The top stories in the fields you follow, at 08:00 your time.
A guide to pricing AI agent seats when usage varies wildly, covering hybrid seat-plus-consumption models from Intercom, OpenAI, and Anthropic.
Read moreAs streaming video generation advances, enabling real-time interaction with generated video is becoming increasingly important. We introduce StreamEval, a unified benchmark for interactive streaming video generation spanning five tasks: avatar dialogue, avatar performance,…
Spark-X2.6-4B retains exactly the same architecture as Spark-X2.5-4B, achieving its capability gains through improved post-training. It delivers substantial improvements in coding, agent, long-context, multilingual, reasoning, etc. These advances enable more capable and…
Uncensored release · Native FP8 (e4m3) + FP4 experts · 40-layer MoE · 1M context · Vision + video · Reasoning tiers · Tools
MiniMax-M3.1-Flash is a native multimodal mixture-of-experts model for coding, agentic workflows, computer use, and cybersecurity. It supports text, image, and video inputs with a context window of up to 1M tokens.
Good morning! This is Kinu.Thank you for coming to visit! 😊✨The evolution of AI agents has been incredible lately.I am just amazed by the daily progress.Today, since Meta's new AI agent 'Muse' became available in Japan on October 23,
Read moreHarvard legal scholar Martha Minow delivered the Karl Taylor Compton Lecture at MIT, arguing that AI threatens democratic foundations but could be redesigned to strengthen critical thinking, reliable information, and civic trust.
Read moreMuse Spark vs ChatGPT vs Claude vs Gemini compared on the October 2026 benchmark boards, API prices and Mac access, plus one prompt run on all four models.
Read moreUS bans DeepSeek AI across federal civilian tech — but third-party implementations pose a major tracking challenge
Read moreAI integration is introducing corporate finance departments to a disturbing new lexicon. CFOs, cloud cost managers, and others charged with overseeing
Read moreAI semiconductor revenue reached $16.7 billion, up 221% from a year earlier and 54% from the previous quarter. Broadcom expects AI semiconductor revenue to reach $21.7 billion in the fourth quarter, up 236% year-over-year, due to strong demand for custom AI accelerators and networking.
Read moreAgentic capabilities are increasingly important for modern LLMs, yet remain difficult to evaluate during pretraining. Existing approaches typically rely on static trajectory-derived tasks or likelihood-based proxies, which are lightweight but provide limited visibility into how…
MLLM-based detectors formulate vision-language grounding as autoregressive coordinate generation, yet in dense scenes, they often collapse into a box repetition loop, repeatedly emitting identical boxes until the decoding budget is exhausted. We trace this failure to…
Iterative sampling in diffusion models can lead to error accumulation due to exposure bias. The denoiser is trained on real images interpolated with noise, but at inference its inputs are constructed from its own imperfect predictions from the earlier steps, something it has…
