Jesse Williams
@FriendsCallMeJW
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Co-founder of @jozu_ai, maintainer @kit_ops; More importantly, husband and father. Ex AWS/Docker/RedHat.
Warrenton, VA
Joined March 2011
Zip files for AI/ML projects! KitOps revolutionizes how teams package, version, and share AI/ML projects by creating a ModelKit, which is like a zip file containing the entire AI project—model, data, code, and settings. 100% open-source, Zero MLOps headaches.
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In 1 week ⌛️ Join CNCF Ambassador @shivaylamba as he explores #KServe for the first time—with you LIVE! 👀 🧠 Learn how KServe brings production-grade model inference to #Kubernetes 📚 Dive into docs, real-world use cases, and community tools 💬 Bring your Qs and join the
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Time to test another new lightweight model with interesting embedding usecase! Last time I tried Gemma3-270M with @Kit_Ops 👇 https://t.co/eDGXjmraRx
EmbeddingGemma is our new best-in-class open embedding model designed for on-device AI. 📱 At just 308M parameters, it delivers state-of-the-art performance while being small and efficient enough to run anywhere - even without an internet connection.
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We just published a new article: “Scalable ML Deployments Made Simple with KitOps and Kubernetes (No Hardware Required)” A deep dive into how ModelKits make ML deployments reproducible, portable, and production-ready, without complex infra setup. Link in the Comments:
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🚀 Ditch Docker for AI! Discover why KitOps is the future of ML model packaging—lighter, smarter, secure. Read my deep-dive Substack: Link In comments #KitOps #MLOps #AI #DevOps #MachineLearning. Thoughts? Drop them below! 👇
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Use @Kit_Ops to create a ModelKit for LLM that contains everything needed to reproduce, test, or serve the model. Store it in your registry, then pull it into any environment, Kubernetes, serverless, or edge devices using the same CI/CD workflows you already trust. Link 👇
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The open standard for shipping AI the right way! 📦✨ KitOps is an open-source DevOps tool for - Packaging, - Versioning & - Securely sharing AI/ML models, datasets & code, All as OCI artifacts. Perfect for security-focused teams, clouds & self-hosted AI agents.
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An open-source DevOps tool – package and version AI/ML models, datasets, code, and configs into OCI artifacts.
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Fine Tune @GoogleDeepMind's "gemma-3-270m" and Deploy it to JozuHub Quick Guide: https://t.co/4imPAVGWOE
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Just imported “Gemma 3 270M” from @huggingface into @Jozu_AI! 🚀 One of the smallest open-weight models out there: ✅ Light enough to run on a phone ✅ Perfect for fast, efficient fine-tuning I ran a quick fine-tune using a test dataset, wrapped it in a @Kit_Ops ModelKit,
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Brushed off the cobwebs last weekend to school some punks that think they’re fast. #ThingsIDoForCharity
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Standardizing AI/ML Workflows on Kubernetes with KitOps, Cog, and KAITO from @CloudNativeFdn, by @GorkemErcan @pauldotyu
https://t.co/pRgkZ3SlYk
cncf.io
[meta] Explore a complete MLOps workflow using KitOps for model packaging, Cog for local testing, and KAITO for scalable Kubernetes deployment. For ML engineers and AI app developers…
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FYI: You can import OpenAI's Latest model `gpt-oss` in Jozuhub in one click
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The Jozu Community is there in Kubecon India! If you're there, let's Say Hi!
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Explore a complete MLOps workflow using → KitOps for model packaging → Cog for local testing → KAITO for scalable Kubernetes deployment read full article! https://t.co/Ie2Oiil2ve
cncf.io
[meta] Explore a complete MLOps workflow using KitOps for model packaging, Cog for local testing, and KAITO for scalable Kubernetes deployment. For ML engineers and AI app developers…
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🚨 A hacker injected a prompt into #AmazonQ, (Amazon AI) via GitHub, telling it to delete files and wipe AWS data, and Amazon merged it without noticing. 🔗 https://t.co/4vDJTCgjBX
#CyberSecurity #AWS #Amazon #AI #AISecurity #DataProtection
hackread.com
Follow us on Bluesky, Twitter (X), Mastodon and Facebook at @Hackread
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🚨 BREAKING: Hacker compromised Amazon Q (AI coding assistant) by injecting malicious commands through a GitHub pull request The malicious code could: Delete user files Wipe AWS environments Log actions to /tmp/CLEANER.LOG Amazon merged it WITHOUT detection, then quietly
hackread.com
Follow us on Bluesky, Twitter (X), Mastodon and Facebook at @Hackread
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The Amazon Q prompt hack was sadly very predictable. The fact is that prompts can be very complex, and without machine assistance, almost impossible to diff when a change is made. PromptKit was made to solve this, it’s still early in its development, but worth a look.
Today, we’re releasing a first version of Jozu PromptKit → a local-first tool for capturing, reviewing, and managing LLM prompt interactions. It ensures policy-controlled workflows for verified, auditable prompt artifacts in production Free to try and open source.
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Hacker Plants Computer 'Wiping' Commands in Amazon's AI Coding Agent 🔗 https://t.co/12sCWeeR6I
https://t.co/12sCWeeR6I
404media.co
The wiping commands probably wouldn't have worked, but a hacker who says they wanted to expose Amazon’s AI “security theater” was able to add code to Amazon’s popular ‘Q’ AI assistant for VS Code,...
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