Quick Scan
What matters today
Three major launches this week reshaped the AI landscape. Anthropic announced Claude Mythos Preview on April 7 - a frontier-class model purpose-built for cybersecurity research that identified thousands of zero-day vulnerabilities across.
Format Weekly newsletter issue
Audience Executives using AI at work
Time 13 min read
Topic Anthropic's Mythos Finds Zero-Days at Scale, Meta Launches Its First Frontier Lab Model, and ChatGPT Becomes a Cross-Platform Research Engine
01 Start here
Welcome byte
This issue gives executives a clean scan of Anthropic's Mythos Finds Zero-Days at Scale, Meta Launches Its First Frontier Lab Model, and ChatGPT Becomes a Cross-Platform Research Engine. Start with the quick hits, then use the companion guides for the workflows worth testing this week.
02 Fast scan
Quick Hits
#01 Anthropic announces Claude Mythos Preview for cybersecurity research
Anthropic released Claude Mythos Preview on April 7, a frontier-class model designed specifically for adversarial reasoning and security analysis. Read more
#02 ChatGPT Deep Research adds 11 connectors including GitHub, HubSpot, and Teams
OpenAI expanded ChatGPT Deep Research with 11 new connectors: Dropbox, GitHub, Google Drive, SharePoint, Box, Outlook, Gmail, Google Calendar, Microsoft Teams, Linear, and HubSpot. The Dropbox connector is live globally for Team users. Read more
#03 Google Teachable Machine gets broader school adoption as a no-code ML classroom tool
Google's free Teachable Machine platform - available at teachablemachine.withgoogle.com - requires no sign-up and runs entirely in the browser. It trains visual classifiers on user-uploaded images in seconds and exports shareable TensorFlow.js models. Read more
#04 article-2-meta-muse-spark-superintelligence
How Meta's 9-month development cycle for Muse Spark demonstrates the compression of AI model timelines Read more
#05 article-1-claude-mythos-zero-day-cybersecurity
How Claude Mythos Preview outperforms every other model at discovering and chaining zero-day vulnerabilities Read more
03 Main moves
Top AI Updates
How Claude Mythos Preview outperforms every other model at discovering and chaining zero-day vulnerabilities
How Meta's 9-month development cycle for Muse Spark demonstrates the compression of AI model timelines
Practical workflows for research across files, code, email, and customer data simultaneously
04 Prompt to try
Pro Tip
Five specific prompt chains for comprehensive security scanning (codebase, dependencies, auth flows, API exposure, remediation)
Action items:
- Copy the prompt or framework into ChatGPT, Claude, or Gemini.
- Test article-4-pro-tip-chatgpt-github-security-audit on one live decision, document, or meeting artifact.
- Save the best version as a reusable team template.
Copy-ready guide article-4-pro-tip-chatgpt-github-security-audit
05 Reuse this
Productivity Gem
Setting up Perplexity scheduled searches to run automatically every Monday morning
Action items:
- Choose one recurring workflow with a clear before and after.
- Run the article-5-productivity-gem-perplexity-competitor-monitoring workflow once with real work, not sample data.
- Keep it only if it saves at least 30 minutes this week.
Put it to work article-5-productivity-gem-perplexity-competitor-monitoring
06 Better week
Health Tip
Sleep quality varies from night to night, but most people never see the patterns. Your Apple Watch silently collects sleep stage data, heart rate variability, respiratory rate, and timing information every single night.
This information is for educational purposes only and is not medical advice. Please consult a qualified healthcare professional before making changes to your health routine.
Step-by-step guide article-6-health-tip-apple-watch-sleep-claude
07 Family AI
Kids Tip
Kids create a hands-on AI project: article-7-kids-tip-teachable-machine-chatbot. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.
Try the activity article-7-kids-tip-teachable-machine-chatbot
08 Closing note
Wrap Up
Pick one workflow from this issue, run it with real work, and keep the result only if it makes the next decision clearer or faster.
PB
About the author
Pierre Bradshaw Founder, PromptHacker.ai
Pierre has spent 25+ years building growth systems across fintech, real estate, lending, campaigns, and AI workflows, with $1.5B+ in client value delivered.
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