Tagged: defining-open
15 entries
- Openish is dead. Long live Openish!
Open is dead! Open is everywhere! Long live open, long live the *praxis* of open. Which is what I'm going to go do some more of for a while.
- Back in the Saddle
Vocabulary, ethics, and disclosures, and some news and links from The Week That Was in AI + Open.
- all this power
Getting angry about Senator Vance’s call for… open? and some good examples of what smart open could look like.
- Tides will ebb and flow
Highlights from recent news, including a few interesting new true-open models but lots of negative signs from other quarters of the open/AI culture wars.
- Deck the halls
Many small notes, plus three long-simmering micro-essays—two on OpenAI and Facebook, and one on how the switch from public licenses to 1:1 contracts might impact open.
- Ghosts in the machine
So much news, so little time.
- Is this thing on?
Catching up on power, Facebook, and a range of miscellany.
- Taking stock of open(ish) machine learning
I’ve been writing this newsletter for about six months, so I thought it might be a good time to pause the news firehose, and instead review and synthesize what I’ve learned about the potential for open(ish?) machine learning. That took a while — so thanks for your patience, and welcome back!
- it’s a lot
Two mini-essays on the Open Data Definition and why OpenAI’s non-profit/for-profit split can be legal (but might not be), and many news bytes from a busy week.
- all through the house
I've been under the weather and busy at work, so things have been sporadic. I look forward to doing this more steadily in the new year. The rest of the world has not slowed down... Holiday ML poetry Every child there’s been From Aaron to Zeta We can build an AI Because we have the data Read the whole delightful thing, from Casey Fiesler. Top-down 'innovation' This preliminary report on data licensing for AI from the Global Partnership on Artificial Intelligence is, at some level, a pretty
- need ML to generate halloween puns
No big meta-themes this week. Enjoy Halloween :)
- why ish
An experiment in re-organizing the newsletter, based on a list of the values, techniques, and joys I value in traditional open.
- Welcome!
Highlights: discussion of proper terminology (key if we’re going to get this right); examples of the network effects of open; the possible end of NO WARRANTY; an interesting academic paper; and some fun/scary demos.
- The FAQ
What is this site? Open and ML: Updates from the field is a collection of links and thoughts from me, Luis Villa, about the overlap of machine learning and various opens (source, data, etc.) I'm pondering publishing weekly but we'll see how it goes :) Why ML? ML is both the most exciting and the most fiendishly complex tech change of this millenium. How the open movement(s) grapple and interact with this profound change will be fascinating and important. Why Open(ish)? While individual pr
- Why open(ish)?
“Open” is a shortcut to a bundle of values, and the new generation of open will weigh those values differently. This newsletter is about those values, and those changes.