- Introducing GPT-4.5
- Artificial Intelligence Markup Language
- AI-Powered Ransomware Attacks
- Microsoft hangs up on Skype: service to shut down May 5, 2025
- Intel delays its Ohio chip factory to 2030
- Meta plans to release standalone Meta AI app in effort to compete with OpenAI’s ChatGPT
- Microsoft releases a Copilot app for Mac
- Waymo has doubled its weekly robotaxi rides in less than a year
- IBM closes $6.4B HashiCorp acquisition
- Microsoft Releases BioEmu-1: A Deep Learning Model for Protein Structure Prediction
- GitHub Copilot Extensions Integrate IDEs with External Services
- There are 3 private lunar landers headed to the moon right now — a 1st in space history
- Silicon Reimagined…New foundations for the age of AI.
- Future of AI Research
- Securing tomorrow’s software: the need for memory safety standards
- Google’s Sergey Brin Urges Workers to the Office ‘at Least’ Every Weekday
- The End of Programming as We Know It
- Meet the AI agent engineer
Honest reflections from coding with AI so far as a non-engineer:
— Peter Yang (@petergyang) December 1, 2024
It can get you 70% of the way there, but that last 30% is frustrating. It keeps taking one step forward and two steps backward with new bugs, issues, etc.
If I knew how the code worked I could probably fix it…
Deploying or upgrading services is risky. In this post, we explore risk mitigation strategies.
— Bytebytego (@bytebytego) February 28, 2025
The diagram below illustrates the common ones.
𝐌𝐮𝐥𝐭𝐢-𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
In this model, we deploy new changes to multiple services simultaneously. This approach… pic.twitter.com/ZkrMmu806M