Podcasts about Distributed computing

In this episode of ACM ByteCast, Rashmi Mohan hosts ACM Fellow and 2016 ACM Software System Award recipient Alfred Spector, Professor of Practice in the MIT EECS Department. He was previously CTO of Two Sigma Investments, and before that Vice President of Research and Special Initiatives at Google. Alfred played a key role in developing the Andrew File System (AFS), a breakthrough in distributed computing that later became a commercial venture. He is also known for coining the term “CS + X.” He is a Fellow of the American Academy of Arts and Sciences, Hertz Foundation, and National Academy of Engineering, and recipient of the IEEE Kanai Award for Distributed Computing. Alfred recounts how he initially pursued programming out of personal enjoyment in college. He talks about developing AFS at Carnegie Mellon University, the challenges of turning academic research into commercial products, and the transition from academia to entrepreneurship, sharing some of the lessons learned along the way. Alfred touches on his time at IBM, which acquired his startup Transarc, and the differences between startups and large corporations. He also talks about some of his most notable work as a technical leader at Google, such as Google Translate. Finally, he offers a unique perspective on the rapid evolution of AI and advocates for a more multidisciplinary approach for developing responsible technology. “Google's hybrid approach to research” paper “More Than Just Algorithms” (ACM Queue article)

Back in 1994, Peter Deutsch and his colleagues at Sun Microsystems identified what they described as the "eight fallacies of distributed computing" — flawed assumptions that often get made when teams move from monolithic to distributed software architectures. In recent years, software architecture experts and regular writing partners Neal Ford and Mark Richards have identified a further three new fallacies of distributed computing: versioning is easy; compensating updates always work; and observability is optional. In this episode of the Technology Podcast, Neal and Mark join host Prem Chandrasekaran to talk through these three new fallacies, before digging deeper into other important issues in software architecture, including modular monoliths and governing architectural characteristics. Listen for a fresh perspective on software architecture and to explore key ideas shaping the discipline in 2025. Learn more about the second edition of Neal and Mark's Fundamentals of Software Architecture: https://www.oreilly.com/library/view/fundamentals-of-software/9781098175504/      

On this third episode of Cloak & Dagger, Thane Riddle comes to you again with hard-hitting news and practical information in the realms of privacy and security. Specifically, Thane covers the topic of work/employment privacy in the modern day: what do to, what not to do, and various strategies therein;… The post Cloak & Dagger with Thane Riddle: Episode 2, Work Privacy + Distributed Computing [P.A.Z.NIA Radio Network] appeared first on The Vonu Podcast.

Your DNA, health data, and digital identity are encrypted, monetized, and weaponized against you. But what if there was a way to take it back… and hack the system? In this mind-expanding episode, Dave sits down with two elite hacker-founders—Michael Tiffany, CEO of Fulcra.ai, and Vishakh, founder of Monadic DNA—to explore a radical shift in the way we store, protect, and use our most personal data. Together, they break down the Web3 tech stack powering this revolution. Enter Nillion, a distributed, privacy-preserving compute network that allows you to share and analyze your encrypted data… without ever giving it away. From genomic privacy to AI sovereignty, this episode exposes the hidden architecture of control—and how to escape it. You'll learn how cutting-edge blockchain and cryptography are rewriting the rules of ownership, consent, and even identity itself. What You'll Learn in This Episode: • Why your DNA is already in government databases—and how long they keep it • How Nillion enables secure computation on private data • What it means to build a “cybernetic operating system” for your body • Why Fulcra.ai is building the orchestration layer of human optimization • How Monadic DNA helps you profit from your genetics—without giving them away • Why owning your data is the next frontier of biohacking • The surprising connection between decentralization, health freedom, and consciousness • How to join the movement toward true data sovereignty If you've ever felt like you're giving away too much to big tech, big pharma, or just the internet itself—this conversation will change how you see your data… and your body. **Join the Fulca sleep study today! Visit https://fulcra.ai/sleep to sign up** **Get a 30% discount on Fulca with code “DAVE”! SPONSORS -IGNITON | Go to https://www.biohackingconference.com/ and get your tickets while there are still great discounts available. Learn more at https://igniton.com/. -Calroy | Head to https://calroy.com/dave for an exclusive discount. Resources: • Dave Asprey's New Book - Heavily Meditated: https://daveasprey.com/heavily-meditated/ • Fulcra Dynamics Website – https://www.fulcradynamics.com/ • MonadicDNA Website: https://monadicdna.com/ • 2025 Biohacking Conference: https://biohackingconference.com/2025 • Danger Coffee: https://dangercoffee.com • Dave Asprey's Website: https://daveasprey.com • Dave Asprey's Linktree: https://linktr.ee/daveasprey • Upgrade Collective – Join The Human Upgrade Podcast Live: https://www.ourupgradecollective.com • Own an Upgrade Labs: https://ownanupgradelabs.com • Upgrade Labs: https://upgradelabs.com • 40 Years of Zen – Neurofeedback Training for Advanced Cognitive Enhancement: https://40yearsofzen.com Timestamps: • 00:00 – Trailer • 02:01 – Intro • 02:26 – Data Privacy & AI: The Big Shift • 03:21 – Meet Michael Tiffany • 04:41 – Cybernetic Operating Systems • 05:13 – Wearables & Personal Augmentation • 08:21 – Meet Vishakh: DNA Privacy Mission • 09:25 – Why Genetic Data Needs Protection • 11:30 – New Tech: Encryption & Privacy Tools • 16:13 – How Multi-Party Compute Works • 41:58 – Emergence: Behavior & Systems • 49:11 – Meditation & Mental Reprogramming • 50:20 – Distributed Computing & Biology • 56:15 – Environment Shapes Potential • 57:57 – Empowering Individuals at Scale • 01:00:31 – Biohacking Meets Inner Awareness • 01:04:01 – The Dark Side of DIY Mind Hacks • 01:06:09 – Future of Biohacking & Community• 01:12:28 – Integrating Genetic & Life Data • 01:20:39 – Why We Started Biohacking • 01:25:01 – Favorite Current Biohacks • 01:31:41 – Final Thoughts & Resources See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Everyone's chasing bigger AI. The real opportunity? Smarter scaling.Distributed computing is quietly rewriting the rules of what's possible—not just for tech giants, but for everyone building with AI.We're talking cost. We're talking scale. And we're definitely talking disruption.Tom Curry, CEO and Co-Founder of DistributeAI, joins us as we dig into the future of distributed power and practical AI performance.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.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:Distributed Computing for Affordable AIOpen Source vs. Proprietary AI ModelsGPU Demand and Compute LimitationsEdge Computing and Privacy ConcernsSmall Business AI Compute SolutionsFuture Trends in AI Model SizesImpact of Open Source AI DominanceTimestamps:00:00 Rising Importance of AI Compute06:21 AI Model Resource Constraints09:24 AI Models' Efficiency vs. Complexity12:24 Edge Compute for Daily Tasks16:00 Compute Cost Drives AI Market16:58 AI Models: Balancing Cost and Innovation20:43 Adaptability in Rapidly Changing BusinessKeywords:Distributed computing, compute, GPUs, generative AI, ChatGPT, large language models, open source models, proprietary models, affordable AI, scale, Distribute AI, spare compute, Tom Curry, mid-level businesses, accessible AI ecosystem, API access, power grid, NVIDIA, OpenAI, tokens, chain of thought, models size, reasoning models, edge computing, cell phones analogy, data privacy, DeepSeek, Google Gemini 3, Eloscores, open models, hybrid models, centralized model, OpenAI strategy, Anthropic, Claw tokens, commoditization, applications, government contracts, integration, UX and UI, technology advancements, private source AI, business leaders, AI deployment strategy, flexibility in AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

In this episode of the The Digital Executive podcast, host Brian Thomas welcomes Tahir Mahmood, pioneering technologist and co-founder of KRNL Labs. With a career spanning over four decades—from early work at Microsoft to inventing push email for Blackberry—Tahir shares insights into what shaped his approach to innovation and product development. He also reflects on hard-earned lessons about intellectual property and the importance of filing patents to protect groundbreaking ideas.Tahir dives into the mission behind KRNL Labs, a company focused on creating a truly interoperable Web3 infrastructure. He explains how their cryptographically secured cross-chain bridge, developed with CI Network, is revolutionizing blockchain communication by eliminating traditional vulnerabilities. For anyone interested in the future of Web3, AI, or decentralized computing, this is a must-listen episode.

