View profile for Eduardo Ordax

🤖 Generative AI Lead @ AWS ☁️ (150k+) | Startup Advisor | Public Speaker | AI Outsider

𝐓𝐡𝐞 𝐍𝐞𝐱𝐭 𝐁𝐢𝐠 𝐋𝐞𝐚𝐩 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠: 𝐀 𝐍𝐞𝐰 𝐏𝐚𝐫𝐚𝐝𝐢𝐠𝐦 𝐛𝐲 𝐊𝐚𝐫𝐩𝐚𝐭𝐡𝐲! 👨🏿💻 OpenAI Co-founder Andrej Karpathy recently highlighted an exciting shift in computing: "𝘞𝘦'𝘳𝘦 𝘦𝘯𝘵𝘦𝘳𝘪𝘯𝘨 𝘢 𝘯𝘦𝘸 𝘤𝘰𝘮𝘱𝘶𝘵𝘪𝘯𝘨 𝘱𝘢𝘳𝘢𝘥𝘪𝘨𝘮 𝘸𝘩𝘦𝘳𝘦 𝘭𝘢𝘳𝘨𝘦 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘮𝘰𝘥𝘦𝘭𝘴 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯 𝘭𝘪𝘬𝘦 𝘊𝘗𝘜𝘴, 𝘶𝘴𝘪𝘯𝘨 𝘵𝘰𝘬𝘦𝘯𝘴 𝘪𝘯𝘴𝘵𝘦𝘢𝘥 𝘰𝘧 𝘣𝘺𝘵𝘦𝘴, 𝘢𝘯𝘥 𝘢 𝘤𝘰𝘯𝘵𝘦𝘹𝘵 𝘸𝘪𝘯𝘥𝘰𝘸 𝘪𝘯𝘴𝘵𝘦𝘢𝘥 𝘰𝘧 𝘙𝘈𝘔." Welcome to the era of the Large Language Model OS (LMOS)! 💡 This approach may redefine how we interact with computers, making AI even more integrated and intuitive in our lives. What are your thoughts on this groundbreaking shift? Share your insights below!👇 #lmos #karpathy #ai

We have been moving up the abstraction layer for our tools since forever, this time is no different except for the exponential increase in calorie per person we will consume using this technology.

Sandhya C.

Data & AI Professional | 2X AWS Certified

1y

Very informative

Martin Fjeldbonde

AGI-Proofing Audit | Founder of SpockBench | Partner & Nordic COO, Deloitte Audit & Assurance

1y

This shift could lead to more intuitive and seamless interactions with technology, where the AI anticipates our needs and adapts in real-time. It’s not just about making tasks easier; it’s about transforming our relationship with technology into something more fluid and responsive

Marcelo Grebois

☰ Infrastructure Engineer ☰ DevOps ☰ SRE ☰ MLOps ☰ AIOps ☰ Helping companies scale their platforms to an enterprise grade level

1y

The shift towards Large Language Model OS is groundbreaking, paving the way for a more integrated AI experience. How do you perceive this innovative advancement in computing? Eduardo Ordax

Raja Ranjith

Cloud/ML/DL/AI/IoT/IIoT Enthusiast|Snowflake SQUAD Member|AWS Community Builder (ML)|3xAzure|5xGCP|1xAlibaba|Passionate Learner|Group Technical Architect (Solution/System Architect) @HCLTech Over 24+ Years of Experience

1y

Insightful!

Jérémy Ravenel

⚡️ Building bridges @naas.ai Universal Data & AI Platform | Research Associate in Applied Ontology | Senior Advisor Data & AI Services

1y

You still need the underlying infrastructure but it's a good way to see it.

Basavaraj N Hirebidari

AI, ML Consultant | Generative AI & ML Freelancer | Former ML Engineer (GenAI) | Sharing Insights on AI & Personal Development

1y

Eduardo Ordax For me, the computation power is been holding me not to try many ideas, this is super useful,

Sorin Gatea

Management Consultant, Executive MBA, Senior Enterprise Architect, Data Science, Digital Strategy and Innovation, Product Management

1y

Having a bit of fun is not bad. UJLMOS would do even better - Universal Jumbo LMOS The thing is - what do you do with everything else that requires compute and is out of the LLM's playground???

Like
Reply
See more comments

To view or add a comment, sign in

Explore content categories