Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI
Agentic systems and enterprise search depend on strong data retrieval that works efficiently and accurately. Database provider MongoDB thinks its newest embeddings models help solve falling retrieval quality as more AI systems go into production. As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that […]
Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg’s $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco displaying what looked like gibberish: five strings of random numbers. […]
Kilo launches AI-powered Slack bot that ships code from a chat message
Kilo Code, the open-source AI coding startup backed by GitLab cofounder Sid Sijbrandij, is launching a Slack integration that allows software engineering teams to execute code changes, debug issues, and push pull requests directly from their team chat — without opening an IDE or switching applications. The product, called Kilo for Slack, arrives as the […]
Claude Code just got updated with one of the most-requested user features
Anthropic’s open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format. It is the engine behind Anthropic’s hit AI agentic programming harness, Claude Code, allowing it to access numerous functions like web browsing and […]
Breaking through AI’s memory wall with token warehousing
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory. Under the hood, today’s GPUs simply don’t have enough space to hold the Key-Value (KV) caches that modern, long-running AI agents depend on to maintain context. The result is […]
Z.ai’s open source GLM-Image beats Google’s Nano Banana Pro at complex text rendering, but not aesthetics
The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic’s Claude Code and a similar huge boost in user adoption for Google’s Gemini 3 AI model family released late last year — the latter of which includes Nano Banana Pro (also known as Gemini […]
AI agents can talk — orchestration is what makes them work together
Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical concern — and a key differentiator. “Agent-to-agent communications is emerging as a really big deal,” G2’s chief innovation officer Tim Sanders told VentureBeat. […]
Why Egnyte keeps hiring junior engineers despite the rise of AI coding tools
Egnyte, the $1.5 billion cloud content governance company, has embedded AI coding tools across its global team of more than 350 developers — but not to reduce headcount. Instead, the company continues to hire junior engineers, using AI to accelerate onboarding, deepen codebase understanding, and shorten the path from junior to senior contributor. The approach […]
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen “Chain of Thought” (asking the model to think step-by-step and often, show those “reasoning traces” to the user), “Emotional Blackmail” (telling the model its career depends on the […]
DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups
When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it’s using expensive GPU computation designed for complex reasoning — just to access static information. This happens millions of times per day. Each lookup wastes cycles and inflates infrastructure costs. DeepSeek’s newly released research on “conditional memory” addresses this architectural limitation […]