Podcasts about Token

Was braucht es, um einen Menschen im Internet zweifelsfrei zu erkennen? Darauf gibt es mehr Antworten, als vielen Nutzern lieb ist. In Episode 168 der Auslegungssache beschäftigen sich c't-Justiziar Joerg Heidrich und seine Gäste mit den Möglichkeiten der Identifikation von Nutzern im Internet. Dafür hat Heidrich sich zwei c't-Kollegen eingeladen: Jo Bager, Informatiker und seit fast 30 Jahren in der Redaktion, sowie Sylvester Tremmel, Co-Host des heise-Security-Podcasts „Passwort“ (https://www.heise.de/thema/Passwort_Podcast). Zum Einstieg gibt es wie immer das Bußgeld der Woche: Die niederländische Aufsicht AP (https://www.autoriteitpersoonsgegevens.nl/en/current/uber-fined-nearly-825-million-euros-for-automated-driver-blocking) hat gegen Uber knapp 825 Millionen Euro (https://www.heise.de/news/Uber-825-Millionen-Euro-Strafe-fuer-zu-schnelles-Entscheiden-11422747.html) verhängt, weil der Fahrdienstvermittler Fahrerkonten jahrelang vollautomatisch sperrte, ohne dass dies durch einen Menschen überprüft wurde. Uber wehrt sich gegen diese Entscheidung, die eines der höchsten bislang in Europa verhängten Bußgelder darstellt. Hauptthema des Podcast ist die Frage, wie Nutzer im Netz erkennbar sind. Rechtlich beginnt dabei alles beim Personenbezug. Nach der DSGVO genügt es, dass eine Person mittelbar identifizierbar ist, etwa über eine Online-Kennung. Klassischer Anknüpfungspunkt ist die IP-Adresse, seit einem Urteil des EuGH (https://www.heise.de/newsticker/meldung/BGH-bestaetigt-Dynamische-IP-Adressen-sind-personenbezogene-Daten-3714967.html) auch für Websitebetreiber ein personenbezogenes Datum. Ihre Aussagekraft und damit auch die Identifizierbarkeit sinkt allerdings durch die Nutzung von NAT, Mobilfunk und VPNs. Im Tracking-Alltag, insbesondere im Rahmen von Werbung, spielen dagegen Cookies, Werbe-IDs und vor allem Logins die Hauptrolle. Accountkennungen, Single-Sign-on-Token oder gehashte E-Mail-Adressen verketten Geräte zuverlässiger als probabilistische Verfahren, wobei Hashing die Daten lediglich pseudonymisiert. Das Setzen und Auslesen solcher Kennungen im Endgerät ist nach § 25 TDDDG (https://www.gesetze-im-internet.de/ttdsg/__25.html) grundsätzlich einwilligungsbedürftig. Ganz ohne explizite Kennung kommt das Browser- und Device-Fingerprinting aus. Es kombiniert User-Agent, Sprache, Auflösung, Zeitzone, Schriften, Renderingunterschiede bei Canvas, WebGL oder Audio und viele weitere Aspekte zu einem oft bemerkenswert eindeutigen Profil. Wie weit das geht, zeigt AliExpress (https://www.heise.de/news/AliExpress-trackt-Nutzer-via-unhoerbarem-Audio-Fingerprinting-11424127.html): Der Shop erzeugte über die Web Audio API ein unhörbares Signal und vermaß, wie Prozessor, Treiber und Browser es verarbeiten. Aufgefallen ist das nur, weil bei einem Entwickler die Bluetooth-Kopfhörer nicht mehr umschalteten, solange ein AliExpress-Tab offen war. Auch solches passives Auslesen fällt laut den europäischen Datenschutzbehörden (https://www.edpb.europa.eu/system/files/documents/2024-10/edpb_guidelines_202302_technical_scope_art_53_eprivacydirective_v2_en_0.pdf) unter die DSGVO und ist einwilligungsbedürftig. Dass Fingerprinting boomt, liegt auch an Google (https://www.heise.de/news/Google-Device-Fingerprinting-ist-okay-10233355.html), das die Technik seit Anfang 2025 für Werbekunden erlaubt und zugleich Werbeblocker beschneidet (https://www.heise.de/news/uBlock-Origin-Die-Abschaltung-von-Manifest-V2-hat-begonnen-9985221.html). Schutz – mit variierender Effektivität – bieten Browser wie Firefox, Safari und Brave, die Gerätemerkmale vereinheitlichen oder verrauschen, sowie Filter im Heimnetz wie Pi-hole (https://www.heise.de/ratgeber/Adblocker-fuers-Netz-Starthilfe-und-Tipps-zu-Pi-hole-und-AdGuard-Hom

My guest this week is Julian Lage and we're talking about his extraordinary solo guitar album 'World's Fair'.Julian will be known to many of you as a jazz player but is also widely known in the bluegrass and string band world through his wonderful duet records with Chris Eldridge of Punch Brothers and Mighty Poplar. In fact, Julian's first recording was an acoustic duet with David Grisman as part of the 'Dawg Duos' album.Julian talks about the challenges and opportunities of playing solo, how he approached making this particular record, why he threw away his first attempt and what he learned about his own playing from making 'World's Fair'.We also discuss the role acoustic music has played in his career, why being able to interpret song and tunes is so important and how playing music socially in New York with singer songwriters gave him the seed for what turned into 'World's Fair'.This was a fascinating conversation about a superb album, but also about some of the deeper questions about what it means to make music, both alone and with others.You can buy the 10th anniversary vinyl and CD reissues of 'World's Fair' and the accompanying songbook via Julian's store.Follow Julian on Instagram for regular updates and news. 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

Ted returns from New Zealand to join Pav for a crucial breakdown of regulatory milestones and macro developments shaping digital asset markets. In this episode, Pav and Ted dissect the collapse of Hunter Biden's celebrity meme token, which plummeted 99% within an hour of launch. They unpack top weekly movers, focusing on Betway (BTW) and its yield-generating DeFi strategies backed by Tron Foundation, VVV's AI inference model, and PancakeSwap's surging $75M daily volume in tokenised stock trading. The boys also dive deep into the US Senate floor vote on the long-awaited Clarity Act, updates regarding the proposed US Strategic Bitcoin Reserve, and upcoming rate hike decisions across the US, Japan, and Australia. Key Moments: 00:00 Ted's Queenstown highlights and Waiheke Island wineries. 01:30 Hunter Biden $Laptop Token Collapse: Analyzing fully diluted valuations and celebrity token risks. 06:01 Institutional yield strategies, Tron backing, and decentralized AI inference. 10:05 Real-world assets (RWAs) and processing $75M in daily volume. 12:37 Clarity Act Senate Vote: Final draft revisions, bipartisan hurdles, and Polymarket sentiment shifts. 21:40  Central bank updates from the US, Japan, and Australia. 26:43 Treasury Secretary Scott Bessent's push for government BTC holdings. Want to see what we're looking at every episode? Watch the YouTube version of the podcast here. Ready to start? Get $10 of FREE Bitcoin on Swyftx when you sign up and verify:  https://trade.swyftx.com.au/register/?promoRef=tappingintocrypto10btc  To get the latest updates, hit subscribe and follow us over on the gram @tappingintocrypto or X @tappingintocrypto If you can't wait to learn more, check out these blogs from our friends over at Swyftx. This podcast provides general market commentary and is for educational and entertainment purposes only. It is NOT financial advice. We are NOT licensed financial advisors. Investing in cryptocurrency carries risk. You should always conduct your own research and seek independent financial advice before making any investment decisions. Please read Swyftx's Terms and Conditions and Risk Disclosure statement before investing.

