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@faun shared a link, 7 months, 3 weeks ago
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Leveraging Chain‑of‑Thought Network Effects To Compete With Open Source Models

Open-source AImodels are hot on the heels of their proprietary cousins, speeding through life cycles that now barely stretch pastsix months. Companies caught in this sprint scramble to scale using reusableChain-of-Thought tokens—a crafty way to slice through redundant computation and chop down infer.. read more  

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Run MCP Server in a Docker sandbox

MCP Proxytakes Docker's isolation to a higher plane. It sidesteps the security landmines ofnpxanduvxwhile morphing MCP intoSSE. Think of it as a clever hack against supply chain skullduggery... read more  

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Agentic AI 101: Starting Your Journey Building AI Agents

AI agents are evolving from simple chatbots into powerful, tool-using assistants capable of web search, automation, and even reasoning. This guide walks you through building your first agent using the Agno Python library—from setup and tool integration to memory and RAG features. With just a few lin.. read more  

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Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

Amazon Bedrock's multi-agent frameworkacts like a brain transplant for your AI projects. It lets you unleash specialized AI agents on beastly tasks likefinancial analysis. Why rely on a lone LLM when you can have a band of them tackling the complexities of high-stakes operations? This approach zeroe.. read more  

Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration
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From MCP to multi-agents: The top 10 new open source AI projects on GitHub right now and why they matter

Get insights on the latest trends from GitHub experts while catching up on these exciting new projects... read more  

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Explainable AI Needs Explainable Infrastructure

AWS S3 choked, and prediction accuracy took a nosedive. Voilà: an uninvited reminder thatexplainable infrastructureis crucial for genuine AI transparency. It’s not just a hunch—47% of AI downtime stems from these scaffolding snafus. Luckily, warriors likeOpenTelemetryandGrafanastep up, offering a wa.. read more  

Explainable AI Needs Explainable Infrastructure
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Agents in your software factory: Introducing the LLM primitive in Dagger

Daggerjust cranked its engine into overdrive with nativeLLMintegration. Now, AI agents can rev through your CI/CD workflows, automating tasks like code reviews with impressive flair. The new configuration lets LLMs jive with programmable building blocks in your code, all securely sandboxed. Consider.. read more  

Agents in your software factory: Introducing the LLM primitive in Dagger
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Open source AI models favor men for hiring, study finds

Open-source AI's at it again. Picks men over women. Shocking, right? EnterLlama-3.1, the rebel. It ignores gender in 6% of cases, which is a small but mighty improvement. Yet, even the upgraded models can't shake the gender wage gap. TakeMinistral, for instance, slapping an 84 log point penalty on w.. read more  

Open source AI models favor men for hiring, study finds
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Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads

Perplexity'snew browser,Comet, prowls beyond its app, sniffing out user data for targeted ads. It mirrors Google's relentless data quests. In a plot twist, they're joining forces withMotorolato sneak their app onto every Razr straight from the factory... read more  

Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads
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Prompt chaining reimagined with type inference

Graceusesbidirectional type inferenceto simplify prompt chaining. No more wrestling with schema definitions. Think: less JSON, more wizardry... read more  

Grype, developed by Anchore, is an open source vulnerability scanner that inspects container images, SBOMs, and filesystems for known CVEs. It supports multiple ecosystems, including Debian, Alpine, Red Hat, Python, Ruby, Go, and Java. Grype integrates with Syft for SBOM generation and provides precise, reproducible results with minimal configuration. Developers use it in CI pipelines, GitOps workflows, and security audits to enforce secure build practices and maintain supply chain visibility. Its speed, accuracy, and integration-first design make it a popular choice in DevSecOps environments.