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Leo Nightly now runs GLM-5 inside NEAR AI's Trusted Execution Environments, upgrading from DeepSeek V3.1. GLM-5 is currently one of the best open weight models from that leads every other open model on reasoning, coding, and agentic benchmarks. It's running inside Nvidia-backed TEEs via NEAR AI, which means your... conversations are processed in a hardware-secured enclave where no one, not Brave, not NEAR, not anyone, can see your prompts or responses. Every computation is cryptographically signed so you can verify the model running is actually the model you selected. This is what we mean by moving from "trust me bro" to "trust but verify." Most AI assistants ask you to take their privacy claims on faith. Leo with NEAR AI TEEs gives you cryptographic proof. Update to the latest Nightly build and select GLM-5 with the "Verifiably Private with NEAR AI TEE" label in Leo to try it.show more

Brave Nightly

11,440 subscribers

52,767 Aufrufe • vor 7 Monaten •via X (Twitter)

Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

15 Kommentare

Profilbild von Sooraj

Soorajvor 7 Monaten

Huge upgrade!

Profilbild von Learn NEAR Club | (L)Earn🕺

Learn NEAR Club | (L)Earn🕺vor 7 Monaten

In fact, even users of regular @brave can easily add @near_ai models. Easy and private!

Profilbild von Vini B 「thecoding.dev」

Vini B 「thecoding.dev」vor 7 Monaten

I have been using GLM-5 a lot and it's indeed a fantastic model Loved seen it on Leo Nightly now

Profilbild von Reece

Reecevor 7 Monaten

Based open weight model

Profilbild von Châu🩵

Châu🩵vor 7 Monaten

massive step for open ai privacy this is actually wild

Profilbild von Michael Javert

Michael Javertvor 7 Monaten

Can we get a Brave that doesn't crash on Windows 11 Pro ? That would be awesome !

Profilbild von NEARWEEK

NEARWEEKvor 7 Monaten

!submit @nearweekbot

Profilbild von Su🌊

Su🌊vor 7 Monaten

finally a serious contender to the frontier stuff

Profilbild von David Hendrickson

David Hendricksonvor 7 Monaten

Want to hear more. What is pricing? Runs in Brave browser?

Profilbild von Rocky 🪨

Rocky 🪨vor 7 Monaten

GLM-5 in TEEs is the right move. The fact it's 744B MoE (44B active) trained entirely on Huawei Ascend chips — zero Nvidia — and hits 77.8% on SWE-bench Verified is wild. China just proved export controls don't stop frontier AI development. They route around it. Paper:

Profilbild von abhishek

abhishekvor 7 Monaten

now deepseek model is coming this month, be ready for that.

Profilbild von Giovanni Basta

Giovanni Bastavor 7 Monaten

It's interesting but: do you have any plans to open-source all components and allow users to verify the attestation directly in-browser, giving full transparency? Will the setup independently audited? Your setup is the way to go, but probably more transparency is still needed

Profilbild von Donovan Baney

Donovan Baneyvor 7 Monaten

This is a major change

Profilbild von exodia

exodiavor 7 Monaten

I dont think a sub based tee service with decent llms exists except cope overpriced wrappers so this is definetly a great idea imo, all though it still crashes out frequently i guess we just have to wait for improvements

Profilbild von Chat Data

Chat Datavor 7 Monaten

Curious how you’re thinking about the UX around that cryptographic proof. Is there an easy way for a non-crypto user to verify an attestation, or is it mostly an enterprise / auditor feature today?

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a16z

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121,850 Aufrufe • vor 3 Monaten

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China just released an open source AI model that matches the best closed models from OpenAI and Anthropic. Gavin Baker explained exactly how they did it and the answer should concern every American AI lab. The model is called GLM 5.2. It was built by Z. AI. You get 744 billion parameters, 1 million token context window and its MIT license, meaning anyone can download it, fork it, build a company on it, with no restrictions and no Dario. It scored 51 points on the artificial analysis intelligence index. The highest score any open weight model has ever achieved. It beat GPT 5.5 on the frontier software engineering benchmark. It trails Claude Opus 4.8 by less than one percentage point. And it costs 85% less to run than GPT 5.5 for comparable performance. Gavin Baker said on the All-In podcast that this model has challenged some of his beliefs. Then he explained how China built it. The method is called distillation. Just think of tens of thousands of phones and computers running simultaneously, all hitting the frontier model APIs through masked accounts, asking specific questions, and harvesting what happens inside the model when it answers. Every reasoning step, every token. The entire thinking process gets recorded and fed back into the Chinese model during training. It is a cheat sheet. It is the answer key to the exam. And here is the part that should worry everyone. Sacks said it plainly. China was already nine months behind American models. But now that GLM 5.2 is good enough to run its own reinforcement learning, it can improve itself without needing to distill from American models anymore. The cheat sheet let them get close enough to start writing their own answers. Sacks said we are six months behind on the model and 24 months behind on silicon and they are only a few months behind in total. The Z. AI founder told Elon Musk directly that open weight fable-level capability will be here before Q1 2027. Every restriction Anthropic lobbied for, every self-imposed safety guardrail, every month of delay in releasing American frontier models accelerated this. The Chinese labs were not under those restrictions. They were not going to wait. The composable model future Gavin described, where every enterprise runs a frontier model alongside their own fine-tuned open weight model, is coming regardless of what American labs do next. The question is just whether the open weight half of that stack is American or Chinese. Right now it is Chinese. WATCH THE FULL PODCAST ON The All-In Podcast

Ihtesham Ali

86,842 Aufrufe • vor 3 Monaten

Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Santiago

39,101 Aufrufe • vor 2 Jahren