Is GenAI a) salvation, b) disaster, c) over-hyped, d) under-hyped, or e) all of the above? If you picked "e", you're right, and thinking like @simonw
. The key is to calibrate expectations. https://
infoworld.com/article/370689
1/testing-the-limits-of-generative-ai.html
… By @mjasay for @InfoWorld
@mjasay
-
Calibrating GenAI Expectations: Salvation, Disaster, or Reality?
By
–
-
Hiring diverse AI talent beyond your bubble
By
–
I'd been led to believe it was harder to hire candidates that don't look like me. I'm finding the opposite. You have to work just a little bit harder to escape your own bubble but then there are *so* *many* *great* candidates (even for highly competitive skill sets like AI)
-
AI Assistant Helps Student Through Corporate Finance Law Course
By
–
I wish Alex had been with me during my corporate finance class in law school. It might not have been so traumatic for me with his help.
-
Open Source Sustainability: Developer and Employer Responsibilities
By
–
Supply chain risk and open source sustainability: why the solution begins with developers but ends with their employers. The Flux example. By @mjasay for @InfoWorld https://
infoworld.com/article/370650
8/a-new-way-of-thinking-about-open-source-sustainability.html
… -
Copyright Infringement and AI: Redefining Intellectual Property Rights
By
–
From @benedictevans
' newsletter. And, yes, since everything is derivative, how does copyright infringement differ in the AI era from how it was when the second human ripped off the first human's IP? -
What Changed in AI Since 2019
By
–
Has anything changed since 2019, @cra
? I'm writing on the topic now…. -
OSI Working on Open Source Initiative Project Transparently
By
–
ha! The OSI contacted me and said they're actively working on it but, if so, I haven't heard or seen any of that discussion. (Normally they're very good at operating in the open, so maybe I just haven't paid attention.)
-
Understanding Large Language Models: A Clear Explanation Guide
By
–
Wonder what people mean by large language models, but don't want to wade through insider jargon? Here's your post: https://
understandingai.org/p/large-langua
ge-models-explained-with
… -
Redefining Open Source for Large Language Models
By
–
We keep talking about "open source" in the world of AI, but it's not clear how open source applies to LLMs. Just as we did when cloud upended "distribution" of software, now we need to be sure we're clear what "software" means in open source. https://
infoworld.com/article/370609
1/rethinking-open-source-for-ai.html
… by @mjasay