Wenfeng Wang (@tolak_eth) header
Wenfeng Wang (@tolak_eth) profile picture

Build AI people can trust. Confidential Computation on TEEs and Nvidia CC. SOC2 · HIPAA · Listed on OpenRouter. All encrypted. Search https://nitter.cf/t.co/7b2jVnUzWD

Moon
Joined November 2015
Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)Photo by Wenfeng Wang (@tolak_eth)
Man working at SF frontier AI labs called “SOTA MAN”
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Wenfeng Wang retweeted
Congrats to @RIFTHQ on launching Rift 🎉 Phala and dstack give Rift a hardware-backed, verifiable execution layer for chaining complex onchain routes into a simple one-click experience. This is TEE infrastructure turning better execution into better UX.
Today we’re releasing the ultimate onchain API: RIFT Best price execution for any onchain route, in one click …with 0 added fees
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Wenfeng Wang retweeted
Phala Confidential AI: 178.40 billion tokens over the past 24 hours. Top models: GLM-5.3 47.87% deepseek-v4-pro-0813 12.79% GLM-5.3 Flash 10.08% phala.com/models/z-ai/glm-5.… TEE-backed AI infrastructure.
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Big shout out
Introducing Addys AI It turns your meetings and messages into action items, then gets them done for you.
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It is time to source a confidential AI provider if you have concerns over the potential exposure of your sensitive data
We're publishing our most detailed threat intelligence report to date. It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them. We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies. These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve. We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop. Read the report: anthropic.com/threat-intelli…
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Wenfeng Wang retweeted
How to build sovereign AI from first principles? where we disappear:
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Wenfeng Wang retweeted
Qwen3 8B is live on Phala—served inside a TDX-attested GPU TEE. Private, verifiable inference for coding, long-horizon agents, reasoning. phala.com/models/qwen/qwen3-…
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Wenfeng Wang retweeted
GLM-5.3 from @Zai_org is live on Phala—served inside a TDX-attested GPU TEE. Built for complex software engineering and long-horizon agents, with 1M context, tool use, and structured outputs. $1.40/M input · $4.40/M output. phala.com/models/z-ai/glm-5.…
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Wenfeng Wang retweeted
We are open sourcing Umbra, an isolated cloud environment for AI agents. github.com/concrete-security… Umbra came from a internal need at Zama where we wanted to use agents across the company without giving them more access than they actually needed. Agents can write code, install software, read internal data, use credentials and interact with production systems. As they get more capable, it becomes unrealistic to review everything they do step by step. So the idea behind Umbra is simple: put the agent in a box. Give it a machine, let it work inside, and focus on what happens at the boundary. The VM is theirs. The edge is ours. Anything that touches github, slack, notion, internet, production or any other external system goes through a controlled proxy. That is where we apply policy. Can this agent access this repo? Is github read-only? Can it push code? Can it reach production? Which credential does it need? We grant access only when needed, and secrets are injected only for the operation being authorized. The same applies to what comes out. Code, data or actions can be checked before they leave the environment. Umbra is still experimental, but the key idea is: give agents enough freedom to be useful, assume they will sometimes make mistakes, and keep tight control over the boundary. Agents can be unpredictable and most likely will always be. Boundary shouldn't be.
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Wenfeng Wang retweeted
16.66 billion tokens powered Confidential AI workloads on Phala over the past 24 hours. Top models: • DeepSeek V4 Flash — 39.44% • GLM-5.2 — 26.48% • Muse Glimmer 30B — 8.94% Explore #1: phala.com/models/deepseek/de… TEE-backed AI infrastructure.
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Just watched yesterday, I recommend people this movie, it’s the first anti-war move described from the view of Chinese. Like @RnaudBertrand said, it neither anti Iraq nor US. Nobody born as terrorist, and American soldiers has family and their love.
This is a genuinely exceptional movie: probably the single best movie ever made on the Iraq war. It's called "Once upon a time in the Middle East" (欢迎来龙餐馆) and I just watched it in a Chinese movie theater, but I'm sure it will be available abroad at some point (if not the case already). It follows the story of a Chinese chef, Xu Fu, who travels to Iraq pre-war to cook at a Chinese restaurant in Baghdad. When the war breaks out, he initially wants nothing to do with it - he's already bought his ticket home. But his boss Zaid, an official at the water and electricity ministry, convinces him to stay and keep supplying meals to the safe zone for high pay. As the occupation descends into chaos, Xu Fu gets pulled deeper into the conflict: he's detained and interrogated by the Americans for his ties to Zaid (who has become an insurgent after his family died in the war), then he gets detained by the insurgency when they attack the US prison where he was held, and he eventually end up trying to protect a group of orphans from being recruited as child bombers. It's the contrary of pro-war propaganda, as war movies too often are: it's a film about how war swallows everyone who thinks they can stand apart from it. There are no glorious causes in it, no "good" or "bad" side, only people caught in the madness. It's not even anti-American, at least not in a crude way: the film clearly blames the US for starting the war - which they did - but Xu Fu ends up befriending a group of American soldiers who become patrons of his restaurant and are themselves clearly portrayed as victims of the war, as are Iraqis. As such there is no hatred in this movie - the only hatred is against hate itself, against the dynamic of war and maybe against rulers who decide to trigger it. Which makes it a very subtle and profound film: it never lectures, never simplifies, and lets the tragedy play out quietly until it overwhelms you. People weary of Hollywood's black-and-white framing, where wars are always morality plays with designated good guys, will find it deeply refreshing: here there are just human beings, which is precisely what makes it so devastating.
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Wenfeng Wang retweeted
DeepSeek V4 Flash 0731 is live on Phala. The official release replaces the preview checkpoint with substantially enhanced agentic capabilities—served through confidential GPU TEE inference. phala.com/models/deepseek/de…
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Now you know why @AnthropicAI can convince US gov take action to defend Chinese open models. Because those politicians know nothing about open source and software, they basically make jokes in front of industry people.
Let's be clear what is happening here: Google is paying Moonshot, a Chinese AI developer, for the right to host a Chinese AI model on US cloud, and partnering with them to serve it to US customers using US chips. This obviously should not be allowed. Moonshot's open-weight license is not 100% free. It makes clear that any commercial cloud provider must pay it if it wishes to host Kimi, which is why Google's announcement actively thanks Moonshot AI for their partnership. Regardless of what people think about the pros and cons of open source AI, leading US AI companies should not be partnering with leading Chinese AI companies and paying them to help China serve their products, full stop. This does not help America in the AI race. Nothing could be more damaging to US efforts to ensure US models dominate globally. discuss.google.dev/t/announc…
Readers added context they thought people might want to know
Google Cloud provides deployment guides for users to self-host Kimi K3 on its infrastructure, not hosting or serving the model itself or paying Moonshot AI. The model's license does not require payment from cloud providers for user self-deployment support. discuss.google.dev/t/announcing-d… huggingface.co/moonshotai/Kim…
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Wenfeng Wang retweeted
Kimi K3 is live on Phala for confidential frontier intelligence. 2.8T parameters. Native multimodality. 1M-token context. GPU TEE-backed inference for long-horizon coding and agent workflows. phala.com/models/moonshotai/…
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People keep asking when @PhalaNetwork will launch Kimi K3. Sooooon... We just need more B300; we are preparing for that
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Wenfeng Wang retweeted
Trust in AI goes beyond the prompt. Hang Yin of @PhalaNetwork argues that securing AI means protecting the entire lifecycle, from training and deployment to inference. The future of AI depends on trust that can be verified.
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