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  • AI koji je ograničen s razlogom: Claude 4.7, skriveni modeli i rat za infrastrukturu

    1 DAY AGO

    1

    AI koji je ograničen s razlogom: Claude 4.7, skriveni modeli i rat za infrastrukturu

    AI više nije samo pitanje tko ima najbolji model – nego tko kontrolira cijeli sustav iza njega. Dok Anthropic lansira najjači javno dostupni model Claude Opus 4.7, istovremeno skriva još moćnije verzije iza zatvorenih vrata. U ovoj epizodi analiziramo zašto se AI namjerno ograničava, kako investicije eksplodiraju i zašto se prava bitka seli na infrastrukturu._______________ 0:00 Uvod0:47 Claude pustio svoj najmoćniji model4:30 Google je predstavio nove AI čipove s kojima napada Nvidiju6:30 TPU business i DeepMind zajedno mogli vrijediti oko 900 milijardi dolara7:30 Globalno je uloženo 300 milijardi dolara u tech - 80% iznos uloženo je u AI10:30 Big Tech će potrošiti 665 milijardi dolara na izgradnju infrastruktureTOP I FLOP16:30 Deepseek traži investiciju17:30 Meta će pratiti aktivnosti svojih zaposlenika na računalu19:00 Apple dobiva novo vodstvo20:45 Znanost je toliko napredovala da smo dobili... svjetleće biljke _______________ 🎧 PRETPLATITE SE NA AUDIO VERZIJU PODCASTAApple Podcasts ► https://podcasts.apple.com/hr/podcast/netokracija-podcast/id1482239155Spotify ► https://open.spotify.com/show/1JeEKPdFXJopMUEPXucMUKPocket Casts ► https://pca.st/5e4ggi22 📨 PRIMAJTE NETOKRACIJA NEWSLETTERBesplatno u vašem inboxu ► https://netokracija.com/newsletter 🛎️ DOJAVITE VIJESTImate prijedlog ili želite dojaviti vijest ► info@netokracija.com 📱 PRATITE NETOKRACIJU NA DRUŠTVENIM MREŽAMAPratite nas na Twitteru ► http://twitter.com/netokracijaPratite nas na Instagramu ► http://instagram.com/netokracijaPratite nas na BlueSkyu ► https://bsky.app/profile/netokracija.bsky.socialLajkajte nas na Facebooku ► http://www.fb.com/netokracija 🤘 PRATITE SVOJE NETOKRATEIvan Brezak Brkan (IBB)https://www.ibb.wtfhttps://www.twitter.com/in/ivanbrezakbrkanhttps://linkedin.com/in/ivanbrezakbrkan Mia Biberovićhttp://www.twitter.com/cyberkozahttps://www.instagram.com/cyberkozahttps://www.linkedin.com/in/miabiberovic Nikolina Oršulićhttps://www.linkedin.com/in/nikolina-or%C5%A1uli%C4%87-81852531/ Antonija Bilić Ararhttps://www.linkedin.com/in/antoniijabilicarar/ Marin Pavelić https://www.linkedin.com/in/marin-paveli%C4%87-aba851174/

    1 day ago

    •
    23 min
  • Adding Links to Reels by Using Edits and Mark Zuckerburg is Creating an AI Clone

    18 APR

    2

    Adding Links to Reels by Using Edits and Mark Zuckerburg is Creating an AI Clone

    Instagram has expanded "Your Algorithm" to the Explore page, Threads is getting indented replies while the Threads web version is improving with DMs, the Edits app has the ability to add links to Reels, and Mark Zuckerburg is cloning himself so we technically shouldn't need CEOs anymore.   Links: Instagram: ‘Your algorithm’ feature to the Explore tab (Instagram Blog) Instagram: Limiting the number of Trial Reels (Threads) Instagram: Adding GIF notes (Threads) Threads: Indented Replies (Threads) Threads: Web Version Update (Threads) Edits: Add Links to Reels (Instagram) AI News: Meta builds AI version of Mark Zuckerberg to interact with staff  (The Financial Times)  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    18 Apr

    •
    11 min
  • Michael Perry: AI-assisted Development - Episode 397

    13 APR

    3

    Michael Perry: AI-assisted Development - Episode 397

    https://clearmeasure.com/developers/forums/ Michael Perry is a Director at Improving Enterprises and a self-described "Software Mathematician" who has spent his career applying mathematical principles to software development, drawing on the foundational work of thinkers like Bertrand Meyer, James Rumbaugh, and Donald Knuth. He is the author of "The Art of Immutable Architecture" and the creator and maintainer of Jinaga, an open-source immutable runtime framework for building collaborative and distributed applications in .NET and JavaScript. A former seven-year Microsoft MVP, Michael has produced multiple Pluralsight courses covering CQRS, XAML Patterns, Cryptography, and Provable Code,and is a frequent speaker at developer conferences across the country. At Improving, he helps enterprise clients harness the power of immutable architecture and software mathematics to build scalable, robust systems. Mentioned in this Episode LinkedIn Twitter / X (@michaellperry)  GitHub  Personal Site FactoryEngineering.dev roocode - plugin for VSCode - has subagents  Windsurf (AI Tool) Want to Learn More?  Visit AzureDevOps.Show for show notes and additional episodes.

