Why AI startups are taking data into their own hands
Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to proprietary training data as a competitive advantage.
Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to proprietary training data as a competitive advantage.
Jack & Jill uses conversational AI to sidestep the listing and resumé shuffle. With $20 million in seed funding, the company is plotting its US expansion.
Anthropic has released Claude Haiku 4.5, the newest version of its smallest model, billed as offering similar performance to Sonnet 4 “at one-third the cost and more than twice the speed.”
Semiconductor firm Arm is partnering with Meta to enhance the social media company’s AI systems amid an unprecedented infrastructure buildout.
Datacurve uses a “bounty hunter” system to attract skilled software engineers to complete the hardest-to-source datasets.
Zendesk has launched a new autonomous support agent that should solve 80% of support issues without human intervention.
Google launched a new feature for its command-line AI system, Gemini CLI, allowing outside companies to integrate directly into the product.
OpenAI now has all the pieces in place for AI-driven commerce, establishing ChatGPT as a place customers go to buy and retailers go to sell.
AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the industry behind.
As part of the change, Anthropic is updating the structure of its core technical group, bringing the company’s product-engineering team into closer contact with the infrastructure and inference teams.