15:[[48538229,{"by":"vrnvu","descendants":512,"id":48538229,"kids":[48538851,48538994,48538690,48538486,48546037,48540342,48539979,48539672,48538904,48540271,48538573,48547080,48539555,48539177,48539231,48538607,48540215,48538894,48539042,48539052,48538821,48541346,48541265,48538924,48539573,48538683,48541776,48539356,48554521,48540385,48538784,48538696,48540661,48540651,48538641,48541965,48538720,48542332,48549721,48538677,48539049,48549893,48539521,48540316,48539165,48546527,48541093,48540620,48539418,48538932,48540895,48544710,48538742,48540765,48548304,48539638,48541875,48539680,48538672,48541111,48539912,48543241,48541070,48540194,48538808,48542026,48539151,48542150,48539969,48543390,48545039,48540582,48544868,48550056,48566329,48540297,48542093,48540045,48545599,48540339,48541340,48538831,48539918,48541709,48538969,48538357,48541524,48545559,48540576,48539407,48539392,48549823,48541404,48538699,48545959,48541807,48545799,48538719,48539493,48540337,48541902,48541525,48540424,48539561,48540652,48539344,48543865,48538684,48542084,48540267,48541258,48538892,48539382,48540544,48541882,48538556,48538703,48538532,48539018,48538623,48539108,48542357,48538522,48540846,48541663,48539696,48540178,48539839,48540273],"score":755,"time":1781511832,"title":"What happened to nerds?","type":"story","url":"https://mrmarket.lol/what-the-fuck-happened-to-nerds/"}],[48431770,{"by":"ksec","descendants":11,"id":48431770,"kids":[48432312,48432254,48432035,48432125,48436025,48432325,48432262,48432263],"score":21,"time":1780806183,"title":"Europe raised me to fail and here is why","type":"story","url":"https://twitter.com/georgewritess/status/2062907763353690237"}],[48392004,{"by":"littlexsparkee","descendants":791,"id":48392004,"kids":[48393790,48393800,48396418,48397896,48393796,48394357,48401234,48403815,48394126,48393054,48398103,48393361,48398360,48395777,48396599,48396894,48401936,48395182,48394980,48403239,48397375,48404383,48394083,48393272,48401492,48395268,48397186,48394228,48394373,48400348,48402428,48395106,48398110,48393376,48408921,48393132,48396996,48406722,48400286,48401919,48403735,48395110,48398179,48401162,48404664,48396980,48396699,48393242,48398509,48394808,48405160,48412379,48395586,48393599,48395999,48396804,48398178,48405209,48395140,48404277,48399059,48401998,48395539,48402539,48419456,48396193,48394200,48397588,48399098,48395390,48398095,48408554,48395535,48397838,48400481,48396039,48395357,48396273,48395579,48409262,48397329,48399255,48396860,48394995,48396302,48393691,48395531,48395055,48398827,48399154,48400582,48398993,48394512,48399798,48395167,48398284,48406434,48395234,48393902,48402915,48393130,48395654,48394725,48403372,48442385,48404970,48398622,48401603,48398991,48414643,48394349,48395126],"score":834,"time":1780532282,"title":"Failing grades soar with AI usage, dwindling math skills in Berkeley CS classes","type":"story","url":"https://www.dailycal.org/news/campus/academics/failing-grades-soar-as-professors-see-greater-ai-usage-dwindling-math-skills-in-uc-berkeley/article_16fad0bf-02cb-4b8c-8d88-888ffd9f8608.html"}],[48319607,{"by":"HeartStrings","descendants":4,"id":48319607,"kids":[48319742,48319806,48320229],"score":2,"text":"All written content post 2024 has been directly or indirectly affected by GPTisms.

Even if authors claim they don’t even know about AI (liars), they surely have conversed with people who use it or read a news article once that 100000% was ran thru a gpt.

Therefore the authors cognitive worldcloud has been indirectly compacted in a very insidious way due to pluribus tier exposure.

This is semantic ablation (somone made up this term: is good).

Only cure is consuming genuine human content created strictly before 2024. Preferably before 2000 when internet became a thing.

