Littlebird introduced an AI‑driven application that continuously reads computer screens and stores context as text, enabling users to query their digital activity without manual input. The free tool lets users customize app coverage, automatically excludes sensitive fields, and integrates with email and calendar services. It also offers a background notetaker that transcribes meetings and generates action items. Founded by Alap Shah, Naman Shah, and Alexander Green, the startup raised $11 million led by Lotus Studio. Paid plans start at $20 per month, adding higher usage limits and image‑generation features. Read more →

Gimlet Labs, founded by former Pixie co‑founders including Stanford adjunct professor Zain Asgar, announced an $80 million Series A led by Menlo Ventures. The startup’s “multi‑silicon inference cloud” software lets AI workloads run simultaneously across CPUs, GPUs, and high‑memory systems, promising 3‑to‑10× faster inference at the same cost and power. Partnerships with major chip makers such as NVIDIA, AMD, Intel, ARM, Cerebras and d‑Matrix support the platform, which targets large model labs and data‑center operators. The round brings total funding to $92 million and backs a team of 30 employees. Read more →

ChatGPT often delivers polished, confident responses that can give the impression of authority. However, this confidence may conceal the fact that the answer represents only one possible interpretation. Users can probe deeper by prompting the model with requests such as “convince me otherwise,” which reveals alternative perspectives, limitations, and scenarios where the initial conclusion may not hold. The article discusses how AI‑generated writing patterns influence perception, why certain stylistic cues signal machine involvement, and offers guidance for recognizing and mitigating AI‑style habits in human‑authored content. Read more →

Moxie Marlinspike, the creator of Signal and its encryption protocol, announced that his privacy‑focused AI platform, Confer, will incorporate its technology into Meta AI. The collaboration aims to provide end‑to‑end encryption for AI chat conversations, shielding user data from AI companies, hackers, subpoenas, and governments. Researchers praised the effort as an important step toward private AI chatbots, while noting that the solution is still evolving. The move could bring encrypted AI interactions to millions of users across Meta’s services. Read more →

A new prompting technique suggests inserting the phrase “extremely lazy person here” into a ChatGPT query to encourage shorter, more practical responses. The tweak nudges the model away from its default thoroughness, trimming excess detail, cutting disclaimers, and focusing on core instructions. Examples show the method producing streamlined guidance for tasks like cooking pasta and planning a workday. While the approach works well for everyday queries, it may omit nuance in topics that require depth. The finding highlights how minor prompt changes can shape AI tone, length, and personality. Read more →

Google announced that its Personal Intelligence feature, which lets the Gemini AI draw on data from Gmail, Google Photos and other services to deliver tailored responses, is now available to all users in the United States. Previously limited to paid subscribers, the feature is rolled out across AI Mode in Search, the Gemini app and Gemini in Chrome. Users can choose whether to enable the integration, and the feature is off by default. Personal Intelligence aims to simplify tasks such as finding past purchases, planning trips and receiving product recommendations by leveraging personal data without training directly on the user's entire inbox or photo library. Read more →

Encyclopedia Britannica has filed a lawsuit against OpenAI, alleging that the AI company infringed its copyright and trademark by using Britannica's protected content to train its models and by presenting verbatim excerpts in ChatGPT responses. The complaint also accuses OpenAI of attributing fabricated or "hallucinated" content to Britannica. OpenAI responded that its models are trained on publicly available data and operate under fair use. The case adds to a growing series of legal challenges faced by AI developers over the use of copyrighted material. Read more →