Research

From a small protest in Ireland to nationwide opposition in the US, the battle against AI data centers is escalating. This article traces the origins, current protests, political responses, and what lies ahead as communities push back against the environmental and economic impacts of massive data center buildouts.

The University of Chicago bans electronic devices in first-year law classes starting fall to combat AI reliance, while integrating responsible AI education into the curriculum.

Researchers from the Technical University of Denmark combined a generative AI model with a quantum computer to design novel peptides that bind to specific proteins, potentially accelerating vaccine development and personalized immunotherapies, especially for understudied populations.

A new study from AI detection platform Pangram reveals that 25% of long-form social media posts are fully AI-generated. LinkedIn leads with 41%, followed by X at 25%. The analysis covered over one million posts across platforms including Medium, Substack, and Reddit.

Software engineering, once a stable high-paying profession, is being disrupted by AI. Engineers are adapting by learning new skills, focusing on fundamentals, and organizing for protections. The industry faces layoffs, underemployment, and a shift from coding to reviewing AI-generated code.

A new benchmark reveals that 97 out of 108 measured positions across 18 AI models from 12 labs land left of center. The findings show a consistent progressive lean, with exceptions on economics, foreign policy, and religion. xAI's Grok models are closest to center, while many models refuse to answer certain questions, affecting their scores.

Nebula Security, using its AI tool VEGA, discovered a 15-year-old privilege escalation vulnerability (CVE-2026-43499) in the Linux kernel that allows any logged-in user to gain root access. The bug has been present in essentially every major distribution since 2011 and was fixed in April, but patch rollout is uneven.

Overplane is an open-source tool that converts Markdown specs into code using AI agents and SMT verification. Reviewer Dismissive Dan questions its necessity, noting many developers already have similar setups, but acknowledges its packaging and isolation design.

Thinking Machines Lab published "The Future Worth Building Is Human." The essay frames human participation, model ownership, and decentralized alignment as technical challenges. It ties them to interaction models and Tinker's LoRA fine-tuning, where teams train and keep their own model weights.

sqlite-utils 4.1 is the first dot-release since 4.0, introducing several minor new features including a --code option for insert/upsert to generate rows from inline Python code, a --type option to override column types for CSV/TSV imports, drop-index commands, and the ability to read SQL queries from standard input. It also adds support for toggling SQLite STRICT mode via table.transform().

Stanford Medicine researchers have developed an artificial intelligence platform that can predict cancer cell neighborhoods from microscopic slides containing slices of human tumor tissue.

The University of Chicago Law School announced a new policy banning phones and laptops for first-year students, sparking debate about AI in education. This article recalls the history of banning portable computers at Harvard Law School 45 years ago, highlighting the cycle of technological fear. The author shares personal experiences, emphasizing how tools change work processes, and questions the rationality of current policies.

An open, rigorous, living measurement of how much AI engines disagree on which B2B tools to trust per category. In the recorded sample, across 16 categories, all eight models named the same single best tool zero times, with a mean pairwise agreement of 44% and Fleiss' kappa of 0.41. The index is updated monthly and provides raw data for reproducibility.

Verdict is an open-source, browser-based tool for evaluating AI agent outputs. It enables human labeling, grounded theory error analysis, and validation of LLM judges against human labels, all locally without data leaving your machine.

This article compares three popular RAG evaluation frameworks: RAGAS, TruLens, and DeepEval. It explains why RAG needs dedicated evaluation, covers the three layers of evaluation (retrieval, generation, end-to-end), and details key retrieval metrics (Precision@K, Recall@K, MRR, NDCG). It then dives into RAGAS (LLM judge, no ground truth, synthetic test set generation) and TruLens (observability, RAG triad, dashboard), with brief mention of DeepEval, and provides guidance on choosing the right framework.

An educational lab of AI agent architectures built on LangChain and local Ollama, offering multiple agent variants for chat, tool calling, RAG, hybrid, and agentic RAG modes.

HoverSource is a developer tool that lets you get the source file path and line number of UI elements by hovering and pressing Alt+C. It integrates with AI agents to reduce steps by 73.9% and token consumption by 94.5%. Works with React, Next.js, Vue, and more out of the box.

