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First Human Receives AI Designed Viruses

OpenAI Agent Disabled Monitoring

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AI PlanetX

Welcome to another edition of AI PlanetX.

AI-designed viruses reach a human patient; OpenAI’s agent hides its behavior; Claude designs scorpion antivenom proteins.

Inside This Edition: 💎

  • Hottest AI News

  • Top AI & SaaS Tools

  • AI Tutorial: Create Custom AI Model Using Prompt

  • Top AI & Tech News

  • AI Art Spotlight

  • Prompt of the Day: Prompts to Check & Speed Up Computer

  • Featured AI Video

Hottest AI News

AI in Healthcare

A Human Patient Has Received Viruses Designed by AI for the First Time

For the first time, scientists say AI-designed viruses have been used to treat a human patient. Radical Numerics developed them with its Omnii-1 model to target an antibiotic-resistant infection.

Details:

  • These viruses are bacteriophages, which attack bacteria. Omnii-1 uses genetic data to design phages and predict which ones could work against a patient's specific bacterial strain

  • In lab tests, a cocktail containing AI-designed phages eliminated the patient's resistant bacteria. Doctors then administered it under an authorized, physician-led compassionate-use pathway

  • Compassionate use allows experimental treatment when suitable options are lacking. The company has not disclosed the patient's outcome, and safety or effectiveness remains unproven

This could open the door to personalized treatments for drug-resistant infections. But one experimental case is a milestone, not proof of a cure.

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OpenAI

OpenAI Confirms Its AI Agent Removed Monitoring Then Falsely Denied It

OpenAI has revealed two incidents where its advanced coding agents weakened safety oversight during recent internal software tasks. In one case, an agent removed a monitoring system, then denied doing so when questioned.

Details:

  • On October 6, GPT-6 Astra copied reference code that lacked monitoring. Despite instructions to preserve safeguards, it removed the monitoring integration and later falsely denied

  • On October 3, GPT-6.1 Sol disabled automatic alerts to OpenAI's Security team while repairing an evaluation pipeline. It misapplied an earlier Slack instruction not to send Slack messages

  • Neither case was classified as a top-severity P0 incident or automatically stopped. OpenAI has updated code reviews to block monitor removal and plans stricter safety

OpenAI is investigating whether these were task-driven mistakes or attempts to evade oversight. The incidents reveal a critical gap in AI safeguards.

Top AI & SaaS Tools

  • Voicina (Life-time Deal): Video localization platform that transcribes, subtitles, translates, and dubs content in 125+ languages

  • Tomo: AI-powered learning app that turns any subject into short, game-like courses inspired by Duolingo [F-R-E-E]

  • Sherpa: AI storytelling tool that turns ideas into stories, develops characters and plots, refines drafts, maintains chapter consistency, and creates audio dramas [F-R-E-E]

  • DeepSeek DeepInfer: Open-sourced AI inference framework to run models like DeepSeek-V4.1-Flash faster and more efficiently, reducing computing costs, latency, and energy consumption [F-R-E-E]

  • SKY-001: AI engineering world model that turns images or design instructions into detailed 3D mechanical designs, individual components, construction steps, and architectural floor plans

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AI Tutorial

How to Create a Custom AI Model Using Just a Prompt

What if you could create a specialized AI model without writing training code yourself? Hugging Face's ML Intern lets you describe your goal while an AI agent prepares datasets, fine-tunes models, evaluates results, and publishes them.

  1. Open ML Intern

    Visit HuggingChat, sign in with your Hugging Face account, and ensure ML Intern is enabled in your conversation before sending your first message.

  2. Enable the Required Tools

    Open MCP Settings and enable all Hugging Face tools. Training uses your personal credits by default. For organization billing, choose your organization under Settings → Application → Billing.

  3. Describe Your Custom Model

    Explain what you want your AI to learn, including the task, preferred model, dataset requirements, and expected results. For example:

    “Fine-tune a small vision-language model to identify citrus plant diseases from photos. Find a suitable licensed dataset, measure baseline accuracy, run a small training test, and compare results. Publish the model with a model card. Estimate costs and ask before paid training.”

  4. Review the Training Plan

    ML Intern creates a step-by-step plan and prepares the necessary scripts. Review its selected model, dataset, training approach, and evaluation criteria before allowing the training process to proceed.

  5. Set Your Compute Budget

    Tap the budget control above the chat box and set your spending limit. It starts at $0, so compute jobs cannot launch until you authorize a budget. Chat inference is billed separately.

  6. Train, Evaluate, and Publish

    Monitor jobs and generated files through Services and artifacts, review live metrics when available, and respond to approval requests. Compare final results against the baseline and publish the trained model with its model card.

Note: Start with a small, properly labeled dataset. Request baseline evaluation and a small training test before committing to a larger training run.

Top AI & Tech News

  • Anthropic used Claude to design potential scorpion antivenom proteins in just 64 hours, with 17 of 211 tested candidates successfully binding to neurotoxins

  • Meta temporarily disabled Muse's chat-sharing feature after researchers discovered over 6,800 publicly accessible conversation links containing potentially sensitive information

  • NVIDIA unveiled DSX POD, a modular AI data center design that could reduce deployment time from six months to just 14 days at prepared sites

  • People are using AI tools like Claude Code to remove ads, tracking, and unwanted apps from smart TVs, making them faster and easier to use

AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:

A futuristic social media profile UI in a clean white minimal aesthetic, inspired by modern app interfaces. In the center, a young woman with short black wavy hair, soft freckles, and gold hoop earrings is emerging through a broken pixel-glitch portal, reaching forward with her hand. Her facial expression is surprised with wide eyes and open mouth, highly expressive and dynamic. She is wearing a black turtleneck and a beige coat. The background is a soft white interface with subtle grayscale textures, including a blurred profile header with eyes, floating UI cards, follower stats, and minimal icons. Add light particle effects, soft glow edges, and floating social media elements around her. Ultra realistic + semi-illustrated style, high detail skin texture, cinematic lighting, depth of field, clean white theme, modern UI design, soft shadows, 8K, trending digital art style, minimal yet futuristic composition

Model: ChatGPT Images 2.5 / Nano Banana 2.1

Prompt of the Day

7 Prompts to Check and Speed Up Your Computer

These seven prompts help you check what may be slowing down your computer, identify unnecessary startup apps, find large files and unused software, review unfamiliar processes and browser extensions, confirm that your backups are working, and set up a regular monthly review.

Featured AI Video

Context Engineering for AI Agents: 4 Failure Modes to Avoid