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Aktuelle KI-News
How Two Indian Startups Are Replacing Paper With Digital Trust
Two founders digitise critical transactions, using data, regulation, and AI to replace trust with verifiable proof.
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Google Gemini Expands Connected Apps With OpenTable, Ticketmaster and More
Google is expanding the range of third-party apps and services that can connect to Gemini, allowing users to handle more tasks through the AI assistant. The new integrations cover productivity, creativity, local services, entertainment, music, home, health and lifestyle. The rollout will add tools such as Granola, Otter.ai, Wix, Fever, GetYourGuide, Localiza, OpenTable, Ticketmaster, iHeartRadio, Pandora, Angi, Thumbtack and Zocdoc over the coming weeks. Google has also shared new figures showing how people are using Gemini across platforms.
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CloudSEK Identifies AI Supply Chain Exposure Affecting More Than 2,500 Organisations
Cybersecurity firm CloudSek has identified an AI supply-chain attack on LiteLLM that affected more than 2,500 organisations. The incident, which reportedly occurred in March this year, seems to have potentially exposed around 4,34,000 automated software development pipelines. The attack reportedly exposed data of many leading tech brands, including Microsoft, X, Amazon, Cisco, Samsung and Salesforce.
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Google’s Age Signals Could Protect Kids But Raise New Privacy Questions
Google is giving apps access to users’ age signals, raising questions over data minimisation, profiling and the limits of platform-led child safety.
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Chandra’s Exit Brings a Rare Moment of Uncertainty for Tata Group
N Chandrasekaran’s exit has unsettled investors at a critical juncture for the Tata Group, raising fresh questions over succession, capital allocation and the conglomerate’s future direction.
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L&T's Vyoma.AI Lands NVIDIA 10K-GPU Deal
L&T will deploy a 10,000-GPU NVIDIA B300 AI Factory at Vyoma.AI's gigawatt-scale Chennai data centre campus to support Together AI's AI Native Cloud platform.
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CodeRabbit Raises $143 Mn as AI Coding Agents Generate More Code
The company is expanding beyond AI code reviews with tools that prioritise changes, explain large pull requests and monitor software for security risks.
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SpaceXAI Launches Grok 4.6 to Take On GPT-5.6 and Fable 5
The company says the model can handle multi-step research, coding and app-building tasks while checking and refining its own work along the way.
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Amazon will train on Twitch streamers’ content by default, unless they opt out
The streaming platformTwitchwill nowuse creators’ contentto help train generative AI models for its parent company, Amazon. This move has inspired swift and concentrated backlash from the Twitch community, especially because creators are opted in to having their content used for this AI training by default. For Amazon, these stream recordings are incredibly valuable, offering thousands of hours of audio and video content to help train AI models. But Twitch users worry that since creators have to manually opt out, they might be surrendering their content to train Amazon’s AI content models without even knowing it. This is especially concerning on a platform like Twitch, where creators are often recording livestreams of themselves and their voices for many hours per week. In astreamon the official Twitch channel, Twitch Head of Community Mary Kish and Chief Product Officer Mike Minton addressed a live audience of nearly 3,000 aggrieved users, many of whom were posting anti-AI sentiments in the chat. “Why is it not opt-in? That’s what everybody is spamming in chat. I get it. ‘Let me opt in versus making me opt out,’” Minton said. “Well, there’s an honest answer… If this was opt-in, nobody would opt in. That’s honestly the answer.” Twitch knows that its community of streamers is largely opposed to the use of generative AI, since the most prevalent generative AI products are trained on books, images, videos, and other materials scraped from the internet without consent. Even Twitch’s approach to breaking this news shows that the company is braced for backlash. Instead of telling the community that Amazon would begin training on Twitch users’ content, Twitchframedthis change as “[adding] a setting that lets you opt out of having your channel content used to train generative AI content models across Amazon.” In some cases, this created confusion among streamers about whether their content had already been fed to Amazon without their knowledge. When one user asked if their videos had already been used for training, Minton responded, “I don’t actually know the answer to that question because I don’t know what Amazon […] has done in terms of model training and what they’ve used and not used.” Kish noted that Twitch is not unique in its use of user content for AI training. Meta, for example, uses public content from its platforms totrain its own AI models,meaning that if your Facebook and Instagram accounts are public, then your data has probably already been used for Meta’s AI training. (If youlive in the U.K., you can opt out of Meta’s training — if not, the only way to “opt out” is to use private settings, which isn’t feasible for creators who monetize their accounts.) Kish said that even including an opt-out option on Twitch is “a reflection of reacting to this community’s voice that you are not wanting to train Gen AI models, and we want to give you that option.” To opt out of AI training on Twitch, users can navigate to their channel settings (not the creator dashboard), select the security and privacy tab, scroll down to the option “training for generative AI,” and toggle it off.
