Joined January 2013
- Tweets 36,434
- Following 398
- Followers 4,104
- Likes 101,197
7,289 Photos and videos
The Polkadot mobile app.
It seems that you can get some nice screenshots of the new Polkadot t3rminal / W3S Pay from these newly public repos, if you ask your AI friend nice enough.
These are the "merchant/terminal" part – i.e. what a vendor sets up when you are purchasing something from them.
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Jun 9
Phala is among the most relevant projects in decentralized Confidential AI today and this is a further confirmation that the pioneering path taken by @PhalaNetwork was far-sighted and correct... the results will come, you have to believe in something! 🤩
#Apple #Nvidia #Google
Proud to collaborate on the next frontier of private AI. 🔒
Apple is expanding Private Cloud Compute to @GoogleCloud using NVIDIA GPUs.
nvda.ws/4ewJl3q
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Jun 8
Following the Polkadot 2.3.0 runtime upgrade and related governance steps, the goal is to introduce DOT fast unbonding (max 2 days) and unslashable nominators by the end of June. 👀
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ᑕᗩ₱₱ΞX retweeted
Jun 7
NYC tomorrow: we’re joining @monad and @archetypevc for Forum | Privacy AI at @ethconf.
Our founder @marvin_tong will represent Phala in the company showcases alongside @TACEO_IO and @turnkeyhq.
Come meet builders pushing privacy AI forward.
luma.com/28k7z005
Heading to @ethconf in NYC?
Join us in learning more about what's at the frontier of privacy AI with thought leaders and leading companies.
Co-hosted by @archetypevc and Monad Foundation.
Sign up 👇
luma.com/28k7z005
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Did you know that quite a lot of information about some of the upcoming Polkadot products that's now publicly available?
I guess I'll go through some of them for you.
Disclaimer: this is very likely an incomplete list, so don't get mad, upset, or otherwise cry at me, ta.
Did you know that you can tell your AI friend to review an organization's public GitHub repos and find out more about what they are doing?
A few orgs have stuff in public repos that they haven't yet spoken about on Twitter. Sometimes they even include references to things that are in private repos.
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Jun 4
Phala is joining the Confidential Computing Consortium Summit in San Francisco.
Founders @marvin_tong and @bgmshana will be on the keynote stage to share how confidential computing helps AI infrastructure ship with trust built in from day one.
See you at #CCSummit 🔐
🔐 The future of #AI infrastructure needs trust built in from day one.
That’s why we’re excited to welcome @marvin_tong, Co-founder of @PhalaNetwork, to the keynote stage at #CCSummit in San Francisco, June 23-24.
Secure AI. Protected data. Real deployment strategies.
🎤 Talk details: sched.co/2ODlZ
🗓️ Full schedule: bit.ly/4u9jS5P
🎫 Register: bit.ly/47hX8qK
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Jun 1
OpenRouter proved its worth with this incredible achievement!
@PhalaNetwork, as one of the platform's historic providers with now approximately 2.5 billion tokens stably managed every day, had long recognized this. 👏
May 26
Today we’re announcing our $113M Series B led by @CapitalGVC.
Over the last 6 months, weekly volume on OpenRouter grew from 5T to 25T tokens as AI rapidly shifts from experimentation into production.
We’re excited for what comes next.
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May 30
AutoGPT kicked off the autonomous-agent wave.
Now it runs on Phala Cloud with TEE-backed isolation for private AI workflows.
Deploy: cloud.phala.com/templates/au…
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May 29
While Google uses TEE in a centralized manner to protect Android data aggregation, @PhalaNetwork offers the same confidential computing tech in a decentralized and verifiable form, allowing anyone to build private analytics or AI systems without having to trust any single entity.
May 29
A good practice report of TEE from @Google
research.google/blog/private…
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May 25
Interesting trend on Polkadot Asset Hub: the total native tokens (deposits balances) held by top contracts keeps rising sharply. 👀
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May 25
By tracking Stripe API keys, this chart indicates a steady growth in users paying to use @openclawdiai. The numbers are still relatively low, but it's an interesting trend to follow. 👀
Clawdi is an AI product developed by Phala Network!
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Polkadot OpenGov is voting on a major change to the network’s staking architecture.
Referendum 1890 proposes that validators on Polkadot are required to lock a minimum of 10,000 DOT of their own funds as self-stake.
This reform is a mandatory prerequisite for the next major staking upgrade:
• Nominators becoming unslashable
• Fast unbonding (~24-48h instead of ~28 days)
The logic is simple:
Validators absorb the slashing risk directly through significant self-bond exposure.
Nominators can continue earning staking rewards without exposing their principal to slashing.
If enacted, Polkadot staking would remove its two largest barriers to participation:
Lower risk. Faster exits.
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Ready or not, here they come.
Quantum computers may still feel like science fiction to some. For blockchain security, they are not.
The real question is no longer whether quantum computers arrive tomorrow or in ten years. It is whether networks are ready when they do.
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May 20
This changes how we think about trust in AI and cloud infrastructure.
Instead of saying “trust the cloud provider”, Phala provides publicly verifiable evidence for all TEE apps. 👇
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JAM Implementer Teams - the automated fuzzer to test JAM implementations is now accessible here: fuzz.jamtoaster.network/
Please note that you will need to register and be approved, and need ~ 0.5 DOT to use it. Also please note that this is only for JAM implementer teams.
If all is successful, you can attest on-chain and then set up an interview with the Polkadot Technical Fellowship.
See the "Let's JAM" channel on Matrix ( #jam:polkadot.io ) for more details.
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May 19
AI agents are getting smarter, but their memory still feels fragile.
Switch framework. New device. Fresh environment. Suddenly you’re rebuilding context, reconnecting tools, re-adding secrets.
Meet @openclawdiai: persistent memory for agents that actually travels with you.
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May 7
Meet @bgmshana from Phala Cloud.
In a recent featured talk part of a series on Confidential Computing, he breaks down how we can build a "Privacy-First" future for AI using Trusted Execution Environments (TEEs). 🛡️🤖
Here are the key takeaways from his session. 🧵👇
Just wrapped my talk at Confidential AI Systems.
My main point: confidential AI only matters if normal AI teams can actually use it.
Private inference, protected model weights, attestation, real trust boundaries. All without requiring everyone to become a TEE nerd.
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