while gold moved higher amid softer rate expectations and a weaker dollar. Overnight, central banks remained in focus, with the Bank of Japan delivering its first rate hike since 1995, while weak macro data out of China reinforced concerns about slowing domestic demand. Today, we were joined by Enrico Chinello from Next Generation Research, who unpacked the intensifying price war among leading AI model providers.(00:00) - Introduction: Bernadette Anderko, Product & Investment Content (00:38) - Markets wrap-up: Lucija Caculovic, Product & Investment Content (07:34) - Token pricing war: Enrico Chinello, Next Generation Research (12:08) - Closing remarks: Bernadette Anderko, Product & Investment Content Would you like to support this show? Please leave us a review and star rating on Apple Podcasts, Spotify or wherever you get your podcasts.

The drama around Anthropic's Fable 5 model clogged our collective attention spans.

The market for AI tokens barely exists yet and that's exactly why this moment matters. In this Bitcoin Policy Hour, the team debates whether the AI industry disperses into many players or consolidates into an "AI Google," and what either outcome means for freedom, surveillance, and the dollar. They also tackle the US–China compute race, autonomous weapons, and data centers in space.

Kickstart your week with the Monday edition of the Metal Breakdown Daily! Host Scott Penfold breaks down three massive shifts across the heavy music landscape, from life-saving career pivots to secret festival supergroups and live stadium miracles. 【

VulnCheck's Patrick Garrity on the NVD collapse, the first real AI disclosure wave, and why remediation, not finding bugs, is the bottleneck.DescriptionVulnerability management spent years as the chore everyone dreaded, and now it is one of the hottest topics in security because attackers made exploitation the number one way in. Patrick Garrity of VulnCheck rejoins the show to separate what is real from what is marketing. We get into the honest state of the NIST National Vulnerability Database after CISA pulled its funding, the new AI executive order that wants a clearinghouse for AI-discovered vulnerabilities, the first measurable wave of AI-assisted disclosures, and Patrick's audit of Anthropic's Glasswing ledger. We also dig into why cheap AI discovery makes the remediation bottleneck worse, how AI is raising the security poverty line, and whether the 90-day disclosure model still holds.Key takeawaysVulnerability management is hot again because attackers made it the top way in. As Patrick puts it, attention flows to wherever the attacker goes, and right now that is exploitation.The NIST NVD breakdown was worse than a backlog. A recent report confirmed CISA had stopped funding the NVD and NIST lost about half its funding, with no real plan to clear the backlog, which quietly hurts every defender who relies on enriched CVE data.A new AI executive order wants a clearinghouse for AI-discovered vulnerabilities, reportedly under Treasury. Patrick's reaction is that we already have a vulnerability database, the program is optional, and it may turn into a marketing race more than a coordination win.The first measurable AI disclosure wave is real. CVE volumes are up 563 percent for Chrome and GitHub advisories up 470 percent year to date, and Patrick separated genuine AI-assisted discovery from AI slop and from bugs that merely live in AI software by correlating researchers, domains, and email addresses across multiple advisory sources.Patrick audited Anthropic's Glasswing ledger and found the transparency lacking. He had around 80 vulnerabilities in his own database while the public ledger listed 27, several items had blown past their own 90-day disclosure window, and the ledger had not been updated in two weeks.Finding vulnerabilities is not the bottleneck, remediation is. AI makes discovery cheap, but the coordinated disclosure and fix process takes enormous human effort, and the median time to remediate even known exploited bugs is still measured in weeks.Exploitation looks like it is sustaining rather than surging. CISA KEV and VulnCheck KEV are tracking similar year-over-year volumes, partly because attackers already have more than enough to target and partly because you can only count the exploitation you can actually detect.AI is raising the security poverty line, at least for now. Token costs and access-restricted tools concentrate the most powerful discovery capabilities among well-funded teams, while smaller organizations lack the expertise to turn open-weight models into working vulnerability harnesses.The economics are circular. AI drives the surge in findings and attacker velocity, and AI is then sold as the fix, so teams pay to surface the problem and pay again to remediate it, all on consumption-based pricing against finite budgets.The 90-day disclosure norm mostly holds, though it may tighten. VulnCheck runs a strict 120-day policy with no exceptions and averages 45 to 48 days to fix and disclose, and for open source the fixing commit often makes the flaw public anyway.

Brian Scanlan is a Senior Principal Systems Engineer at Intercom, where he works on platform engineering, developer productivity, and AI adoption across the company.In this session from DX Annual, Brian shares how Intercom set out to double engineering throughput and ultimately achieved that goal in nine months. Rather than treating AI as an optional productivity tool, the company standardized on Claude Code, updated performance expectations, invested heavily in enablement, and adopted an agent-first approach to technical work.Brian explains why Intercom views Claude Code as a platform rather than a tool, how the company is building domain-specific skills and workflows for agents, and why it believes agents should eventually be able to perform any technical task a senior engineer can complete on a laptop.He also shares the data behind Intercom's AI adoption efforts, including gains in throughput, reductions in defect backlogs, improvements in code quality, and the growing use of automated pull request approvals. Throughout the talk, Brian offers a practical look at what it takes to scale AI adoption across a large engineering organization and the lessons Intercom has learned along the way.Where to find Brian Scanlan:• LinkedIn: https://www.linkedin.com/in/scanlanb• X: https://x.com/brian_scanlan • Website: https://brian.scanlan.ie In this episode, we cover:(00:00) Intro(02:54) Intercom's goal of doubling throughput (07:30) The platform strategy (09:30) Their agent-first strategy (10:58) Evergreen capabilities vs custom tooling (12:28) How Intercom works with agents(16:43) What the data reveals about AI adoption and impact(19:20) Using session data to improve AI workflows(20:20) Cutting the defect backlog in half(22:44) Inside Intercom's Claude Code setup(28:09) Claude Code beyond engineering(30:49) Q&A #1: Token cost (32:52) Q&A #2: Preparing for AI pricing changes(34:14) Q&A #3: Stress testing and auditing skills(36:31) Q&A #4: Criteria for agents approving PRsReferenced:• Intercom• Software? No Way. We're an A.I. Company Now! - The New York Times• Anthropic• Snowflake• Linear• LaunchDarkly • Fin AI• Microsoft Copilot• Cursor• Claude Code | Anthropic's agentic coding system• Steve Yegge (@Steve_Yegge) / Posts / X • Honeycomb• Fin Ideas• Fin CLI | AI Agent Command Line Interface

