Feed Items
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 a lot of invisible waste — GPUs redoing work they’ve...
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 3 Pro Image), a powerful, fast, and flexible image generation model that renders complex, text-heavy...
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. “Because if you don't orchestrate it...
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 answer, or that it is being accused of...
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 challenges a dominant 2025 narrative...
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...
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, drafting documents, and taking action on behalf of employees.The new Slackbot, now generally available to Business+ and Enterprise+ customers, is...
In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves complicated optimization problems — and a more difficult and perhaps telling challenge than benchmarks like HumanEval, which mostly test the ability to write isolated functions, and which many AI models and...
Nvidia's Vera Rubin NVL72, announced at CES 2026, encrypts every bus across 72 GPUs, 36 CPUs, and the entire NVLink fabric. It's the first rack-scale platform to deliver confidential computing across CPU, GPU, and NVLink domains.For security leaders, this fundamentally shifts the conversation. Rather than attempting to secure complex hybrid cloud configurations through contractual trust with...
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself.The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users,...