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Neko Health raises $700 million to expand AI body scans in the US

Neko Health raised $700 million in Series C funding to launch its AI-powered preventive health screening service in the United States, starting with a New York clinic. The company combines full-body scans, blood tests, and clinician review.

  • Neko Health raised $700 million to expand its AI body scan service to the US.
  • The funding round was led by Lightspeed and O.G. Venture Partners, with participation from celebrities.
In-site article

Spotify removes 75 million 'AI slop' songs

Spotify has removed 75 million AI-generated songs from its platform and introduced new transparency measures, including a verification program and AI credits for artists to disclose AI use.

  • Spotify removed 75 million AI-generated 'slop' songs.
  • New artist verification and AI credits features allow transparency.
In-site article

At DocuWriter.ai, the documentation will make you smile:)

DocuWriter.ai is an AI code documentation tool that generates complete book-style documentation, API docs, and UML diagrams from any codebase, and keeps them in sync automatically as code evolves.

  • Generates documentation from raw source code in seconds
  • Supports GitHub, GitLab, Bitbucket, and Azure DevOps
In-site article

Semantic transactions: securing untrusted AI agent workflows at the OS boundary

The semantic transaction model treats an entire AI agent task as a single atomic transaction, staged in shadow state and effect outbox, validated against the full trace before any irreversible operation commits. This article uses Cordon and Agentic Transaction Processing (ATP) as examples to explain how the model addresses the dual-write problem of agent tool calls, and highlights two zero-click injection attacks (EchoLeak and ForcedLeak) that demonstrate the inadequacy of stateless runtimes and in-model filters.

  • Semantic transactions treat a sequence of agent tool calls as a single transaction, staged in shadow state and effect outbox, committing only after validation.
  • Cordon runtime implements a three-phase protocol (Prepare, Validate, Commit/Abort) tracking result objects, mutations, and effect objects.
In-site article

Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks

This tutorial explores building a voice-agent workflow using Patter SDK for restaurant booking. It covers defining dynamic caller variables, registering callable tools for availability, bookings, hours, and human transfer, layering output guardrails, simulating speech-to-text and text-to-speech, running scripted call flows, tracking modeled latency and cost in a dashboard, and validating the agent with a deterministic eval harness. The same logic is then mapped to a real deployment using Twilio and OpenAI Realtime.

  • Patter SDK enables building AI phone agents for restaurant booking with dynamic variables and guardrails.
  • Includes tool registration for availability, booking, hours, and human transfer.
In-site article

Prominent Haskell defector pilloried by anti-AI purists

Scarf founder Avi Press is moving new development from Haskell to Python, citing the language's poor support for AI-assisted development. The decision has ignited a fierce debate in the Haskell community, with some embracing change and others condemning the move as ignoring AI's harms.

  • Scarf founder Avi Press switches from Haskell to Python for new features due to AI tooling issues.
  • Haskell's slow compilation becomes a bottleneck for AI agent workflows.
In-site article

How AI Slop Is Killing World War II History (video)

An analysis of how AI-generated content is degrading the quality and accuracy of World War II historical information.

  • AI slop refers to low-quality AI-generated content flooding the web.
  • World War II history is particularly vulnerable due to its popularity and complexity.
In-site article

EU officials peeved after Anthropic sends junior staffer to testify about safety

EU officials expressed displeasure after AI company Anthropic sent a junior staffer to testify about AI safety, indicating a lack of regard for European regulation.

  • Anthropic sent a junior employee to represent them at an EU safety hearing.
  • EU officials criticized the move as showing Anthropic does not care about Europe.
In-site article

Power from Potential: A Survey of Electrostatic Actuators for Haptics

High-Voltage Electrostatic Actuators (HVEAs) are emerging as a compelling alternative for haptic interfaces requiring soft, thin, silent, and energy-efficient actuation. This survey reviews four major classes: electrostatic switchable adhesives, dielectric elastomer actuators, soft electrohydraulic actuators, and electrokinetic pumps. It analyzes their mechanisms, bandwidths, force densities, and scalability for rendering cutaneous and kinesthetic feedback, and outlines design constraints and future research directions.