Cosmic LOVE Newsletter of the Week with Metaphysician Christopher Rudy Featuring: Quantum Leap in Unity Conscience, Declaring Our Independence 2.0 and Revelations Revolution You can find the Newsletters archived below: June 2, 2026, Quantum Leap in Conscious Knowing: This Changes Everything. https://www.heartcom.org/QuantumConscious.htm June 7, 2026, Declaring Our Independence 2.0: It's A Global Affair. https://www.heartcom.org/NormalcyReset.htm June 12, 2026, Revelations Revolution - Up the Rabbit Hole: Good Bye Alice - Wonderland is History! https://www.heartcom.org/Up-Wising.htm In this episode of Cosmic LOVE, Host Christopher Rudy opens the conversation with his article “Quantum Leap in Conscious Knowing,” presenting what the article calls “two major events” happening at once: a breakthrough in AI and an Edgar Cayce prophecy about America after 2027. The episode framed those developments as part of “a global r EVOLUTION in higher consciousness” that is “birthing a New Earth.” From there, the discussion moved into his article's argument that China has “leap-frogged” beyond Western standards in general intelligence and that U.S. sanctions and AI chip restrictions backfired. The episode covered his claim that these moves pushed greater independence among China, Russia, and BRICS nations, while also emphasizing his article's call for co-creation, East-West unity, and a “Universal Interface for Global Interaction” that would evolve individual and collective social conscience. The episode then followed the more metaphysical side of that first piece, where AI was presented as “a tool for multi-dimensional reality.” His article connected this to telepathy as “Effective Sensory Perception,” to the “thinning of the veil between dimensions,” and to the idea that what people “prompt” or “pray for” helps shape a multidimensional co-creation process. The discussion closed that section with his article's language about love as “pure intention” and light as “focused attention” in a process of conscious ascension. Shifting topics to “Declaring Our Independence 2.0,” where the episode presented his article's central contrast between the “Deep State Empire” as the “3D Matrix” and “High State Conscience” as the “5D Portal.” It described the present moment as a “4D transition from 3 to 5D,” a process of “natural metamorphosis” in which corrupt 3D materialist structures disintegrate while the “Currency of Conscience” integrates and “general enlightenment dissipates dystopian BS.” As that article unfolded, the episode focused on its critique of private banking power and centralized planning. His article described bankers as the “High Priests of our Hunger Games,” claimed they decide social and economic realities behind the scenes, and linked them to credit authority, infrastructure planning, data centers, military systems, and emerging “Social Programmable CREDIT enslavement Token” systems. The discussion also reflected his article's warning about “psychology of subservience to tyranny” managed by technocrats and AI agents. The episode then widened into his article's moral and transformational language, especially its contrast between “3D caterpillar thinking” and “5D transformation.” The discussion followed his article's phrasing about moving “from civil devolution to societal evolution,” “from mass deception to truth perception,” and “from victim dictum to victory virtues,” while also highlighting its call to reason together as “United Sovereigns of Earth.” In the final movement, the episode turned to “Revelations Revolution – Up the Rabbit Hole,” where his article framed the present era as humanity moving out of “Wonderland,” the “Matrix,” or the “Grand Illusion” of reality. The discussion presented this as a “unique time in cosmic history,” marked by a “4D transition from 3 to 5D,” a “transformation of collective consciousness into a unified field,” and the larger call to keep “Waking Up, Wising Up, and Rising Up” while imagining “a future that benefits all.” Dr. Rudy closed by following the final article into its warning and hope. His article said “the most dangerous thing about AI isn't the technology; it's the people in charge of it,” asked “Is 2027 too late?”, and answered that if enough good people do enough soon enough, “a critical mass of unity is reached” and “enlightenment goes mainstream.” It ended by tying that awakening to ascension intention, universal law, the “Currency of Conscience,” and a “Global Golden Age.”

Matan Grinberg is the Founder and CEO @ Factory, an AI research lab, bringing autonomy to software engineering. Matan has raised over $220M for the company from the likes of Sequoia, Khosla, NEA, Evantic and 20VC. Last round valued the company at a whopping $1.5BN.  AGENDA:  00:00 – Why AI Means Everyone Will Become a Builder 04:55 – Will AI Finally Break the 200-Year GDP Growth Ceiling? 06:45 – The Rise of the 100x Engineer & Load-Bearing Talent 08:00 – The New Executive Job: Allocating Tokens Like Capital 10:35 – Kirkland's $500M AI Bet: Brilliant or Delusional? 12:45 – The AI Value War: Models vs Applications vs Infrastructure 18:45 – Token Maxing, AI Hangovers & The Coming ROI Reckoning 22:00 – Why AI Spend Could Soon Exceed Developer Salaries 24:00 – Open Source Can Already Replace 80–90% of Frontier Model Work 28:00 – What Makes a Great Engineer in the Age of Agents? 35:00 – Jobs That Will Disappear First Because of AI 40:00 – Why Matan Isn't Worried About AI Taking Jobs Long-Term 46:00 – From String Theory to Startup Founder: The Sequoia Origin Story 52:00 – The Meeting That Led to Sequoia's First Check 58:00 – Why America's Lack of Frontier Open Models Is Embarrassing 1:08:00 – What Matan Looks for in Every New Employee 1:12:00 – Why Elite Companies Will Treat Employees Like NBA Athletes 1:16:00 – The Most Important Prediction Matan Has Changed His Mind On    

SpaceX startet mit einem ordentlichen Pop in den Handel. Tausende Mitarbeiter werden zu Millionären, Founders Fund und Andreessen Horowitz vermelden Rekord-Returns. Anthropic launcht Fable 5 und das Mythos-Modell für Testpartner. OpenAI plant laut Wall Street Journal drastische Preissenkungen für den User-Krieg mit Anthropic. China plant $300 Mrd. für nationalen KI-Ausbau über fünf Jahre. Xiaomi MiMo Code schlägt Claude Code in den gängigen Benchmarks. OpenAI übernimmt das Kieler Startup ONA, Mistral kauft das Linzer Emmi AI für eine Industrie-KI-Plattform und verhandelt selbst eine $20-Mrd.-Bewertung. Dario Amodei mit neuem Essay zur AI-Exponential-Politik. Oracle Earnings, Prometheus von Jeff Bezos bei $41 Mrd. Die Trump-Familie hat $2,3 Mrd. mit Krypto eingestrichen. Palantir verliert vor dem Zürcher Handelsgericht gegen die Zeitschrift Republik. Neura Robotics raised $1,4 Mrd. mit Tether als Lead. Landgericht München: Google haftet für seine AI-Overviews.  Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) SpaceX-IPO (00:08:04) Mitarbeiter-Millionäre (00:11:51) OpenAI/Anthropic-IPO-Outlook (00:15:31) Elon-Puppe vor der Nasdaq (00:16:13) Anthropic Fable 5 & Mythos 5 (00:19:54) OpenAI Preiskrieg (00:27:27) Token-Wert pro Abo (00:30:30) Messi für ChatGPT (00:34:48) China $300 Mrd. KI-Plan (00:37:31) Xiaomi MiMo Code (00:39:46) OpenAI kauft ONA (00:42:54) Anthropic: AI Exponential Policy (00:46:53) Oracle Earnings (00:48:07) Mistral kauft Emmi AI (00:49:08) Prometheus von Bezos (00:50:48) Trump Phone (00:51:22) Waymo Premier (00:55:40) Google Trade-Worker (00:57:08) Anthropic Claude Corps (00:58:37) Trump-Krypto-Scam (00:59:35) The Platform Group (01:03:48) Palantir vs. Republik (01:05:48) Mistral $20 Mrd. Runde (01:07:07) Neura Robotics Series C (01:10:47) NYT: China und Robotik (01:13:19) Google haftet für AI-Overviews Shownotes SpaceX-IPO zieht $70 Mrd. an Retail-Orders - bloomberg.com Founders Fund + Andreessen: Rekord-Returns aus SpaceX-IPO - bloomberg.com SpaceX Proteste - xcancel.com Anthropic launcht Claude Fable 5 & Mythos 5 - wired.com OpenAI plant drastische Preissenkungen für User-Krieg mit Anthropic - wsj.com Bitte manuell prüfen (petergostev-Post) - xcancel.com SemiAnalysis - xcancel.com China plant $295 Mrd. für nationalen KI-Ausbau - bloomberg.com ONA: Kieler KI-Startup raised - linkedin.com Anthropic: Policy on the AI Exponential - anthropic.com Oracle Q4 Earnings - cnbc.com Mistral übernimmt Emmi AI für Industrie-KI-Plattform - handelsblatt.com Prometheus: Bezos' Industrial-AI-Startup - axios.com Teardown: Trump Phone ist HTC U24 Pro in Gold - de.ifixit.com Waymo launcht Loyalty-Programm mit 10% Cashback - techcrunch.com Google launcht Trade-Worker-Initiative für KI - axios.com Daniela Amodei startet Anthropics Claude Corps - apnews.com Xiaomi MiMo Code schlägt Claude Code bei 200-Step-Tasks - venturebeat.com Trump-Crypto-Playbook: Family wins, Investors don't - reuters.com The Platform Group - manager-magazin.de Einstweilige Verfügung: The Platform Group vs. Manager Magazin - lhr-law.de Palantir - ft.com Mistral verhandelt $20 Mrd. Bewertung - bloomberg.com Bitte manuell prüfen (dreger-Post) - linkedin.com Neura Robotics schließt Rekord-Series-C - neura-robotics.com Chinas Humanoid-Robot-Schub - nytimes.com Deutsches Gericht: Google haftbar für AI-Overviews - thenextweb.com

