OpenAI president Greg Brockman revealed in an interview that the company is developing a family of devices for interacting with its AI models, but did not confirm specific rumors about a smart speaker or wearable. He emphasized the company's focus on its own innovation and predicted a shift to voice-based interaction.
OpenAI is developing a family of AI interaction devices, but no specific types or release dates confirmed.
Brockman downplayed the impact of Apple's lawsuit, focusing on OpenAI's own technology.
MandoCode Desktop is a native Windows AI coding assistant that runs on open-weight models via Ollama, entirely locally or with cloud options. It features multiple agents, split view, integrated terminal, Git-aware file explorer, context snapshots, and more, all free and private.
Runs locally on open-weight models via Ollama, no API key needed
Supports multiple agents in parallel with split view (up to 4)
AI companies are purchasing millions of secondhand books through intermediaries to source high-quality training data, then destroying the books after scanning. The practice has raised ethical concerns about the loss of rare books and the privatization of knowledge.
AI firms like Anthropic have bought and destroyed physical books for training data.
ISBNdb has pivoted to bulk book sales for AI companies.
Remote is an open-source, self-hosted platform that provides dedicated Linux workspaces for AI coding agents, enabling them to work together on the same project with persistent state, and accessible from any browser.
Remote provides dedicated Linux containers for AI coding agents
Multiple agents like Codex, Claude Code, and Kimi can work simultaneously
ProdLine CoPilot leverages the Databricks Data Intelligence Platform to read live production line state, routing queries to specialized agents (downtime analysis, quality, supply chain, schedule optimization, etc.) that invoke real solvers and deliver actionable recommendations within minutes. Human-in-the-loop approval ensures traceability and control, reducing OEE losses by enabling in-shift decisions instead of post-shift analysis.
Unifies PLC, SCADA, MES, ERP, and LIMS data into a single governed lakehouse with sub-second streaming via Zerobus Ingest.
Employs a roster of domain-specific agents (e.g., Downtime Analyst, Quality Specialist, Schedule Optimizer) calling real OR solvers, not just LLM wrappers.
Fraud and improper payments cost federal benefits programs hundreds of billions annually. Databricks applies its real-time fraud detection technology proven in banking and insurance, combining AI, real-time analytics, and cross-agency data sharing to score and block suspicious transactions without delaying legitimate aid. Over 80% of federal executive departments already use Databricks, and tools like OpenSharing and Clean Rooms enable secure fraud signal sharing.
Federal benefit fraud costs $233–$521 billion yearly; traditional "pay and chase" models are ineffective.
Databricks' layered system uses rules engines, machine learning, and generative AI to assess transactions in milliseconds.
A growing number of online platforms in China allow people to license their likeness for AI-generated content, paying between $15 and $700. Users can set prices based on face type and usage, and producers can browse catalogs by categories. The AI boom is disrupting the acting industry, but some see it as an additional income stream.
Chinese platforms pay individuals $15–$700 to rent their facial likeness for AI-generated content.
Users can choose which products or settings their faces appear in and set their own prices.
A growing number of writers are consciously avoiding AI-typical writing patterns—such as lists of three, passive voice, and em dashes—in favor of idiosyncrasy, first-person narratives, and intentional errors to assert human authorship. This anti-AI style is reshaping editorial practices and prompting a renewed appreciation for good writing.
Writers adopt anti-AI traits: avoiding lists of three, passive voice, and em dashes; embracing first-person and deliberate mistakes.
Publishing incidents (e.g., Hachette pulling a novel) heighten scrutiny on AI use.
AI shows promise in deciphering lost languages like Linear A and Etruscan, but faces fundamental limitations due to the lack of a 'anchor'—a known language family or bilingual text. While AI accelerates pattern matching, it cannot create meaning from nothing and still requires rigorous human review.
AI excels at large-scale pattern testing, rapidly verifying hypotheses and spotting sequences human eyes might miss.
Cross-lingual transfer allows AI to infer patterns in related unknown languages from known ones.
Learn how to block AI crawlers on your Mastodon server using nginx, based on a real experience of a server overload caused by aggressive web scraping. The article provides step-by-step instructions to integrate an AI crawler block list and update robots.txt.
AI crawlers can overwhelm small Mastodon servers, causing network issues.
Use an nginx include directive to block known AI crawlers from accessing your server.
Amazon Bedrock AgentCore Identity now supports Private Key JWT client authentication for agents, enabling authentication to identity providers using a signed JWT instead of a shared secret. The private key stays in AWS KMS, while the public key is registered with the identity provider. This article explains the workflow, supported grant flows (M2M, OBO, user-delegated), and provides a step-by-step guide for configuration, including creating a KMS signing key, registering the public key, and setting up a credential provider. Also includes example CloudTrail events for auditing.
Private Key JWT replaces shared secrets with signed JWTs for OAuth2 client authentication.
The private key is stored securely in AWS KMS and never leaves it.
Baseten launches a new platform for closed-weight model labs to distribute and monetize models, featuring production-grade inference infrastructure, model library distribution, IP protection, and go-to-market support. The platform already has 15 lab partners including Cartesia, Gradium, Inception, NVIDIA, and more.
Baseten for Model Labs provides closed-weight model labs with a turnkey solution for model distribution and monetization.
Includes production inference infrastructure, model library visibility, IP protection, and joint GTM support.