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Google 发布 Chrome 扩展 Nano Banana 与 Gemini Omni 打造可视化百科

Google AI for Developers 发布一款 Chrome 扩展,结合 Nano Banana 与 Gemini Omni,将网络内容转化为交互式视觉百科全书。该扩展在 Antigravity 中使用 Gemini 3.7 Flash 构建,用户浏览网页时高亮任意文本,即可快速生成丰富的视觉化释义,辅助深度学习。

Google launches Gemini 3.7 Flash, Gemini 3.5 Pro release date still unannounced

Google released the new AI model Gemini 3.7 Flash, but did not specify the release date for its most powerful model, Gemini 3.5 Pro, which remains affected by delays.

AI architecture company Pathway completes $30 million seed funding round, with participation from Id4 Ventures and others

Odaily News: AI architecture development company Pathway has announced the completion of a $30 million seed funding round, with participation from Id4 Ventures, TQ Ventures, Red Bridge Ventures, Kadmos Capital, and WS Investment, the investment arm of Wilson Sonsini, among others. Databricks' Chief AI Scientist Jonathan Frankle has joined as an angel investor.Pathway is developing a Bio-inspired Dynamic Hierarchical architecture (BDH), a "post-Transformer" architecture designed to overcome the limitations of current Transformer models, which continue to rely on ever-increasing data, GPUs, energy, and capital expansion. Unlike traditional large models that require periodic retraining, BDH enables continuous learning and ongoing adaptation with significantly less data.The company also announced the appointment of Adam Kurzrok, former product lead for Google DeepMind's Gemini, as Chief Product Officer. He will oversee the product direction of BDH models, covering areas such as model packaging, evaluation systems, and commercial deployment. (Finsmes)

Google Releases Pixel Watch 5: Minor Hardware Upgrades, AI and Health Features Become Core Selling Points

According to The Verge, Google has officially released the Pixel Watch 5, priced at $399, up $50 from the previous generation. Hardware updates are limited, featuring only a faster Qualcomm processor, a slightly increased battery capacity, and new Satin Pyrite colorway and Steph Curry Special Edition. The biggest highlight of this generation lies in the software front: Gemini adds an offline mode, supporting basic operations such as setting timers and launching apps in offline environments (though response speed is significantly slower in offline state). Meanwhile, Gemini will more proactively provide contextual suggestions; for example, when receiving a text message inquiring about the schedule, users can directly access Google Calendar from the wrist. Additionally, the watch face adds real-time information icons, capable of instantly displaying timers, Uber estimated arrival times, and fitness data. Pinch and wrist flip gesture controls also achieve deeper system integration with Wear OS 7.

WonderFi Founder Criticizes Canada's Innovation Environment: Struggling to Grow, Forced into Sale to Robinhood

Odaily News - Karia Samaroo, founder and former CEO of Canadian crypto company WonderFi, recently stated that the company's acquisition by US trading platform Robinhood Markets for CAD 250 million was not due to a lack of growth potential, but rather because Canada's market environment has restricted local tech companies from continuing to scale.Samaroo said that WonderFi was founded in 2021. After several years of development, the company consolidated Canada's fragmented crypto market, built a nationwide brand, and survived the QuadrigaCX collapse, the FTX crash, and Canada's strict crypto regulatory environment. By 2023, WonderFi had become a leading crypto platform in the Canadian market.However, he believes that succeeding in Canada was not the company's ultimate goal. WonderFi had originally hoped to grow into a global enterprise, and Robinhood saw WonderFi as a strategic gateway into the Canadian market, which led to the CAD 250 million acquisition. Samaroo pointed out that Canada has long faced structural issues that limit companies' ability to scale, including insufficient venture capital, weak public markets, regulatory fragmentation, and declining attractiveness of entrepreneurial returns.For the crypto industry, the challenges are even more pronounced. Samaroo noted that after the QuadrigaCX incident, Canadian regulators established one of the world's strictest crypto regulatory frameworks. While the original intent was to protect investors, it also increased operational costs for businesses. International trading platforms including Binance, OKX, Bybit, and Gemini all entered the Canadian market previously and then exited. He believes that Canada's crypto regulations are not only strict but also compounded by fragmented securities regulatory systems, leading to higher financing costs, increased operational complexity, and diminished interest from overseas investors.Samaroo said that WonderFi is not an isolated case—many Canadian tech companies have followed a similar trajectory: growing domestically until hitting market ceilings, then ultimately seeking overseas capital or strategic buyers. Shopify founder Tobi Lütke has also previously criticized Canada for repeatedly "nurturing important companies only to send them abroad." Restricting corporate sales can easily become a political statement, but the real key to solving the problem lies in building a business environment that supports companies in financing, expansion, and competing globally.Robinhood previously announced the acquisition of WonderFi for approximately CAD 250 million. This deal also reflects the accelerating consolidation in the North American crypto industry, as US platforms expand into other markets through M&A. (Fortune)

