Lukas Ziegler (@lukas_m_ziegler)
로봇 없이 300개 이상의 선형 액추에이터로 축구를 구현한 'Magic Field'를 소개한다. 고정 자동화만으로 공 제어를 정교하게 수행하는 흥미로운 AI/로보틱스 응용 사례로, 물리적 시스템 제어의 새로운 가능성을 보여준다.
https://x.com/lukas_m_ziegler/status/2045746818617651384
#automation #robotics #linearactuators #aideployment #innovation
Lukas Ziegler (@lukas_m_ziegler) on X
Linear actuators playing football! ⚽️
You can keep scrolling...
The "Magic Field" is a pretty impressive display of ball-handling skill, showcasing what fixed automation can achieve.
There are no robots at all.
Instead of robots, over 300 linear actuators precisely control
🚀✨ Just what the world needs: another tool promising to make AI deployment "seconds" fast, because everyone knows AI agents are like instant noodles! 🍜🤖 GitHub's endless parade of
#buzzwords makes you wonder if "managing AI agents" is just clicking buttons until something happens. 🙄🔍
https://github.com/clawrun-sh/clawrun #AIDeployment #InstantNoodles #GitHub #AIManagement #HackerNews #ngated
GitHub - clawrun-sh/clawrun: Deploy and manage AI agents in seconds.
Deploy and manage AI agents in seconds. Contribute to clawrun-sh/clawrun development by creating an account on GitHub.
Rohan Paul (@rohanpaul_ai)
Citadel Securities는 생성형 AI의 채택이 지수적 성장 대신 역사적 S-곡선을 따르고 결국 정체될 것이라고 주장합니다. 경제적·물리적 제약(예: 컴퓨트 자원, 데이터센터 등)이 성장 한계를 만들며, 인간 노동을 대체하려면 막대한 컴퓨팅 파워와 인프라가 필요하다고 지적합니다.
https://x.com/rohanpaul_ai/status/2034003178589720929
#citadel #generativeai #aideployment #infrastructure
Rohan Paul (@rohanpaul_ai) on X
Citadel Securities: Generative AI adoption will follow a historical S-curve, eventually plateauing, rather than growing exponentially.
Because economic and physical boundaries will halt exponential growth.
Displacing human labor demands massive compute power, data centers, and
Deploying AI to billions is far harder than building the model. This article explains the real engineering challenges behind planet-scale machine learning.
https://hackernoon.com/why-scaling-ai-to-billions-is-near-impossible #aideployment
Why Scaling AI to Billions Is Near Impossible | HackerNoon
Deploying AI to billions is far harder than building the model. This article explains the real engineering challenges behind planet-scale machine learning.
Kakao Corp. launches “ChatGPT for Kakao,” enabling 50 million KakaoTalk users to access OpenAI’s ChatGPT directly in-app, accelerating the company’s everyday AI strategy and expanding integration with core services.
#YonhapInfomax #KakaoCorp #ChatGPT #OpenAI #AIDeployment #KakaoTalkUsers #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket https://en.infomaxai.com/news/articleView.html?idxno=87628
ChatGPT Now Available on KakaoTalk Chat Tab—Kakao Accelerates Everyday AI Integration
Kakao Corp. launches “ChatGPT for Kakao,” enabling 50 million KakaoTalk users to access OpenAI’s ChatGPT directly in-app, accelerating the company’s everyday AI strategy and expanding integration with core services.
Tekoäly ei voi korjata huonoa maaperää: Kuinka yritykset voivat valmistella sisäisen ekosysteeminsä tekoälyn onnistuneeseen käyttöönottoon: Vaikka yritysjohtajiin usein liitetään stereotypioita siitä, että he keskittyvät vain tulokseen, tuore tutkimus on osoittanut, että yli 80 % yrityksistä ei seuraa tekoälymenojensa tuottoprosenttia. Toisaalta...
https://www.unite.ai/fi/ai-cant-fix-bad-soil-how-companies-can-ready-their-internal-ecosystem-for-successful-ai-deployment/?utm_source=tiedotteet&utm_medium=feed #AIDeployment #business #dataco
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