The Next Web (1 hour ago)
Chinese AI companies DeepSeek and Moonshot AI relied heavily on OpenAI’s GPT-6 Astra to train their latest models, The Information reported on Wednesday, citing people with direct knowledge of the matter.
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US tech stocks were set to open lower on Thursday after mixed results from Alphabet and Microsoft. Investors are weighing how much Big Tech spends on AI against how quickly that spending pays off. Nasdaq 100 futures were down 1.2% early on Thursday, Reuters reported.
A hulking gray giant rises from the desert. Inside, engineers create the force behind our phones and computers and appliances, our streaming services and search engines and chatbots and vibe-coded apps and websites.
Death Clock promises to predict when you’re going to die and help you extend your time on Earth. After a month, I felt like it was sucking the life out of me.
The enigmatic service is providing popular AI coding tools to mainland China and other regions where OpenAI and Anthropic products are not officially for sale — but with key security features turned off.
Anthropic has published how the Claude Code team reviews code now that Claude writes roughly 90% of it, including a claim that nobody keeps a complete mental model of the codebase.
Google’s latest Gemini 4 Carbon AI model boasts top benchmark scores in areas like cybersecurity and coding.
Hamburg startup MuRay has raised €7.1M to look inside dense metal parts, such as 3D-printed rocket engines and gas turbines. It does this with muons, tiny particles that pass through materials that block X-rays.
Lovable has opened its first London office, giving the Swedish AI app builder a second home for its engineering, product and design teams. Around 70 people are already working there, and the company plans to increase that number to 100 by the end of the year.
Google Cloud more than doubled its revenue in the third quarter, beating analysts’ forecasts, Alphabet said on Wednesday. Weaker growth in search advertising, however, meant the group as a whole fell short of expectations.
One AI “super user” in a team of five to seven people lifts the whole team’s AI adoption and usage by 56%, Atlassian’s Avani Prabhakar told TNW. Atlassian counts someone as a super user if they use AI’s most sophisticated features more than 40 times a week to change a workflow, she said.
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