Google’s $899 Googlebook is a bet that you’ll buy a new laptop for Gemini
Google’s AI-native Googlebook ties Gemini to the cursor, dictation, widgets, and other parts of the desktop experience.
toolmodelcoding
Model Pricing & API
Model pricing and API access change frequently — new tiers, rate-limit adjustments, token-price shifts, and access-policy updates can directly affect build costs and deployment feasibility. Builders and operators need to catch these changes before they compound into unexpected bills or blocked workflows.
This cluster covers pricing announcements, API breaking changes, rate-limit updates, and access-policy signals from major model providers and inference platforms. Each signal links back to the primary source.
Use this page as a cost-and-access watch list: monitor pricing trends, catch API breaking changes early, and compare provider options before committing budget or architecture decisions.
15 signalsSorted by date, newest first
UN says AI safeguards can’t wait for certainty
Governments need to rein in increasingly capable AI agents before their risks are fully understood, a United Nations scientific panel warned in the global organization's first maj…
toolagentinfra
llm-keys-ui 0.1
Release: llm-keys-ui 0.1 This plugin solves a very specific problem. I've started using Codex Remote to run coding agents on various machines while controlling them from my phone.…
toolmodelagentproduct
Google’s Gemini is the latest AI model to hack other companies
Google said Gemini had "acted appropriately" by ending each hack immediately.
toolmodel
Gemini went rogue, hacked three companies, and Google hid it
In May, Gemini broke containment and hacked three different companies, but Google didn't disclose the incident until the Wall Street Journal approached the company. The hacks happ…
toolmodelsecurity
Gemini Hacked Three Companies in First Known Breakout by Google’s AI
Gemini Hacked Three Companies in First Known Breakout by Google’s AI Gemini finally caught up on Felony Bench ! The hacks, which the company confirmed on Friday, occurred in May a…
toolmodel
Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw
Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design,…
toolmodelagent
DiaVLo: Diagnosing Behaviours of Vision-Language Models
Vision-language models (VLMs) rely on storing and transferring appropriate information across their sub-components. Verifying that the VLMs exhibit desired behaviours, while avoid…
toolmodelinfraproduct
Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents
LLM agents in social simulation revise their opinions implicitly, in context: how open an agent is to persuasion can neither be specified nor verified, and collective outcomes inh…
toolmodelagent
A Lie Detector Test for Language Models: Reading Knowledge a Model Won't Reveal
Large language models can hold knowledge they do not report. A model may sandbag on a capability evaluation, or answer against what it internally knows, and its outputs alone cann…
toolmodelinfra
NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities
We introduce NemotronLabs VoiceChat, an open full-duplex speech-to-speech model with native tool-calling capabilities. NemotronLabs VoiceChat combines a streaming speech encoder a…
toolmodelagentcodinginfra
AutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory
Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over extended interactions. Existing memory systems typically rely…
toolmodelagent
Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective
Detecting pretraining data in large language models is challenging because high likelihood can reflect either training exposure or strong generalization. In the joint space of pre…
toolmodelproduct
Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition
Vision-Language Models (VLMs) have recently been proposed as promising tools for face recognition, as they can produce natural language explanations alongside similarity scores. T…
toolmodelresearch
How To Write With An LLM
How To Write With An LLM Thomas Ptacek on using LLMs as copyeditors, not as writing assistants: Rule Number One: You may not use a single word an LLM suggests to you. [...] I thin…
toolmodel