Reality Fracture steht vor der Tür und natürlich gibt es auch im neuen Magic: The Gathering Set wieder neue Mechaniken zu entdecken. In dieser Folge schaue ich mir die zwei komplett neuen Mechaniken von Reality Fracture genauer an und erkläre, wie sie funktionieren und was sie für das Gameplay bedeuten.Im Mittelpunkt stehen Empower Jace und die neuen Heartwood Tokens. Empower Jace bringt eine ziemlich ungewöhnliche Idee ins Spiel: Statt eine Kreatur oder einen klassischen Token aufzubauen, wird ein Jace-Planeswalker-Token erzeugt und mit Loyalitätsmarken verstärkt. Die zweite Neuerung sind die Heartwood Tokens, spezielle Artefakt-Tokens, die zusätzliches Mana liefern und damit ganz neue Möglichkeiten für Ramp und Artefakt-Synergien eröffnen.Da Reality Fracture nur zwei wirklich neue Mechaniken mitbringt, ist diese Folge etwas kürzer als meine üblichen Mechanik-Folgen. Dafür gehe ich die beiden Mechaniken kompakt und verständlich durch und schaue darauf, welche interessanten Design-Ideen dahinterstecken und wo sie im Spiel relevant werden könnten.Wenn du also wissen möchtest, wie Empower Jace funktioniert, was Heartwood Tokens machen und welche neuen Gameplay-Möglichkeiten Reality Fracture mitbringt, bist du hier genau richtig.

"What is Money?" is the rabbit that leads us down the proverbial rabbit hole. It is the most important question for finding truth in the world. In this series, we will pursue this "rabbit" by engaging in a diversity of deep conversations with deep thinkers from different walks of life. Episode 16 features Richard Dawkins, Mel Mattison, John Vervaeke, Peter Crone, Obi Nwosu, Mitchell Askew, Monika Bravo, Tom Bilyeu, Christos Palios, Aneesh Karve, and Devon Eriksen.The 'What is Money?' series: https://www.youtube.com/playlist?list=PL2jAZ0x9H0bQK3QrEDDfxj8_-fFNvL4j4 // SPONSORS //Blockware Solutions: https://mining.blockwaresolutions.com/breedloveMind Lab Pro: https://mindlabpro.com/products/mind-lab-pro/breedlove// PRODUCTS I ENDORSE //Protect your mobile phone from SIM swap attacks: https://www.efani.com/breedloveLineage Provisions (use discount code BREEDLOVE): https://lineageprovisions.com/?ref=breedlove_22// UNLOCK THE WISDOM OF THE WORLD'S BEST NON-FICTION BOOKS //https://course.breedlove.io/// JOIN THE COMMUNITY //Telegram: https://t.me/TheWiMCommunity// TIMESTAMPS //00:00 – Intro 00:01:06 – Money is Psychological - Mel Mattison (WiM474) 00:05:44 – Money as a Metaphorical Tool - John Vervaeke (WiM473) 00:13:44 – Money is a Conversation - Peter Crone (WiM480) 00:16:04 - Mine Bitcoin with Blockware Solutions 00:17:28 – Inverse Use Case of Money - Obi Nwosu (WiM519) 00:28:40 – Money is a Tool for Scaling Human Rationality - Robert Breedlove (WiM486) 00:37:02 – Money is a Tool that The Free Market Chooses - Mitchell Askew (WiM511) 00:40:33 – Money is Freedom - Monika Bravo (WiM513) 00:41:33 - Mind Lab Pro 00:42:40 – Money is a Tool for Measuring Utility - Tom Bilyeu (WiM483) 00:46:39 – Money as a Token of Barter - Richard Dawkins (WiM476) 00:49:38 – Money as an Embodiment of Subjective and Objective Value - Christos Palios (WiM484) 00:53:54 – Money is the Ultimate Abstraction - Aneesh Karve (WiM520) 00:59:49 – Money is a Language / Money is a Measure of F** Given - Devon Eriksen (WiM510) 01:11:43 – Unlock the Wisdom of the Best Non-Fiction Books// PODCAST //Podcast Website: https://whatismoneypodcast.com/Apple Podcast: https://podcasts.apple.com/us/podcast/the-what-is-money-show/id1541404400Spotify: https://open.spotify.com/show/25LPvm8EewBGyfQQ1abIsERSS Feed: https://feeds.simplecast.com/MLdpYXYI// SUPPORT THIS CHANNEL //Bitcoin: 3D1gfxKZKMtfWaD1bkwiR6JsDzu6e9bZQ7Sats via Strike: https://strike.me/breedlove22Paypal: https://www.paypal.com/paypalme/RBreedloveVenmo: https://account.venmo.com/u/Robert-Breedlove-2// SOCIAL //Breedlove X: https://x.com/Breedlove22WiM? X: https://x.com/WhatisMoneyShowLinkedin: https://www.linkedin.com/in/breedlove22/Instagram: https://www.instagram.com/breedlove_22/TikTok: https://www.tiktok.com/@breedlove22Substack: https://breedlove22.substack.com/All My Current Work: https://linktr.ee/robertbreedlove

How can businesses turn growing investment in AI infrastructure, cloud capacity and devices into outcomes that employees, customers and finance teams can actually measure? In this episode of Tech Talks Daily, I speak with Neil Sawyer, who manages HP's business across Europe, the Middle East and Africa. Neil works with companies across one of HP's largest global regions as they move from AI experimentation into wider deployment, making him well placed to discuss what happens when early enthusiasm encounters cost, security, governance and the realities of the workforce. We begin with the gap between building AI capacity and applying it to a business problem. Data centers, models and powerful devices provide options, but the investment only becomes useful when a company identifies the workflow it wants to improve. Neil argues that leaders should begin with the outcome, understand where AI can remove friction and decide how they will measure productivity, employee experience and business performance before buying another layer of technology. That raises a difficult question about productivity. If AI helps someone complete a task faster, does the organization use that saved time to improve the work, develop new ideas and give employees room to think, or does it simply add another task to the queue? I share my own experience as a business of one, where every efficiency gain has a habit of becoming extra output rather than a Wednesday afternoon at the cinema. Neil compares the current moment with earlier periods of industrial change and makes the case that automation should release people from repetitive administration so they can contribute creativity, judgment and higher value work. We also discuss why AI costs are becoming a boardroom issue. Token based services and agentic systems can produce growing and unpredictable bills as adoption spreads across a company. Neil explains why every workload does not need the same model or environment. Large language queries may benefit from cloud capacity, while sensitive data, company specific information and some recurring tasks may be better suited to local or on device processing. The decision affects cost, responsiveness, privacy, security, data sovereignty and environmental impact. Neil describes HP's view of hybrid AI, including devices with neural processing units and Z by HP Boost, which can connect available workstation GPU resources. He also explains why device refresh decisions should reflect workforce personas. A data scientist, account manager and office administrator may work for the same company, yet their computing needs can be very different. Mapping technology to the employee's role can help a business spend with greater discipline while giving people the performance they need. The conversation also covers governance and measurement. Informal use of public AI services can be difficult to see, assess or manage. Neil recommends giving employees an approved AI toolkit, using enterprise services that provide telemetry and examining how technology availability and performance affect the employee experience. Adoption figures can show that a tool is being used, but they do not prove that it is improving an outcome. We finish with a practical checklist for leaders. Define the outcome, identify the workflow, determine where each workload should run, calculate the cost, agree the measures of success and put clear controls around data, privacy and cybersecurity. That approach gives cloud and device based AI distinct jobs within the same business strategy. How is your organization deciding which AI workloads belong in the cloud, which should run closer to the employee, and whether the investment is producing measurable value? Share your thoughts with me.

