On July 16, 2026 at 7:38 PM PDT, AWS began displaying incorrect estimated billing data in the Billing and Cost Management Console; the root cause was incorrect unit pricing in the estimated billing computation subsystem. AWS paused estimated billing computations and recomputed estimates, expecting multi-hour recovery. ([blog.serverworks.co.jp](https://blog.serverworks.co.jp/aws-cost-billing-issue-
Recent DeepMind × Kaggle “cognitive abilities” benchmarks push beyond recall by scoring metacognition (monitoring + belief update) and inference-time learning (adapting inside a run). This post explains how uncertainty, calibration, abstention, and decision control reshape what it means for a model to “really” know.
A 1,900-year-old latrine at Hadrian’s Villa helped researchers study intact Roman concrete. The work points to carbonation forming calcite that seals cracks over centuries, supplementing the classic pozzolanic reaction and offering lessons for lower-carbon concrete today.
Kimi K3 is Moonshot AI’s open 2.8T-parameter multimodal model with a 1M-token context window. Built on KDA and Attention Residuals, plus stable MoE expert routing, it’s positioned as a frontier-capable open-weight system—especially for long-horizon coding and even GPU kernel/compiler workflows.
Kimi K3 is now available through the Kimi API as a reasoning-first, multimodal model with a 1M-token context window. This guide shows the OpenAI-SDK style integration, streaming behavior, strict JSON schema outputs, vision message formatting, and a correct tool-calling loop.
OnePlus said it will stop new product rollouts in Europe and North America, but stressed that existing devices will keep receiving update and security support. The bigger technical shift: eligible phones may be able to switch from OxygenOS to ColorOS 17, with a rollback back to OxygenOS.
Long before streaming made music instant, piracy ecosystems like Napster, LimeWire, and BitTorrent created a tactile kind of discovery. Torrents, trackers, and quality debates turned downloading into collecting—and the joy came from participation, not just access.
Inkling is a multimodal open-weights MoE model (975B total, 41B active) built for customization: up to 1M-token context, controllable thinking effort, and fine-tuning via Tinker (LoRA). The release also demonstrates a self-finetuning loop that defines an objective, trains, evaluates, and swaps weights.
Thinking Machines’ Inkling is an open-weights, multimodal MoE LLM with 975B total parameters and 41B active per token. It supports long context (up to 1M tokens), controllable thinking effort, and fine-tuning via Tinker.
A UK Biobank actigraphy study in *SLEEP* found that sleep regularity (consistency of sleep–wake timing) predicted all-cause mortality more strongly than sleep duration. In models that adjusted for many factors and included sleep duration, regularity remained a key signal for mortality risk.