This way you will train your language related synapses to venture further away for LLM worldcloud concentration and steer yourself into originality which is the only thing that will matter in future earth ridden with NPCs, where every cognitive and physical effort has been replaced by the machines.

Actually, don’t consume any content made post-2024 period.","time":1780034675,"title":"Don't read any books written post-2024","type":"story"}],[48310215,{"by":"kassovic","descendants":23,"id":48310215,"kids":[48318068,48319267,48320130,48314056,48319535],"score":28,"time":1779981536,"title":"Gradle Is Javamaxxing","type":"story","url":"https://blog.gradle.org/gradle-is-javamaxxing"}],[48219583,{"by":"nilen","descendants":1,"id":48219583,"kids":[48219762],"score":2,"time":1779352804,"title":"CAISI states open models lag behind the American frontier, with the gap widening","type":"story","url":"https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro"}],[48218915,{"by":"reed1234","descendants":11,"id":48218915,"kids":[48218962,48219748,48219751,48230717,48224433,48222885,48219085,48223736,48218937,48218973,48222794],"score":5,"time":1779347000,"title":"Do you enjoy reading any type of AI written text?","type":"story"}],[48116781,{"by":"fprog","descendants":641,"id":48116781,"kids":[48118720,48117510,48117414,48122207,48117779,48117186,48117331,48117974,48118168,48118549,48125888,48117058,48117165,48119317,48117208,48117735,48117406,48117794,48117644,48117478,48118046,48117168,48118033,48117448,48117379,48117354,48130825,48118075,48117176,48119394,48117356,48119229,48119882,48117205],"score":326,"time":1778635771,"title":"Starship V3","type":"story","url":"https://www.spacex.com/updates#starship-v3"}],[48111545,{"by":"tambourine_man","descendants":1571,"id":48111545,"kids":[48114078,48121229,48116334,48112060,48119765,48112040,48113491,48111926,48112330,48116004,48112017,48116218,48114995,48112245,48114416,48112592,48114123,48112167,48112301,48119188,48112671,48112556,48113604,48115417,48112206,48115212,48113124,48112299,48113887,48115198,48112619,48112910,48112147,48111964,48120254,48111903,48112861,48115359,48123176,48112115,48112270,48113784,48112454,48112240,48116025,48114281,48120451,48112282,48120386,48112409,48121090,48113560,48111558,48118015,48112216,48112091,48112246,48113295,48111879,48113312,48115461,48116539,48114987,48122189,48115084,48120882,48112319,48112367,48113809,48114720,48117000,48114282,48112477,48112051,48117678,48112820,48114756,48116483,48119815,48113414,48117441,48112997,48112546,48124967,48117567,48112737,48132196,48115118,48113398,48116618,48120639,48119226,48119403,48112818,48113656,48112779,48118910,48131975,48114864,48112758,48116147,48114506,48112352,48112661,48114251,48114989,48116375,48116449,48118277,48112777,48116952,48112036,48117052,48113871,48113348,48125024,48112735,48113256,48121103,48123088,48116739,48116753,48116033,48113228,48115206,48112484,48118469,48121720,48117626,48118384,48112653,48112389,48112714,48114840,48114736,48114832,48116234,48112157,48112950,48116545,48112559,48114177,48118233,48112396,48113314,48113202,48113701,48114014,48113064,48116343,48115730,48113257,48112945,48125283,48112023,48115356,48116181,48112566,48112107,48114198,48113040,48112408,48117711,48113057,48119009,48113196,48115787,48118954,48120098,48122970,48112755,48118199,48112052,48112497,48112168,48115072,48117851,48114184,48117809