    13 Apr

    •
    38 min
  • Google Part I: Origins of Search

    30/06/2025

    4

    Google Part I: Origins of Search

    We tell the story of the single greatest business ever created: Google search. From its origins as a Stanford research project called BackRub, Google became the front door to the internet. Today it’s an essential service for over half the world, and one that generates more profit than ANY other US company — more than Apple, Microsoft, or Berkshire Hathaway. But it wasn’t always so obvious. When Larry and Sergey began working on BackRub in 1996, search was a backwater industry in silicon valley. Existing search companies were eking out a living as vendors to the then-dominant “portals” like AOL and Yahoo. Google’s come-from-behind success was the result of three massive step-function leaps forward in algorithms, infrastructure and business model… some invented by Google and some borrowed (and perfected!) by them. Today, things are not so obvious once again for Google. Despite earning more profits than all of its big tech peers, its stock trades at significantly lower multiples — a $1 trillion or more discount to Apple, Microsoft and Nvidia. Investors are concerned that AI will render Google’s beautiful business model obsolete, even though Google also basically invented modern AI and continues to lead on many dimensions. This episode begins a multi-part series where we dive into the full history that led us to this point. Tune in and enjoy! Update: when you finish, check out our Google Part II episode, "Alphabet, Inc."! Sponsors: WorkOS: https://bit.ly/workos25Intapp: https://bit.ly/intappcelesteSentry: https://bit.ly/acquiredsentryAnthropic: https://bit.ly/acquiredclaude25Links: BackRub recreationOriginal Google logoJeff Dean’s resumeWorldly Partners’ Multi-Decade Alphabet StudyEpisode sourcesCarve Outs: The Rehearsal with Nathan Fielder (Season 2)Your Friends and NeighborsAndor Season 2Gamecraft Season 3Steam Deck vs Switch 2 dilemma More Acquired! Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Merch Store!© Copyright 2015-2026 ACQ, LLC ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    30/06/2025

    •
    3h 38m
  • 998: How to Fix Vibe Coding

    6 DAYS AGO

    5

    998: How to Fix Vibe Coding

    Wes and Scott talk about making AI coding more reliable using deterministic tools like fallow, knip, ESLint, StyleLint, and Sentry. They cover code quality analysis, linting strategies, headless browsers, task workflows, and how to enforce better patterns so AI stops guessing and starts producing maintainable, predictable code. Show Notes 00:00 Welcome to Syntax! Losing two clients in one week 04:49 Code quality tools jscpd.dev knip.dev fallow.tools wallace 14:11 Finding and using components Storybook AI 17:28 Brought to you by Sentry.io 17:42 Finding bugs Sentry CLI Spotlight 19:55 Formatting and linting Vite+ ESLint StyleLint clint 25:41 Headless browsers agent-browser chrome-devtools-mcp Lightpanda 32:11 Tasks and todos dex beads 33:32 Docs Context7 34:22 TanStack Code Mode 36:01 Getting AI to use these tools 38:18 Sick Picks + Shameless Plugs Sick Picks Scott: Leaf Two Razor Wes: Puzzles Shameless Plugs Phases.fm Podcast Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

    6 days ago

    •
    45 min
  • S27:E8 - Learning AI (Matt Eland)

    22/05/2024

    6

    S27:E8 - Learning AI (Matt Eland)

    Meet Matt Eland, AI Specialist at Leading EDJE. Matt shares what sparked his passion for AI years ago, why he’s made the decision to go back to school for his master's degree and how he aims to continue spreading his expertise with the community. Show Links Partner with Dev & CodeNewbie! (sponsor) Matt on Data Science Central Ohio .NET Developer Group Matt's Twitter Matt's GitHub Matt's LinkedIn

