#Praud Brahmin 🚩| AI enthusiast | Automation advocate | Streamlining workflows for efficiency. Sharing insights on ML and how tech transforms industries!
@theskindoctor13 Criticism should be answered with facts, not labels. A spokesperson's job is to explain policy, address concerns, and build trust—not dismiss every opposing view as a conspiracy. Mature debate strengthens democracy and public confidence.
Claude controlling tradingview live — switching symbols, writing Pine Script, batch scanning futures, replay trading, drawing levels. All from the terminal.
Still rough edges but the vision is clear.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'CLAUDE'
2. Like and Retweet this post
3. Follow me @marryevan999 (so i can DM you)
Tsinghua and Ant Group Researchers Unveil a Five-Layer Lifecycle-Oriented Security Framework to Mitigate Autonomous LLM Agent Vulnerabilities in OpenClaw
The research team have conducted a comprehensive security analysis of the OpenClaw autonomous LLM agent framework, identifying critical vulnerabilities across its entire operational lifecycle. Their study reveals that OpenClaw’s "kernel-plugin" architecture, centered on the pi-coding-agent, is susceptible to multi-stage systemic risks such as skill poisoning, indirect prompt injection, memory poisoning, and intent drift.
To address these threats, the research team proposed a five-layer, lifecycle-oriented defense architecture—comprising Foundational Base, Input Perception, Cognitive State, Decision Alignment, and Execution Control layers—designed to replace fragmented point solutions.
This framework utilizes advanced technical enablers, including eBPF for kernel-level sandboxing, Merkle-tree structures for memory integrity validation, and symbolic solvers for formal plan verification, to secure an agent’s complete operational trajectory against complex adversarial attacks.....
Full analysis: https://t.co/pr2U6kDoUA
Paper: https://t.co/jC56CBljIX
@AntGroup@Tsinghua_Uni
Still sourcing suppliers manually? Opening 20 tabs, copying data, chasing quotes?
Yeah… that’s broken.
I built AutoProcure AI — an autonomous web agent that:
• Searches real supplier websites
• Clicks, scrolls, and explores listings
• Fills RFQs automatically
@Tiny_Fish
Key takeaway: HDFC remains "systemically important" per RBI, with sound financials.
Full story on chairman exit & market reaction 👇 Read & RT! #HDFCChairResigns#IndianMarkets
https://t.co/d4sgmydWkJ
🚨 HDFC Bank shares drop 8.7% as Chairman Atanu Chakraborty resigns over "ethics concerns"! Cites practices not aligning with his values. RBI steps in: No governance issues found. What's next for India's top lender?
#HDFCBank#StockMarket#Nifty50
https://t.co/d4sgmydWkJ
RBI appoints Keki Mistry as interim chairman. CEO denies power struggles; board says no specifics from Chakraborty. Stock hits 52-week low but rebounds slightly. Investors watching closely post-merger.
#BankNifty#RBI#FinanceNews
Perplexity CEO Aravind Srinivas just shattered the greatest illusion of the AI arms race.
The entire market is waiting for a single, god-like superintelligence to win the entire board.
The physics of compute are forcing the exact opposite outcome.
Models are not converging into a single monopoly.
They’re violently fracturing into hyper-specialized execution nodes.
Srinivas: “Towards the end of 2025, what happened was models started specializing. Even within coding, which you think might be a specialization, OpenAI’s Codex models and Anthropic’s Claude models are very different in terms of what they’re good at.”
Bet your entire enterprise architecture on a single AI provider?
You’re hardcoding your own ceiling.
You don’t want a generalized model that’s “okay” at everything.
You want a swarm of apex specialists.
One ruthlessly optimized for syntax.
One for visual synthesis.
One for predictive reasoning.
The future is not one AI.
It’s the instantaneous orchestration of the absolute best compute for the exact task at hand.
Platform lock-in is suicide.
Srinivas: “Enterprise users are always selecting multiple different models all the time. That’s actually one of the value propositions of the Perplexity product. You don’t have to feel locked into one model provider, you don’t have to have one horse in the race.”
Traditional tech giants are desperately trying to trap users inside their specific algorithmic ecosystem.
Winning operators completely bypass the vendor war by becoming model-agnostic.
When the foundational intelligence of the world is leapfrogging itself every three months, brand loyalty is a massive liability.
The operators winning the next decade won’t care whether OpenAI, Anthropic, or Google trained the model.
They’ll plug into an agnostic orchestration layer that autonomously routes to whichever specialized network currently dominates that exact sector of the board.
The highest-leverage position is no longer building the intelligence.
It’s directing the orchestra.
Srinivas: “This is one particular skill, writing is another skill, being good at images and videos is another skill. You can hope that Perplexity figures out which model is best for what purpose, and you just have to come to the product and use it.”
Multi-trillion-dollar hyperscalers burning billions fighting the model wars.
Sovereign orchestrator bypasses the entire war.
Harvests the output of all of them.
You don’t need to be an expert in the underlying architecture of a dozen different foundation models.
You just need to command the routing engine.
When AI transitions from a monolithic product into a fractured grid of specialized utility nodes, the ultimate monopoly belongs to the orchestrator that abstracts the complexity.
Foundation model builders became interchangeable plumbing.