,48112092,48114665,48112971,48111907,48113244,48114205,48113978,48116672,48115483,48116674,48115604,48114084,48116386,48112081,48115820,48115577,48113567,48115837,48118606,48113409,48114042,48120453,48112528,48114934,48121985,48115910,48122146,48119059,48121049,48115241,48116563,48112730,48121902,48113724,48116515,48116359,48112609,48124643,48117266,48117066,48113051,48115578,48113824,48116258,48113102,48136637,48114367,48113439,48113743,48118101,48131969,48117969,48115516,48116405,48118950,48118392,48111945,48112432,48120065,48115562,48118578,48112743,48113026,48111840,48117122,48112752,48120645,48112113,48112491,48117496,48112404,48122627,48115698,48114294,48114430,48115485,48112138,48114230,48115070,48112884,48117761,48112065,48113924,48115248,48115696,48116628,48111986,48115320,48113136,48121310,48114468,48116506,48118076,48121574,48113637,48113239,48112365,48113162,48121612,48119706,48116973,48131634,48119716,48111989,48116471,48113631,48114188,48114022,48124108,48112384,48113052,48116123,48118636,48113045,48119623,48112363,48113682,48113659,48120282,48115204,48114945,48114631,48112834,48112633,48120290,48113113,48115071,48112234,48113804,48115606,48111886,48114366,48115238,48115504,48113842,48116985,48112916,48115424,48112677,48112686,48112801,48116596,48116434,48113209,48112931,48116366,48117757,48113546,48112858,48112368,48113137,48115530,48114762,48118334,48113786,48114526,48117919,48125229,48112232,48119171,48120632,48117692,48112307,48114353,48120261,48112481,48112514,48114546,48113576,48113931,48114635,48114347,48114061,48120049,48114323],"score":932,"text":"https://www.reddit.com/r/Android/comments/1tb8xls/introducin...","time":1778607456,"title":"Googlebook","type":"story","url":"https://googlebook.google/"}],[48018080,{"by":"dreadsword","descendants":195,"id":48018080,"kids":[48022357,48019093,48018862,48021130,48019196,48024356,48018884,48018979,48018980,48019753,48019527,48019393,48020038,48022294,48021105,48021241,48021098,48018608,48020931,48022003,48021524,48021423,48023290,48023416,48019118,48018763,48019961,48019540,48018762,48021313,48020677],"score":245,"time":1777955784,"title":"Kids can bypass some age checks with a drawn-on mustache","type":"story","url":"https://www.theregister.com/2026/05/04/uk_online_safety_act_age_checks_subvert/"}],[48019219,{"by":"john-doe","descendants":1143,"id":48019219,"kids":[48019508,48027578,48019542,48029104,48021232,48020871,48031357,48028634,48024665,48020543,48019499,48019448,48019456,48019444,48020328,48019427,48019500,48019734,48025431,48033657,48034889,48019555,48019505,48028240,48019789,48026414,48020637,48019766,48030135,48023200,48031168,48022293,48022735,48020324,48027133,48032126,48028805,48029681,48019572,48020360,48025894,48023016,48028471,48026683,48030441,48020590,48037308,48019843,48026685,48033010,48022951,48019631,48025410,48035821,48025294,48019949,48024756,48041578,48028804,48030610,48029051,48041125,48035775,48026209,48025465,48038834,48036355,48019891,48025193,48028554,48019972,48022942,48028283,48024727,48021929,48028860,48027721,48020380,48026736,48030204,48049443,48022268,48019495,48035588,48023756,48019763,48019460,48037552,48035853,48020828,48024979,48025813,48036403,48028302,48027139,48030328,48023488,48023314,48024084,48033682,48023292,48020209,48022450,48020654,48037248,48027852,48022482,48031829,48028819,48042483,48024981,48028959,48027140,48024034,48028188,48036505,48019711,48080295,48080292,48029038,48025407,48022458,48020487,48019675,48029995,48020465,48026150,48020964,48029810,48021016,48019492,48034081,48019640,48019573,48047462,48028091,48019289,48030857,48036488,48020190,48033847,48028327,48019816,48072920,48042721,48025771,48026549,48042093,48021530,48026708,48019870,48021610,48021434,48019533,48023266,48022103,48019552],"score":1755,"time":1777966495,"title":"Google