最新 AI 资讯
JanAI Launches Community AI café in Rural Karnataka to Push Grassroots AI Adoption
The AI café in Mysuru’s HD Kote combines AI education, entrepreneurship and community-led innovation to help rural citizens build AI solutions for local challenges.
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Mindgrove, AtumX Take Indian Semiconductor Education to Classrooms with AGNI
AGNI enables learners to progress from block-based programming to AI applications on Indian-built hardware.
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AI Isn’t Enough to Fix Indian Schools
Wadhwani AI’s roadmap puts foundational learning, teachers and practical AI literacy ahead of chatbots in classrooms.
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Google Gemini Spark Personal AI Agent Launched in India, Adds Agentic Features to Gmail, Docs, and More
Google unveiled its new personal AI agent, Gemini Spark, during this year's Google I/O keynote. While showcasing the capabilities of the AI agent, the Mountain View-based tech giant announced that the agent will be released to users “later this year”. Now, the company has announced the launch of Gemini Spark in India, which will soon be generally available to paid Google AI users in the country. Google's new AI agent is capable of taking actions on behalf of users in the background. Users can choose to grant permission to Gemini Spark to connect to multiple apps and platforms.
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Freshworks Appoints Ex-ServiceNow exec Ryan Manning as Chief Product and Technology Officer
Manning will oversee Freshworks’ global product roadmap and engineering organisation across the company's software portfolio.
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Andrew Ng Launches AI Education Startup With $100 Mn Investment From Coursera
The venture will build AI learning guides that adapt to each learner's progress instead of relying on conventional chatbots.
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SK Hynix Stock Crashes Even as Profit Jumps 557% YoY on AI Supply Deals
The South Korean memory chipmaker said it has signed multi-year supply agreements with 10 AI customers as it forecast stronger second-half earnings.
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Mysuru Has Tech Talent and Temper. So What’s Stopping It?
Industry leaders say Mysuru’s biggest hurdles are no longer talent, but execution, infrastructure, and ambition.
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Over 1,100 Developers, Leaders Call for Global Framework to Pace Frontier AI
Signatories say the world currently lacks the tools to manage rapid advances in frontier AI across competing labs.
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Cyera agrees to acquire Oasis Security for $1B to safeguard proliferating AI agents
Data security company Cyera, which recently raised$600 millionat a $12 billion valuation, announced Tuesday that it signed a letter of intent to acquire Oasis Security for approximately $1 billion in a deal expected to be paid mostly in cash, with the remainder in Cyera shares. Oasis focuses on non-human identities, primarily AI agents. As the number of AI agents proliferates, companies must deploy cybersecurity software that monitors these agents’ behavior and grants them permission to access other software. Founded in 2022, Oasis has raised about $195 million from Accel, Craft Ventures, Cyberstarts and other investors. The deal highlights a surging market for cybersecurity providers defending enterprises against AI-weaponized threats. Cyera, which shares investors Accel and Cyberstarts with Oasis, has been on an acquisition spree, recently purchasing Index Ventures-backed Ryft and the less-than-one-year-old Genie Security. Post-acquisition, Cyera plans to integrate Oasis’s technology into a unified identity and data security platform. Although Cyera recently surpassed$150 millionin annual recurring revenue (ARR), the company is far from profitable, TechCrunch reported last month. The five-year-old company has raised about $2.3 billion in total funding.