B.AI weekly benefits continue to update, 90% off API access channel launched, Qwen3.8-Max available for free

B.AI welcomes multiple major updates this week. In terms of benefits, new users can log in with one click using Bitget Wallet, Binance Wallet, or imToken wallet to immediately claim 1 million free Credits; logging in via an invitation code grants an additional 300,000, stacking with the exclusive wallet login bonus for a cumulative maximum of 1.3 million, while inviters simultaneously enjoy permanent rebates on friends' recharges and subscriptions. Recharge discounts are released simultaneously, with BNB Chain channels enjoying an exclusive 1:1 equivalent quota bonus, while other multiple payment methods enjoy a 1:0.5 bonus; a single user can receive up to $100 equivalent points. On the model side, new breakthroughs continue as the "Choose Your Own Provider" lineup expands significantly this week, adding the Nebula channel and launching historic call discounts as low as 90% off; meanwhile, Alibaba's flagship Qwen model Qwen3.8-Max officially lands on the platform and is now open for limited-time free experience. Currently, the choose-your-own-provider mode fully covers global mainstream large model series such as Claude, GPT, and Gemini; combined with recharge bonuses and multiple discount tiers, it continues to deliver extreme cost-performance computing power for global developers and enterprise users. Log in now at chat.b.ai/chat to start your journey of intelligent creation.

DeepSeek V4-Flash Dominates Competitors in Cost-Performance, Operating Costs Only 1/105 of Claude's

According to Reuters, the latest V4-Flash API model officially released by Chinese AI startup DeepSeek on July 31 incurred operating costs of only 1/105 that of Anthropic Claude Fable 5 in benchmark tests conducted by AI performance analysis agency Artificial Analysis. Regarding specific pricing, V4-Flash input token costs are $0.14 per million, and output token costs are $0.28 per million, with an average cost per test of approximately 3 cents, far lower than Wenxin Kimi K3 (86 cents), OpenAI GPT-5.6 Sol ($1.86), and Claude Fable 5 ($3.15). In terms of performance, V4-Flash scored 50 points on the Comprehensive Intelligence Index, tying with Google Gemini 3.6 Flash, but still more than 9 points lower than leading models such as Claude Opus 5 and GPT-5.6. It is worth noting that a low listed price does not equate to low actual costs—if the model consumes more inference and output tokens when generating responses, actual expenses may rise significantly.

Google launches agent Gemini Spark for AI Pro users outside the US

Google has begun rolling out Gemini Spark to Google AI Pro users outside the United States. Spark is a personal AI agent that runs 24/7 in the background, capable of handling heavy tasks based on user instructions. According to the test account Testing Catalog, the product's next major upgrade will support true MCP (Model Context Protocol), with related features already in development.

Google DeepMind Disbands Nobel Prize-Winning AlphaFold Team

According to the UK's Financial Times (FT), Google DeepMind has disbanded the development team behind the AI model "AlphaFold," which won the Nobel Prize for protein structure prediction. Most of the paper's co-authors have been reassigned to departments such as enzyme design, nuclear fusion, genomics, and Gemini-related projects within the past year; some members transferred to Isomorphic Labs, a new drug R&D subsidiary under Alphabet, while another quarter of full-time employees have left. DeepMind Vice President of Research Pushmeet Kohli stated that the company's strategy has shifted from focusing on single scientific challenges to building Gemini-based systems to support scientists and drive automation of scientific processes, while competing in frontier AI agent development with OpenAI, Anthropic, and others.