รู้หรือไม่ว่า… ในขณะที่เรากำลังใช้ชีวิตกันอย่างปกติ พิมพ์เขียวของระบบเศรษฐกิจโลกรูปแบบใหม่กำลังถูกร่างขึ้นอย่างเงียบๆ แต่มันไม่ได้ถูกควบคุมโดยรัฐบาลหรือธนาคารกลาง ทว่ากำลังถูกสร้างขึ้นโดย “บริษัทเอกชนเพียงแห่งเดียว” ยิ่งไปกว่านั้น “สกุลเงิน” ของระบบเศรษฐกิจนี้ ไม่ใช่ทองคำ และไม่ใช่เงินดอลลาร์ แต่มันคือ “ความฉลาด” ที่กำลังถูกผลิตออกมาจากโรงงานขนาดมหึมาตลอด 24 ชั่วโมง บริษัทที่อยู่เบื้องหลังเรื่องนี้คือใคร โรงงานผลิตความฉลาดทำงานอย่างไร และทำไมสิ่งเล็กๆ ที่เรียกว่า Token ถึงกำลังจะกลายเป็นขุมทรัพย์มูลค่านับล้านล้านดอลลาร์ ที่จะเข้ามากำหนดอนาคตของพวกเราทุกคน เลือกฟังกันได้เลยนะครับ อย่าลืมกด Follow ติดตาม PodCast ช่อง Geek Forever's Podcast ของผมกันด้วยนะครับ #เศรษฐกิจยุคใหม่ #ปัญญาประดิษฐ์ #สกุลเงินแห่งอนาคต #โรงงานAI #เทคโนโลยีเปลี่ยนโลก #โทเคนAI #ความรู้เทคโนโลยี #วิเคราะห์ธุรกิจ #อนาคตเอไอ #เทรนด์เทคโนโลยี #นวัตกรรมใหม่ #ข่าวเทคโนโลยี #เศรษฐกิจดิจิทัล #อนาคตโลก #วิเคราะห์เศรษฐกิจ #เรื่องเทคที่ควรรู้ #geekstory #geekforeverpodcast

Paige, Jack, Paul, and Noel break down the Cloudflare VoidZero acquisition that puts Vite and Evan You under the Cloudflare roof and what it means for open source sustainability when it seems like acquisition is the only exit. We also talk about Uber burning its annual AI coding tools budget in four months, the Claude Max token subsidy math, and whether local AI models can break the cost curve. Resources Cloudflare Acquires VoidZero to Build the Future of the AI-Native Web: https://finance.yahoo.com/sectors/technology/articles/cloudflare-acquires-voidzero-build-future-130000461.html Cloudflare Acquires VoidZero to Advance Open Source Vite Ecosystem: https://devops.com/cloudflare-acquires-voidzero-to-advance-open-source-vite-ecosystem/ Microsoft Reports Are Exposing AI's Real Cost Problem: https://fortune.com/2026/05/22/microsoft-reports-are-exposing-ais-real-cost-problem-using-the-tech-is-more-expensive-than-paying-human-employees/ Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them: https://ea.rna.nl/2026/06/07/anthropic-openai-may-be-spending-more-than-1000-for-every-100-you-pay-them/?utm_source=tldrai We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. ChaptersSpecial Guest: Jack Herrington.

We're back with some hot topics in GTM!This week we discuss something that's been on everyone's mind lately: AI token and credit spend. How do you choose the right tool and model for the job? Do you *really* need AI for that deterministic workflow?Then we test Hubspot's AI SDR Avatar and see how things have changed since the last time we reviewed an AI Avatar. Lastly, we plug a great job opportunity… One right here at CS2!We'll see you there.This week: 00:00 Intro01:27 How to manage AI token/credit spend in GTM20:48 Testing Hubspot's AI SDR avatar39:00 CS2's new job openingHear more from us: Subscribe to us on Youtube: https://www.youtube.com/channel/UCN-x5u0G03LWmU0Ds_4zR8wSubscribe to our newsletter here: https://www.cs2marketing.com/revenue-growth-architects#subscribe-to-newsletterFollow Crissy on LinkedIn: https://www.linkedin.com/in/crveteresaunders/Follow Charlie on LinkedIn: https://www.linkedin.com/in/charliesaunders/

