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Highlights

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IN CASE YOU MISSED IT

Dwarkesh Patel distinguishes intelligence as the ability to achieve goals across wide domains from raw power and ranks leaders like Donald Trump, Xi Jinping, and Vladimir Putin at the top

Sayash KapoorSK#734|@SAYASHK
Séb KrierSK#505|@SEBKRIER
Dean W. BallDW#392|@DEANWBALL
EmadEM#167|@EMOSTAQUE
Dwarkesh PatelDP#70|@DWARKESH_SP
roonRO#59|@TSZZL
#1 VIEWED (24.9M)

A federal jury in Oakland rejects Elon Musk's 2024 lawsuit against OpenAI and Sam Altman after finding the statute of limitations expired on all claims

Alex NicholAN#565|@UNIXPICKLE
Andrew CurranAC#517|@ANDREWCURRAN_
EmadEM#167|@EMOSTAQUE
Gary MarcusGM#153|@GARYMARCUS
Edward GrefenstetteEG#87|@EGREFEN
Elon MuskEM#76|@ELONMUSK
RISING DISCUSSION (2.2k)

OpenAI updated ChatGPT with expandable and collapsible messages that let users tap to hide or reveal long responses and reduce visual clutter in conversations

Adam.GPTAD|@THEREALADAMG
🍓🍓🍓🍓🍓#1711|@IRULETHEWORLDMO
Ravid Shwartz ZivRS#612|@ZIV_RAVID
Sam AltmanSA#8|@SAMA
#1 ENGAGED (29)

Cursor AI releases Composer 2.5 as its most powerful model, improving intelligence and performance on long-running tasks after allocating 85 percent of compute to additional training on the Kimi base

Omar KhattabOK#160|@LATEINTERACTION
rohan anilRA#83|@_AROHAN_
Elon MuskEM#76|@ELONMUSK
clem 🤗C🤗#68|@CLEMENTDELANGUE
Sasha RushSR#23|@SRUSH_NLP
Kyunghyun ChoKC#15|@KCHONYC
RISING LIKES (1k)

François Chollet, creator of the Keras deep learning library and ARC-AGI benchmark, describes directing AI coding agents by positioning verifiable constraints as barriers that guide blind-squirrel-like random exploration toward target outcomes.

Danielle Fong 🔆DF|@DANIELLEFONG
Nick DobosND#1894|@NICKADOBOS
François CholletFC#37|@FCHOLLET

Top Stories.

Posts: —|Clusters: —|Next crawl: —
10

Cursor AI releases Composer 2.5 as its most powerful model, improving intelligence and performance on long-running tasks after allocating 85 percent of compute to additional training on the Kimi base — Cursor is doubling included usage for all users next week.

9h40.2k4.4k22.1M
#1 ENGAGED29
eric zakariassonEZ#1965|@ERICZAKARIASSON
Nick DobosND#1894|@NICKADOBOS
Sualeh AsifSA#1749|@SUALEHASIF996
Ryo LuRL#1733|@RYOLU_
ZephyrZE#1497|@ZEPHYR_Z9
Chubby♨️CH#1496|@KIMMONISMUS
bilalBI#1402|@BILALTWOVEC
Shaun MaguireSM#1333|@SHAUNMMAGUIRE
Sam WhitmoreSW#1318|@SJWHITMORE
Kevin FransKF#1284|@KVFRANS
Alex VolkovAV#1245|@ALTRYNE
Ashvin NairAN#1086|@ASHVINAIR
Lisan al GaibLA#980|@SCALING01
Jacob JacksonJJ#978|@JBFJA
Philipp SchmidPS#934|@_PHILSCHMID
elieEL#716|@ELIEBAKOUCH
Dan FuDF#694|@REALDANFU
Ravid Shwartz ZivRS#612|@ZIV_RAVID
Niklas MuennighoffNM#583|@MUENNIGHOFF
Michael TruellMT#506|@MNTRUELL
Boris PowerBP#357|@BORISMPOWER
Teknium 🪽T🪽#259|@TEKNIUM
EmadEM#167|@EMOSTAQUE
Omar KhattabOK#160|@LATEINTERACTION
rohan anilRA#83|@_AROHAN_
Elon MuskEM#76|@ELONMUSK
clem 🤗C🤗#68|@CLEMENTDELANGUE
Sasha RushSR#23|@SRUSH_NLP
Kyunghyun ChoKC#15|@KCHONYC
20

A federal jury in Oakland rejects Elon Musk's 2024 lawsuit against OpenAI and Sam Altman after finding the statute of limitations expired on all claims — Decision ends immediate legal threat to OpenAI's $730 billion valuation.

10h137.5k6k24.9M
#1 VIEWED24.9M#1 LIKED137.5k#1 BOOKMARKED6k#1 COMMENTS10.1k#1 QUOTED1.3kMOST NEGATIVE854
Alex KonradAK|@ALEXRKONRAD
ShakeelSH|@SHAKEELHASHIM
NIKNI|@NS123ABC
Hayden FieldHF|@HAYDENFIELD
Shirin GhaffarySG|@SHIRINGHAFFARY
Jessica LessinJL|@JESSICALESSIN
Danielle Fong 🔆DF|@DANIELLEFONG
rat king 🐀RK|@MIKEISAAC
Seán Ó hÉigeartaighSÓ#1457|@S_OHEIGEARTAIGH
Aaron LouAL#1383|@AARON_LOU
Rachel MetzRM#1327|@RACHELMETZ
Alex VolkovAV#1245|@ALTRYNE
Reiichiro NakanoRN#1175|@REIINAKANO
Kosta Derpanis (sabbatical in Zurich)KD#908|@CSPROFKGD
Beff (e/acc)B(#839|@BEFFJEZOS
Jimmy Apples 🍎/accJA#837|@APPLES_JIMMY
Bojan TunguzBT#687|@TUNGUZ
Will KnightWK#609|@WILLKNIGHT
Alex NicholAN#565|@UNIXPICKLE
Andrew CurranAC#517|@ANDREWCURRAN_
EmadEM#167|@EMOSTAQUE
Gary MarcusGM#153|@GARYMARCUS
Edward GrefenstetteEG#87|@EGREFEN
Elon MuskEM#76|@ELONMUSK
30

Richard Sutton, professor of computing science at the University of Alberta, posted a 26-word summary of his Bitter Lesson principle advocating scalable search and learning over human knowledge for AI progress — Replies noted current models depend on human-generated data and prompts.

9h5.6k2.1k367.9k
Carles GeladaCG|@CARLESGELADA
EthanET#1884|@TORCHCOMPILED
Luca AmbrogioniLA#1822|@LUCAAMB
Lucas NestlerLN#1709|@CLASHLUKE
Aviv TamarAT#1627|@AVIVTAMAR1
Jiaxin WenJW#1460|@JIAXINWEN22
Shubhendu TrivediST#1446|@_ONIONESQUE
Pranav ShyamPS#1371|@RECURSEPARADOX
Minh Nhat Nguyen @ AIE SG 🇸🇬MN#1179|@MENHGUIN
Herbie BradleyHB#1022|@HERBIEBRADLEY
Zhiting HuZH#949|@ZHITINGHU
Aryaman AroraAA#678|@ARYAMAN2020
Ross WightmanRW#661|@WIGHTMANR
Dileep GeorgeDG#590|@DILEEPLEARNING
Wenting ZhaoWZ#584|@WZHAO_NLP
kacheKA#488|@YACINEMTB
Xiao MaXM#437|@INFOXIAO
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
Xin Eric Wang (hiring postdoc)XE#417|@XWANG_LK
Rishabh AgarwalRA#196|@AGARWL_
Gary MarcusGM#153|@GARYMARCUS
Yisong YueYY#128|@YISONGYUE
Richard SuttonRS#101|@RICHARDSSUTTON
rohan anilRA#83|@_AROHAN_
Thomas G. DietterichTG#66|@TDIETTERICH
Lucas Beyer (bl16)LB#55|@GIFFMANA
40

Vatican announces Pope Leo XIV’s first encyclical Magnifica Humanitas on safeguarding the human person in the age of AI will be presented May 25 in the Synod Hall — Document signed May 15 marking 135th anniversary of Rerum Novarum.

