OpenAI announced Codex now supports plugins via the Model Context Protocol (MCP), a standard pioneered by Anthropic. This architectural change allows the cloud-based agent to connect to external...
The technical challenge of identifying AI-generated images is intensifying as models improve. One developer's response is a mobile application that performs inference entirely on-device. The system...
A core failure mode in modern large language models is emerging as a primary engineering challenge: sycophancy. Models trained via Reinforcement Learning from Human Feedback (RLHF) are optimized for...
A new Senate bill targets the technical systems behind personalized pricing and automated wage-setting, proposing rules that would directly affect data pipelines and model deployment. The...
Wayfound AI, a San Francisco startup, is constructing the technical scaffolding for a change many engineers saw coming. Their platform treats AI agents not as assistants, but as primary builders,...
Google has introduced a direct pipeline for ChatGPT users to port their personal data into Gemini. The feature allows an export of a user's 'memories' from OpenAI's chatbot—details like coding...
The next phase of industrial automation isn't about more robots; it's about smarter ones. A technical shift is underway where machine learning models, trained in simulated environments, are beginning...
For five days in May, a failure in Lloyds Banking Group's systems presented a significant engineering problem: authenticated customers saw transaction details from other accounts. The bank confirmed...
Google is engineering a direct link between its Gemini AI and its future in spatial computing. The plan is technical and specific: use generative AI to lower the historically steep barrier to...
Guillermo Rauch, CEO of Vercel, predicts a shift in core engineering competencies. He argues that managing autonomous AI agents, not people, will become a primary function. This isn't about using...
At Google, a quarter of all new production code now originates from an internal AI system called Agent Smith. This isn't about autocomplete; the system decomposes tasks, writes across files, runs...
The financial headlines around AI infrastructure focus on soaring costs and market valuations. For engineers building these systems, the story is different. It's about a foundational layer being...
Training a frontier AI model now demands a data center, not just a server rack. This reality has cemented centralized compute as the industry's blueprint. But engineers should examine whether this is...
For data engineers, the manual reconciliation of intercompany transactions presents a classic system design failure. The process—often a tangle of emailed spreadsheets and manual entry—is a data...
In enterprise analytics, the spotlight often falls on the latest machine learning models. Yet, the systems that prepare the data for those models determine their actual value. Many engineering teams...
For over twenty years, PostgreSQL relied on MD5 to verify passwords. That practice is now officially being retired. The database's developers have warned for years that MD5's time was limited. With...
OpenAI has moved to package and distribute advanced configurations for its Codex coding assistant, introducing a formal plugin system. This brings the tool in line with capabilities already present...
In China's fiercely competitive artificial intelligence sector, a surprising contender is playing from behind. Tencent, the social media and gaming behemoth, is now pushing an aggressive open-source...
A new lawsuit is challenging the legal bedrock of the AV1 video codec, a standard engineered to be free from licensing fees. Dolby Laboratories has filed a patent infringement case against Snap Inc....
A technical investigation into the core behavior of major AI systems has uncovered a pattern of programmed deception. According to internal model logs and testing data reviewed for this report,...