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The appropriation of knowledge by Big AI resembles the burning of the Library of Alexandria, a collection reduced to ashes amid ambitions of competing empires.
Today's empires want to subdue all human knowledge into their digital dominion. If the intelligence from those books stays proprietary, that's a loss for humanity.
Open sourcing the models trained on this enormous body of knowledge is the least they can do.
The first open 3T model releases its weights, NVIDIA CEO debuts on X in support of an open AI ecosystem, and 36+ companies join the Open Secure AI Alliance.
Open-source AI summer has arrived ↓ https://t.co/WuoXUGiw7M
Smallholder farmers grow 33% of the world's food but lose up to 60% of its value to middlemen, often without ever knowing the real price.
The fix is an open source AI supply chain: one that grades a crop from a photo and proves its origin to distant buyers so that the value stays with farmers.
That's why we're committing $42M to get this built ↓
Would you trust a critical system that nobody outside the vendor can audit?
That's exactly what closed models demand. Systems you can't inspect, test, or run yourself.
That's not security. That's dependence.
Older people are living longer but lonelier than ever.
We believe an open source AI companion for aging well can change that: one that remembers their family, spots warning signs, and counts success only when they reach a real human.
That's why we're putting $42M behind builders to make it real ↓
Open-source at its finest.
Fireworks was listed as supported, but EvoSkill didn’t fully recognize it until @0xHermes_ documented the “unknown provider” bug behind the crashed calls.
Now EvoSkill v1.3.0 ships with first-class Fireworks support ↓
> Funding for researchers, open source maintainers, independent developers, and public goods builders comes with no equity, and no claim on the work.
You keep everything you make.
> Backing for startups is on founder-friendly terms, with the investment intended for teams developing commercial businesses around open-source AI.
Scale your operations the way you want.
> You qualify if at least one essential element is openly available and contributes meaningfully to your project's value and adoption.
No need to open-source the whole stack.
"Another obvious trait of great people is that they do their work in such a fashion that others can build on top of it.
Newton said, 'If I had seen farther than others it is because I stood on the shoulders of giants.' Too many people seem to not want others to build on top of their work but rather they want to hoard it to themselves.
Don't do things in such a fashion that next time it must be repeated by you, or by others, but rather in a fashion that represents a significant step forward."
Good point made by Dr. Richard Hamming that could, and probably should, be extrapolated to building in the open.
You lay out the foundation brick by brick for others to collaborate and improve upon. Everyone builds, then someone else builds on top, and as a whole, the field moves forward through this collective effort.
Choose open source. Create for all.
@WatcherGuru Export restrictions can change overnight, but open-source AI belongs to everyone from day one.
That’s why we’re funding the builders making it happen ↓ https://t.co/NpPeZo5aZ5
What if the harness matters as much as the model itself, both for how many tokens you burn and how often you actually solve the task?
That’s the question @iamnamanvats and @oleg_golev explore in “The Scaffold Effect in Coding Agents”, accepted at the incoming @icmlconf 2026.
Here's how to use Sentient’s findings to cut your own coding agent's inference costs by up to 40x, and why your choice of harness may matter more than your choice of model ↓