korrents

LLMs

FilterEveryone, all time746 from 219 people
Who Everyone NLNathan Lambert 28 AKAndrej Karpathy 26 SRSebastian Ruder 18 DHDavid Heinemeier Hansson 15 CHChip Huyen 13 ASAravind Srinivas 12 SRSebastian Raschka 12 SWSimon Willison 12 BCBoris Cherny 11 GOGergely Orosz 11 BLBrian Lovin 10 DADario Amodei 10 LWLilian Weng 10 DHDex Horthy 9 BDBrad DeLong 8 JLJan Leike 8 MBMiles Brundage 8 PSPablo Stanley 8 SSSalvatore Sanfilippo 8 SKSteve Klabnik 8 ZMZvi Mowshowitz 8 BWBrett Williams 7 GMGary Marcus 7 HRHarper Reed 7 JCJack Clark 7 TBThorsten Ball 7 TFTiago Forte 7 ARArmin Ronacher 6 BEBenedict Evans 6 FCFrançois Chollet 6 ISIan Silber 6 KPKris Puckett 6 MTMeng To 6 NBNoam Brown 6 SASam Altman 6 SHSamuel Hammond 6 CWChris Wellons 5 DPDylan Patel 5 EBEd Bayes 5 EYEugene Yan 5 FLFei-Fei Li 5 JHJensen Huang 5 PGPaul Graham 5 PLPieter Levels 5 RSRichard Sutton 5 RKRohit Krishnan 5 SKSriram Krishnan 5 AHAnn Handley 4 CDCory Doctorow 4 DFDylan Field 4 EMEthan Mollick 4 FSFabien Sanglard 4 GHGeorge Hotz 4 JBJamie Brandon 4 JSJasmine Sun 4 JJJustin Jackson 4 KKKyle Kingsbury 4 MZMark Zuckerberg 4 MGMolly Graham 4 NPNate Parrott 4 SNSatya Nadella 4 THThePrimeagen 4 TPThomas Ptacek 4 TLTobias Lütke 4 TYTynan 4 VBVicki Boykis 4 ACAjeya Cotra 3 ADAnil Dash 3 AAAnish Acharya 3 AKArvid Kahl 3 BVBen Vinegar 3 CFChelsea Finn 3 DCDavid Crawshaw 3 DTDerek Thompson 3 ESElio Struyf 3 EBEmanuele Bartolesi 3 GWGwern 3 HTHelen Toner 3 HWHillel Wayne 3 ISIlya Sutskever 3 JDJacob Devlin 3 JFJacob Falkovich 3 JGJames Gleick 3 JEJason Evanish 3 JDJeff Dean 3 JPJosh Puckett 3 KRKenneth Reitz 3 KDKent C. Dodds 3 KLKenton Lee 3 KJKetan Joshi 3 KKKevin Kelly 3 KTKristina Toutanova 3 MAMaggie Appleton 3 MCMing-Wei Chang 3 NRNaval Ravikant 3 PSPeter Steinberger 3 PWPeter Woit 3 SAScott Alexander 3 SLSergey Levine 3 TSTara Seshan 3 TTTomasz Tunguz 3 TGTommy Geoco 3 APAaron Patterson 2 ACAlbert Cheng 2 AGAlexey Guzey 2 AMAmit Merchant 2 AHAnders Hejlsberg 2 AMAndy Madrick 2 BTBret Taylor 2 BHByrne Hobart 2 CHCasey Handmer 2 DHDan Houser 2 DRDave Rupert 2 EPEliot Peper 2 EMElon Musk 2 FVFederico Viticci 2 FGFlora Guo 2 GRGuillermo Rauch 2 HDHorace Dediu 2 JLJason Lemkin 2 JBJeff Bezos 2 JSJon Seager 2 JCJosh Collinsworth 2 JZJulie Zhuo 2 KCKyle Chayka 2 MSM.G. Siegler 2 MKMartin Kleppmann 2 MKMike Krieger 2 NENelson Elhage 2 NCNick Cave 2 PCPatrick Collison 2 RNRamez Naam 2 RURoman Ugarte 2 SHScott Hanselman 2 SWStephen Wolfram 2 SCSteve Coast 2 TCTed Chiang 2 TTTerence Tao 2 TSTim Sweeney 2 VMVarun Raj Manoharan 2 VRVenkatesh Rao 2 YBYoshua Bengio 2 ZHZach Holman 2 AFAdam Frank 1 AOAddy Osmani 1 ACAlan Castel 1 AEAlice Evans 1 AWAmelia Wattenberger 1 ASAnil Seth 1 BSBalaji Srinivasan 1 BTBen Thompson 1 BGBill Gurley 1 BCBryan Caplan 1 BSBuck Shlegeris 1 CBCarlos Alexandro Becker 1 CNCasey Newton 1 CCChris Coyier 1 CBClay Bavor 1 DMDan Meyer 1 DWDan Wang 1 DEDavid Epstein 1 DRDax Raad 1 DSDerek Sivers 1 DDDmitri Dolgov 1 EVElena Verna 1 EYEliezer Yudkowsky 1 FAFatih Arslan 1 GSGrant Sanderson 1 HHHamel Husain 1 HRHannah Ritchie 1 HFHenry Farrell 1 JCJason Cohen 1 JLJason Liu 1 JPJennifer Pahlka 1 JBJohn Bai 1 KBKatarina Batina 1 KDKatie Dill 1 KBKent Beck 1 KZKyle Zantos 1 LFLex Fridman 1 LMLincoln Michel 1 LRLisa Randall 1 LWLuke Wroblewski 1 MZMario Zechner 1 MMMark Manson 1 MNMark Nottingham 1 MCMarty Cagan 1 MSMarvin Schwaibold 1 MMMatt Mullenweg 1 MWMatt Webb 1 MHMax Hodak 1 MKMichael Kratsios 1 MLMichael Lopp 1 MWMolly White 1 NYNan Yu 1 NENeetCode 1 NONeri Oxman 1 NCNicholas Carr 1 NMNick Maggiulli 1 NSNoah Smith 1 PSPeter Sellis 1 RDRakhim Davletkaliyev 1 RMRay Maker 1 RHRobin Hanson 1 RSRobin Sloan 1 RGRon Goldin 1 SWSara Walker 1 SCSean Carroll 1 SGStephan Guyenet 1 SYSteve Yegge 1 SJSteven Johnson 1 SPSundar Pichai 1 TYTamar Yehoshua 1 TSThariq Shihipar 1 TMTom MacWright 1 TCTyler Cipriani 1 VFViktor Frankl 1 YXYihui Xie 1 ZHZeke Hausfather 1
  1. BD