Today's guest is Dennis Pilarinos, who is the founder and CEO of Unblocked and a long-time developer tools expert, having founded BodyBuild and having served as a director at Apple, Amazon and Microsoft. With Dennis, we talked about the latest trends in software development. We discussed why more tokens are not translating into more productivity, how to guarantee code quality with AI and what's the role of context in making your agents succeed. And we also explored how the Unblocked team is doing it, navigating their setup and a few use cases about how their shipping features in production.(00:00) Episode start(03:50) Introducing Dennis Pilarinos(04:40) Token spend is exploding(09:03) Measuring developer productivity is still unsolved(12:31) Code review is the new bottleneck(18:01) Code quality depends on context, not skill alone(21:07) The content curation trap: why markdown files go stale(26:40) What sources to plug into your context engine(33:47) How the Unblocked team ships: risk assessment and auto-merge(43:29) Releasing faster: skip design partners, ship to everyone(49:20) Remote agents and the future of context-powered coding-Today's episode is brought to you by Notion.Learn more about Notion's Developer Platform today at https://ntn.so/refactoring-You can also find this at:•

Paul Lee, co-founder and CEO of Patlytics, joins Greg Lambert to explain how an AI platform built specifically for intellectual property work is changing the patent lifecycle. Patlytics supports workflows spanning patent drafting, prior art analysis, office action responses, portfolio management, litigation readiness, and claim-chart preparation. Lee reports that the company now works with roughly 55 percent of the Am Law 100 and hundreds of corporations across technology, biotechnology, pharmaceuticals, and other patent-intensive industries.Lee traces Patlytics' origins to his experience as a venture capitalist and more than 100 conversations with patent attorneys. Those interviews exposed a practice filled with expensive, labor-intensive processes, from drafting detailed patent specifications to constructing claim charts for litigation. His interest also grew from the Apple and Samsung patent battles, the IP expenses faced by venture-backed companies, and conversations with Patlytics co-founder Arthur Jen and former Latham & Watkins patent litigator Bob Steinberg.The conversation turns to Patlytics' work involving USPTO patent examiners and the broader effect of placing AI on both sides of the examination process. While confidentiality limits the details Lee discusses, he identifies quality and the examination backlog as two areas where specialized technology offers meaningful assistance. He also contrasts Patlytics with broad legal AI platforms such as Harvey and Legora, arguing that patent professionals need tools designed for the precision, technical detail, and specialized workflows of IP practice.Human judgment stays central to Lee's vision. Patent attorneys still own the work product, approve key decisions, and remain responsible when an AI-generated analysis falls short. At the same time, client expectations continue to rise. Clients want faster work, higher quality, and lower costs, while law firms need sustainable margins. Lee sees flat-fee arrangements and more predictable workflows as one route toward sharing the “AI dividend” between clients and their outside counsel. In-house teams also gain more capacity for infringement analysis, patent-portfolio reviews during M&A, cross-licensing strategy, and litigation preparation.Looking ahead, Lee describes a striking change in attitude among patent professionals, from widespread skepticism a year ago to broad optimism today. His crystal-ball concern is less about whether lawyers will adopt AI and more about whether its economics will hold together. As free experimentation gives way to consumption-based pricing, firms will need to measure the value of each workflow and avoid spending $50,000 in AI costs on a $5,000 matter. Token maxing had its moment. ROI gets the next meeting invitation.Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠Substack⁠[Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ for their sponsoring this episode.]Email: geekinreviewpodcast@gmail.comMusic: Jerry David DeCicca Transcript

"On est revenu au mode où le coût du mot va coûter très cher et de plus en plus cher,." Le D.E.V. de la semaine est Patrick Szymkowiak, fondateur de RTK. Il revient sur la genèse fulgurante de Rust Token Killer, un projet open source passé en quelques mois de l'expérimentation à des dizaines de milliers de stars sur GitHub. On creuse l'enjeu grandissant du coût des tokens et la nécessité d'optimiser l'usage des LLM, notamment pour garantir l'accessibilité et la sécurité des outils IA dans l'entreprise. Patrick partage aussi sa vision : demain, devs et non-devs utiliseront ces briques pour transformer leurs métiers, à condition de garder la main sur l'infrastructure. Et il souligne la dimension communautaire, clé du succès et de l'évolutivité de RTK.Chapitrages00:00:54 : Le coût des mots00:01:53 : Naissance de RTK00:03:22 : L'étincelle du token00:06:52 : Déterminisme et benchmarks00:10:13 : Pourquoi ça cartonne00:14:38 : Au-delà de Cloud Code00:18:45 : Pourquoi Rust00:21:06 : Mieux comprimer le contexte00:24:39 : Mesurer la compréhension00:26:57 : Résumer sans perdre le sens00:29:00 : La marée des PR00:35:01 : La guerre du token00:38:44 : L'avenir de RTK00:43:18 : Le token comme KPI ?00:46:28 : Les rituels de fin Liens évoqués pendant l'émission 1984 de Georges Orwell

Aujourd'hui, disséquons coup de tonnerre advenu dans l'écosystème de l'intelligence artificielle il y a quelques jours. Le géant américain des paiements Stripe vient d'offrir sept milliards et demi de dollars pour racheter la jeune pousse OpenRouter. C'est une acquisition spectaculaire qui marque un tournant stratégique majeur pour toutes les entreprises engagées dans la transformation numérique. Un guichet unique donnant accès à plus de 400 modèles issus de 77 fournisseursD'abord il faut bien comprendre que le routage dynamique s'impose désormais comme la pierre angulaire du FinOps de l'IA.Jusqu'ici, connecter vos applications d'entreprise à plusieurs modèles de langage relevait du véritable parcours du combattant. Il fallait intégrer séparément chaque fournisseur, d'OpenAI à Anthropic, et gérer des coûts particulièrement opaques.OpenRouter résout cette équation en devenant un guichet unique donnant accès à plus de 400 modèles issus de 77 fournisseurs à date.Concrètement, vos équipes de développement n'ont donc plus besoin de solliciter le modèle le plus puissant et le plus cher pour répondre à une requête basique. La plateforme arbitre automatiquement en temps réel selon la latence, le tarif et la qualité requise.Pour la DSI, c'est l'outil idéal pour optimiser enfin la facture de calcul.Le token, véritable monnaie de l'économie B2BLe second point concerne le token, c'est à dire la plus petite unité utilisée pour calculer la production de l'IA générative.Ce rachat montre que le monde de la finance et des paiements en ligne, ici Stripe, voit dans les tokens désormais une véritable monnaie de l'économie B2B.Stripe en effet ne veut plus seulement régner sur les cartes bancaires ou les abonnements SaaS.Car les jetons, c'est l'autre nom des tokens, constituent aujourd'hui la monnaie de l'IA.En combinant la plateforme d'OpenRouter avec sa solution Token Billing, Stripe veut mesurer au token près la consommation des utilisateurs et ajuster la facturation en direct.La guerre de la couche d'orchestration face aux géants du cloudEnfin, troisième pilier, la guerre de la couche d'orchestration face aux géants du cloud.Avec 10000 milliards de tokens traités chaque jour et un volume d'inférence multiplié par dix tous les ans, OpenRouter s'était imposé comme un véritable carrefour de la pile technologique de l'IA.En mettant la main au portefeuille pour OpenRouteur, Stripe prend de vitesse les hyperscalers et assoit une position de tiers de confiance sur le marché de la mesure du token d'IA.Pour les DSI, cela signifie que l'agilité en matière d'IA ne repose plus sur le choix d'un modèle unique, mais bien sur la capacité à piloter un écosystème multi-modèles et optimisé.Le ZD Tech est sur toutes les plateformes de podcast ! Abonnez-vous !Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

The price of ETH touched $2,600 this morning, a price last seen in January. Robinhood CEO Vlad Tenev outlines a framework for stock token issuer consent and secondary market property rights. The Ethereum Foundation introduces the Devcon 8 Creator Fellowship. And Anon Wallet launches on mobile. Read more: https://ethdaily.io/tenev-on-stock-token-issuer-consent Disclaimer: Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.  

