korrents

the cloud

Rent the cloud or own the servers? — the views on this, and who holds which

FilterEveryone, all time67 from 30 people
Group All Technologists 9Scientists 1Founders & executives 3Writers & journalists 5
Who Everyone DHDavid Heinemeier Hansson 22 KVKenton Varda 6 MKMartin Kleppmann 4 GOGergely Orosz 3 DADario Amodei 2 DCDavid Crawshaw 2 EBEmanuele Bartolesi 2 GRGuillermo Rauch 2 MGMatthew Green 2 PLPieter Levels 2 BDBrad DeLong 1 CHCasey Handmer 1 CMCelso Martinho 1 CPColin Percival 1 DSDaniel Stenberg 1 DTDerek Thompson 1 DPDylan Patel 1 EHElliot Hershberg 1 EAEmily Atkin 1 FAFatih Arslan 1 GHGeorge Hotz 1 KHKelsey Hightower 1 MSM.G. Siegler 1 MTMeng To 1 RKRita Kozlov 1 RURoman Ugarte 1 RARuss Allbery 1 SSSalvatore Sanfilippo 1 SNSatya Nadella 1 VMVarun Raj Manoharan 1
When All time Past 1 yearPast 3 yearsPast 5 years
  1. GO

    Gergely Orosz quoted

    Writes The Pragmatic Engineer

    Our readingAI agents will increasingly run on the cloud, not locally

    AI agents

    Their wordsone more reason AI agents will increasingly run on the cloud, not locally

    ↗@GergelyOrosz on Xx.com

  2. 6 days earlier
  3. GO

    Gergely Orosz quoted

    Our readingRailway, Render, and Fly.io surely have less red tape than cloud providers such as AWS.

    Their wordsRailway, Render, Fly io all examples of ones surely not as much red tape as eg AWS

    ↗@GergelyOrosz on Xx.com

  4. 3 days earlier
  5. CM

    Celso Martinho quoted

    Vice president of engineering at Cloudflare as of 2026

    Our readingBuilding a product on your own platform proves the platform and lets the product stay cheap and scale.

    Their wordsThis is not only a great way to dogfood and prove our own platform, but also the only way to make Kitesurf very cheap and scale automatically across the Cloudflare global network.

    ↗The road to the agentic browser: A Kitesurf updateblog.cloudflare.com 3rd of 3 in this piece

  6. 1 day earlier
  7. DH

    David Heinemeier Hansson quoted

    Creator of Ruby on Rails, CTO of 37signals

    Our readingClient-side image editing software like Photoshop and Lightroom will be obsolete by the end of the year.

    Their wordsAnd it's perfectly clear that no later than the end of this year, it'll be the end of the line for Photoshop, Lightroom, and any other client-side program like that.

    ↗@dhh on Xx.com

  8. 3 days earlier
  9. GO

    Gergely Orosz quoted

    Our readingIt seems CPU spot pricing has vanished because CPU demand is now high, making spot CPUs and reservations hard to obtain.

    Their wordsIt seems that spot pricing has vanished because there’s no longer any lack of demand for CPUs – quite the opposite. I was surprised, but a lot of people chimed in; apparently, it’s now nearly impossible to get CPUs on spot instances without long-running connections with cloud providers. Also, reserving specific CPUs now needs to be done months in advance, and cloud providers will even turn down certain reservations because they don’t have enough CPUs or the right type of CPUs.

    ↗The Pulse: a new trend of CPU shortagesblog.pragmaticengineer.com

  10. 2 days earlier
  11. MS

    M.G. Siegler quoted

    Technology writer of Spyglass

    Our readingAI will likely be run in the cloud rather than on native AI PCs.

    Their wordsmy bet would be that there is no truly native 'AI PC' and that instead, people will run AI on the current computing paradigms as long as they're in the cloud.

    ↗Soylent Googlebook is Androidspyglass.org

  12. 1 day earlier
  13. BD

    Brad DeLong quoted

    Economics professor at the University of California

    Our readingThe sell-side analysts making HyperScaler forecasts may lack detailed understanding of the technology and its deployment.

    Their wordsWhat bottom-up detailed understandings of the technology and its deployment do the guys with the spreadsheets working for the sell-side actually have here?

    ↗HyperScaler Operating Cash Flow “Consensus” Forecast: CHART OF THE DAYbraddelong.substack.com

  14. 7 days earlier
  15. GR

    Guillermo Rauch quoted

    CEO of Vercel; creator of Next.js and Socket.IO

    Our readingServerless computing was the last chapter of the cloud.

    Google

    Their wordsServerless was the last chapter of the cloud, and Steren helped define the paradigm at Google.

