Results for “models”
- topicAI Models
Frontier and open-weight models, reasoning systems, small models and the economics of intelligence.
- topicReasoning Models
Models that spend compute at inference time to plan, verify and correct before answering.
- article7 SeptSmall Reasoning Models Are the Quiet Revolution
Reasoning capability is being distilled into models that run on cheap hardware and inside private walls. That changes the economics of who gets serious AI.
- trendSmall Reasoning Models — Parallax Index 72
Reasoning capability is being distilled into models that run on cheaper hardware and inside private environments.
- article8 SeptOpen-Weight Models Are Becoming Strategic Infrastructure
What began as a research norm is now a matter of procurement, sovereignty and industrial policy.
- signal13 SeptOpen-source AI models are becoming strategic infrastructure.
Open-weight releases now shape procurement, sovereignty policy and enterprise architecture decisions, not only research.
- signal9 SeptSmall reasoning models make private AI economically viable.
Distilled reasoning capability on cheaper hardware brings serious AI inside regulated and air-gapped environments.
- signal3 SeptIndustrial data is finally being connected to models.
Digital twins, sensor streams and maintenance records are becoming training and grounding data for factory AI.
- topicPhysical AI
AI systems that perceive, reason and act in the physical world: robots, autonomous machines and embodied models.
- research3 SeptPhysical AI: State of Play
From foundation models to factory floors, a map of the robotics and embodied AI landscape and the metrics that will decide it.
- topicMultimodal AI
Models that see, hear, speak and act across text, image, audio, video and sensor data.
- article11 SeptPhysical AI Leaves the Lab
Foundation models have given robots general perception. The next test is not a demo video but a cost per task.
- article5 SeptThe Inference Economy
Training built the AI industry's first chapter. Serving models continuously to agents and users is writing the second.
- trendPhysical AI — Parallax Index 87
Foundation models are giving robots general perception. Pilots in logistics and manufacturing are the proving ground.
- signal11 SeptInference, not training, is becoming the dominant compute story.
As agents run continuously, the economics of serving models start to matter more than the cost of building them.
- research3 SeptPhysical AI: state of play
Deep Dive mapping the robotics and embodied AI landscape from foundation models to factory floors.
- trendEnterprise AI — Parallax Index 77
The pilot-to-production gap is where value is won. AI-first operating models are setting the benchmark.
- glossarySovereign AI
National or regional efforts to control AI compute, models and data as strategic infrastructure.
- article6 SeptThe AI-First Company
Small teams are reaching milestones that once required hundreds of people. Incumbents are being measured against them.
- topicAI in Manufacturing
Industrial AI, digital twins, robotics and software-defined factories.
- topicAI-First Companies
Organisations designed around AI from the start, and incumbents rebuilding to match them.
- topicRobotics
Humanoids, industrial arms, mobile robots and the software stacks that make them useful.
- companyAnthropic
AI safety-focused frontier lab behind the Claude model family, with strong positioning in coding agents and enterprise deployment.
- companyFigure AI
Humanoid robotics company developing general-purpose robots for commercial and, eventually, domestic use.
- companyOpenAI
Frontier model developer behind ChatGPT, with a growing focus on agents, enterprise deployment and consumer scale.
- technologyAI Data Centers
Where capital becomes compute.
- technologyHumanoid Robots
General-purpose machines built for human environments.
- technologyPhysical AI
Intelligence that perceives and acts in the physical world.
- glossaryDistillation
Training a smaller model to reproduce the behaviour of a larger one, transferring capability at lower cost.
- glossaryInference
Running a trained model to produce outputs. As agents operate continuously, inference cost becomes the dominant economic factor.
- glossaryOpen-weight model
A model whose trained parameters are published for download and use, with or without a fully open licence.
- glossaryReasoning model
A model that spends additional compute at inference time to plan, verify and correct its answer before responding.
- glossaryTest-time compute
Compute used when a model answers a query, as opposed to during training. Scaling it improves reasoning on hard problems.
- glossaryWorld model
A model that learns an internal representation of how an environment behaves, enabling prediction and planning.