Arno Huetter

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Arno Huetter

Arno Huetter

@ArnoHu

Coding since 1984, Journeyman in History, Apprentice in Philosophy. Senior DevDir @Dynatrace. Opinions expressed are solely my own.

Österreich Katılım Kasım 2008
352 Takip Edilen246 Takipçiler
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Science girl
Science girl@sciencegirl·
Miniatur Wunderland in Germany spent 11 years building a $5 million slotless magnetic track where tiny cars race like Formula 1
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Lex Fridman
Lex Fridman@lexfridman·
Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics. It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community: 1. Sebastian Raschka (@rasbt) 2. Nathan Lambert (@natolambert) They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters. This was a whirlwind conversation: everything from the super-technical to the super-fun. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 1:57 - China vs US: Who wins the AI race? 10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning? 21:38 - Best AI for coding 28:29 - Open Source vs Closed Source LLMs 40:08 - Transformers: Evolution of LLMs since 2019 48:05 - AI Scaling Laws: Are they dead or still holding? 1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training 1:37:18 - Post-training explained: Exciting new research directions in LLMs 1:58:11 - Advice for beginners on how to get into AI development & research 2:21:03 - Work culture in AI (72+ hour weeks) 2:24:49 - Silicon Valley bubble 2:28:46 - Text diffusion models and other new research directions 2:34:28 - Tool use 2:38:44 - Continual learning 2:44:06 - Long context 2:50:21 - Robotics 2:59:31 - Timeline to AGI 3:06:47 - Will AI replace programmers? 3:25:18 - Is the dream of AGI dying? 3:32:07 - How AI will make money? 3:36:29 - Big acquisitions in 2026 3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta 3:53:35 - Manhattan Project for AI 4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters 4:08:15 - Future of human civilization
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Ross_co_Jones 
Ross_co_Jones @anonimo_jones·
Lose Yourself de Eminem cantada a través de 331 películas, es una locura!! Un video hecho por THE UNUSUAL SUSPECT .
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Saganism
Saganism@Saganismm·
Carl Sagan’s prediction about America, made 31 years ago.
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GCHQ
GCHQ@GCHQ·
#OnThisDay in 2023, the pioneering work of engineer Tommy Flowers was recognised with an @englishheritage blue plaque 🔵 Flowers and his team designed COLOSSUS at Dollis Hill, which was later used to break German cipher systems at @bletchleypark in #WWII.
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Daily Stoic
Daily Stoic@dailystoic·
"No man is more unhappy than he who never faces adversity. For he is not permitted to prove himself." — Seneca
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Hollow Crown Fans
Hollow Crown Fans@HollowCrownFans·
"For God's sake, let us sit upon the ground And tell sad stories of the death of kings; How some have been deposed; some slain in war, Some haunted by the ghosts they have deposed; Some poison'd by their wives: some sleeping kill'd;" - Richard II (A3, S2) #ShakespeareSunday
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FIFA World Cup
FIFA World Cup@FIFAWorldCup·
Austria defeat England and are headed to the Quarter-finals 🇦🇹 #U17WC
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miss white
miss white@cinecitta2030·
Wake up babe the Austrians are doing their demonic medieval Krampus parades again
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wta
wta@WTA·
AN INCREDIBLE COMEBACK 💪 17-year-old Lilli Tagger saves three match points and beats Golubic 6-1, 4-6, 7-5 to reach the final in Jiujiang 👏 #JiangxiOpen
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