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first_img Grayscale Research Director: Generation Z starts investing at an average age of 19

Grayscale Research Director Zach Pandl published an article on September 28, 2026, in the company's column The Stack. The article states that among American investors, Generation Z starts investing at an average age of 19, Millennials at 25, Generation X at 32, and Baby Boomers at 35. Based on a retirement age of 65, Generation Z has an investment horizon of 46 years, which is over 50% longer than the 30-year horizon when Baby Boomers started investing.Zach Pandl: Starting to invest earlier not only benefits from compound interest but also expands the capacity to take on risk. When young, labor capital accounts for a larger proportion of wealth, and a longer horizon means more time to recover from fluctuations, as well as more future income available for continued saving and investing, thereby expanding the lifetime risk budget. He believes that the returns on digital assets are both volatile and potentially asymmetric, making them more suitable for longer and more flexible horizons.Zach Pandl also mentioned that for early investors, the cost of recent volatility may be less than the opportunity cost of missing out on long-term upside. With decades available for rebalancing, adding funds, and compounding across cycles, early starters may allocate a higher proportion to digital assets while keeping their lifetime risk balanced. Starting to invest earlier gives investors more time to absorb fluctuations, potentially enhancing the utility of digital assets in long-term portfolios.

first_img The number of users of generative artificial intelligence in our country has surpassed 700 million

On September 29, the Policy and International Cooperation Department of the China Internet Network Information Center released the "Generative Artificial Intelligence Application Development Report (2026)" at the "2026 (Seventh) China Internet Basic Resource Conference." The report shows that by the first half of 2026, the user scale of generative artificial intelligence in China will exceed 700 million, with a penetration rate of over 50.0%. Intelligent Q&A is the main scenario, with 76.0% of users using it to answer questions, while the proportions of users handling images or videos, text, work summaries, meeting minutes, and PPTs are 47.8%, 37.6%, and 32.5%, respectively.The usage of applications such as AI comprehensive assistants and AI efficiency office tools has increased by over 100% year-on-year. 38.7% of internet users have purchased smart hardware online in the past six months, with the purchase ratios of smart wearable devices, smartphones, and tablets being 20.2% and 18.2%, respectively. By June 2026, China's intelligent computing power scale reached 2185 EFLOPS, a year-on-year increase of 177%, and the first domestically produced 100,000 card artificial intelligence supercluster was officially put into use.Deep Exploration, Dark Side of the Moon, and others have successively released multiple trillion-parameter open-source large models, and more than 120,000 high-quality datasets have been established. The application penetration rate of artificial intelligence technology among large-scale manufacturing enterprises has exceeded 30%. In the first half of 2026, there were over 400 humanoid robot complete products, and the total annual production is expected to exceed 100,000 units. During the same period, there were 1,255 instances of investment and financing related to artificial intelligence, totaling approximately 250.14 billion yuan, reaching 78.0% and 182.0% of the total for the entire year of 2025, respectively.

Xiao Hong, the founder of General Intelligence Manus, stated that preparations for a domestic version are underway

The founder of the general-purpose intelligent agent Manus, Xiao Hong, stated that when Manus was born, Codex and Claude Cowork had not yet appeared in the market, and the product positioning has always been a general-purpose intelligent agent. He likened Manus to a computer-selling business, believing that users may primarily purchase computers for work, but if they cannot watch videos or play games, the experience will be quite limited; therefore, it should not be confined to office tasks.Xiao Hong indicated that videos and games are important scenarios for unleashing creativity, which need to be perfected through the local client Manus Studio. The related videos for Cue are entirely produced by Manus Studio, without using video generation models; instead, the agent first writes the code, which is then converted into video. With the help of cloud computers, Manus can also create online games that support user participation with friends.In terms of infrastructure, Manus cloud computers can provide cloud-based Linux, Mac, and Windows environments. Xiao Hong stated that when the agent operates the computer in the cloud, it will not compete with the user for the local mouse cursor, and he anticipates that individuals will be able to control large-scale computing clusters in the future to satisfy curiosity and conduct experiments and explorations in fields such as mathematics and science. He also described Cue as having an independent phone number, email, payment capability, computer, and sufficient intelligence, and stated that if such agents could be regarded as humans, there might be more changes in upper-level interactions. Xiao Hong mentioned that building product experiences in an overseas open ecosystem is relatively easier, and Manus is actively preparing a domestic version.

