Hubs

Broadcom is a major semiconductor and infrastructure-software company that helps design custom AI chips and networking hardware for large data centers. This hub covers Broadcom’s role in AI silicon and the partnerships behind purpose-built inference and training chips.

AI is reshaping how companies raise money, hire, and operate. We cover the funding, deals, and tools that matter, with an eye on what Georgian businesses can use or learn from.

ByteDance is the Chinese technology company behind TikTok and one of the most active builders of AI in China. It develops the Doubao model family and consumer AI apps used by hundreds of millions of people. This hub collects news and explainers about ByteDance’s models, products, and the regulatory pressures shaping them.

The California AI Transparency Act is a state law that requires makers of generative AI systems to disclose when content is AI-generated and to offer tools for verifying it. This hub tracks the law’s requirements, its rollout, and how it fits into the broader push for AI transparency and content-labeling rules across the US and beyond.

Cerebras Systems is a US chipmaker known for its wafer-scale engine (WSE) — the largest computer chip ever built — designed to train and run AI models faster than clusters of GPUs. The company also runs an inference cloud service prized for very fast token generation on large language models. This hub follows Cerebras’s chips, partnerships, and position in the AI hardware market.

Chain-of-thought is a reasoning technique where an AI model works through a problem step by step before giving its final answer, instead of jumping straight to a conclusion. It underpins how modern reasoning models tackle math, coding, and multi-step tasks, and is a key technique in prompt design. This hub covers how chain-of-thought works, why it improves accuracy, and how it’s used in practice.

ChatGPT is the conversational AI assistant from OpenAI, widely credited with bringing generative AI to mainstream attention. This hub covers updates to ChatGPT, new features and model releases, enterprise adoption, and its impact on how people work, learn, and create — including what it means for users in Georgia.

China is one of the two centers of the global AI race, home to labs and companies such as Alibaba, DeepSeek, ByteDance, and Zhipu AI, many of which release competitive open-weight models at low cost. It also has some of the world’s strictest AI regulations. This hub follows China’s models, chips, companies, and AI policy.

Advanced chip packaging fuses multiple silicon dies — logic, memory, and interconnects — into a single AI chip, and has become as important to AI performance as the fabrication process itself. This hub follows the packaging technologies (like CoWoS and HBM integration), the companies building them, and why packaging capacity, not raw chip fabrication, is now the industry’s tightest supply bottleneck.

Claude is the family of AI assistants built by Anthropic, available through the web, mobile apps, and a developer API. It is known for a safety-first design and strong performance on writing, analysis, and coding tasks. This hub gathers news and explainers about Claude’s models, features, and how to use them.

Claude Code is Anthropic’s agentic coding tool that reads, edits, and tests real codebases from the terminal. This hub covers Claude Code’s capabilities, pricing, updates, and how developers put it to work.

Cloudflare is an internet infrastructure company whose network sits in front of a large share of the web, giving it a front-row role in AI bot traffic, content access, and edge AI. This hub covers Cloudflare’s AI-related products and policies.

Cognizant is a global IT services and consulting company that helps large enterprises adopt digital and AI technologies, increasingly through partnerships with major AI labs to train its workforce and embed AI into client platforms. This hub tracks Cognizant’s AI partnerships, product integrations, and enterprise rollouts.

Computer use is the AI capability that lets a model operate a computer the way a person would — viewing the screen, moving the cursor, clicking, and typing to complete tasks in existing software. This hub covers computer-use agents from labs like Anthropic and OpenAI, their capabilities and limits, and how they are being adopted for automation.

Computer vision is the branch of AI that lets machines interpret and analyze images and video. This hub covers developments in image recognition, object detection, autonomous vision systems, and the multimodal AI models that process visual data.

Conservation covers how artificial intelligence helps protect wildlife, livestock diversity, and natural habitats — from species and breed identification to population monitoring and anti-poaching efforts. This hub follows AI tools built for conservation work, including projects supporting Georgia’s native animal breeds.

Constitutional AI is Anthropic’s method for training a model to follow a written set of principles by having it critique and revise its own answers, instead of relying mainly on human-labeled examples. It is one of the techniques used to make Claude safer and more predictable. This hub explains how the approach works and where it fits among AI safety methods.

As AI systems increasingly interact with consumers directly — through chatbots, personalized pricing, and automated decisions — regulators and advocates are pushing for more transparency and fairness. This hub tracks disclosure rules, deceptive AI practices, and consumer-rights debates, including what they mean for shoppers and companies in Georgia.

Context engineering is the practice of managing everything an AI model sees when it generates a response — instructions, memory, retrieved documents, and tool outputs — not just the prompt itself. As AI agents take on longer, multi-step tasks, deciding what enters the context window, and what stays out, has become as important as the model’s underlying capabilities. This hub covers the techniques, tools, and tradeoffs behind building reliable AI systems this way.

How copyright law applies to AI — from training data disputes and lawsuits against AI companies to what protection applies to AI-generated work. We track the court rulings, settlements, and policy debates reshaping the rules for creators and AI developers alike.

Core Scientific is a US company that started out mining bitcoin and has since repositioned as a builder and operator of data-center infrastructure for AI workloads. It has signed multi-year, multibillion-dollar capacity deals with chipmakers and AI compute buyers to supply these power-hungry data centers.

Cryptography secures digital communication and data, and AI is reshaping it from both sides — powering new attacks on cryptographic systems while accelerating the post-quantum methods designed to withstand them. This hub follows research, standards, and industry news at the intersection of AI and cryptography, including encryption, key management, and quantum-safe security.

AI is reshaping customer service — chatbots and voice agents that answer routine questions, triage tickets, and hand off to a human when a case gets complex. This hub covers the tools businesses actually use, what they cost, and how to adopt them without hurting the customer experience. Expect practical, hype-free coverage rather than vendor claims.

CXMT (ChangXin Memory Technologies) is China’s leading DRAM manufacturer, central to Beijing’s push for domestic memory-chip self-sufficiency amid US export controls. This hub tracks CXMT’s capacity expansion, its products, and its role in the global memory supply chain that underpins AI hardware.

Dario Amodei is the co-founder and CEO of Anthropic, the AI safety-focused lab behind the Claude models. He is one of the industry’s most prominent voices on frontier AI capabilities, safety research, and the pace of progress toward more powerful systems. This hub collects news and analysis on his public statements, Anthropic’s strategy, and his views on where AI is headed.

AI data centers are large facilities packed with thousands of GPUs that train and run AI models, drawing as much electricity as a small city. The race to build them is reshaping energy grids, chip supply, and local politics worldwide. This hub follows AI data-center construction, power demand, and the companies behind it.

A deepfake is AI-generated media in which a person’s face, voice, or likeness is digitally replaced or fabricated. This hub covers how the technology works, the harms and regulations around it, and how to tell real media from fake.

Google DeepMind is the AI research lab behind models and breakthroughs such as Gemini, AlphaFold, and AlphaGo. We track its model releases, research papers, and the broader push to combine large-scale AI with scientific discovery.

DeepSeek is a Chinese AI lab known for cheaply trained, open-weight models that rival far more expensive Western systems and reshaped the industry’s conversation about AI costs. This hub follows DeepSeek’s models, releases, and impact.

Demis Hassabis is the co-founder and CEO of Google DeepMind and a leading voice on the direction of AI research, recognized with a Nobel Prize for his work on AlphaFold’s protein-structure predictions. This hub follows his statements, research priorities, and influence on Google’s AI strategy.