Saved by Darren LI and
Google "We Have No Moat, and Neither Does OpenAI"
sari 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
The premise of the paper is that while OpenAI and Google continue to race to build the most powerful language models, their efforts are rapidly being eclipsed by the work happening in the open source community.
Simon Willison • Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
sari 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
rob hardy added
A mini AI futures manifesto from @deepfates
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
The size and sophistication of these models make it impossible to fully understand how they make predictions. They have billions of weights that interact in subtle ways to make a final prediction; looking at them is like hoping to understand psychology by examining individual brain cells. Even in academic settings with well-established models, the ... See more
future.com • How Recommendation Algorithms Actually Work | Future - https://future.com/forget-open-source-algorithms-focus-on-experiments-instead
Tom So added
The fight between creators and AI companies is fierce. The current paradigm in AI is to build bigger and bigger models, and there is, at least currently, no getting around the fact that they require vast data sets hoovered from the internet to train on.
Claudia added