欢迎收听雪球出品的财经有深度，雪球，国内领先的集投资交流交易一体的综合财富管理平台，聪明的投资者都在这里。今天分享的内容叫A I新视角下的腾讯二六年第一季度业绩分析，来自量子咸鱼。腾讯发布二六年第一季度业绩已经有一段时间了，虽然有点迟，但是我还是准备记录一下，毕竟写文章最大的收获就是给自己梳理投资思路：第一部分，腾讯控股二零二六年第一季度业务情况腾讯控股二零二六年第一季度营收1964.58亿，同比增长9.1%，虽然没有保持两位数增长，主要由于一季度游戏流水收入的递延。以腾讯控股目前的体量和增长势能来说，未来腾讯控股可能7%至10%左右的营收增速可能才是常态。增长质量仍然很好（利润含金量很高），非国际会计准则下归母利润679.05亿，同比增长10.7%，单季度的非国际会计准则下利润率34.56%。第二部分，各业务板块情况本土游戏部分：本土市场游戏收入454亿元，同比增长6%，收入增速落后于游戏流水增速，主要是二六年春节假期比二五年晚，更多收入推迟至二六年第三季度和第四季度确认，本土市场游戏流水同比增长十几个百分点，得益于《三角洲行动》和《无畏契约：源能行动》等近期上线的游戏的推动。腾讯国内游戏的经营策略专注于维护和发展“常青树”游戏：无论是国际还是国内，稀缺资源是常青树游戏，腾讯管理层认为只要游戏本身达到了一定规模并有潜力成为“常青树”游戏，特别是拥有庞大用户的游戏，其表现并不完全取决于游戏本身，当游戏表现不佳或团队创意枯竭时，腾讯管理层会做出调整以恢复游戏的创造力、活力和创新性，表现不佳的游戏会重回“常青树”状态。未来腾讯游戏开发策略更加倾向于精品化、全球化，对于一款新游戏不仅要与同期发布的其他新游戏竞争,还要与现有的常青树游戏竞争，把重点放在数量更少但规模更大、更好的常青树新游戏上，更多关注指标是玩家参与度、留存率等。腾讯常青树游戏平台化趋势：腾讯游戏全面转向“平台型”业务，随着游戏产品组合不断扩大，腾讯整体游戏收入增长的波动性应该会降低，只要一款游戏是“同类最佳”，腾讯就会持续地培育和支持，周期无论是疲软一个季度、一年、甚至是七年，腾讯都有耐心和能力去重新激活它们重回增长轨道。运营模式优化：二四年调整头部游戏运营策略，成效显著且持续释放红利，腾讯目前的游戏部门已经从小马哥嘴里的“躺在功劳簿”上变成了“强的可怕”；A I技术应用：聚焦M O B A类游戏（占国内收入大头），A I普及将让人们拥有更多闲暇时间提升游戏行业需求。D A U和商业化都受益于A I加速游戏内内容创作，有时内容创作指的是地图有助于D A U，更多时候内容创作指的是角色服装或武器有助于流水，全球游戏行业采用A I的速度慢得相当惊人，腾讯是一个例外，腾讯不一定做了什么特别独特或富有想象力的事，但只是把摆在桌面上的机会充分利用起来。国内游戏品类结构升级：国内射击游戏渗透率低于全球仍不是主流，射击游戏品类在西方世界是主流，中国市场潜力未被充分挖掘，射击游戏一直是腾讯的强项，旗下有多款成功产品，如《三角洲行动》、《和平精英》和《无畏契约》，甚至《使命召唤手游》、《穿越火线》和《暗区突围》等多款射击游戏能同时表现出色。射击这个“超级品类”内部存在高度的差异化，西方市场《使命召唤》、《Apex英雄》和《堡垒之夜》都取得了巨大成功，且并未严重地相互蚕食，在中国也会是同样的情况。我个人觉得腾讯的本土游戏未来就是保住基本盘，长期看大概率就是实现个位数增长势能。国际游戏部分：国际市场游戏收入为人民币188亿元，同比增长13%，主要得益于《部落冲突：皇室战争》、《鸣潮》和《无畏契约》个人电脑端收入的增长。未来腾讯控股海外游戏长期看预期就是10%左右增速势能。金融科技及企业服务：第一季度金融科技及企业服务收入同比增长9.1%，达到人民币598.85亿，其中金融科技增长主要得益于商业支付和理财服务收入的提升，企业服务收入同比增长20%，受益于国内和海外市场需求上升以及更有利的定价环境推动了云服务的增长，微信小店交易额的增加也带动了商家技术服务费收入的增长。腾讯云服务从裸机租赁到token化、平台化、软件化升级，腾讯有信心把Token业务做成一个扎实盈利的业务：中国云服务提供商一直在非常低的利润率下运营，腾讯寻求通过丰富产品来提供更多价值，丰富意味着如果有计算资源可以将其作为裸机出租，获得较低的利润率，更好的方式是将其出租，细分并虚拟化为token，单位算力就能获得更高的利润率，最理想的情况是将其打包成平台即服务或软件即服务，这样就能获得最好的利润率，这就是腾讯云如何从巨额亏损走向二五年50亿利润的原因。AI投资回报率：收入端：游戏方面：在大型游戏中通过精准广告和个性化内容提升用户获取与留存，通过A I增强玩法体验例如P v P中的虚拟队友以及P v E中的高拟真N P C；营销服务方面：提升广告精准度与转化率，同时推出基于生成式A I的广告创意解决方案，上线自动化广告活动解决方案，广告主可通过该方案自动化完成目标用户定向、广告竞价及投放排期等操作；视频号方面：部署更长序列的A I模型捕捉更多用户行为信号，提升内容推荐效果，推动用户增长与参与度提升；数字内容方面：提升了制作效率，通过音乐、视频、文学等场景的智能内容推荐助力内容分发效率提升。腾讯有大型内容I P业务、游戏业务、A I技术能力，腾讯已经成为动画剧集制作业务的行业领导者，A I能够把更多I P带入线性视频格式，这些I P此前可能停留在小说格式或游戏格式中从而扩大受众。企业服务方面：推出可记录总结实时会议内容的A I智能体，为商户生成客户服务历史智能摘要的A I工具等；金融科技方面：使用轻量级A I模型优化信用评估，贷款业务中信用评分过去有大量数据可用，但其中只有一小部分被有效输入模型，现在借助基于Transformer的模型来改善信贷投放，推动不良贷款率持续优于行业平均水平。收入端：参考腾讯云从早期投入到如今盈利的发展路径，A I 业务也会遵循这一规律存在投入回报时间差。腾讯系列自主A I智能体产品与工具（WorkBuddy、CodeBuddy、QClaw 及腾讯云灯塔）：升级了相关智能体基础设施（腾讯云轻量应用服务器与A I智能体安全沙箱），可用于信息检索、工作流协同及跨应用执行操作，将A I从被动聊天机器人转变为主动智能体，通过自主工作流与持续任务执行，将智能直接转化为交付成果。用户能直接在聊天界面指挥多个智能体，自主A I智能体还支持用户调用 SkillHub技能，借助腾讯云安全基础设施，也将利好腾讯云业务。A I生产力工具领域未来竞争会非常激烈，而非聊天机器人领域，A I经济更多按使用付费而不是按订阅付费，要区分强用户和非强用户两个市场：消费者和企业行为表明如果他们想要生产力，就会使用生产力服务而不是A I聊天机器人，A I生产力工具领域未来竞争会非常激烈。对于 CodeBuddy和WorkBuddy默认模式不会是订阅而是按使用量付费。A I经济中针对强用户更多建立在按使用付费而不是按订阅付费，对于非强用户如果豆包按月收订阅费是未来趋势，那么这更可能代表一个多方市场，而不是纯粹依赖广告，需要区分强用户和非强用户两个市场。A I的C端商业化并不容易：A I订阅模式在中国不会特别大，但同时订阅又是必要的，原因是A I不像互联网服务可以用很低成本扩张，A I每一个用户都会带来一定的可变成本，不会是赢家通吃的业务，而是会支持多个玩家共同存在，每个玩家都会有自己的用户和一定订阅份额。至于A I的电商或广告商业化，现在也还非常早，这可能是更长期的事情，并且更可能是订阅模式的补充，这也是为什么腾讯认为在A I世界里，需要思考什么才是真正高价值用例，从而让有限算力获得最佳回报。