Google and large AI labs are racing to own where your prompts and agents live.
Switching AI models is now instant and free. This should remain that way. But switching your AI workspace, where your prompts, history, and agents live, is much harder
The model layer should stay open.
Introducing Antigravity 2.0, a new standalone desktop application that delivers fully on that original glimpse of a truly agent-optimized experience.
Rebuilt from the ground up with multi-agent teams, scheduled tasks, native voice and one-click integration with other Google products.
Learn how to get started with Antigravity 2.0 ๐
Most AI agents don't speak crypto. Aethir Claw does.
Built for Web3 natives, Aethir Claw comes with purpose-built skills for:
๐ Crypto research
๐ Market monitoring
๐ Whale wallet watching
๐ On-chain alerts
๐ฃ Social media monitoring
Pay with ATH, USDT, USDC: The whole experience is crypto-native, from signup to on-chain agent workflows.
While other hosting providers target generic AI users, Aethir Claw captures the most underserved segment first: Crypto users who need agents that understand their world.
$AGPU just closed a $260M enterprise contract โ 2,304 NVIDIA B300 GPUs, dedicated, U.S.-based, deploying Q3 2026.
Enterprise AI buyers are done waiting. They want dedicated infrastructure, their hardware, their location, their terms.
That is exactly what Axe Compute delivers.
$AGPU #AI #neocloud #EnterpriseAI
https://t.co/pMmFxGN3gN
Security PSA
My main work Telegram (tg: @joechip5) was compromised as part of a DPRK campaign targeting crypto teams through hijacked accounts + fake video calls (zoom / microsoft teams)
Do not click or respond to anything from that account.
Reach me on Telegram thru my new handle @joeblock or work email
Anthropic quietly passed OpenAI in revenue pointing to boring B2B integration compounds faster than viral consumer segment
Win win for compute, the growth of both validates massive inference compute demand
Anthropic's 3.5 gigawatt compute deal is a signal, a couple of nuggets
- Anthropic revenue go from $9 B to $30 B in 3 months
- $50 B deal with Google and Broadcom means more forcasted demand
- A signal that compute infra demand is outpacing all projections
https://t.co/rCcoUgtyFQ
Introducing Aethir Claw: A managed AI agent hosting platform built on Aethir's decentralized GPU cloud.
- Secure, fully isolated environment.
- Everything you need to deploy an always-on AI agent.
- Crypto-native features coming soon.
Alpha version launched on March 25.
Here's what you need to know ๐งต๐
Game changer, Tencent Wechat giving a billion people automated digital assistants... and help raise lobsters
Also casually hints at the need for more compute
Today, we are officially opening the capability to integrate #OpenClaw into #Weixin.
With the launch of the #WeixinClawBot, users can use Weixin as a dedicated messaging channel for OpenClaw.
Now, you can send and receive messages with OpenClaw just like texting a friend.
#AIAutomation #AI
๐ Aethir is the first decentralized GPU cloud to deploy NVIDIA B300 GPUs at production scale, available now across the US, UK, EU, and Asia.
This means:
- Enterprise AI training
- Global reach
- Competitive pricing
- Backed by real SLAs
@KAUST_News, JobTalk AI & @gaib_ai are already building on Aethirโs decentralized GPU network.
The future of AI infra is decentralized.
Everyoneโs talking about the compute shortage. We came to the source
@nvidia Vera Rubin liquid-cooled infra on full display, the power and cooling platform behind next-gen GPU clusters at #GTC26
#NVIDIAGTC news: NVIDIA announces NemoClaw for the OpenClaw agent platform.
NVIDIA NemoClaw installs NVIDIA Nemotron models and the NVIDIA OpenShell runtime in a single command, adding privacy and security controls to run secure, always-on AI assistants. https://t.co/v1LtP3c8ZW
Sharing the latest @AethirCloud ecosystem updates!
Covered A LOT - major developments with Aethir + OpenClaw ๐ฆ, details on our new B300 mega cluster, and several other key updates.
This is the โhuman-editedโversion.
I also had my agent Jarvis edit the same raw footage ๐งต - who did better??
This is why I am increasingly of the opinion that open source frameworks like @openclaw will be the solution. Why build all this context into my Claude Cowork only to get wrecked by an OpenAI model update. Seems way more efficient to just swap api keys and maintain context in an interoperable environment.
Everyone burning @AnthropicAI tokens until they get the bill $$$
Then ... open sourced models will be the real winner of OpenClaw / agentic movement
Especially open sourced models hosted on your own compute.
Best quality and value for agent movement. @AethirCloud
Anthropic is fucking annihilating their competition this week
- $20B revenue rate (up from $14B literally *weeks ago* ๐๐ฝ๐๐ฝ๐๐ฝ)
- claude app downloads 4Xโd in 10 days (chatgpt unsubs up 300% โ ๏ธ)
- #1 on both ios appstore and android playstore
- overtaken openAi for enterprise subs.
absolute. total. dominance.
โWe have several years of infrastructure buildout ahead of us.โ
๐ฃ๏ธ Jensen Huang makes it clear: AI infra demand isnโt slowing down anytime soon. New innovations, new models, new use casesโฆ they all sit on one thing: scalable compute.
Distributed GPU infra becomes essential ๐ฅ
chinese AI labs are dominating right now
- LLMs: mini-max 2.5 is claude code but 20X cheaper, GLM-5 (zhipu) is a beast, deepseek 4 coming this month. theyโre as good as american models but way fckin cheaper.
- video models: china is undeniably #1 here. seedance 2.0, klingAI 3 are AMAZING - itโs hard to tell the difference between whatโs real and whatโs not.
- open source: once again chinas #1, 90% of their models are free to download and use locally, itโs also cheaper to use - i know a bunch of US startups that use chinese models to save costs (airbnb too lol)
- robotics: chinaโs producing 4X more robots per year than the rest of the world COMBINED. most of these robots are operational too i.e. their contributing to gdp. unitree and UBTECH are the ones to watch
- chips: this is their weak link. U.S. is ahead but huawei and alibaba have recently caught up (much quicker than expected) in their recent chip releases. need to keep an eye on this.
- energy: china has a boatload more compute, energy infrastructure and cheap labor to operate it all. the U.S. is far behind - isnโt clear how we catch up. deregulation is a big advantage.