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Kimi K3's Cyber Gap Feeds the Anthropic Theft Theory

Kimi K3's Cyber Gap Feeds the Anthropic Theft Theory

UK AISI and US CAISI found Kimi K3 scores 32.2% on an exploit-development benchmark against 76.2% for top US models, a gap that complicates both White House alarm and its own distillation accusation against Moonshot.

A Memory Shortage Triggered $950B in AI Deals

A Memory Shortage Triggered $950B in AI Deals

Nvidia, SK Group, Samsung and Broadcom signed close to a trillion dollars in AI chip and memory deals in San Francisco, and the memory shortage behind them means someone outside the room ends up paying.

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Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite

Google DeepMind's cheapest paid Gemini tier prices input at $0.30/M and output at $2.50/M tokens, more than doubling OSWorld-Verified and Terminal-Bench 2.1 scores over Gemini 3.1 Flash-Lite while trailing GPT-5.4 mini on raw coding benchmarks.

POCKET-35B

POCKET-35B

VIDRAFT quantizes its Darwin-36B-Opus MoE model into a 35B GGUF that runs on stock llama.cpp with no GPU, trading GPQA Diamond score for CPU and phone portability.

Claude Opus 5

Claude Opus 5

Anthropic's July 2026 release prices near-Fable-5 coding and agentic performance at Opus 4.8 rates, doubling Frontier-Bench scores and landing within 0.5 points of Fable 5 on CursorBench at half the cost.

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How to Actually Secure OpenClaw: A Step-by-Step Hardening Guide

How to Actually Secure OpenClaw: A Step-by-Step Hardening Guide

OpenClaw ships with authentication disabled and binds to all interfaces. This step-by-step guide covers every hardening measure you need - from authentication and sandboxing to MCP security and network isolation - backed by real CVEs and security research.

Claude Opus 4.6

Claude Opus 4.6

Anthropic's flagship model leads on agentic coding, enterprise knowledge work, and long-context retrieval with a 1M-token window, 128K output, and agent teams at $5/$25 per million tokens.

GPT-5.3 Codex

GPT-5.3 Codex

OpenAI's most capable agentic coding model combines frontier code generation with GPT-5-class reasoning, 400K context, and a 77.3% Terminal-Bench 2.0 score.

Gemini 3.1 Pro

Gemini 3.1 Pro

Google DeepMind's Gemini 3.1 Pro leads on 13 of 16 benchmarks with 77.1% ARC-AGI-2, 94.3% GPQA Diamond, and a 1M-token context window at $2/M input.