Researchers have built a pull request that steals a repository's secrets by hiding the malicious instruction inside a PNG that AI code reviewers never open.

Kairos Engine is an end-to-end quantitative research platform for scalping signals in FX and metals markets. It uses a Hidden Markov Model for regime classification, an ensemble of time series foundation models for forecasting, and a strict walk-forward backtest against a broker cost model built from real measured spreads. The engine's value lies in rejecting bad strategies before real capital is risked.

In 2025, AI companies captured 65% of US venture capital, but most went to megadeals; small seed rounds shrank. The article analyzes seed round costs, success rates (about 1 in 6), and a decision framework for founders, along with fundraising strategies and alternatives.

AnyFile Translator is an AI-powered assistant for Google Chat that translates documents, web links, and messages while preserving original formatting. It supports over 100 languages, offers AI content writing, and ensures data privacy with encryption and deletion.

AI surveillance systems will soon track all public and private actions, enforce rules instantly, and create chilling effects that suppress dissent, creativity, and social progress. The article discusses examples from China and the US, the mechanisms of chilling effects, and calls for policy interventions.

Omar Yaghi, 2025 Nobel Prize in Chemistry winner, has left the US to lead an AI-driven research center at Tsinghua University in China, aiming to accelerate materials design and synthesis to address environmental challenges like water scarcity and carbon neutrality.

The article argues that traditional folder-based documentation is outdated for modern knowledge work. It compares documentation to a filing cabinet inherited from 1970s office metaphors, which forces knowledge into single locations. AI retrieval systems highlight the limitations of folders, advocating for connected knowledge graphs that allow discovery from multiple paths.

Ghost Font is an experimental anti-AI font that uses motion, noise, and decoys to make messages readable to humans but not to current AI models. Even advanced models like Claude Fable and GPT Sol 5.6 Ultra struggle to decode it, making it a potential tool for CAPTCHA and AI visual perception benchmarks.

AIUGCAds.net provides an AI-powered platform to generate realistic UGC-style video ads in minutes, eliminating the need for creators, filming, or editing. It serves ecommerce stores, dropshippers, DTC brands, agencies, and marketplace sellers, enabling ad creation from product links or images with AI actors, voiceovers, and product demos.

Krbn is a web engine for non-photorealistic, pencil-style rendering of 3D scenes to SVG. It derives strokes from geometry rather than rasterizing pixels, supporting exact silhouettes, hidden lines, hatching, and more. Written in TypeScript and MIT-licensed, it was developed with AI assistance.

This article discusses the important but often overlooked issues surrounding AI in academic peer review, citing Christian Bird's research on the topic.

The article describes millfolio's hybrid tag system for efficient local AI inference: deterministic string and reference tags cover most transactions, while on-device AI tags handle the fuzzy tail. Tags are computed once at index time and stored, avoiding re-inference at query time. Backfilling uses batching, deduplication, and a priority scheduler to avoid overloading the laptop. Performance data shows ~650ms per distinct description, with 8.5 rows/s effective speed. The system includes a preview mechanism for users to verify tags before saving.

Aicon Solutions is a product studio building AI-augmented thinking tools for decision-making under uncertainty. Their products include nodx, LaoMOS, and Still Employed?.

Learn how to select appropriate memory strategies for AI agents using a decision tree approach that classifies information into working, semantic, episodic, or procedural memory layers.

The article explores various AI tools designed for scientific research, such as Anthropic's Claude Science, Google DeepMind's Co-Scientist, and the open-source Biomni. These tools accelerate tasks like genome analysis, hypothesis generation, and experimental design. Scientists share their experiences and recommend trying multiple tools, starting with small tasks, and verifying outputs while maintaining caution.

The Ethereum Foundation's Protocol Security team used coordinated AI agents to find a remotely-triggerable panic in libp2p's gossipsub (CVE-2026-34219). The real challenge was not finding the bugs but triaging AI-generated candidates to separate genuine findings from confident-sounding noise, highlighting the importance of human judgment in security auditing.

Ploy migrated its AI agent from Claude Opus 4.8 to OpenAI's newly released GPT-5.6 Sol, achieving 2.2× faster builds, 27% lower cost, and improved visual scores. The migration involved solving issues with tool call argument filling, prompt caching differences, and reasoning replay, all of which were addressed through engineering optimizations.