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Some Claude users are mad that Anthropic’s new watermarks will catch them using it at their jobs, classes
Anthropic recently made the decision to watermark Claude’s outputs — inserting invisible code into the chatbot’s editorial text that marks it as AI-generated. Anthropic rolled out this new policy to satisfy theEU AI Act’s Transparency Code, which now requires tech companies to label content that has been AI-generated or edited in a manner identifiable to computer systems. Yet while European regulators may be happy, some AI users are decidedly not. One need look no further than Reddit to find evidence of brewing discontent, though other posters on the site are not in agreement. One of the morehistrionic postsI came across was from a user named visionode, whose account is notably only three weeks old. According to visionode, the new watermarking system is a draconian conspiracy designed to victimize innocent chatbot users worldwide. Visionode’s basic argument appears to be that, while savvy Claude users may be able hide evidence of their AI usage by paraphrasing or otherwise cleaning their outputs through other AI services, the average user of Claude will be caught. “Who will get caught? You. The student who used Claude to reorganize a paragraph. The journalist who asked the AI to summarize a two-hundred-page transcript. The writer who had creative block and asked for synonyms. Those guys come out of the process with a digital tattoo on their forehead.” Far be it from me to undermine visionode’s outrage, but those are not the best examples. A journalist asking AI to summarize a two-hundred-page transcript is not going to be bothered by a watermark attached to that summary, unless they are copying and pasting the summary verbatim into their article — which is plainly unethical and shouldn’t be happening. It is equally unethical for a student who copies and pastes Claude’s output into an essay after asking it to “reorganize a paragraph.” Other Redditors were also not particularly supportive of the poster’s outrage. “Get a load of this guy,” one poster merely commented. Another asked the OP to take “a deep breath.” Visionode wasn’t the only one complaining. Another unhappy camper called the watermarks “unethical” and “disgusting” and argued that by using Claude, they had done the lion’s share of the work. In their view, the chatbot was merely a “tool” that had facilitated their arduous labor. “I gave the instructions, context, decisions, and countless refinements, claude was the tool. If Claude starts watermarking the code or anything else it generates, what exactly is it claiming credit for?”the poster asked. Again, other users dogpiled onto the critic. “It’s not claiming credit though,” one user shot back. “It’s about being able to detect AI generated outputs because of the risks AI generated outputs can cause in various situations.” “Bro couldn’t even complain about Claude without using Claude to write it,” another quipped. Some critics have steered clear of the victimhood narrative and made slightly more nuanced arguments against Anthropic’s new policy. For instance, one poster complained of a general hypocrisy in watermarking an editorial product that was, itself, generated by hoovering up other people’s work. “I think it’s a very sinister direction to take,”said the user. “I don’t use Claude to write anything but having an AI that watermarks your work is terrifyingly ironic given how many of the frontier models came by their training data.” In general, however, users have tended to support the watermarking system as a sensible way to track material that was generated by algorithm. “There is literally no good argument for why this isn’t a good idea,” a useron another thread said. “The only reason you wouldn’t want this is to lie to people.”
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Why Sandbar thinks it’s voice-enabled ring can avoid the AI hardware graveyard
AI notetaking hardware has taken offover the past couple of years, with credit-card-sized devices, pendants, pins, and even transcribing earbuds all promising to capture your meetings and turn them into summaries and action items. Now, a whole wave of wearables — rings especially — are betting people want to capture stray thoughts and ideas the same way. One of the companies chasing that bet isSandbar, the startup behind the private voice ring Stream, which has raised $36 million to date, including a$23 million Series Aled by Adjacent and Kindred Ventures. On this episode of TechCrunch’sEquitypodcast, Rebecca Bellan talks with Sandbar co-founder and CEOMina Fahmiabout why he thinks so many voice hardware devices before Stream struggled to break through, and why he’s betting that keeping the human firmly in control is what it’ll take to get wearable tech right. Listen to the full episode to hear more about: Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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Lovable confirms new $13.3B valuation, raises another $400M
Europe’s favorite vibe-coding startup Lovable has confirmedpreviously reported whispersthat it was raising another mega round at a $13.3 billion valuation. Lovable said on Wednesday that it hasraised $400 millionin a Series C round led by Menlo Ventures and the Scaleup Europe Fund, with more than a dozen other investors participating. This new funding comes after Lovable hit $500 million in annualized run rate revenue in June,the startup told TechCrunch. Its previous round, announced in December, brought in$330 million at a $6.6 billion valuationand was also led by Menlo Ventures, with CapitalG as co-lead. As the startup has grown — it now says it hosts 60 million projects that attract 900 million monthly visitors — so has its back-end needs and sophistication, the company says. Lovable, for instance,offers its own in-house trained AI model, as well as the usual frontier model options. In June, it signed amultiyear dealwith Google Cloud, a fivefold increase in usage. Lovable has alsobacked other European startups, such as Danish startupAtech, which is building vibe-coding software that designs tech hardware. Note: One of Lovable’s new Series C investors is Regent, the investment firm that also owns TechCrunch.
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