Minimal News_

Its impressive that Llama and the Ai teams in general survived the meta-verse push at Facebook. Congrats to the team for keeping their heads down and saving the company from itself.

Its all Ai all the time now though, not seen any mention of our reimagined future of floating heads hanging out together in quite some time.

This company is so untrustworthy, I don't see how anyone could dedicate any time to working with their platform or technology. Any acts of benevolence that they are putting forth now are sure to be followed by the most underhanded rug pulls you can imagine. My guess is that they'll let the model out for free, but they'll want to own the "memory" that defines people that use it. Who knows, but they're definitely thinking about the future beyond just playing defense and using FB Ad money to artificially compete in this space by giving things away.

I am guessing because of Qwen 3 release they pulled back the reasoning model that was likely due to launch today.

Feels like Meta is going to Cloud services business but in AI domain. They resisted entering cloud business for so long, with the success of AWS/Azure/GCP I think they are realizing they can't keep at the top only with social networks without owning a platform (hardware, cloud)

This is odd - it keeps mentioning Open Source but the Llama license isn’t open source at all - see https://www.llama.com/llama3/license/. The “additional commercial terms” section violates the open source definition as does the advertising clause.

I would’ve hoped to have seen Meta, in their supposed dedication to open source, actually fix it.

No new model? Maybe after the Qwen 3 release today they decided to hold back on Llama 4 Thinking until it benchmarks more competitively.

Does anyone use llama as their primary model for any usecase? Maybe it's my fault for not spending much time with it, but I still couldn't find the applications for which llama has an advantage over the competition.

Can someone explain to me please why Meta doesn't create subject specific versions of their LLMs such as one that knows only about computer programming, computers, hardware software.

I would have imagined such a thing would be smaller and thus run on smaller configurations.

But since I am only a layman maybe someone can tell me why this isn't the case?

Facebook did a great job open sourcing Llama and pushing the market to being competitive, but this list seems super shallow.

0. Introducing Llama API in preview

This one is good but not centre stage worthy. Other [closed] models have been offering this for a long time.

1. Fast inference with Llama API

How fast? and how must faster than others? This section talks about latency and there's absolutely no numbers in this section!

2. New Llama Stack integrations

Speculations with 0 new integration. Llama Stack with NVIDIA had already been announced and then this section ends with '...others on new integrations that will be announced soon. Alongside our partners, we envision Llama Stack as the industry standard for enterprises looking to seamlessly deploy production-grade turnkey AI solutions.'

3. New Llama Protections and security for the open source community

This one is not only the best on this page, but is actually good with announcement of - Llama Guard 4, LlamaFirewall, and Llama Prompt Guard 2

4. Meet the Llama Impact Grant recipients

Sorry but neither the gross amount $1.5 million USD, nor the average $150K/recipients is anything significant at Facebook scale.

Meta needs to stop open-washing their product. It simply is not open-source. The license for their precompiled binary blob (ie model) should not be considered open-source, and the source code (ie training process / data) isn’t available.

I had higher expectations of this. I was hoping they would release an Omni type model that could handle voice input and output voice. Oh well.

Anyone manage to sign up for the waitlist? I just get a redirect loop back to the login when requesting access.

"Open source" greenwashing. Still no training data in sight.

Unlucky timing for meta...

Was there a ball pit

did I read well that they have a gated 3.3 8b?

Lmao why are they doing LlamaCon, a convention with a subpar product?

Meh

There is a potential world where Meta uses AI as a vector to tap into the home.

Like, literally building smart homes.

Locally intelligent in ways that enable truly magical smart home experiences while preserving privacy and building trust.

But connected in ways that facilitate pseudo-social interactions, entertainment, and commerce.

Meta's biggest competitors are Apple and Amazon. This is the first clear opportunity they've had to leapfrog both.

Meta announced several key updates to enhance building with Llama and strengthen the open-source ecosystem:

1. Llama API Preview: Launched a limited preview of the Llama API, a developer platform simplifying Llama application development with easy API key creation, playgrounds, SDKs, and tools for fine-tuning and evaluation. It emphasizes model portability and privacy.

2. Fast Inference Collaborations: Announced collaborations with Cerebras and Groq to offer developers access to faster Llama model inference speeds via the Llama API.

3. Expanded Llama Stack Integrations: Revealed new and expanded Llama Stack integrations with partners like NVIDIA, IBM, Red Hat, and Dell Technologies to make deploying Llama applications easier for enterprises.

4. New Llama Protection Tools & Program: Released new open-source security tools including Llama Guard 4, LlamaFirewall, and Llama Prompt Guard 2, updated CyberSecEval 4, and announced the Llama Defenders Program for partners to help evaluate system security.

5. Llama Impact Grant Recipients: Announced the 10 international recipients of the second Llama Impact Grants, awarding over $1.5 million USD to support projects using Llama for transformative change.

Overall, the announcements emphasize making Llama more accessible, easier to build with, faster, more secure, and supporting its diverse open-source community.