This episode is sponsored by Indeed.  Stop struggling to get your job post seen on other job sites. Indeed's Sponsored Jobs help you stand out and hire fast. With Sponsored Jobs your post jumps to the top of the page for your relevant candidates, so you can reach the people you want faster.   Get a $75 Sponsored Job Credit to boost your job's visibility! Claim your offer now: https://www.indeed.com/EYEONAI     Dominic Williams' Bold Vision for The Internet Computer (ICP) | The Future of Decentralized Computing   The internet is broken—can blockchain fix it? In this episode, Dominic Williams, the visionary behind The Internet Computer (ICP) and founder of DFINITY, reveals his plan to build a decentralized alternative to cloud computing. Discover how ICP is challenging Big Tech, replacing traditional IT infrastructure, and creating a tamper-proof, autonomous internet powered by smart contracts.   What You'll Learn in This Episode: Why Dominic Williams believes the current internet is flawed How ICP aims to replace centralized cloud providers like AWS & Google Cloud The role of smart contracts in making the internet more secure and censorship-resistant The mission of DFINITY and how it started in 2016 The future of Web3, decentralized applications (dApps), and blockchain governance   Don't miss this deep dive into the future of the internet! If you're interested in blockchain, decentralization, and the next evolution of the web, this episode is for you. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) The Origins of The Internet Computer   (02:57) Dominic Williams' Background in Tech   (04:28) Early Innovations in Distributed Computing   (07:08) The Birth of a 'World Computer' Concept   (11:22) Reimagining IT: A Decentralized Alternative   (13:45) The Creation of DFINITY and ICP   (16:29) How ICP Differs from Traditional Blockchains   (22:05) The Problem with Cloud-Based Blockchains   (25:35) How ICP Ensures True Decentralization   (29:25) AI & The Self-Writing Internet   (35:24) How ICP Hosts AI & Smart Contracts   (40:23) Understanding Reverse Gas and ICP's Economy   (45:03) The Vision: A Truly Decentralized Internet   (49:09) How To Use The Internet Computer   (52:01) The Role of Nodes & Incentives in ICP   (56:53) The Future of Web3 & Decentralized Applications   (01:05:49) The Misconception of ‘On-Chain' & Blockchain Hype   

On this episode of Crazy Wisdom, host Stewart Alsop is joined by Dr. David Ulrich Ziegler, an independent consultant specializing in the intersection of cyber and physical utility systems. The conversation spans a range of topics including the intricacies of power grids, the historical evolution of electrical systems, and the future of energy, touching on nuclear power, solar panels, and the emerging role of AI in managing these critical infrastructures. David shares insights into the resilience of systems, lessons from nature for system design, and the potential of decentralization versus centralized control. For more on David's work, you can find him on LinkedIn or connect via his Twitter handle @denersec.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:21 Understanding Cyber Physical Utility Systems01:52 Historical Context of Electrical Grids03:14 Alternating Current vs. Direct Current07:00 Home Electrical Systems and Safety10:11 Technological Leapfrogging and Starlink15:35 The Impact of Internet Connectivity on Society19:36 AI and the Future of Physical Systems21:20 The Evolution of SCADA Systems28:48 Nuclear Power and Decarbonization34:23 The Promise and Challenges of Small Modular Reactors36:33 Geopolitical Influences on Nuclear Power41:15 AI and the Electrification of Knowledge Work44:19 AI's Impact on Professional Workflows48:27 Connecting Data Centers to the Grid53:43 Resilience and Organic Computing in Power Systems01:03:10 The Future of Solar Panels and Energy Independence01:09:19 Concluding Thoughts and Future EpisodesKey InsightsThe Intersection of Cyber and Physical Utility Systems: Dr. David Ziegler emphasizes the importance of understanding the interconnectedness of cyber and physical systems in modern utilities. These systems, often referred to as cyber-physical systems, blend physical infrastructure, such as power grids, with advanced control and automation technologies. Historically, this integration has roots in SCADA systems, which were among the first examples of distributed computing, and remains crucial for ensuring resilience and operational efficiency in today's energy networks.The Historical Foundations of Electrical Systems: The episode highlights key moments in the evolution of electrical infrastructure, from the early debates between alternating current (AC) and direct current (DC) to the development of distributed control in power systems. Ziegler discusses how early technological decisions and innovations shaped the global grid, setting the stage for the modern challenges of integrating renewable energy and decentralized energy systems.The Promise and Challenges of Nuclear Energy: Ziegler provides a balanced perspective on nuclear power, acknowledging its potential as a low-carbon energy source but highlighting challenges such as high costs, public fear, and the complexities of large-scale projects. He notes the emerging interest in modular reactors, which aim to reduce costs and improve scalability, but stresses that their real-world impact is still to be proven.The Role of Renewable Energy and Storage: A major focus is on the rapid advancements in renewable energy, particularly solar power, and the associated need for effective storage solutions. Ziegler explains the dramatic drop in costs for lithium-ion batteries, making short-term energy storage more viable. However, he underscores the ongoing challenge of developing affordable long-term and seasonal storage technologies to support a 100% renewable energy system.Data Centers as Emerging Energy Consumers: The growing demand for electricity from data centers, especially those supporting AI technologies, is a significant trend discussed in the episode. Ziegler points out that data centers could consume up to 8-9% of total electricity in regions like Europe and the U.S. by 2030, driven by the energy-intensive nature of AI computations. This shift necessitates innovative approaches to grid connectivity and efficiency.Decentralization vs. Centralization in Grid Design: The debate over centralized versus decentralized energy systems is a recurring theme. Ziegler explains how historical constraints on communication bandwidth led to resilient, distributed architectures in power grids. He advocates for hybrid systems that balance centralized control with localized decision-making, drawing inspiration from biological systems like the human body for their adaptability and resilience.The Global Energy Transition and Geopolitical Risks: The episode explores the geopolitical dimensions of the energy transition, including dependencies on materials like lithium and solar panel production concentrated in regions like China. Ziegler argues that while local renewable energy generation reduces reliance on external energy sources, the global supply chain for components remains a vulnerability. He also emphasizes the need for greater resilience and strategic planning to navigate potential disruptions.

On today's show, we chat with Kal Walkden, the Vice President of Product Engineering at Double Good. Double Good's virtual fundraising app connects teams with their supporters to help athletes, coaches, and students raise funds through popcorn sales. Focusing on seamless ease-of-use for both the fundraisers and their supporters, Double Good turns online snack sales into “uniforms, safety pads, cleats, calculators, test tubes, travel opportunities, and brand new experiences.”Kal's extensive expertise in product and technology leadership has been vital in advancing Double Good's mission. He talks to Innovation and the Digital Enterprise about how Double Good's virtual platform flourished during the pandemic, a key pivot during a moment that challenged traditional in person fundraising. Kal explains the significance of user-centered design, and the adoption of the Spotify engineering model to enhance his team's efficiency. We talk hiring practices, core values, future growth strategies, and how Kal's 25+ years of hands-on leadership has successfully shaped tech-driven organizations.(00:25) Meet Kal Walkden: VP of Product Engineering at Double Good(01:13) Double Good's Journey and Success(06:09) The Spotify Engineering Model(13:51) Implementing the Spotify Model at Double Good(19:38) Challenges and Future GoalsKal Walkden is the Vice President of Product Engineering at Double Good. His past roles include Chief Technology Officer at Paladin; Head of Engineering at HelloFresh; CTO at Lextegrity; CTO at ForeverCar. He currently serves as a mentor at Code Platoon. He holds a Bachelors in Computer Engineering and a Masters in Parallel and Distributed Computing both from Northwestern University. If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise in Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show.Podcast episode production by Dante32.