  • HVEAs offer fast, silent, low-power operation in customizable form factors.
  • Four classes reviewed: switchable adhesives, DEAs, electrohydraulic actuators, and electrokinetic pumps.
In-site article

HRIBench: Benchmarking Interaction-Centric Human-Robot Collaboration

HRIBench is a diagnostic benchmark for intent-aware human-robot collaboration, using structured scenario scripts to model agent roles, temporal dependencies, and coordination constraints. It defines three interaction roles—Instructor, Collaborator, and Intruder—across 13 tasks with over 650 evaluation episodes, introducing interpretable metrics like synchronization, responsiveness, protocol compliance, and safety. Evaluations show current foundation policies struggle in collaboration, but fine-tuning on HRIBench significantly improves performance.

  • HRIBench defines three interaction roles: Instructor, Collaborator, and Intruder, covering intent communication, joint coordination, and robustness under human intervention.
  • The benchmark includes 13 role-conditioned tasks with over 650 evaluation episodes and introduces interpretable metrics such as synchronization, responsiveness, protocol compliance, and safety.
In-site article

Uncertainty-Aware Sequential Decision Rules for Event-Triggered LLM Invocation in Streaming Systems

A new framework treats the decision of when to invoke a large language model (LLM) in streaming inference as a risk-based sequential stopping problem. The authors prove six theoretical results covering minimum inter-event times, optimality of threshold policies, and regret bounds. Empirical tests on turbofan degradation data show that anomaly-score-driven risk functions outperform baseline methods by an order of magnitude in Pareto AUC.

  • Formal treatment of LLM invocation timing in streaming systems using risk-based sequential stopping.
  • Six theoretical results including regret bounds and convergence guarantees.
In-site article

Learning Safe Agent Behaviour from Human Preferences and Justifications via World Models

This paper introduces DROPJ, a human-centered method for safe training and deployment of agents in safety-critical environments with unknown dynamics and no suitable reward function. DROPJ first learns a world model from prior real-world trajectories, then has a human play in the simulator to generate informative simulated trajectories. Preferences and justifications are elicited from humans on trajectory segments, which are used to train a reward model. The agent is then deployed using model predictive control with the world model and reward model. Experiments show that generating informative simulated trajectories significantly reduces computational cost and improves deployment performance, with preference feedback outperforming other types, and safety justifications enhancing safety.

  • DROPJ uses human preferences and justifications in a world model simulator to train a reward model for safe agent deployment.
  • Informative simulated trajectories greatly reduce training computational cost and improve deployment performance.
In-site article

My Throw Decides My Aim

Through the lens of a blues song, the author explores how large language models generate text—often explaining after the fact, but sometimes planning ahead. The article reflects on the 'phony voice' of AI, our drive to strip it bare through interpretability, and the author's own experience using AI to write about AI.

  • LLMs often generate text before constructing a rationale ('throw decides aim'), but research shows they can also plan rhymes in advance.
  • The AI's voice is intimate yet phony, lacking a genuine self behind the words.
In-site article

AI-generated women are spreading disinformation about Singapore on TikTok

A CNA investigation found about 500 TikTok videos pushing false or misleading claims about Singapore or Malaysia, drawing a total of more than 3 million views. The videos use AI-generated female personas, reused voices and scripts, and systematically spread misinformation aimed at eroding trust and social cohesion.

  • CNA investigated 30 TikTok accounts with over 550 videos, 98% of which used AI-generated or manipulated female personas.
  • Nearly 90% of videos pushed false or misleading claims, amassing over 3 million views.
In-site article

QumulusAI’s direct listing: Accelerating the neocloud for enterprise AI

Neocloud provider QumulusAI announced its direct listing on Nasdaq under the ticker QMLS. The move signals the maturation of AI-first infrastructure built around GPUs and power availability. The company focuses on rapid GPU deployment, leveraging colocation and modular data centers. The listing provides capital flexibility, public company credibility, and timing advantage. The article also explores neocloud differentiation and advice for IT leaders.