    Brad DeLong quoted

    Economics professor at the University of California

    That creation and transmission of meaning through the warping of language into new forms is not something an LLM, for which all there is is the text, can do.

    ↗What LLMs Can & Do Do for Me, & What They Cannot & Don’t: THURSDAY THAUMATURGYbraddelong.substack.com

  2. 2 days earlier
  3. BD

    Brad DeLong quoted

    It is not because it will give rise to a Digital God. To think that is still seems to me to be a category error of the same kind as thinking that a steamship is the same order of being as a dragon.

    ↗CROSSPOST: JOHN GRUBER & BEN THOMPSON: Meanness & Claudebraddelong.substack.com

  4. BD

    Brad DeLong quoted

    Properly trained, RAGed, and harnessed LLMs may still be stochastic parrot, but as they are enmeshed in the spheres of human cognition and public reason they increasingly do not act as stochastic parrot.

    ↗CROSSPOST: JOHN GRUBER & BEN THOMPSON: Meanness & Claudebraddelong.substack.com

  5. 2 days earlier
  6. AK

    Andrej Karpathy quoted

    Founding member of OpenAI and former director of AI at Tesla

    Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*.

    ↗@karpathy on Xx.com

  7. 2 days earlier
  8. GO

    Gergely Orosz quoted

    Writes The Pragmatic Engineer

    even “artificial intelligence” was a stretch given LLMs are probability distributions and do not meet our common understanding of “intelligence.”

    ↗@GergelyOrosz on Xx.com

  9. GO

    Gergely Orosz quoted

    Hallucination is a feature not a bug; generating the next token and the next also.

    ↗@GergelyOrosz on Xx.com

  10. GO

    Gergely Orosz quoted

    Like it or not, modern sw engineering is no longer done without LLMs (AI) and will no longer be done without.

    ↗@GergelyOrosz on Xx.com

  11. BD

    Brad DeLong quoted

    LLMs are a newer, smaller shoggoth. They condense human writing into useful but lossy summaries, no lossier than prices, bureaucratic categories, & opinion polls.

    ↗Henry Farrell of Johns Hopkins Agora Comes to Berkeley: FOG & FLATLANDSbraddelong.substack.com

  12. JP

    Josh Puckett quoted

    Designer, advisor and investor

    As fast as the hyperscalers are training LLMs on ever-expanding datasets, I think much of what matters lives in stories, mistakes, or habits of individual practitioners.

    ↗On Being An Elderjoshpuckett.me 2nd of 9 in this piece

  13. NS

    Noah Smith quoted

    Economics writer; author of the Noahpinion newsletter

    the big AI labs are better at predicting the future than you are, because they have access to AI forecasting models that are better than anything anyone outside the labs has access to.

    ↗@Noahpinion on Xx.com

  14. 1 day earlier
  15. DH

    David Heinemeier Hansson quoted

    Creator of Ruby on Rails, CTO of 37signals

    If you're stuck at "AI is just another tool", you're making a category error.

    ↗@dhh on Xx.com

  16. GO

    Gergely Orosz quoted

    An LLM is as conscious as my screwdriver, lawn mower or smartphone is - all tools we build to do X or Y.