Chrome silently installs a 4 GB AI model on your device without consent","type":"story","url":"https://www.thatprivacyguy.com/blog/chrome-silent-nano-install/"}],[48002136,{"by":"alattaran","descendants":281,"id":48002136,"kids":[48002640,48002559,48002782,48006241,48006112,48005667,48002519,48005694,48005009,48003614,48012498,48005976,48002545,48008919,48005093,48002470,48003887,48005373,48005355,48008526,48004228,48007979,48004484,48008413,48002480,48003142,48002825,48012188,48004235,48006658,48004481,48006225,48006360,48002496,48025189,48002913,48004307,48007147,48008482,48002949,48005582,48004137,48005884,48002473,48003579,48006354,48005879,48006778,48004386,48003029,48002702,48002530,48002137,48101079,48008045,48012371,48006613,48006346,48008591,48010406,48013576,48067428,48151442,48007976,48004179,48004629,48003183,48003085],"score":678,"time":1777846400,"title":"DeepClaude – Claude Code agent loop with DeepSeek V4 Pro","type":"story","url":"https://github.com/aattaran/deepclaude"}],[47994012,{"by":"brendanmc6","descendants":295,"id":47994012,"kids":[47994080,47996548,47994757,47994970,47994809,47995590,47996257,47994433,47994416,47994602,47994926,47994423,48000270,47996546,47994502,47995728,47994548,47996854,47995586,47997818,47994796,47996569,47997230,47996125,47998497,47994713,47994214,47994715,47995308,47995370,47997021,48002070,47995743,47994492,47995092,47999637,48001093,47995293,47997555,47995219,47996447,47994999,47994788,47995258,47994846,47995805,47994760,47994738,47995064,47995948,47995603,47996864,47997763,47995695,47996001,47997030,47995722,47995892,48000639,47995498,47995619],"score":287,"time":1777790018,"title":"Specsmaxxing – On overcoming AI psychosis, and why I write specs in YAML","type":"story","url":"https://acai.sh/blog/specsmaxxing"}],[47823267,{"by":"ganitam","descendants":2,"id":47823267,"kids":[47823313,47823334,47909285],"score":4,"time":1776594909,"title":"Formally speaking, \"Transpiler\" is a useless word","type":"story","url":"https://people.csail.mit.edu/rachit/post/transpiler-formal/"}],[47792538,{"by":"nikitoci","descendants":95,"id":47792538,"kids":[47799096,47793658,47797596,47806253,47793326,47793220,47793705,47793121,47797601,47810226,47800699,47804533,47804324,47805529,47806586,47799027,47792787,47805716,47803835,47792822,47793207,47800982,47794187,47793876,47799777,47794178,47794306,47799899,47801507,47800764,47804182],"score":307,"time":1776345457,"title":"Cloudflare's AI Platform: an inference layer designed for agents","type":"story","url":"https://blog.cloudflare.com/ai-platform/"}],[47800738,{"by":"evo_9","descendants":247,"id":47800738,"kids":[47801872,47801662,47801512,47808222,47801425,47801803,47801538,47803528,47801929,47801276,47803817,47801148,47801292,47803798,47801970,47801103,47802450,47802727,47802213,47809388,47803281,47801573,47803435,47802832,47802939,47805429,47802205,47807133,47806943,47803447,47803998,47809349,47801268,47802742,47801626,47801423,47813752,47803397,47801136,47803233,47812988,47804206,47803299,47803061,47804082,47801578,47810088,47801376,47801631,47801110,47801600,47802099,47801749,47802013,47801901,47809238,47801150,47801474],"score":348,"time":1776381333,"title":"Everything