报告:菲律宾用 AI 抵御职业倦怠,新加坡用 AI 深化知识工作

据 e27 报道,谷歌发布《2026 年东南亚 Gemini 报告》显示,东南亚地区每周一专业生产力提示词使用量较平日上升 30%,AI 已深度融入职场节奏。 报告指出,菲律宾因拥有庞大的 BPO(业务流程外包)产业,客服相关提示词使用量是东南亚平均水平的近 3 倍,AI 被用于缓解客服人员的沟通压力与重复性文档工作,被称为"倦怠屏障"。菲律宾也是区域内唯一女性用户请求量超过男性的市场,写作与求职类需求尤为突出。 新加坡则以全球最高的 Gemini 人均使用率领跑,60% 的提示词来自桌面端,用户每日平均发起近 10 次交互,主要用于代码调试、数据清洗、演示文稿摘要及深度研究等知识型工作。 周末期间,东南亚整体创意与休闲类提示词上升 12%,AI 使用场景从职场延伸至个人理财、旅行规划与健康饮食等日常生活领域。

Gemini donates $10 million in Bitcoin to Trump-supporting MAGA Inc.

Cryptocurrency exchange Gemini has donated approximately $10 million worth of Bitcoin to MAGA Inc., a super PAC supporting former US President Donald Trump. According to a report filed with the US Federal Election Commission (FEC), Gemini co-founders Cameron Winklevoss and Tyler Winklevoss completed the donations in two installments on June 19, each worth over $5 million. This donation occurred about three weeks after the CFTC and Gemini jointly filed a motion with the US District Court for the Southern District of New York, seeking to vacate the $5 million settlement agreement reached in January 2025. The settlement stemmed from the CFTC's earlier allegations that Gemini had made false or misleading statements. MAGA Inc. can use these funds to support independent political expenditures for Donald Trump. Previously, the Winklevoss brothers each donated $1 million to Donald Trump's 2024 campaign and contributed $21 million worth of Bitcoin to the Digital Freedom Fund PAC to support the crypto policy direction of the Trump administration. Currently, the court has not yet ruled on the motion to vacate the settlement between the CFTC and Gemini. Meanwhile, CFTC Chairman Michael Selig remains the sole commissioner of the agency. As of June 30, MAGA Inc. has reported receiving over $397 million in funds.

Gemini Dual Models 3.6 Flash and 3.5 Flash-Lite Land on B.AI API

B.AI API has officially launched two models: Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. Among them, Gemini 3.6 Flash, as an upgraded version of 3.5 Flash, significantly improves output quality while maintaining the same pricing, with Token consumption reduced by approximately 17% on average; especially in complex DeepSWE scenarios, the reduction can reach up to 65%, greatly enhancing development efficiency and cost-effectiveness. Gemini 3.5 Flash-Lite delivers ultra-fast output of up to 350 tokens/s and ultimate cost-effectiveness, precisely meeting the demands of high-concurrency, high-real-time tasks such as document batch processing and Agentic intelligent retrieval. Currently, official API interfaces for both models are available. Developers can log in to the B.AI platform immediately to seamlessly access and experience them, enjoying the performance benefits brought by the new generation of models.

Winklevoss brothers donated $10.018 million in Bitcoin to the Trump Political Action Committee

According to CryptoSlate, U.S. Federal Election Commission documents show that Cameron Winklevoss and Tyler Winklevoss donated a total of Bitcoin worth $10.018 million to the pro-Trump super political action committee MAGA Inc. on June 19, 2026. Relevant records also show that this batch of Bitcoin was subsequently sold through Gemini; the appearance of the Gemini name in the documents does not mean Gemini made a separate donation.

Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

Google releases next-generation Gemini Flash series models, including Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber for cybersecurity scenarios.

Google announces development of "Frozen v2" dedicated AI server chip

sources familiar with the matter have revealed Google is developing a new server chip, internally codenamed "Frozen v2," which will directly integrate the architectural design of the Gemini AI model to enhance AI model operational efficiency and alleviate current computing power supply pressures. Google aims to optimize the inference process of the Gemini model through this new chip, enabling it to provide AI services to users at lower costs and higher efficiency. Industry insiders believe that if Frozen v2 successfully launches, it will further strengthen Google's independent capabilities in the AI infrastructure sector and become an important bargaining chip in its competition with Nvidia and AMD for the AI computing ecosystem. (The Information)

