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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

Anthropic expands Claude voice mode to Opus and Sonnet models

Anthropic has expanded Claude's voice mode to run on its most powerful models, Opus and Sonnet, across mobile, desktop, and web platforms. Users can now switch between models mid-conversation, use voice commands in eleven languages, and connect to external tools like Gmail, Google Calendar, or Slack to compose and send emails by voice. The update positions Claude as a unique option for tool integration in voice AI, though competitors like OpenAI and Google offer more natural speech processing.

Jul 242 minNeura News
AI Models

Anthropic Launches First Mythos-Class AI Model Claude Fable 5

Anthropic has released Claude Fable 5, its most powerful widely available AI model and the first from the previously withheld Mythos class. The company claims new safeguards make the release safe by blocking responses in high-risk areas like cybersecurity and biology, falling back to the Claude Opus 4.8 model. Pricing is double that of Opus 4.8, at $10 per million input tokens and $50 per million output tokens.

Jun 93 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

ARC-AGI-3 Shows Three Reasoning Errors in GPT-5.5 and Opus 4.7

An analysis by the ARC Prize Foundation of 160 game runs on the ARC-AGI-3 benchmark reveals three systematic reasoning errors in OpenAI's GPT-5.5 and Anthropic's Opus 4.7. Both models score below 1 percent, with GPT-5.5 at 0.43 percent and Opus 4.7 at 0.18 percent. The errors include missing the big picture from local details, confusing new environments with training games, and failing to verify successful strategies.

May 24 minNeura News