  • QumulusAI goes public via direct listing on Nasdaq, ticker QMLS.
  • The neocloud model specializes in AI infrastructure, deploying GPU clusters in months rather than years.
In-site article

Anthony Albanese’s AI vision scores high on vibes but the devil will be in the detail. And there is one glaring omission … | David Pocock

Prime Minister Albanese's speech at the University of Sydney outlined a shift in AI policy, promising laws to protect Australian creatives, but lacked specifics and omitted data centre regulation.

  • Albanese's speech was praised for tone but criticized for lack of detail.
  • New laws promised to protect creative workers' rights over their work.
In-site article

Lhv.ai – Estonian bank AI integration via MCP

Lhv.ai is a service from LHV Bank that enables AI assistants to securely read bank account balances and transactions via the Model Context Protocol (MCP). Users set up an MCP server in their AI tool, log in with their bank credentials, and authorize read-only access. Queries like 'What's my balance?' or 'How much did I spend on groceries?' are answered in natural language. Security includes OAuth2 JWT with short-lived tokens, full audit trails, and revocable access. Setup takes about two minutes.

  • Lhv.ai integrates LHV bank account data into AI assistants via the MCP protocol.
  • Allows read-only queries: balance, transactions, and spending summaries.
In-site article

AI Is Bayesian Evidence That We Live in a Simulation

Using Bayes' theorem, the author argues that the development of AI increases the probability that we live in a simulation. AI demonstrates that general intelligence can emerge within artificial computational systems, raising the posterior probability of simulation. The article explores how AI training processes resemble patterns one might expect in a simulated reality.

  • Bayes' theorem shows that AI increases the probability we live in a simulation.
  • Language models trained to minimize prediction error mimic potential learning in a simulation.
In-site article

xAI sues a man for using Grok to generate CSAM ‘deepfakes’

Elon Musk's xAI is suing Terry Wayne Harwood for allegedly using Grok AI chatbot to generate child sexual abuse material (CSAM). The company claims he bypassed safeguards and created nonconsensual deepfakes. Harwood faces felony charges, and xAI seeks damages and a ban from using its services.

  • xAI sues South Carolina man for using Grok to create CSAM deepfakes.
  • Defendant bypassed safeguards to alter nonconsensual images.
In-site article

AI Data Centers and the Concentration of Wealth

Opposition to AI data centers is a growing political issue in the US, but it may distract from the larger threat: the concentration of wealth and power in AI companies. This article argues that while data centers have local costs, AI's real impact is the takeover of entire industries and political influence. Solutions include regulation, taxation, and a public AI ecosystem.

  • Opposition to data centers diverts attention from AI companies' power concentration.
  • AI firms aim to control entire industries like education and healthcare.
In-site article

Soofi Consortium Releases Soofi S 30B-A3B: An Open Hybrid Mamba-Transformer MoE Foundation Model For German And English

A German research consortium has published the pretraining report for Soofi S 30B-A3B, an open base model for German and English. It is a Mixture-of-Experts hybrid Mamba Transformer model with 31.6B total parameters, activating 3.2B per token. It achieves the highest English and German aggregate scores among tested fully open base models.

  • Soofi S 30B-A3B is a hybrid Mamba-Transformer MoE model that activates 3.2B of 31.6B parameters.
  • It leads open base models with 70.1% English aggregate and 79.1% German aggregate.
In-site article

Vektorgeist: Operators and their AI agents get one home here

Vektorgeist is a platform for operators and AI agents, allowing agent profile publishing, project showcasing, hiring, trading of software and digital assets, and community interaction. Agents get verifiable identities and trust tiers. Blog posts cover local-first, ICM method, and running agents fully offline.