first_img Google Vids Free Open 1080p AI Video Generation

On September 23, Google announced that any user with a Google account can generate 1080p HD videos for free in its browser-based video editor Google Vids, accessible at vids.new. This feature is based on the Gemini Omni 1.1 Flash model and can transform text prompts, photos, audio, or existing clips into new videos. Previously, such generative capabilities mostly required a paid subscription to use.Google has also added several editing controls that previously required paid tools: scene extension can lengthen clips while maintaining consistency in lighting, characters, and scenes; users can set precise clip durations to align with scripts or voiceovers; and old AI clips with lower resolutions can be upgraded to 1080p without needing to regenerate. Each video segment generated by this tool embeds Google DeepMind's SynthID invisible watermark, which is not visible to the naked eye but can be read by machines. Users can check whether a segment was generated by AI using the SynthID Detector.The free quota varies by account type: personal Google accounts receive a standard quota, paid AI packages can unlock more, and Workspace Business and Enterprise subscribers receive a larger generation pool and team management controls. Gemini Omni will be launched as a paid feature for Google AI Plus, Pro, and Ultra subscribers in May 2026, with free access previously limited to YouTube Shorts and YouTube Create.

The average age for Generation Z in the United States to start accumulating wealth is 19, with nearly half paying more attention to cryptocurrency

The 2026 Wealth Survey by U.S. Bank shows that the average American Generation Z starts accumulating wealth at 19 years old, significantly earlier than previous generations. The survey covered 5,000 American adults aged 18 and older. Generation Z consciously begins to build wealth on average at 19, including investing, saving for retirement, or long-term savings, which is 6 years earlier than the average age of 25 for Millennials, 10 years earlier than 29 for Generation X, and 13 years earlier than 32 for Baby Boomers.Despite starting earlier, 56% of Generation Z believe they are doing everything right but have not achieved their expected financial situation, 62% report difficulty in making financial progress, and 49% have paused or plan to pause their investments. 62% of Generation Z and 61% of Millennials believe that the stock market is a more realistic path to wealth than buying a home, with the percentages for Generation X and Baby Boomers being 51% and 45%, respectively. About 47% of Generation Z obtain financial information through social media, and nearly half of young people are more interested in emerging options like cryptocurrency, but most still believe that traditional investments are the best way to achieve long-term goals. About 70% of parents have provided or plan to provide assistance for their children's significant milestones.

first_img The on-chain derivatives protocol Variational has scheduled the $VAR TGE for the fourth quarter of 2026, with the genesis allocation accounting for 32%

The on-chain derivatives protocol Variational announced that the Token Generation Event (TGE) for the token $VAR is scheduled for the fourth quarter of 2026. The initial token distribution includes 32% genesis allocation, 18% ecological reserve, and 50% for team and investor shares. The genesis tokens will be airdropped according to the proportion of Variational points held and will be 100% unlocked at TGE; the ecological reserve will be retained by the Variational Foundation for ecological growth and distributed at its discretion.The team and investor tokens will be locked for 12 months after TGE, followed by a minimum unlocking period of three years. Team members are also subject to individual vesting arrangements, and the specific shares for both parties will be announced before TGE. Variational stated that it plans to use all revenue directed to the treasury for the repurchase and destruction of $VAR. Weekly point distribution will continue until TGE, with 150,000 points distributed each week; accounts must hold at least 1 point to qualify for signing terms and receiving the genesis allocation, and any unclaimed portion will be destroyed.Variational originally planned to end the points program in the third quarter of 2026 and subsequently launch $VAR, but this timeline has been delayed due to significant strategic partnerships. In the final weeks before TGE, the project will conclude private testing, launch Omni on the public mainnet, expand exchange functions, and release trading APIs, while also announcing details on repurchase and token usage, and disclosing the impact of new partnerships on Omni, Pro, and traditional financial markets on-chain when conditions permit.