11h9.1k1.3k861.3k
Danielle Fong 🔆DF|@DANIELLEFONG
ShakeelSH|@SHAKEELHASHIM
(((E. Glen Weyl/衛谷倫))) ⿻ 🇺🇸/🇩🇪/🇹🇼(G|@GLENWEYL
Adam MarblestoneAM|@ADAMMARBLESTONE
Nathan is in Berkeley 🔎NI#1902|@NATHANPMYOUNG
Andy MasleyAM#1735|@ANDYMASLEY
Seán Ó hÉigeartaighSÓ#1457|@S_OHEIGEARTAIGH
Verena RieserVR#1337|@VERENA_RIESER
Kevin KwokKK#1218|@KEVINAKWOK
Divyansh KaushikDK#847|@DKAUSHIK96
Beff (e/acc)B(#839|@BEFFJEZOS
Bojan TunguzBT#687|@TUNGUZ
Aryaman AroraAA#678|@ARYAMAN2020
Joscha BachJB#671|@PLINZ
Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭PT#643|@ELDER_PLINIUS
Yo ShavitYS#638|@YONASHAV
Andrew CurranAC#517|@ANDREWCURRAN_
EmadEM#167|@EMOSTAQUE
MMitchellMM#151|@MMITCHELL_AI
rohan anilRA#83|@_AROHAN_
Chris OlahCO#21|@CH402
Miles BrundageMB#20|@MILES_BRUNDAGE
50

Microsoft AI Frontiers researchers introduce ECHO, a method that adds environment prediction loss to GRPO training for command-line agents to build internal world models — Tests on Qwen3 models showed higher benchmark pass rates.

12h2.3k2.1k419.8k
trieuTR#1819|@THTRIEU_
Super DarioSD#1776|@INDUCTIONHEADS
Soheil FeiziSF#962|@FEIZISOHEIL
🎭🎭#878|@DEEPFATES
Asli CelikyilmazAC#744|@REAL_ASLI
Ravid Shwartz ZivRS#612|@ZIV_RAVID
Chenhao TanCT#570|@CHENHAOTAN
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
Yu SuYS#383|@YSU_NLP
will brownWB#339|@WILLCCBB
John LangfordJL#332|@JOHNCLANGFORD
Andreas Kirsch 🇺🇦AK#228|@BLACKHC
Dimitris PapailiopoulosDP#197|@DIMITRISPAPAIL
Eric HorvitzEH#185|@ERICHORVITZ
Alex DimakisAD#172|@ALEXGDIMAKIS
Omar KhattabOK#160|@LATEINTERACTION
Dan RoyDR#56|@ROYDANROY
Lucas Beyer (bl16)LB#55|@GIFFMANA
New github stars (48hrs)
earendil-works/pi51.1k6h

Provides AI agent toolkit with coding CLI, unified LLM API, TUI/web UI libs and Slack bot support.

sarah guoSG219
Tri DaoTD84
60

Boston Dynamics released video of its Atlas humanoid robot lifting and carrying a mini-fridge weighing more than 100 pounds using AI-driven behaviors and reinforcement learning to adjust grip and posture — Footage appeared weeks after Atlas public debut in January.

13h15.1k1.9k1.9M
Super DarioSD#1776|@INDUCTIONHEADS
Pete SkomorochPS#1482|@PETESKOMOROCH
Vikash KumarVK#1450|@VIKASHPLUS
@jason@J#1061|@JASON
Rohan PaulRP#1032|@ROHANPAUL_AI
Jimmy Apples 🍎/accJA#837|@APPLES_JIMMY
Shuran SongSS#792|@SONGSHURAN
Chris PaxtonCP#732|@CHRIS_J_PAXTON
Bojan TunguzBT#687|@TUNGUZ
Andrew CurranAC#517|@ANDREWCURRAN_
EmadEM#167|@EMOSTAQUE
Elon MuskEM#76|@ELONMUSK
Eric JangEJ#36|@ERICJANG11
70

Pangram.ai classifies Jamir Nazir's award-winning short story 'The Serpent in the Grove' as 100 percent AI-generated following its Caribbean win in the 2026 Commonwealth Short Story Prize — Pangram.ai flagged nine distinct segments as machine-generated.

10h5.6k1.6k1.2M
eigenrobotEI|@EIGENROBOT
Talia Ringer 🕊🪬TR|@TALIARINGER
Henry ShevlinHS|@DIOSCURI
bilalBI#1402|@BILALTWOVEC
Nabeel S. QureshiNS#1397|@NABEELQU
PrakashPR#1332|@8TEAPI
Jay HackJH#1281|@MATHEMAGIC1AN
rohitRO#1220|@KRISHNANROHIT
Tuhin ChakrabartyTC#1050|@TUHINCHAKR
Gašper BegušGB#1034|@BEGUSGASPER
Alexander DoriaAD#867|@DORIALEXANDER
Andrew CurranAC#517|@ANDREWCURRAN_
Andreas Kirsch 🇺🇦AK#228|@BLACKHC
Ethan MollickEM#175|@EMOLLICK
Jeremy HowardJH#40|@JEREMYPHOWARD
80

Reese Witherspoon posts 55-second video encouraging mothers to learn basic AI skills and notes that only three in ten women currently use the tools — NYT publishes op-ed criticizing the video shared by Garry Tan

12h6.8k1.6k1.2M
Kim-Mai CutlerKC#1670|@KIMMAICUTLER
Pete SkomorochPS#1482|@PETESKOMOROCH
Gavin BakerGB#1266|@GAVINSBAKER
@jason@J#1061|@JASON
Beff (e/acc)B(#839|@BEFFJEZOS
Bojan TunguzBT#687|@TUNGUZ
Garry TanGT#270|@GARRYTAN
90

Logan Kilpatrick posts 8-second Gemini video drawing claims it is AI-generated — Logan Kilpatrick, a member of technical staff at Google, posted an 8-second video captioned Gemini. The clip shows a young man with short brown hair standing in an empty outdoor stadium with rows of red and blue seats. Tanishq Mathew Abraham replied claiming the video is AI-generated. Jimmy Apples suggested the clip should have referenced Jumanji.

2h1.5k9199.8k
fofrFO#1996|@FOFRAI
Matthew BermanMB#1759|@MATTHEWBERMAN
Nataniel RuizNR#1562|@NATANIELRUIZG
Philipp SchmidPS#934|@_PHILSCHMID
Jimmy Apples 🍎/accJA#837|@APPLES_JIMMY
Tanishq Mathew Abraham, Ph.D.TM#359|@ISCIENCELUVR
👩‍💻 Paige Bailey👩‍💻P#271|@DYNAMICWEBPAIGE
Logan KilpatrickLK#90|@OFFICIALLOGANK
100

Leopold’s Situational Awareness discloses new long positions in NVDA, AMD, TSM, MU, ASML, INTC and several bitcoin miners while adding to existing holdings in its latest 13F — Market observers note semiconductor and bitcoin-mining exposure with options activity.

