Viktor, an AI employee built for Slack and Microsoft Teams, slashes agent thread costs by 81.8% on Claude Opus 4.8 through a prompt caching architecture that drops a 40-step thread from $11.35 to just $2.07 by keeping prefixes byte-stable, treating threads as append-only logs, and timing cache compaction strategically around …
Google's Gemini AI surges to 950 million monthly users as Alphabet reports a massive 24% revenue jump to $119.8 billion in Q2 2026, signaling powerful momentum in the intensifying AI race.
Cisco launches Antares, a family of open-weight AI security models that detect vulnerable code locally without sending sensitive data to the cloud, outperforming larger models at a fraction of the cost.
ACP v2 draft releases with major breaking changes, overhauling session states to allow agents to send updates freely, introducing uniform message patching, redesigned file diff structures, and more flexible permissions — but implementers are warned to hold off on production deployment until the protocol is finalized.
Sentry and Warp have joined forces to give AI agents the power to detect, diagnose, and fix real code bugs in real time, combining Sentry's MCP server and AI debugging engine Seer with Warp's Agent Mode to analyze stack traces, logs, and codebases — then automatically implement fixes developers can …
A new Rust-based tokenizer called Gigatoken is shattering speed records, achieving 24.53 GB/s and running over 1,000x faster than HuggingFace's tokenizers by leveraging SIMD instructions and aggressive caching, with the ability to tokenize all of Common Crawl in just 6.5 hours.
OpenAI surges to 10 million users across its AI agent products Codex and ChatGPT Work, nearly doubling demand as the company races to outpace rival Anthropic in the booming AI agents market.
Google launches three new Gemini AI models — 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber — bringing improved efficiency, faster speeds, and a specialized cybersecurity tool exclusively available to governments and trusted partners to help defend against critical vulnerabilities.
Google launches three lightweight Gemini AI models and a new security agent called CodeMender designed to fix code vulnerabilities in products like Chrome and Android, even as its flagship Gemini 3.5 Pro faces delays due to performance issues and struggles to match rivals Anthropic and OpenAI in coding capabilities.
Google launches Gemini 3.6 Flash with 17% better token efficiency and lower API costs, while simultaneously unveiling a restricted cybersecurity AI model for governments and trusted partners, and confirming that next-generation Gemini 4 pre-training is already underway.