we like is a psyop?","type":"story","url":"https://techcrunch.com/2026/04/16/everything-we-like-is-a-psyop/"}],[47796469,{"by":"mikeevans","descendants":559,"id":47796469,"kids":[47796658,47796645,47798076,47798721,47796824,47796754,47803549,47806785,47800845,47796664,47800772,47796627,47797550,47797129,47803329,47802130,47799125,47796953,47804184,47797994,47805282,47800580,47798429,47806731,47796836,47796562,47811591,47800086,47796743,47797932,47797387,47804002,47804551,47797398,47796623,47805092,47804683,47798460,47803974,47801636,47799767,47804873,47805305,47798355,47796829,47796677,47803555,47801935,47797783,47796599,47796617,47798887,47800419,47796656,47796823,47799061,47796661,47799090,47801365,47799498,47797320,47808954,47803624,47796650,47799189,47797497,47799197,47803615,47803891,47803041,47802282,47815306,47801897,47797430,47798599,47800622,47796710,47798917,47796572,47798057,47798500,47796820],"score":1001,"time":1776359539,"title":"Codex for almost everything","type":"story","url":"https://openai.com/index/codex-for-almost-everything/"}],[47525243,{"by":"zdw","descendants":280,"id":47525243,"kids":[47529673,47528246,47528023,47528050,47528493,47527855,47533232,47528322,47529468,47528049,47528130,47528578,47528417,47530772,47532280,47528703,47565050,47532637,47529491,47532279,47536787,47535065,47529199,47529931,47534172,47527980,47536421,47530362,47530414,47528584,47528771,47527866,47533243,47531905,47565453,47528029,47534115,47534479,47528902,47532348,47529434,47528338,47541422,47532474,47529233,47529501,47529472,47528389,47527886,47556969,47537278,47529972,47529016,47539602,47533929,47533124,47528536,47528604,47528174],"score":649,"time":1774484918,"title":"Shell Tricks That Make Life Easier (and Save Your Sanity)","type":"story","url":"https://blog.hofstede.it/shell-tricks-that-actually-make-life-easier-and-save-your-sanity/"}],[47386813,{"by":"fred1268","descendants":193,"id":47386813,"kids":[47387180,47387116,47387359,47386841,47387374,47387158,47387352,47387477,47388312,47398081,47387220,47387224,47388940,47390431,47398052,47400993,47387464,47387365,47387361,47417240,47387192,47404788,47420585,47408389,47390913,47387342,47387445,47392113,47387307,47397648,47397478,47387212,47390288,47391943,47388191,47412729,47404029,47389023,47392178,47390241,47390906,47438989,47395566,47386863,47429029,47387215,47398708,47388270,47398920,47387127,47394423,47387160,47397590,47390353,47387328,47388299,47392231,47387087,47388110,47387077,47387340,47387425,47387259,47387528,47389209,47392455,47419866,47387141,47387182,47387277,47387239,47387115,47397727,47391744,47390351,47387317,47428820,47388608,47389058,47387267,47393416,47387135,47393405,47389876,47390219,47386991,47414269,47397423,47442181,47396937,47387330,47400415,47391482,47387920,47391897],"score":244,"text":"I stumble upon a post from shannoncc called "I'm 60 years old. Claude Code has re-ignited a passion", and it made me think. I am also (almost) 60, but AI just killed the passion. I remember all the pre-AI days, where I was enjoying coding during the day, the evening, the weekends and the vacations. This is no more, while others have their "passion re-ignited".

