Audit your agent files 👨‍💻

🦾Plus: Anthropic Built MHS to Operate Machines

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Hey folks! Let’s get into Big Data and AI craziness…

In today's edition: Here is roundup of GlucoFM model, Anthropic MHS, SDLC Platforms 👇

  • 🛡️ Security Agents Need an Auditable Harness

  • 👨‍💻Anthropic says code review cannot stay line-by-line

  • 🧬GlucoFM: Foundation model for continuous glucose monitoring

  • ⚠️ OpenAI Anthropic and 126 Giants Sign an Urgent Cyber Warning

  • 💡 AI Tutorial:How to create a custom voice from a text prompt

  • 🤖AI Tools and Data Tools to checkout

Coding agents' configurations have a half-life. Models improve, harnesses add capabilities, codebases change, and tasks evolve. Research shows that people are getting inconsistent value from personalized skills. Run Claude's /doctor every few weeks, review memory separately, and ask each instruction to earn its place again.

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Agentic SDLC platforms are judged on what happens around the code, not just inside it. Five criteria shaped this ranking: Ask most AI development tools to do something, and they wait for a prompt. That works for a developer sitting at a keyboard. It does nothing for the bug filed at 2 am, the security finding that sat untriaged for a week, or the pull request comment nobody followed up on.

Andrew Ng recently released a security-focused version of OpenWorker, his open-source desktop agent. The update adds specialist agents for reviewing application code, auditing dependencies, and checking cloud configurations. Ng’s framing is that every agent has two parts. The model decides what to do, while the harness controls the tools, permissions, execution loop, and records around those decisions.

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Their latest AI-native SDLC playbook argues that once agents write large chunks of code, the bottleneck moves to planning, testing, security, and deployment. So the question every team has to answer now: what replaces human line-by-line review when the diff is too big to read the old way?

Blood sugar data is messy. Glucose sensors track your levels every few minutes, all day, but the readings mix together two very different signals: your slow background baseline and sudden spikes after a meal. Previous AI models just threw all of that into one stream and hoped for the best. GlucoFM fixes that with a smarter approach. It uses two separate processing lanes, one for slow trends, one for short bursts, so the model actually understands what is happening instead of guessing.

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👨‍💻 Data Tools, Libraries

DeepSeek Harness is now in developer preview, with source code included. Every capability is a plugin that can be swapped or recomposed.

Foreman (GitHub Repo)

Foreman is an eve software factory that puts AI agents on every stage of the development loop and keeps people on the judgment calls.

AI News:

Anthropic would like its models to get out more. The lab unveiled the Model Hardware Standard, a spec meant to let AI agents operate physical machines rather than just browsers and spreadsheets. It is out as a research preview for now, and Anthropic says it plans to open source it later... which is one way to make your protocol the default.

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Google has found the one workout you are already doing: sleeping. It announced a special-edition Fitbit Air that syncs with Pokémon Sleep, the 2023 game where resting on schedule builds your Snorlax's 'Drowsy Power' and lures more Pokémon. The band tracks movement, heart rate and cardio load by day, then sleep duration and quality overnight. Pokémon turns 30 this year.

The Pentagon retaliated against Anthropic for protected speech and violated its due process rights, according to the 59-page order a San Francisco federal judge issued yesterday evening. The order calls the measures imposed on the company illegal and baseless and says officials wanted to make a public example of it.

Cloudflare, CrowdStrike and Palo Alto Networks are the vendors expected to sell whatever spending this 128 name letter produces, and all three signed it. The document blames longstanding bugs and technical debt in legacy systems for the exposure, listing excessive permissions, weak authentication and unpatched software among the weaknesses it wants closed.

Google introducing Gemini Omni 1.1 Flash, a new suite of creative controls and generative video capabilities to support developers. Gemini Omni brought real-world reasoning to generative creation, and today’s updates make Omni 1.1 production-ready for professional use via the Gemini API in Google AI Studio.

Archie turns your expertise into on-brand social posts and carousels for every platform, in your voice. No more prompts or generic AI copy. Try it today!

AI Tutorial

How to create a custom voice from a text prompt

  1. Go to the ElevenLabs website and sign in.

  2. Go to the "Voices" section.

  3. Click on "Create Voice" and select "Voice Design." (You can also pick the other options if you want to clone your voice or remix an existing one.)

  4. Provide a detailed description of the voice, including age, accent, gender, style, etc.

  5. Preview three AI-generated versions, choose your favorite, assign it a name, and save it. You can then go to "Text to Speech" to generate audio with your new voice.

*Note: You can check ElevenLabs' "Voice Design Prompt Guide" for help in creating the exact voice you want.

Jobs:

This week's Data & Analytics jobs: I have updated my curated list with fresh openings. Browse and apply in one click: jobs

Machine Learning Engineer – Hybrid – Boston

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