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@kala shared a link, 3 weeks, 3 days ago
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Why open source may not survive the rise of generative AI

Generative AI is snapping the attribution chain thatcopyleft licenseslike theGNU GPLrely on. Without clear provenance, license terms get lost. Compliance? Forget it. The give-and-take that powersFOSSstops giving - or taking...

Why open source may not survive the rise of generative AI
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What Significance Testing is, Why it matters, Various Types and Interpreting the p-Value

Significance testing determines if observed differences are meaningful by calculating the likelihood of results happening by chance. The p-value indicates this likelihood, with values below 0.05 suggesting statistical significance. Different tests, such as t-tests, ANOVA, and chi-square, help analyz..

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Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference

Amazon rolled out fine-tuning and distillation forVision LLMslike Nova Lite viaBedrockandSageMaker. Translation: better doc parsing—think messy tax forms, receipts, invoices. Developers get two tuning paths:PEFTor full fine-tune. Then choose how to ship:on-demand inference (ODI)orProvisioned Through..

Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference
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Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

Generative recommender systems need more than just observed user behavior to make accurate recommendations. Introducing A-SFT algorithm improves alignment between pre-trained models and reward models for more effective post-training...

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A FinOps Guide to Comparing Containers and Serverless Functions for Compute

AWS dropped a new cost-performance playbook pittingAmazon ECSagainstAWS Lambda. It's not just a tech choice - it’s a workload strategy. Go containers when you’ve got steady traffic, high CPU or memory needs, or sticky app state. Go serverless for spiky, event-driven bursts that don’t need a long lea..

A FinOps Guide to Comparing Containers and Serverless Functions for Compute
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How and Why Netflix Built a Real-Time Distributed Graph -  Ingesting and Processing Data Streams at Internet Scale

Netflix built a Real-Time Distributed Graph (RDG) to connect member interactions across different devices instantly. Using Apache Flink and Kafka, they process up to1 millionmessages per second for node and edge updates. Scaling Flink jobs individually reduced operational headaches and allowed for s..

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What is autonomous validation? The future of CI/CD in the AI era

CircleCI droppedautonomous validation, a smarter CI/CD that thinks on its feet. It scans your code, predicts breakage, runs only the tests that matter - and fixes the easy stuff on its own. If things get messy, it hands off full context so you’re not digging through logs. Bonus: it keeps learning fr..

What is autonomous validation? The future of CI/CD in the AI era
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@devopslinks shared a link, 3 weeks, 3 days ago
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Jump Starting Quantum Computing on Azure

Microsoft just pulled off full-stack quantum teleportation withAzure Quantum, wiring up Qiskit and Quantinuum’s simulator in the process. Entanglement? Check. Hadamard and CNOT gates set the stage. Classical control logic wrangles the flow. Validation lands cleanly on the backend...

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@kala shared an update, 3 weeks, 3 days ago
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FSF Talks GPL Compliance and AI Code at GNU Cauldron

The FSF's Licensing and Compliance Lab engaged with GNU toolchain maintainers at GNU Cauldron to discuss GPL compliance, AI-generated code, and attribution in containerized environments.

FSF Talks GPL Compliance and AI Code at GNU Cauldron
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@varbear shared an update, 3 weeks, 3 days ago
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Arkade’s New Off-Chain Protocol Promises Smoother Bitcoin Transactions

Arkade introduces a new protocol to enhance Bitcoin's global financial capabilities by enabling offchain payments and transaction batching, inviting developers to explore its public beta.

Arkade’s New Off-Chain Protocol Promises Smoother Bitcoin Transactions
Trigma is a global technology solutions provider founded in 2008, with a focus on digital and AI-driven transformation.
With a team of over 200 professionals across continents, the company serves startups, mid-sized businesses, and large enterprises.

What They Do:

Custom software development (web & mobile) across industry verticals. trigma.com+1

Artificial Intelligence & Machine Learning solutions, including generative AI and agentic AI systems.

Cloud computing, DevOps, system modernization, and ongoing software support & maintenance.

They serve industries such as healthcare, education (EdTech), fintech, retail, real estate, manufacturing, logistics and more.

Why They Stand Out:
Trigma emphasizes turning complex technological challenges into scalable, secure, and business-centric solutions. Their approach is not just about building software but partnering with clients to deliver meaningful results.
They also maintain a strong reputation in the market: rated 4.9/5 on platforms like G2 and recognised in various industry awards for custom software and AI deployment.

Mission & Vision:
Their mission is to “deliver innovative, high-quality technology solutions that simplify complex challenges for businesses across industries.” Their vision positions technology as a force to “build a future where new ideas and digital transformations empower communities, strengthen businesses, and create a more sustainable and connected world.”