    22/05/2024

    •
    51 min
  • Mitchell Hashimoto’s new way of writing code

    25 FEB

    7

    Mitchell Hashimoto’s new way of writing code

    Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — How has the day-to-day workflow of Mitchell Hashimoto changed, thanks to AI tools? Mitchell Hashimoto is one of the most influential infrastructure engineers of our time, and is one of the most pragmatic builders I’ve met. He is the co-founder of HashiCorp and creator of Ghostty. In this episode, we talk about how he got into software engineering, the history of HashiCorp, and the challenges of turning widely used open-source tools into a durable business. We also go into what it’s really like to work with AWS, Azure and GCP as a startup. Mitchell shares how he uses AI these days, and how agents have completely changed how he works. We touch on Ghostty, open source, and what’s changing for software engineers and founders in an AI-native era. — Timestamps (00:00) Intro (02:03) Mitchell’s path into software engineering (07:19) The origins of HashiCorp (15:52) Early cloud computing (18:22) The 2010s startup scene in SF (23:11) Funding HashiCorp (25:23) The Hashi stack (32:33) Why HashiCorp’s business lagged behind its technology (35:28) An early failure in commercialization (38:28) The open-core pivot and path to enterprise profitability (48:08) Taking HashiCorp public (51:58) The near VMware acquisition (59:10) Mitchell’s take on all the cloud providers (1:06:02) AI’s impact on open source (1:07:00) Why Mitchell built Ghostty (1:09:11) Why Mitchell used Zig (1:10:38) How terminals work and Ghostty’s approach (1:17:31) AI’s impact on terminals and libghostty (1:19:13) How Mitchell uses AI (1:22:02) Ghostty’s evolving AI use policy (1:28:36) Why open source must change (1:31:46) The problem of Git in monorepos (1:36:22) What needs to change to work effectively with AI (1:39:57) Mitchell’s hiring practices (1:47:52) Mitchell’s AI adoption journey (1:50:41) Advice to would-be founders (1:52:21) Mitchell’s advising work (1:53:20) What’s changing for software engineers (1:55:03) How Mitchell recharges (1:55:50) Book recommendation — The Pragmatic Engineer deepdives relevant for this episode: • AI Engineering in the real world • The AI Engineering stack • Pressure on commercial open source to make more money – and HashiCorp changing its license • How Linux is built with Greg Kroah-Hartman — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

    25 Feb

    •
    1hr 58min
  • The $9B Startup That Wants to Create a Billion New Developers

    3 DAYS AGO

    8

    The $9B Startup That Wants to Create a Billion New Developers

    Replit is the leading no-code app builder for consumers and enterprise, letting anyone with an idea build real, deployed software using natural language. The company just raised a $400 million Series D at a $9 billion valuation.In this episode of Founder Firesides, co-founder and CEO Amjad Masad sat down with YC's Andrew Miklas to talk about Replit's 10-year journey from browser IDE to vibe coding platform, why the people getting the most value aren't traditional developers but founders and domain experts closest to the problem, and what Agent 4 unlocks with parallel agents, built-in design, and the ability to run your entire company on Replit.

    3 days ago

    •
    39 min
  • Collaboration In Product Security

    2 APR

    9

    Collaboration In Product Security

    How do security professionals work together to manage the known and the unknown? The Compiler team wraps up their exploration of product security by focusing on how teams across companies and projects work together effectively. Jeremy West returns to the show to share how transparency, standards, and accountability drive better outcomes when things go wrong.

    2 Apr

    •
    20 min
  • Scaling Uber with Thuan Pham (Uber’s first CTO)

    1 APR

    10

    Scaling Uber with Thuan Pham (Uber’s first CTO)

    Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — Thuan Pham was Uber's first and longest-serving CTO, and today he’s the CTO of Faire, a B2B wholesale platform. Back when Thuan joined Uber, it had around 40 engineers and 30,000 rides per day, and the system crashed multiple times a week. Over seven years, he helped rebuild the system, move it from a monolith to microservices, and scaled the engineering organization behind it. I had the privilege of working with Thuan for four of those seven years. Later, the very first issue of The Pragmatic Engineer newsletter was a deepdive into Uber’s Program and Platform split. This episode of the podcast contains a nice “full circle” moment, where Thuan shares even more details about why Uber chose to embrace that structure. We discuss what it takes to operate and build in that kind of environment. Thuan explains how he divided his time at Uber into three “tours of duty,” from stabilizing a fragile system, to re-architecting it, and scaling the org. We go deep into the platform-and-program split, the Helix app rewrite, and what it took to launch Uber in China in just five months (the original estimate was 18 months). We also cover Uber’s in-house tools and explain why they were necessary to support rapid growth. Finally, we discuss his role today as CTO of Faire, how the company is using AI, and how he sees AI changing software engineering. — Timestamps (00:00) Intro (05:32) Getting into tech (16:09) The dot-com bust (20:42) VMware (26:29) Getting hired by Travis at Uber (33:22) Early days at Uber and scaling challenges (40:57) Uber’s China launch (47:12) The platform and program split (50:26) From monolith to microservices  (53:38) Internal tools at Uber  (57:05) Helix: Uber’s mobile app rewrite (59:55) Thuan’s email about naming (1:02:03) Org structure changes under (1:06:34) Thuan’s work philosophy  (1:12:23) The “three tours of duty” at Uber (1:15:37) Why Thuan left Uber  (1:17:34) Coupang and Nubank (1:21:59) Faire (1:25:31) How Faire uses AI (1:28:24) AI’s impact on software engineering  (1:31:09) The role of the CTO  (1:35:13) Career advice — The Pragmatic Engineer deepdives relevant for this episode: • How Uber uses AI for development: inside look • The Platform and Program split at Uber • How Uber is measuring engineering productivity • Inside Uber’s move to the cloud • Uber's crazy YOLO app rewrite, from the front seat • How Uber built its observability platform • Developer experience at Uber with Gautam Korlam • Uber’s engineering level changes — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

    1 Apr

    •
    1hr 39min

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