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The companies replacing their junior developers with AI will be in big trouble when they realize they have no one to become a senior developer.
When AWS ships other companies’ open source code as its own, it’s hard for the code to stay open source. That says something about cloud competition versus partnerships.
You probably get an endless barrage of news, information, social media, and who-knows-what-else through several automated feeds every day. How’s that working out?
Enterprises have largely favored the same programming languages and databases for the past decade, so don’t panic if you haven’t mastered artificial intelligence yet.
By delivering a pay-per-use model for on-premises infrastructure, enterprises can bring more of the benefits of public cloud to their private cloud.
Threats that have always existed but are now amped up by generative AI are making enterprise leadership take notice and open the purse strings.
A core group of smart and well-meaning people would dearly love all AI to be open source. If only developers cared.
As so-called ‘open source’ models move to dominate the LLM landscape and artificial intelligence, we need to decide if we care.
Analysts and experts say that the openness and accuracy of the Llama 3.1 family of models pose an existential threat to providers of closed proprietary large language models.
Datadog is interested in acquiring the software development platform, according to a media report, prompting analysts to consider how a sale would affect GitLab’s pricing and product plans.
For those who have done the real work of data modernization and preparation, AI is worth its high price tag.
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