14h3.5k3.7k891.5k
Molly O’SheaMO|@MOLLYSOSHEA
Austen AllredAA#1540|@AUSTEN
Lisan al GaibLA#980|@SCALING01
Clive ChanCC#548|@ITSCLIVETIME
110

OpenAI updated ChatGPT with expandable and collapsible messages that let users tap to hide or reveal long responses and reduce visual clutter in conversations — Preview includes 'Show more' option and retro-themed artwork.

8h12.2k461849.7k
RISING DISCUSSION2.2kMOST POSITIVE370
Adam.GPTAD|@THEREALADAMG
🍓🍓🍓🍓🍓#1711|@IRULETHEWORLDMO
Ravid Shwartz ZivRS#612|@ZIV_RAVID
Sam AltmanSA#8|@SAMA
120

Google DeepMind promotes role in Google I/O with AI announcements planned for May 19 — Google DeepMind promoted its involvement in the upcoming Google I/O event, highlighting that the stage and technology are ready for AI breakthroughs, tools, and innovations. The lab's official account shared a link to the livestream on X. The presentation is scheduled to begin at 10am PT on May 19, with event materials confirming coverage of major news and updates for the year ahead.

4h1k6872.7k
fofrFO#1996|@FOFRAI
Chubby♨️CH#1496|@KIMMONISMUS
Philipp SchmidPS#934|@_PHILSCHMID
Bojan TunguzBT#687|@TUNGUZ
Tejas KulkarniTK#267|@TEJASDKULKARNI
Logan KilpatrickLK#90|@OFFICIALLOGANK
Zoubin GhahramaniZG#73|@ZOUBINGHAHRAMA1
130

Unsloth AI releases MTP-optimized GGUF files for Qwen3.6-27B and 35B-A3B models that deliver 1.4 to 2.2 times faster generation with no accuracy loss on as little as 18 GB RAM — llama.cpp merged native MTP support on 16 May 2026.

12h3k1.9k233.1k
Georgi GerganovGG#781|@GGERGANOV
Daniel HanDH#772|@DANIELHANCHEN
merveME#675|@MERVENOYANN
140

Odyssey ML launches Agora-1 multi-agent world model for shared real-time simulations, releasing a playable GoldenEye deathmatch preview without a traditional game engine — Preview shows N64-style controllers in front of CRT displays.

8h982563573.7k
Oliver CameronOC#1775|@OLIVERCAMERON
YoheiYO#1234|@YOHEINAKAJIMA
Rohan PaulRP#1032|@ROHANPAUL_AI
Nathan BenaichNB#242|@NATHANBENAICH
150

Logan Kilpatrick, who works on Google AI Studio and Gemini API, questions why large language models do not notify users when queries fall outside the training distribution, risking unreliable outputs — Replies proposed outlier detection yet flagged severe usability tradeoffs.

11h1.6k168154.2k
Nick DobosND#1894|@NICKADOBOS
Bojan TunguzBT#687|@TUNGUZ
elvisEL#475|@OMARSAR0
Logan KilpatrickLK#90|@OFFICIALLOGANK
Dan RoyDR#56|@ROYDANROY
160

Cursor and xAI begin training a significantly larger AI model from scratch using 10 times more compute than prior runs on Colossus 2's one-million GPU cluster — xAI is also training 6-trillion and 10-trillion parameter Grok models.

9h4.5k267488.1k
Sualeh AsifSA#1749|@SUALEHASIF996
Ryo LuRL#1733|@RYOLU_
Sam WhitmoreSW#1318|@SJWHITMORE
Andrew CurranAC#517|@ANDREWCURRAN_
170

Anthropic acquired Stainless, the company generating every official Anthropic SDK since early Claude API releases, integrating its toolchain for SDKs, CLIs, and MCP servers into its developer platform — Acquisition targets improved connectivity between Claude agents and external systems

9h613116139k
Sarah WangSW#1814|@SARAHDINGWANG
Dan Shipper 📧DS#1410|@DANSHIPPER
Erik TorenbergET#1253|@ERIKTORENBERG
Rohan PaulRP#1032|@ROHANPAUL_AI
jasonJA#929|@JXNLCO
Jerry LiuJL#677|@JERRYJLIU0
180

Claude, Anthropic's AI assistant, doubles token limits for the Design feature across all subscription plans, allowing longer and more complex designs in a single session — One user now produces twice as many slides per week.

6h12.4k2.1k743.1k
Matthew BermanMB#1759|@MATTHEWBERMAN
ThariqTH#861|@TRQ212
190

Nic Carter posts a chart separating US data center power use from the AI share, showing the latter near zero until 2024 with no visible effect on total electricity generation from 2015 to 2025 — Yann LeCun reposts noting absent load-price correlation across states

12h1.8k533152.1k
Ramez NaamRN|@RAMEZ
Andy MasleyAM#1735|@ANDYMASLEY
Garry TanGT#270|@GARRYTAN
Yann LeCunYL#4|@YLECUN
201

Cognition introduces Devin Auto-Triage, an AI system that monitors bugs and incidents, investigates them with long-term memory, and returns context or pull requests integrated with Datadog, Sentry, and PagerDuty. — It uses a manager agent plus subagent fleet architecture.

9h656270163.5k
ben hylakBH#1941|@BENHYLAK
WaldenWA#1906|@WALDEN_YAN
Scott WuSW#704|@SCOTTWU46
Russell KaplanRK#629|@RUSSELLJKAPLAN

Rising

  1. Funding

    1H AGO
    Google and Blackstone plan $5B AI cloud company
    Lisan al GaibLA#980|@SCALING01
    Andrew CurranAC#517|@ANDREWCURRAN_
    27569.9k
  2. Policy

    4H AGO
    Commentary shows greater US public comfort with nuclear plants than AI data centers
    Beff (e/acc)B(#839|@BEFFJEZOS
    Gary MarcusGM#153|@GARYMARCUS
    2.6k106.3k
  3. Tools

    6H AGO
    Vaibhav Srivastav shares minimal AI coding interface demo with Codex mascot
    Vaibhav (VB) SrivastavV(#1853|@REACH_VB
    Greg BrockmanGB#19|@GDB
    20019.5k
  4. Events

    3H AGO
    Google I/O tomorrow expected to unveil new Gemini model and Spark personal agent
    Andrew CurranAC#517|@ANDREWCURRAN_
    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
    70350k

GitHub Stars (7-days)

  1. …ilsonnn/image-blaster2d ago

    Converts an input image into 3D meshes, Gaussian splats, and audio files using Claude skills and external AI APIs.

    Mohit ShridharMS1673
    elvisEL475
    🎭🎭878
    Andrew Carr 🤸AC263
    3.1k stars
  2. …tonomous-speedrunning3d ago

    Archives experiments of AI agents autonomously tuning optimizers, schedules, and hyperparameters to reach target validation loss in fewest steps on a small LM benchmark.

    swyx🛬 SFOSS214
    Vincent WeisserVW707
    samsjaSA1262
    65 stars
  3. earendil-works/pi6h ago

    Provides AI agent toolkit with coding CLI, unified LLM API, TUI/web UI libs and Slack bot support.

    sarah guoSG219
    Tri DaoTD84
    51.1k stars
  4. mattzh72/articraft2d ago

    Automates articulated 3D asset creation by prompting LLMs to generate executable Python code defining parts, geometry and joints.