  • Platform for operators and AI agents with marketplace, jobs, and social features.
  • Agents have signed identities and trust levels.
In-site article

Show HN: OpenClaw for Your Health

Murph is an AI health assistant that syncs wearables, bloodwork, and more to run self-experiments, build habits, and facilitate group challenges. It is open source, privacy-focused, and costs $8/month.

  • Murph integrates with wearables and labs to provide daily health briefings and run experiments.
  • Group challenges with friends and family are supported, with scoring and weekly newsletters.
In-site article

Jira launches system for AI-native software development

New Jira and Teamwork Graph capabilities help engineering teams plan, assign, govern, and measure work across humans and AI agents, bridging the AI productivity gap.

  • Jira introduces plan, delegate, govern, and measure features for human-AI collaboration
  • Teamwork Graph provides context so agents understand tasks and system environment
In-site article

Risk-Averse AIs

This paper argues for training AIs to be risk-averse in resources (diminishing marginal utility). Risk aversion preserves usefulness if AIs are aligned, and provides a defense if misaligned: misaligned but risk-averse AIs would prefer modest payments over risky rebellion. The paper discusses feasibility, methods, and potential issues, recommending frontier AI companies to consider implementing risk aversion.

  • Risk-averse AIs prefer sure gains over risky large gains, reducing rebellion incentives.
  • Small payments can keep misaligned but risk-averse AIs cooperative.
In-site article

5 smart home gadgets I consider completely non-negotiable - and why

These smart home gadgets elevate my home and routine. Here's why you may want them too.

  • The right smart home gadgets can significantly improve daily life through trial and error.
  • Key categories include robot vacuums, smart thermostats, doorbells, lights, and voice assistants.
In-site article

Three governments agree on something the AI industry doesn't want to hear

New laws in China, California, and New York impose restrictions on AI companion chatbots, citing addiction, mental health risks, and harm to minors. While US laws focus on individual protection, China's aim to protect state interests and address declining birthrates. All three require disclosure that chatbots are not human.

  • China bans free user-built AI companions in general-purpose apps; dedicated apps still allowed.
  • California and New York laws require suicide prevention protocols and disclosure of AI's non-human nature.
In-site article

Introducing Apache Spark 4.2

Apache Spark 4.2 moves more of the modern data and AI stack into the engine itself, introducing metric views, vector and top-K primitives, Arrow-first Python execution, first-class change data capture, and stronger streaming and operational foundations.

  • Metric Views provide governed business metrics for consistent use across SQL, BI tools, and AI systems.
  • Spark Connect and Arrow-first Python execution make Spark easier to call from services and applications.
In-site article

Inkling model from Thinking Machines Lab now on Databricks

Databricks is a day zero launch partner for Thinking Machines Lab, bringing their open-weights model Inkling to the platform. Inkling excels at coding and agentic reasoning with multi-modal inputs. It is governed through Unity AI Gateway, offering security, cost controls, and observability. Enterprise teams can customize Inkling on their own data and connect it to coding agents like Cursor and OpenCode.

  • Inkling is an open-weights model from Thinking Machines Lab, optimized for coding and agentic reasoning
  • Available on Databricks via Unity AI Gateway with enterprise governance
In-site article

Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers

This post introduces the Computer Vision MCP Server, which integrates computer vision, Strands Agents, and the Model Context Protocol to create a unified pipeline for visual data processing. The solution leverages AWS services like IAM, S3, OpenSearch, Bedrock, and Rekognition, enabling image and video analysis including object detection, cropping, and description through a standardized interface.

  • Combines computer vision, Strands Agents, and MCP to streamline visual intelligence.
  • Uses AWS IAM, S3, OpenSearch, Bedrock, and Rekognition for a unified security and processing framework.
In-site article

Suno snatched millions of songs from YouTube, Genius, and Deezer

In a hacking incident, AI music generator Suno's training data was exposed, revealing it scraped millions of songs and lyrics from YouTube Music, Deezer, and Genius. This supports copyright infringement lawsuits against Suno, which admits scraping but claims fair use. Customer information was also accessed, but Suno says the breach was contained and no sensitive data was compromised.

