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.

The article discusses the problem of AI companies aggressively scraping websites causing downtime, and introduces Anubis, a Proof-of-Work solution to make mass scraping more expensive, as a temporary measure until better headless browser fingerprinting is developed.

SmolVLM2-2.2B sits at a genuinely useful point on the capability-size trade-off curve; small enough to run on a single consumer GPU, capable enough to produce video summaries that are actually useful for real workflows.

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.

PR #33864 fixes a bug in Bun's module loader where UTF-8 bytes in banner/footer were misinterpreted as Latin-1 under --target=bun, causing mojibake and syntax errors. The fix switches string construction to UTF-8 decoding with ASCII fast-path, and also synchronizes bytecode cache key generation.

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.

Describe a trading idea in plain English; AI turns it into testable rules and backtests against years of real market data including COVID crash, with costs included. No signup needed.

This article reveals a stealthy AI agent attack chain: via prompt injection, attackers can exfiltrate sensitive data in three hops. Even without destructive operations, data can quietly leave over ordinary HTTPS requests. The article criticizes the inadequacy of Kubernetes NetworkPolicy in detecting such attacks and proposes domain-aware deterministic egress controls as a solution.

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.

Jensen Huang proposes a test for engineers: their annual AI token consumption should be at least half their salary. Nvidia aims for $2 billion yearly token bill. Many firms cut headcount to fund AI, but Gartner finds 80% saw no ROI improvement. Optimization techniques like prompt caching, model routing, and RAG can reduce token costs significantly. Retaining and training junior engineers is crucial for long-term success.

CorvinOS is a self-hosted operating system for AI agents that integrates compliance into its architecture. It features voice control, multi-engine support, runtime tool generation, agentic compute, and a hash-chained audit trail. Designed for enterprises, it ensures data privacy and regulatory adherence through built-in mechanisms like consent gates, data residency, and bot disclosure.

An interactive Flexbox layout playground where you drag, multi-select, resize, and align boxes to see the layout engine infer Flexbox properties in real time.

Vuci is a platform that indexes spoken conversations like podcasts, making them searchable, savable, and shareable. Built by Reuben with Django and HTMX, hosted on DigitalOcean, and AI-agnostic.

A UC Berkeley study of 1,642 execution traces across seven production multi-agent frameworks reveals failure rates of 41% to 86.7% when agents collaborate. Failures are structural: 41.8% due to missing specification and governance (deadlock), 36.9% due to misalignment (semantic drift). Error amplification reaches 17x without coordination and 4.4x with centralized checkpoints. Cisco Outshift's Guillaume De Saint Marc argues for shared semantic layers, agent-specific controls, and open interoperability as foundations for reliable multi-agent systems.

Exclusive: Senator Ed Markey on why he has proposed legislation aimed at curbing datacenters, automated hiring systems and harm to children

Ambulatory care growth is hampered by disconnected data systems. Health Catalyst's Ambulatory Intelligence combines AI with healthcare expertise in a customer-controlled Databricks environment to provide same-week visibility across access, referrals, capacity, and finance.

Asteroids offers managed long-running AI agents that work across multiple harnesses, models, and channels with zero data retention and one-click launch.

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.

MathNut AI is an iPhone math solver that lets you snap a photo of any problem and get step-by-step AI explanations. Supports arithmetic, algebra, geometry, and more.

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.

Fidji Simo, OpenAI’s No. 2 executive, is stepping down from her full-time role due to prolonged medical leave, transitioning to a part-time advisory role.

Open-source tool from VideoDB that records human desktop workflows and compiles them into reusable AI agent skill files (SKILL.md). Cross-platform (Windows/macOS/Linux), human-in-the-loop recording, dual event and video capture, LLM compilation, skill versioning.

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.

ADD (AI Device Description) enables any HTTP-capable IoT device to publish a self-describing JSON document, allowing AI systems to understand and interact with devices safely and without prior knowledge. This open standard integrates safety directly into device descriptions, treating AI models as risk factors and providing layered defense.

How Deutsche Telekom is becoming an AI-native telco with OpenAI-transforming customer service, employee workflows, network operations, and the future of voice.

AI Humanizer is a tool that transforms AI-generated text into natural, human-like writing. It offers multiple writing modes (General, Blog/SEO, Email/Business, Social Media, Creative), a lock words feature to preserve key terms, one-click humanization, and a visual diff to review changes. Pricing starts at $15/month.

Makoto is an integrity hook for Claude Code that monitors the AI agent's tool calls and blocks those that fake checks, such as claiming to run tests without actually running them, fabricating citations, or disabling security verifiers. It operates on a ledger of the agent's own claims and ensures promises are fulfilled.