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AkashML

@akashnetAI

AI development will never be the same. Built by @ovrclk_ on @akashnet.

Katılım Şubat 2023
4 Takip Edilen3.3K Takipçiler
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AkashML
AkashML@akashnetAI·
Never let token limits interrupt your workflow again. Developers who keep getting cut off mid-session can now hot swap to AkashML. Choose from DeepSeek V4 Flash, Kimi K2.6, or Qwen3.5 35B A3B and get back to building in minutes. First 10 builders to make the switch and reply to this tweet with their experience get $100 in credits. Get started → #macos-and-linux" target="_blank" rel="nofollow noopener">playground.akashml.com/docs/guides/cl…
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RazerAI
RazerAI@RazerAI·
Razer and @akashnet just scaled a free AI experience to thousands of users globally at the cost of $0.01 per image. The secret? Two technologies built for completely different problems, working as one. Here's how 🧵
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BadKidsEnjoyer
BadKidsEnjoyer@BadKidsEnjoyer·
$AKT @akashnet AkashML is having a strong increase in OpenRouter traffic Here are some stats: - 50B+ tokens processed per month on OpenRouter - Multiple days already hitting 5B+ tokens/day - Multi-model demand (DeepSeek V4, Kimi 2.6, Qwen) This is not random -> it is recurring organic inference demand flowing straight to decentralized GPUs Powered by @akashnetAI
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Akash Network
Akash Network@akashnet·
Today we're pleased to share how AVA Mini, @Razer’s personalized AI companion experience, was brought to life at global scale using Razer's AIKit and Akash. By leveraging Razer AIKit’s inference capabilities on Akash’s decentralized compute network, managed by AkashML (@akashnetai), the team achieved: • $0.01 per generated image • 3.24 second average response time • Seamless scaling during peak campaign demand • Zero manual intervention across the campaign lifecycle Read the complete whitepaper: razer.ai/aikit-akash-av…
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Amanda
Amanda@vakaytion·
♟️Your move, San Francisco Networking doesn't have to be boring — join @akashnet & @MILibrary at @thehousesf on April 30th for an AI & Chess Mixer We're taking 'Board Meeting' to a whole new level Come hang out with us on Thursday, in San Francisco luma.com/weightedmoves
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AkashML
AkashML@akashnetAI·
Akashml.com crossed over 100B tokens this month.
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Greg Osuri 🇺🇸
Greg Osuri 🇺🇸@gregosuri·
AkashML.com does not ban you, Kimi K2.6 is just as good as Opus for coding. You don’t need the Anthropic Anxiety.
Om Patel@om_patel5

ANTHROPIC JUST BANNED A 110 PERSON COMPANY OVERNIGHT WITHOUT WARNING monday morning at an agricultural tech company, every single employee wakes up to an email saying their claude account has been suspended 110 people locked out at the same time with zero warning and the email even pretended it was an individual ban with a link to a personal appeal form it took them 10 minutes on slack to realize the entire org had been wiped at once. not even the account admins were told it was coming they submitted the appeal form and got no response, even after 36 hours later there was still nothing AND it gets worse: > their separate API account is still active and still billing them > their admins can't log in to view usage or billing because the email addresses are banned > they got hit with a renewal invoice the day AFTER the team account was suspended > they have no idea what triggered it. fertilizer conversations? GPS satellites? agriculture in general? so they're paying anthropic to get banned by anthropic while anthropic ignores their support tickets the founder of the company laid out the bigger problem perfectly banning an entire organization for one user's behavior means a single employee or careless intern can revoke claude access for your whole business. there's no per seat guardrail, no admin override, no way to limit the ban radius his words: "you have to ask yourself if this is a platform you can entrust your daily workflows to as a business" every founder reading this who runs claude through their company should be checking right now what their actual exposure looks like billion dollar AI company with zero enterprise customer support

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AkashML
AkashML@akashnetAI·
Now Available on AkashML: Kimi K2.6! This open source agentic MoE model activates only 32B of its 1T parameters per token, delivering frontier-level performance built for sustained autonomous execution: → Long-horizon coding across Rust, Go, and Python → 256K context window with native multimodal support → Agent swarms scaling to 300 sub-agents and 4,000 coordinated steps → Autonomous execution that runs for hours without human oversight Access Kimi K2.6 on AkashML: akashml.com/models/kimi-k2…
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Greg Osuri 🇺🇸
Greg Osuri 🇺🇸@gregosuri·
Akash is teaming up with AWS to host the "Agentic Engineering Hackathon" this Friday in San Francisco. Join us if you're around! luma.com/shiptoprod
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Akash Alpha
Akash Alpha@akashalpha_·
Hermes is rising through the ranks as the agent harness to use. Deploy your own Hermes agent on @akashnet running on AkashML models with the Akash Agents platform, from the @AkashClub_ community. I'll walk you through the entire way with my latest $AKT focused guide. 👀👇
Akash Network@akashnet

It is incredible to witness Hermes overtaking OpenClaw as the number one agent among power users. Hermes Agent went from near zero to over 90 thousand GitHub stars in roughly six weeks, and every star invites new contributions, skills, integrations, and real use cases from the open source community, compounding its success.

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Greg Osuri 🇺🇸
Greg Osuri 🇺🇸@gregosuri·
AkashML.com processed 3.5 billion tokes per day on an average in the past 7 days. Every token processed burns a portion of $AKT.
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Akash Network
Akash Network@akashnet·
Don’t miss another launch, network upgrade, partnership, or product milestone on Akash. Akash Atlas is our free monthly newsletter that keeps your finger on the pulse of all things related to our roadmap. Sign up on our homepage and never miss another update.
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Greg Osuri 🇺🇸
Greg Osuri 🇺🇸@gregosuri·
OpenAI announced they are pausing their plans to build out data centers in the UK due to energy constraints. This is one of the many proof points that centralized AI data centers have limits to scale. Meanwhile, decentralized AI training is proving to be a promising alternative where the compute is distributed across the globe, not limited by the grid.
Jake Brukhman@jbrukh

There's a lot of really exciting developments happening in decentralized AI training this year. Here's my take on why decentralized training is moving from "impossible" to "investable". 🧵👇

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AkashML
AkashML@akashnetAI·
Qwen3.5-35B-A3B is now available on AkashML! This Hybrid MoE model activates only 3B of its 35B parameters per token, delivering efficiency that outperforms models 6x its size: → Native multimodal reasoning across text, images, and video → 262k context window and 201 languages supported → Runs on consumer hardware → And much more Get API access at $0.23/M input tokens and $1.80/M output tokens. Deploy now → playground.akashml.com
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