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Beeberry
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Beeberry retweetet

Happy Sunday Afternoon, indie crew! ☀️🎶
It’s that golden stretch of Sunday afternoon where the weekend slows down just right — time for iced drinks, soft sunlight, and music that matches the easy pace. As an independent artist creating sounds straight from the heart, I’m sharing this track built for lazy hours, quiet reflections, and letting the day unfold naturally. Perfect for unwinding with no rush, just good energy and fresh indie vibes flowing through your space.
Comment your favorite way to spend a Sunday afternoon or drop a song that hits the same mood, tag your chill squad who needs this soundtrack, and share it with friends — real connections like these push everything further and help us all discover more together!
Tap the YouTube link attached right now — hit play on the full track, let it roll through your afternoon, stream it on loop, save it for those easy days ahead, and pass it along to anyone craving authentic indie feels. Every stream and share keeps independent artists like me making more without boundaries!
Who’s soaking in these Sunday afternoon grooves with new music? Let’s keep the good energy going! ✨ #SundayAfternoonVibes #LazySunday #IndieArtist #SundayVibes #MusicDiscovery #ChillIndie #SupportIndieMusic #AfternoonSoundtrack #IndieVibes #GoodVibesOnly
youtu.be/IBxngl9wfAg?is…

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Beeberry retweetet
Beeberry retweetet

The migration is officially complete.
All perpetual markets across Injective dApps now run on USDC.
Sounds simple.
But I think this is one of the most important infrastructure updates @injective has made recently.

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Beeberry retweetet

One of my biggest takeaways from DSperse is that not every part of an AI model needs full zero-knowledge verification.
Instead of proving an entire model, DSperse focuses on verifying the most important parts, reducing proof time and memory usage.
@inference_labs
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Beeberry retweetet
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

Just read about DSperse by @inference_labs — it’s a clever way to make zero-knowledge proofs work for real ML systems. Instead of proving everything, it focuses on key parts, saving time and cost while keeping results trustworthy....
English
Beeberry retweetet

@inference_labs’ DSperse makes zero-knowledge ML practical by verifying only the most critical parts of a model. Targeted verification cuts costs while ensuring trust in sensitive computations—bringing scalable, real-world privacy and integrity to AI systems. Smart, efficient.
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