Destination
Inception launches Mercury 2, the first diffusion-based language reasoning model

Mercury 2 from Inception is the first diffusion-based reasoning model. Instead of generating text word by word, it refines entire passages in parallel, making it more than five times faster than conventional language models.<br /> The article Inception launches Mercury 2, the first diffusion-based language reasoning model appeared first on The Decoder. [...]

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venturebeat
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 [...]

Match Score: 185.60

Destination
Inception Labs introduces its Mercury Series of diffusion-based LLMs

Inception Labs has introduced Mercury, a new series of large language models that use diffusion technology rather than traditional autoregressive processing. The company reports these models can proce [...]

Match Score: 146.44

venturebeat
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 [...]

Match Score: 105.54

venturebeat
NYU’s new AI architecture makes high-quality image generation faster and cheaper

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with Represent [...]

Match Score: 99.64

venturebeat
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 [...]

Match Score: 89.74

venturebeat
Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a [...]

Match Score: 84.00

venturebeat
Luma AI launches Uni-1, a model that outscores Google and OpenAI while costing up to 30 percent less

The AI image generation market has had an uncontested leader for months. Google's Nano Banana family of models has set the standard for quality, speed, and commercial adoption, while competitors [...]

Match Score: 83.30

venturebeat
Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up dynam [...]

Match Score: 81.12

venturebeat
Researchers say they trained a foundation model from scratch for about $1,500

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute- [...]

Match Score: 77.11