Meta is reportedly in talks to acquire South Korean chip startup FuriosaAI, with an announcement possible as soon as this month. FuriosaAI builds chips that speed up model serving, including text models like Llama 3. The move highlights Meta's push to cut reliance on Nvidia as its AI budget climbs to $65 billion this year.
Mark Zuckerberg just bet Meta's future on open-source AI, turning the Llama model series into the backbone of its apps and smart glasses. After the metaverse slump, downloads topped 600 million, though investors are still waiting to see how billions in computing spend will pay off.
Meta just made an exception to its military ban, allowing U.S. defense and national security agencies to use its Llama models. Partners like Lockheed Martin and Oracle are already tapping the AI for code generation and aircraft maintenance. Meta is also extending access to government partners in the U.K., Canada, Australia, and New Zealand.
Snowflake just launched Arctic LLM, an enterprise-focused open model licensed under Apache 2.0 for research and commercial use. Using a 480B-parameter MoE architecture that only activates 17B parameters at a time, it cost just $2 million to train and targets SQL generation and corporate coding workloads. Snowflake claims it outperforms rivals like Databricks’ DBRX on database tasks.
Mark Zuckerberg just confirmed that Meta is actively training Llama 3, aiming for state-of-the-art coding and reasoning capabilities to pursue AGI. To power the push, Meta is stockpiling over 340,000 Nvidia H100 GPUs by the end of 2024, building a computing fortress that rivals almost any competitor in the industry.
You.com just rolled out a set of APIs designed to give any large language model real-time access to the open web. Rather than short click-focused snippets from Bing or Google, it provides long-snippet indexes and RAG context starting at $100 per month. Anthropic, Cohere, and LlamaIndex have already integrated it.
Kai-Fu Lee’s new startup 01.AI just released Yi-34B, an open-source bilingual language model that surged to the top of Hugging Face's base LLM rankings ahead of Meta's LLaMA 2. The company recently hit a $1 billion valuation backed by Alibaba Cloud, with Lee noting they have stockpiled enough AI chips to last at least a year to fuel application development.
Brave just rolled out Leo, a native AI assistant for its desktop browser that puts user privacy front and center. Powered by Meta's Llama 2, the free tool can summarize webpages, answer questions, and translate text without requiring a login or saving chats for model training. Brave is also offering a $15 monthly tier to tap Anthropic's Claude Instant, with mobile apps coming soon.
Meta AI research head Joelle Pineau argues that traditional open-source licenses aren't built for models trained on vast amounts of web data and copyright risks. While critics slammed Meta's Llama 2 as not being truly open source due to usage caps, the Open Source Initiative agreed that legacy licenses fall short and confirmed it is drafting an AI-specific definition.
Meta's new Emu-powered sticker generator is already dodging its own guardrails. While direct sensitive prompts get blocked, simple synonyms and creative phrasing easily churn out kids with weapons, cartoon nudity, and graphic political caricatures. It is a stark reminder of how porous AI content moderation still is when rolled out to billions of users.
Meta CEO Mark Zuckerberg is kicking off Connect today, putting AI chatbots and the Quest 3 headset front and center. The new conversational tools aim to shore up user engagement across Facebook and Instagram amid fierce competition from TikTok. It marks Meta's clearest push yet to embed generative AI into its core social apps.
Mark Zuckerberg just laid out Meta's AI vision at a Senate forum, framing safety and access as the technology's two defining challenges. He defended open models like Llama 2 as crucial for American competitiveness and security, though Meta will rethink that stance if systems ever approach superintelligence.
Meta is developing a powerful new AI model designed to match OpenAI’s most capable system, according to a Wall Street Journal report. Expected to vastly outperform Llama 2, training is slated to start in early 2024 to help businesses build complex text generation and analysis tools. Meta has not commented.
NVIDIA just introduced TensorRT-LLM, an open-source library built to accelerate large language model inference on modern GPUs. It brings in-flight batching and FP8 quantization, delivering up to an 8x throughput boost on H100 GPUs and running Llama 2 4.6x faster than A100 systems. Why it matters: teams can now tap peak GPU parallelism via a modular Python API without writing low-level CUDA, slashing data center running costs.
Meta chief AI scientist Yann LeCun explains why he rejects the existential risk hype around AI, arguing that open sourcing models like Llama 2 is essential to prevent a small group of Silicon Valley engineers from controlling the future interface of the digital world. For LeCun, broader access and transparency beat corporate gatekeeping every time.
Meta is reportedly gearing up to train Llama 3 and Llama 4, with plans to bring Llama 3 up to GPT-4's performance while keeping it freely accessible under its open license. The detail surfaced from OpenAI researcher Jason Wei at a Meta event. If true, Meta is doubling down on commoditizing frontier models to rival closed labs.
Meta just dropped Code Llama, a specialized open-source coding model built on Llama 2 that scales up to 70B parameters. It handles code generation, debugging, and infilling across major languages, boasting a context window of up to 100k tokens. Why it matters: it gives developers a powerful, free alternative to proprietary coding assistants.
A deep-dive analysis argues that generative AI and foundation models are breaking the historical mediocrity spiral of legacy software. Unlike older systems crippled by long-tail accuracy costs and human-in-the-loop overhead, consumer hits like ChatGPT and Character.AI are unlocking unprecedented organic adoption. Why it matters: Startups finally have the growth velocity and defensibility to challenge entrenched incumbents rather than ending up as bespoke IT services.
Instagram is working on notices that flag when content was "created or edited with AI," according to app screenshots uncovered by a researcher. The move follows Meta's recent White House pledge to develop watermarking systems, suggesting the platform may proactively label synthetic images instead of relying purely on user disclosures.
The Open Source Initiative (OSI) just called out Meta for misusing the term "open source" with LLaMA 2. Because Meta restricts certain commercial uses and application areas, the license contradicts the Open Source Definition. OSI argues real open source gives developers full sovereignty, and plans to release a dedicated "Open Source AI" standard draft on October 17.