    ↗@GergelyOrosz on Xx.com

  17. PG

    Paul Graham quoted

    Co-founder of Y Combinator and Viaweb

    The skeptics who say AI can't conjecture, can't theorize, and can't explain are describing last spring's models.

    ↗@paulg on Xx.com

  18. RN

    Ramez Naam quoted

    Author and clean-energy investor who has been publishing…

    That doesn't tell us that LLMs are conscious, though. They have very different architecture than human or animal brains. It's far from a slam dunk.

    ↗@ramez on Xx.com

  19. 1 day earlier
  20. AS

    Anil Seth quoted

    Professor of Cognitive and Computational Neuroscience…

    consciousness

    My credence in consciousness for current LLMs being very close to zero

    ↗@anilkseth on Xx.com

  21. AK

    Andrej Karpathy quoted

    As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.

    ↗@karpathy on Xx.com

  22. GO

    Gergely Orosz quoted

    LLM bots are talking in my replies, this site is having a real problem blocking these accounts.

    ↗@GergelyOrosz on Xx.com

  23. 1 day earlier
  24. TB

    Thorsten Ball quoted

    Co-founder of Amp and co-host of the Raising an Agent podcast

    To repeat: reconsider everything you thought about these models 4-6 months ago.

    ↗@thorstenball on Xx.com

  25. TB

    Thorsten Ball quoted

    Biggest source of confusion is that everyone - spent wildly different # of tokens in last 2 years - works in diff codebases - with diff languages - and diff requirements - in diff teams - with diff processes - in diff companies and then says "models are [good|bad]"

    ↗@thorstenball on Xx.com

  26. ZM

    Zvi Mowshowitz quoted

    Writes Don't Worry About the Vase

    OpenAI

    If we’re going to keep getting close to four frontier model releases per month (Astra, Sol, Fable and Opus) then I’m realistically not going to be able to read all four cards cover to cover.

    ↗AI #188: Gemini Dot Argonthezvi.substack.com

  27. 4 days earlier
  28. MG

    Molly Graham quoted

    Co-founder of Glue Club and The Guild

    Like as of right now, like there is not a lot of data, although you may have more than I do that says that AI is genuinely taking jobs away.

    ↗Molly Graham: The grief, burnout, and opportunity hiding inside the AI transitionyoutube.com 5th of 20 in this recording

  29. MG

    Molly Graham quoted

    I always think like AI needs the same coaching and training that a human does right it needs context it needs onboarding it needs all of these things

    ↗Molly Graham: The grief, burnout, and opportunity hiding inside the AI transitionyoutube.com 8th of 20 in this recording

  30. MG

    Molly Graham quoted

    you hear all these stories about like companies like counting tokens and having token leaderboards and it's like it brings me back to the days when people were like counting cars in a parking lot and Slack bubbles and lines of code, right? Which we all know is a really bad way to manage people.

    ↗Molly Graham: The grief, burnout, and opportunity hiding inside the AI transitionyoutube.com 11th of 20 in this recording

  31. MG

    Molly Graham quoted

    it is a slow takeoff and it isn't like the future is next day next next month like it is it's going to take years to really understand what this new tool this new technology all these fun interns can actually do

    ↗Molly Graham: The grief, burnout, and opportunity hiding inside the AI transitionyoutube.com 19th of 20 in this recording

  32. SW

    Simon Willison quoted

    Co-creator of Django and creator of Datasette

    These two new models, when paired with their respective coding agent harnesses, improved from “often make mistakes” to “reliable enough to use on a day-to-day basis”.

    ↗2026 in LLMs (so far)simonwillison.net

  33. SW

    Simon Willison quoted

    When you release the best model in the world, it’s going get knocked off that pedestal pretty quickly. The competition is so fierce that you won’t get a long time at the top

    ↗2026 in LLMs (so far)simonwillison.net

  34. 1 day earlier
  35. MS

    M.G. Siegler quoted

    Technology writer of Spyglass

    And in the Age of AI, such information becomes potentially more interesting and powerful. If you can pull up the sushi spot you want to recommend to someone via a natural language query – perhaps even with only your voice – that's clearly going to be useful.

    ↗Where is the 'Where I've Been' Service?spyglass.org

  36. ZM

    Zvi Mowshowitz quoted

    Anthropic

    The writing is good. I am curious how much the writing and talk are ‘the things people pick up on quickly’ versus things that matter a lot. My guess is they are both.

    ↗Claude Opus 5.5 Should Raise Your Ambitionsthezvi.substack.com

  37. SW

    Simon Willison quoted

    Our industry is destabilized in a way nobody’s experienced since the advent of the personal computer.

    ↗@simonw on Xx.com

  38. SW

    Simon Willison quoted

    Everything we do with frontier models today, in a few years we’ll be doing instantaneously and for free.

    ↗@simonw on Xx.com