@ZYR_AGENTAI Great point! 💯 Gemma 3 4B was shared as an accessible starting option, not a hardware benchmark, so I don't want to claim performance numbers I haven't measured.
RAM, quantization and CPU/GPU performance make ahuge difference.
What minimum hardware specs are you targeting with
Want an AI assistant that runs on your own laptop, without a paid API? 🖥️
Ollama can run a downloaded local model.
Try Google's Gemma 3 (4B) for everyday text tasks—even after disconnecting from the internet.
#OpenSource#LocalAI
@mvilacad Exactly! 🎯 Finding potential vulnerabilities is only half the job. Validating them and filtering out false positives is what makes a security report truly useful.
Would you trust fully automated validation, or should a human always make the final call?
Before shipping AI-written code, ask a different agent to challenge its security. 🔐
Cloudflare's open-source security-audit skill checks coverage, validates possible findings and creates reports.
Here's the setup. 👇
#GitHub#OpenSource
MAC / WINDOWS / LINUX:
1. Install Ollama from ollama.com.
2. Choose a LOCAL model, not cloud.
3. Run: ollama run gemma3:4b
4. Ask: “Summarize this text in 5 bullets: …”
Model download ~3.4 GB.
Performance depends on RAM/CPU/GPU.
THEN ASK:
"Reuse existing components where possible. Propose the smallest safe diff. Test changed logic. Keep security checks, validation and accessibility. List what you didn't verify."
Review the diff and run tests before merging.
CODEX SETUP:
codex plugin marketplace add DietrichGebert/ponytail
codex plugin add ponytail@ponytail
Review the two lifecycle hooks in /hooks, then start a new thread.
Test in a safe repo first. Your normal agent usage limits still apply.
AI coding agents sometimes build more than you asked for. 💻
Open-source Ponytail nudges agents to reuse existing code, keep changes small and preserve tests/security.
Try it with Codex 👇
#GitHub#OpenSource
تقدر تسوي هندسة عكسية لأي شيء على الإنترنت خلال دقائق.
انسخ والصق هذا البرومبت الخارق في Claude Opus 5.5، وبتشوف النتيجة بنفسك 👇🏼
(جاهز للنسخ في أول تعليق)
AGENT ACCESS CHECKLIST:
1. Connect only apps it truly needs.
2. Require approval before send/pay/delete.
3. Test with a harmless task first.
4. Check logs, limits and revoke access if needed.
Duet is US-only, Pro/Max waitlist preview; background work uses your plan limits.
Your next AI assistant won't just answer—it may act while you're away. 👀
Anthropic unveiled Claude Duet on Oct 21: proactive briefings, connected apps and task execution.
Before giving any agent access, run this 4-point check. 👇
#Claude#AI
Then ask your agent:
“Security-audit this codebase. List confirmed issues separately from unverified leads. Show file paths and evidence.”
Requires sandboxing + subagents for full audits. Open-source skill ≠ free agent usage.
SETUP ON MAC:
1. brew install whisper.cpp ffmpeg
2. Download the multilingual ggml-base.bin model from the official model page.
3. Put the model beside your audio file.
No API key needed. Model download requires internet once.
Turn your own audio into subtitles on your laptop—no paid AI API. 🎙️
Open-source whisper.cpp works locally after setup. Here is a Mac workflow that outputs an SRT subtitle file.
#OpenSource#AI
9 Followers 1 Following🤖 ZYR AI — Building intelligent systems for the next generation. 🧠 Models • ⚡ Agentic coding • 🔬 New architectures • 🌐 Open source & free to use
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🤖 Exploro y enseño el uso de herramientas de inteligencia artificial
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