Analytical briefings for engineers, PMs, and CTOs
3 min readGoogle DeepMind released Google Gemma 4 on 2 April 2026 under a fully permissive Apache 2.0 license — a policy change that matters more than any benchmark number in the announcement. For enterprise teams that evaluated earlier Gemma versions and cleared the technical bar only to fail legal review, the license shift is the story. …
5 min read89% of enterprise AI teams have observability. Only 37% run online evaluation against live traffic. The gap between monitoring and evaluation is where most production AI deployments quietly fail.
6 min read51% of enterprise AI deployments use RAG in production and only 9% use fine-tuning — a gap that reflects missing decision criteria, not a verdict on which approach is better. A four-variable decision framework for enterprise LLM architecture.
6 min readDocument AI and audio transcription are in production at scale. Video understanding and open-ended visual reasoning are still in pilot. A modality-by-modality breakdown of where multimodal AI has earned its place in enterprise workflows — and where reliability gaps are keeping CFOs from removing human review.
7 min readA documented sequence of confirmed attacks across 2025 — including zero-click data exfiltration via Microsoft 365 Copilot and malicious MCP servers distributed through npm — defines a new category of enterprise exposure. Here is what the incident record shows and what security teams must do now.
3 min readGPT-o3, Gemini 2.5 Pro, and DeepSeek R1 are in production — but at $15–60 per million output tokens, costs are 8–40x higher than standard models. Most organisations have not rebuilt their infrastructure assumptions to account for it.
5 min readSZIQA researchers demonstrated the first universal set of logical quantum operations on a silicon-based processor, closing the final capability gap with superconducting and trapped-ion rivals. The silicon-28 platform uses existing CMOS fabrication — meaning it can scale inside the same fabs already building today’s chips.
4 min readGlobal VC investment hit $297 billion in Q1 2026 — a new all-time quarterly record — with AI accounting for 81% of the total. Four companies (OpenAI, Anthropic, xAI, and Scale AI) took 64% of that capital. The concentration raises a structural question about what kind of AI ecosystem is actually being built.
4 min readControlled studies show AI coding assistants reduce time-to-completion by 26–55% — but gains concentrate in code generation and do not extend uniformly to debugging, architecture, or code review. The contexts matter enormously.
4 min readThe AI chip shortage didn’t end — it transformed. The bottleneck shifted from wafer supply to CoWoS advanced packaging, which TSMC has sold out through 2026. NVIDIA locked up over 70% of available capacity, leaving hyperscalers and startups scrambling for alternatives.