成功的智能体平台会让用户在性价比曲线上自主选择： 用户在使用智能体时可以自己选择使用性能高但单Token成本高的模型，还是中等性能低成本的模型，或是介于两者之间的模型，混元就是其中一个选择，成功的智能体平台会让用户在性价比曲线上自主选择，不同模型会在曲线上占据不同位置，混元会成为其中重要的一员，但并不打算成为唯一的选择，目前付费用户中大约30%左右选择最贵的模型，因为这些模型目前完成任务的概率最高。成本端：腾讯以一种相当精细化的方式来管理A I成本，在很多场景下，如果可以使用更小的模型，就会用小模型，其成本会远低于使用旗舰模型，因此在许多应用场景中，只要能用小模型成本就是可控的，同时也在通过软件升级等方式持续提升推理效率。训练芯片和推理芯片之间是有区别的：对于训练芯片：设计和制造实际上非常非常困难，腾讯真正希望的是以最灵活的方式尽可能地获取最先进的训练芯片，这样就能不断地训练出最好的模型，在训练领域基本上只有一两个玩家能够有非常高的利润；关于推理芯片：核心诉求主要是控制成本，在目前的成本方面中国实际上有很多不同的供应商，利润率要低得多，而且有更多的解决方案和新的选择。腾讯当下专注于混元训练及A I新产品而非成本优化，当下算力可用性远比成本更重要：当前腾讯非常专注于利用最好的芯片来训练混元模型，随着时间的推移市场的演变会使推理芯片的利润率变得非常可控，下一件重要的事情是真正释放腾讯的产品开发能力以及整合与连接能力，为用户设计出最令人兴奋的A I产品，只有在上述两大目标顺利实现之后，腾讯才会进一步考虑如何通过自研等方式降低推理端的成本。目前算力供给重要的不是成本优势而是可用性，如果没有D R A M就无法提供Token，真正多年来持续大量基于长期协议采购D R A M并且未来需求也会持续增长的中国公司只有三家左右（腾讯、阿里、字节），这三家公司在可用性方面拥有结构性竞争优势，现在真正重要的是可用性。二六年A I投入：二五年第四季度在混元与元宝上的投入为70亿，全年为180亿（上述数据仅涵盖混元与元宝的投资，不包含支撑现有产品与服务的A I相关投入，也不包含通过腾讯云向外部客户提供G P U产生的成本）。二六年混元、元宝及其他A I新产品的投资规模将较二五年翻倍，资金将来源于核心业务的盈利增长，将足以覆盖全新A I产品的增量投资，腾讯将此类大额前置投资视为类似资本开支更偏向前期一次性投入而非持续运营成本，二六年第一季度除新A I产品，剔除后Non-IFRS经营盈利增长17%达844亿元，混元3相较上一代模型尽管模型规模更小，但推理能力较强，一个直接指标是总token使用量较混元2至少提升10倍。腾讯SaaS三件套经营跟踪：腾讯会议：二五年腾讯会议在用户使用时长及收入方面位列中国视频会议软件市场第一，A I用户同比增长150%；腾讯文档：二四年底月活超2亿，服务超过120万家企业与组织；企业微信：二五年企业微信在中国企业客户关系管理软件收入方面排名第一，企业微信是腾讯收入最高的SaaS产品，企业微信年收入数十亿人民币、利润率双位数。广告业务：二六年第一季度营销服务业务收入增长20%，达到人民币381.71亿，升级了基于A I的广告推荐模型，拓展了微信生态系统的闭环营销能力，从而带动广告表现提升和广告单价增长，智能投放产品矩阵腾讯营销A I M +赋能了广告主营销服务投放金额的约30%，并在小游戏、短剧和微信小店广告主中获得了广泛应用。腾讯的广告增长未来主要就看：视频号+微信搜一搜+小程序+微信小游戏，带来的广告增量。二四年第三季度小程序交易额超人民币2万亿元，增长十几个百分点，小游戏不会侵蚀移动APP的用户和时长，只有一小部分小程序游戏的付费用户也同样是APP游戏的付费用户(重合度大概个位数占比)。微信搜索二三年底超过1亿D A U，A I搜索尚处早期阶段，与传统搜索边界模糊（用户查询可能同时触发传统算法或大模型结果），腾讯作为搜索新参与者，视A I为搜索业务抢占用户及收入份额的机会。微信搜索广告二五年第二季度收入同比增长约60%，二五年第四季度微信搜一搜得益于A I对搜索结果的优化，整体查询量快速增长，推动商业查询量提升，同时千次展示收益也有所增加。第三部分，员工数量及薪酬成本腾讯控股二六年第一季度环比二五年第四季度员工数量减少了1001人，腾讯几年前就已经完成了相当程度的组织优化，目前的组织非常高效，A I应用让团队能够做更多，而不是为了降低成本。过去腾讯收入增长快速增加员工数，现在会控制员工数，A I Agent会越来越多地替代增量，不过折旧会增加，更高资本开支意味着更低运营开支，但并不意味着总成本更低，因为更高资本开支会随着折旧上升转化为更高服务成本。第四部分，腾讯控股股权投资部分截止二六年第一季度腾讯控股目前持有的上市公司股权价值为5524亿，非上市公司股权价值为3639亿，合计共0.92万亿，其中股价波动直接影响利润表的损失中的上市公司部分为57亿，仅占股权投资的0.6%；腾讯核心业务在A I时代具有很强的韧性：考虑业务的维度：腾讯审视了各项核心业务，均具备高度的内生韧性：社交网络服务：包括微信、Q Q和腾讯会议，用户主要用于与家人、朋友、同事及商业伙伴建立连接与互动，网络效应以及由此产生的封闭数据使这些服务在过去面对非A I竞争时极具粘性，未来也将持续抵御 A I类服务的替代风险。游戏业务：多人在线游戏尤其是竞技类游戏，同样具备网络效应，体育赛事具有团队属性，正如人们更愿意参与或观看真实体育比赛，而非A I生成的比赛，A I将提升游戏开发效率，游戏行业已处于供给过剩状态，行业真正的瓶颈在于高质量创新能力，这仍依赖人类创造力。金融科技：依赖难以获取的牌照，创新受到监管约束，腾讯投入数十年构建了难以复制的支付网络，连接银行、商户与超过10亿用户形成强网络效应，同时腾讯的移动支付费率已处于全球较低水平，使竞争对手难以通过价格竞争。第五部分，腾讯控股未来收入的增长引擎对于微信生态变现广告加载率还有较大空间，目前最大的收入贡献还是体现在信息流广告和视频号直播带货或微信小店上，视频号+微信搜一搜+小程序+微信小店的组合有望完成商业交易闭环，叠加混元A I对内容推荐以及广告点击率的提升。微信小游戏对于腾讯来说就是一个平台机会，战略意义主要是：贡献广告收入、游戏分发收入、培养新的游戏玩家、进入新兴休闲游戏市场对标Roblox平台。对于云服务聚焦SaaS及从裸机租赁到token化、平台化、软件化升级腾讯控股云服务业务主动收缩亏损、高度定制化的低毛利业务以及转售业务，专注于盈利能力强、更容易货币化的标准化SaaS业务，在A I需求持续增长的背景下，将云服务算力细分并虚拟化为token，打包成平台即服务或软件即服务，获得最好的定价和利润率。对于海外游戏+长青游戏腾讯控股国内游戏能保持小个位数增长就不错了，主要就是运营好常青树游戏，未来游戏增长还得靠海外，未来海外游戏部分增长预期就是10%左右；对于腾讯A I现有业务赋能及A I新产品腾讯A I对现有业务的赋能可以提升毛利率及增加用户粘性，未来的A I新版图还是元宝、微信智能体以及腾讯系列自主A I 智能体产品与生产力工具，虽然当下主要体现为资本开支，但是当用户粘性形成后，未来带来的就是源源不断的广告及token算力收入。最后结合二六年第一季度业绩再更新下腾讯控股的估值：对于腾讯估值，主要采用分部估值法：主业估值+投资板块估值，二九年腾讯控股预计营收9963.6亿，非国际准则下归母净利润率估算为32%，那么腾讯二九年非国际准则下归母净利润3188.3亿，额外剔除股份酬金带来的影响算300亿，那么实际核心经营利润2888.3亿，给予二五市盈率估值，腾讯控股主业合理估值为7.221万亿人民币；投资板块（公允价值法）：截止二六年第一季度腾讯控股目前持有股权价值合计共0.92万亿，再考虑股权变现带来的折扣及安全边际，那么投资板块估值按0.55万亿计算；那么估算腾讯控股29年底合理估值大约7.771万亿人民币，当然这只是个人拍脑袋估算情况下的估值。

