AI policy changes the boundaries for training, product launches, data use, and cross-border deployment. This hub tracks regulation, copyright, safety standards, export controls, public procurement, and industry rules so teams can anticipate compliance, market-access, and roadmap risk.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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
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 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.
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.
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.
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.
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.
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
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
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.
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.
Firewally is a free, user-friendly macOS app that monitors and controls app internet access in real time. It offers default policy settings, AI summaries, and per-app toggles to enhance device security.
Firewally is free and available on the Mac App Store.
It shows real-time traffic per app and allows setting default policy to pass, ask, or deny.
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.
Australian Prime Minister Anthony Albanese outlined his government's ambitions to regulate AI, but the challenge of controlling tech giants that often overpower national governments remains.
Albanese gave a speech at the University of Sydney on AI.
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.
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.
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.
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.
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.
New York Governor Kathy Hochul signed an executive order banning new hyperscaler data centers over 50 megawatts for one year, citing grid strain and rising electricity bills. The moratorium has public support but faces criticism over competitiveness.
New York is the first U.S. state to ban large AI data centers. The one-year moratorium applies to facilities using 50 MW or more.
Governor Hochul cites soaring electricity bills and grid capacity concerns as reasons for the ban.
A group of current and former Meta employees filed a lawsuit alleging that the company used artificial intelligence in its recent layoffs in a discriminatory manner, failing to account for approved absences.
Plaintiffs allege Meta's AI systems ignored protected leave status during layoff selections.
Meta denies claims, stating workforce decisions are made by humans, not AI.
LoopGain is an open-source library that uses control theory to intelligently stop AI agent loops when they converge, replacing the wasteful max_iterations approach. It measures loop gain in real time, achieving 92.8% less API spend and 15x speedup in benchmarks while preserving output quality.
LoopGain replaces fixed max_iterations with a control-theoretic stop-and-rollback policy.
Achieves 92.8% less API spend and 15x faster execution in benchmarks.
OpenAI's audit of SWE-Bench Pro reveals that approximately 30% of benchmark tasks are defective, questioning the validity of precise scores. The finding leads OpenAI to withdraw its recommendation of the benchmark and underscores the need for more reliable evaluation methods.
OpenAI audit finds ~30% of SWE-Bench Pro tasks are flawed
Precise scores can misrepresent model capabilities
A LessWrong analysis of ICML 2026 papers reveals that only a small fraction of ML research focuses on AI safety. Out of 999 papers, 954 were retrievable, with approximately 10 explicitly addressing safety topics such as alignment, robustness, and interpretability. Leading contributions come from academic institutions and industry labs.
954 out of 999 ICML 2026 papers were retrievable; 45 were missing due to title changes.
Only about 10 papers (~1%) explicitly focus on AI safety.
Based on a Google whitepaper on AI and the software lifecycle, this article highlights key insights: agents as model plus harness, context engineering as a cost lever, verification separating vibe coding from engineering, uneven phase compression, and the shift from prototype to production agents.
Agent = Model (10%) + Harness (90%); improving harness can drastically boost performance.
Context engineering distinguishes static vs dynamic context, affecting token costs.
Australian Prime Minister Anthony Albanese delivered a major speech at the University of Sydney, establishing an AI office and vowing to protect Australian creatives from copyright 'theft'. The move comes after months of calls from artists and activists to address the AI boom.
PM Albanese gave a speech on AI at the University of Sydney