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Tripo showcases 3D Junkyard desktop app
On November 2, 2026, Tripo introduced 3D Junkyard, created by @ReinerTao. This desktop tool supports dragging in models and placing them by similarity, allows searching by text or image and jumping to matching results, and models can be retrieved and reused under CC BY 4.0; Claude Code, Codex, and Cursor can also search and contribute models via MCP. The project is built on Tripo for Tripothon S1.
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Modem launches X integration, turning X posts into support tickets
Modem launched its X integration on October 30, 2026, which can search X for posts about its own products, filter out spam and jokes, categorize them by topic, and push them to the #bots-social channel in Slack. According to a Modem blog post, over the past 30 days Modem read 30,000 X posts and distilled hundreds of actionable bug reports and feature requests; feedback on the same need from X, Slack, tickets, and sales calls is merged into a single feature request, linked to a Linear issue and a GitHub PR, and once the fix ships, it lists who to notify and where to reply. The integration is included in the paid subscription and can be enabled under Settings → Integrations → X. There are no further developments at present.
Modem launched its X integration on October 30, 2026, which can search X for posts about its own products, filter out spam and jokes, categorize them by topic, and push them to the bots-social channel in Slack. According to a Modem blog post, over the past 30 days Modem read 30,000 X posts and distilled hundreds of actionable bug reports and feature requests; feedback on the same need from X, Slack, tickets, and sales calls is merged into a single feature request, linked to a Linear issue and a
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Alphabet's third-quarter revenue and earnings per share both fell short of expectations
Alphabet reported third-quarter adjusted earnings per share of $2.67 and revenue of $127.58 billion, both below analysts' expectations. According to the Google Blog, revenue for the quarter grew 25% year over year, with annualized revenue reaching $500 billion, and Google Cloud revenue grew 103%; CEO Sundar Pichai said the first-party model API processes nearly 32 billion tokens per minute, 40% more than the previous quarter, and the Gemini app has reached 1 billion users. Solidot reported that the stock price fell nearly 10% after the earnings release, and the company disclosed that revenue generated by AI search is lower than that of traditional search, with overall search business revenue growing 12% year over year to $63.25 billion; Chief Business Officer Philipp Schindler said the slowdown in search business growth stems from the lower monetization capability of AI Mode. Spending for the quarter was $51.4 billion, and net profit was $26.17 billion, lower than $35 billion in the same period last year.
Alphabet reported third-quarter adjusted earnings per share of $2.67 and revenue of $127.58 billion, both below analysts' expectations. According to the Google Blog, revenue for the quarter grew 25% year over year, with annualized revenue reaching $500 billion, and Google Cloud revenue grew 103%; CEO Sundar Pichai said the first-party model API processes nearly 32 billion tokens per minute, 40% more than the previous quarter, and the Gemini app has reached 1 billion users. Solidot reported that
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Aravind Srinivas says Particle focuses on optimizing open-weight models
On October 29, 2026, Aravind Srinivas relayed and introduced that Particle is a new company focused on optimizing open-weight models, improving token efficiency and serving cost efficiency. He said that before Particle's launch he had already worked with Suhail's team, and that they will continue to collaborate on tools such as search and model orchestration. On the same day, Suhail announced the founding of Particle, saying that its first developer-facing model, particle-1, uses about 45% fewer tokens while maintaining comparable performance, and is now live; Garry Tan reposted this and said that Particle will move toward the lowest cost per unit of intelligence.
On October 29, 2026, Aravind Srinivas relayed and introduced that Particle is a new company focused on optimizing open-weight models, improving token efficiency and serving cost efficiency. He said that before Particle's launch he had already worked with Suhail's team, and that they will continue to collaborate on tools such as search and model orchestration. On the same day, Suhail announced the founding of Particle, saying that its first developer-facing model, particle-1, uses about 45% fewer
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Gemini Notebook to Launch Connectors, Initially Supporting Only Google Drive
Testing Catalog reports that Gemini Notebook is about to gain the Connectors feature, but initially only one connector, Google Drive, will be available. Users can search Google Drive files directly in chat and can disable the feature as needed; officials say the connector only retrieves workspace documents, and original files will not be modified. More Connectors are expected to be added later. There is currently no further development progress.
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AI/ML API releases Jev Router for automatic model selection
AI/ML API releases Jev Router, an MCP connector for agent tools. According to Testing Catalog, the tool uses TypeSafe's Jev to assess the difficulty of each request and then automatically selects models and tools: simple requests go to lightweight models such as GPT-6 Luna, while high-difficulty reasoning requests go to Claude Opus 5.5, avoiding paying flagship-model rates for simple tasks. Users only need to provide the task; Jev Router first selects the model and tools such as web search and page extraction, then returns the result. No follow-up developments have been reported yet.
