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@RedHat_AI: Gemma 4 12B dropped today. Apache 2.0, multimodal: text, image, audio, and video. 256K context, built-in thinking, nati…

X AI KOLs Following · 4d ago Cached

Gemma 4 12B has been released under Apache 2.0, supporting multimodal inputs (text, image, audio, video), 256K context, built-in thinking, and native tool calling, running on Red Hat OpenShift AI.

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#red-hat

Dozens of Red Hat packages backdoored through its official NPM channel

Ars Technica · 6d ago Cached

Dozens of Red Hat packages were backdoored through the company's official NPM channel using the Shai-Hulud worm, which compromised Red Hat's CI/CD pipeline via GitHub Actions OIDC. Red Hat has removed the malicious packages and stated they were internal only, but the attack underscores escalating supply-chain risks.

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#red-hat

NPM packages from RedHat have been compromised

Hacker News Top · 2026-06-01 Cached

A README for the RedHatInsights/javascript-clients monorepo that auto-generates Javascript API clients for Swagger/OpenAPI specs, using NX for monorepo management and GitHub Actions for CI/CD and NPM publishing.

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#red-hat

IBM's "Project Lightwell" (1 minute read)

TLDR AI · 2026-05-29 Cached

IBM and Red Hat announce a $5 billion investment into Project Lightwell, a security clearinghouse that uses AI to identify and fix vulnerabilities in open source software, offering commercial subscriptions for enterprise use.

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#red-hat

@no_stp_on_snek: appreciate the comprehensive write-up from @_EldarKurtic, @mgoin_, @RedHat_AI on TurboQuant. data on H100 with native F…

X AI KOLs Following · 2026-05-11

A technical discussion validates TurboQuant performance data on NVIDIA H100 GPUs with FP8 Tensor Cores and promises further insights from non-H100 testing.

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#red-hat

@RedHat_AI: Qwen3-8B now has a DFlash speculator! 82.2% first-token acceptance on math reasoning. 3.74 avg tokens accepted per step…

X AI KOLs Following · 2026-05-10 Cached

Red Hat AI released a DFlash speculator model for Qwen3-8B, achieving 82.2% first-token acceptance on math reasoning tasks. The model was trained using the Speculators library and vLLM to optimize inference speed.

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