最新 AI 资讯
An Anthropic researcher’s doomsday warning comes at a very interesting time
An Anthropic researcher resigned this week,warning in a post on Xthat the company is “racing straight to self-improving superintelligence and gambling with our lives”. The company’s own alignment lead evenco-signed the messagerather than walking it back. It’s the kind of doomer warning the AI industry has flirted with before, but the timing, with Anthropic reportedly preparing for an IPO, makes it land differently. On this episode of TechCrunch’sEquitypodcast, hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into the latest AI safety warning and what it says about the industry’s race toward increasingly capable models. Plus,Apple’s first big event under new CEO John Ternusand more of the week’s headlines. 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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Kimi-maker Moonshot AI targets $2B in annual revenue
One of China’s most prominent AI labs, Moonshot AI, believes it can turn its popular open-weight model into serious sales growth. On Friday,Bloomberg reportedthat the lab is targeting $2 billion in annualized revenue by the end of the year, double the company’s reported revenue run rate for August. It’s an aggressive goal that reflects the success of the company’s K3 model since its release this summer. While K3’s usage figures have declined slightly in recent months,OpenRouter datacurrently shows as many as 300 billion tokens being generated each day by K3 models on the system. Moonshot’s projected revenue is still dwarfed by that of OpenAI and Anthropic, which recent reports put at$40 billionand$65 billion, respectively. Because Moonshot’s model weights are freely available, the company has far lower margins than its closed-weight competitors. The rising projections show there’s still money to be made from open-weight AI models, even if they’re not as lucrative as closed-weight frontier models. Still, Moonshot’s model development practices remain controversial — if not downright illegal. Earlier this week, Anthropicaccused the companyof a long-running model distillation campaign that routed nearly 300,000 requests from Kimi directly to Claude Opus, effectively serving Opus in place of Kimi’s own models. In total, more than 23 million responses were collected from Anthropic models for use in Moonshot’s training, the company alleged.
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Final, final, final call for TechCrunch Disrupt 2026 Side Events
Theabsolute last chanceto apply to host an officialSide EventduringTechCrunch Disrupt 2026istonight, September 11, at 11:59 p.m. PT. No more extensions. No more chances. If you’re bringing your community to Disrupt, don’t just give them another place to gather. Give them a reason to show up — and give your organization a reason to host. A Side Event can help you: Put your team directly in front of founders, investors, customers, partners, and other decision-makers who can unlock your next deal, partnership, investment, hire, or collaboration. Create the kind of conversations that are harder to have on a crowded conference floor — and deepen relationships with the people most relevant to your business. Own the conversation around a topic your audience cares about and give your brand a meaningful role in the Disrupt ecosystem. Bring your existing network together while creating opportunities for members to meet new people, exchange ideas, and make valuable connections of their own. Approved Side Events may be promoted through TechCrunch’s Side Events page, Disrupt agenda, mobile app, newsletters, articles, and social channels. Give your community25% off Disrupt tickets, making your Side Event part of a larger experience — not a stand-alone gathering. The opportunity is bigger than hosting a party or meetup. Use Disrupt week to create relationships, generate opportunities, strengthen your brand, and put your organization at the center of the conversations shaping what’s next. Applications close tonight at 11:59 p.m. PT. This is the final deadline. There will be no more extensions. To be considered for the official Side Events lineup,submit your application before midnight. Don’t just attend Disrupt. Make something happen around it. You don’t need to host a Side Event to make Disrupt work for your business. Get a ticket and use the week to source new customers and partners, meet investors, find talent, see what’s next in tech, and have the conversations that can move your business forward. Regular pricing ends September 26. Get your ticket before prices rise — and make sure you’re in the room for the people, ideas, and opportunities shaping what’s next. Get your ticket to TechCrunch Disrupt 2026.
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One week left to book your exhibit table at TechCrunch Disrupt 2026
Book your exhibit table at TechCrunch Disrupt 2026 by September 18 at 11:59 p.m. PT.Tables are limited and can sell out before the deadline. If you’re coming toTechCrunch Disrupt 2026to find customers, meet investors, build partnerships, or put your product in front of the people who can move your business forward,don’t leave your presence to chance. The exhibitor program gives your team a dedicated 6′ × 30″ table in the Expo Hall for all three days — a place to demo what you’re building, answer questions in real time, and turn passing traffic into meaningful conversations. You’ll also get: Come ready to demo your product, start conversations, identify potential customers and partners, meet investors, and turn event traffic into relationships you can continue building after Disrupt. Time is running out to secure an exhibit table at Disrupt — and once the remaining tables are gone, so is the opportunity to get your startup on the Expo Hall floor. The real cost of waiting isn’t just missing a table. It’s missing the conversations, leads, and opportunities that could come from having your product in the room. The deadline is September 18 at 11:59 p.m. PT— tables can sell out before then. One week. Limited space. Don’t wait for the opportunity to disappear. Secure your exhibit table now.
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ChatGPT for Financial Services Launched With Financial Data, AI Reasoning and Enterprise Controls
OpenAI on Thursday announced ChatGPT for financial services as a specialised ChatGPT Work experience to help financial institutions with research, financial modelling and client-facing materials. The San Francisco-based company said that it combines built-in financial datasets from providers like Daloopa, PitchBook, LSEG News and Crunchbase with GPT-6 Astra's reasoning and document-generation capabilities. The platform also includes enterprise-grade security controls, firm-specific templates, and more than 50 connectors for financial and business applications.
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Why AI Needs a Different Kind of Cloud
Production AI is changing how enterprises divide workloads across general-purpose cloud, specialised AI infrastructure, and edge.
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Hyderabad GCC Boom May Add 8–12 Mn Sq Ft of Office Demand Over Next 3–5 Years
GCC leasing in Hyderabad has more than doubled from approximately 1.9 million sq ft in 2021 to 4.5 million sq ft in 2025.
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Can Enterprise AI Agents Learn From Their Own Mistakes? A Bengaluru Startup Thinks So
With 150+ enterprises and 20+ million monthly transactions, NuPlay is betting on AI agents that learn from their failures.
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Shopify Ditches React Native, Moves Shop App to Kotlin & Swift
The decision has drawn reactions from React Native developers, who questioned the performance comparisons and whether coding agents alone justify maintaining separate native codebases.
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Karnataka Approves ₹35 Cr AI Hub at IIIT Bangalore
The initiative will combine industry-linked certification, startup incubation and AI research through an integrated platform with real-world testbeds.
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8 Reasons Why Anthropic’s New Report is an AI Doomer’s Worst Nightmare
From biological research to weapons development, Claude seems to have found its way to the global underbelly.
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Forget Google, Brands are Now Fighting for Visibility on ChatGPT
As consumers increasingly turn to AI for recommendations and product research, advertisers are treating LLMs as another layer of the digital marketing funnel.
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