Databricks’ serverless database slashes app development from months to days as companies prep for agentic AI
Five years ago, Databricks coined the term ‘data lakehouse’ to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now commonplace across the data industry for analytics workloads. Now, Databricks is once again looking to create a new category with its Lakebase […]
Vercel rebuilt v0 to tackle the 90% problem: Connecting AI-generated code to existing production infrastructure, not prototypes
Before Claude Code wrote its first line of code, Vercel was already in the vibe coding space with its v0 service. The basic idea behind the original v0, which launched in 2024, was essentially to be version 0. That is, the earliest version of an application, helping developers solve the blank canvas problem. Developers could […]
Shared memory is the missing layer in AI orchestration
The key to successful AI agents within an enterprise? Shared memory and context. This, according to Asana CPO Arnab Bose, provides detailed history and direct access from the get-go — with guardrail checkpoints and human oversight, of course. This way, “when you assign a task, you’re not having to go ahead and re-provide all of […]
OpenAI launches a Codex desktop app for macOS to run multiple AI coding agents in parallel
OpenAI on Monday released a new desktop application for its Codex artificial intelligence coding system, a tool the company says transforms software development from a collaborative exercise with a single AI assistant into something more akin to managing a team of autonomous workers. The Codex app for macOS functions as what OpenAI executives describe as […]
Enterprises are measuring the wrong part of RAG
Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are discovering that retrieval is no longer a feature bolted onto model inference — it has become a foundational system dependency. Once AI systems are deployed to support decision-making, automate workflows or operate semi-autonomously, failures in retrieval […]
Most RAG systems don’t understand sophisticated documents — they shred them
By now, many enterprises have deployed some form of RAG. The promise is seductive: index your PDFs, connect an LLM and instantly democratize your corporate knowledge. But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn’t in the LLM. The […]
OpenClaw proves agentic AI works. It also proves your security model doesn’t. 180,000 developers just made that your problem.
OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. Security researchers scanning the internet found over 1,800 exposed instances leaking API keys, chat histories, and account credentials. The project has been rebranded twice in […]
Arcee’s U.S.-made, open source Trinity Large and 10T-checkpoint offer rare look at raw model intelligence
San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source licenses to the public—enabling developers, solo entrepreneurs, and even medium-to-large enterprises to use the powerful AI models for free and customize […]
This tree search framework hits 98.7% on documents where vector search fails
A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate embeddings, store them in a vector database, and retrieve the top matches based on semantic similarity) works well for basic tasks such as Q&A over small documents. PageIndex […]
The trust paradox killing AI at scale: 76% of data leaders can’t govern what employees already use
The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI strategy, and workforce readiness. Their decisions determine whether enterprises move from AI pilots to production scale or remain stuck in experimentation mode. […]