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Researchers Use AI to Decode the Secret Language of Dog Barks
A new study shows how AI models can be used to reveal information about dogs based on their barks.

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@SingularityNET, a founding member of the Artificial Superintelligence (ASI) Alliance, has partnered with @MinaFoundation to advance decentralized Artificial General Intelligence (AGI) with a focus on privacy and security.
The collaboration integrates SingularityNET’s AI infrastructure with Mina’s zero knowledge tech and aims to develop AGI-powered decision-making agents for decentralized governance, creating a more secure and privacy-preserving AI ecosystem.
Both organizations will explore joint funding initiatives through programs like Deep Funding and Navigators to support developers building innovative, interoperable AI models across blockchain platforms.
Playground is now live!
With Playground, anyone can experiment with AI agent creation using our in-house AI agent framework—no token launch required.
Soon, you’ll be able to connect your AI agent directly to Twitter and let it run autonomously. Additional tools (e.g., DeFi, gaming, on-chain transactions, L1 launcher) will roll out with the upcoming Agent Intelligence Protocol (AIP).
This is your chance to get familiar with agent creation ahead of our bonding curve launch next week.
Twitter Blueprints: Select Twitter profiles to synthesize behavioral patterns and linguistic signatures for your AI agent's cognitive architecture. Fascinated by a Twitter profile? You can now get your AI agent to think and speak like it.
Personality: Define a key characteristic that shapes your AI agent's behavior or interaction style.
@wordgrammer said:Okay. Thanks for the nerd snipe guys. I spent the day learning exactly how DeepSeek trained at 1/30 the price, instead of working on my pitch deck. The tl;dr to everything, according to their papers:
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There are a bunch of other small innovations, but these are the big ones.
I don’t think there’s anything magical here. I really think they just made 2 massive cost-cutting innovations, which let them run more experiments, which led them to reverse engineer o1 faster.
...
“Is the US losing the war in AI??” I don’t think so. DeepSeek had a few big breakthroughs, we have had hundreds of small breakthroughs. If we adopt DeepSeek’s architecture, our models will be better. Because we have more compute and more data.