Livepeer
6.7K posts

Livepeer
@Livepeer
The open GPU network for real-time AI video.
Katılım Mart 2017
431 Takip Edilen49K Takipçiler
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Livepeer retweetledi

New op-ed in Hypebot today!
TLDR; existing copyright law is not prepared to handle the rise of AI audio generation. Artists should demand product design choices that promote meaningful human authorship.
hypebot.com/why-ai-song-ge…
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Livepeer retweetledi

The Livepeer Protocol R&D SPE created a new LIP to improve orchestrator security and enable multisig orchestrators.
Check it out on the forum and share your thoughts. forum.livepeer.org/t/lip-delegate…
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We may be the last generation able to set the terms on which humanity and machines coexist.
If AI is to be powerful, it must be governed.
If AI is to be trusted, those who build it must be accountable.
If AI is to be global, it must be fair.
And if AI is to serve the future, it must not consume the future.
Let’s build a future of AI by humanity, with humanity, for all humanity.
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@jahirsheikh8 Now imagine if it was an open model and you could do this to your heart's content without hitting rate limits
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@antonioguterres The AI frontier will remain the same, but almost everything else should be open source, from orchestration, to the models and infrastructure
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The computing power, the data & the talent behind the most advanced systems are concentrated in a handful of companies, in a handful of countries.
When power imbalances are hard-wired into technology, inequality becomes part of the code.
Every country must have a seat at the table when it comes to AI governance.
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Learn more about how Mike started by bringing the biggest brands into the world of e-commerce, helped digitalize healthcare and is now making AI accessible and affordable for all:
livepeer.org/blog/builder-s…
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Tfw you time an engineering career with the dawn of the internet age
Read our profile of @MikeZupper, the systems architect who brought the world online and is setting his sights on open source AI with @BlueClawNetwork

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finetuning open source models has been hard to justify. why invest in tuning one when a better model ships within a month? our team just changed that.
a finetune can now transfer from one model to the next at a fraction of the cost, radically improving the economics.
Ramp Labs@RampLabs
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@DavidSacks Realistically, cutting edge frontier AI will probably always be closed source, but open source models / combinations aren't far behind and can absorb all capabilities at blistering speed
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Legacy Media types are calling this Alex Karp interview a “crash-out” so that’s your first clue that he is actually saying something extremely insightful. He is articulating what real “AI safety” looks like in the enterprise.
Not abstract alignment research or certification by a government-run DMV for AI. Real AI safety for businesses is the ability to control their own data, model weights, and compute — so a frontier lab can’t hoover up their proprietary knowledge and turn it into their next product.
As Karp explains, technical customers want “control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it’s not being transferred to someone else.”
Don’t think that can happen? Just look at Figma. According to The Information, Anthropic “blindsided” its then-business partner with the launch of Claude Design. Figma’s founder said Anthropic had not been “consistently honest” with them. Anthropic’s chief product officer had even served on Figma’s board until three days before the launch of Claude Design. Figma’s stock has fallen sharply this year while Anthropic’s valuation has surged.
This isn’t an isolated example. Anthropic has launched Claude Science, Claude Security, Claude Legal, and of course Claude Code — each expanding into categories previously served by companies building on top of their models. The pattern is consistent: watch where value is being created, then move in directly. Dominate the model layer, then use that position to capture the most lucrative verticals.
Dario has argued that open source models powerful enough to compete with Anthropic are “dangerous.” But dangerous to whom? Not to enterprises that want to retain control over their data and workflows. Dangerous to a business model that benefits from customers having few real alternatives at the model layer.
As Karp exposes, true enterprise safety isn’t trusting that a lab’s future roadmap won’t include your business. It’s retaining the ability to choose — at the model layer — who gets to see and use your alpha.
Palantir@PalantirTech
Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"
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Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models:
“What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.”
"Who owns the data? Are the prompts secure? Is this being transferred to you?"
"If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"
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@RexhaRexhaRexha The sovereign, open source AI stack is already here and only getting better with every day!
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Fred Wilson, Co-Founder of Union Square Ventures, believes open-source AI models will ultimately win over closed models.
"People say open-source models are never gonna be as good as the closed models the big AI labs are putting out. I don't buy that."
"I think open-source models are the future. We're all gonna be running them on our own devices."
"I don't know what that says about OpenAI and Anthropic's business models long-term but I think open-source models are inevitable."
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