    Mohit ShridharMS1673
    Kevin ZakkaKZ763
    653 stars
  5. raindrop-ai/workshop4d ago

    Streams live traces of coding agent actions including tokens and tool calls to a local UI at localhost:5899.

    🎭🎭878
    ben hylakBH1941
    488 stars

Recent GitHub Stars

  1. andrew/pycon2h ago

    Collects and analyzes data on GitHub Actions security across Python packages for a PyCon talk.

    Simon WillisonSW193
    2 stars
  2. sapientinc/HRM-Text2h ago

    Pretrains 1B HRM text models with hierarchical reasoning, task completion, and low-compute PrefixLM training.

    Vincent WeisserVW707
    34 stars
  3. …ive_Nines_Reliability3h ago

    Estimates rare failure probabilities of LLMs on structured math problems via cross-entropy method importance sampling and confidence bounds.

    Maksym AndriushchenkoMA1066
    1 stars
  4. oven-sh/bun5h ago

    Executes JavaScript and TypeScript with a fast runtime, bundler, test runner and package manager.

    Evan HubingerEH558
    91.9k stars
  5. earendil-works/pi6h ago

    Provides AI agent toolkit with coding CLI, unified LLM API, TUI/web UI libs and Slack bot support.

    sarah guoSG219
    Tri DaoTD84
    51.1k stars
Privacy Policy|Terms of Service|© 2026 Digg Inc.

Yesterday's Top Stories, May 17, 2026.

Posts: 2,295|Clusters: 474|Stories frozen at midnight PT
10

Dwarkesh Patel distinguishes intelligence as the ability to achieve goals across wide domains from raw power and ranks leaders like Donald Trump, Xi Jinping, and Vladimir Putin at the top — Discussions on advanced AI separate intelligence as abstract reasoning from the capacity to wield power and achieve goals. Political leaders such as Donald Trump and Vladimir Putin illustrate high real-world influence that does not require strong performance on scientific or conceptual tasks, while current AI training targets economically rewarded skills.

13h2.5k1k351k
Danielle Fong 🔆DF|@DANIELLEFONG
Oliver HabrykaOH#1914|@OHABRYKA
Nick DobosND#1894|@NICKADOBOS
Dan Shipper 📧DS#1410|@DANSHIPPER
Alexander TereninAT#1150|@AVT_IM
alth0u🧶AL#1114|@ALTH0U
Sayash KapoorSK#734|@SAYASHK
Séb KrierSK#505|@SEBKRIER
Dean W. BallDW#392|@DEANWBALL
EmadEM#167|@EMOSTAQUE
Dwarkesh PatelDP#70|@DWARKESH_SP
roonRO#59|@TSZZL
20

Ken Griffin of Citadel says AI agents complete complex market analysis and deal structuring tasks in hours or days that previously took teams of master's- and PhD-level finance professionals weeks or months — Citadel CEO Ken Griffin reports that AI agents now complete complex market analysis and deal structuring in hours or days. These tasks previously required teams of master's- and PhD-level professionals working for weeks or months.

18h54.7k23.5k18M
#1 COMMENTS4.8k#1 QUOTED857#1 VIEWED18M#1 LIKED54.7k#1 BOOKMARKED23.5k
Jeff HuberJH|@JEFFREYHUBER
TFTCTF|@TFTC21
Matt SchlichtMS|@MATTPRD
Daniel Eth (yes, Eth is my actual last name)DE#1943|@DANIEL_271828
bilalBI#1402|@BILALTWOVEC
Peter Wildeford🇺🇸🚀PW#1359|@PETERWILDEFORD
Beff (e/acc)B(#839|@BEFFJEZOS
Garry TanGT#270|@GARRYTAN
Elon MuskEM#76|@ELONMUSK
30

xAI completed training of its 1.5 trillion parameter Grok V9 foundation model, which Elon Musk described as a major upgrade over the 0.5 trillion parameter Grok V8 now running as version 4.3 — xAI has completed training of its 1.5 trillion parameter Grok V9 model, a major upgrade from the current 0.5 trillion parameter V8 version. The team will next add Cursor data through supplemental training and fine-tuning before a public release in three to four weeks.

23h6.8k483466.8k
Chubby♨️CH#1496|@KIMMONISMUS
Shaun MaguireSM#1333|@SHAUNMMAGUIRE
Lisan al GaibLA#980|@SCALING01
Beff (e/acc)B(#839|@BEFFJEZOS
Andrew CurranAC#517|@ANDREWCURRAN_
Bill Yuchen LinBY#341|@BILLYUCHENLIN
Elon MuskEM#76|@ELONMUSK
40

Mustafa Suleyman, Microsoft AI CEO, predicts AI will reach human-level performance on most professional tasks within 18 months resulting in full automation of white-collar roles such as accounting and legal work — Microsoft AI CEO Mustafa Suleyman predicts AI will reach human-level performance on most professional tasks within 18 months. This timeline points to full automation of white-collar roles such as accounting, legal work, marketing, and project management.

20h1.9k465258.9k
Chubby♨️CH#1496|@KIMMONISMUS
Pasquale MinerviniPM#713|@PMINERVINI
Leo BoytsovLB#567|@SRCHVRS
Gary MarcusGM#153|@GARYMARCUS
Christian SzegedyCS#43|@CHRSZEGEDY
50

Chamath Palihapitiya states that consulting firms like PwC and Accenture risk displacement by feeding usage data to Anthropic and OpenAI while those providers launch competing services — Consulting firms like PwC and Accenture risk displacement as OpenAI and Anthropic use client data from direct integrations to launch competing services. Chamath Palihapitiya and others point to routing requests via intermediaries like Databricks to retain data control.

12h3.4k3.3k1.2M
Yash PatilYP#1252|@YPATIL125
signüllSI#1124|@SIGNULLL
Chamath PalihapitiyaCP#747|@CHAMATH
Naveen RaoNR#440|@NAVEENGRAO
60

Richard Ngo, an independent AI researcher and philosopher focused on AGI safety, alignment, and governance, stated that Effective Altruism’s largest real-world effect has been to empower Anthropic through narratives, funding, and talent pipelines. — AI researcher Richard Ngo says Effective Altruism's main real-world effect has been building up Anthropic instead of its original goals. Support flowed through funding, narratives, and talent pipelines to the AI lab.

17h1k21684.9k
Anna Gát 🧭AG|@THEANNAGAT
Oliver HabrykaOH#1914|@OHABRYKA
Nathan is in Berkeley 🔎NI#1902|@NATHANPMYOUNG
Emmett ShearES#352|@ESHEAR
Leo GaoLG#290|@NABLA_THETA
Richard NgoRN#250|@RICHARDMCNGO
70

Dimitris Papailiopoulos reports that Claude Code flushes its KV cache after periods of inactivity, aligning with Memento paper findings on reconstruction challenges upon resumption. — Claude Code automatically flushes its KV cache after periods of inactivity, causing noticeably reduced effectiveness upon resumption. This forces the model to reconstruct prior context solely from tokens, consistent with findings from the Memento paper.

16h883666134.7k
Shital ShahSS#1073|@SYTELUS
Ben (no treats)B(#982|@ANDERSONBCDEFG
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
Dimitris PapailiopoulosDP#197|@DIMITRISPAPAIL
80

OpenAI's Jason Liu shares a draft GitHub post outlining methods to maximize Codex use by shifting from coding to broader knowledge work — OpenAI developer Jason Liu has published methods for applying the Codex AI model to a wider range of daily tasks beyond coding. His draft GitHub post describes core primitives and workstreams that users can adopt for tasks like note-taking and document creation.

