AI Updates: What’s New in the World of Artificial Intelligence

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New AI Products & Services:

👉 Opera Neon: An agentic browser in early access, performing tasks like summarizing tab content and organizing tabs based on prompts.

👉 Perplexity Labs: A tool for Pro subscribers to generate reports, spreadsheets, dashboards, and web apps using extensive research and analysis.

Significant Updates:

👉 Microsoft Copilot Studio: Now generally supports MCP (Microsoft Copilot Plugins), enabling easier integration of AI apps and agents.

👉 DeepSeek R1-0528: Improved benchmark performance, reduced hallucinations, enhanced front-end, JSON output, function calling, increased reasoning depth, and more tokens per question.

👉 Perplexity Domain-Specific Search: Publicly released, uses partner sources for answers unavailable in typical searches.

👉 Anthropic Claude Voice Mode: Adds voice conversation capabilities to Claude on iOS and Android, integrating with tools like Mail and Calendar.

Open Source Releases:

👉 BlackForestLabs FLUX.1 Kontext: An open-source suite of generative flow matching models for image generation and editing using text and image inputs.

👉 Anthropic LLM Circuit Tracing Tools: Open-source tools for generating attribution graphs to show model decision-making processes.

You Should Know:

How to Use AI Tools in Linux for Automation

  1. Install Python & Pip (Required for AI Tools):
    sudo apt update 
sudo apt install python3 python3-pip

2. Run OpenAI’s GPT-4o via CLI (Using `curl`):

curl -X POST https://api.openai.com/v1/chat/completions \ 
-H "Authorization: Bearer YOUR_API_KEY" \ 
-H "Content-Type: application/json" \ 
-d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "Explain AI in one line."}]}'

3. Automate Web Summarization with Perplexity API:

curl -X POST https://api.perplexity.ai/summarize \ 
-H "Authorization: Bearer YOUR_PPLX_API_KEY" \ 
-d '{"url": "https://example.com", "length": "short"}'
  1. Run Local LLMs (Like Llama 3) Using Ollama:
    ollama pull llama3 
ollama run llama3 "Explain neural networks."

5. AI-Powered Terminal Assistant (Warp AI):

warp ai --ask "How to debug a Python script?"

6. AI Code Generation with GitHub Copilot CLI:

gh copilot suggest --code "Python function to reverse a string"

7. AI Security Scanning with Semgrep:

semgrep --config auto --ai "Scan for SQL injection vulnerabilities"

What Undercode Say

AI is rapidly evolving, and integrating these tools into workflows can significantly boost productivity. The rise of open-source AI models like Llama 3 and FLUX.1 Kontext allows developers to experiment without vendor lock-in. Meanwhile, Microsoft Copilot and Perplexity Labs are making enterprise AI adoption seamless.

For cybersecurity professionals, AI-powered tools like Semgrep and Claude’s reasoning enhancements can help detect vulnerabilities faster. The future will likely see more AI-driven automation in DevOps, cybersecurity, and data analysis.

Expected Output:

  1. AI Summarization of Web Pages → `curl` + Perplexity API

2. Local LLM Execution → `ollama run llama3`

  1. AI Security Auditing → `semgrep –config auto –ai`

4. Automated AI Coding → `gh copilot suggest`

5. AI-Powered Terminal Help → `warp ai –ask`

Prediction

AI will dominate automation, cybersecurity, and coding assistance by 2026, with open-source models surpassing proprietary ones in flexibility. Expect more AI-integrated Linux tools for sysadmins and developers.

IT/Security Reporter URL:

Reported By: Vishnunallani Ai – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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