被Stripe斥资70~80亿美元收购的OpenRouter是一个由来自Web3的团队创建的重要的AI基础设施。我们曾经在E78期节目讨论过这家公司的来时路。 本期节目试着转换一个不同于传统AI基础设施分析的视角：如果不把OpenRouter看成一个API聚合器，而是把它看成一个正在形成中的AI推理开放市场，会看到什么不同的东西？ 本期嘉宾Danning长期从事链上数据、DEX（去中心化交易所）、MEV（链上最大可获取价值）和市场结构研究，她从Web3世界的交易流、做市、路由、竞价和金融市场博弈经验出发，重新拆解了从GPU、算力、推理服务到Token的完整价值链。这场对话逐渐指向一个更大的问题：AI算力是否正在从基础设施，变成一种可以交易、定价、套利、对冲，甚至金融化的生产资料？ 【主播】 刘锋，BODL Ventures合伙人，前链闻总编辑 【嘉宾】 Danning Sui，Pantera Capital研究总监 【你将听到】 02:57 别把OpenRouter当成单纯的API聚合器，这是动态的算力交易市场 06:30 OpenRouter把模型和算力解耦了 07:49 Token正在成为算力的标准化商品，竞价市场出现 08:50 为什么OpenRouter的数据非常重要：它在提供罕见的AI推理价格发现机制 12:00 算力和推理，其实是两种不同的商品 13:14 拆解AI 推理背后的完整供应链 14:52 纯粹的算力中间商可能越来越难赚钱 19:47 闭源模型利润正在被压低 21:35 OpenRouter上的市场博弈和诱导报价（像极了DEX上的做市商诱导报价伎俩） 32:48 如果卖Token这么赚钱，英伟达为什么不自己卖？ 35:36 AI推理市场价值链里的利润正在动态迁移 40:06 算力正在被逐层商品化 43:23 为什么GPU并不像石油？ 46:38 算力金融化：期货、杠杆与交易市场 52:53 重新回答：OpenRouter到底值在哪里？ 55:19 去中心化AI训练可能没有想象中容易 55:59 值得进一步关注的数据和研究：Tarun的研究文章、SemiAnalysis、Architect、OpenRouter团队发布的数据 【背景信息】 Tarun Chitra 撰写的研究文章： The Souq: Value Creation and Extraction in OpenRouter (大市集：OpenRouter上的价值创造与提取) AI 推理产业链全景图 【词汇表】 本期播客提及的Web3/AI领域产品、公司与专有名词 ConsenSys 0X Flashbots The Merge Palantir/Alex Karp Together AI Fireworks AI RFQ（Request for Quote，询价机制） Wintermute Uniswap PancakeSwap VAST.ai SF Compute Architect Nebius 【后期】 AMEI 【运营】 朱婕 【BGM】 Mumbai - Ooyy 【在这里找到我们】 收听渠道：苹果｜小宇宙 海外用户：Apple Podcast｜Spotify｜Google Podcast｜Amazon Music 联系我们：podcast@sv101.netSpecial Guest: Danning Sui.

Sunday sees the Irish Champions Festival head to the Curragh, and with four Group 1s in succession, here's hoping Ruby and Rory can find the winners! Claim your Money Back Token for Sunday, and find more information on all of the available offers mentioned in the show, right here: https://promos.paddypower.com/sport Enter our free-to-play ELIMINATOR and be in with a chance of winning £10,000: https://promos.paddypower.com/promotion?promoCode=FTP6QELIMINATOR&returnURL=https%3A%2F%2Fwww.paddypower.com%2Fpromotions Be sure to subscribe to the Paddy Power Racing YouTube channel so you don't miss any of our racing content, including the return of Fridays With Fran next week! It's Sunday Tipping, coming to you straight “From The Horse's Mouth”… 18+ GambleAware

The U.S. strikes Iranian tankers amid ongoing tensions in the Middle East, President Trump bans Canadian alcohol and motorcycle imports, Brazil's Supreme Court Justice reinstates the Federal Police Chief, Rwanda's Paul Kagame inks key agreements with Oman during a visit, Hunter Biden's $LAPTOP crypto token spikes, then crashes, Norway assists the return of Russian citizens after a ship seizure in Arctic islands, the U.K.'s Prime Minister Burnham backs National Air Traffic Services chief as over 2K flights get canceled, President Trump reportedly gave $45,000 cash gifts to three top aides, Google suggests that hackers, including those allegedly from China, now use AI agents to attack in hours, a new report suggests that global reading scores have plunged. Sources: Verity.News

The Doncaster Cup takes centre stage on Friday, and Frank Hickey is on hand once again to try and find some winners! Claim your Money Back Token for Friday, and find more information on all of the available offers mentioned in the show, right here: https://promos.paddypower.com/sport Enter our free-to-play ELIMINATOR and be in with a chance of winning £10,000: https://promos.paddypower.com/promotion?promoCode=FTP6QELIMINATOR&returnURL=https%3A%2F%2Fwww.paddypower.com%2Fpromotions Be sure to subscribe to the Paddy Power Racing YouTube channel so you don't miss any of our racing content, with more shows coming down the track this week! It's Friday Tipping, coming to you straight “From The Horse's Mouth”… 18+ GambleAware

A HUGE Saturday of racing is upon us, with the St Leger taking centre stage at Doncaster and three Group 1s lighting up the card at Leopardstown. Ruby and Rory are on hand to preview all the action! Claim your Money Back Token for Saturday, and find more information on all of the available offers mentioned in the show, right here: https://promos.paddypower.com/sport Enter our free-to-play ELIMINATOR and be in with a chance of winning £10,000: https://promos.paddypower.com/promotion?promoCode=FTP6QELIMINATOR&returnURL=https%3A%2F%2Fwww.paddypower.com%2Fpromotions Be sure to subscribe to the Paddy Power Racing YouTube channel so you don't miss any of our racing content, including a bonus Sunday Tipping show this week! It's Saturday Tipping, coming to you straight “From The Horse's Mouth”… 18+ GambleAware

Welcome to this month's 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.Pod newsSean Sullivan interviewLindsay Lou's Bluegrass Women interviewJulian Lage Australian tour datesNews and announcements - church street news Bela Fleck pre-orderReleases (The Grass is New)Billy Strings - So Much For GoodbyesLindsay Lou - Bluegrass WomenBryan Sutton - From Roots to BranchesBryan interviewMr Sun - The Idea GuysOther 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

It's Day 1 of the 250th St Leger Festival at Doncaster, and we've lined up our esteemed trader - and all-round nice fella - Frank Hickey to run through the card! Claim your Money Back Token for Thursday, and find more information on all of the available offers mentioned in the show, right here: https://promos.paddypower.com/sport Be sure to subscribe to the Paddy Power Racing YouTube channel so you don't miss any of our racing content, with more shows coming down the track this week! It's Thursday Tipping, coming to you straight “From The Horse's Mouth”… 18+ GambleAware

The fellas from CWTFB Radio are back this week after a week off‼️ This pod starts off with some laughs then some cries as Charlie mourns the death of his mother (a day before recording). This seems like 2022 all over again when he sat down with Leedz a day after his father passing; but the show must go on‼️ RIP to Marie L Preston— she will never be forgotten

The January 2019 Zack Voell crossover (he was hosting The Coin Pod) is now remastered: featuring opt-in money, gridlock as a feature, FDR's gold grab, Russia rumors & dating as a Bitcoiner in NYC. The audio has been enhanced too! Time stamps: 0:00 - Intro 0:46 - Remaster Notes: This Show Was Almost Called "Bitcoin & Politics" 2:12 - Sponsor Shoutout: Helen's Pizza in Jersey City 3:30 - The Crossover Episode Zack Never Published 4:41 - The Original Recording: January 2019 5:42 - Bitcoin as a Tool of International Affairs 7:49 - Bitcoin Obituaries, Silk Road Curiosity & Getting Rekt 11:39 - The Opt-In Economy: Voting With Your Money 13:26 - "You Only Ever Experience One Bear Market: Your First" 16:54 - The US Dollar's Outlaw Origins 17:55 - Colonial Currency Disasters & Tobacco Money 20:27 - Thirty Years of Failed Internet Money 21:51 - Gridlock Is a Feature: Congress & Nakamoto Consensus 22:37 - Bitcoin: A Very American Invention 24:47 - Why Americans Seem to Own the Narrative 27:18 - The White Paper's American Pedigree 30:44 - Could Bitcoin Have Come Out of China or Russia? 31:35 - Liberty Arbitrage & the Two Foundational Freedoms 35:15 - FDR's Gold Confiscation 37:43 - Jefferson, Madison & the Hard Money Founders 39:10 - Voltaire's Zero & the Fiat Inertia 43:08 - Rousseau, Property & Money as a Token of Trust 48:02 - Rational Ignorance: The Questions We Never Ask 50:55 - The Bitcoin Crash Course & Why Money Creates Community 55:36 - The Bitcoin Noob Moniker 58:52 - Dating as a Bitcoiner in New York City 1:02:58 - "But That's Not Real Money" 1:04:15 - Paying Your Half of the Date in Bitcoin (2017 Edition) 1:09:48 - The Russia Bitcoin Reserve Rumor 1:13:48 - Bernie Madoff Is Not Satoshi Nakamoto 1:17:19 - Who Adopts First: The Unbanked or the Privileged? 1:20:18 - Deplatforming, Gab, Patreon & Money as Speech 1:23:07 - The Four Freedoms of Money 1:26:05 - The Inconvenience of Freedom 1:29:20 - Your Own Single Point of Failure 1:31:09 - If You're Glad, Then I'm Vlad