    ↗@rauchg on Xx.com

  16. 5 days earlier
  17. EA

    Emily Atkin quoted

    Climate journalist; founded HEATED in 2019 after reporting…

    Our readingCloud providers' AI tools are being used by oil companies to increase fossil fuel production.

    Their wordsAmazon's technology explicitly helps oil companies increase production.

    ↗We asked Big Tech about AI’s fossil fuel problem. The responses were atrocious.heated.world 2nd of 3 in this piece

  18. 1 day earlier
  19. RU

    Roman Ugarte quoted

    Leads product for Grok Bot at SpaceX AI

    Our readingUsers should never have to think about whether an AI agent's work runs locally or in the cloud.

    Their wordsAnd the first is you should never have to think about local and cloud and where are these workflows running?

    ↗How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)youtube.com 5th of 18 in this recording

  20. 1 day earlier
  21. GR

    Guillermo Rauch quoted

    Our readingMore personal and professional computing will come from agents orchestrating work in cloud sandboxes, and those sandboxes will be Linux.

    Linux

    Their wordsMore and more of our personal and professional computing experiences will come from agents that orchestrate work in the cloud, using sandboxes. Those sandboxes will be Linux.

    ↗@rauchg on Xx.com

  22. 5 days earlier
  23. RA

    Russ Allbery quoted

    Long-time Debian developer and free-software maintainer (remctl

    Our readingLarge-scale institutional trust requires multiple major competing players rather than a single monopolistic controller, even in near-monopoly industries.

    Their wordsThis is not how institutional trust generally works; even with vast multinational high-capital near-monopolies such as cloud computing, there are three major players and innumerable smaller ones.

    ↗Review: Too Like the Lightningeyrie.org 2nd of 3 in this piece

  24. 3 weeks earlier
  25. DS

    Daniel Stenberg quoted

    Swedish open source developer

    Our readingShared cloud infrastructure makes it hard to get stable, reproducible performance-testing conditions.

    infrastructure

    Their wordsThis is basically impossibly to accomplish using most cloud infrastructure since those are almost always shared with countless other users.

    ↗curl performancedaniel.haxx.se 1st of 2 in this piece

  26. 3 days earlier
  27. DT

    Derek Thompson quoted

    Writer and podcaster; co-author of Abundance with Ezra…

    Our readingThe current AI data-center buildout is the biggest and fastest-growing infrastructure project in living memory.

    infrastructure

    Their wordsThis is the biggest and fastest-growing infrastructure project of our lifetimes.

    ↗The Great American AI Rebellionderekthompson.org 1st of 2 in this piece

  28. 9 days earlier
  29. RK

    Rita Kozlov quoted

    Vice president at Cloudflare for its developer platform

    Our readingThe cloud and the web were built for people, with every layer assuming a human is watching.

    Their wordsThe cloud we have today, and the web it sits on, were built for people. Every layer assumes a human is watching

    ↗Welcome to Agents Weekblog.cloudflare.com 2nd of 3 in this piece

  30. 7 days earlier
  31. DH

    David Heinemeier Hansson quoted

    Our readingRevenue is outside your control and costs are inside it, which is why cutting a recurring expense is the lever a business owner should love.

    Their wordsBut ultimately, I don't get to choose whether they put in their credit card or not. They do. I do get to choose how much money we spend on servers. I do get to choose whether we squander that revenue on needless cloud services rather than just owning our own hardware, right?

    ↗DHH: How to Build a Profitable Company Without Losing Controlyoutube.com 14th of 15 in this recording

  32. 4 weeks earlier
  33. MT

    Meng To quoted

    Designer and founder of Design+Code

    Our readingAgents working locally can be far more powerful than any private walled garden that exists out there in the cloud.

    Their wordsbecause Codex works really well locally and agents can do it far more powerful than any private walled garden that exists out there in the cloud

    ↗Meng To - Codex superpowers for designersyoutube.com 2nd of 18 in this recording

  34. 2 days earlier
  35. PL

    Pieter Levels quoted

    Dutch bootstrapper who builds and runs his internet startups alone

    Our readingAI agents and AI coding will run on servers and from the cloud first, not on your laptop.

    AnthropicAI agents

    Their wordsI agree with @theo completely, it's clear to me this is where it's going, also seeing @karpathy with Claude moving to the cloud (via Slack etc), I think AI "agents" and AI coding will operate on servers / from the cloud first

    ↗I've been coding almost solely on my VPS with Claude Code for almost a year nowlevels.io

  36. 12 days earlier
  37. FA

    Fatih Arslan quoted

    Software engineer at PlanetScale and creator of the vim-go plugin

    Our readingKubernetes is fundamentally a framework for feedback controllers, not just container orchestration.

    Their wordsKubernetes is really a framework for feedback controllers. It's control theory turned into something ordinary people can use.

