Business & Startups - Page 7 of 47
AI company news, venture capital funding, startup launches, mergers, acquisitions, and major market moves in the AI industry.
AI company news, venture capital funding, startup launches, mergers, acquisitions, and major market moves in the AI industry.
Vercel now handles 6 million deployments a day, and half of them come from coding agents rather than human developers pushing code.
Zhipu AI's Beijing-based Z.ai has a new coding tool called ZCode, built on its GLM-5.2 model, and it's aimed squarely at Claude Code and OpenAI's Codex. The pitch is familiar by now: comparable capability, much lower price.
Amazon Web Services will stop accepting new customers for Mechanical Turk starting July 30, 2026, according to an announcement posted through AWS Service Availability Updates.
Bigger context windows sell chips. The tech industry has obediently chased that line, from a few hundred tokens to thousands, treating length as an inherent good. It's often a waste of money.
Mark Zuckerberg told his own employees the plan isn't working. His big AI bet is stalling.
Companies are adding AI tools much faster than they are setting up systems to manage them, according to a new survey. The report, from VentureBeat AI, found most firms still use manual checks to oversee their AI.
Another AI coding tool just launched. This one is Chinese. It matters because nothing in this market is simple anymore. Z.ai, the lab behind the open-source GLM models, has released ZCode.
Anthropic just turned its code-writing bot into a lab assistant. The company announced Claude Science on Tuesday, a new flagship tool built to parse complex research.
The numbers are cartoonishly large. Forget billions. Meituan built LongCat-2.0 with 1.6 trillion parameters, and they did it on over 50,000 homegrown Chinese chips.
Google Cloud dropped two new AI models Tuesday. The first, Nano Banana 2 Lite, spits out an image from text in roughly four seconds for a crisp $0.034 per 1,024-pixel square.
An internal memo from a Deloitte manager has laid it bare. The billable hour, the financial engine of professional services, is being dismantled. Not by critics, but from the inside.
Enterprise AI agents don’t just run, they act. They read files, execute commands, call services. That autonomy is the whole point, yet it is also the vulnerability.
AI is great at following a script. Put it in charge of something, and it will usually run it straight into the ground. A new experiment from Princeton proves the point with cruel clarity.
Anthropic's Mythos is banned for export. So Asian firms are building versions that aren't. Tokyo's Sakana AI just released Fugu, a model its founders say matches frontier performance without the legal headaches.
Standard RAG is fine for blog posts and help docs. It's useless for a medical chart or a reinsurance treaty. The problem isn't intelligence, it's context.
Anthropic bet its political future on a cybersecurity product called Mythos. The bet is failing.
The AI architect job description for 2026 sounds like a liability waiver. Scale, Cost Design, Governance. It's a job for people who can look at a spreadsheet of cloud expenses and see a story about risk.
Code that writes itself is a trick. Code that writes itself, then double-checks its work, then only declares success when it’s actually right, that is the shift.
Alibaba’s AI video model, dubbed HappyHorse, has surged to second place in the global Arena rankings, nudging past Google’s Veo 3.1 and capitalizing on a market that’s suddenly thin. Why does this matter?
The numbers do the talking: Fugu Ultra crushes four coding benchmarks, tops CharXiv Reasoning, and aces Humanity’s Last Exam. Its sibling, regular Fugu, sweeps SciCode, τ³ Banking, and Long Context Reasoning.
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