Anything unveils 'Skydive,' an AI teammate that moves across Slack, texts, and CLI
An omnichannel agent has emerged, claiming to skip neither models nor channels — unlike Grok Bot
A Chinese AI model developer. It stunned the world by building top-tier models at a fraction of the cost, and it releases its model weights in full. Its flagship model is DeepSeek-V4-Pro. Officially launched in August 2026, V4-Pro comes with a feature that lets users adjust reasoning intensity across three levels. That same month, OpenAI and Anthropic rolled out lower-priced new products, a move widely seen as a response to the wave of cheap Chinese models. Meanwhile, a jailbreak prompt originally made for Google's Gemma was reported in August 2026 to also work on DeepSeek V4 Flash, and around the same time, the DeepSeek-V4-Flash-0731 model was flagged for freezing during long-context tasks.
Current rank (1M)
13
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2026.08.17 – 2026.09.15 · High 6 · Low 14 · Now 13
An omnichannel agent has emerged, claiming to skip neither models nor channels — unlike Grok Bot
DeepReinforce team releases three sizes from 397B down to 9B, built on a self-improvement loop that generates its own tasks, scaffolds, and solutions — all figures are self-reported
In IBM Research's tests across 8 models, DeepSeek preferred full guideline sets while gpt-oss performed better with compressed versions
GPT-5.6 Luna cut 80%, Claude Opus 5 launches at half the price of top-tier model
Released via Expert Mode, V4-Pro edges out Opus-4.8 on Terminal Bench
NVIDIA's open-weight Nemotron 4 is said to reach 1 trillion parameters, but Kimi K3 and DeepSeek V4 are already bigger
Company opens official WeChat account and starts hiring for AI agent development
Matches Kimi-K3 and GLM-5.2 in agentic evaluations like Terminal Bench and HLE
$2 per million input tokens, $6 for output — cheaper than GPT-5.6 and Claude, but DeepSeek is cheaper still
$0.435 input, $0.87 output per million tokens with 1M-token context — cache hits cut costs sharply
A paper reportedly exposed 100% of the hidden chain-of-thought from closed APIs, reigniting the benchmark reliability debate
MAI Code 1.1 Flash improves on its predecessor but still trails the open-source DeepSeek V4 Flash