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.”
Category Archives: nlp
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”
Are you a CRM company? Full automation of CRM!
Are you a CRM company? Why be left behind in the AI Race? As with Claudeforce — Salesforce and Anthropic partner. Which AI startup is your CRM company tying up with? Claude’s intelligence in Salesforce can make CRM more human-like: no more feeding data in the pre-AI era; the aim should be to talk toContinue reading “Are you a CRM company? Full automation of CRM!”
Loops versus Prompts (Eg. Natural Calamaties)
Prompt is a one time call to the LLM. You can use RAG with prompts but that does not get better and repeat itself for improvements. And most of us have to reprompt. Something that improve the regular reprompting? Can we set a loop programitacially or via another prompt (yes a big set of instructionsContinue reading “Loops versus Prompts (Eg. Natural Calamaties)”
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.”
This week with AI and Tech
AI is a race now; let’s see who is running where this week. Meta Meta Muse Glimmer is a 30-billion-parameter model that doesn’t require as much computing power. Muse Glimmer has been evaluated on multiple standard datasets. It now a open-weight model, meaning the neural network weights will be available for anyone to use. ThisContinue reading “This week with AI and Tech”
AI Credit Cards — Part II (Future is here- AI Credit Cards- Needed or Not Needed!)
#ai #future #money Future is here- AI Credit Cards- Needed or Not Needed! Watch the video below. Subscribe AI featured cards or AI Enabled Cards AI features such as voice, text, and video can help users access insights into their financial data. These can include suggestions or recommendations for what to buy or where toContinue reading “AI Credit Cards — Part II (Future is here- AI Credit Cards- Needed or Not Needed!)”
Water and Electricity Supply Rationalized by AI Automation- A Note
#futurist #future Abstract: Daily transactions on electricity and water software’s can be fed into an AI model, along with log books of complaints that are handled by employees in these departments. Once the software is shared with gen AI, AI can provide its insight, along with other details from grid, power supplies of kinds, andContinue reading “Water and Electricity Supply Rationalized by AI Automation- A Note”
Anthropic Fable 5/Mythos 5
Fable 5/Mythos 5 are out now! How does it do? Do you like it? What’s good and what’s not is here! Not everyone is praising it, especially when it downgrades to Opus 4.8 in between the promptings and the use of user prompts. Read more details here. — Mythos 5 has also been released, butContinue reading “Anthropic Fable 5/Mythos 5”
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”
Artificial Intelligence and Future 