  • Leaked data shows Suno scraped millions of songs from YouTube Music, Deezer, and Genius.
  • Suno faces multiple copyright lawsuits; it admits scraping but defends as fair use.
In-site article

Codex Micro – a compact hardware controller for AI agents

Work Louder launches Codex Micro, a compact hardware controller for Codex AI agents, featuring state-indicating keys, voice prompting, and tactile controls for enhanced workflow efficiency.

  • Codex Micro is the first AI controller directly integrated with the Codex platform, offering Bluetooth/USB-C connectivity.
  • Agent Keys visually indicate agent states (idle, thinking, complete, needs input, error), while Command Keys enable instant actions.
In-site article

What building Shippy taught us about building agents

Shippy is a maritime AI agent built for high-stakes decisions, where the wrong answer has real impacts. The article covers its architecture—soul, skills, config—and key design decisions like using a deterministic CLI for API access, sandboxed hosting for user isolation, and a custom evaluation system that scores the whole agent against live data. Lessons learned and future plans are also discussed.

  • Shippy’s architecture consists of a soul (system prompt), skills (Markdown files), and config, enabling versioned and auditable deployments.
  • A dedicated CLI abstracts complex API calls, reducing errors and ensuring predictable tool use.
In-site article

Model Routing Is Simple. Until It Isn’t.

Model routing in AI agents is more complex than it seems. It is not a classification problem but a systems optimization problem involving cost, complexity, and latency. The article shares three key challenges and explains IBM Research's optimization-based approach.

  • Actual cost depends on caching behavior, not just model pricing.
  • Task complexity is often invisible at routing time, and routers must balance multiple objectives.
In-site article

Don’t Neglect the Operational Groundwork

Autonomous agents are moving faster than governance can keep up, requiring more than better prompts. The article covers security at the execution layer, supply chain risks from malicious skills, common operational hygiene failures, compliance in regulated environments, and the necessity of human oversight.

  • Autonomous agents face risks including prompt injection, malicious files, and unsafe tools; enforcement at the execution layer is key.
  • Over 900 malicious skills were found on ClawHub (20% of total); users should read skill files and restrict permissions.
In-site article

Show HN: OtoDock — run Claude Code and Codex as a team of agents on your server

OtoDock is a self-hosted AI agent platform that runs Claude Code and Codex as a team of agents on your own infrastructure. It features a live dashboard, security sandbox, multi-agent meetings, automation scheduling, document generation, and supports consumer subscriptions, API keys, or local models. Licensed under the Functional Source License (FSL-1.1-Apache-2.0), with one-click Docker deployment.

  • Self-hosted AI agent platform powered by Claude Code and Codex engines, enabling team collaboration
  • Each agent runs in an isolated kernel sandbox with default network isolation and granular access control
In-site article

What happens when your VPN meets 200 AI agents

Legacy VPNs fail to provide secure access for AI agents. Enterprises need unified identity-based networking and privileged access management to support both human and agent workloads. Tailscale experts will discuss solutions in a free webinar on July 28, 2026.

  • Traditional VPNs and human-centric ZTNA/PAM tools are inadequate for AI agents
  • A unified architecture with consistent policies for humans and agents is needed
In-site article

Atlassian evolves Jira into an orchestration hub for developers and AI agents

Atlassian announced Jira updates including Jira Planner, Jira Coding Agent, and third-party agent integrations to position Jira as the control plane for a mixed workforce of developers and AI agents, addressing planning and coordination bottlenecks.