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Sam Altman is ready to decelerate
OpenAI CEO Sam Altman says that it may be time to “pace” AI development so the world will be ready for it. “We may have to pace the rate of AI development to give ourselves enough time for society to harden around some of these new capability levels,” hetoldPatrick O’Shaughnessy, the host of the Invest Like the Best podcast, while also “trying to figure out how we do that in a way that does not feel like regulatory capture for anyone and also does not feel like collusion among the frontier labs.” BothOpenAIandAnthropiccame out in support ofa petitioncirculated by employees at the frontier labs, calling on the US government to “support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.” Altman has avoided signing on to past campaigns to slow AI progress,callinga 2023 open letter that proposed a similar slowdown “missing most technical nuance about where we need the pause.” Apparently, he’s softened on the idea, thanks in part tothe incidentwhere one of OpenAI’s advanced models managed to break out of a secure computing environment and hack into Hugging Face, an online model database, using several zero-day exploits. On the podcast, the OpenAI co-founder called it an “extremely sci-fi cyber incident…[t]his is the first security incident that I have felt very viscerally.” OpenAI researchers have paused training on that model while they work out how to keep their sandbox secure. But Altman said that as models become more powerful, the need to “pace” their development could become key to safe deployment. While model safety and alignment has always been a concern in the AI world, the arrival of Anthropic’s highly capable Mythos model earlier this year has turned hypotheticals into real-world problems. However, the industry has a trust problem, and challenging economics that give major players an incentive to play up the dangers of their systems in ways that experts disagree about — for example, whether or not Anthropic’s Fable model should have been briefly banned from use or not. Similarly, when Kimi K3, a large, open-weight model built in China, was released, OpenAI head of strategic futuresDean W. Ball said that it threatened the economics of frontier labs, making it difficult to separate their safety concerns from their financial interest. “I think a lot of the talk about safety concerns is well-founded, and then a lot of it is about people that just really, even if it’s slightly subconscious, want to concentrate power,” Altman mused, in what reads as a dig at his rival, Anthropic CEO Dario Amodei, who signed the petition. “I am terrified of a world where the very real fears of AI are used as a way to say, ‘Only this small group of people can have it because it’s too dangerous, and only they understand it, but don’t worry, like, they’re gonna make the right decisions for all of us.’ I don’t believe in that.” Still, OpenAI has pushed back against efforts to develop government rules for AI models, instead preferring an industry-led approach where AI labs would create ostensibly independent organizations that would evaluate the security of models and the safety approach of their makers.The challenge for both that approach to regulation and any efforts to slow AI development will be getting the various players in the industry on the same page, whether they are rival frontier labs in the U.S. or competitors in China. This story was updated to include OpenAI and Anthropic’s support of the “Pacing the Frontier” petition.
MCP startup Runlayer accuses Rippling of stealing its product idea
Runlayer, a startup that offers a secure Model Context Protocol gateway — a standard for letting AI models and agents securely pull in outside data and tools — has filed a lawsuit against HR software startup Rippling, according to the complaint seen by TechCrunch. The lawsuit is a cautionary tale for anyone selling AI infrastructure to enterprise customers, especially to other tech companies, that increasingly have the engineering muscle to just build the thing themselves. In the suit, Runlayer describes an extensive product trial conducted by Rippling as a prospective customer, during which the MCP startup shared everything from its product roadmap to its actual source code. The parties signed a mutual non-disclosure agreement and Rippling signed a product trial agreement with a clause that forbade it from copying Runlayer’s intellectual property or making derivative works, which is standard boilerplate in enterprise software trials. Runlayer says in the complaint that Rippling’s evaluation involved “nearly a year of intensive engineering collaboration.” But in the end, the two could not agree on a price, so Runlayer ended the product trial. Shortly after that, Runlayer alleges that a “Rippling insider” texted Runlayer founder and CEO Andrew Berman to inform him of “a project internally to build essentially a clone o[f] Runlayer … it’s almost a 1 to 1 copy of Runlayer.” Runlayer claims in the suit that Rippling’s product must have been based on the startup’s intellectual property and therefore constitutes trade secret misappropriation, unfair competition, and breach of contract. Rippling has confirmed to TechCrunch that it is indeed launching its own MCP gateway, though a spokesperson denies Runlayer’s allegations about misusing its IP. “Runlayer’s panicked effort to avoid competition by fabricating claims is not an effective way to deal with its business failures. Rippling is launching a superior product for connecting AI tools to business data using only our proprietary information — we have every reason to win in this market,” a Rippling spokesperson tells TechCrunch. Runlayer has retained white-shoe law firm Sullivan & Cromwell. That doesn’t mean Runlayer will, or even should, win this suit, but the same way a marquee VC lends a startup some credibility, a marquee law firm lends a lawsuit some credibility, at least optically. The more interesting part about this suit is really the inside peek it provides at the trials and tribulations of selling complex AI infrastructure into the enterprise, particularly to other tech companies. Enterprise sales notoriously take a long time to close, often because they hinge on this kind of deep, hands-on trial. MCP gateways in particular are getting crowded.Anthropic launched MCP as an open source protocolin November 2024. It’s now one of the basic building blocks of AI interoperability, giving models and agents a secure way to access external data sources and services. MCP gateway products add control, security, and other features, especially for managing agents, and the field has grown considerably more competitive since Runlayerlaunched its productin the middle of last year and raised a total of$42 million, including from Khosla Ventures and Felicis. Even after an intense trial, an enterprise may simply opt to build the tool in-house. Both sides are stuck between a rock and a hard place.