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, Jensen Huang, CEO of NVIDIA, makes a guest appearance. In Bill's absence, Brad is joined by Clark Tang (Partner at Altimeter) as they discuss with Jensen scaling intelligence towards AGI, the acceleration of machine learning, NVIDIA's competitive advantages, the significance of inference alongside training, future market dynamics in the AI landscape, the impact of AI on various industries, the future of work, inference time reasoning, AI's potential to enhance productivity, the balance between open source and closed source, Elon's Memphis Supercluster, X.ai, OpenAI, the safe development of AI, & more. Enjoy another episode of BG2. Chapters (00:00) Introduction (1:50) The Evolution of AGI and Personal Assistants (06:03) NVIDIA's Competitive Moat (15:51 ) The Future of Inference and Training in AI (19:01) Building the AI Infrastructure (31:35) Inventing a New Market in an AI Future (38:40) The Impact of OpenAI (43:25) The Future of AI Models (46.44) X.ai and Memphis Supercluster (51:21) Distributed Computing and Inference Scaling (55:54) Inference Time Reasoning and Its Importance (01:00:46) AI's Role in Growing Business and Improving Productivity (01:08:00) Ensuring Safe AI Development (01:12:31) The Balance of Open Source and Closed Source AI #jensenhuang #nvidia #bradgerstner #billgurley #clarktang #xai #memphiscluster #elonmusk #noambrown #openai #gptstrawberry

In this episode of the Crazy Wisdom Podcast, Stewart Alsop welcomes John Hyde, founder of Turf, to discuss the fascinating intersection of decentralized technology and virtual worlds. John shares the origin story of Turf, a virtual world built on Urbit, and delves into his experiences as a developer navigating the unique challenges and opportunities that Urbit presents. The conversation also touches on topics such as the future of decentralized computing, the business potential of Turf, and even John's personal journey with Orthodox Christianity. For those interested in following John's work, you can find updates on Twitter at @turf_on_urbit, or join the Turf group on Urbit. Additionally, John hosts "Turf Time" every Thursday at 1 PM Pacific, where participants can engage in discussions and explore new features in Turf.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:37 What is Turf?02:19 John Hyde's Journey into Development03:37 Challenges and Frustrations with Hoon14:08 Orthodox Christianity and Mysticism19:01 Future of Urbit and Turf's Business Potential27:28 Guest Introduction and Initial Discussion27:53 Building a Marketplace in Brazil29:51 Challenges and Successes in Business31:09 User Statistics and Platform Growth33:28 The Philosophy of Social Networks35:12 The Future of Distributed Computing37:17 Generational Perspectives on Technology41:17 The Tech Scene in the Bay Area41:56 Funding and Business Costs47:30 Product Roadmap and Development48:29 Technical Aspects and Tools52:51 Closing Remarks and Contact InformationKey InsightsThe Origins of Turf: Turf is a virtual world built on Urbit, designed by John Hyde, who was inspired by the idea of creating a multiplayer game where users could program their own items. This evolved into Turf, a decentralized platform where users can create, customize, and explore virtual spaces, reflecting the ethos of the Urbit ecosystem.Urbit as a Decentralized Platform: Urbit is not just another computing platform; it represents a complete reimagining of the internet's infrastructure. John explains how Urbit aims to replace the current centralized internet model with a decentralized one, giving users more control over their data and interactions. This decentralized nature is what makes platforms like Turf possible, where users can interact and transact without relying on centralized servers.Challenges in Hoon Programming: John discusses the unique challenges of programming in Hoon, Urbit's native language. While Hoon offers powerful capabilities for building secure and efficient applications, it also presents a steep learning curve, particularly due to its unconventional syntax and limited documentation. Despite these challenges, John sees potential in Hoon for creating robust, decentralized applications.Orthodox Christianity and Modern Technology: John, who was born and raised in the Orthodox Christian faith, touches on the interesting trend of Westerners converting to Orthodox Christianity. He connects this to a broader search for truth and tradition in a fragmented, digital world, seeing parallels between the decentralized, self-sovereign nature of Urbit and the spiritual grounding provided by his faith.Building a Business on Urbit: John is optimistic about Turf's business potential, particularly through the sale of virtual items. He envisions a marketplace within Turf where users can trade items, leveraging the decentralized nature of Urbit to ensure authenticity and ownership. This business model reflects the growing interest in digital ownership and NFTs in virtual environments.The Future of Urbit: John is hopeful but cautious about the future of Urbit. He believes that while the technology has the potential to revolutionize the internet, its success depends on continued innovation, improved usability, and sustained financial support. He also emphasizes the need for more user-friendly applications like Turf to drive adoption.The Cultural Impact of Urbit: The conversation highlights how Urbit is fostering a new kind of online community, where quality interaction and thoughtful engagement are prioritized over mass adoption. John observes that while the Urbit community is still relatively small, it is growing steadily, attracting people who value the platform's decentralized principles and the opportunity to participate in building a new internet paradigm.

In this episode, Conor and Bryce chat with Kevlin Henney about the top recommendation from 97 Things Every Programmer Should Know.Link to Episode 194 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-08-0997 Things Every Programmer Should Know (GitHub)97 Things Every Programmer Should KnowPattern-Oriented Software Architecture: A Pattern Language for Distributed Computing, 4th VolumePattern Oriented Software Architecture Volume 5: On Patterns and Pattern LanguagesEffective C++ Series by Scott MeyersBeautiful C++: 30 Core Guidelines for Writing Clean, Safe, and Fast CodeIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Bryce chats with Kevlin Henney about Kevlin Henneys.Link to Episode 193 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-08-02HPXIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode of the Crazy Wisdom Podcast, Stewart Alsop hosts Scott Stevenson, co-founder and CEO of Spellbook, for a dynamic conversation. Scott shares insights about his background in Newfoundland, the inspiration he draws from nature, and the impact of remote work technologies like Starlink. They discuss Spellbook's pioneering use of generative AI for legal document review, the distinctions between structured and unstructured data, and the potential for AI to democratize legal services. Scott also explores the philosophical questions around AI consciousness and the concept of idealism, touching on the future of distributed computing and the legal industry's evolution. Tune in for a thought-provoking discussion on technology, business, and philosophy. For more on Scott and Spellbook, visit Spellbook.Check out this GPT we trained on the conversation!Timestamps00:00 - Introduction to Scott Stevenson, his background in Newfoundland, and the influence of nature on his ideas and work.05:00 - Discussion on remote work, AI, and the concept of working from remote places with technologies like Starlink.10:00 - Explanation of Spellbook's mission to help lawyers with document review and drafting using generative AI, and the challenges faced in legal tech.15:00 - The difference between structured and unstructured data, and how Spellbook addresses these challenges for lawyers.20:00 - The impact of AI on the legal field, and the potential for AI to make legal services more accessible to everyone.25:00 - Stevenson's experiences with starting companies and dealing with high legal costs, leading to the founding of Spellbook.30:00 - Challenges of combining intuition and narrative-based reasoning in business decisions, and the importance of pattern matching.35:00 - Discussion on the consciousness of AI, the philosophical question of what it means to be conscious, and Stevenson's stance on idealism.40:00 - Reflections on distributed computing, peer-to-peer models, and the challenges in building such systems.45:00 - Future of Spellbook and the legal industry, ethical considerations in providing legal AI tools, and the regulatory landscape.Key Insights1-Nature as Inspiration: Scott Stevenson emphasizes how the natural beauty and solitude of Newfoundland serve as a constant source of ideas and innovation for his work. His daily walks in nature help him outmaneuver competition and think in original ways, demonstrating the importance of a natural environment in fostering creativity.2-Evolution of Remote Work: The discussion highlights the transformative impact of remote work technologies like Starlink. Scott envisions a future where professionals can work from virtually anywhere, including remote locations like Patagonia, without sacrificing productivity or connectivity, showing the potential for a new era of work-life balance and flexibility.3-AI's Role in Legal Services: Spellbook's pioneering use of generative AI for legal document review and drafting is a significant advancement in legal tech. Scott explains how this technology helps lawyers handle unstructured text, particularly in contracts, making legal services more efficient and accessible, potentially transforming the legal industry.4-Challenges of Structured vs. Unstructured Data: The conversation clarifies the difference between structured and unstructured data. Scott describes how most software is designed to handle structured data, like databases, while unstructured data, such as legal contracts, poses unique challenges that AI can help overcome by understanding and manipulating text similarly to how a human would.5-Accessibility of Legal Services: One of Scott's primary motivations for founding Spellbook is to make legal services more accessible to small businesses and individuals who traditionally cannot afford them. By leveraging AI, Spellbook aims to reduce the cost and complexity of legal processes, democratizing access to legal assistance.6-Philosophical Inquiry into AI Consciousness: The episode delves into the philosophical question of whether AI can be conscious. Scott, a metaphysical idealist, believes that while AI can simulate human-like reasoning and narrative generation, it lacks true consciousness. This perspective challenges listeners to consider the deeper implications of AI in society.7-Balancing Narrative and Intuition in Business: Scott discusses the importance of balancing narrative-based reasoning with intuitive pattern matching in business decisions. He explains how successful companies navigate both the social and material realities, using intuition and empirical data to make informed decisions, a practice that has significantly contributed to Spellbook's growth and success.

