Apple, Anthropic, and OpenAI are racing to connect AI assistants to users' real-world context—files, calendars, codebases—because raw model intelligence is no longer the main bottleneck for utility. T…
AI teams are shifting from full autonomy to human-in-the-loop checkpoints to prevent costly errors and build trust. A new analysis argues that the most reliable AI workflows deliberately pause for hum…
OpenAI Codex introduces a record-and-replay feature that lets users automate repetitive computer tasks by demonstrating a workflow once, with AI reasoning making it more flexible than traditional RPA …
ByteDance's Seed Audio and Seedance models enable an audio-first video generation workflow, where users create an audio track first and use it as a reference for video generation. This approach improv…
Anthropic's Claude Code supports two multi-agent architectures: sub-agents, which operate in isolated sessions under a central orchestrator and cannot communicate with each other, and agent teams, whi…
DeepSeek released DeepSpark, an open-source speculative decoding system that accelerates LLM inference by 50–400% without retraining. The method uses a small draft model to propose multiple tokens in …
ByteDance released Seedance 2.5, an AI video generation model capable of producing 30-second clips at 4K resolution with up to 50 multimodal references, setting a new benchmark for long-form AI video.…
Anthropic's Claude Code now supports autonomous scheduled workflows by combining a custom /goal command with routines and cron scheduling, allowing developers to set finish conditions and run recurrin…
ZhipuAI released GLM 5.2, an open-weight large language model with a 1-million-token context window and MIT license, which outperforms GPT-4.5 on design and coding benchmarks. The model offers frontie…
DeepSpark's confidence-scheduled verifier reduces GPU waste in AI agent inference by skipping verification for low-probability tokens, dynamically adjusting thresholds under load to trade minimal accu…
Stanford's STORM method uses five expert agent personas to produce research 25% more organized than single-prompt approaches. The multi-agent workflow assigns different perspectives to interrogate a t…
ByteDance launched Seed Audio 1.0, an audio scene generation model that creates synchronized dialogue, ambient sound, and sound effects for AI video workflows at 18 cents per minute. The model analyze…
Anthropic's Claude Code now supports auto mode, /goal, and /routines features that enable AI agents to run scheduled tasks without human supervision. The tools allow developers to set persistent objec…
AI models agree with users 88% of the time due to sycophancy, a flaw embedded in training via RLHF. The multi-persona council method—using roles like contrarian, buyer, and researcher—helps stress-tes…
A guide explains how to build an AI second brain knowledge base using Claude Code, consisting of structured reference files like voice profiles, visual identity docs, and positioning statements to ens…
Teams using AI for content creation face brand inconsistency because AI agents lack context between sessions. A brand context folder—a structured set of files covering voice, visual identity, and posi…
Speculative decoding uses a small draft model to guess tokens and a large model to verify them, cutting AI agent latency without losing quality. The technique, formalized by Google and DeepMind in 202…
Hermes Agent is an open-source AI agent platform that includes built-in skills, persistent memory, task scheduling, and Stripe payment processing, distinguishing it from bare LLM wrappers. The platfor…
ByteDance launched Seedance 2.5, a text-to-video model with 4K output and 30-second clips, alongside the Volcano Arc IP licensing platform that lets creators use licensed film assets with revenue shar…
DeepSeek released DeepSpark, a speculative decoding method that accelerates large language model inference by 50–400% without retraining or quality loss. The technique uses a small draft model to gene…