8h2.5k4.1k204.8k
Mario ZechnerMZ|@BADLOGICGAMES
Adam.GPTAD|@THEREALADAMG
jasonJA#929|@JXNLCO
TiboTI#768|@THSOTTIAUX
90

Matthew Yglesias proposes conditioning approval of new data centers on operators setting aside 20% of GPUs as affordable compute for low-income agents — Matthew Yglesias proposed requiring new data centers to reserve 20% of GPUs for low-income compute as a condition for approval. Responses have compared the approach to existing rules for affordable housing in new developments.

9h6.5k250215.2k
Matthew YglesiasMY|@MATTYGLESIAS
Ben (no treats)B(#982|@ANDERSONBCDEFG
Zvi MowshowitzZM#918|@THEZVI
Bojan TunguzBT#687|@TUNGUZ
100

Figure's F.03 humanoid robot sorts packages at 2.83 seconds each against warehouse worker Aime's 2.79-second pace while accumulating 149,000 packages over 119 hours of autonomous operation — A Figure humanoid robot ran autonomously for 119 hours and sorted 149,000 packages in a warehouse test. It handled each package in 2.83 seconds, narrowly behind a human worker's 2.79-second average during the same shift.

12h4.5k538681.3k
Molly O’SheaMO|@MOLLYSOSHEA
Brett AdcockBA#688|@ADCOCK_BRETT
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
110

Fyodor Urnov, Professor of Molecular Therapeutics at Berkeley, tested Edison Scientific's deep literature mode by requesting a gene biology review and received a flawless 17-page PDF within 25 minutes — AI tools are generating detailed scientific literature reviews in minutes rather than through slower traditional journal processes. Berkeley professor Fyodor Urnov received a flawless 17-page gene biology PDF from Edison Scientific's deep literature mode in 25 minutes.

11h41128152.1k
Lior PachterLP|@LPACHTER
Fyodor UrnovFU|@URNOVFYODOR
Ben GolubBG#1447|@BEN_GOLUB
Sam RodriquesSR#1007|@SGRODRIQUES
Bojan TunguzBT#687|@TUNGUZ
120

Grok Imagine Generates Anime Video Of Girl Awakening Star Energy

23h28.5k1.7k10.1M
DéborahDÉ|@DVORAHFR
Elon MuskEM#76|@ELONMUSK
130

Google's Logan Kilpatrick posts that the model is the product as replies examine models operating as components inside agent-driven systems with continual learning and user experiences — Google engineer Logan Kilpatrick posted that AI models are the core product. Replies argue this view is outdated, with value now shifting to models that operate invisibly inside agent systems with continual learning and refined user experiences.

10h1.4k6188.9k
alex peysakhovichAP#1703|@ALEX_PEYS
TaelinTA#1047|@VICTORTAELIN
Alexander DoriaAD#867|@DORIALEXANDER
Logan KilpatrickLK#90|@OFFICIALLOGANK
140

Google AI Overview Responds As Viltrumite To Invincible Search

12h38.8k3k579.6k
Guangdong Salad🥗GS|@SALADSAIYAN
Minh Nhat Nguyen @ AIE SG 🇸🇬MN#1179|@MENHGUIN
150

Odyssey ML will livestream one or two world model releases tomorrow at 9:30 AM PT to clarify their trajectory and capabilities as GPU scaling continues — Odyssey ML will release one or two new world models during a livestream tomorrow. The 9:30 AM PT event will show how the models are progressing as the company scales up its GPU resources.

9h4688571.1k
Oliver CameronOC#1775|@OLIVERCAMERON
OdysseyOD#254|@ODYSSEYML
Nathan BenaichNB#242|@NATHANBENAICH
160

Gavin Leech, UK-based AI researcher and co-founder of the consultancy Arb, notes vision models are roughly 1000 times smaller than text models owing to language's data compression through compositional semantics and abstractions — AI vision models stay roughly 1000 times smaller than text models because language compresses complex information through abstractions and compositional semantics. Replies in the thread proposed image-based chain-of-thought reasoning as one route to more efficient visual processing.

21h1.9k476189.1k
gavin leech (Non-Reasoning)GL#1480|@GLEECH
1a3orn1A#1380|@1A3ORN
rohitRO#1220|@KRISHNANROHIT
170

Chamath Palihapitiya claims on the All-In podcast that Taiwan will lose strategic importance in semiconductor manufacturing within 18 months due to U.S. advances in 1-2 nanometer process nodes — US progress on domestic 1-2 nanometer semiconductor production is not expected to erode Taiwan's strategic role in chip manufacturing within the next 18 months. Industry observers note that TSMC still controls the vast majority of advanced process nodes, packaging, and supply chains used by firms like NVIDIA and Apple.

22h876235100.7k
Ramez NaamRN|@RAMEZ
Shanu MathewSM|@SHANUMATHEW93
Daniel JeffriesDJ#1988|@DAN_JEFFRIES1
Carlos E. PerezCE#1598|@INTUITMACHINE
180

Social media users reject claims that a new Utah AI data center would raise nighttime temperatures by 20 to 28 degrees as physically implausible — Social media users are rejecting viral claims that a new Utah AI data center would raise nighttime temperatures by 20 to 28 degrees statewide. They note that even intense wildfires reaching 2200°F do not produce comparable regional warming effects.

9h2k3440.5k
Utah teapot 🫖UT|@SKYESHARKIE
Andy MasleyAM#1735|@ANDYMASLEY
Austen AllredAA#1540|@AUSTEN
Pete SkomorochPS#1482|@PETESKOMOROCH
190

NousResearch releases Hermes Agent v0.14.0 on May 16, 2026, with 808 commits, 633 merged pull requests, changes to 1,393 files, and 545 closed issues — NousResearch released Hermes Agent v0.14.0 as a foundation update with extensive code revisions. The version adds multi-agent Kanban boards, goal integration, X and Grok search, and a Codex CLI tool.

11h1.3k516230.2k
Bojan TunguzBT#687|@TUNGUZ
Teknium 🪽T🪽#259|@TEKNIUM
200

Pope Leo XIV approves an Interdicasterial Commission on Artificial Intelligence via May 12 rescript to examine AI advances and effects on humanity — Pope Leo XIV established a new Vatican interdicasterial commission to examine artificial intelligence advances and their effects on people and society. The move follows his recent signing of an AI encyclical set for release in the coming weeks.

16h2314529.6k
James ChamJC|@JAMESCHAM
Peter Wildeford🇺🇸🚀PW#1359|@PETERWILDEFORD
Tim HwangTH#1282|@TIMHWANG
Andrew CurranAC#517|@ANDREWCURRAN_
210

Approximately 10,000 employees and founders at OpenAI, Anthropic, xAI, and Nvidia have each accumulated over $20 million in wealth as AI compresses traditional tech employment disruption cycles for software engineers — Roughly 10,000 employees and founders at OpenAI, Anthropic, xAI, and Nvidia have each accumulated over $20 million in wealth. Many other software engineers now plan to move to higher abstraction layers in their roles within the next year.

6h1.9k306126.4k
shakoSH|@SHAKOISTSLOG
eigenrobotEI|@EIGENROBOT
kacheKA#488|@YACINEMTB
220

Anthropic retired its March 2024 Claude 3 Opus model in January 2026 while keeping access available on claude.ai and through an API form that approves all requests, unlike other decommissioned models — After retiring Claude 3 Opus in January 2026, Anthropic continues to offer the March 2024 model on claude.ai. Users can also request API access through a form that has approved all submissions so far, unlike other decommissioned models.

