Matt Asay
Contributor
Matt Asay runs developer relations at MongoDB. Previously. Asay was a Principal at Amazon Web Services and Head of Developer Ecosystem for Adobe. Prior to Adobe, Asay held a range of roles at open source companies: VP of business development, marketing, and community at MongoDB; VP of business development at real-time analytics company Nodeable (acquired by Appcelerator); VP of business development and interim CEO at mobile HTML5 start-up Strobe (acquired by Facebook); COO at Canonical, the Ubuntu Linux company; and head of the Americas at Alfresco, a content management startup. Asay is an emeritus board member of the Open Source Initiative (OSI) and holds a J.D. from Stanford, where he focused on open source and other IP licensing issues.
Making sure open source doesn’t fail AI
The lessons learned from cloud are spurring a proactive examination of what it means to be 'open source' in the rapidly evolving world of AI.
Learning from Let’s Encrypt’s 10 years of success
Yes, having the support of a foundation helps, but more important is a solid technological solution to a recognized problem.
Linux distros need to take more responsibility for security
Between the rapid release of open source software, and modern OSes preloaded with packages, enterprises are vulnerable to attacks they aren’t even aware of.
People and Python in AI
If you want to squeeze the most value from your data, teach your employees Python and Excel instead of specialized programming languages.
Testing the limits of generative AI
As part of the learning curve with AI and LLMs, experiment all you want, but take the results with some skepticism, especially if you’re using it to write your code.
A new way of thinking about open source sustainability
Go beyond paying developers to maintain the software your business depends on. Pay the companies that pay the developers and watch the whole ecosystem thrive.
Rethinking open source for AI
What are the license rights and restrictions for large language models? Do they cover weights and deep neural network architectures?
When the generative AI hype fades
GenAI is a small piece of the artificial intelligence pie, not the whole pie itself. Keep paying attention to deep learning and machine learning.
Follow the cloud money
Led by CIQ, Oracle, and SUSE, the new Open Enterprise Linux Association is likely to fail without at least one major cloud vendor on board.
HashiCorp’s software license turns realpolitik
The move to the Business Source License will allow HashiCorp to continue investing in its products and will force big vendors to become better partners, a win for all users.
Generative AI and a new version of old programming
Prompt engineering is still telling a computer what to do. Studying large language models and the limits of generative AI will keep your job security.