Meta's AI updates: the Llama open-source model series, its superintelligence lab, and the AI bet beyond the metaverse.
News collected over the past year · Latest 3 entries · Collection time is used when the source has no publication date
After the Llama series, Meta has returned to the open-weight space with Muse Spark Open, calling it the strongest American open-weight model.
Why it matters: The article gives the parameter scale, context length, benchmark comparisons, and license terms, so readers can assess where this open-weight model actually stands in the open-model race.
Meta has released Muse Spark Open, an open-weight multimodal mixture-of-experts model with roughly 816B total parameters and about 42B activated per token. It supports text, image, audio and video inputs, offers a context window of up to 1M tokens, and was trained for agentic coding.
Why it matters: The official blog details the model's scale and architecture plus a full deployment path from llama.cpp to TRL fine-tuning, letting readers evaluate the cost of putting it into production.
Meta Superintelligence Labs released its second-generation model family, Muse Wonder (codename Watermelon) and Muse Wonder Full, scoring 52 and 56 respectively on the third-party Artificial Analysis Intelligence Index v4.3, a clear jump from Muse Spark 1.3's 48, just 6 weeks after the previous generation's release.
Why it matters: The article gathers third-party benchmarks, pricing, and early hands-on feedback for Meta's new model family, letting readers compare where it actually stands against competitors.
Meta released the frontier models Muse Wonder and Muse Wonder Full, which score 52 and 56 respectively on the Artificial Analysis Intelligence Index v4.3, up from 48 for the previous Muse Spark 1.3.
Why it matters: The benchmark data is fairly complete, letting readers compare Meta's new models with Claude, GPT, and Gemini on intelligence index, coding, and cost.
Meta Superintelligence Lab released Muse Wonder and Muse Wonder Full, Meta's first attempt at frontier models. According to Meta's model card testing, both models' benchmark scores are on par with Fable 5.1 and GPT-6 Astra.
Why it matters: The article gathers pricing, API availability, MemoryBench, and other key details, making it easy to compare Meta's first frontier models with competitors on the same footing.
Meta classified its AI data centers as "experimental models" and its Nvidia chips as experimental materials, using the federal R&D tax credit to save $3.9 billion in 2025, up from $2 billion the prior year and $700 million in 2023, making it the largest beneficiary of the credit among public companies.
Why it matters: The piece gives specific tax-savings figures over time and SEC risk disclosures, letting readers see how AI infrastructure investment is monetized through the 1981 R&D tax credit.
Meta today released Muse Glimmer, a 30B-parameter open-source multimodal model distilled from Muse under the Apache 2.0 license, aimed at privacy-focused local deployment and agentic uses like coding, document analysis, and personal assistance.
Why it matters: The article provides architecture details, agent benchmark comparisons, and day-0 usage across inference stacks, helping readers evaluate local multimodal deployment options.
At Advancing AI 2026 on July 23, AMD unveiled a full-stack AI and physical AI product portfolio, including its first rackscale solution, AMD Helios (72 Instinct MI455X GPUs plus 18 6th Gen EPYC "Venice" CPUs).
Why it matters: The official announcement consolidates Helios rack, MI400 series CPU/GPU spec figures, and major customer deployment plans, allowing readers to benchmark actual progress against competing solutions.
On May 19, Google announced an expansion of its content transparency and verification tools, covering Search, Gemini, Chrome, Pixel, and Cloud.
Why it matters: The original maps out how SynthID watermarking and C2PA Content Credentials verification are being extended across Search, Gemini, Chrome, and Pixel, along with rollout timing, to show where content provenance tools stand.