In this episode, Bryce chats with Kevlin Henney about systems programming and more.Link to Episode 192 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-07-26Kevlin Henney ACCU 2024 TalkIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce chat with Kevlin Henney about algorithms, libraries and many programming languages!Link to Episode 191 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-07-19FortranCoarray FortranPascal LanguagepytestNumPyPython pipRust cargoRust crates.ioIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce chat with Kevlin Henney about C++, Python and more!Link to Episode 190 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)TwitterADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the GuestKevlin Henney is an independent consultant, speaker, writer and trainer. His software development interests are in programming, practice and people. He has been a columnist for various magazines and websites. He is the co-author of A Pattern Language for Distributed Computing and On Patterns and Pattern Languages, two volumes in the Pattern-Oriented Software Architecture series, and editor of 97 Things Every Programmer Should Know and co-editor of 97 Things Every Java Programmer Should Know.Show NotesDate Recorded: 2024-07-11Date Released: 2024-07-12When zombies attack! Bristol city council ready for undead invasionACCU Conference97 Things Every Programmer Should Know (GitHub)97 Things Every Programmer Should Know97 Things Every Java Programmer Should KnowC++Now 2018: Ben Deane “Easy to Use, Hard to Misuse: Declarative Style in C++”When to Use a List Comprehension in PythonIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Lachlan Phillips, founder of LiveMind AI, for a compelling conversation about the implications of decentralized AI. They discuss the differences between centralized and decentralized systems, the historical context of centralization, and the potential risks and benefits of distributed computing and storage. Topics also include the challenges of aligning AI with human values, the role of supervised fine-tuning, and the importance of trust and responsibility in AI systems. Tune in to hear how decentralized AI could transform technology and society. Check out LiveMind AI and follow Lachlan on Twitter at @bitcloud for more insights. Check out this GPT we trained on the conversation! Timestamps 00:00 Introduction of Lachlan Phillips and discussion on decentralized AI, comparing it to human brain structure and the World Wide Web. 00:05 Further elaboration on decentralization and centralization in AI and its historical context, including the impact of radio, TV, and the internet. 00:10 Discussion on the natural emergence of centralization from decentralized systems and the problems associated with centralized control. 00:15 Comparison between centralized and decentralized systems, highlighting the voluntary nature of decentralized associations. 00:20 Concerns about large companies controlling powerful AI technology and the need for decentralization to avoid issues similar to those seen with Google and Facebook. 00:25 Discussion on Google's centralization, infrastructure, and potential biases. Introduction to distributed computing and storage concepts. 00:30 Lachlan Phillips shares his views on distributed storage and mentions GunDB and IPFS as examples of decentralized systems. 00:35 Exploration of the relationship between decentralized AI and distributed storage, emphasizing the need for decentralized training of AI models. 00:40 Further discussion on decentralized AI training and the potential for local models to handle specific tasks instead of relying on centralized infrastructures. 00:45 Conversation on the challenges of aligning AI with human values, the role of supervised fine-tuning in AI training, and the involvement of humans in the training process. 00:50 Speculation on the implications of technologies like Neuralink and the importance of decentralizing such powerful tools to prevent misuse. 00:55 Discussion on network structures, democracy, and how decentralized systems can better represent collective human needs and values. Key Insights Decentralization vs. Centralization in AI: Lachlan Phillips highlighted the fundamental differences between decentralized and centralized AI systems. He compared decentralized AI to the structure of the human brain and the World Wide Web, emphasizing collaboration and distributed control. He argued that while centralized AI systems concentrate power and decision-making, decentralized AI systems mimic natural, more organic forms of intelligence, potentially leading to more robust and democratic outcomes. Historical Context and Centralization: The conversation delved into the historical context of centralization, tracing its evolution from the era of radio and television to the internet. Stewart Alsop and Lachlan discussed how centralization has re-emerged in the digital age, particularly with the rise of big tech companies like Google and Facebook. They noted how these companies' control over data and algorithms mirrors past media centralization, raising concerns about power consolidation and its implications for society. Emergent Centralization in Decentralized Systems: Lachlan pointed out that even in decentralized systems, centralization can naturally emerge as a result of voluntary collaboration and association. He explained that the problem lies not in centralization per se, but in the forced maintenance of these centralized structures, which can lead to the consolidation of power and the detachment of centralized entities from the needs and inputs of their users. Risks of Centralized AI Control: A significant part of the discussion focused on the risks associated with a few large companies controlling powerful AI technologies. Stewart expressed concerns about the potential for misuse and bias, drawing parallels to the issues seen with Google and Facebook's control over information. Lachlan concurred, emphasizing the importance of decentralizing AI to prevent similar problems in the AI domain and to ensure broader, more equitable access to these technologies. Distributed Computing and Storage: Lachlan shared his insights into distributed computing and storage, citing projects like GunDB and IPFS as promising examples. He highlighted the need for decentralized infrastructures to support AI, arguing that these models can help sidestep the centralization of control and data. He advocated for pushing as much computation and storage to the client side as possible to maintain user control and privacy. Challenges of AI Alignment and Training: The conversation touched on the difficulties of aligning AI systems with human values, particularly through supervised fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Lachlan criticized current alignment efforts for their top-down approach, suggesting that a more decentralized, bottom-up method that incorporates diverse human inputs and experiences would be more effective and representative. Trust and Responsibility in AI Systems: Trust emerged as a central theme, with both Stewart and Lachlan questioning whether AI systems can or should be trusted more than humans. Lachlan argued that ultimately, humans are responsible for the actions of AI systems and the consequences they produce. He emphasized the need for AI systems that enable individual control and accountability, suggesting that decentralized AI could help achieve this by aligning more closely with human networks and collective decision-making processes.

In this episode of the Crazy Wisdom Podcast, Stewart Alsop interviews Nader Khalili, the CEO and Co-founder of BrevDev, a company making it easier to use GPUs for machine learning applications. They delve into the details of BrevDev's work, discussing AI infrastructure, the advantages of fine-tuning over training AI models from scratch, and the evolution of user experience with AI systems. Khalili shares insights about CUDA, a software suite used to leverage GPUs' power, and details how BrevDev simplifies this process. They also compare the work processes and results of remote vs non-remote work teams and share thoughts about future developments in AI. The broad spectrum of AI software applications is touched upon, highlighting the potential benefits for businesses. If you are a subscriber to GPT4 check out this GPT we trained on the episode TImestamps 00:00 Introduction to the Crazy Wisdom Podcast 00:40 Guest Introduction: Nader Khalil, CEO of BrevDev 00:49 Understanding BrevDev and its Role in GPU Usage 01:40 Deep Dive into CUDA and its Importance in AI Applications 02:40 Exploring the Challenges and Opportunities in AI Development 03:37 The Intricacies of Distributed Computing and Programming 05:12 The Role of Abstraction in Engineering and AI 06:46 BrevDev's Approach to Simplifying GPU Configuration 07:50 The Future of Fine Tuning and AI Development 11:05 The Impact of AI on Business and Software Development 22:00 The Role of Notebooks in Machine Learning and AI 24:04 Addressing Infrastructure Problems in Tech 24:21 The Challenges of Accessing GPUs 25:06 The Art of Model Training and Optimization 26:27 The Evolution of GPU Production 28:09 The Role of GPUs in Model Training 32:10 The Impact of AI on Business 33:38 The Vibrant Tech Scene in San Francisco 41:01 The Future of Deep Tech and AI 43:32 Closing Remarks and Contact Information Key Insights Simplifying GPU Use with BrevDev: BrevDev focuses on making GPUs easily accessible and usable for various purposes, especially in AI and machine learning. The platform connects to different data centers, manages hardware requirements, and sets up necessary environments like CUDA and Python versions, essentially abstracting the complexities of configuring GPUs for end-users. Understanding CUDA: CUDA (Compute Unified Device Architecture) is pivotal for AI applications as it allows for more powerful operations on NVIDIA GPUs. Nader explains CUDA as a low-level, highly capable software suite that can be challenging for application developers used to working at higher abstraction levels. Evolution of AI Applications: The conversation touches upon the Cambrian explosion in AI, emphasizing that the current boom isn't just about more noise from existing AI practitioners but a significant expansion, including application developers transitioning to AI development. The key challenge is the abstraction layers and ensuring that application developers can work without needing to understand the lower-level intricacies like CUDA. Business Philosophy and Team Dynamics in Startups: Nader discusses the importance of having a close-knit, collaborative team, especially when dealing with complex and rapidly evolving technologies. He emphasizes the preference for in-person collaboration in the early stages of a startup to facilitate better information flow and decision-making. Fine-tuning vs. Training AI Models: The podcast sheds light on the distinction between training AI models from scratch and fine-tuning existing models. Fine-tuning is presented as a more accessible entry point for businesses looking to leverage AI, focusing on how businesses can use their unique data to enhance pre-trained models for specific applications. Future of GPUs and Computational Infrastructure: Nader talks about the advancements in GPU technology, like the transition from A100s to H100s, and the challenges in accessing and utilizing these resources efficiently. He also hints at the potential shifts in computational infrastructure with new startups innovating in the GPU space. The Role of San Francisco in Tech Innovation: The podcast touches on the cultural and entrepreneurial dynamics of San Francisco, emphasizing how the city attracts and fosters a community of builders and innovators, particularly in the tech and AI sectors. Advent of Distributed Computing and Future Paradigms: There's a philosophical discussion about the future of computing, particularly around distributed, peer-to-peer, network-based software and the impact of machine learning models that can process and compress vast amounts of high-dimensional data.

