Meta's Muse Spark model brings reasoning capabilities to the Meta AI app
Following the icy reception to Llama 4, Meta is releasing the first in a new family of AI systems built by its recently formed Superintelligence team. The company is kicking off its new Muse era with Spark, a lightweight model geared toward consumer use. In the future, Meta plans to offer more capable versions of Muse, but for now, it's clear the company wants to nail the basics. To that point, many of Spark's capabilities are table stakes for a new model in 2026. For instance, it offers both "Instant" and "Thinking" modes. With the latter engaged, the model will take an extra few moments to reason through a prompt. Other consumer-facing AI systems have had this kind of flexibility for a while. Anthropic, for example, was one of the first AI labs to offer a & [...]
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Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation
Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large l [...]
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time
Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]
OpenAI deploys Cerebras chips for 15x faster code generation in first major move beyond Nvidia
OpenAI on Thursday launched GPT-5.3-Codex-Spark, a stripped-down coding model engineered for near-instantaneous response times, marking the company's first significant inference partnership outsi [...]
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
New training method boosts AI multimodal reasoning with smaller, smarter datasets
Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning.The framewo [...]
Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases
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Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several visio [...]