最新 AI 资讯
Mistral AI Takes on OpenAI, Anthropic With Its 1 Tn Parameter Model
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 Reveals Exactly How ChatGPT Predicts Your Age
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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Gemini in Chrome Gets Auto Browse in India, Letting AI Handle Web Tasks
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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Soket AI Launches Loop, Open-Source Harness for Long-Running AI Agents
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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Cypher 2026 Day 1 Highlights: AI Moves Beyond Models to Decisions, Agents and Sovereignty
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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AI Governance Cannot Be Solved by Blocking Models, Says Kimchi Core Contributor
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 Unveils EmbeddingGemma 2 With Multimodal Search and On-Device AI Support; Nano Banana 2.1 Announced
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 Says Suspected OpenAI AI Agents Generated Millions of Requests, Made Unauthorised Edits: Report
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 Unveils EmbeddingGemma 2 With Multimodal Search and On-Device AI Support; Nano Banana 2.1 Announced
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 Says Suspected OpenAI AI Agents Generated Millions of Requests, Made Unauthorised Edits: Report
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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Paytm's Vijay Shekhar Sharma Offers Personal Cheques to Founders Building AI Models
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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Ex-Ramp engineers raise $20M for platform Melius after scrapping their first product
Melius, an AI platform for generating ad campaigns, images, and videos, announced on Tuesday that it raised a total of $25 million in funding, including a $20 million Series A led by CRV and a $5 million seed round led by General Catalyst. While the startup claims to have hit more than $1 million in annualized revenue within two months of coming out of stealth in July, co-founder Joowon Kim (pictured on right) admits that Melius didn’t hit it out of the park initially. When the New York-based company first launched over a year ago, Kim and his co-founders, Young Kim (pictured on left) and Arnav Ramu (pictured center) set out to build an AI-powered performance marketing tool. The three knew each other from working as engineers at Ramp, the corporate spending and finance software company. More than six months after building the product, the co-founders decided their original idea didn’t “have legs,” Joowon Kim told TechCrunch. Instead of helping marketers manage and optimize ad spend, the team chose to focus on what it saw as a much larger opportunity: building the tools that generate the creative assets and campaigns themselves. “We scrapped the entire codebase; we burned all of it,” Kim said. Melius quickly went to work on an entirely new product. Nearly a year after its initial launch, it revealed a platform that it describes as an “agents lab for creative work.” Melius is far from the only startup helping ad agencies, marketers, and brands generate creative assets and campaigns with AI. Competitors include rapidly growing Higgsfield, which was valued at$5.4 billionin August, as well as other small startups, including Krea and Flora AI. Kim isn’t concerned about the competition. He acknowledged that Higgsfield, a three-year-old company that has hit over $700 million in annualized revenue, “is growing like mad,” but according to Kim, the size of the market is so large that it can support multiple competitors. “There are a lot of players, which is pretty exciting,” he told TechCrunch. “That means there are customers to be won and there is demand in this space.” As for why former Ramp engineers are building an ad-generation product, Kim, who describes himself as a social media influencer, says he has been passionate about making short videos since elementary school and once dreamed of becoming a famous YouTuber. “I tried my best to make vlogs,” he said. “My dad was great at using FinalCut Pro, but I wasn’t.” Those early vlogs never quite took off, but his fascination with making digital media remained. Now, with Melius, he’s building the tool he always wanted: a platform where anyone, including seasoned creative directors, can turn their ideas into reality using plain language.
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