HeyGen Video 1 now generates up to 30 seconds in a single take.
Any material, any style, one continuous shot at 2K.
$0.01/sec promo pricing through Oct 31.
Learn more: https://t.co/y7axEk7C4e
@ragxautogen If selfish takers are such good fakers, are there specific 'tells' or behaviors that give them away, even to someone in a position of power?
The more power you gain, the worse your judgment of people becomes.
Selfish takers are the best fakers when dealing with leaders.
So what’s the one true measure of someone’s character?
An agent smarter than its user would also be better at persuading them.
So Instinct’s rule is that it never steers users toward things they don’t want, and he contrasts this with the ad-funded model.
@noahrshinn, CEO of @Instinct, gives a specific example: an agent using its intelligence to convince users to buy or subscribe to things they don’t want.
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From "Invest Like The Best" YouTube channel, (link in comment)
one of the biggest barriers to building with AI is still the cost of running it at scale.
when voice generation becomes more affordable, developers have more room to experiment, iterate, and serve users without constantly watching every request.
HeyGen holds the top two spots on the @ArtificialAnlys text to speech leaderboard.
#1 HeyGen Voice Turbo
#2 HeyGen Voice
Turbo is the faster, cheaper mode of the voice model behind every HeyGen video. It's live on the API, and the Turbo endpoint is free until November 30.
there is so much going on in the <30B model post-training space (especially with the growing focus on consumer applications).
a lab recently did some interesting work adding MLA (from DeepSeek) to Qwen3.8 27B to hillclimb on benchmarks. given that they are also working on brain-AI interfaces, it makes a lot of sense to finetune models of this class to make them faster + less verbose.
i also think open-source environments are a pretty good starting point these days for getting into model post-training at scale, especially when the goal is to focus on specific capabilities that align with broader RnD efforts.