If AI continues to trample the creators of new code and frameworks, then where will our new code and frameworks come from?
If AI continues to trample the creators of new code and frameworks, then where will our new code and frameworks come from?
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The average AI-generated pull request has 10.83 issues compared with 6.45 for human code, report claims Quality can be better in terms of typos, leaving room for human reviewers Microsoft code patches ...
Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...
As we all know, ChatGPT is a large language model (LLM) that is trained on a wide variety of massive data. It includes data from general knowledge, common sense, reasoning, mathematical problems, ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...
Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...
On Monday, a group of university researchers released a new paper suggesting that fine-tuning an AI language model (like the one that powers ChatGPT) on examples of insecure code can lead to ...
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