14h2242012k
KromemKR|@KROMEM2DOT0
w̸͕͂͂a̷͔̗͐t̴̙͗e̵̬̔̕r̴̰̓̊m̵͙͖̓̽a̵̢̗̓͒r̸̲̽ķ̷͔́͝W̸͕͂͂A̷͔̗͐|@ANTHRUPAD
Andrew CurranAC#517|@ANDREWCURRAN_
j⧉nusJ⧉#516|@REPLIGATE
230

Salvatore Sanfilippo, creator of Redis, thanked DeepSeek AI directly for making artificial intelligence and its underlying concepts available to a broader audience — Salvatore Sanfilippo, creator of the Redis database, thanked DeepSeek AI for making artificial intelligence tools and concepts available to a wider audience. His post highlighted the company's upcoming V4.1 and V4.1-Vision releases.

12h1.1k9366k
antirezAN|@ANTIREZ
kacheKA#488|@YACINEMTB
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
240

Lenny Rachitsky releases Lenny’s Podcast episode featuring Caitlin Kalinowski on her Apple, Meta, and OpenAI hardware leadership and AI moving into physical domains like humanoid robots — Caitlin Kalinowski’s experience leading hardware at Apple, Meta, and OpenAI illustrates how AI development is moving from software into physical systems such as humanoid robots. In the new Lenny’s Podcast episode she discusses her career building consumer electronics and robotics teams.

14h271201372.4k
Lenny RachitskyLR#1176|@LENNYSAN
Caitlin KalinowskiCK#993|@KALINOWSKI007
250

Yuchen Jin, who builds AI systems and products at Databricks, reports worsening GPU shortages as H100 prices exceed three-year-old levels and on-demand availability disappears due to major labs' multi-year contracts — University researchers and independent developers now struggle to access current-generation GPUs for their work. H100 prices exceed levels from three years ago and on-demand capacity has disappeared after major labs signed multi-year supply contracts.

2h76811643.1k
Vlado BozaVB|@BOZAVLADO
xlr8harderXL#1674|@XLR8HARDER
Yuchen JinYJ#427|@YUCHENJ_UW
260

Riley Brown documents Codex on macOS generating an emotionally moving summary from three years of personal text messages after instructions to incorporate direct quotes — Codex produced an emotionally moving summary after processing three years of personal text messages and including direct quotes from the conversations. The approach runs on macOS once the user grants file-access permissions.

6h754307156.9k
Riley BrownRB|@RILEYBROWN
Adam.GPTAD|@THEREALADAMG
Greg BrockmanGB#19|@GDB
270

Claude Code v2.1.143 running Opus 4.7 with a 1M context window executes a Bash command to fetch data for 1350 Pokémon from the PokeAPI and filters names ending in 'aw' within 11 seconds — Claude Code with a 1M context window accurately performs API data retrieval and filtering that direct prompts often get wrong. In a demo it fetched records for all 1,350 Pokémon from PokeAPI and returned names ending in 'aw' within 11 seconds.

11h4.5k532475.4k
RhysRH|@RHYSSULLIVAN
Peter Steinberger 🦞PS#495|@STEIPETE
280

LangSmith Engine Enables Always-On Self-Improvement For AI Agents

13h14110526.8k
krishdpiKR|@KRISHDPI
Dev AnonDA|@GENAIUPSTART
VivVI|@VTRIVEDY10
Harrison ChaseHC#739|@HWCHASE17
290

Max Novendstern tweets link indefinite optimism to Vitalik Buterin's Ethereum virtual machine and OpenAI's scaled transformers while contrasting Peter Thiel's strategic assessment — Max Novendstern's tweet links indefinite optimism to Vitalik Buterin's choice to build a virtual machine into Ethereum and OpenAI's decision to scale transformers. The post contrasts this view with Peter Thiel's assessment of the mindset as a weak strategy and extends it to stochastic hardware.

9h337109102.4k
Max NovendsternMN|@MNOVENDSTERN
Beff (e/acc)B(#839|@BEFFJEZOS
roonRO#59|@TSZZL
300

xAI SuperGrok Integrates With Hermes Agent For Seamless Access

22h8811.1k109k
Akshay 🚀A🚀|@AKSHAY_PACHAAR
Teknium 🪽T🪽#259|@TEKNIUM

Yesterday's Top Stories, May 17, 2026.

Posts: 2,295|Clusters: 474|Stories frozen at midnight PT
10

Dwarkesh Patel distinguishes intelligence as the ability to achieve goals across wide domains from raw power and ranks leaders like Donald Trump, Xi Jinping, and Vladimir Putin at the top — Discussions on advanced AI separate intelligence as abstract reasoning from the capacity to wield power and achieve goals. Political leaders such as Donald Trump and Vladimir Putin illustrate high real-world influence that does not require strong performance on scientific or conceptual tasks, while current AI training targets economically rewarded skills.

13h2.5k1k351k
Danielle Fong 🔆DF|@DANIELLEFONG
Oliver HabrykaOH#1914|@OHABRYKA
Nick DobosND#1894|@NICKADOBOS
Dan Shipper 📧DS#1410|@DANSHIPPER
Alexander TereninAT#1150|@AVT_IM
alth0u🧶AL#1114|@ALTH0U
Sayash KapoorSK#734|@SAYASHK
Séb KrierSK#505|@SEBKRIER
Dean W. BallDW#392|@DEANWBALL
EmadEM#167|@EMOSTAQUE
Dwarkesh PatelDP#70|@DWARKESH_SP
roonRO#59|@TSZZL
20

Ken Griffin of Citadel says AI agents complete complex market analysis and deal structuring tasks in hours or days that previously took teams of master's- and PhD-level finance professionals weeks or months — Citadel CEO Ken Griffin reports that AI agents now complete complex market analysis and deal structuring in hours or days. These tasks previously required teams of master's- and PhD-level professionals working for weeks or months.

18h54.7k23.5k18M
#1 COMMENTS4.8k#1 QUOTED857#1 VIEWED18M#1 LIKED54.7k#1 BOOKMARKED23.5k
Jeff HuberJH|@JEFFREYHUBER
TFTCTF|@TFTC21
Matt SchlichtMS|@MATTPRD
Daniel Eth (yes, Eth is my actual last name)DE#1943|@DANIEL_271828
bilalBI#1402|@BILALTWOVEC
Peter Wildeford🇺🇸🚀PW#1359|@PETERWILDEFORD
Beff (e/acc)B(#839|@BEFFJEZOS
Garry TanGT#270|@GARRYTAN
Elon MuskEM#76|@ELONMUSK
30

xAI completed training of its 1.5 trillion parameter Grok V9 foundation model, which Elon Musk described as a major upgrade over the 0.5 trillion parameter Grok V8 now running as version 4.3 — xAI has completed training of its 1.5 trillion parameter Grok V9 model, a major upgrade from the current 0.5 trillion parameter V8 version. The team will next add Cursor data through supplemental training and fine-tuning before a public release in three to four weeks.

