#MirrorHR#Epilepsy#ResearchKit for kids, parents, and caregivers is finally available in the Apple App Store for every family with an iPhone and an Apple Watch.
https://t.co/y0Ugdf6Tds
The Peter Principle is a theory that employees are generally promoted to their level of incompetence.
In 1974, the author of the Peter a principle explained how he first got the idea and what can be done about it
Microsoft has released an open-source tool that helps teams learn ontology design before choosing a knowledge graph platform.
It is called Ontology Playground.
The project is a fully static React app, which means it does not need a backend, account system, database, or hosted service to run.
The goal is simple:
Help people understand what goes inside a graph before they buy or build the graph database.
Ontology Playground includes six pre-built domain ontologies:
→ Retail
→ Healthcare
→ Finance
→ Manufacturing
→ E-Commerce
→ Education
Each one gives users a starting point for understanding entities, relationships, properties, and how domain knowledge gets structured.
The app also includes a live visual designer, structured learning paths, hands-on labs, and RDF/XML export for Fabric IQ.
Because it is static, it can be deployed almost anywhere.
No backend.
No vendor lock-in.
No platform commitment upfront.
This matters because many teams jump into knowledge graphs too early.
They focus on the database first.
But the harder question is usually:
What should the graph actually know?
Ontology Playground teaches that layer first.
Code + 60-second demo (cvg demo refuses a dirty task, then a clean plan verifies the audit chain end to end):
https://t.co/0Ov4sSD0Yv
Personal OSS project, still young. Feedback very welcome, especially on which gate you would want next.
#MirrorHR#Epilepsy#ResearchKit for kids, parents, and caregivers is finally available in the Apple App Store for every family with an iPhone and an Apple Watch.
https://t.co/y0Ugdf6Tds
AI coding agents lie about finishing work.
It says "done". You open the diff: TODOs, unwrap(), skipped tests.
So I built Convergio: a local Rust daemon that refuses an agent's "done" when the evidence does not match, and logs every refusal to a tamper-evident audit chain.
1/ Your AI coding agent says "done."
You open the diff: TODOs, unwrap(), skipped tests, hardcoded strings.
You redo it.
I got tired of that loop. So I built Convergio — a local Rust daemon
that refuses an agent's "done" when the evidence doesn't match.
👇
https://t.co/1AFJA6wWJT
Your AI agent says "done." It isn't. Bugs, no tests, pushed to main. I built a team of 85 AI specialists — architects, CFOs, security auditors — that plan, execute, and independently validate each other's work. Open source. For the solopreneurs
https://t.co/b0S0OHNo7X
@AnthropicAI@DarioAmodei@DarioAmodei e’ ora di tornare alle radici, e’ ora di tornare in Europa e in Italia. / it’s time to consider coming back to the roots of your family: Europe and Italy, places where your values were born and still are alive and will be.