Somehow, while watching Tom eat a sandwich, Chunga managed to equate Toms lunch to Kubernetes and containerization. Once again proving--Chunga is a genius. Tom says Kubernetes has its place and purpose, but it has fallen far short of the intense hype that surrounded it when it first came on to the scene. He remembers a time, back in 2015, when people boldy declared that "all infrastructure will be Kubernetes!" This is something that Tom has never believed. Furthermore, he says universal distributed computing is still a long way from being realized.  Why is that? After all this time and evolution, one would think that distributed computing, and data centers would be simple and common place in todays world. Tom has a singular reason why this is not the case. He also says that distrubuted computing is a unicorn, and going to remain so until this one, single, reason is standarized. What is it?  Listen NOW to find out! Get started using Salt in just a few minutes! Simplify your cloud with Idem Project!

In this episode of InTechnology, Camille gets into AI distributed computing with Chris Kelly, Vice President of the Client Computing Group and General Manager of Platform Software Definition and Strategy at Intel. They talk about the evolution of AI into distributed computing models, Moore's Law, developments in chip production and transistor size reduction, the future of client computing, and the rising AI PC era. The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.

The global distributed cloud market size in terms of revenue was reasonably estimated at $4.4 billion in 2022 and is anticipated to rise to $11.2 billion by 2027, presenting a CAGR of 20.6% according to Markets and Markets research. While it's still a fraction of the public cloud market size, distributed cloud is increasingly growing in popularity. Even though the hype is relatively new, distributed cloud is actually an operational trend from the past, reemerging as new technologies reinvigorate a previously dormant model. It's a re-imagined, better, more flexible version of the distributed systems from 50+ years ago. Distributed cloud has an impact on nearly every industry, fueling innovative use cases and creating a newly empowered edge primed to deliver transformative business value through new revenue streams or business models.What is all the hype around distributed cloud? How can distributed cloud and edge computing benefit your industry? 

“Software development has not caught up with the internet age.” So says this week's guest, Rúnar Bjarnason. But what does that mean? What would a programming language for the internet age look like?Rúnar's answer is Unison. A language that completely rethinks the way distributing computing can work, from the source code up. Borrowing some key ideas from git, it challenges the way we think about code-sharing, compilation, versioning and more. --Kris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Rúnar on Twitter: https://twitter.com/runaroramaRúnar's book, Function Programming in Scala: https://amzn.to/46I9jewUnison website: https://unison-lang.orgComplete and Easy Bidirectional Typechecking for Higher-Rank Polymorphism (pdf): https://www.cl.cam.ac.uk/~nk480/bidir.pdfDo Be Do Be Do (pdf): https://arxiv.org/pdf/1611.09259.pdfRúnar's Øredev conference talk: https://youtu.be/EgIVzOobD48Cloud icons created by Freepik - Flaticon: https://www.flaticon.com/free-icons/cloudComputer icons created by xnimrodx - Flaticon: https://www.flaticon.com/free-icons/computer

Josef Tětek joins me to discuss the relationship between the Austrian School of Economics with Bitcoin, the impact of time preference, and the non-state properties of Bitcoin. Josef Tětekis an author and a podcaster. He works as a Bitcoin Analyst at SatoshiLabs. // GUEST // Twitter: https://twitter.com/SatsJoseph Articles: https://bitcoinmagazine.com/authors/josef-tětek Podcast: http://stackuj.cz/// SPONSORS // In Wolf's Clothing: https://wolfnyc.com/Gold Investment Letter: https://www.goldinvestmentletter.com/ iCoin Hardware Wallet (use discount code BITCOIN23): https://www.icointechnology.com/ Wasabi Wallet: https://wasabiwallet.io/ Casa (use discount code BREEDLOVE): https://keys.casa/ Bitcoin Apparel (use discount code BREEDLOVE): https://thebitcoinclothingcompany.com/ Feel Free Tonics (use discount code BREEDLOVE): https://botanictonics.com Carnivore Bar (use discount code BREEDLOVE): https://carnivorebar.com/ // OUTLINE // 00:00 - Coming up 00:51 - Intro 02:24 - Helping Lightning Startups with In Wolf's Clothing 03:10 - Introducing Josef Tětek 03:30 - Quick Background and Path into Bitcoin 04:44 - Orange Pill Moment 05:25 - Relationship of the Austrian School of Economics with Bitcoin 09:35 - No Supercomputer can Replace the Pricing System 12:26 - Distributed Computing vs. Centralized Computing 14:40 - Emergent Pricing vs. Central Planning 17:10 - The Immutable Laws 18:31 - Secure Your Bitcoin Stash with the iCoin Hardware Wallet 19:27 - Maximize Your Profits with Gold Investment Letter 20:24 - Time Preference and its Connection to Money 26:43 - Positive Consequences of Low Time Preference 28:50 - Monetary History: From Gold to Bitcoin 33:48 - Problems of the Gold Standard 35:21 - The Intangibility of Bitcoin 36:02 - A Bitcoin Wallet with Privacy Built-In: Wasabi Wallet 36:54 - Hold Bitcoin in the Most Secure Custody Model with Casa 37:42 - Bitcoin: Separation of Money and State 42:16 - Attributes that Make Bitcoin a Non-State Money 44:01 - Why Bitcoin Only 47:43 - Ten Commandments of Bitcoin 51:04 - How to Find Josef's Work// 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/25LPvm8EewBGyfQQ1abIsE? RSS Feed: https://feeds.simplecast.com/MLdpYXYI// SUPPORT THIS CHANNEL // Bitcoin: 3D1gfxKZKMtfWaD1bkwiR6JsDzu6e9bZQ7 Sats via Strike: https://strike.me/breedlove22 Sats via Tippin.me: https://tippin.me/@Breedlove22 Dollars via Paypal: https://www.paypal.com/paypalme/RBreedlove// WRITTEN WORK // Medium: https://breedlove22.medium.com/ Substack: https://breedlove22.substack.com/// SOCIAL // Breedlove Twitter: https://twitter.com/Breedlove22 WiM? Twitter: https://twitter.com/WhatisMoneyShow LinkedIn: https://www.linkedin.com/in/breedlove22Instagram: https://www.instagram.com/breedlove_22 TikTok: https://www.tiktok.com/@breedlove22 All My Current Work: https://vida.page/breedlove22

Tym razem o aktualności fallacies of distributed computing, czyli systemy rozproszone Czy ww. tezy są wciąż aktualne? Sprawdźcie, jak weryfikują je Patoarchitekci! Nasze sociale i linki Materiały do odcinka

In this episode, Farzan discusses distributed computing and how it takes multiple computers work together to solve a large problem. This makes an entire network of computer appear as a single entity as it provides large-scale resources to enable advanced computations. In the context of blockchains, distributed computing is vital for running of the virtual machine (e.g., Ethereum Virtual Machine) which enables dapps, but also required for acheiving consensus across the network. When applied to AI, models needs to be trained, most individuals do not have the local resources to train large model and instead rely on third-party cloud providers to enables this computations. Through distributed computing this training can be executed through the blockchains where patricipants 'rent' their spare computing power and bid for data processing jobs. Twitter - https://twitter.com/FarzanAkhtar1  Podcast - https://www.blockchainandbeyond.co.uk/  Youtube - https://www.youtube.com/channel/UCpxhLjdOdi5oiOG2nRIgsTQ/featured

Join us for another episode of the BOINC Radio where we talk about what other platforms like BOINC exist out there!

