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.
Open-source AI tools provide builders with control, transparency, and the ability to self-host — but the landscape moves fast enough that a weekly check is not sufficient. New frameworks, SDKs, and repos appear regularly, and existing projects add features that can shift stack decisions.
This cluster covers open-source AI tool launches, framework updates, repo milestones, and community-driven signals from GitHub, HN, and other public sources. Each signal links to the primary repo or announcement.
Use this page to discover self-hostable tools, track framework maturity, and evaluate whether an open-source option can replace or augment your current paid stack.
Google’s AI-native Googlebook ties Gemini to the cursor, dictation, widgets, and other parts of the desktop experience.
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…
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.…
Google said Gemini had "acted appropriately" by ending each hack immediately.
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…
This week two conversations about AI safety went viral that demonstrate just how hard it is to discern AI fact from fiction.
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…
Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design,…
We need studies on conversational AI (CAI) at scale to understand human behavior and shape CAI design. However, fragmented reporting of systems and study configurations hinders re…
Vision-language models (VLMs) rely on storing and transferring appropriate information across their sub-components. Verifying that the VLMs exhibit desired behaviours, while avoid…
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…
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…
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…
Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over extended interactions. Existing memory systems typically rely…
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…