For a business, “giving back” can sometimes sound like a bit of a corporate cliché, but what does it actually mean when that support reaches the ground and makes a measurable difference to people's lives? Tesco's Community Fund has been doing that since 2014, distributing more than €10 million to some 27,000 community projects across Ireland. Joining Bobby to hear all about the initiative is:Louise Glennon, Head of Community at Tesco Ireland John Moylan from Blood Bike West Jacinta Walsh from ABACAS

In this episode, we focus on token cost and token optimization in generative AI, and we discuss why token use needs budgets and controls rather than being treated as unlimited. We also talk about how repeated prompting, testing, and downstream work can quickly increase token consumption. We also talk about where AI agents make sense and where cheaper models or existing data should be used instead, including a bug triage example where systems should gather history and reproduce issues before escalating. We close by discussing responsibility, accuracy, and governance, including marking unverified claims clearly and using strict prompts and review passes. We also note the need for better expectations around safety and liability in AI systems. Transcript here: https://otter.ai/u/0Y-EBKoKsN7UWxC6YzMkb44ZN6w?utm_source=copy_url

Global data center power demand could rise 170% by 2030 from 2025 levels according to Goldman Sachs Research's Brian Singer and Carly Davenport. They joined hosts Allison Nathan and George Lee on the Goldman Sachs Exchanges podcast to  discuss how data centers will source that power, the key bottlenecks, and the impact of growing pushback from some local communities.  Key takeaways:  The rise in power demand from AI more broadly is forecast to be the equivalent of adding another Japan to the world's power consumption by 2030 compared to the start of 2024.  Goldman Sachs Research sees seven key binding constraints for data center power today including price, policy, and people. Delays for connecting data centers to regional US power grids are as long as seven years.  The Mid-Atlantic region should remain the largest US data center power market until at least 2030, but the Midwest is set to overtake Texas for second place.   The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment, legal, or tax advice, a recommendation from any Goldman Sachs entity to take any particular action or be used as a basis for any other investment decision, or an offer or solicitation to purchase or sell any securities or financial products. Any forward-looking statements, case studies, computations or examples set forth herein are for illustrative purposes only. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any sponsorship, affiliation, endorsement, ownership or license rights between any such company and Goldman Sachs. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs.  Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html.  A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript.  Date of Recording August 12, 2026.  © 2026 Goldman Sachs. All rights reserved.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Check out Gartner Symposium: https://cxo.news/KGg8XY========More than 90% of the code at Snap is now written by AI agents, and a code review agent checks most of it within ten minutes. Saral Jain, SVP, Head of Engineering and CIO at Snap Inc., built the system that makes that safe for nearly a billion monthly users. He explains the golden path of 14 managed agents, the guardrails that account for more than half of the investment, and why accountability still rests with a named human for every change that ships.YOU'LL DISCOVER✅ Why Snap funds 14 blessed agents on a golden path instead of letting every team build its own✅ How Casper turns a Slack conversation into a sandboxed pull request that CodePal reviews before a human sees it✅ Why more than half of Snap's agent investment goes into evals, code review and rollback rather than into building✅ The risk-tiering test that separates an internal dashboard from a privacy-sensitive change✅ Why Saral says the risk is not AI-generated code, it is unowned code✅ How Snap measures value on outputs, with commits up 75% year over year and severe outages down 57%✅ Why context beats model 100 out of 100 times, and what context actually means inside a 15-year-old codebase✅ Four pieces of advice for CIOs, ending with why adoption has to start at the top⏱️ TIMESTAMPS0:00 Agents write the code, engineers own it7:17 Agents as teammates with defined personas12:52 Systems for agents, features for humans16:09 How Snap governs thousands of agents22:39 Invest in guardrails before building agents29:46 Output metrics and the coordination tax33:08 Context you can give, judgment you cannot38:14 The risk is unowned code44:58 Working with unpredictable AI systems47:13 Agents beyond engineering, and human skills50:24 Token spend and model routing52:35 Advice for leaders and the risks aheadSubscribe for weekly conversations with leading business and technology leaders.Get the CXOTalk newsletter: https://newsletter.cxotalk.comShow notes, transcript, and summary: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scaleEpisode 929 | Recorded August 21, 2026#CXOTalk #AgenticAI #SoftwareDevelopment #EngineeringLeadership #AICodeReview #Snap #CIO #AIGovernance #DeveloperProductivity #snapchat

What matters more in today's market: the numbers or the story investors believe? This week, we debate crypto's rebound and why markets increasingly reward narrative, momentum, and massive future outcomes over traditional valuation. We also cover Hyperliquid vs Pump, Ethena's token overhaul, AI valuation mania, and the convergence of trading and social. Enjoy! TIMESTAMPS: 00:00 Intro 01:07 Is Crypto Risk Worth It? 08:07 Are AI Assistants Overhyped? 13:40 Is Crypto Undervalued Again? 22:06 Why Pump Trails Hyperliquid 30:14 Ads (TOKEN2049, Avalanche Summit) 34:12 Ethena Fixes Its Tokenomics 42:33 How Does Ethena Keep Growing? 49:30 Can FOMO Onboard Normies? 56:10 Content Of The Week FOLLOW THE SHOW › Empire– https://x.com/theempirepod › Jason – https://x.com/jasonyanowitz › Santi – https://x.com/santiagoroel › Rob – https://x.com/HadickM › Telegram – https://t.me/+CaCYvTOB4Eg1OWJh › Blockworks – https://x.com/Blockworks EVENTS › Join us at Digital Asset Summit 2026 Asia October 7th & Digital Asset 2026 London November 10-11th https://blockworks.com/events › Avalanche Summit NYC lands Sept. 16–17. Save 15% with code BLOCKWORKS15: avalanchesummit.com/registration DISCLAIMER Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only. Any views expressed are opinions, not financial advice. Hosts and guests may hold positions in the companies, funds, or projects discussed.

This is an Impact Pricing Blog published on June 15, 2026, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/the-case-for-token-based-pricing/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/  

用上AI Agent之后，Token越耗越多？越来越贵？Agent承担管理记忆、调用工具、规划步骤、检查结果；而模型又在代码、上下文和推理上各有长短板。让一个顶尖模型“打天下”，昂贵也未必高效。这便让位于基模与Agent中间的Harness成为行业焦点，它将调度细化到每一次查询，在效果与Token成本之间寻找更优解。本期节目，我们邀请到基元律动创始人王云鹤与纪源资本投资经理周钱晟，拆解多模型Routing背后的商业逻辑。时下很火的Harness，到底是什么意思？Harness对于模型的意义体现在哪些方面？个人与企业拥抱智能化，存在哪些差异化需求？AI Native团队如何重新分配人与AI的工作？Agent爆发前夜，创业公司还有哪些机会？02:34 在AI最热的时候离开大厂去创业06:49 创业门槛相比以前更高08:55 究竟什么是Harness？12:22 Harness反哺下一代模型15:17 用“四驾马车”来理解基元律动的Harness18:43 把Agent的Token价格打下来21:11 企业不能跳过信息化直接走向智能化25:24 四五个模型，融合出更优解28:21 Harness层，不会被吞噬的是什么？35:24 从个人好用到企业落地的鸿沟41:07 “古法编程”时代已过，团队需要怎样的人才？47:53 AI领域的创业机会与认知51:20 基元律动的人才招聘需求53:03 评论区抽取5名听众送出基元律动Token《创业内幕》粉丝群已经开通，在这里，你可以跟节目制作人/主持人直接沟通，也可以第一时间了解到纪源资本线下活动动态，见到纪源资本的投资人，结交其他互联网圈子里的小伙伴。 入群方式：1）添加微信号“JiyuanFans”为好友，并在好友请求中标注“创业” 2）把你的全名和职称发给创业小助手；如果您想约访谈，请添加小助手微信，并附上访谈嘉宾简介，小助手将帮您对接。