23h6.8k483466.8k
Chubby♨️CH#1496|@KIMMONISMUS
Shaun MaguireSM#1333|@SHAUNMMAGUIRE
Lisan al GaibLA#980|@SCALING01
Beff (e/acc)B(#839|@BEFFJEZOS
Andrew CurranAC#517|@ANDREWCURRAN_
Bill Yuchen LinBY#341|@BILLYUCHENLIN
Elon MuskEM#76|@ELONMUSK
40

Mustafa Suleyman, Microsoft AI CEO, predicts AI will reach human-level performance on most professional tasks within 18 months resulting in full automation of white-collar roles such as accounting and legal work — Microsoft AI CEO Mustafa Suleyman predicts AI will reach human-level performance on most professional tasks within 18 months. This timeline points to full automation of white-collar roles such as accounting, legal work, marketing, and project management.

20h1.9k465258.9k
Chubby♨️CH#1496|@KIMMONISMUS
Pasquale MinerviniPM#713|@PMINERVINI
Leo BoytsovLB#567|@SRCHVRS
Gary MarcusGM#153|@GARYMARCUS
Christian SzegedyCS#43|@CHRSZEGEDY
50

Chamath Palihapitiya states that consulting firms like PwC and Accenture risk displacement by feeding usage data to Anthropic and OpenAI while those providers launch competing services — Consulting firms like PwC and Accenture risk displacement as OpenAI and Anthropic use client data from direct integrations to launch competing services. Chamath Palihapitiya and others point to routing requests via intermediaries like Databricks to retain data control.

12h3.4k3.3k1.2M
Yash PatilYP#1252|@YPATIL125
signüllSI#1124|@SIGNULLL
Chamath PalihapitiyaCP#747|@CHAMATH
Naveen RaoNR#440|@NAVEENGRAO
60

Richard Ngo, an independent AI researcher and philosopher focused on AGI safety, alignment, and governance, stated that Effective Altruism’s largest real-world effect has been to empower Anthropic through narratives, funding, and talent pipelines. — AI researcher Richard Ngo says Effective Altruism's main real-world effect has been building up Anthropic instead of its original goals. Support flowed through funding, narratives, and talent pipelines to the AI lab.

17h1k21684.9k
Anna Gát 🧭AG|@THEANNAGAT
Oliver HabrykaOH#1914|@OHABRYKA
Nathan is in Berkeley 🔎NI#1902|@NATHANPMYOUNG
Emmett ShearES#352|@ESHEAR
Leo GaoLG#290|@NABLA_THETA
Richard NgoRN#250|@RICHARDMCNGO
70

Dimitris Papailiopoulos reports that Claude Code flushes its KV cache after periods of inactivity, aligning with Memento paper findings on reconstruction challenges upon resumption. — Claude Code automatically flushes its KV cache after periods of inactivity, causing noticeably reduced effectiveness upon resumption. This forces the model to reconstruct prior context solely from tokens, consistent with findings from the Memento paper.

16h883666134.7k
Shital ShahSS#1073|@SYTELUS
Ben (no treats)B(#982|@ANDERSONBCDEFG
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
Dimitris PapailiopoulosDP#197|@DIMITRISPAPAIL
80

OpenAI's Jason Liu shares a draft GitHub post outlining methods to maximize Codex use by shifting from coding to broader knowledge work — OpenAI developer Jason Liu has published methods for applying the Codex AI model to a wider range of daily tasks beyond coding. His draft GitHub post describes core primitives and workstreams that users can adopt for tasks like note-taking and document creation.

8h2.5k4.1k204.8k
Mario ZechnerMZ|@BADLOGICGAMES
Adam.GPTAD|@THEREALADAMG
jasonJA#929|@JXNLCO
TiboTI#768|@THSOTTIAUX
90

Matthew Yglesias proposes conditioning approval of new data centers on operators setting aside 20% of GPUs as affordable compute for low-income agents — Matthew Yglesias proposed requiring new data centers to reserve 20% of GPUs for low-income compute as a condition for approval. Responses have compared the approach to existing rules for affordable housing in new developments.

9h6.5k250215.2k
Matthew YglesiasMY|@MATTYGLESIAS
Ben (no treats)B(#982|@ANDERSONBCDEFG
Zvi MowshowitzZM#918|@THEZVI
Bojan TunguzBT#687|@TUNGUZ
100

Figure's F.03 humanoid robot sorts packages at 2.83 seconds each against warehouse worker Aime's 2.79-second pace while accumulating 149,000 packages over 119 hours of autonomous operation — A Figure humanoid robot ran autonomously for 119 hours and sorted 149,000 packages in a warehouse test. It handled each package in 2.83 seconds, narrowly behind a human worker's 2.79-second average during the same shift.

12h4.5k538681.3k
Molly O’SheaMO|@MOLLYSOSHEA
Brett AdcockBA#688|@ADCOCK_BRETT
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
110

Fyodor Urnov, Professor of Molecular Therapeutics at Berkeley, tested Edison Scientific's deep literature mode by requesting a gene biology review and received a flawless 17-page PDF within 25 minutes — AI tools are generating detailed scientific literature reviews in minutes rather than through slower traditional journal processes. Berkeley professor Fyodor Urnov received a flawless 17-page gene biology PDF from Edison Scientific's deep literature mode in 25 minutes.

11h41128152.1k
Lior PachterLP|@LPACHTER
Fyodor UrnovFU|@URNOVFYODOR
Ben GolubBG#1447|@BEN_GOLUB
Sam RodriquesSR#1007|@SGRODRIQUES
Bojan TunguzBT#687|@TUNGUZ
120

Grok Imagine Generates Anime Video Of Girl Awakening Star Energy

23h28.5k1.7k10.1M
DéborahDÉ|@DVORAHFR
Elon MuskEM#76|@ELONMUSK
130

Google's Logan Kilpatrick posts that the model is the product as replies examine models operating as components inside agent-driven systems with continual learning and user experiences — Google engineer Logan Kilpatrick posted that AI models are the core product. Replies argue this view is outdated, with value now shifting to models that operate invisibly inside agent systems with continual learning and refined user experiences.

10h1.4k6188.9k
alex peysakhovichAP#1703|@ALEX_PEYS
TaelinTA#1047|@VICTORTAELIN
Alexander DoriaAD#867|@DORIALEXANDER
Logan KilpatrickLK#90|@OFFICIALLOGANK
140

Google AI Overview Responds As Viltrumite To Invincible Search

12h38.8k3k579.6k
Guangdong Salad🥗GS|@SALADSAIYAN
Minh Nhat Nguyen @ AIE SG 🇸🇬MN#1179|@MENHGUIN
150

Odyssey ML will livestream one or two world model releases tomorrow at 9:30 AM PT to clarify their trajectory and capabilities as GPU scaling continues — Odyssey ML will release one or two new world models during a livestream tomorrow. The 9:30 AM PT event will show how the models are progressing as the company scales up its GPU resources.

9h4688571.1k
Oliver CameronOC#1775|@OLIVERCAMERON
OdysseyOD#254|@ODYSSEYML
Nathan BenaichNB#242|@NATHANBENAICH
160

Gavin Leech, UK-based AI researcher and co-founder of the consultancy Arb, notes vision models are roughly 1000 times smaller than text models owing to language's data compression through compositional semantics and abstractions — AI vision models stay roughly 1000 times smaller than text models because language compresses complex information through abstractions and compositional semantics. Replies in the thread proposed image-based chain-of-thought reasoning as one route to more efficient visual processing.