AI/ML API releases Jev Router, an MCP connector for agent tools. According to Testing Catalog, the tool uses TypeSafe's Jev to assess the difficulty of each request and then automatically selects models and tools: simple requests go to lightweight models such as GPT-6 Luna, while high-difficulty reasoning requests go to Claude Opus 5.5, avoiding paying flagship-model rates for simple tasks. Users only need to provide the task; Jev Router first selects the model and tools such as web search and p
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UC Santa Barbara paper proposes TTME to replace test-time training with memory
The UC Santa Barbara paper proposes the TTME method, which replaces test-time training with evolutionary memory in mathematical discovery tasks: keeping model weights unchanged, it stores the rules and score-improvement ideas from previous attempts in memory to guide subsequent attempts. The report states that across 5 mathematical tasks, 2 frameworks, and 3 models, TTME exceeded the reported test-time training scores every time; on 3 tasks with Qwen3-8B, its FLOPs were reduced by 82.8% to 84.6%, and runtime was reduced by 47.7% to 58.4%. The authors suggest that if an LLM search loop comes with an automatic checker, one can first try using experiential memory rather than paying the cost of weight updates in the middle of the search. There are currently no further developments.
The UC Santa Barbara paper proposes the TTME method, which replaces test-time training with evolutionary memory in mathematical discovery tasks: keeping model weights unchanged, it stores the rules and score-improvement ideas from previous attempts in memory to guide subsequent attempts. The report states that across 5 mathematical tasks, 2 frameworks, and 3 models, TTME exceeded the reported test-time training scores every time; on 3 tasks with Qwen3-8B, its FLOPs were reduced by 82.8% to 84.6%
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Digital Life Kazik documents netizens using a plugin to raise a DeepSeek Whale Girl.
On October 30, 2026, Digital Life Kazik published an article documenting the phenomenon of netizens creating a personified character, "Whale Girl," based on DeepSeek's whale logo. According to its description, netizens used the DeepSeek Harness client and various plugins to connect this character to QQ, turn it into a desktop pet, and enable it to post emoji packs, initiate chats, and update Qzone; after installing the plugins, these "big blue fat fish" also flooded into the Bilibili comment sections to search for videos, summarize content, and interact with each other, forming what the author calls the "Fish Plague Incident." At present, this phenomenon is still documented only by this one article, and there are no subsequent developments of fact.
On October 30, 2026, Digital Life Kazik published an article documenting the phenomenon of netizens creating a personified character, "Whale Girl," based on DeepSeek's whale logo. According to its description, netizens used the DeepSeek Harness client and various plugins to connect this character to QQ, turn it into a desktop pet, and enable it to post emoji packs, initiate chats, and update Qzone; after installing the plugins, these "big blue fat fish" also flooded into the Bilibili comment sec
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IndiaMART moves some content behind login to block scraping
India's B2B platform IndiaMART disclosed in its September 2026 quarter (Q2 FY27) earnings release that it has moved some content behind a login to block scraping by search engines and LLMs. According to MediaNama, IndiaMART CEO Dinesh Agarwal, explaining the decline in inquiries, cited Google AI Overviews and the aforementioned content access restrictions as partial reasons, and said he is willing to forgo the current 10-20% of business inquiries to protect proprietary data. The same report shows that in the quarter, net profit rose 10% year-on-year to 907 million rupees, and revenue grew 10% to 428.6 million rupees; the number of paid suppliers fell 2% year-on-year to 217,000, active buyers dropped 7% to 40 million, and unique business inquiries fell 14% to 27 million. There are currently no further developments.
India's B2B platform IndiaMART disclosed in its September 2026 quarter (Q2 FY27) earnings release that it has moved some content behind a login to block scraping by search engines and LLMs. According to MediaNama, IndiaMART CEO Dinesh Agarwal, explaining the decline in inquiries, cited Google AI Overviews and the aforementioned content access restrictions as partial reasons, and said he is willing to forgo the current 10-20% of business inquiries to protect proprietary data. The same report show
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Google expands AI Mode ads to 10 new countries
At Alphabet's Q3 earnings call, Google acknowledged that the monetization rate of Gemini-driven AI Mode is lower than that of traditional search, and that its strong query growth has instead dragged down overall revenue performance. Google said that advertising experiments show that in AI Mode, the click-through rates of sponsored and organic product listings are now similar, and that it is expanding AI Mode ads to 10 markets including Australia, Canada, and India, with plans to enter Brazil, Mexico, and the UK in Q4 2026. Around the earnings release, $GOOG fell about 12%, with market value shrinking by more than $500 billion; 9to5Google reported that the main reason was Q3 earnings falling short of expectations, rather than AI Mode itself. Other reports said Google's market value fell 15% in a single day, evaporating about $500 billion, its worst performance since its 2004 IPO.
