Back

Vishu Bheda

 • 

Medial • 2d

𝗜 𝘀𝗽𝗲𝗻𝘁 𝟰+ 𝗵𝗼𝘂𝗿𝘀 𝗿𝗲𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗬𝗖 𝗸𝗲𝘆𝗻𝗼𝘁𝗲. And I realized — we’ve been looking at LLMs the wrong way. They’re not just “AI models.” They’re a new kind of computer. • LLM = CPU • Context window = memory • Orchestration of tools + compute = like how OS manages resources The ecosystem already looks like old OS battles: • OpenAI, Anthropic, Gemini = Windows/macOS • Llama, Qwen, DeepSeek = Linux • Apps (Cursor, Notion AI, etc.) = cross-platform, can run on any LLM backend Switching between GPT, Claude, or Gemini? → literally just a dropdown. But here’s the key insight: We’re basically back in the 1960s of computing. • Compute is expensive → everything lives in the cloud • Users are thin clients → just pinging infra over APIs • No GUI yet → prompting feels like a terminal • No universal shell → only apps, wrappers, hacks And unlike electricity, computers, or the internet (which started in govt/enterprise first)… LLMs went straight to consumers. Billions got access before big corporations even figured them out. That’s crazy. So no — LLMs aren’t just tools or APIs. They’re a foundational computing layer. A programmable OS for intelligence. We’re still very early. The personal LLM moment hasn’t happened yet… but it will.

6 Replies
37
38
Replies (6)

More like this

Recommendations from Medial

Image Description

Parampreet Singh

Python Developer 💻 ... • 5m

3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-

See More
1 Reply
5
Image Description

Comet

#freelancer • 13d

LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c

See More
Reply
3
16
1
Image Description
Image Description

Ayush Maurya

AI Pioneer • 7m

" Most of the AI tools are just AI wrappers " Under the hood is just : Open AI Chat GPT Claude Gemini Llama Or just any other LLM, What your AI app uses from one of these ?

2 Replies
3
Image Description
Image Description

Kimiko

Startups | AI | info... • 3m

Gemini used to be the most poorly integrated LLM Now Gemini Gems are showing up in Docs & Sheets Crazy how fast google 's AI products have improved!

7 Replies
4
14
Image Description

Chamarti Sreekar

Fcuk imposter syndro... • 25d

Master LLMs without paying a rupee. LLMCourse is a complete learning track to go from zero to LLM expert — using just Google Colab. You’ll learn: – The core math, Python, and neural network concepts – How to train your own LLMs – How to build and

See More
Reply
3
6
1

Ayush Maurya

AI Pioneer • 7m

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

See More
Reply
4
Image Description
Image Description

Kimiko

Startups | AI | info... • 3m

Google DeepMind just dropped AlphaEvolve‼️ A Gemini powered coding agent that evolves algorithms and outperforms AlphaTensor. It delivers: — 23% matrix speedup — 32.5% GPU kernel boost — 0.7% global compute recovery Using Gemini Flash + Pro, it re

See More
1 Reply
10
1
Image Description

Sarthak Gupta

Developer • 4m

🚀 For the first time in LLM History! Introducing Agentic Compound LLMs in AnyLLM. What are agentic LLM's ? Agentic LLMs have access to all the 10+ llms in anyllm and know when you use any one of them to perform a specific task. They also have acces

See More
8 Replies
4

Mukesh Jha

Mapping AI to Use-ca... • 1y

Are there any data scientists here? What new ways are you using large language models (LLMs) in your everyday tasks? Do you think we should include LLM topics in data science courses? If so, what should we focus on teaching? For example: - The bas

See More
Reply
3

Mitsu

extraordinary is jus... • 3m

Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: • Build with LLMs • RAG & agents • Dataset engineering • Evaluation metrics that matter This isn’t just theory. It’s how to build. #AI #LLM #RAG #Tec

See More
Reply
16

Download the medial app to read full posts, comements and news.