@gabegreenberg I love the JD TBH. Pretty exciting and challenging. Would love to take this on. Been doing something similar from the last couple of months. Email: [email protected]
Big fan of AI but not a big fan of AI in interviewing/screening candidates.
A bot cannot judge the enthusiasm, the aspirations of a human.
Thoughts?
https://t.co/6oDHQrpLnj
#AI#Alliance#HR#Hiring#Jobs#unemployment#interview
New supply chain attack this time for npm axios, the most popular HTTP client library with 300M weekly downloads.
Scanning my system I found a use imported from googleworkspace/cli from a few days ago when I was experimenting with gmail/gcal cli. The installed version (luckily) resolved to an unaffected 1.13.5, but the project dependency is not pinned, meaning that if I did this earlier today the code would have resolved to latest and I'd be pwned.
It's possible to personally defend against these to some extent with local settings e.g. release-age constraints, or containers or etc, but I think ultimately the defaults of package management projects (pip, npm etc) have to change so that a single infection (usually luckily fairly temporary in nature due to security scanning) does not spread through users at random and at scale via unpinned dependencies.
More comprehensive article:
https://t.co/EJAZbqAPIQ
Claude Code and other services are taxed 18%, so $100 service -> $118.
Government shud consider waiving taxes on such services, a practical way to show that the govt truly cares about the IT industry in India
#IT#IndianIT#StartupIndia#DigitalIndia#Innovation#TaxReform#GST
RAG is not just one technique, it is an entire ecosystem of intelligence.
From context-aware assistants to domain-specific systems, here are 16 types of RAG models shaping the next wave of AI innovation -
1. Standard RAG
The foundation of all RAG systems - combines retrieval and generation for question answering and knowledge synthesis.
2. Agentic RAG
Empowers AI agents to retrieve and act autonomously, perfect for assistants that need dynamic, tool-based reasoning.
3. Graph RAG
Uses knowledge graphs for relational reasoning - ideal for expert systems in law, medicine, and semantic search.
4. Modular RAG
Breaks retrieval, reasoning, and generation into independent components - enabling collaborative, scalable AI workflows.
5. Memory-Augmented RAG
Adds persistent external memory for context retention, powering long-term chatbots and personalized experiences.
6. Multi-Modal RAG
Processes text, images, and audio together - perfect for video summarization, captioning, and multi-modal AI tools.
7. Federated RAG
Enables privacy-preserving retrieval from decentralized sources, used in healthcare and secure enterprise systems.
8. Streaming RAG
Performs real-time retrieval and generation, ideal for financial dashboards, live feeds, and social media monitoring.
9. ODQA RAG (Open-Domain QA)
Handles large, diverse datasets - ideal for search engines and intelligent virtual assistants.
10. Contextual Retrieval RAG
Maintains session-level awareness, great for conversational AI and customer support chatbots.
11. Knowledge-Enhanced RAG
Integrates structured domain data, useful for legal, educational, and professional knowledge applications.
12. Domain-Specific RAG
Custom-tailored for specific industries - like finance, healthcare, or legal analytics.
13. Hybrid RAG
Combines multiple retrieval approaches, bridging structured and unstructured data for high precision.
14. Self-RAG
Introduces self-reflection to refine its own answers, enabling AI models to fact-check and improve reasoning autonomously.
15. HyDE RAG (Hypothetical Document Embeddings)
Generates hypothetical documents to guide retrieval, excellent for complex or niche query contexts.
16. Recursive / Multi-Step RAG
Performs multiple retrieval-generation loops, enabling advanced problem-solving and reasoning chains.
From simple retrievals to self-improving AI reasoning loops, RAG is evolving fast.
Which type do you think will dominate enterprise AI systems in 2026?
@claudeai whatโs wrong with the latest Mac update? The prompt does nothing just keeps in processing.
On further prompts, it says Failed to load session.
#Claude#claudedesktop#macos
@claudeai the IDE stopped after the latest update on Mac Tahoe
Claude for Mac version 1.0.2768
I just see processing icons and nothing happens after the prompt.
Whatโs happening?
#claudebroken#claude#ide
Why is there no transparency in terms of model usage in @cursor_ai ?
"You've hit your usage limit for <model>" but what then?
Will you reset the limit after some time? Am I done for the day/month/year? What?
#Cursor#Coding#LLMs
The Model Context Protocol (MCP) was born open. ๐
GitHub has been there since the early days, contributing servers, registry tooling, and steering committee guidance.
Now, MCP is officially moving to the Linux Foundation.
This is a massive moment for agents, tools, and the future of AI development. ๐ We break down what's next. โฌ๏ธ
https://t.co/CAUhhcUugB
You're about to overcome something you've been dealing with. Your mind and heart will soon be at peace again. Be patient. Everything will be okay.๐ฑ๐๏ธ