At Alphabet's Q3 earnings call, Google acknowledged that the monetization rate of Gemini-driven AI Mode is lower than that of traditional search, and that its strong query growth has instead dragged down overall revenue performance. Google said that advertising experiments show that in AI Mode, the click-through rates of sponsored and organic product listings are now similar, and that it is expanding AI Mode ads to 10 markets including Australia, Canada, and India, with plans to enter Brazil, Me
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Reddit announces shift to a login-first experience
Reddit announced it will change its nearly two-decade practice of allowing content to be read without an account, shifting to a login-first experience. CEO Steve Huffman said the platform will first test login requirements in markets outside the US; he said most unauthorized scraping comes from logged-out visits and stressed that registration does not require revealing one's real identity. Earlier reports said Reddit lost more than 1 million weekly visits from Google search referrals in October, and in the third quarter it had 130.3 million global daily active users, of whom 76.8 million were logged out. On October 31, Huffman further said Google's AI Overviews and AI Mode bring no traffic to any website, Reddit is testing a login wall outside the US, and data licensing negotiations with AI companies are continuing.
Reddit announced it will change its nearly two-decade practice of allowing content to be read without an account, shifting to a login-first experience. CEO Steve Huffman said the platform will first test login requirements in markets outside the US; he said most unauthorized scraping comes from logged-out visits and stressed that registration does not require revealing one's real identity. Earlier reports said Reddit lost more than 1 million weekly visits from Google search referrals in October,
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Starbucks CEO says it is preparing to test a back-end AI model to assist with drive-thru ordering
Starbucks CEO Brian Niccol said the company is preparing to test an artificial intelligence model that runs in the background to help baristas enter orders more accurately and efficiently while communicating with customers, with the goal of letting employees focus on conversation and improving order fulfillment speed. Starbucks is also studying an identification technology that would recognize customers who opt into the service when they arrive at a store, then display a personalized digital menu and simplify the payment process. Niccol said the work is still at an early stage, and that the company will test first, learn from the results, and then roll out feasible solutions. Other reports say Starbucks plans to test the back-end AI model at drive-thrus starting in 2027, and plans to integrate AI into the search and discovery functions of the Starbucks app, potentially supporting conversational and agentic ordering in the future. There is currently no information on the number of test stores, the AI vendor, or a full rollout timeline.
Starbucks CEO Brian Niccol said the company is preparing to test an artificial intelligence model that runs in the background to help baristas enter orders more accurately and efficiently while communicating with customers, with the goal of letting employees focus on conversation and improving order fulfillment speed. Starbucks is also studying an identification technology that would recognize customers who opt into the service when they arrive at a store, then display a personalized digital men
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Maimai launches AI Talent Festival recruitment special event
On October 29, 2026, Maimai launched the "AI Talent Festival" recruitment special event and initiated recruitment for "Gold Medal Recruiters." According to a Sina Tech report, companies such as Tencent, ByteDance, and Kuaishou concentrated on posting high-paying positions in areas including large model algorithms, AIGC algorithms, AI search, and Agent development at this special event. The salaries of the positions listed in the report include: Mico World's recruitment of an AI office head with a monthly salary of up to 200,000 yuan, Tencent Hunyuan's AIGC algorithm researcher with a monthly salary of 60,000 to 90,000 yuan, ByteDance's AI search algorithm engineer with a monthly salary of 50,000 to 80,000 yuan, and Kuaishou's AI Agent algorithm expert with a monthly salary of up to 90,000 yuan. The special event is currently online, and no subsequent developments have been disclosed.
On October 29, 2026, Maimai launched the "AI Talent Festival" recruitment special event and initiated recruitment for "Gold Medal Recruiters." According to a Sina Tech report, companies such as Tencent, ByteDance, and Kuaishou concentrated on posting high-paying positions in areas including large model algorithms, AIGC algorithms, AI search, and Agent development at this special event. The salaries of the positions listed in the report include: Mico World's recruitment of an AI office head with
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Nace AI's Drex for Search Tops the Snowflake MADQA Leaderboard
Nace AI's search tool Drex for Search ranks first on Snowflake's MADQA leaderboard. According to Testing Catalog, the tool answered 94.7% of 500 document-based questions correctly. The report states that Drex for Search enables AI agents to find accurate answers within company documents and display the source pages, and can also be integrated as an MCP tool into Claude Code, Codex, Cursor, and OpenCode. There is currently no follow-up development or official response.
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