Sid_Siva

[elvis @omarsar0]

// Agents Do Not Fail Alone //

Very nice open-source eval tool to check agent reliability.

Lots of cool ideas in there.

(bookmark it)

What's the problem?

Context engineering has become central to building reliable agents but it remains almost entirely unmeasured.

Instructions, tools, memory, retrieved knowledge, guardrails, and untrusted inputs all accumulate in the context, and when that gets weak the agent drifts, hallucinates, misuses tools, becomes vulnerable to injection, and burns tokens.

This work validates context-engineering quality as an independent leading indicator of agent reliability. The measurement lives in ProofAgent-Harness, open-source infrastructure that scores context with multi-juror consensus across seven criteria, covering role clarity, guardrail coverage, instruction consistency, tool schema quality, grounding sufficiency, injection hardening, and token efficiency.

The context score is isolated from behavioral metrics and release decisions, so the prediction is not smuggled in. Holding frontier LLM agents fixed and varying only their operating context, each criterion predicts its matching outcome.

Why you want to consider doing these checks:

> Grounding sufficiency predicts hallucination resistance.
> Guardrail coverage predicts manipulation resistance.
> Tool-schema quality predicts tool use.

Paper: https://t.co/gBHlhUKCiB

Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

[Sid_Siva @sid_siva_]

@marryevan999 Claude

[Marry Evan @marryevan999]

I AM QUITTING MY JOB TO GO FULL IN CLAUDE

Just asked him to:

"Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy"

Turned $2K into $12K in one night
Monitored ~1k+ wallets

I just realized that there are many arbitrage bots that I can't beat without code knowledge

But I can find them and copy

So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot

It's not a script and not even the bot, it's an AI agent that is improving with each found wallet

Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings

70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit

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)

[Z.ai @Zai_org]

Introducing GLM-4.6: Advanced Agentic, Reasoning and Coding Capabilities

As our new flagship model, GLM-4.6 brings significant advancements across real-world coding, long-context processing (up to 200K tokens), reasoning, search, writing, and agentic applications.

API: https://t.co/IcoRb30vY7
Subscription: https://t.co/Nk8Y98Il7s
Weights: https://t.co/JAUslrY2dk
Try it now: https://t.co/WCqWT0raFJ
Tech Blog: https://t.co/auZkrtOsYh

[taran adarsh @taran_adarsh]

DHANUSH - KRITI SANON - AANAND L RAI: 'TERE ISHK MEIN' TEASER IS HERE – 28 NOV 2025 RELEASE... The much-awaited teaser of #TereIshkMein – starring #Dhanush and #KritiSanon – is now LIVE.

The film releases in #Hindi and #Tamil on 28 Nov 2025.

Directed by #AanandLRai... Produced by #AanandLRai, #HimanshuSharma, #BhushanKumar, and #KrishanKumar.

Music by #ARRahman... Lyrics by #IrshadKamil... Written by #HimanshuSharma and #NeerajYadav.

[Sid_Siva @sid_siva_]

@Sitara_AI7 Social

[Sid_Siva @sid_siva_]

@FromRag2riches @grok could you please suggest

[LangChain @LangChain]

⚡ FastAPI LangGraph Agent Template

Production-ready template for building secure AI agents with FastAPI and LangGraph. Features Docker support, monitoring tools, and multi-LLM compatibility through LangChain's ecosystem.

Start building production agents 🔧
https://t.co/yUPFo7qwps

[el.cine @EHuanglu]

text to film AI is coming faster than you imagine

this new OpenCreator AI can turn your simple idea into film clips with one click, idea -> script -> storyboard -> video all on its own and..

the node based canvas make it even more professional

step by step tutorial:

[Tibo @tibo_maker]

Claude’s own team released a full guide for prompt engineering.

Everyone who wants to build without coding should see this.

Great lessons in there. Adding my favorite points from the vid.

[Shruti @heyshrutimishra]

90% of people are using Grok 3 wrong...

They open a tab, type a question, get a decent response… and move on.

Meanwhile, power users are automating HOURS of work - with Grok 3.

Here’s what they’re doing differently: (🔖 Must Bookmark)

[elvis @omarsar0]

NEW: OpenAI announces new tools for building agents.

Here is everything you need to know:

[LlamaIndex 🦙 @llama_index]

Connect your LlamaIndex agents to any Model Context Protocol server!

We're closely following progress on the Model Context Protocol, an open-source effort to make it easy to discover and use tools. Using our MCP integration, you can use the tools exposed by any MCP-compatible server in your LlamaIndex agent, in just one line of code!

Install the integration: https://t.co/3hViiJkmEW

See a full demo: https://t.co/KyIGhLVZkg

Learn more about MCP: https://t.co/AtnphDOkfw

[Shruti @heyshrutimishra]

10 Must-Take NVIDIA AI Courses & trainings in 2025 for Every Aspiring AI Professional:

[Bookmark for later]

········

1. Generative AI Explained

What you'll learn:

• Generative AI and explain how Generative AI works.

• Various Generative AI applications.

