Models, agents and the infrastructure behind them.
Artificial intelligence spans model research, developer tooling, applied products and the compute layer underneath. It is the fastest-moving category on Huburb and the one most entangled with energy, semiconductors and data centre build-out.
Anthropic has released the newest version of its mid-range model, boasting faster response times and less token burn.
Source: TechCrunch · Read the original
Shopify is expanding WebMCP support to checkout, allowing browser-based AI agents to update order details and complete purchases with a buyer's authorization.
Source: TechCrunch · Read the original
Jensen Huang introduced software and hardware products that add independent security layers around AI agents so they stay within their environments even if they try to break out.
Source: TechCrunch · Read the original
Recent hacks have shown that the law is lagging when it comes to holding companies accountable.
Source: MIT Technology Review · Read the original
AI agents are software systems that use a language model to plan a sequence of steps and then take actions — calling tools, writing files, querying databases — instead of only producing text.
Large models trained on broad data that can be adapted to many downstream tasks rather than being built for one purpose.
The set of techniques — quantisation, batching, caching, distillation and specialised silicon — that reduce the cost and latency of running a trained model.
Eyewear with cameras, microphones, speakers and sometimes a display, used as a hands-free interface to an AI assistant.
AI safety company and developer of the Claude family of models.
San Francisco, United States · Founded 2021
Developer of the GPT models and ChatGPT.
San Francisco, United States · Founded 2015
Social platforms, Llama models and smart glasses.
Menlo Park, United States · Founded 2004
The constraint on deploying AI agents in serious workflows is not capability but accountability. Audit trails, scoped permissions and approval steps are becoming the product.
SignalAs AI products reach volume, attention is shifting from training runs to the recurring cost of serving. Routing, compression and purpose-built silicon are where margin is won.
Huburb Daily
Five developments that matter, why each one matters, plus a company and technology worth watching.