Do It by Code
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We uhhhhh... do things by coding them.
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🔥An update for Sora

Now the neural network can change individual objects in the generated video based on a text request.

True, it is still far from ideal. In the example, not only the main character has changed, but also other objects that should have remained unchanged.

#AI
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Sora competitor appeared in China

The model is called Vidu, it allows you to generate 16-second videos with a resolution of 1080 from prompts.

The project uses the Universal Vision Transformer (U-ViT) architecture, which combines the best of the Diffusion and Transformer models.

The lag behind Sora is visible in some places, but even if everything turns out like in these videos, it’s still a high bar.

#AI
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Full-fledged game locations from a short space - this is how the combo of Stable Diffusion 1.5, ControlNet, TripoSR and three.js works.

You just run around the map and create textures with text, magic. The developer promises to share the code soon.

In a couple of more years, gamedev courses will teach effective and optimized prompts for neural networks.

Source
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Probably the most hyped service on the Internet right now is Simulon.

In short, it’s an AI-based service that generates cool CGI in real time! Yes, these works are not a new development by Boston Dynamics, but stupid graphics on a regular phone!

The closed beta is currently underway, you can submit your application here.

#AI #CGI
The most backdoor-looking bug I've ever seen (2021)
Article
Do It by Code
The most backdoor-looking bug I've ever seen (2021) Article
The article discusses a bizarre cryptographic bug that was discovered and fixed in the Telegram messaging app's protocol (called MTProto) around 7 years ago. The bug allowed Telegram's servers to perform an undetectable man-in-the-middle attack and decrypt all messages in supposedly end-to-end encrypted "secret chats".
The issue stemmed from Telegram using standard finite-field Diffie-Hellman key exchange to establish a shared secret between chat participants, but then pointlessly XORing the result with a server-provided nonce value. This allowed the server to manipulate the nonce so that both parties ended up with the same key, which the server also knew, breaking the encryption.

Removing the nonce step fixed the vulnerability, showing it served no legitimate purpose. The author finds this the most backdoor-looking bug they've seen, as the protocol designers seemingly went out of their way to add complexity that only enabled interception. An official Telegram statement apparently claimed the nonce was to protect clients with weak randomness, but the author dismisses this explanation as nonsensical.
While this is an old issue and there may be better reasons not to use Telegram today, the author still considers it a prime example of how blatant and bizarre cryptographic backdoors can look in practice. The unnecessary complexity is a big red flag.
Do It by Code pinned «https://copy.sh/v86»
https://go.dev/blog/chacha8rand

Explore the recent advancements in randomness within the Go programming language. Authors Russ Cox and Filippo Valsorda, part of the Go team, look closely at the complexities of addressing security requirements for specific use cases and the implementation of the ChaCha(Rand8) algorithm. Discover how these improvements have enhanced random number generation in Go, culminating in the seamless security enhancements introduced in Go 1.22.