    ↗Kubernetes runs on feedback loopsarslan.io

  38. 13 days earlier
  39. KH

    Kelsey Hightower quoted

    Self-taught software engineer

    Our readingSeven API calls to get a virtual machine was never an intention, it was a procedure — most of our APIs were designed wrong even for humans.

    Their wordsYou have to call like seven APIs to get a VM in the cloud. Create a VM, a network, a storage device connected to a VPC and then attach credentials. Like that's not intent based. I want a VM.

    ↗Kubernetes and retiring at the top with Kelsey Hightoweryoutube.com 22nd of 28 in this recording

  40. 3 weeks earlier
  41. SS

    Salvatore Sanfilippo quoted

    Programmer; wrote Redis and hping, and blogs about C

    Our readingAI is too critical to be delivered only as a centralized, hosted service.

    Their wordsit was really appreciated :) AI is too critical to be just a provided service.

    ↗A few words on DS4antirez.com 3rd of 3 in this piece

  42. 3 weeks earlier
  43. DC

    David Crawshaw quoted

    Software engineer; co-founder and former CTO of Tailscale

    Our readingVMs are the wrong cloud abstraction because they bundle CPU and memory into fixed-size units.

    Their wordsVMs are the wrong shape because they are tied to CPU/memory resources.

    ↗I am building a cloudcrawshaw.io 1st of 3 in this piece

  45. DC

    David Crawshaw quoted

    Our readingCloud abstraction problems cannot be fixed by adding more abstraction layers on top.

    Their wordsYou cannot solve the fundamental problems with cloud abstractions by building new abstractions on top.

    ↗I am building a cloudcrawshaw.io 2nd of 3 in this piece

  47. MK

    Martin Kleppmann quoted

    Computer science researcher at Cambridge

    Our readingHigher-level abstractions do not abolish low-level knowledge; they concentrate it in the smaller group of people who build the abstractions.

    Their wordsBut, somebody still has to build those lower-level abstractions and from lower-level components. Somebody's got to implement the cloud services.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 6th of 26 in this recording

  49. MK

    Martin Kleppmann quoted

    Our readingEurope being locked out of US cloud services is still unlikely, but it is no longer unthinkable, and serious systems should be engineered against it.

    Europe

    Their wordsSo, what if geopolitics was to go horribly wrong and tensions escalate and Europe find itself suddenly locked out of US cloud services? I hope that doesn't happen. I still think it's fairly unlikely, but it's no longer unthinkable.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 8th of 26 in this recording

  51. MK

    Martin Kleppmann quoted

    Our readingSharding across machines has faded as a concern because hardware got more powerful, not because the cloud made it easy.

    Their wordsBut, at least this sort of sharding across multiple machines is maybe become less of a pressing issue just because more and more workloads can just run on a single machine. Some people still have very large-scale workloads that do have to be sharded across multiple machines. So, it's not going away entirely.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 10th of 26 in this recording

  53. MK

    Martin Kleppmann quoted

    Our readingPower over data belongs with end users rather than cloud operators, and software should be built to move it back to them.

    Their wordslocal-first software, which is this idea that we want to take away a bit of the power from cloud operators and give it back to end users. So, end users should be more in control of their own data and less dependent on cloud services for providing the applications and the data that that the users need.

    ↗Designing Data-intensive Applications with Martin Kleppmannyoutube.com 20th of 26 in this recording

  54. 13 days earlier
  55. EB

    Emanuele Bartolesi quoted

    Italian software architect working on Microsoft 365

    Our readingAvoiding sending prompts and code to external services is the strongest reason to use local AI models instead of cloud ones.

    Their wordsYou avoid sending prompts and contexts to external services. This is the strongest reason to use local models.

    ↗Using GitHub Copilot CLI with Local Models (LM Studio)emanuelebartolesi.com 1st of 2 in this piece

  57. EB

    Emanuele Bartolesi quoted

    Our readingCloud AI models are still better than local models for tasks that need high accuracy, large context handling, or production-grade reliability.

    Their wordsAvoid this setup if you need: High accuracy Large context handling Production-grade reliability In those cases, cloud models are still the better option.

    ↗Using GitHub Copilot CLI with Local Models (LM Studio)emanuelebartolesi.com 2nd of 2 in this piece

  58. 8 weeks earlier
  59. DA

    Dario Amodei quoted

    Co-founder and CEO of Anthropic

    Our readingAI will settle the way cloud did — three or four players, kept few by the cost of entry rather than by network effects.

    Their wordsThe way you get industries in which there are small number of players are very high costs of entry, right? Um so, you know, uh cloud is like this. I think cloud is a good example of this. You have three, maybe four players within cloud. I think I think that's the same for AI, three maybe four.

    ↗Dario Amodei — “We are near the end of the exponential”youtube.com 17th of 29 in this recording