Para el primer episodio de Digitalizados del 2023 tenemos como invitado a Sergio Rajsbaum investigador en el Instituto de Matemáticas de la Universidad Nacional Autónoma de México. Con Sergio hablamos sobre Cómputo Distribuido o Descentralizado, un modelo informático que, sin darnos cuenta, usamos todos los días. Con gran claridad, nuestro invitado nos describe los principios de estos modelos así como sus diferencias con el cómputo paralelo.  A lo largo de la plática podemos apreciar temas centrales como lo es la tolerancia a fallas y la coordinación de procesos. En efecto la implementación de estos modelos requieren de la resolución de problemas matemáticos sumamente interesantes como por ejemplo aquellos relacionados con el blockchain o cadena de bloques. Sergio Rajsbaum estudió Ingeniería en Computación en la UNAM, y doctorado en Ciencias de la Computación en el Instituto Tecnológico de Israel-Technion. Ha realizado estancias de investigación en MIT, los Laboratorios de Investigación de HP, IBM, Universidad de Toronto, Universidad de Paris, entre otras. Es actualmente investigador en el Instituto de Matemáticas de la UNAM, del cual fue Secretario Académico. Pertenece al nivel III del Sistema Nacional de Investigadores desde 2001. Premio Nacional de Computación 2022.Su área principal de investigación es la teoría matemática de la computación, enfocada a sistemas distribuidos. Ha publicado más de 100 artículos de investigación principalmente en computación distribuida, y su libro Distributed Computing through Combinatorial Topology (Elsevier). Ha sido miembro del Comite Editorial de las revistas IEEE Transactions on Dependable and Secure Computing, Elsevier Information Processing Letters, Elsevier  Computer Science Review. Reconocido en la Gaceta de la UNAM como uno de los investigadores más citados de la UNAM. Sus contribuciones a la docencia se reflejan en su libro Conocimientos Fundamentales de Computación, en la dirección de 13 tesis de licenciatura, 34 de maestría y 6 de doctorado.NOTA: El autor de la fotografía usada en el "artwork" es Sébastien Tixeuil, a quien corresponden todos los derechos.

Kexin's story is a great demonstration that sometimes building a career in tech is more about seeing and taking the opportunities placed before you rather than having a pre-planned series of steps to follow. In this episode we talked about: Intro and College in Australia Freelancer Learning in Industry Machine Learning at scale Distributed Computing Hiring for Distributed Computing roles Culture: China, Australia, USA Role of Software Architect Advice on finding the first role Closing Questions You can find and follow Kexin on LinkedIn, Twitter and Github --- Send in a voice message: https://anchor.fm/data-and-dev/message

On The Cloud Pod the team reviews the multi-billion-dollar DOD contract formerly known as Jedi awarded to big tech companies; Microsoft buys a stake in LSE, raising questions; Werner shares his 2023 tech predictions and posts the Distributed Computing manifesto to his blog; and lastly, at Azure, Bell hits bumps while trying to make Microsoft safer. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Podcast with Gautam Siwach and Jin Vanstee !Speaker - Daniel joined IBM in 2004 to work with Linux and then diversified to other Unix platforms, like Solaris, HP-UX and IBM AIX. In 2007, Daniel was responsible for configuring and secure the first Cloud Environment at IBM when we started selling a shared virtual infrastructure to smaller customers. Daniel started consulting across whole Latin America in 2009. In 2015 he came to New York to be WW Architect for Financial Sector on Distributed Computing and started working with Kubernetes in 2016. Today he is the Worldwide SME for application modernization on OpenShift on IBM Systems.What is application Modernization ?How does underlying infrastructure effects the application modernization journey ?Why is Open Shift important for application modernization workloads ?

This episode of Over the Edge features an interview between Matt Trifiro and Dr. Robert Blumofe is Executive Vice President and Chief Technology Officer at Akamai. As CTO, he guides Akamai's technology strategy to assess new market opportunities and new platforms for innovation, explore adjacent segments for the business, influence the development of standards, work with Akamai's largest customers, and convene technology leaders within the company to catalyze innovation and represent Akamai's technology vision in the marketplace.In this episode, Dr. Blumofe explains how Akamai revolutionized content delivery networks and continues to evolve and expand its services. He discusses internet growth, adapting to a more robust virtual world, and important considerations for security. Dr. Blumoff also talks about how AI and ML will help shape the future of our cities. ---------Key Quotes:“More and more traffic to and from devices, that does create some interesting problems. You know, one is just the basic problem of scale. You now have more and more traffic from more and more locations. And, so we continue to see a world in which the internet, the volume of traffic continues to grow leaps and bounds, and the importance of the edge continues to grow.”“Security and reliability get built by layering on top of the internet protocol, not by modifying the internet protocol itself. You layer on top and the power of layering can't be overstated.”“While edge computing is great, when you look at all of the microservices that make up an application, I don't think there's many cases where you could say that they all belong at the edge, or that they all belong at the core.“For a modern application, multiple microservices, you really want to be thinking about for each microservice, where does it belong? Does it belong at the edge? Does it belong at the core? Does it belong somewhere in between?”“At this point, the cost of connectivity is so low that anything that gets any benefit from being connected well, you might as well connect it.”“It's a whole spectrum. It's not a one size fits all. But I think increasingly applications need to have at least some component running at, or very near the edge. The core alone really just doesn't solve it.”"The dramatic change from IoT really is as much on the security side as it is from the scale and the importance of the edge.”---------Show Timestamps:(02:45) Being Jack Benny's Grandson and Getting into Technology(05:20) First Memory of the Internet and Career Path(10:45) Relationship Between Mathematics and Distributed Computing(12:30) Akamai Journey(14:45) What Akamai Does and the Start of CDNs(21:30) How CDNs and Work(27:30) Akamai Server and CDN Structure(31:00) Akamai's Expanding Services and Evolution(35:30) Akamai's Acquisition of Linode(37:00) Edge vs. Core(42:30) Akamai's Interconnection Fabric(44:30) Changes to Internet Traffic, Adaptation, and Security(47:00) Concept of a Bidirectional CDN(49:15) Network Security(53:00) Akamai Network Capacity(53:15) Most Exciting Innovations (remaking cities with AI and ML)--------Sponsor:Over the Edge is brought to you by Dell Technologies to unlock the potential of your infrastructure with edge solutions. From hardware and software to data and operations, across your entire multi-cloud environment, we're here to help you simplify your edge so you can generate more value. Learn more by visiting DellTechnologies.com/SimplifyYourEdge for more information or click on the link in the show notes.--------Links:Follow Matt on TwitterConnect with Dr. Blumofe on LinkedInwww.CaspianStudios.com

In today's episode of Pitch Cafe, we have Sanjay Sawhney, Co-founder of Tala Security (3 successful STARTUP EXITS). He is an experienced engineering leader and entrepreneur with a 20+ year background in software, security, storage, and networking.