I would argue it depends on what you enjoy: the journey or the destination. I have always enjoyed the journey, I think people having a blast nowadays are enjoying the destination. AI gave us more destinations, but less journey. It is not worse or better, just different.","time":1773578122,"title":"I'm 60 years old. Claude Code killed a passion","type":"story"}],[47357528,{"by":"NomNew","descendants":29,"id":47357528,"kids":[47362440,47363608,47362311,47361546,47361657,47360725,47361674,47361155,47366794,47363318,47361862,47361133,47361648],"score":60,"time":1773351529,"title":"Does Where You're Born Matter More Than How Hard You Work?","type":"story","url":"https://www.decodeecon.com/p/does-where-youre-born-matter-more"}],[47061614,{"by":"spzb","descendants":415,"id":47061614,"kids":[47102226,47107485,47102971,47102323,47104258,47102687,47104732,47103096,47102152,47104116,47102320,47102785,47103606,47102336,47108927,47110055,47103192,47104426,47102606,47102678,47062663,47106451,47104402,47103213,47105494,47110234,47103664,47102315,47104691,47103215,47103396,47118971,47107047,47103564,47106419,47102778,47106171,47115586,47102402,47103776,47105568,47107556,47103797,47110527,47104485,47113694,47107346,47102053,47109882,47103669,47102478,47104753,47104415,47108034,47103867,47102290,47102793,47103073,47123612,47105384,47110273,47108784,47106736,47102906,47104054,47108949,47110183,47108334,47108229,47102148,47104997,47106780,47107383,47113396,47102243,47109009,47105395,47102457,47104945,47110474,47109785,47109487,47106581,47109521,47103490,47107997,47110099,47110668,47103727,47105193,47104317,47109625,47102195,47102232,47103101,47103846],"score":793,"time":1771426618,"title":"How far back in time can you understand English?","type":"story","url":"https://www.deadlanguagesociety.com/p/how-far-back-in-time-understand-english"}],[47086181,{"by":"sidnarsipur","descendants":455,"id":47086181,"kids":[47086634,47090825,47087147,47087187,47087367,47086555,47102601,47096893,47086532,47092371,47087021,47094620,47088168,47087427,47086855,47086583,47087717,47086564,47091143,47086948,47093999,47086576,47089386,47086874,47089202,47096517,47087440,47090153,47088532,47101784,47086639,47087347,47087491,47086797,47100912,47087620,47089825,47090835,47088082,47091842,47090715,47103781,47094073,47086712,47088298,47094176,47093465,47086826,47096575,47094825,47091066,47087512,47086549,47096346,47089168,47095328,47087409,47086706,47103568,47103573,47088102,47086469,47094251,47086903,47099551,47087050,47086814,47091261,47087454,47086949,47086632,47089128,47091946,47086539,47086523,47086641,47091932,47087480,47091768,47091311,47086653,47090989,47092916,47096660,47087258,47086878,47087664,47086587,47087188,47093010,47091236,47087866,47091817,47091572,47086927,47086851,47089079,47086862,47094991,47086694,47086573,47087082,47088072,47087016,47091573,47097400,47087088,47088654,47087080,47101587,47094150,47097141,47087355,47087807,47087382,47086676,47097763,47086455,47088285,47094949,47091404,47090965,47089561,47090196,47099200,47087858,47087547,47098543,47103604,47086880,47086930,47086817,47086614],"score":847,"time":1771583572,"title":"The path to ubiquitous AI (17k tokens/sec)","type":"story","url":"https://taalas.com/the-path-to-ubiquitous-ai/"}],[46970694,{"by":"cdrnsf","descendants":4,"id":46970694,"kids":[46970910,46972261,46971235],"score":5,"time":1770782725,"title":"It's Time to Rage Against the AI Music Machine","type":"story","url":"https://time.com/7338205/rage-against-ai-generated-music/"}],[46954920,{"by":"tiny-automates","descendants":366,"id":46954920,"kids":[46956716,46955169,46955524,46955418,46955592,46956540,46956945,46960544,46955382,46958849,46955575,46955148,46955204,47009920,46956434,46956634,46956254,46956654,46967061,46956465,46958972,46958711,46958957,46966566,46958567,46960673,46964985,46956032,46965677,46957713,46957092,46960844,46954985,46955859,46955914,46955714,46957376,46957456,46956257,46960562,46959621,46958355,46955551,46958094,46964592,46958102,46958998,46959105,46956468,46955559,46956459,46956953,46957171,46955766,46958169,46958618,46958832,46962694,46955657,46964055,46961928,46963174,46966601,46957326,46957319,46966504,46959757,46958765,46954921,46959618,46955405],"score":544,"time":1770693437,"title":"Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs","type":"story","url":"https://arxiv.org/abs/2512.20798"}],[46910612,{"by":"grigio","descendants":4,"id":46910612,"kids":[46923170,46910623,46911579,46910843],"score":2,"text":"I've been experimenting with AI assistants and their "memory" features, but I'm finding them opaque and unreliable.

Instead, I've switched to keep important context in .md files that I explicitly reference when I need or when I have to recall them. This gives me:

Full visibility into what's in context\nNo mystery recalls from weeks ago\nEasier debugging when behavior drifts\nPredictable token usage\nThe downside is manual maintenance, but it feels more reliable than hoping the system remembered correctly.

Do you use built-in memory features? Or do you manage context explicitly through files/RAG/other methods? What's working for you?","time":1770368613,"title":"Ask HN: Do you use LLM memory features?","type":"story"}]]

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