nlp – Artificial Intelligence and Future

Dario Amodei- Not Enough. Stop Recursive Self-Improvement Models.

Look, I write for Good AI or Useful AI, and I also write against Bad AI or Harmful AI. Dario Amodei, the CEO of Anthropic, said in his recent public statements that he wants all AI companies to slow down. Dario Amodei, they say, “the world is a mirror.” So why doesn’t Dario Amodei startContinue reading “Dario Amodei- Not Enough. Stop Recursive Self-Improvement Models.”

AI can kill humans by making Virus. Ex-AI researcher at Anthropic says.

Summary- Even mistakes like the coronavirus could have been avoided if we had woken up sooner. This is the time to secure the world, birds, and humans from a virus like the coronavirus, which we all were afraid of. Recently, Ebola spread quickly. We need solutions and steps to stop the spread of viruses. NotContinue reading “AI can kill humans by making Virus. Ex-AI researcher at Anthropic says.”

What is AI Race?What is winning AI Race? And Why?

#takeover #future #governance #ai What is the AI race, and why does winning it matter? The AI race refers to developing useful, meaningful AI for practical use. In future AI makers can inject their own story into the AI, which can affect the audience. This isn’t being practiced yet. But with China’s most recent andContinue reading “What is AI Race?What is winning AI Race? And Why?”

AI and Tech this week

Greetings everyone, How are you doing? Here are some top AI topics this week. OpenAI — GPT-6 Astra: A new generation of intelligence is here now with you now. It’s available to ChatGPT users and through the OpenAI API, Microsoft Azure, and AWS Bedrock. It scored 99.9% on ARC-AGI-3, 98% on FrontierMath Tier 4, andContinue reading “AI and Tech this week”

Automating CLI/Bash Scripts for MCP and other settings with an LLM

In this article, we discuss ground-level automation for Bash scripts required when adding an MCP server and likes to the directory structure. Right now, we have to get the app code from GitHub, run npm, and adjust the directory path to update the mcp.json and rules.json files. A better way of getting this done shouldContinue reading “Automating CLI/Bash Scripts for MCP and other settings with an LLM”

This week with key AI. Weekly Summary.

In case you missed out individual updates on my social media. Here’s this week’s update. Chinese Alibaba Qwen3.8-Max Google Gemini Robotics ER 2: Making robots human-like. Gemini Robotics ER 2 (The Gemini Embodied Reasoning (ER) model) — It’s an intelligence layer- not a robot. It has demonstrated its performance on the robots mentioned below. ItContinue reading “This week with key AI. Weekly Summary.”

Elon Musk and Anthropic Deal. Check on Safe AI versus Unsafe AI.

#ai #jobs #futurist Elon Musk and Anthropic’s deal to use SpaceX’s computing power is big news. Anthropic, the maker of Mythos AI, which is thought as a threat to world cybersecurity, should be kept within the boundaries of safe AI. It must be ensured that SpaceX’s Colossus 1 facility in Tennessee, which would be providedContinue reading “Elon Musk and Anthropic Deal. Check on Safe AI versus Unsafe AI.”

Making Archetypal Analysis Practical

The paper is by Christian Bauckhage and Christian Thurau Summary: Archetypes are a convex combination of data, and data points are a convex combination of archetypes. Archetypal Analysis (AA) can be applied to various computer science and real-world applications. Some applications include clustering, dimensionality reduction, and text summarization. However, AA suffers a setback when computationalContinue reading “Making Archetypal Analysis Practical”

Nested Learning: Part II

#ai #llm #deeplearning #ml Here is the video lecture, subscribe for updates, https://www.youtube.com/watch?v=qDwAm1f0JBY Some concerns, it catches the forgetting behavior of LLMs, the context once gone can be looked into nested memories and hence can be revised if nested parameters and memories are referenced. The pre training can’t be edited but the computation of temporaryContinue reading “Nested Learning: Part II”

RAG Engineering-based Query Specific Summarization

Here, I present the idea behind Query-Specific Summarization and RAG, and how it can be implemented. Use case. And how to test it. Retrieval Augmented Generation is very well used in organizations with their own data. Many organizations have their own data that they do not want to upload to generic servers where a genericContinue reading “RAG Engineering-based Query Specific Summarization”