Welcome to the June 2026 Bluegrass Briefing, a monthly series of episodes taking a look at what's going on in the world of bluegrass.Here are the links to stuff mentioned in this episode.News and announcements (Church Street News)Craft Recordings Boone Creek reissue (preorder)CDLPDownloadGabe Witcher's Gig Ledger Pro app51st Annual Father's Day Bluegrass FestivalMarcel Ardans' Winfield DocumentaryFly in FestivalOften Herd tour datesScroll on BuddyPunch Brothers play Star WarsOther bitsFull list of interviewsCollings GuitarsHappy picking.Matt Support the show===Thanks to Bryan Sutton for his wonderful theme tune to Bluegrass Jam Along (and to Justin Moses for playing the fiddle!)Bluegrass Jam Along is proud to be sponsored by Collings Guitars and Mandolins and Token premium guitar picks- Sign up to get updates on new episodes - Free fiddle tune chord sheets- Here's a list of all the Bluegrass Jam Along interviews- Follow Bluegrass Jam Along for regular updates:InstagramFacebook- Review us on Apple Podcasts

Kemal Ahmedi von Annerton erklärt, warum sich MiCAR und PSD2 bei E-Geld-Token überschneiden – und was der EBA-No-Action-Letter seit März 2026 verändert hat.

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer unpack the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, they cover Apple‘s uncertain path beyond the iPhone. They also discuss Google‘s agentic pivot at Google I/O, a surge in DuckDuckGo The post SED News: Apple's AI Problem, The Real Business Model of AI, and Token Cost Reckoning appeared first on Software Engineering Daily.

AI can now write code faster than any human alive, and most of the time it's more than good enough. That's the magic powering the entire vibe coding wave. But there's a category of software where "most of the time" just doesn't cut it: the code running a fighter jet, a power grid, an autonomous vehicle, a piece of medical hardware. When that code is wrong, the consequences aren't a bug. They're a recall, an accident, a national security incident.In this episode of Talking AI, Matt Paige sits down with Ryan Aytay, the former CEO of Tableau and now President and COO of CodeMetal, which just raised $125 million to close that gap. Ryan explains what he calls "the last mile" for mission-critical industries: the verification, validation, and provability layer that sits between AI-generated code and the systems where failure is catastrophic.The conversation covers why 99% correct is still failure in defense and autonomous systems, how CodeMetal translated a million lines of legacy C++ to Rust in weeks (like rewiring a city without the power going out), and why the real problem isn't code generation, it's behavioral assurance at scale. Ryan also shares how he's using AI to run a sub-100-person startup, why the biggest risk for any company right now is doing nothing, and what an operator who lived through 19 years of per-seat SaaS at Salesforce thinks about outcomes-based pricing in the age of AI.In this episode, you'll hear about:Why every AI coding tool says "almost, but not quite" when asked about production-ready guarantees. The difference between code generation and behavioral assurance at scale. How CodeMetal translates legacy C++ to Rust with provable correctness in weeks, not years. The concept of V&V (verification and validation) and why it's the missing layer in AI code gen. Real use cases in defense, autonomous vehicles, and simulation environments. Why hardware in the loop matters as much as human in the loop. How a sub-100-person company uses AI across M&A, recruiting, marketing, and operations. Ryan's take on token economics, outcomes-based pricing, and the SaaS evolution. Why the biggest risk is inaction, not AI errors. What attracted Ryan to CodeMetal after 19 years at Salesforce and leading Tableau.Key Moments02:47 — From Tableau fanboy to the trust gap in AI03:52 — Why Ryan left Salesforce/Tableau for CodeMetal05:55 — "Is it safe for the things I depend on every day?"06:45 — 99% correct is still failure for mission-critical systems08:20 — The sycophantic nature of AI: "Heck yeah, I can do that"09:22 — It's not a coding problem, it's a behavioral problem at scale11:22 — Human in the loop isn't enough: hardware in the loop14:30 — What is fuzzing? Formal methods explained in plain English16:02 — How a sub-100-person company leverages AI across every function18:19 — The Shopify mandate: using AI reflexively21:33 — Rewiring the city without the power going out: the million-line translation24:38 — Defense use cases: drones, autonomous vehicles, and simulation26:28 — "Prove is even a stronger word than guarantee"28:32 — Accountability and the coming wave of AI insurance32:54 — Token usage, the Uber CTO's blown budget, and outcomes-based pricing36:26 — SaaS isn't dead, it's evolving: Ryan's Salesforce/Tableau perspective40:08 — The biggest risk is doing nothing42:07 — Where to find CodeMetal (and they're hiring)Key LinksCodeMetalConnect with Ryan on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

Jordi Visser is a veteran macro investor with 30+ years of experience and the author of the VisserLabs Substack. In this conversation, we discuss why bitcoin is down 50% and whether the bear market is over, why he's still buying through the dip, how AI agents will drive bitcoin adoption, and why the rotation from AI hardware to human software is the biggest investment opportunity right now.=======================Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan, allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime (https://figuremarkets.co/pomp) and earn ~9% APY on real world assets, paid hourly. Unlock your crypto's potential today at Figure! https://figuremarkets.co/pomp Figure Lending LLC dba Figure (NMLS 1717824). Loans subject to approval. Crypto collateral may be liquidated. Terms apply - see full disclosures at figure.com/disclosures/=======================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.=======================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/pomp=======================0:00 - Intro0:45 - Why bitcoin is down 50% & is the bear market over?6:48 - What would convince Jordi to sell his bitcoin?9:07 - Bitcoin as the S&P 500 of crypto14:02 - Why bitcoin is safer than any company past 203017:45 - Bitcoin volatility vs. the stock market22:22 - The five-layer AI stack & where revenues are missing26:22 - Token budgets & the shift to specialized AI35:10 - Are LLMs now commoditized?40:30 - Peptides as the API key for the human body49:24 - Healthcare, entitlements & the future outlook