Northwestern researchers developed a cerebellum-inspired memtransistor that consumes very little energy and detects novelties almost instantly. In tests, it identified abnormal heart rhythms within one-fifth of a heartbeat with over 98% accuracy, using 10,000 times fewer computer operations than conventional AI.

OpenWiki Brains turns sources like Gmail, Notion, Git, X, Hacker News, and web search into a local wiki that agents can use as fresh, proactive memory.

aeovim is a Rust TUI that multiplexes LLM coding agents with a Neovim-like interface, currently wrapping Claude Code and offering features like multi-chat sessions, streaming, and persistence.

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub Blog.

This article compares two leading AI models for web design—Opus 4.8 and GPT-5.6 Sol—based on the author's extensive experience. It emphasizes the importance of visual references over text prompts, details each model's strengths and weaknesses, and provides a practical workflow to achieve high-quality designs.

Despite being aware that AI-generated content is fake, older adults find emotional comfort and companionship in it. A study found that Chinese users aged 50-75 watch AI family member videos because they offer direct affection and filial piety lacking in real life.

Hister is a personal search engine that indexes web pages and files you care about via a browser extension and CLI tool. With MCP support, it allows AI assistants to search your private index for context-aware answers based on what you've already read. This article explains Hister's workings, practical workflows (like finding vaguely remembered articles, explaining code with indexed docs, generating research briefs), privacy controls, and how to get started.

The article critiques the "rights for robots" movement, arguing that it implicitly endorses the notion of AI as slaves. The author contends that the real appeal of AI is the fantasy of a world without people, only compliant "slaves." By hiding human workers behind the curtain, this narrative strengthens bosses' desire for absolute control. The piece contrasts the positive spillovers of extending rights to nature with the catastrophic effects of corporate personhood, warning that robot rights may lead to similar exploitation.

Because large language models are trained primarily on written text, lacking exposure to natural spoken conversation, their widespread use may lead humans to adopt AI's linguistic patterns, affecting communication styles, thinking habits, and potentially exacerbating cognitive biases and overconfidence.

This article describes how to use AI agents (based on LLMs) to discover, validate, and fix security vulnerabilities in stb libraries. The author designed a three-phase process: discovery (via web search, fuzzing, and static analysis), validation (through automated tests to confirm bugs), and patching. Across multiple stb libraries, 134 potential bugs were found, 115 validated as real vulnerabilities and fixed, with negligible performance impact in most cases.

Despite increased focus on software supply chain security, code packages with zero known vulnerabilities can still harbor hidden malware. RapidFort and ReversingLabs partner to offer deep-binary malware detection using neural networks, but experts caution that trust delegation does not eliminate risk entirely.

As your business grows, shared hosting may fall short. VPS hosting offers dedicated resources, better performance, and scalability. This article reviews the best VPS services, including Hostinger, Liquid Web, and more, along with latest industry news and FAQs.

Google Research, Google DeepMind, and university collaborators have introduced SensorFM, a foundation model for wearable health pretrained on over 1 trillion minutes of sensor data from 5 million participants. The ViT-1D masked-autoencoder backbone, trained on a massive corpus, demonstrates strong scaling behavior. With frozen embeddings and a PCA-50 linear probe, it outperforms feature-engineered baselines on 34 of 35 tasks. The paper also details an agentic classroom that searched 30,516 prediction heads and a clinician evaluation that grounds a Personal Health Agent.

The author reflects on the rapid advancement of AI technology by comparing childhood computers with today's B300 GPU system. He discusses the controversies surrounding LLMs, the differences between symbolic and statistical AI, the nature of intelligence, and the contrast between dreams and reality. The article also includes a discussion with a friend about determinism and memory.

The Ethereum Foundation's Protocol Security team shares insights on using coordinated AI agents to audit real protocol code. The focus is not on finding bugs, but on triaging the overwhelming number of candidates to identify true vulnerabilities. The post covers organization methods, validation criteria, and practices to ensure trustworthy results.

NEvo is a neural-guided evolutionary video synthesis method that uses AI to generate videos optimized for specific brain regions, aiming to induce maximal neural responses.