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Cloud meeting recorders from companies like Otter.ai and Fireflies.ai capture and process audio from all meeting participants, not just the user who activated the tool, raising significant privacy and legal concerns. Cla…
Researchers have developed Contrastive Decoding Diffing (CDD), a method that recovers verbatim facts from finetuned language models using only output-level logit distributions, without requiring access to model weights o…
Researchers have developed ThriftAttention, a mixed-precision attention algorithm that selectively computes only 5% of query-key blocks in FP16 precision while processing the remaining 95% in FP4, recovering 89.1% of the…
Weekly crypto code commits have fallen roughly 75% since early 2025, dropping from about 850,000 to 210,000, while active developers declined 56% to around 4,600, according to data from analytics platform Artemis. The co…
Espressif has launched two new development kits for its dual-core RISC-V ESP32-S31 chip, designed for advanced IoT and edge AI applications. The ESP32-S31-Function-CoreBoard-1 offers 16 MB of PSRAM, wired Ethernet, and a…
Google News Map, a project that scrapes Google News data to display headlines on a world map, has been relaunched by its creator after a 20-year hiatus. The original project led to the creator's hiring by Google in 2004,…
Artificial intelligence tools that replace human activity risk systematically deskilling people by creating "capacity-hostile environments" that undermine the development and exercise of human abilities. A new philosophi…
The University of Toronto's Computational Social Science Lab released and open-sourced Maia-3, a chess engine that predicts human moves rather than optimal ones, on Tuesday. The model achieves a 57.1% prediction accuracy…
The Model Context Protocol (MCP), an open standard for connecting AI assistants to external data and tools, has emerged as a key enabler of context engineering in software development. According to Zuplo's 2026 State of …
Researchers have developed Multi-Agent Residual In-Context Learning (MARICL), a framework that uses large language model agents to analyze where a base statistical model fails and generate explicit correction terms from …
Elon Musk, Mark Zuckerberg, and David Sacks killed a draft AI safety executive order from President Donald Trump in three phone calls over a Wednesday night and Thursday morning, preventing the order from ever reaching p…
The article explains that data engineering is shifting from complex distributed clusters to single-node processing, driven by modern hardware with many cores and large memory, as well as new tools like DuckDB and Polars …
At Google I/O 2026, Google DeepMind announced CodeMender, an autonomous code-security agent that uses a "reasoning model" to propose patches for vulnerabilities and a separate "critique agent" to rigorously validate thos…
This article summarizes three key topics from recent Reddit discussions: a practical guide for running Claude Code offline using a local LLM managed by Ollama, a user-driven workflow for orchestrating Claude's chat, cowo…
The FCoP (Filesystem Coordination Protocol) 3.0 whitepaper introduces a governance framework that externalizes AI agent behaviors into a persistent, filesystem-native layer to address the failures of transient runtime ar…
Apache Iceberg 1.11.0, released on May 19, 2026, introduces major structural changes to enhance security and file format flexibility. Key improvements include native encryption for manifest lists using the GCM stream cip…
At Google I/O 2026, Google announced WebMCP, a proposed open web standard that allows developers to annotate JavaScript functions and HTML forms so browser-based AI agents can call them as structured tools. This enables …
A study in *Nature Mental Health* found that different ADHD symptom trajectories in children—whether symptoms persist, fade, or emerge—are linked to distinct patterns of brain development during adolescence, specifically…
The article explains that tailoring a CV to each job posting is crucial because generic CVs are often filtered out by Applicant Tracking Systems (ATS) or ignored by recruiters who spend only seconds scanning. It clarifie…
The article explains that optimizing deep learning performance should be approached by identifying whether a system is bottlenecked by compute, memory bandwidth, or overhead, rather than relying on ad-hoc tricks. It argu…