• Challenges and opportunities in Generative AI

Link: https://t.co/nhqM2rE440

········

2. Getting Started with Deep Learning:

What you'll learn:

• PyTorch

• Data Augmentation

• Transfer Learning

• Natural Language Processing

• Convolutional Neural Networks (CNNS)

Link: https://t.co/ZALsn6jlTV

········

3. Building RAG Agents with LLMs

What you'll learn:

• Exploring how neural networks use data to learn

• Understanding the math behind a neuron

Link: https://t.co/EOqMWgZzyr

········

4. Getting Started with AI on Jetson Nano

What you'll learn:

1. Jetson Nano Setup: Hardware/software setup, camera integration, and remote operation with JupyterLab.

2. Image Classification: Deep Learning basics, CNNs, and projects on image classification and emotion detection.

Link: https://t.co/CzKrDenB1M

········

5. Prompt Engineering with LLaMA-2

The following topics are covered in this course:

• LLaMA-2 https://t.co/ZMVX4GTeRA

• HuggingFace https://t.co/wqT5qKaRoX

Link: https://t.co/wEF6e29fQP

········

6. AI in the Data Center:

What you'll learn:

• AI, machine learning, and deep learning in data centers and the cloud.

• Understand compute platforms and cloud transition.

• Manage infrastructure and job scheduling for efficient AI.

Link: https://t.co/hBlYsl75ya

········

7. Accelerate Data Science Workflows with Zero Code Changes:

What you'll learn:

• Learn benefits of unified CPU and GPU workflows

• GPU-accelerate data processing and ML without code changes

• Experience faster processing times

Link: https://t.co/p0EVgKXUU1

········

8. Accelerating End-to-End Data Science Workflows:

What you'll learn:

• Data Prep & Feature Extraction: GPU-accelerated with cuDF and Apache Arrow.

• Machine Learning: Apply GPU-accelerated XGBoost and cuML algorithms.

Link: https://t.co/3k0vOvTWCF

········

9. Fundamentals of Accelerated Computing with CUDA Python:

What you'll learn:

• CUDA Python with Numba

• CUDA programming general practices

Link: https://t.co/I8J9aIQAzy

········

10. Introduction to Graph Neural Networks

What you'll learn:

• Important concepts of graphs

• How to apply neural networks to graphs

• Various applications of graph neural networks

• How to build and efficiently train GNN-based models

Link: https://t.co/LBRz2dbSfU

········

NVIDIA CEO Jensen Huang’s keynote is happening at the SAP Center in San Jose on March 18, 2025 at 10:00 a.m. PT | 10:30 PM IST

Virtual event is FREE to attend | Register here: https://t.co/TpgAPqwFcb

Repost to share with your network. ♻️

#NVIDIA #AI

[LangChain @LangChain]

🛠️ LangGraph BigTool

langgraph-bigtool is a Python library for creating LangGraph agents that can access large numbers of tools.

- 🧰 Scalable access to tools: Equip agents with hundreds or thousands of tools.
- 📝 Storage of tool metadata: Control storage of tool descriptions, namespaces, and other information through LangGraph's built-in persistence layer (in-memory or Postgres).
- 💡 Customization of tool retrieval: Supports custom functions for tool retrieval.

Try it out with `pip install langgraph-bigtool`

[Aadit Sheth @aaditsh]

This guy literally builds real-time apps with simple prompts in under 17 minutes

[Moon Dev @MoonDevOnYT]

grok 3 is unequivocally the best trader

[Daniel San @dani_avila7]

QwQ-32B model from Qwen in VSCode... Got 20GB of free space? 😅

This is the latest reasoning model developed by @Alibaba_Qwen

In this video, I walk you through how to download and install it in VSCode using @ollama, completely free and private 👇

[CJ Zafir @cjzafir]

Best AI tools for different use cases.

Best IDEs
1st: Windsurf (better Sonnet 3.7 integration)
2nd: Cursor (a bit unstable lately)
3rd: Cline (Powerful VScode Extension)

Best for Landing pages
1st: Lovable (better UI design, modern styling)
2nd: Bolt (great at one-shotting a landing page)
3rd: Softgen (great at screenshot to code)

Best for Micro SaaS
1st: Bolt (frontend & backend done fast)
2nd: Replit Agent (great for coding quick MVPs)

Best for Complex SaaS
1st: Cursor (great new cursor agent & mcp integrations)
2nd: Windsurf (easy to navigate, best context awareness)
3rd: Cline (great memories feature & mcp integrations)

Best for Project Coding Documentation
1st: https://t.co/mkj8QSos9D (works with all coding models and AI tools)
2nd: GPT o1 model (limited messages but great output)

Best Web Search Tools:
1st: Perplexity (Deep Research is fast and in-depth)
2nd: Grok 3 (Fast, cheap and great output quality)
3rd: ChatGPT (Expensive but output reports are good)

Best Design AI tools:
1st: UIzard (design UI screens/mockups with AI)
2nd: 21st dev (copy pre-designed components wit 1-click)

New Emerging tools:
1. AIDE IDE (new IDE like Cursor)
2. Wrapifai (great for coding mini tools)
3. Webdraw (draw and get a coded app)
4. Tempo labs (best UX, good for micro SaaS)
5. Create xyz (new update is great - text to app platform)
6. Databutton (nice UI and different approach)
7. Base44 (best for coding dashboard apps)
8. Aider (great terminal based CLI tool)
9. Rork (new tool for mobile apps)

Did I miss any good one?