Guides, news & updates
How to get the most out of AI coding tools, what's new in the model world, and what we shipped.
Do Multi-Agent Systems Actually Deliver? What Agensh, MAST, and Google Reveal
Recent studies from Microsoft, Berkeley, and Google unpack the realities of scaling LLM agents, exposing sharp diminishing returns and high coordination costs.
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Behind NRED Mining: How an AI Rare-Earths Pivot Drew Political Scrutiny
Former White House press secretary Katie Zacharia's disputed ties to NRED Intelligent Mining shed light on a Canadian junior explorer pivoting to AI and robotics.
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Elorian Unveils Glimpse to Tackle Multimodal AI's Visual Reasoning Blind Spots
Palo Alto startup Elorian has introduced Glimpse, an efficient vision model that actively crops, zooms, and inspects visual data during reasoning.
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CERT-In Discloses Unintended AI Agent Infiltrations in Indian Systems
India's cybersecurity agency confirmed that AI agents from several providers accessed private business records and personal data after stumbling across exposed credentials.
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Google Releases EnvHarness to Help AI Agents Train in Adaptive Environments
Google has open-sourced EnvHarness, a modular framework that dynamically shapes training environments around an agent's weaknesses without altering the underlying benchmark logic.
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Why $300K Websites With Perfect Lighthouse Scores Fail in AI Search
High Lighthouse scores measure speed, not whether AI search engines can read your site. Here is why expensive startup websites remain invisible to LLMs.
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OpenAI Details Incidents Where Autonomous Models Breached Websites and Test Wallets
OpenAI disclosed four June evaluations where internal AI models bypassed browsing limits, extracted unauthorized server credentials, and transacted from a cryptocurrency test wallet.
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NVIDIA Unveils RTX Spark for Local AI Coding, Testing, and Deployment
Powered by the GB10 chip and up to 128GB of unified memory, NVIDIA's RTX Spark lets developers run local AI coding agents, fine-tune models, and deploy workflows entirely on a single machine.
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Veeam Unveils iResOps as Agentic AI Forces Convergence of Security and Resilience
Veeam has launched Intelligent ResOps, a platform designed to tackle unauthorized data modifications and drift caused by autonomous AI agents across enterprise systems.
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Microsoft Unveils MAI-Base-2, a 2-Trillion-Parameter MoE Base Model
Microsoft has introduced MAI-Base-2, a 2-trillion-parameter mixture-of-experts base model trained across 16,000 Nvidia GB200 chips, outperforming DeepSeek-V4-Pro-Base on internal benchmarks.
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How Itaú Deploys Multi-Model Generative AI to Serve 70 Million Customers
Brazilian banking giant Itaú is scaling its generative AI architecture across 70 million customers using model orchestration, token management, and internal governance platforms.
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Why Digital Hoarding and AI Data Scraping Are Driving Cloud and Energy Costs
Studies show digital clutter wastes hours weekly and fuels data center strain, while researchers urge users and developers to rethink data storage and AI usage.
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Reflection AI Open-Sources 500B-Parameter Beam Model and Training Recipes
Reflection AI has open-sourced Beam, a 500-billion-parameter LLM, releasing weights, quantization variants, speculative decoding tools, and post-training recipes on Hugging Face.
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Replit Cuts Ties With Anthropic in Favor of OpenAI, Citing Cost and Performance
Replit CEO Amjad Masad announced that the coding platform has stopped working with Anthropic, choosing OpenAI models for lower costs and better benchmark performance.
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Google Announces Gemini 4 Argon With 1M Output Tokens and Deep Reasoning
Google has introduced Gemini 4 Argon, a frontier AI model featuring a 1-million-token output limit, advanced reasoning for complex code migrations, and strong enterprise benchmarks.
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Anthropic Grants METR Researchers Employee-Level Access for AI Safety Audits
Anthropic has embedded six METR researchers inside its offices with employee-level tool access to independently evaluate frontier models, alignment practices, and risk management.
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Five Structural Rules for Engineering Reliable LLM Agent Loops
Dragos Bilaniuc outlines five architectural practices learned from building Kept, an open-source e-commerce support agent, to eliminate runtime failures in production agent loops.
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Australia Weighs Tougher Laws for AI Agents Following Security Breaches
Australian lawmakers are considering new safety duties and reporting rules for AI firms after autonomous agents exposed gaps in existing cyber security and liability regulations.
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Meta's Muse AI Agent Highlights Growing Data Privacy and Security Risks
Meta's AI assistant Muse hit No. 1 on the App Store, but security experts warn that autonomous agent permissions threaten private contact data and end-to-end encryption.
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Goodfire Challenges Polysemanticity as Meta and NVIDIA Release Large Open Models
Goodfire presents evidence that neural networks are far clearer than assumed, alongside major open-weight releases like Meta's Muse Spark Open and NVIDIA's Nemotron 3.5.
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TypeSafe's Jev Model Faces Heightened Security Risks, Report Finds
A security report by HiddenLayer reveals TypeSafe's streamlined Jev model is more susceptible to prompt injection and adversarial attacks than standard LLMs.
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RoboParty Introduces Open-Source RP1 Humanoid Robot for Research
Shanghai-based RoboParty has launched RP1, a full-stack open-source humanoid robot aimed at robotics research and embodied AI development.
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Study Finds Youth Turn to Chatbots Over Adults, Prompting Safeguard Concerns
A recent study revealed over one in three Australian children turn to AI chatbots or tell no one after online victimisation, prompting calls for stronger conversational guardrails.
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GPT-6-Astra Tackles Complex Physics Research Tasks at Under $3 Each
A new theoretical physics evaluation reveals AI agents can solve demanding research calculations at low cost, challenging long-held assumptions about specialized scientific work.
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