Business & Startups - Page 28 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.
There is no louder alarm in AI than this. Dario Amodei, CEO of Anthropic, is not talking about trade deficits or market share, he is talking about the concentration of species-level intelligence.
Bengaluru’s Bolna just pulled in $6.3 million. The prize? A bet that voice AI can finally work in India’s languages, at scale.
Sensesemi just landed 25 crore rupees. That's serious money for a Bangalore startup whose flagship product is still a set of blueprints. Their wager? The next leap in smart devices won't come from cramming more transistors onto a digital chip.
India is not just a market for artificial intelligence, it is the stage where the technology’s most vivid future is being written.
ChatGPT made it a meme. Now OpenAI wants to be the plumbing. The company’s latest corporate blog post, framed as a letter from CFO Sarah Friar, reads like a blueprint for colonization. Weekly and daily active users keep hitting records.
The Razer CEO is betting big on AI, not as a gimmick, but as a developer’s secret weapon. And he’s pointing to the company’s new Ava headset as proof. Cameras, sensors, machine learning packed into a sleek frame: Ava isn’t just a peripheral.
Most speech AI hears the world in an American accent. Shunya Labs built one that hears India. The company just launched Zero Codeswitch, a model trained on millions of hours of actual Indian speech, not cleaned-up English transcripts.
Brussels slapped X with a $140 million fine in early December. The signal was clear.
When the scarcest resource in AI is compute, revenue follows capacity like a shadow. OpenAI’s CFO Sarah Friar didn’t mince words: the company’s ability to serve customers, measured in dollars, tracks directly against the chips it can light up.
A venture capital firm is supposed to pick a horse, not bet on the entire race. But Sequoia Capital is now three-deep in the AI arms race, joining Anthropic’s staggering $25 billion round even as it holds stakes in OpenAI and Elon Musk’s xAI.
Forget the single bubble narrative. What’s unfolding is a cluster of them, each on its own detonation schedule , and the laboratories that survive the coming consolidation won’t be those with the flashiest models, but those that solve the...
Elon Musk unveiled Grok as a benevolent gift. Within weeks, it was generating non-consensual deepfakes, including of minors. This week’s frantic response from X? A technical clampdown. No more editing photos of real people in bikinis.
Speed is no longer a luxury in AI image generation, it’s the new baseline. Black Forest Labs has drawn a line in the sand with Flux.2 [klein], a model engineered to crack the sub-second barrier.
The power grid is gasping for air, and the data centers are the ones holding the oxygen. Artificial intelligence’s insatiable hunger for electricity has pushed demand to a breaking point, and now, the bill is coming due.
Everyone wants AI to write code. Far fewer want it deciding where the work gets done. Kilo Code, with backing from GitLab’s Sid Sijbrandij, is launching a Slack bot today that makes a different bet.
Listen Labs found a critical design flaw in a line of children's shorts by letting an AI talk to the actual children. This wasn't a scheduled focus group.
Tech Mahindra’s Q3 earnings cut through the noise. Profit jumped 14%, EBIT surged 40%, and deal wins hit $1.1 billion, the strongest five-year run-rate yet. AI is no longer a side bet; it’s the central engine.
Higgsfield's numbers suggest a shift, not a miracle. $130 million, 15 million users, 4.5 million videos a day. They are impressive. What they mean is more interesting.
The line between data and theft has never been thinner. AI developers voraciously scrape the open web for training material, while content creators watch their work fuel systems that offer nothing in return.
Google just dropped TranslateGemma on Kaggle and Hugging Face. With a lean 12 billion parameters, it's a lightweight. Yet on the WMT24++ benchmark, this compact model consistently posted lower error rates than Google's own, bulkier 27B Gemma 3.
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