Udi Dahan is one of the world's foremost experts on Service-Oriented Architecture and Domain-Driven Design and is also the creator of NServiceBus; the most popular service bus for .NET. Udi joined us back on Episode 32 to discuss Microservices.   Topics of Discussion: [2:47] Udi talks about some of the changes, and similarities, in distributed computing in the last five years as well as generational differences to approach learning. [11:27] Udi defines what a service mesh is and when it's applicable. [14:46] Udi discusses his concerns regarding using a service mesh and common problems encountered. [22:28] With most of the new generation of programmers using Web service-based programming, what does Udi think they need to hear? [27:50] Why Udi thinks the larger companies and vendors need to take more responsibility and “do more good.” [32:48] Udi shares more on NServiceBus's offerings and functionality and why developers need to learn more. [36:36] Are there any pieces of NServiceBus that will need more than just a .NET standard support?   Mentioned in this Episode: Architect Tips — New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! Jeffrey Palermo's YouTube Jeffrey Palermo's Twitter — Follow to stay informed about future events! Particular Software — NServiceBus Episode 32 — Microservices   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.   Quotes: “Every generation of programmers needs to relearn kind of the same points over again.” — Udi [3:51] “We're still essentially coming up with new generations of technologies that are addressing the same category of problems.” — Udi [6:16] “The problem is not rooted in what do they need to hear so much as who do they need to hear it from.”— Udi [23:51] “If you know a thing, if you can help, then you should.” — Udi [29:47] “NServiceBus essentially takes all of the problems that you never want to have, and the challenges that most people don't know that they're going to have so they don't appreciate it until they have it, and essentially prevents them from happening.”— Udi [34:29] “That ounce of prevention is equivalent to a pound of cure.” — Udi [34:46]   Udi: Website | Twitter

For self-driving cars and other applications developed using AI, you need what's known as ‘deep learning', the core concepts of which emerged in the ‘50s.

We talk about how designing applications with lower friction points is a valuable goal. LiveView plays a powerful role in that mission. Mark pitches why he thinks it's time to take another look at LiveView if you haven't lately. We talk over some of the business benefits, efficiencies gained and we address some common reasons given for "why it can't work." We also cover some remaining areas of improvement for LiveView. Then we talk about how moving your servers closer to users removes additional friction both for deployment and application design. Mark shares how the fly_postgres library works and how it enables people to build "normal" Phoenix applications using Postgres read-replicas across multiple regions. A fun discussion! Show Notes online - http://podcast.thinkingelixir.com/89 (http://podcast.thinkingelixir.com/89) Elixir Community News - https://erlef.org/blog/eef/election-2022 (https://erlef.org/blog/eef/election-2022) – Erlang Ecosystem Foundation is holding elections soon. You can get involved! - https://gleam.run/news/gleam-v0.20-released/ (https://gleam.run/news/gleam-v0.20-released/) – Gleam 0.20 released - https://twitter.com/louispilfold/status/1496108145185337344 (https://twitter.com/louispilfold/status/1496108145185337344) – Gleam source code is recognized as a language on GitHub and gets syntax highlighting - https://twitter.com/louispilfold/status/1497320401461993473 (https://twitter.com/louispilfold/status/1497320401461993473) – Work has begun on a Gleam Language Server - https://github.com/DockYard/flame_on (https://github.com/DockYard/flame_on) – New performance analyzing library released by Dockyard called "flameon" - https://dockyard.com/blog/2022/02/22/profiling-elixir-applications-with-flame-graphs-and-flame-on (https://dockyard.com/blog/2022/02/22/profiling-elixir-applications-with-flame-graphs-and-flame-on) – Post explains more about the flameon library Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources - https://www.youtube.com/watch?v=IqnZnFpxLjI (https://www.youtube.com/watch?v=IqnZnFpxLjI) – Mark's 2021 Elixir Conf talk - https://github.com/readme/featured/server-side-languages-for-front-end (https://github.com/readme/featured/server-side-languages-for-front-end) – GitHub article "Move over JavaScript - Back-end languages are coming to the front-end" - https://utils.zest.dev/gendiff (https://utils.zest.dev/gendiff) – David's Phoenix version diffing tool - https://github.com/superfly/flyrpcelixir (https://github.com/superfly/fly_rpc_elixir) - https://github.com/superfly/flypostgreselixir (https://github.com/superfly/fly_postgres_elixir) - https://fly.io/docs/getting-started/elixir/ (https://fly.io/docs/getting-started/elixir/) - https://fly.io/docs/reference/regions/ (https://fly.io/docs/reference/regions/) - https://podcast.thinkingelixir.com/20 (https://podcast.thinkingelixir.com/20) – Caleb Porzio interview - https://plausible.io/ (https://plausible.io/) Find us online - Message the show - @ThinkingElixir (https://twitter.com/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen - @brainlid (https://twitter.com/brainlid) - David Bernheisel - @bernheisel (https://twitter.com/bernheisel) - Cade Ward - @cadebward (https://twitter.com/cadebward)

Over fifteen years ago I hosted a weekly radio show here in Atlanta called Technology for Business Sake. One of my earliest guests was Aaron Levie, co-founder and CEO of this online storage company Box.com. I remember having a fun conversation with him as we talked about a number of things, from entrepreneurship to what Box did to whatever came to mind back then. I even remember thinking why would anybody want to store their data files in the cloud…. Yeah, I have to admit to thinking that. But I know I wasn't the only one! Anyways, as great as that conversation was, and as successful as I watched Aaron and Box become from afar (Box is now publicly traded and has move way past just providing online storage to become a collaborative platform used by thousands of businesses), we haven't talked once since our initial conversation on my old radio show 14+ years ago. It goes without saying a lot has happened since then, and I was so glad to have caught up with Aaron recently for a LinkedIn Live conversation to talk about a number of different items, including how the future of work is being shaped by everything from the Internet, the metaverse and other recently emerging technologies.

The most innovative businesses in the world run on AWS. Top companies in every industry, from automobiles to healthcare to telecom, they all use AWS to build sophisticated applications that power the growth and future of their businesses.But with more than 250 products and services, keeping up with all of AWS's innovations—and making sure you are using them to their fullest potential—can be tricky.That's why we created this podcast: AWS Insiders.In each episode, we will explain how today's tech leaders can stay ahead of Amazon's constantly evolving pace of innovation. You'll hear from Amazon's top product managers as they detail their secrets and strategies to reduce costs, save time, and improve performance.You will also hear from top companies who are using AWS to drive incredible  innovation.We will share hands-on tips for making AWS easier and detail why AWS is the operating system of the future.Welcome to AWS Insiders: Secrets and strategies from the smartest minds in AWS.Hosted by AWS superfan and ESW Capital CTO Rahul Subramaniam, and powered by the team at CloudFix.AWS Insiders is available anywhere you get your podcasts.

researchgate.net/publication/357510448_Incentivizing_Energy_Efficiency_and_Carbon_Neutrality_in_Distributed_Computing_Via_Cryptocurrency_Mechanism_Design

https://www.researchgate.net/publication/357510448_Incentivizing_Energy_Efficiency_and_Carbon_Neutrality_in_Distributed_Computing_Via_Cryptocurrency_Mechanism_Design

CNCF wasmCloud helps developers to build distributed microservices in WebAssembly that they can run across clouds, browsers, and everywhere securely.   Segment Resources: - https://webassembly.org/ - https://wasmcloud.com/   Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw175

CNCF wasmCloud helps developers to build distributed microservices in WebAssembly that they can run across clouds, browsers, and everywhere securely.   Segment Resources: - https://webassembly.org/ - https://wasmcloud.com/   Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw175

Please join us in The BreakLine Arena for a conversation with Ali Ghodsi, CEO and Co-founder of Databricks.As Chief Executive Officer, Ali responsible for the growth and international expansion of the company. He previously served as the VP of Engineering and Product Management before taking the role of CEO in January 2016. In addition to his work at Databricks, Ali serves as an adjunct professor at UC Berkeley and is on the board at UC Berkeley's RiseLab.Ali was one of the original creators of open source project, Apache Spark, and ideas from his academic research in the areas of resource management and scheduling and data caching have been applied to Apache Mesos and Apache Hadoop. Ali received his MBA from Mid-Sweden University in 2003 and PhD from KTH/Royal Institute of Technology in Sweden in 2006 in the area of Distributed Computing.If you like what you've heard, please like, subscribe, or follow our show. To learn more about BreakLine Education, check us out at breakline.org.

