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Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works weren’t about a single breakthrough model. Instead, they challenged fundamental assumptions that academicians and corporations have quietly relied on: Bigger models mean better reasoning, RL creates …

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) Read More »

The German AI startup Black Forest Labs (BFL), founded by former Stability AI engineers, is continuing to build out its suite of open source AI image generators with the release of FLUX.2 [klein], a new pair of small models — one open and one non-commercial — that emphasizes speed and lower compute requirements, with the …

Black Forest Labs launches open source Flux.2 [klein] to generate AI images in less than a second Read More »

Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs through next-token prediction, their technique, called internal reinforcement learning (internal RL), steers the model’s internal activations toward developing a high-level step-by-step solution for …

How Google’s ‘internal RL’ could unlock long-horizon AI agents Read More »

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 …

Kilo launches AI-powered Slack bot that ships code from a chat message Read More »

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. …

Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews Read More »

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 …

Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI Read More »

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 …

Claude Code just got updated with one of the most-requested user features Read More »

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 …

Breaking through AI’s memory wall with token warehousing Read More »

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 …

Z.ai’s open source GLM-Image beats Google’s Nano Banana Pro at complex text rendering, but not aesthetics Read More »

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. …

AI agents can talk — orchestration is what makes them work together Read More »