21h1.9k476189.1k
gavin leech (Non-Reasoning)GL#1480|@GLEECH
1a3orn1A#1380|@1A3ORN
rohitRO#1220|@KRISHNANROHIT
170

Chamath Palihapitiya claims on the All-In podcast that Taiwan will lose strategic importance in semiconductor manufacturing within 18 months due to U.S. advances in 1-2 nanometer process nodes — US progress on domestic 1-2 nanometer semiconductor production is not expected to erode Taiwan's strategic role in chip manufacturing within the next 18 months. Industry observers note that TSMC still controls the vast majority of advanced process nodes, packaging, and supply chains used by firms like NVIDIA and Apple.

22h876235100.7k
Ramez NaamRN|@RAMEZ
Shanu MathewSM|@SHANUMATHEW93
Daniel JeffriesDJ#1988|@DAN_JEFFRIES1
Carlos E. PerezCE#1598|@INTUITMACHINE
180

Social media users reject claims that a new Utah AI data center would raise nighttime temperatures by 20 to 28 degrees as physically implausible — Social media users are rejecting viral claims that a new Utah AI data center would raise nighttime temperatures by 20 to 28 degrees statewide. They note that even intense wildfires reaching 2200°F do not produce comparable regional warming effects.

9h2k3440.5k
Utah teapot 🫖UT|@SKYESHARKIE
Andy MasleyAM#1735|@ANDYMASLEY
Austen AllredAA#1540|@AUSTEN
Pete SkomorochPS#1482|@PETESKOMOROCH
190

NousResearch releases Hermes Agent v0.14.0 on May 16, 2026, with 808 commits, 633 merged pull requests, changes to 1,393 files, and 545 closed issues — NousResearch released Hermes Agent v0.14.0 as a foundation update with extensive code revisions. The version adds multi-agent Kanban boards, goal integration, X and Grok search, and a Codex CLI tool.

11h1.3k516230.2k
Bojan TunguzBT#687|@TUNGUZ
Teknium 🪽T🪽#259|@TEKNIUM
200

Pope Leo XIV approves an Interdicasterial Commission on Artificial Intelligence via May 12 rescript to examine AI advances and effects on humanity — Pope Leo XIV established a new Vatican interdicasterial commission to examine artificial intelligence advances and their effects on people and society. The move follows his recent signing of an AI encyclical set for release in the coming weeks.

16h2314529.6k
James ChamJC|@JAMESCHAM
Peter Wildeford🇺🇸🚀PW#1359|@PETERWILDEFORD
Tim HwangTH#1282|@TIMHWANG
Andrew CurranAC#517|@ANDREWCURRAN_
210

Approximately 10,000 employees and founders at OpenAI, Anthropic, xAI, and Nvidia have each accumulated over $20 million in wealth as AI compresses traditional tech employment disruption cycles for software engineers — Roughly 10,000 employees and founders at OpenAI, Anthropic, xAI, and Nvidia have each accumulated over $20 million in wealth. Many other software engineers now plan to move to higher abstraction layers in their roles within the next year.

6h1.9k306126.4k
shakoSH|@SHAKOISTSLOG
eigenrobotEI|@EIGENROBOT
kacheKA#488|@YACINEMTB
220

Anthropic retired its March 2024 Claude 3 Opus model in January 2026 while keeping access available on claude.ai and through an API form that approves all requests, unlike other decommissioned models — After retiring Claude 3 Opus in January 2026, Anthropic continues to offer the March 2024 model on claude.ai. Users can also request API access through a form that has approved all submissions so far, unlike other decommissioned models.

14h2242012k
KromemKR|@KROMEM2DOT0
w̸͕͂͂a̷͔̗͐t̴̙͗e̵̬̔̕r̴̰̓̊m̵͙͖̓̽a̵̢̗̓͒r̸̲̽ķ̷͔́͝W̸͕͂͂A̷͔̗͐|@ANTHRUPAD
Andrew CurranAC#517|@ANDREWCURRAN_
j⧉nusJ⧉#516|@REPLIGATE
230

Salvatore Sanfilippo, creator of Redis, thanked DeepSeek AI directly for making artificial intelligence and its underlying concepts available to a broader audience — Salvatore Sanfilippo, creator of the Redis database, thanked DeepSeek AI for making artificial intelligence tools and concepts available to a wider audience. His post highlighted the company's upcoming V4.1 and V4.1-Vision releases.

12h1.1k9366k
antirezAN|@ANTIREZ
kacheKA#488|@YACINEMTB
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(#420|@TEORTAXESTEX
240

Lenny Rachitsky releases Lenny’s Podcast episode featuring Caitlin Kalinowski on her Apple, Meta, and OpenAI hardware leadership and AI moving into physical domains like humanoid robots — Caitlin Kalinowski’s experience leading hardware at Apple, Meta, and OpenAI illustrates how AI development is moving from software into physical systems such as humanoid robots. In the new Lenny’s Podcast episode she discusses her career building consumer electronics and robotics teams.

14h271201372.4k
Lenny RachitskyLR#1176|@LENNYSAN
Caitlin KalinowskiCK#993|@KALINOWSKI007
250

Yuchen Jin, who builds AI systems and products at Databricks, reports worsening GPU shortages as H100 prices exceed three-year-old levels and on-demand availability disappears due to major labs' multi-year contracts — University researchers and independent developers now struggle to access current-generation GPUs for their work. H100 prices exceed levels from three years ago and on-demand capacity has disappeared after major labs signed multi-year supply contracts.

2h76811643.1k
Vlado BozaVB|@BOZAVLADO
xlr8harderXL#1674|@XLR8HARDER
Yuchen JinYJ#427|@YUCHENJ_UW
260

Riley Brown documents Codex on macOS generating an emotionally moving summary from three years of personal text messages after instructions to incorporate direct quotes — Codex produced an emotionally moving summary after processing three years of personal text messages and including direct quotes from the conversations. The approach runs on macOS once the user grants file-access permissions.

6h754307156.9k
Riley BrownRB|@RILEYBROWN
Adam.GPTAD|@THEREALADAMG
Greg BrockmanGB#19|@GDB
270

Claude Code v2.1.143 running Opus 4.7 with a 1M context window executes a Bash command to fetch data for 1350 Pokémon from the PokeAPI and filters names ending in 'aw' within 11 seconds — Claude Code with a 1M context window accurately performs API data retrieval and filtering that direct prompts often get wrong. In a demo it fetched records for all 1,350 Pokémon from PokeAPI and returned names ending in 'aw' within 11 seconds.

11h4.5k532475.4k
RhysRH|@RHYSSULLIVAN
Peter Steinberger 🦞PS#495|@STEIPETE
280

LangSmith Engine Enables Always-On Self-Improvement For AI Agents

13h14110526.8k
krishdpiKR|@KRISHDPI
Dev AnonDA|@GENAIUPSTART
VivVI|@VTRIVEDY10
Harrison ChaseHC#739|@HWCHASE17
290

Max Novendstern tweets link indefinite optimism to Vitalik Buterin's Ethereum virtual machine and OpenAI's scaled transformers while contrasting Peter Thiel's strategic assessment — Max Novendstern's tweet links indefinite optimism to Vitalik Buterin's choice to build a virtual machine into Ethereum and OpenAI's decision to scale transformers. The post contrasts this view with Peter Thiel's assessment of the mindset as a weak strategy and extends it to stochastic hardware.

9h337109102.4k
Max NovendsternMN|@MNOVENDSTERN
Beff (e/acc)B(#839|@BEFFJEZOS
roonRO#59|@TSZZL
300

xAI SuperGrok Integrates With Hermes Agent For Seamless Access

22h8811.1k109k
Akshay 🚀A🚀|@AKSHAY_PACHAAR
Teknium 🪽T🪽#259|@TEKNIUM