Open Source AI and the Paradox of Open – Open Future
openfuture.eu
Open Source AI and the Paradox of Open – Open Future
The challenge for the open movement is already clear: build an alternative to corporate, closed machine learning systems. And to protect the commons from exploitation by these systems.
How Wikipedia can shape the future of AI – Open Future
madisen added
he world needs access to open and democratic AI systems that function as digital public goods.
How Wikipedia can shape the future of AI – Open Future
madisen added
📢NEW PAPER!
Where @davidthewid, @sarahbmyers & I unpack what Open Source AI even is.
We find that the terms ‘open’ & ‘open source’ are often more marketing than technical descriptor, and that even the most 'open' systems don't alone democratize AI 1/
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4543807... See more
Sarah Drinkwater added
And in the end, OpenAI doesn’t matter . They are making the same mistakes we are in their posture relative to open source, and their ability to maintain an edge is necessarily in question. Open source alternatives can and will eventually eclipse them unless they change their stance. In this respect, at least, we can make the first move.
Simon Willison • Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
sari added
The case for open source AI
press.airstreet.com
madisen added
Google have already found it difficult to keep their advantages protected from competitors such as OpenAI, and now that the wider research community are collaborating in the open they’re going to find it even harder
Simon Willison • Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
sari added
Another issue is low tech defensibility. In the AI world tech defensibility is harder to achieve because new/revolutionary models are being developed mostly in open, academic settings and so are available in open source.
Matilde Giglio • What we look for in AI companies (and why they are different)
sari added