Apple turns to NVIDIA as M2 Ultra chip fails to meet advanced AI demands

Apple is shifting its reliance to NVIDIA GPUs to support its artificial intelligence operations, as the company's self-developed M2 Ultra chip has failed to meet expectations when running advanced AI workloads.Sources indicate that Apple previously attempted to use its own servers to run Google's Gemini model to power AI capabilities for the new Siri. However, the performance of its chips fell short of requirements, ultimately forcing the company to turn to NVIDIA GPUs deployed on Google Cloud. Additionally, the development of Apple's next-generation AI server chip, "Baltra," has been delayed, while the M7 Ultra chip, which is expected to rival the performance of NVIDIA's Blackwell architecture, is unlikely to be launched before 2029 at the earliest. (Coin Bureau)

Gemini launches zero-commission stock trading, aiming to build an "all-in-one financial super app"

crypto trading platform Gemini has announced the launch of zero-commission stock trading services in most U.S. states, further expanding its traditional financial business and moving toward the goal of becoming an "all-in-one financial super app."Gemini stated that the service is currently not available to users in Alabama, Arkansas, Illinois, Massachusetts, Texas, Puerto Rico, Washington D.C., and Guam. Real-time market data services will be provided by Nasdaq. (The Block)

GPT-5.6 rumored to be publicly available as early as July 7, Gemini 3.5 Pro may launch on July 17

Tech blogger Leo has revealed that OpenAI may make GPT-5.6 available to the public between July 7 and July 9, with the earliest possible date being July 7. The new model's plan usage quotas are said to be more generous, and OpenAI is further strengthening its safety strategies ahead of the launch.Additionally, according to sources, Google DeepMind has tentatively scheduled the release of Gemini 3.5 Pro for July 17. Another tech blogger, Astro Polo, stated that Gemini 3.5 Pro will support a 2 million token context window, doubling the 1 million token context window currently supported by Claude Sonnet 5, Claude Opus 4.8, and Claude Fable 5. This makes it more suitable for handling large codebases, lengthy documents, and long conversations.Note: The above information is based on market rumors and has not yet been officially confirmed by OpenAI or Google DeepMind.

Meituan Releases Trillion-Parameter Large Model LongCat-2.0, the First Trillion-Parameter Model to Complete Full-Process Training on a Domestic Computing Cluster

According to Meituan's official release, Meituan has officially launched the new generation large model LongCat-2.0 and open-sourced it simultaneously. The model features a total of 1.6T parameters, making it the industry's first trillion-parameter model to complete full-process training and inference on a domestic computing cluster of 50,000 cards. It natively supports 1M ultra-long context and focuses primarily on code understanding, generation, and execution in Agentic Coding scenarios. Technically, LongCat-2.0 adopts the LongCat Sparse Attention (LSA) sparse attention mechanism, reducing long text computation complexity from quadratic to linear; achieves token-level dynamic activation (33B~56B) via a zero-computation expert mechanism; and introduces the MOPD architecture to fuse three sets of expert capabilities: Agent, Reasoning, and Interaction. In terms of training efficiency, the team spent three years overcoming challenges in adapting to domestic computing power, reducing the monthly average daily failure rate by over 70%, increasing training MFU by 1.5 times, and achieving steady-state daily throughput exceeding 1T tokens/day. In terms of performance evaluation, LongCat-2.0 achieved a score of 59.5 on SWE-bench Pro, surpassing Gemini 3.1 Pro (54.2), GPT-5.5 (58.6), and Claude Opus 4.6 (57.3); and achieved a score of 79.9 on BrowseComp.

GPT-5.6 and Gemini 3.5 Pro Reportedly Delayed to July Release, OpenAI’s New Voice Model May Launch This Week

Tech blogger @synthwavedd has stated that several highly anticipated cutting-edge AI models have adjusted their release schedules. Among them, GPT-5.6, originally slated for a near-term release, has been postponed to mid-July, while Google DeepMind has canceled the planned late-June launch of Gemini 3.5 Pro due to dissatisfaction with the model’s current performance.Meanwhile, preparations for the launch of OpenAI’s new-generation bidirectional voice model, Bidi, are progressing on the ChatGPT platform, with availability to users potentially coming as early as this week. Reports indicate that Bidi supports full-duplex voice interaction, allowing users to speak simultaneously with the model and interrupt the conversation at any time, marking a significant upgrade over existing voice modes.Additionally, Anthropic has granted early access to its Claude Sonnet 5 model for select enterprise clients. As the release progress of flagship models Mythos 5 and Fable 5 has slowed, Claude Sonnet 5 is seen as an interim product solution for Anthropic to alleviate competitive pressure.