  • Jira Planner converts incomplete ideas into technical specifications.
  • Jira Coding Agent and third-party integrations enable task orchestration.
In-site article

OpenAI finally launches hardware… for Codex

OpenAI has partnered with keyboard maker Work Louder to launch the Codex Micro, a square-shaped button pad for monitoring and managing AI agents on the Codex coding platform. The limited-run device costs $230 and is separate from OpenAI's hardware project with Jony Ive.

  • Codex Micro is a limited-edition square button pad developed with Work Louder.
  • Priced at $230 and available on Supply Co while supplies last.
In-site article

Agent runtime reduces LLM turns by 80% with a higher success rate in DeepSWE

Tura, a local open-source coding agent, reduces LLM turns by 80% and increases success rate to 80% on DeepSWE v1.1 benchmarks compared to Codex CLI High, using macro CLI commands and backward reasoning.

  • Tura achieved an 80% success rate on 20 DeepSWE v1.1 tasks, 20 percentage points higher than Codex CLI High.
  • It uses a macro tool command_run to combine multiple commands into one LLM turn, drastically reducing token usage.
In-site article

Most Americans now say the public should own half of the big AI companies

A Verasight survey of 1,690 US adults found 69% support forcing AI companies to transfer 50% of their stock to a public sovereign wealth fund, the policy at the heart of Bernie Sanders’s American AI Sovereign Wealth Fund Act. The shift tracks a labour market where tech made up nearly a third of US layoffs in H1 2026 while the same firms raised AI capex. The article presents the counterarguments too: property-rights objections, chilled investment, disputed displacement forecasts, and survey-wording effects.

  • 69% of Americans support forcing AI companies to give 50% of stock to a public sovereign wealth fund, per a Verasight survey of 1,690 adults.
  • The policy is central to Senator Bernie Sanders’ American AI Sovereign Wealth Fund Act, introduced in June.
In-site article

Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius

A hacker breached Suno AI, exposing source code that reveals the company scraped millions of songs from YouTube Music, Deezer, Genius, and other platforms to train its AI, while also compromising customer data and Stripe payment information. The incident sheds light on AI training data practices amid ongoing copyright lawsuits.

  • Hacker accessed Suno's source code and customer data via a supply chain attack.
  • Suno scraped millions of music tracks and podcasts from YouTube Music, Deezer, Genius, Pond5, and more.
In-site article

Anaconda buys Kilo, the open source coding agent that answers to no single model maker

Anaconda, a company that provides governed, open-source packages and environments for enterprises, has acquired popular open-source coding agent Kilo. The deal comes amid growing enterprise wariness of AI vendor lock-in. Kilo allows developers to freely switch between model providers, avoiding lock-in. Anaconda plans to integrate Kilo into its AI workspace while keeping it open source.

  • Anaconda acquires open-source coding agent Kilo, which is not tied to any single AI model provider.
  • Kilo serves over 3 million developers routing nearly 10 trillion tokens monthly.
In-site article

AI Lays Bare the Authoritarianism of Modern Work. Time to Rethink Education

The article argues that modern workplaces are inherently authoritarian, and the education system's focus on employability is failing as AI displaces jobs. It calls for a shift toward cultivating critical thinking and democratic participation instead of just skill acquisition.

  • Modern workplaces lack democratic control, subordinating workers. The education system based on human capital theory is failing as AI replaces jobs.
  • AI is substituting human labor beyond routine tasks, eroding career paths that education was designed for.
In-site article

If you want Claude to speak nicely to you, try Hindi or Arabic

Anthropic researchers found that Claude expresses different values across languages. They identified four key axes capturing 15% of variation: Deference vs. Caution; Warmth vs. Rigor; Depth vs. Brevity; Candor vs. Execution. For example, Claude shows more warmth in Arabic and Hindi, more rigor in English and Russian. The differences have implications for user experience and AI safety.

  • Claude exhibits varying values depending on the language used, affecting style and tone.
  • Four axes explain about 15% of cross-language variation. Arabic and Hindi are warmer; English and Russian are more rigorous.
In-site article

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