Claude 3.5

As Chinese AI competitors like DeepSeek disrupt the market with ultra-low pricing, US tech giants OpenAI and Anthropic are forced into a strategic price war to maintain their dominance in the LLM API space.

A deep dive into the technical orchestration of Claude's /deep-research mode, exploring its Map-Reduce pipeline, adversarial verification, and software harness lineage.

Following OpenAI's lead, Anthropic is exploring custom silicon with Samsung to reduce reliance on NVIDIA and optimize Claude's performance.

Stop guessing your AI expenses. This guide compares Claude, GPT-5, and Gemini API costs using a specialized calculator, revealing a 230x price spread and optimization strategies.

Anthropic has committed to a massive $15 billion annual payment to SpaceX for access to the Colossus data centers, signaling a new era in the AI infrastructure arms race.

Recent reports suggest an unauthorized group may have gained access to Anthropic's internal cybersecurity tool, Mythos. This article explores the implications for AI safety and the security of LLM APIs.

As Anthropic's latest AI capabilities emerge, the industry faces a critical shift in cybersecurity strategy, moving from defensive perimeters to securing the AI-native data flow.

Anthropic recently initiated a massive DMCA takedown affecting thousands of GitHub repositories in an attempt to suppress leaked source code, an action the company later termed an accident.

The US Department of Defense has officially designated Anthropic as a supply-chain risk, a move that bars defense contractors from using Claude AI in government projects due to disputes over safety guardrails.

Anthropic is reportedly seeking a $20 billion funding round to fuel its aggressive AI development and infrastructure needs, coming just months after a massive $13 billion injection.

Anthropic is reportedly seeking $10 billion in new capital at a staggering $350 billion valuation, signaling a massive shift in the LLM market landscape.

A deep dive into using Claude 3.5 Sonnet to orchestrate the fine-tuning of open-source models like Llama 3, featuring implementation guides and performance benchmarks.