Jacob Lauritzen serves as the CTO at Legora, the fastest growing B2B enterprise company in history; hitting $100 million in ARR in just 18 months . Legora boasts a valuation of $5.6BN and has raised a total of $866 million in funding. Legora's investors include the likes of Accel, Benchmark, and Bessemer Venture Partners, alongside strategic tech giants NVIDIA (NVentures) and Salesforce Ventures. AGENDA:  05:01 - How to Hire the Best Product Talent in 2026 06:21 - The New Product Bottleneck: Shifting Beyond Code Creation 09:24 - System Design vs. Code Creation: The Future Role of the Engineer 14:04 - The Evolving Software Development Lifecycle & The Death of the Design Phase 22:23 - Will Product and Engineering Fully Converge? 29:16 - Scalability and UX: Designing for 10x vs. 100x Spikes 38:15 - Scaling the Organization: What Breaks with a 250 Person Product Team 47:05 - Quick-Fire Round: Hyper-Growth Tactics & Out-Working the Giants  

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/Are AI jobs disappearing faster than they're being created—or are we asking the wrong question?For months, AI leaders warned of massive job losses. Now, some of the same voices are changing their tune. But while Sam Altman and Dario Amodei are sounding more optimistic, tech layoffs continue to climb, AI anxiety is spreading across the workforce, and business leaders are facing a difficult question: what's actually happening beneath the headlines? In this week's AI News episode, Isar Matis breaks down the conflicting signals shaping the future of work and explains why the next few years may be far more turbulent than many expect. He also explores a major shift in the AI race: why model intelligence is no longer the primary battleground, and why speed, cost, accessibility, and business value are becoming the metrics that matter most. If you're a business leader trying to understand where AI is headed—and what it means for your workforce, strategy, and competitive advantage—this episode provides a practical framework for separating hype from reality.In this session, you'll discover: Why Sam Altman says he may have been wrong about the pace of AI-driven job disruption.  The Jevons Paradox and how increased AI productivity could create new demand.  The reality behind recent tech layoffs and whether AI is truly responsible.  Why employee anxiety around AI may matter more than the statistics themselves.  The growing gap between jobs being eliminated and new AI-related roles being created.  Why reskilling workers may be harder than most organizations expect.  How the AI race is shifting from model quality to business value.  Why open-source models are rapidly closing the gap with frontier AI systems.  The hidden cost explosion companies are experiencing with AI tokens and agents.  What Microsoft's latest Build announcements reveal about the future of enterprise AI.  Why robots cleaning homes may be an early sign of AI's impact on blue-collar work. About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

✅ New autonomous agents. ✅ Canva designs made for you. ✅ Codex upgrades to make your business move. If you had your head down in spreadsheets this week, you missed some MAJOR AI upgrades that are available now. We track what's hot and what's not and break it all down on Fridays with our Friday Features. Autonomous Copilot agents, new Codex tools, Github CoPilot app and 7 more AI updates you should be using — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Codex Role-Specific Plugins LaunchMicrosoft Build Conference AI Feature ReleasesChatGPT Memory and Business Account UpgradesMicrosoft Flash Image Model for PowerPointCanva Integrated with ChatGPT and CodexGitHub Copilot Standalone Desktop App PreviewMicrosoft Autopilot Always-On Work AgentsOpenAI Models Now Available on AWS BedrockCodex Sites: AI-Built Internal Web AppsTimestamps:00:00 OpenAI's big money moves03:47 Explaining role-specific plugins09:02 Microsoft's new image model release11:09 Microsoft's AI strategy and Canva update14:23 Canva integration with ChatGPT16:56 GitHub Copilot's new canvas feature20:46 AI token subscription changes24:42 AWS adds OpenAI models to Bedrock28:25 Introducing OpenAI's CodeX Sites Feature32:07 Launch of OpenAI's New Plug-in34:16 Overview of podcast structureKeywords: Autonomous copilot agents, Codex tools, GitHub Copilot app, OpenAI Codex, ChatGPT business accounts, OpenAI enterprise, Microsoft Build conference, Microsoft always-on agents, AWS AI updates, Canva plugin, ChatGPT memory upgrade, Windows Codex integration, Microsoft Flash model, Enterprise apps integration, Role-specific plugins, Sales data analytics, Product design AI, Creative production AI, Investment banking plugin, Public equity investing, Data analytics plugin, Workspace admins, App permissions, Role-aware work agent, Financial research automation, Microsoft image generation model, PowerPoint AI integration, OneDrive AI features, Visual design creation, Canva app for ChatGPT, Canva MCP server, Agentic context carry, Full screen design preview, GitHub Copilot desktop app, GitHub Copilot Canvas, Agent-native command center, Parallel agent work tree, Code app interface, Model options in GitHub, Token usage limits, Subscription token subsidizing, Anthropic token efficiency, Amazon Bedrock, GPT-4, GPT-4.5, Small language models, Token reckoning, Security governance, Inference engine, Code app sidebar, Codex Sites, Internal dashboards, Project trackers, Interactive web apps, Shareable AI apps, Enterprise data connectors, ChatGPT Canvas, Automated workflow, Workplace authentication, Creative briefs repository.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Reid sits down with Microsoft CEO Satya Nadella fresh off Microsoft Build 2026. The conversation goes wide: how AI is reshaping work, business, and society—and why the transformation sweeping through software development today is only a preview of what's coming for all knowledge work. Satya makes the case that human capital and "token capital" are now deeply intertwined, that companies—not just countries—must build their own AI capabilities, and that the organizations best positioned to thrive are those that can leverage their unique expertise inside intelligent systems. Reid and Satya also explore Microsoft's enterprise AI vision, Reid's work with Manas on AI-powered scientific discovery, lessons from past technological revolutions, and why demonstrating real, tangible benefits may be the most important thing the industry can do to earn—and keep—the public's trust. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcasts/satya/

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As AI usage explodes inside companies, token efficiency is becoming a core business problem. NLW looks at why cost, routing, context, local inference, model selection, and “dollars per outcome” are quickly replacing raw intelligence as the metric that matters most for enterprise AI.Sign up for AI Executive Catchup: ⁠https://aiexecutivecatchup.com/⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠Bolt - Claim a free month of Bolt Pro - https://bolt.new/partner/aidb/Outsystems - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

AGENDA: 00:00:00 — Private Markets Are "F***ing Done" & The Shift to Heavy CapEx 00:00:46 — Anthropic Files to Go Public  00:04:59 — Will the Anthropic IPO Break the Startup Ecosystem? 00:06:22 — The "Billion-Dollar Position" Era: VCs Reset Their Expectations 00:18:11 — The Trillion-Dollar Cash Grab: Google, SpaceX, and OpenAI Rush the Queue 00:23:15 — Is the SaaS Apocalypse Over? Bouncing Off the Bottom 00:25:34 — The Death of Human Per-Seat Licenses as Multiples Shift 00:27:18 — Winners vs. Losers: How Agentic Focused Products Captured the Market 00:30:26 — Cognition Raises $1 Billion at a $26 Billion Valuation 00:33:04 — Token Budgeting Panic Hits Corporate America 00:35:46 — Multi-Model Workflows and the Future of Cost Containment 00:41:20 — Choosing Tokens Over Humans: The 2027 Engineering Reality Check 00:46:42 — Can Large Companies Survive Slashing One-Third of Their Engineering Talent? 00:57:40 — Big Law Flex: Kirkland & Ellis Pledges $500 Million to Build In-House AI 01:01:21 — Giving Away the Crown Jewels: Will Firms Trust Claude? 01:08:44 — Robinhood's AI Move: Automating Financial Planning vs. Beating the Market 01:16:15 — Apollo Warns PE Software Returns Are About to Be Disastrous 01:19:15 — $10 Billion Carry Pools: Will VC Winners Quit the Game? 01:24:10 — The 9-9-6 Work Ethic: Performative Theatre or Startup Reality? 01:30:10 — The Great Valley Contradiction: Working 24/7 to Automate White-Collar Work  

No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. 