ManicFlow Money Welcome to Manicflow Money: A simple approach to looking at the world we live in and what could be affecting our asset, saving, and retirement and choices. Here's what we have today. ********* Roger Wattenhofer Professor of Distributed Computing at ETH Zurich @rogwattenhofer on Twitter ********* Welcome to Manicflow Money A simple approach to looking at the world we live in & what could be affecting our asset, saving, and retirement choices. Here's what we have today. __________ Livecoin: https://livecoin.net/?from=Livecoin-DgeTAvsF Binance: https://accounts.binance.us/en/register?ref=35300979 Kucoin: https://www.kucoin.com/ucenter/signup?rcode=2KuaK7M Coinbase: https://www.coinbase.com/join/flower_zkt [website]: https://www.manicflow.com [shop]: https://teespring.com/stores/manicflow [donate]: https://www.paypal.com/paypalme/manicflow?locale.x= IG | Tw: @manicflow __________ NOT AN ADVISOR

This episode is sponsored by “The Chief IO”. The Chief I/O is the IT leaders' source for insights about DevOps, Cloud-Native, and other related topics. It's also a place where companies can share their stories and experience with the community. Visit www.thechief.io to read insightful stories from cloud-native companies or to submit yours. It's 2018 in Kubecon North America, a loud echo in the microphone, and then Ben Sigelman is on the stage. There is conventional wisdom that observing microservice is hard. Google and Facebook solved this problem, right? They solved it in a way that allowed Observability to scale to multiple orders of magnitude to suit their use cases. The prevailing assumption that we needed to sacrifice features in order to scale is wrong. In other words, the notion that people need to solve scalability problems as a tradeoff for having a powerful set of features is incorrect. People assume that you need these three pillars of Observability: metrics, logging, and tracing, and all of a sudden, everything is solved. However, more often than not, this is not the case. I'm Kassandra Russel, and today we are going to discuss Observability and why this is a critical day-2 operation in Kubernetes. Next, we will discuss the problems with Observability and leverage its three pillars to dive deep into some concepts like service level objectives, service level indicators, and finally, service level agreements. Welcome to episode 6! Moving from a world of monolithic to microservices world solved a lot of problems. This is true for the scalability of machines but also of the teams working on them. Kubernetes largely empowered us to migrate these monolithic applications to microservices. However, it made our applications distributed in nature. The nature of Distributed Computing added more complexity in how microservices interact. Having multiple dependencies in each one produces a higher overhead in monitoring. Observability became more critical in this context. According to some, Observability is another soundbite without much meaning. However, not everyone thought this way. Charity Majors, a proponent of Observability, defines it as the power to answer any questions about what's happening on the inside of the system just by observing the outside of the system, without having to ship new code to answer new questions. It's truly what we need our tools to deliver now that system complexity is outpacing our ability to predict what's going to break. According to Charity, you need Observability because you can “completely own” your system. You have the ability to make changes based on data you have observed from the system. This makes Observability a powerful tool in highly complex systems like microservices and distributed architectures. Imagine you are sleeping one night and suddenly your phone rings. --- Send in a voice message: https://anchor.fm/thedevopsfauncast/message Support this podcast: https://anchor.fm/thedevopsfauncast/support

Johannes Schweifer speaks about his company CoreLedger, the mechanics of tokenizing physical assets and overcoming the gap between physical assets and the digital world, current use cases of tokenized assets, legal and regulatory aspects, why you can't compare the blockchain era to the Internet era, best jurisdictions for running blockchain projects, and much more. Johannes is the Co-Founder and CEO of CoreLedger, which is building blockchain-based enterprise solutions that allow existing and new businesses to run on blockchains. He is the Co-Founder of Bitcoin Suisse and a Bitcoin and blockchain pioneer with more than 15 years of experience as a project manager and software architect for enterprises in the IT and financial sector. Johannes holds a Master's in Chemistry and a PhD in Distributed Computing and Quantum Chemistry from the University of Vienna.  Johannes Schweifer: https://www.linkedin.com/in/johannes-schweifer-6b7b6812 CoreLedger: https://www.coreledger.com, https://twitter.com/CoreLedger Also mentioned in the episode: Ambitorio: https://www.ambitorio.com, https://twitter.com/ambitorio This is a sponsored interview brought to you by CoreLedger. Many thanks to our sponsor! CoreLedger is a blockchain-based peer-to-peer transaction infrastructure provider. It enables businesses to document, tokenize and trade any type of assets in a reliable and flexible environment. CoreLedger makes anything transactable, literally anything. To learn more about CoreLedger's technology and how you can transform your business onto blockchain, visit http://www.coreledger.net. The Blockchain and Us newsletter To stay up to date about what blockchain pioneers, innovators and entrepreneurs from all around the world think about the future of this space, sign up for the newsletter at http://www.theblockchainandus.com.

Roger Wattenhofer speaks about how Bitcoin and blockchain technology entered academia, what we have learned in the ten years of the existence of blockchain technology, why the blockchain is an old idea, how companies collaborate with universities on blockchain research projects, voting on the blockchain, identity on the blockchain, why "nothing requires a blockchain", the challenge for Bitcoin sidechains, why many academic blockchain projects don't make the jump to the real world, things we're probably underestimating about cryptocurrencies, a thought experiment for bank accounts on a blockchain, how blockchains could improve democracies, and much more. Roger is a full professor at the Information Technology and Electrical Engineering Department at the Swiss Federal Institute of Technology (ETH) in Switzerland. His research interests are a variety of algorithmic and systems aspects in computer science and information technology, such as distributed systems, positioning systems, wireless networks, mobile systems, and social networks. His work received multiple awards, such as the Prize for Innovation in Distributed Computing, and he has also published the book “Distributed Ledger Technology: The Science of the Blockchain“. Roger Wattenhofer: https://www.linkedin.com/in/roger-wattenhofer-4466731/ Distributed Computing (DISCO) at ETH Zurich: https://disco.ethz.ch/members/wroger Book "Distributed Ledger Technology: The Science of the Blockchain": https://www.goodreads.com/book/show/28919062-the-science-of-the-blockchain Many thanks to our advertisers who support this podcast! This episode is brought to you by Crypto Storage. Crypto Storage offers a proprietary solution to enable Professional storage of Crypto Assets. The storage is secure both physically and digitally on the highest-grade hardware security modules with detailed configuration possibilities for individual - based access control. To learn more visit: www.cryptostorage.ch This episode is brought to you by Descartes Finance. Descartes is the leading Swiss digital wealth manager, providing its products and services to individuals, family offices, charitable organizations, banks, and asset managers. Its investment strategies lead the way. They harness the latest know-how as only a digital investment advisor can. To learn more, please visit www.descartes-finance.com.

Moore's Law -- putting more and more transistors on a chip -- accelerated the computing industry by so many orders of magnitude, it has (and continues to) achieve seemingly impossible feats. However, we're now resorting to brute-force hacks to keep pushing it beyond its limits and are getting closer to the point of diminishing returns (especially given costly manufacturing infrastructure). Yet this very dynamic is leading to "a Cambrian explosion" in computing capabilities… just look at what's happening today with GPUs, FPGAs, and neuromorphic chips. Through such continuing performance improvements and parallelization, classic computing continues to reshape the modern world. But we're so focused on making our computers do more that we're not talking enough about what classic computers can't do -- and that's to compute things the way nature does, which operates in quantum mechanics. So our smart machines are really quite dumb, argues Rigetti Computing founder and CEO Chad Rigetti; they're limited to human-made binary code vs. the natural reality of continuous variables. This in turn limits our ability to work on problems that classic computers can't solve, such as key applications in computational chemistry or large-scale optimization for machine learning and artificial intelligence. Which is where quantum computing comes in. But what is quantum computing, really -- beyond the history and the hype? And where are we in reaching the promise of practical quantum computers? (Hint: it will take a hybrid approach to get there.) Who are the players -- companies, countries, types of people/skills -- working on it, and how can a startup compete in this space? Finally, what will it take to get "the flywheel" of application development and discovery going? Part of the answer comes full circle to the same economic engine that drove previous computing advances, argues Chris Dixon; Moore's Law, after all, is more of an economic principle that combined the forces of capitalism, a critical mass of ideas, and people moving things forward by sheer will. Quantum computing is finally getting pulled into the same economic forces as well.

Lyle Shelton joins me from the Australian Christian Lobotomy. Richard Lane explains how an observatory works to study the universe. I bail up Tim Ferguson and Maynard at Skeptics In The Pub.