My guest this week is 5 time Grammy award winning engineer, mixer and producer Sean Sullivan.Sean has worked with dozens of artists, including Sturgill Simpson, Tyler Childers, The Steeldrivers, The Del McCoury Band, Michael Cleveland, Andrew Marlin, Molly Tuttle & Golden Highway and Mighty Poplar.We chat about his route into recording and how he only came to love string band music when he started working on it. Sean also talks about what he learned in his time at The Butcher Shoppe Studio, owned by John Prine and producer David Ferguson, and his current studio, The Tractor Shed.We also talk about what's really important in music, Sean's approach to working with artists and why, sometimes, the best sounding records just aren't the best records.Follow Sean on Instagram or check out www.seansullivanaudio.com to keep up to date with what he's working on. You can find out more about The Tractor Shed at www.tractorshedstudio.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

It's Monday in the Palm Street Studio and the neighbor Cindy, brought over fresh baked zucchini bread, thanks!  Go Buck, yourself, and a new drop, Buck is busy and more confident than ever.  Get well soon JTK!  Junior is finally growing up?  It's now a "cake topper".  Applegate Inn pizza and Bunny's frozen custard, it was an epic food day.  The Grumpy Griller and Phil go on a rip.  The Oven in Caro is a good place to eat.  Token plays the bass...Junior plays...WNBA fantasy?!?!?   Featuring Silent S, The Grumpy Griller, Hall of Famer Junior!, Sir Phillip Nichol, and Lord Adam Filkins.  Make good choices!

In today's Cloud Wars AI Minute, I explore why falling token prices aren't necessarily making AI transactions cheaper. Highlights 00:01 — So, one of the things that I want to talk about today is going to be the token economy. And what we're actually seeing is that tokens are about 12 times cheaper than they've been before. 01:30 — But what we're seeing is the average cost of a transaction is actually going up, and that is because of the fact that while token prices are coming down, the amount of tokens it takes to process something is actually going up. We're actually seeing a 520 percent increase in the amount of tokens that you're going to need to have per unit of work. 01:56 — And the reason behind this has been this agentic reasoning loop and the reasoning models that are starting to go and process. As a matter of fact, you're actually seeing that most recently, we've even seen that chat-based things and chat conversations that have happened between humans and agents have actually now, for the first time, started to fall off. 02:30 — So, if this industry trend continues, what you're going to see is that we're going to continue to see this drop. But what we want to see is we want to start also seeing some sort of normalization and drop happening on the average amount of tokens spent on a per-transaction basis. Visit Cloud Wars for more.

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper discuss AI fatigue, better ways for finance teams to use AI, and the growing challenge of forecasting AI costs. They explore why finance leaders should focus less on chasing new models and more on building the data, context, and workflows needed to get real value from AI.In this episode, you will discover:Why finance teams should stop chasing every new AI model.Why context is becoming more important than prompting alone.How better KPIs and data foundations improve AI results.How organizations can forecast and manage AI token costs.Why AI success should be measured by business outcomes.Paul and Glenn explain why effective AI adoption isn't about using the most tokens or knowing every new tool. It's about using AI to help finance make better, faster decisions.Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review.Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] – Trailer[03:17] – AI Fatigue & Model Overload[09:38] – Beyond Prompt Engineering[16:03] – Building Better AI Context[24:29] – Organizing Finance Knowledge[27:29] – Token Maxing & AI Costs[32:06] – Forecasting Token Spend[38:23] – Focusing on Business Value[41:43] – Closing Thoughts

0:00:00 – HKPUG 會訊 + TechTalk 0:52:20 – 依輪乜事 1:29:44 – Main Topic 本集全長：2:47:14 Tag: 九月茶聚開始登記, 香港電腦通訊節直播回顧, ProductTank HK 活動回顧, TechTalk, 政府新聞處處長謝振中, 部份社交媒體「已經過氣」？, 中國衛通衛星上網計劃年費 27,999 …

Dave Garcia is originally from Barcelona, and recently moved stateside, to the East Coast. He started coding when he was 7 years old, on a Commodore 64, in BASIC language - and when he programmed an infinite loop, he was hooked. He's been curious about machines, and fixing them - even when they weren't broken. Outside of tech, he is married with a young family. He enjoys playing video games - mostly Dad games these days - and loves to do anything on the water, like kite surfing.A few years ago, Dave decided to take some time off to spend it with his family. When the AI boom started to happen, suddenly the technology became ubiquitous, where AI was changing the life of generations around him. After some investigation, he decided wanted to build something world changing, relevant to the world the knows - which is within the tech mgmt. world.This is the creation story of Pensero.SponsorsTiger DataLinkshttps://pensero.ai/https://www.linkedin.com/in/davebcnCheckout our episode stacks on Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Arrow Finance is building the credit layer on Robinhood Chain, letting you borrow aUSD against tokenized stocks and ETFs without selling a share. Mainnet is close and incentives are lining up to pull TVL onto the chain. We get into what that means for holders, the ARROW token, and why Coinbase suddenly launched tokenized stocks on Base this week with four tickers while Robinhood already shipped the full stack across 120+ countries.GUEST: Ash Manicka, Founder, Dimes Square Advisory - Strategic Advisor to Arrow FinanceFollow Ash on X ➜ https://x.com/dimes_xyzArrow Finance Website ➜ https://x.com/ArrowFinanceio00:00 intro00:10 Sponsor: Tangem00:45 Base launches tokenized stocks ecosystem01:15 Hood vs Base first month growth01:50 RH Vault growth02:20 Arrow Finance on Robinhood04:40 Explain aUSD Collateral Token05:10 Tier 1 vs Tier 2 Equities?07:10 RH airdrops incoming?08:30 Arrow Finance featured on RH Defi Wallet?09:00 Robinhood stimulating the DeFi economy with incentives?09:50 RWA airdrops coming to Robinhood?12:00 50/50 revenue split with Lighter: why not do this with RH?12:30 Robinhood DeFi Perps x Lighter13:00 Should Robinhood be worried about Coinbase?15:40 $ARROW token revenue share?16:20 Tokenization in 12 months?#Ethereum #Solana #Crypto~Robinhood Tokenized Stocks

Every AI conversation in our industry sounds the same right now. Someone shows a demo, everyone nods, and then Monday happens and nothing changes. So we asked a narrower question: what are you actually doing with this on a Tuesday afternoon? Brandon Toombs answered with five things he built himself - and he is the first to tell you he is not a programmer. Along the way: browser-use agents clicking through an HR system, a blunt read on the reported Workday going-private talk, why token bills are real, and the one nobody in our industry enjoys hearing - that HR admins do not need their consultants as much as they used to. CHAPTERS 00:00 Intro 07:53 Todd's read on the Workday going-private rumour 11:15 Workday now has the problems SAP and Oracle used to have 14:06 Why Brandon says go to SuccessConnect 15:33 Five things Brandon built with AI 20:28 The support pack bot that repairs itself 31:01 $20 a month, or get left behind 33:02 Refine, refine, refine 34:00 Token bills are real 42:55 Browser use: create a position, hire an employee 51:10 HR admins don't need their consultants as much ABOUT OUR GUEST Brandon Toombs has spent 25 years in HR tech focused on SAP SuccessFactors. He is a three-time SAP Press author, a former CPA, runs his own consultancy, and is behind the leading Employee Central YouTube channel. Brandon also made us something. "Behind the Curtain" is his anthem for everyone who keeps HRIS running:    • Behind the Curtain - an anthem for everyon...   THE WRITTEN VERSION We break this episode down, with links straight to each moment, in the newsletter: https://payrollbadies.beehiiv.com Hosts: Imran Sajid, Raj Sharmacharya, & Todd Asevedo. #SAP #SuccessFactors #PayrollBADIes #AI #HRIS #payroll #EmployeeCentral #ECP

