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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

19 articles
AI Models

Meta's Muse Image model draws praise and raises privacy questions

Meta released Muse Image, its first image generation model from the Superintelligence Labs. The model works as an agent, using external tools like web search to refine outputs. It ranks second behind OpenAI's GPT Image 2 on the Image Arena platform. A feature that lets users generate AI images of others by @-mentioning their Instagram usernames, without consent, is already drawing criticism from privacy regulators in Europe.

Jul 84 minNeura News
AI Models

Hassabis sees AI singularity soon; LeCun says LLMs not intelligent

At Google I/O 2026, DeepMind co-founder Demis Hassabis declared humanity is entering the singularity, predicting AGI within five years. Yann LeCun of AMI Labs countered that current language models lack true intelligence, which he defines as solving new problems without prior training. Gemini co-lead Oriol Vinyals offered a middle ground, acknowledging models are strong in code and math but still missing experiential learning.

May 243 minNeura News
AI Models

Deepseek makes 75% discount permanent, undercuts GPT-5.5 by 34x on output pricing

Deepseek has made its 75 percent discount on the flagship Deepseek V4 Pro model permanent, slashing output token prices to $0.87 per million versus $30 for GPT-5.5. The move intensifies the price war between Chinese and Western AI labs, with Deepseek offering output tokens at roughly 34.5 times less than OpenAI's top model. The permanent pricing, originally set to expire May 31, 2026, also undercuts Anthropic's Opus 4.7 by a similar margin on output tokens.

May 233 minNeura News
AI Models

NVIDIA Nemotron-Labs Diffusion Models Speed Up Text Generation

NVIDIA has released Nemotron-Labs Diffusion, a family of diffusion language models (DLM) that generate multiple tokens in parallel and iteratively refine them. Available in 3B, 8B, and 14B scales, the models support three inference modes: autoregressive, diffusion, and self-speculation. The 8B model achieves up to 6.4x higher tokens per forward pass compared to autoregressive models while improving average accuracy by 1.2% over Qwen3 8B.

May 234 minNeura News
Funding

Amp Raises $1.3 Billion for Shared AI Compute Pool

Amp, a startup in Menlo Park, California, has secured more than $1.3 billion to build a global pool of specialized computer chips for AI training. Founded by Anjney Midha, the company aims to provide access to computing power for startups, universities, and others excluded by tech giants like Amazon, Google, Anthropic, and OpenAI. Investors include Andreessen Horowitz and Y Combinator, with partners such as Periodic Labs and ElevenLabs joining the effort.

May 123 minNeura News