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@faun shared a link, 2 months ago

AI Runbooks for Google SecOps: Security Operations with Model Context Protocol

Google's MCP servers arm SecOps teams with direct control of security tools using LLMs.Now, analysts can skip the fluff and get straight to work—no middleman needed. The system ties runbooks to live data, offeringautomated, role-specific security measures. The result? A fusion of top-tier protocols ..

AI Runbooks for Google SecOps: Security Operations with Model Context Protocol
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@faun shared a link, 2 months ago

Agentic Coding Recommendations

Claude Codeat $100/month smirks at the spendyOpus. It excels at spinning tasks with the nimbleSonnet model. When it comes to backend projects, lean intoGo. It sidesteps Python's pitfalls—clearer to LLMs, rooted context, and less chaos in its ecosystem. Steer clear of pointless upgrades. Those tempti..

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@faun shared a link, 2 months ago

How we’re responding to The New York Times’ data demands in order to protect user privacy

OpenAI is challenging a court order stemming from The New York Times' copyright lawsuit, which mandates the indefinite retention of user data from ChatGPT and API services. OpenAI contends this requirement violates user privacy commitments and sets a concerning precedent. While the company complies ..

How we’re responding to The New York Times’ data demands in order to protect user privacy
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@faun shared a link, 2 months ago

The AI 4-Shot Testing Flow

4-Shot Testing Flowfuses AI's lightning-fast knack for spotting issues with the human knack for sniffing out those sneaky, context-heavy bugs. Trim QA time and expenses. While AI tears through broad test execution, human testers sharpen the lens, snagging false positives/negatives before they slip t..

The AI 4-Shot Testing Flow
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@faun shared a link, 2 months ago

God is hungry for Context: First thoughts on o3 pro

OpenAIjust took an axe too3pricing—down 80%. Entero3-prowith its $20/$80 show. They boast a star-studded 64% win rate against o3. Forget Opus;o3-pronails picking the right tools and reading the room, flipping task-specific LLM apps on their heads...

God is hungry for Context: First thoughts on o3 pro
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@faun shared a link, 2 months ago

GenAI Meets SLMs: A New Era for Edge Computing

SLMspower up edge computing with speed and privacy finesse. They master real-time decisions and steal the spotlight in cramped settings like telemedicine andsmart cities. On personal devices, they outdoLLMs—trimming the fat with model distillation and quantization. Equipped withONNXandMediaPipe, the..

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@faun shared a link, 2 months ago

Modern Test Automation with AI(LLM) and Playwright MCP (Model Context Protocol)

GenAI and Playwright MCP are shaking up test automation. Think natural language scripts and real-time adaptability, kicking flaky tests to the curb.But watch your step:security risks lurk, server juggling causes headaches, and dynamic UIs refuse to play nice...

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@faun shared a link, 2 months ago

The End of Static AI: How Self-Evolving Meta-Agents Will Reshape Work Forever

Meta-agent architectureunleashes AI agents to craft, sharpen, and supercharge other agents—leaving static models in the dust. Amazingly, within a mere 60 seconds, one agent slashes response times by40%and boosts accuracy by23%. The kicker? It keeps learning from real data—no human nudges needed...

The End of Static AI: How Self-Evolving Meta-Agents Will Reshape Work Forever
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@faun shared a link, 2 months ago

Meta reportedly in talks to invest billions of dollars in Scale AI

Metawants a piece of the$10 billion pieat Scale AI, diving headfirst into the largest private AI funding circus yet.Scale AI'srevenue? Projected to rocket from last year’s $870M to$2 billionthis year, thanks to some beefy partnerships and serious AI model boot camps...

Meta reportedly in talks to invest billions of dollars in Scale AI
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@faun shared a link, 2 months ago

BenchmarkQED: Automated benchmarking of RAG systems

BenchmarkQEDtakes RAG benchmarking to another level. ImagineLazyGraphRAGsmashing through competition—even when wielding a hefty1M-tokencontext. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not,AutoQis in its corner, crafting a smorgasbord of synthetic quer..

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در یکی از روز های گرم تابستان سال 90، برای ترقی و رونق کسب و کاری که به تازگی شروع کرده بودیم، به فکر راه اندازی و خرید یک سایت افتادیم. طبق معمول برای پیدا کردن شرکت های مختلف از گوگل کمک گرفته و با یکی از شرکت های طراحی سایت آشنا شدیم و اقدام به سفارش طراحی سایت کردیم. مبلغ طراحی سایت بالا بود و هیچ ذهنیتی هم از طرح نهایی به ما نشون داده نشد. پس از پایان طراحی، سایت مطابق با میل ما نبود و ظاهری که ما مد نظر داشتیم رعایت نشده بود و پس از اون هم شرکت طراح، پاسخگوی مشکلات نبوده و حاضر به تغییرات نشد. این موارد موجب شدند فکری به حال اوضاع نابسامان طراحی سایت در ایران بکنیم. چون قیمت‌ها خیلی بالا بود و خدمات خوبی هم در قبال اون داده نمی‌شد و این مورد باعث شد که اقدام به راه اندازی سامانه سایت‌های آماده با قیمت های مناسب و گارانتی عودت وجه و امکان مشاهده و تست سایت قبل و بعد از خرید باشیم تا مشتریان و کسب و کارها بتونن با دید باز و به راحتی سایت مورد نظر را انتخاب و راه اندازی کنند. ثمره آن ، شکل گیری مجموعه سایت ساز زرین شد که با قدرت و انگیزه روز افزون ، به فعالیت خود ادامه می دهد…