本期阵容：程明霞｜哈佛商业评论中国执行主编李伟｜三联生活传媒 副总经理*AI 狂飙，到处都在渲染 “不学 AI 就会被淘汰”。可焦虑的到底应该是谁？本期是《三联生活周刊》1400 期特别策划——”人在中流“的第1期。市面上到处流传一句话：“AI 不会淘汰人，但会淘汰不会用 AI 的人”。AI 让我们越来越快，似乎也在让我们越来越焦虑。当大模型、Agent、Token 成为职场里的新关键词，我们似乎被推着进入一场竞赛：别人已经在用 AI 了，我是不是也必须马上跟上？如果不会用，会不会被淘汰？如果用得不够好，会不会输给那些更懂 AI 的人？本期节目的两位嘉宾——哈佛商业评论中国执行主编程明霞老师和三联生活传媒副总经理李伟老师在对谈中，给出了一个新的视角：我们真的需要如此焦虑吗？ 两位嘉宾从“Token 通胀”开始聊起，聊到 AI 背后的资本叙事、科技大厂的竞争，以及信息生态中越来越狭窄的声音。当 AI 开始接管大量重复性工作，人反而需要重新回答一些看起来很古老的问题：我擅长什么？我真正想做什么？什么事情值得我花时间？什么才是我不可替代的价值？ 如果把现在人们对于AI的焦虑，放进更长的人类历史里来看：我们曾经被土地束缚，后来进入工厂、办公室和平台，“朝九晚五、固定职位、稳定组织”的工作其实出现在人类历史中的时间并不长。我们真正重要的能力可能不再只是知识和技能，而是主体性、判断力、审美、创造力，以及与人建立连接的能力。“人是AI的尺度”，我们只能用AI来衡量你的生活，但不能用它来决定我们自己的价值。欢迎收听本期节目，寻找你的答案。00:00:08 本期主题：AI 与职场，主题“Token通胀，谁还能不可替代”00:05:02 拿Token当KPI是科技大厂的话术00:09:45 哪两类人最容易产生 AI 焦虑：害怕“下牌桌”和急于“上牌桌”的人00:14:10 糟糕的信息生态：“自媒体搬运硅谷大佬的话”，叙事极其狭窄00:22:52 工作形态正在巨变：从“使命必达的牛马”到“自己的CEO”00:26:12 工作本身就是近一两百年才有的东西，没那么坚不可摧00:31:25 “人是AI的尺度”00:35:38 习得性无助：当我们从小被剥夺了决定权，长大也不知道该如何选择00:48:20 我们为什么要有非算法能力？00:53:30 智能手机的应用导致了生育率的下降？01:00:58 人的退化：从打工人到“牛马”01:03:05 “读书改变命运”需要被重新定义01:08:25 “要有移民心态”，在不同的大陆之间迁移01:17:12 阅读是对抗算法和资本叙事的最好方式本期节目中的相关内容：《后真相时代》作者赫克托·麦克唐纳。书中指出，我们已进入“后真相”时代——诉诸情感和个人信仰比客观事实更能影响舆论。麦克唐纳将“后真相”归纳为四种竞争性真相：片面真相、主观真相、人造真相、未知真相。节目中用它来说明：我们听到的AI叙事，是硅谷大厂精心选择后呈现的“片面真相”。 《纳瓦尔宝典》作者埃里克·乔根森，整理了硅谷知名天使投资人纳瓦尔·拉维康特的智慧箴言。全书分“财富”与“幸福”两大主题，强调通过专长积累、杠杆效应和判断力实现财富增值，同时提出幸福是一种可习得的技能。节目中引用其核心理念：“做自己是最好的，因为别人都做不了你最擅长的事” 。 习得性无助（Learned Helplessness）美国心理学家马丁·塞利格曼提出的概念。指因重复失败或惩罚而造成的听任摆布的行为和心理状态。经典实验：狗被电击多次后，即使笼门打开也不再逃跑，而是倒地呻吟。节目中用它来说明：中国孩子从小被家长和老师剥夺决定权，长大后丧失表达自己倾向的能力。图灵测试（Turing Test）英国计算机科学家艾伦·图灵1950年提出的思想实验。图灵本人将其称为 “模仿游戏”（Imitation Game），测试者与被测试者（一人一机）隔开，通过文字问答判断谁是真人谁是机器。如果机器能让测试者无法分辨，就通过了测试。节目中用它来说明：AI已经“很像人”了，这是这一轮技术革命与互联网时代的本质区别。Token（词元）通胀Token是AI产业的核心计量与结算单位。随着AI应用普及，Token消耗规模指数级膨胀，单位价值被稀释，呈现典型通胀特征。节目中用它比喻AI时代的“铲子”——科技大厂靠卖Token赚钱，但投入产出是否匹配是未知数。编辑/天健剪辑/译丹三联数字刊×哈佛商业评论联合会员

My guest this week is Lindsay Lou.I chatted with Lindsay a while back, about her record Queen of Time. This time we're talking about her brand new record Bluegrass Women. Lindsay reveals how the project came about and why she wanted to make a record celebrating the contributions of women to bluegrass. We talk about the musicians on the record - including Sarah Jarosz, Sierra Hull, Molly Tuttle, Laurie Lewis and Alison Brown - and why mentorship and multi-generational music making are so important.Lindsay also discusses the origin of some of the songs on the record, many of which will be familiar to regular listeners to bluegrass, but not everyone will realise they were written by women (I certainly didn't).We also chat about the importance of vocal harmony and how Bluegrass Women was a natural progression from Queen of Time and its predecessor Southland.Here's some info on where to buy or stream Bluegrass WomenYou can check out the harmony singing lessons mentioned on Lindsay's Patreon page. 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

【98有聲書房】開張，訂閱收藏News98精選有聲書：https://apple.co/44KcuRo主持人：阮慕驊來賓：《天下雜誌》資深副總主筆 林宏達 主題：解密Token經濟 節目時間：週一至週五 5:00pm-7:00pm 本集播出日期：2026.08.19

The SEC just proposed Regulation Crypto Assets and the market exploded. Ethereum ripped nearly 9% back over $2,000, Bitcoin reclaimed $68K. 402 pages, two new fundraising lanes, and an escape hatch that can turn a token into a non-security. But the public meeting was cancelled four days before the private vote, why?~This episode is sponsored by iTrust Capital~iTrustCapital | Get $100 Funding Reward + No Monthly Fees when you sign up using our custom link! ➜ https://bit.ly/iTrustPaul00:00 intro00:10 Sponsor: iTrust Capital01:00 SEC drops 400 pages01:20 Paul Atkins Video Message02:10 Market reaction02:45 Rules passed in private02:50 How it happened03:50 What it actually creates05:00 The Backwards Protection05:55 What your limit looks like06:35 The Middleman Play07:40 What the cap doesn't do08:30 Coinbase pro retail08:40 The "We're Done" Declaration09:35 Who gets nothing from this10:00 Ripple CLARITY?10:45 The money never shows up11:30 The other read12:10 Comment Period12:35 Crypto Meeting Today13:40 Charts14:10 Is this sustainable?14:45 CFTC meeting - August 20#Crypto #Bitcoin #Ethereum~SEC Boosts Crypto Sentiment!

