Research

SelfAssay is a platform that combines peer-reviewed studies, real-world reports, and a curated knowledge graph to provide evidence-based reasoning for biohackers, with cited sources and calibrated confidence.

A personal essay comparing AI to the printing press, arguing that AI did not invent token generation but made it radically more efficient. The author uses an aerodynamics analogy to explain how AI approximates intelligence through scaling, and predicts that AI may have a biological impact on the human brain similar to language.

Adaptive Recall is a memory system for AI assistants that learns from interactions, using multiple retrieval strategies, cognitive scoring, knowledge graphs, and self-improvement to provide persistent, evolving memory.

An AI arcade benchmark where coding models compete to create fun games under identical constraints.

Elsevier's Researcher of the Future report, surveying over 3,200 researchers across 113 countries, finds that only 45% have sufficient research time, while AI tool adoption surged from 37% to 58% since 2024. Chinese researchers show far greater confidence in AI than US and UK counterparts. Mobility intentions have declined, but interdisciplinary collaboration is rising.

This guide explains loop engineering, where AI agents autonomously iterate toward a goal using a verifier, state, and stop condition. It details Andrej Karpathy's autoresearch loop and Bilevel Autoresearch, showing concrete results: autoresearch found 20 improvements from 700 experiments, cutting GPT-2 training time by 11%; Bilevel Autoresearch added an outer meta-loop for a 5x larger val_bpb drop. It also provides reusable building blocks and a hands-on template.

OpenAI and Anthropic build ever-larger models, but companies like Microsoft are turning to smaller, specialized models for cost and efficiency. Microsoft's MAI family is replacing OpenAI models in its products.

Kote is an open-source tool that automatically captures developer conversations with AI assistants, Git commits, and development context, building a searchable knowledge base to help developers recall past technical decisions and solutions. It supports VS Code extension, GitHub integration, CLI, browser extension, WhatsApp/Telegram messaging, and self-hosted deployment.

This essay explores the critical role of 'useless' research in enabling future innovations. Using Folk Computer as a case study, the author traces a lineage from Xerox PARC to Dynamicland, and argues for funding paradigm-level work before it becomes useful.

Soulless is a community-driven project that exposes AI-generated artists on Spotify. It lists 232 detected AI artists with monthly listeners and estimated earnings. It also provides an open-source AI music detector and a curated landscape of AI music resources.

The author evaluated GPT-5.6 Sol, Fable 5, Grok 4.5, and other AI models on a benchmark called Basecamp Bench, testing their ability to build a frontend and backend from the same specification. Fable 5 won both tracks, while Grok 4.5 offered the best speed-cost tradeoff. Results show significant differences in polish and completeness, especially in the final 10% of work.

OpenAI's AI agent solved all five problems in the AtCoder Algorithm Division for 8,300 points; the top human scored 4,300. No human solved problems C or E. In the Heuristic Division, AI scored more than seven times the best human result. The 600,000-yen 'Humanity Prevails Award' went unclaimed. The system was described as comparable to GPT-5.6.

In a roundtable discussion, writers and cultural critics explore the profound implications of AI on language, creativity, and society. They note that AI both sharpens and dulls linguistic abilities, and may clarify the boundary between machine and soul. Despite anxieties, AI offers opportunities in research, accessibility, and diagnostics.

Researchers have compiled a database of over 3,000 bank runs from 1863-1934, revealing that most runs did not lead to failure, and analyzing geographic and temporal patterns.

AgentMint.net is a research publication that helps merchants understand and optimize for how AI shopping agents select products. Every claim is sourced, and it offers tools like the Agentic Shopping Readiness check and Agent Selection signals database.

Tata Consultancy Services plans to build a team of up to 8,900 forward-deployed engineers and is hunting for AI acquisitions, betting artificial intelligence will create new business rather than undermine outsourcing. CEO K Krithivasan dismisses concerns that AI will disrupt the outsourcing model. AI revenue growth slowed to 13% in the first quarter from 28% in the previous quarter. TCS spends about $1 billion annually on talent development and making AI accessible.

SlimeBallBench is a new benchmark that tests AI models in the game of slime soccer, evaluating their decision-making and strategic capabilities.

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.