15:[[46378065,{"by":"creativesage","descendants":37,"id":46378065,"kids":[46379606,46379443,46379691,46379290,46380859,46380985,46379509,46381466,46478178,46383330,46477673,46387220,46404164,46381483,46385663,46381994,46380539,46381758,46380647,46393422,46379045,46380865,46378960,46386183,46384197],"score":51,"text":"$16","time":1766601795,"title":"Google Cloud Run cost me $4,676 in 6 weeks with zero traff","type":"story"}],[44419091,{"by":"nateb2022","descendants":176,"id":44419091,"kids":[44420081,44420269,44420154,44420132,44422389,44420815,44420130,44421020,44419686,44419596,44423985,44423902,44422826,44420245,44423653,44421525,44420278,44420140,44421899,44422235,44424311,44426432],"score":432,"time":1751254641,"title":"Gridfinity: The modular, open-source grid storage system","type":"story","url":"https://gridfinity.xyz/"}],[44249417,{"by":"FinnKuhn","descendants":210,"id":44249417,"kids":[44250784,44249786,44249642,44250324,44250233,44249805,44250055,44249652,44253824,44251697,44249660,44250829,44249669,44250133,44251544,44249425,44250889,44253568,44251189,44259805,44253149,44252941,44250428,44249649,44256309,44250593,44250577,44254590,44250880,44249858,44252096,44252017,44249908],"score":176,"time":1749660408,"title":"Dolly Parton's Dollywood Express","type":"story","url":"https://thetransitguy.substack.com/p/dolly-parton-runs-a-train-busier"}],[43918437,{"by":"thibautg","descendants":326,"id":43918437,"kids":[43922139,43919117,43921894,43925045,43923127,43919362,43926011,43925690,43922765,43919326,43925988,43924691,43921219,43919224,43919825,43924872,43919109,43924085,43924000,43919278,43919443,43922081,43925940,43923043,43926488,43919724,43924347,43925243,43921977,43924388,43926970,43926680,43934795,43919077,43923470,43922942,43921965],"score":217,"time":1746638905,"title":"Samsung is paying $350M for audio brands B&W, Denon, Marantz and Polk","type":"story","url":"https://www.engadget.com/audio/samsung-is-paying-350-million-for-audio-brands-bowers--wilkins-denon-marantz-and-polk-131514754.html"}],[43111112,{"by":"jerpint","descendants":11,"id":43111112,"kids":[43115227,43187585,43112989,43116259,43115191,43132536],"score":22,"text":"Just change arxiv.org to arxiv-txt.org in the URL to get the paper info in markdown

Example:

Original URL:\nhttps://arxiv.org/abs/1706.03762

Change to:\nhttps://arxiv-txt.org/abs/1706.03762

To fetch the raw text directly, use https://arxiv-txt.org/raw/abs/1706.03762, this will be particularly useful for APIs and agents","time":1740025434,"title":"Show HN: ArXiv-txt, LLM-friendly ArXiv papers","type":"story","url":"https://www.arxiv-txt.org/"}],[42966958,{"by":"ritvikpandey21","descendants":145,"id":42966958,"kids":[42977621,42978179,42977803,42981811,42977446,42983909,42982019,42980985,42980715,42982879,42977558,42981865,42977643,42982810,42982320,42977495,42978200,42977713,42977949,42978140,42981112,42977763,42981449,42977562,42977559,42983347,42981968,42981595,42977552,42981650,42981537,42982264,42983582,42983095,42986120,42981105,42977962,42978087,42981845,42977690,42978593,42979249,42977838,42979122,42977527,42966959,42966984],"score":218,"text":"Document ingestion and the launch of Gemini 2.0 caused a lot of buzz this week. As a team building in this space, this is something we researched thoroughly. Here’s our take: ingestion is a multistep pipeline, and maintaining confidence from LLM nondeterministic outputs over millions of pages is a problem.","time":1738879443,"title":"Why LLMs still have problems with OCR","type":"story","url":"https://www.runpulse.com/blog/why-llms-suck-at-ocr"}],[42351101,{"by":"thunderbong","descendants":314,"id":42351101,"kids":[42355731,42351310,42351350,42351210,42351736,42351928,42351171,42357414,42352069,42351424,42353020,42351404,42352792,42352502,42352984,42355766,42353021,42353354,42356324,42351460,42352724,42351923,42356199,42351537,42352848,42354597,42354212,42352884,42354842,42351503,42351421,42355502,42352904,42359023,42355040,42352433,42351326,42353079,42352505,42354408,42353300,42351182,42353856,42352839,42353479,42353282,42361872,42353357,42352195,42353958,42354024,42352103,42352725,42356457,42352377,42352923,42351232,42355184,42351465],"score":610,"time":1733591492,"title":"Just: Just a Command 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to Reason with LLMs","type":"story","url":"https://openai.com/index/learning-to-reason-with-llms/"}],[41292757,{"by":"instagraham","descendants":59,"id":41292757,"kids":[41322514,41329677,41325021,41297558,41322854,41323267,41322119,41292758,41324781,41325380,41324423,41324684,41332249,41292851,41324949,41322557],"score":213,"time":1724087413,"title":"DRAKON","type":"story","url":"https://en.wikipedia.org/wiki/DRAKON"}],[41253584,{"by":"stareatgoats","descendants":15,"id":41253584,"kids":[41254190,41254738,41253888,41254646,41255586,41297861,41253699,41254210,41253591],"score":42,"time":1723703642,"title":"Programming vs. Software Engineering (Rust vs. Go)","type":"story","url":"https://kerkour.com/programming-vs-software-engineering-rust-vs-go"}],[41175586,{"by":"whalesalad","descendants":311,"id":41175586,"kids":[41176392,41175965,41175931,41180387,41176417,41177735,41176041,41176348,41176029,41176341,41176245,41177196,41178183,41176384,41175952,41178263,41176363,41178832,41176013,41176252,41179297,41179150,41177819,41177321,41183333,41182107,41176066,41176634,41185585,41177688,41179167,41178453,41179336,41178838,41208533,41179026,41176395,41177779,41179130,41206604,41175890,41176095],"score":479,"time":1722979812,"title":"Please do not attempt to simplify this 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back","type":"story","url":"https://spectrum.ieee.org/shipt"}],[40873598,{"by":"Bryan_YU","descendants":126,"id":40873598,"kids":[40874336,40876874,40874466,40874299,40875844,40874075,40875664,40877545,40874461,40877426,40874407,40874390,40874403,40874521,40874219,40874212,40877108,40874489,40874539,40902724,40874683,40874356,40877939,40874286,40885343,40877817,40888167,40874296,40877247,40874439,40874201,40874453,40875614,40873599,40877134,40876960,40874411,40876956,40873831,40875597,40874131],"score":75,"time":1720085786,"title":"Kanban vs. Scrum: What's the difference?","type":"story","url":"https://www.leiga.com/post/kanban-vs-scrum"}],[40866311,{"by":"ent_superpos","descendants":97,"id":40866311,"kids":[40867209,40867440,40867741,40868480,40867154,40867583,40867355,40867129,40867878,40867406,40868456,40867193,40876249,40867118,40867497,40868616,40872949,40867749,40867318,40867314,40884888,40866519,40867628,40867850,40868338,40868326,40869403,40867584,40871074,40866982],"score":154,"text":"I am currently working as a senior full-stack web software engineer. I have a BSc in Computer Science, and on my own, I've been learning more about AI/ML/deep learning. I really enjoy working with it, and I'd love to find a way to work on AI stuff professionally. The problem is that I've been working as a web developer professionally for about 10 years now, and I have no idea how I would pivot to more of a AI/data science role.

Does anyone have an experience of making this transition? As a web dev, I am senior level, but I'm sure I'd have to start from scratch on some things in the AI space. At least I have a good foundation of programming in general, math, and computer science.","time":1720017313,"title":"Ask HN: Has anyone successfully pivoted from web dev to AI/ML development?","type":"story"}]]

user:	jmartin2683
created:	December 2, 2012
karma:	400
about:	Senior Engineer @ Zelis Building data tooling and ML inference infrastructure with Rust james@martn.io