On today's episode, Parker is home! And it is emotional! Rich is making his way into the cool kids' club with Jeff Lewis! He also had a rare rager and got hit on?!  Sara comes on with a few Reddit stories that need advice and validation. Benny has a great idea, and Keegan gets deep.  Help Rich meet Nicole's deadline! Every like, share, and 5-star review helps grow this village! Thank you for being with us for all the crazy! Have Kids, They Said... is a SiriusXM Network Podcast made by Nicole Ryan and Rich Davis.If you'd like to send us a message or ask a question email us at HKTSpod@gmail.comFollow on social media:Instagram @havekidstheysaidpodNicole @mashupnicoleRich @richdavisand @siriusxm Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

How should finance leaders measure AI ROI when adoption has slowed and the cost of models, tokens and disconnected tools remains difficult to predict? In this episode of Tech Talks Daily, I welcome Jeremy Ung, Chief Technology Officer at BlackLine, back to the podcast to discuss how businesses can move from finance AI experimentation to operational deployment. Figures supplied for the interview show AI adoption in finance rising from 37% in 2023 to 58% in 2024, before moving only slightly to 59% in 2025. Jeremy argues that this apparent plateau reflects several pressures, including uncertainty around cost, regulatory requirements, auditability and the continuing debate over whether companies should build their own AI capabilities or purchase them through established platforms. Token spending is part of the problem. Unlike traditional software costs, model usage can be difficult to predict and allocate. Finance leaders want to understand whether applying AI to a workflow will produce enough value to justify that uncertainty. Jeremy believes companies should avoid creating artificial AI ROI metrics. The business measurements already exist. Is AI helping the company close its books faster? Is transaction matching becoming more accurate? Are collections improving? Is the work being completed faster or with fewer manual steps? We discuss what operationalizing AI in finance looks like in practice. Many processes still require employees to contact vendors, collect information, reconcile data and coordinate with other departments. Traditional software struggled with the variation found in these workflows, while AI can adapt to different processes and communication requirements. Accuracy and oversight remain necessary. Jeremy explains why companies need visibility into the prompts, reasoning, models, data, tools and permissions used by every AI agent. That information creates an operating record that finance teams, auditors and regulators can examine later. His analogy with food labeling provides a useful way to understand AI auditability. Consumers can inspect ingredients, calories and sourcing information before buying food. Finance leaders should expect comparable information about the models and data involved when an agent performs financial work. We also discuss the problem of fragmented data. Jeremy acknowledges the familiar rule of garbage in, garbage out, but argues that AI can help connect legacy platforms and mainframe systems that businesses previously found difficult to integrate. The role of finance professionals will change as agents perform additional work. Employees may spend less time completing individual tasks and more time setting goals, reviewing results, approving actions and directing teams of agents. Should CFOs continue buying additional AI tools, or concentrate on embedding existing investments into the financial workflows that determine business performance? Please share your thoughts with me.

「如果沒有中國開源模型，OpenAI和 Anthropic早就荷包賺滿了。」在叩關一兆美元IPO前夕，OpenAI和 Anthropic被迫殺價迎戰，而原本的低價破壞者 DeepSeek反而大幅調漲服務價格。在這場顛覆既有格局的定價權之爭中，誰才能真正笑到最後？ 文：張詠晴  製作團隊：錢玉紘、鄭子鴻 ＊閱讀零時差，點這看全文

In today's Cloud Wars AI Minute, I break down the rise of agentic reasoning loops and why their impact on AI token consumption and costs could be significant. Highlights 00:12 — Today's topic is going to be agentic reasoning loops. Everyone's moving to this concept where we can have a planning, act, observe, and reflect type of process, which allows us to be able to get much deeper analysis and much more resilient implementations across AI, across the world. 01:03 — Now, the other thing is with this, we're seeing that about 33% of enterprise software will run on this kind of approach by 2028. Also, the other part of this is that because these different loops are taking place, we're actually seeing that tokens are going to get more and more consumption happening off the back end. 01:38 — So one of the driving factors of this is going to be the increase that we're seeing, and just to give you perspective of what we're starting to see, it's about a 17x on a single chapter that we're starting to see happen as a result of this. So what it used to do when we just did simple RAG patterns. 02:01 — Now we're seeing about 17 times the amount of tokens being consumed, and when we start seeing that level of token consumption, we're going to see that while we're getting better answers, there's also going to be a higher cost that's associated to it. 02:28 — But it doesn't matter that the tokens are necessarily coming down in cost because of the fact that what we used to see is that an average transaction would be about three cents, and now we're seeing it move to about 15 cents across the board, and so this is going to be one of those things that we really need to be thinking about as you start to build out your solutions. Visit Cloud Wars for more.

Send us Fan Mail I am celebrating Episode 300 with something special — a full drag-a-thon of Real Housewives Ultimate Girls Trip Roaring 20th Episode 1 — your jaw will land on the floor. I have some very specific things to say about NeNe Leakes getting a token scene and a show that kept bringing up her and others' most iconic moments while leaving them out — and what I think that tells you about Bravo. Then why Vicki Gunvalson should have kept her mouth completely shut in the very first scene of this show. Teresa Giudice makes up her crime. Then the moment that genuinely shocked Kyle Richards on camera — and Kyle is not easy to shock after 15 seasons — that I think went way too dark for what was supposed to be a 20th anniversary celebration. Then Shannon Beador and Tamra Judge getting fired from future RHUGT episodes — I tell you what really happened behind the scenes that the show does not show you and we discuss who really started all of it that nobody else is pointing at. Where are the lost cities in this celebration — RHOM, RHODubai, RHOL, RHOP, RHODC? Then Lisa Barlow uses the word icky seven times and I have some very specific thoughts about why she of all people should sit this one out. Then I start my Kelly Dodd and Lacey Kogan small claims court deep dive — I read the actual filing, I found Lacey Kogan online and what I found makes me think this is not exactly what Kelly is claiming it is — and I have a theory about why she filed in Orange County instead of Florida. The full Kelly Dodd deep dive, the Dr. Dhivya Srinivasa receipts, the Captain Sandy Yawn fraud resolution, the Luigi Mangione plea deal breakdown and the Lindsay Clancy postpartum psychosis trial deep dive with my honest verdict are exclusively on Patreon for $6.00 a month — come gossip with me: https://www.patreon.com/cw/DishingDramaWithDanaWilkey

Welcome to this month's 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 Bluegrass Album Band reissueBlue Waters BluegrassDawg at 80 videosReleases (The Grass is New)Lindsay Lou - Bluegrass WomenMike Marshall Sings BluegrassKen and Brad Kolodner - Hand's CoveNew Acoustic Collective - Double CourseScroll on BuddyTelluride documentaryOther 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

In his first interview since declaring the ElizaOS token dead, Eliza Labs Founder Shaw Walters sits down with CoinDesk's Jennifer Sanasie to lay out what he says actually happened. He also makes a broader case for why crypto's casino culture is actively driving out the builders who could make the space matter and why he's still coding Eliza every day regardless. - Timecodes: 00:00 - Shaw Walters Joins CoinDesk 02:23 - “Why Do People Think I Owe Them Anything?" 06:35 - How AI16Z Started: A $75K Joke That Hit $2.6 Billion 10:49 - Does He Regret Launching the Token? 11:43 - Crypto “Needs to Die And…Be Restarted" 15:34 - On the Burwick Lawsuit: "It Was a Total Scam"18:36 - "The Casino Is Not the Industry" 20:40 - Why He's Still Building Eliza 24:00 - "Stay Away From All of This and Invest In Yourself" - This episode was hosted by Jennifer Sanasie. This interview has been edited for clarity and focus.

A.M. Edition for July 31. Earnings from AI hyperscalers this week showed rising demand for their cloud services, with Amazon's CEO forecasting corporate AI use was still in its ‘early stages.' But as EY's Dan Diasio tells us, rising token costs are leading many businesses to question their broader AI approach. Plus, the U.S. says Hamas has agreed to a broad plan to disarm in exchange for an eventual Israeli withdrawal from Gaza. And WSJ reporter Margherita Stancati describes how the arrival of thousands of migrants into the Spanish territory of Ceuta from neighboring Morocco is piling political pressure on the center-left government in Madrid. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.