My guests on the podcast this week have an astonishing 24 Grammy awards between them and they represent two musical world I love - the first is bluegrass and string band music and the second is opera.Renée Fleming and Béla Fleck join me to chat about their wonderful new collaboration The Fiddle and the Drum, a project which explores Renée's long-held love of American folk and Appalachian music. The album includes guest appearances from several musicians from in and around the string band world, including Dolly Parton, Vince Gill, Jerry Douglas, Aoife O'Donovan, Sierra Hull and Sarah Jarosz.We chat about the role folk music played in Renée's upbringing, the similarities and differences between roots music and the classical world, how the record came together, why folk songs are so powerful and what it means to be an eclectic artist over the course of a long career (plus much more).This was a wonderful conversation to get to be part of. Thanks to Renée and Béla for taking the time to chat and particular thanks to Collin Citron for helping make this happen.You can find out more about the project and order copies of the record at reneefleming.com, along with info on live dates for The Fiddle and the Drum and the project Renée mentions, Music and the Mind You'll find info on Béla at www.belafleck.com, including BEATrio and the collaborations with Toumani Diabaté, Zakir Hussain and Chick Corea mentioned in the episode. Support the show===Thanks to Bryan Sutton for his wonderful theme tune to Bluegrass Jam Along (and to Justin Moses for playing the fiddle!)Bluegrass Jam Along is proud to be sponsored by Collings Guitars and Mandolins and Token premium guitar picks- Sign up to get updates on new episodes - Free fiddle tune chord sheets- Here's a list of all the Bluegrass Jam Along interviews- Follow Bluegrass Jam Along for regular updates:InstagramFacebook- Review us on Apple Podcasts

EPISODE DESCRIPTIONI sat down with Harvey Liu, co-founder of LeveX Exchange, to dig into what it really takes to build a crypto trading platform from the ground up. Harvey's journey is fascinating , from studying computer science in China, to getting his MBA at INSEAD, to becoming an early Bitcoin investor when BTC was around $100, to backing the founders of Huobi and OKCoin as a VC, and now building his own exchange in Singapore. We talk about why he designed LeveX around social trading, how features like multi-trade and KOL-driven tournaments set them apart from Binance and OKX, and the honest truth about what works and what doesn't in crypto marketing. Harvey also shares what he looks for as a VC when evaluating Web3 startups in a bear market , and why founders with failure experience often outlast the ones who only know wins. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/CONNECTLeveX Exchange: https://www.levex.comLeveX Twitter/X: https://x.com/levex Web3 with Sam Kamani: https://www.web3pod.xyzKEY POINTS WITH TIMESTAMPS• [00:01] Sam introduces Harvey Liu, co-founder of LeveX Exchange, and outlines the episode topics: building an exchange, growth, and VC lessons• [01:25] Harvey shares his background , computer science in China, five years at a Canadian internet company, MBA at INSEAD, then back to China for VC• [03:13] Harvey's first exposure to Bitcoin in 2013 as a VC, meeting the founders of Huobi and OKCoin, and buying BTC at around $100• [04:38] Moving to Singapore during COVID, joining a Singapore VC firm, and spotting the gap in social features on major trading platforms• [06:42] The founding idea behind LeveX: a platform built by traders, for traders, with a social layer that bigger exchanges lacked• [08:38] Who LeveX was designed for , seasoned traders, KOLs, and retail , and how user feedback shaped the product• [11:05] Gamification on the platform: quests, bonus milestones, KOL-run tournaments, and exclusive content areas for followers• [13:39] Current stats: over 400,000 registered users, focus on improving UX before aggressive marketing, and plans for Token 2049 Singapore• [15:35] User geography , mostly Europe and Asia, with Sam highlighting Southeast Asia (Philippines, Vietnam, Indonesia) as a massive growth opportunity• [18:35] Harvey's VC framework for evaluating Web3 startups in a bear market: team track record including failures, revenue traction, real utility, and exit strategy• [22:49] The biggest challenge building LeveX: rebuilding trust post-FTX, and how proof of reserves, bug bounties, and penetration testing address that• [26:06] Growth experiments , what worked (deep KOL partnerships) and what didn't (expensive Google and Meta paid ads with low conversion)• [30:13] LeveX's standout feature: multi-trade, which lets traders open multiple simultaneous positions on the same trading pair at different prices, directions, and leverage levels• [33:12] Vision for the next two to three years: reach top 20 global trading platform, expand into prediction markets and AI tools, and time the next bull run right• [34:51] Harvey's ask: strategic marketing and branding partners to help with the next bull run, and an open invitation for listeners to try the platform

More tokens = more ROI, right?

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Brendan Foody is the Founder and CEO @ Mercor, one of the leading data providers to the largest labs on the planet including OpenAI. In the last two years, Brendan has scaled the company to $1.5BN in ARR and a valuation of $10BN.  AGENDA:  True or False: Mercor lost Meta and OpenAI as a customer with the hack? Mercor has been poaching competitor talent, paying them millions?  Mercor revenue is not real revenue and is only GMV? 12:56 Would Brendan sell Mercor for $30 billion?  14:23 Why everyone is wrong that AI will lead to labor displacement? 15:59 We will create many new jobs that do not exist with AI.  16:59 Why training agents will be a massive labor category that does not exist today  19:51 Will we see the data provider market unbundle and specialize into verticals?  22:24 Is the stated revenue really revenue or is it really GMV?  27:55 How a 1 million ARR company secured one of the best investors in the world with a helicopter ride  29:41 How Felicis secured the deal of the decade with a race track and a set of Ferraris  32:59 Which investment round felt like the highest price to grow into?  34:49 Why will value accrue to the infrastructure layer, not the application layer, in the next 12 months?  35:46 Why the model is the product and why application layer companies should be scared as a result  37:22 Why network effects will be the determinant of value creation  38:46 Why the forward-deployed motion, not the GTM motion, will determine true value creation.  41:59 Why token spend within organizations is going to continue to increase  43:54 Why agent evaluation to commoditize the model layer will be a massive business for enterprises?  51:13 Why we should have increased capital gains tax  01:01:31 How to compete with $20 million a year from Meta?  01:08:49 Will Mercor go public and when?  

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NLW breaks down the fast-rising debate over whether AI tokens should be taxed, from proposals by Elizabeth Warren, Mark Cuban, and Dario Amodei to the deeper question underneath it all: what happens to the tax base if more productive work shifts from humans to agents? The episode steelmans the case for taxing AI usage as productive capacity, then digs into the strongest objections, including why tokens may be a bad proxy for value and why a broad tax could punish the experimentation needed to discover AI's biggest opportunities.Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠kpmg.com/us/Sophisticated⁠Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai