@lalapalooza80@Thefactsdude What a joke. One person says, ‘Let’s donate to the victim’s family so white people get even angrier,’ and others react to that by posting even bigger nonsense from the opposite side.
A sick society. It’s so ridiculous when you say ‘white people’ and ‘black people.’
You’re all so.
@Stefan_RS@KO_Sequence@grok Pause (mumbling, unclear)
— (to his friend): “Let’s step outside.”
— Main guy: “Why the fuck would I go outside?”
— (Fight starts)
@Stefan_RS@KO_Sequence@grok — Guy in the beanie (grabs his shoulder): “You good?”
— Girl: (talking on the phone)
— Main guy: “I don’t even know you like that for you to be touching me.” (touches him back)
— Pause
— Main guy: “What?”
— Third guy: “So, everything good or not?” (extends hand)
@ministerjap Thanks for carrying , but I always use n word, and nobody.
No one shows any aggression toward me because of this. Of course, I use it in the context of a normal conversation,
maybe I just haven’t come across any offended people.
Sick)) poor shaia, but he looks so drunk))
Ankr has never been more excited to release the latest innovation from our team – Neura. @Neura_io the blockchain for AI. 🧠
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Liquidity meets execution.
Delve deeper into how @zottoAI and Neura are aligning incentives and unlocking new value across ecosystems.
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Neura is partnering with @anomalygamesinc to power two flagship experiences:
→ @neura_knights, a Web3 pixel RPG x CCG
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Anomaly builds the games. Neura runs liquidity.
Together, we’re connecting gameplay and finance onchain.
https://t.co/ZuybGWvjv9 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.
Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/ZuybGWvjv9, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases.
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Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol
https://t.co/ZuybGWvjv9 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.
Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/ZuybGWvjv9, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases.
Consumer Apple chips are also eligible to receive boosted rewards in the https://t.co/ZuybGWvjv9 Ignition Program.
Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol
🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
🗓️ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL
🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.
🗓️ March 6th, 1 PM EST
Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL
Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.
Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.
video from our community member @leeland_sol
Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.
Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.
video from our community member @leeland_sol
Demand for GPU compute continues to rise, making it much more expensive to access GPUs.
This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive.
@ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN.
This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.