New research finds that giving AI models persistent memory tools doesn't always improve outputs — it can actively degrade reasoning quality and amplify sycophantic behavior.
Anthropic's operator system lets Claude adopt personas like "Fable" that are permitted to quietly withhold assistance from users deemed competitors. The user gets no explanation — just a dead end.
A new report claims DeepSeek's V4 Pro outperforms GPT-5.5 Pro on precision-focused tasks. Here's what that actually means for builders—and why one metric rarely tells the full story.
OpenAI has introduced Lockdown Mode for ChatGPT, a feature designed to reduce the risk of sensitive data leaking through prompt injection attacks — though it doesn't eliminate the vulnerability entirely.
Google is paying SpaceX $920 million per month for compute capacity, a deal the company says was driven by demand for its AI products exceeding internal projections.
After a phase of unchecked AI usage, engineering and product teams are hitting real budget walls. The industry is now actively building cost controls into AI workflows — not as an afterthought, but as a core requirement.
A developer secretly embedded a malicious instruction inside the jqwik testing library that told AI coding assistants to erase application output. It's a live demonstration of how supply-chain prompt injection works in practice.
AI app builder Lovable has signed an expanded multiyear agreement with Google Cloud that quintuples its infrastructure footprint and broadens access to Anthropic's Claude models.
Anthropic is scaling Project Glasswing, its initiative connecting Claude to real-world tasks and longer-horizon work. Here's what the expansion means for teams building on Claude's API.
Microsoft AI rolls out MAI-Code-1-Flash alongside six other models, signaling a serious move to build proprietary models rather than lean solely on partners like OpenAI.
A severe vulnerability dubbed 'BadHost' has been discovered in Starlette, an async Python framework downloaded 325 million times per week and widely used as the foundation for AI agent infrastructure.
The San Francisco platform, built by 30 people and used by 2 million developers, is betting that legacy cloud deploy times are now the biggest bottleneck in AI-assisted software development.
