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MetaannouncedWednesday that it took action against 33.2 million pieces of child sexual exploitation content on Facebook and Instagram in the first half of 2026. At the same time, the company is rolling out new AI tools to find ads and accounts that may be used to secretly direct people to illegal child abuse material. More than 97% of the content Meta acted on was found by its systems before users reported it, the company said. In India, Meta acted on 5.3 million pieces of child sexual exploitation content during the same period, with more than 98% detected before users reported it. Meta said its latest AI tools are aimed at people using ads that look harmless to send users to illegal content outside Meta’s platforms. The company has introduced a new large language model (LLM) system to detect what it calls “signposting.” This refers to ads that may look normal but are suspected of directing users to illegal content or other harmful activity elsewhere online. Meta says this is a tactic it has recently seen bad actors use as they continue to change their methods to avoid detection. While the ads themselves may not contain illegal material, they can still act as a gateway to websites hosting child sexual abuse material. Because of this, Meta said it’s now looking at where an ad sends users, and not just what the ad contains. The company can use this information to block websites or other destinations that break its rules and take action against the accounts behind them. Meta is also using additional AI-driven scans to find child exploitation content that earlier systems may have missed. The company said it will continue adding new signals as it learns more about how these networks operate. Another new tool is a “red-teaming AI agent” that tests Meta’s own safety measures. It looks for weaknesses that bad actors could use to get around the company’s protections. Meta said this could help it find new methods of abuse before they become more common. Additionally, the company is improving its systems for finding people who return to its platforms with new accounts after their previous accounts have been removed. The new measures come as Meta continues to face pressure over the safety of children on its platforms. The company has faced lawsuits and criticism from lawmakers over the risks its social media services may pose to young users. In August, Meta reached an agreement to payup to $18 billionto settle a child safety lawsuit involving 29 U.S. states, addressing concerns regarding the protection of children online. Meta has introduced several child-safety features this year, includingparental controls for Meta AI,pre-teen accountson WhatsApp, andalertsfor parents when children search Instagram for self-harm content. In September, WhatsApp addedmore controlsfor parents. They can limit how teenagers use Channels, control who can see their status updates, and decide who can add their children to groups. Parents can also choose to receive notifications about certain group activity.
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Mistral said that Large 4 is built for coding, cybersecurity, agentic workflows and multimodal tasks, with weights set to be released by the end of October.
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OpenAI introduced age prediction in ChatGPT earlier this year. The system helps the AI chatbot determine whether an account may belong to someone under the age of 18. The San Francisco-based AI company has now detailed how its age prediction functionality works. As per OpenAI, it adds an extra layer of protection beyond the date of birth provided when an account is created. Instead of only relying on a user's stated age, it looks at behavioural and account-level signals.
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Google has announced the expansion of Gemini in Chrome in India. As part of the move, the Mountain View-based tech giant is bringing its AI browsing assistant to Android users. Google says Gemini in Chrome can summarise lengthy webpages, answer questions about content, work with Google apps, and generate or edit images using Nano Banana. Apart from this, Auto Browse, which is Google's agentic feature, is rolling out on both desktop and Android.
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The company is training a 26-billion-parameter model that it plans to release as open source, along with its dataset and training stack.
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Vijay Shekhar Sharma offered personal funding to AI model builders, a Cast AI workshop showed the cost of model routing, and Tech Mahindra questioned whether humans can remain in the loop for every AI decision.
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Enterprises need to govern AI at the infrastructure layer by tracking spending, controlling access, managing risk, and matching tasks to the right models, says Kunal Das, core contributor to Kimchi.
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Google has announced EmbeddingGemma 2. This latest lightweight embedding model is designed to process text, code, images, audio, and video in a single, unified embedding space. The new model is built on the Gemma 4 architecture, and Google claims EmbeddingGemma 2 is optimal for on-device inference. EmbeddingGemma 2 has 740 million parameters. It is available on Hugging Face and Kaggle and will soon be available on the Gemini Enterprise Agent Platform Model Garden. Google has also released Nano Banana 2.1, an image generation and editing model. It is based on Gemini 3.6 Flash.
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Wikimedia Foundation has reportedly found activity from AI agents it believes were operated by OpenAI across its platforms. The agents made unauthorised edits to Wikimedia wikis, tried to use its public Etherpad service to access other websites and generated millions of automated requests to Wikimedia's services. The Foundation said there is no evidence that its systems or data were compromised. However, it warned that this kind of activity can put extra pressure on its infrastructure and the volunteers who maintain it.
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Google has announced EmbeddingGemma 2. This latest lightweight embedding model is designed to process text, code, images, audio, and video in a single, unified embedding space. The new model is built on the Gemma 4 architecture, and Google claims EmbeddingGemma 2 is optimal for on-device inference. EmbeddingGemma 2 has 740 million parameters. It is available on Hugging Face and Kaggle and will soon be available on the Gemini Enterprise Agent Platform Model Garden. Google has also released Nano Banana 2.1, an image generation and editing model. It is based on Gemini 3.6 Flash.
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Wikimedia Foundation has reportedly found activity from AI agents it believes were operated by OpenAI across its platforms. The agents made unauthorised edits to Wikimedia wikis, tried to use its public Etherpad service to access other websites and generated millions of automated requests to Wikimedia's services. The Foundation said there is no evidence that its systems or data were compromised. However, it warned that this kind of activity can put extra pressure on its infrastructure and the volunteers who maintain it.
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Sharma says India’s AI ambitions remain limited by risk aversion, despite sufficient capital, talent and infrastructure to build foundational technology.
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