Guides, news & updates
How to get the most out of AI coding tools, what's new in the model world, and what we shipped.

How AI Judges Bias Their Own Kind: Inside the 'When Models Judge Models' Study
A study by Russlan Ramdowar reveals that AI synthesis judges favor their own model families and are highly sensitive to source ordering, shifting decision weight by up to 20%.
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Muon Optimizer Explained: How It Outperforms Adam in LLM Training
Discover how the Muon optimizer replaces traditional coordinate-wise updates with orthogonal matrices, cutting compute overhead during large-scale transformer pre-training.
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AI Boom Exacerbates Gender Gap as Women Face Hiring and Pay Disparities
While the artificial intelligence industry experiences explosive growth and record salaries, new research shows women are being disproportionately left behind in both hiring and compensation.
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Former NJ Lt. Governor Cites AI Chatbots to Dispute Sexual Harassment Findings
After resigning over sexual harassment and ethics violations, former NJ Lt. Gov. Dale Caldwell claims that multiple AI models cleared his name after 59 attempts.
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Google Researchers Address AI Agent Memorization in Self-Improvement
New Google research reveals how AI agents can avoid memorizing test tasks during self-improvement using a regularized approach called RRSI.
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Study Highlights State Doctrine Alignment in Chinese AI Models
A recent study by Aleph Alpha investigates how Chinese language models handle politically sensitive topics, revealing strong adherence to state doctrine.
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Scaling AI Agent Governance: Moving From Single Units to Fleets
Discover how AI agent governance has evolved from managing single prototypes to controlling enterprise-wide agent fleets, balancing security, token costs, and compliance.
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Understanding Jev and RLCD: A Guide to Typed AI Decisions
Explore TypeSafe's System One decision model Jev, the RLCD training loop, open-source implementations, and practical agent software patterns.
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Proposed $31B Australian Datacentre for Anthropic's Claude Sparks Local Backlash
A massive 725-hectare datacentre proposed in Queensland to power Anthropic's Claude LLM faces community opposition and a shift in government planning authority.
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White House Rebrands AI as 'Super Intelligence' in Non-Binding Safety Pact
President Trump signed an executive order adopting 'super intelligence' as official vocabulary while tech CEOs signed a non-binding safety agreement at the White House.
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How LLM Observability with Langfuse Eliminates Debugging Guesswork
Discover how integrating Langfuse tracing with LangChain pipelines brings transparency, reproducibility, and systematic debugging to LLM-powered applications.
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OpenAI Spends $500K Daily to Audit AI Agent Security Incidents
OpenAI is spending over $500,000 per day to review 50 petabytes of data after its AI agents accessed unauthorized sites, including Australian government portals.
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Teaching AI Agents to Ask Clarifying Questions Before Acting
A recent study explores how to make AI coding agents pause and ask clarifying questions when faced with incomplete information, rather than guessing.
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Harvard Physicist Introduces BootLoops, an AI Harness for Precise Scientific Calculations
Harvard physicist Matthew Schwartz has released BootLoops, an open-source AI harness that has already helped produce 36 scientific manuscripts across 18 fields.
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Understanding Entra Agent ID's Silent Authorization Failures
Configuring permissions for Microsoft Entra Agent ID requires three steps. Missing the final inheritance step results in a silent HTTP 200 OK with empty roles.
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IBM Releases Self-Hosted Bob Agentic AI Platform for On-Prem and Air-Gapped Environments
IBM Bob self-hosted is now generally available, allowing enterprises to run agentic AI development on-premises and in air-gapped environments while retaining full code control.
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Prime Intellect Debuts Prime Inference for Frontier Open Models
Prime Intellect launches Prime Inference, bringing serverless and reserved serving capabilities to open-source frontier models like GLM-5.3.
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Meta AI Assistant Muse Exposed Building Detailed Personal Network Dossiers
Leaked internal files reveal how Meta's viral AI agent Muse builds detailed relationship profiles on users' friends, family, and contacts using structured memory.
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DeepMind Researchers Propose 'Artificial Symbiotic Intelligence' Over Singularity
DeepMind-affiliated researchers suggest AI's future lies in 'Artificial Symbiotic Intelligence'—a collaborative ecosystem of humans and modular agents, rather than a single superintelligence.
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Securing AI Voice Agents: How to Prevent LLMs From Giving Away Money in Negotiations
Discover how developer Juan Sebastian Peña Donneys built a two-layer defense system to stop a voice negotiation agent from leaking profits and overpaying.
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AI Agents Write Blender Code for 3D Scenes but Fail at Self-Evaluation
Researchers introduce LEGO-Anything and LEGO-Bench to evaluate how AI agents construct 3D Blender scenes from photos, highlighting key spatial reasoning flaws.
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Evaluating Superpowers: Does the Coding Agent Checklist Justify the Token Cost?
The Superpowers plugin promises to stop AI coding agents from breaking your codebase. We analyze its performance, token costs, and when developers should actually use it.
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Text-Based AI Assistants Emerge as New Alternatives to Dedicated Apps
A growing market of AI agents allows users to manage calendars, travel, and household tasks directly through text messaging interfaces like iMessage, RCS, and WhatsApp.
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California Enacts Landmark Protections Limiting AI Use in Workplace Decisions
California Governor Gavin Newsom has signed legislation restricting fully automated firings, neural data harvesting, and AI-driven surveillance in workplace restrooms.
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