Scaling Laws Are Not Dead — They Are Changing Shape
Rumors of diminishing returns from bigger models miss what is actually happening: the axes of scaling are shifting from parameters toward data quality, test-time compute, and multi-agent orchestration.
GPU Supply Is Loosening — But Power Is the New Bottleneck
After two years of scarcity, top-tier GPUs are shipping on reasonable timelines again. The next constraint is measured in megawatts, and it is much harder to fix.
The Quiet Rise of Agentic Browsers
A new category of browser is emerging where the address bar is a task box. Early versions are rough, but the interaction model may be more important than any single product.
Building RAG Systems That Do Not Hallucinate
Retrieval-augmented generation is presented as a hallucination fix. It is not, by default. Here is what actually works — and what does not — after four years of production experience.
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Regulation, safety, labor, and the human stakes of AI.
Latest Reporting
40 articles in the archive
The Quiet Return of Neurosymbolic AI
After a decade in the shadow of pure deep learning, symbolic reasoning is being welded back onto neural systems — not as a rival paradigm, but as scaffolding for reliability.
World Models Are the Next Frontier of AI Research
Learned simulators of physical and social environments are becoming the substrate that reasoning, robotics, and planning increasingly depend on — and the labs that own the best world models may own the next decade.
The Data Center Real Estate Boom Nobody Planned For
Rural counties that had never heard of hyperscale compute two years ago are approving multi-billion-dollar campuses. The land, water, and power arithmetic behind the rush.
Voice-First AI Is Quietly Eating the Chatbot
Users are talking to their AI assistants more and typing to them less. The product implications — for form factor, latency budgets, and interface design — are only starting to sink in.
Diffusion Models Come for Text
For years diffusion belonged to images, video, and audio. A new wave of research suggests the same denoising machinery may soon reshape how large language models generate text.
Vector Databases Grow Up
The vector database category spent its adolescence trying to be a standalone product. In 2026 it is quietly becoming a feature of every serious database — and that is a healthier outcome for the people actually building things.
Editor’s Picks
Curated from each sectionAI Research
View all →The Quiet Return of Neurosymbolic AI
After a decade in the shadow of pure deep learning, symbolic reasoning is being welded back onto neural systems — not as a rival paradigm, but as scaffolding for reliability.
World Models Are the Next Frontier of AI Research
Learned simulators of physical and social environments are becoming the substrate that reasoning, robotics, and planning increasingly depend on — and the labs that own the best world models may own the next decade.
Diffusion Models Come for Text
For years diffusion belonged to images, video, and audio. A new wave of research suggests the same denoising machinery may soon reshape how large language models generate text.
Industry
View all →The Data Center Real Estate Boom Nobody Planned For
Rural counties that had never heard of hyperscale compute two years ago are approving multi-billion-dollar campuses. The land, water, and power arithmetic behind the rush.
The New Compensation Bands Inside the AI Talent War
Total compensation for senior AI researchers has decoupled from the rest of tech. What is actually being priced — and who is paying.
GPU Supply Is Loosening — But Power Is the New Bottleneck
After two years of scarcity, top-tier GPUs are shipping on reasonable timelines again. The next constraint is measured in megawatts, and it is much harder to fix.
Product
View all →Voice-First AI Is Quietly Eating the Chatbot
Users are talking to their AI assistants more and typing to them less. The product implications — for form factor, latency budgets, and interface design — are only starting to sink in.
Enterprise Search Finally Got Good
After twenty years of underwhelming rollouts, internal search inside large organizations is quietly becoming useful — driven less by better ranking and more by a shift in what search is expected to do.
AI Wearables After the First Wave of Flops
The first generation of standalone AI wearables underperformed expectations. The next wave is quieter, more focused, and — perhaps — actually useful.
Engineering
View all →Vector Databases Grow Up
The vector database category spent its adolescence trying to be a standalone product. In 2026 it is quietly becoming a feature of every serious database — and that is a healthier outcome for the people actually building things.
Fine-Tuning Versus RAG — A Practical Decision Framework
Teams keep asking whether to fine-tune or retrieve. The honest answer is that the question is malformed — most production systems need both, and the interesting choice is which parts to route where.
Guardrails and Structured Outputs in Production
Getting an LLM to return valid JSON is the easy part. Making it return valid, safe, on-schema output at scale is a systems problem that most teams underestimate.
Policy & Society
View all →
The EU AI Act In Practice, Eighteen Months In
The bloc's landmark law has moved from theoretical to operational. The lessons for teams building outside Europe are more direct than most realize.
AI Watermarking Standards Are Finally Arriving
After years of voluntary commitments and incompatible schemes, a workable set of content-provenance standards is coming together. The question is whether adoption catches up before the political urgency passes.
AI and Elections — What 2026 Actually Showed
The predicted deepfake apocalypse did not arrive. The subtler AI influence on elections did — and the lessons for the next cycle are not the ones commentators expected.
The State of Frontier AI — 2026
Our running dossier on the labs, models, and mechanics defining the frontier this year. Explainers, deep reads, and the numbers that actually matter.
Long Reads
Take your timeScaling Laws Are Not Dead — They Are Changing Shape
Rumors of diminishing returns from bigger models miss what is actually happening: the axes of scaling are shifting from parameters toward data quality, test-time compute, and multi-agent orchestration.
Why Reasoning Benchmarks Keep Getting Saturated
Every year a new suite of hard reasoning benchmarks lands, and every year a model clears them within months. What that pattern is really telling us about progress.
The Quiet Return of Mixture of Experts
Mixture-of-experts models were an academic curiosity a decade ago. They now underpin most frontier systems — for reasons that have as much to do with GPUs as with intelligence.
GPU Supply Is Loosening — But Power Is the New Bottleneck
After two years of scarcity, top-tier GPUs are shipping on reasonable timelines again. The next constraint is measured in megawatts, and it is much harder to fix.
“The bitter lesson has not been repealed. It has been generalized. Compute still wins — we are just learning where to spend it.”
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Signal&Stack is an editorial publication covering AI — the research, the industry, the products, and the policy questions that follow. We write for professionals who need to understand what matters, why it matters, and what comes next.