Tag: WebDev

The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses freshness, repeatedly sending customers down the wrong paths. Instead, intent-first architecture uses a lightweight language model to parse the query for intent and context, before delivering to the most relevant content sources (documents, APIs, people).Enterprise AI is a speeding train headed for a cliff. Organizations are deploying LLM-powered search applications at a record pace, while a fundamental architectural issue is setting most up for failure.A recent Coveo study revealed that 72% of enterprise search queries fail to deliver meaningful results on the first attempt, while Gartner also predicts that the majority of conversational AI deployments have been f

Claude Cowork is now available to more Claude users, alongside new updates aimed at team workflows.Anthropic made Claude Cowork accessible to users on Team and Enterprise plans, and it brings the platform closer to being a collaborative AI infrastructure. For enterprise teams, the change matters less as a feature update than as a shift in how Claude is meant to be used. Cowork reframes Claude as a shared, persistent workspace where context, files, and tasks live beyond a single user session. This aligns more closely with how teams actually operate than one-off chat interactions.Cowork, released earlier in January, lets people complete non-technical tasks in the same asynchronous way they use Claude Code. It was initially limited to Claude Max subscribers. Enterprise and Teams users who can access Claude Cowork can begi

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done.In a blog post on Thursday, OpenAI disclosed how it is using the open-source PostgreSQL database.OpenAI runs ChatGPT and its API platform for 800 million users on a single-primary PostgreSQL instance — not a distributed database, not a sharded cluster. One Azure PostgreSQL Flexible Server handles all writes. Nearly 50 read replicas spread across multiple regions handle reads. The system processes millions of queries per second while maintaining low double-digit millisecond p99 latency and five-nines availability.The setup challenges conventional scaling wisdom and offers enterprise architects insight into what actually works at massive scale.The lesson here isn’t to copy OpenAI’s stack. It’s that architectural decisions should be driven by workload pat

Security teams are buying AI defenses that don't work. Researchers from OpenAI, Anthropic, and Google DeepMind published findings in October 2025 that should stop every CISO mid-procurement. Their paper, "The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections," tested 12 published AI defenses, with most claiming near-zero attack success rates. The research team achieved bypass rates above 90% on most defenses. The implication for enterprises is stark: Most AI security products are being tested against attackers that don’t behave like real attackers.The team tested prompting-based, training-based, and filtering-based defenses under adaptive attack conditions. All collapsed. Prompting defenses achieved 95% to 99% attack success rates under adaptive attacks. Training-based methods fared no better, with bypass rates hitting 96% to 100%. The researchers design

Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server transcribes your words, a language model thinks, and a robotic voice reads the text back. Functional, but not really conversational. That all changed in the past week with a rapid succession of powerful, fast, and more capable voice AI model releases from Nvidia, Inworld, FlashLabs, and Alibaba's Qwen team, combined with a massive talent acquisition and tech licensing deal by Google DeepMind and Hume AI.Now, the industry has effectively solved the four "impossible" problems of voice computing: latency, fluidity, efficiency, and emotion.For enterprise builders, the implications are immediate. We have moved from the era of "chatbots that speak" to the era of "empathetic interfaces." Here is how the landscape has shifted, the specific licensing models

Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure.TQ Ventures led the round, with participation from FPV Ventures, Redpoint, and Unusual Ventures. The investment values Railway as one of the most significant infrastructure startups to emerge during the AI boom, capitalizing on developer frustration with the complexity and cost of traditional platforms like Amazon Web Services and Google Cloud."As AI models get better at writing code, more an

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning.The researchers propose MemRL, a framework that gives agents the ability to develop episodic memory, the capacity to retrieve past experiences to create solutions for unseen tasks. MemRL allows agents to use environmental feedback to refine their problem-solving strategies continuously.MemRL is part of a broader push in the research community to develop continual learning capabilities for AI applications. In experiments on key industry benchmarks, the framework outperformed other baselines such as RAG and other memory organization techniques, particularly in complex environments that require exploration and