first_img Anthropic: Claude identifies new enzyme systems, gene editing stocks decline

On Wednesday local time, Anthropic announced that its model Claude identified a previously undescribed enzyme system in vast DNA sequence data, with a repetitive sequence arrangement similar to CRISPR. This is the first achievement of its newly established biological laboratory, which was formed this spring and is located in the San Francisco Bay Area. Following the announcement, shares of gene editing companies fell on Wednesday, with CRISPR Therapeutics down 5.54%, Beam Therapeutics down 6.02%, and Prime Medicine down 11.58%.The related task was to search for noteworthy reverse transcriptase systems from large DNA databases. During approximately 21 hours of searching, about 950 Claude agents used around 210 million tokens, with one agent noticing a repetitive DNA sequence arranged near a certain reverse transcriptase gene. The team named this combination the array-associated reverse transcriptase system, primarily found in bacteriophages, which includes reverse transcriptase genes, adjacent accompanying genes, and a set of repetitive DNA sequences. The reverse transcriptase itself has been studied before, and the new finding is that it forms a system together with surrounding non-coding DNA sequences and functionally unknown accompanying proteins.Anthropic stated that researchers still do not know the main function of this system and have not proven that it can perform targeted modifications to DNA like mature gene editing tools. Preliminary experiments found that these repetitive sequences can produce various short RNAs, but this does not equate to having programmable gene editing capabilities. The preprint paper disclosed that to verify whether the discovery could be repeated, the team ran the same search 10 more times;

first_img Samsung Electronics adjusts the next-generation DRAM roadmap, naming B1b as D0a

According to a report by ZDNet Korea, Samsung Electronics is adjusting its next-generation DRAM strategy by incorporating the previously project-based B1b into its official roadmap, naming it the first DRAM D0a below 10 nanometers. Previously, D0a referred to vertical transistor DRAM, and this product is now classified separately as D0a-V. This renaming aims to accelerate the introduction of advanced packaging in general DRAM.B1b will manufacture storage cells and peripheral driver circuits on different wafers before bonding them together, using wafer-to-wafer hybrid bonding and directly connecting through copper interconnects. The currently commercialized DRAM is 1c, which is the 6th generation 10 nanometer level, with a line width of about 11 to 12 nanometers; the next generation 1d is the 7th generation 10 nanometer level, with a line width of about 10 to 11 nanometers, considered effectively the last 10 nanometer level product, with the related line width being a marketing term rather than an actual physical size. Vertical transistors can arrange transistors within the cell vertically, reducing the cell area from 6F² to 4F², but they need to address high aspect ratio etching and leakage current, making development more challenging. Wafer-to-wafer hybrid bonding has already been mass-produced in CMOS image sensors and high-stacking NAND.Samsung Electronics is evaluating the use of B1b for the 8th generation high bandwidth memory HBM5. HBM5 is expected to be mass-produced around 2029, aiming to increase operating speed by more than 50% compared to HBM4E. Industry estimates suggest that D0a DRAM based on B1b will be commercially available in about two years, with specific mass production investment schedules likely to be determined by mid-next year.

X-Agent releases the latest white paper: Let AI move from "generating content" to "execution and trading"

AI Agent Onchain Operating System (AI Agent Onchain OS) X-Agent has released its latest white paper, which introduces its product architecture, MCP ecosystem, business model, and application scenarios of $XAGT.The white paper points out that the next stage of the AI industry is not just about generating text, images, or code, but about enabling Agents to understand user intentions, invoke tools, execute tasks, and complete transactions. Centered around the concept of "Speak to Build, Share to Connect," X-Agent allows users to create AI Agents with context, memory, skills, API, and wallet connection capabilities through natural language, without the need to write code.In terms of business model, X-Agent aims to establish a complete link for Agent creation, MCP capability access, distribution, payment, and monetization. Developers can package APIs, data, and professional services as MCP capabilities and earn income through per-call, subscription, or transaction commission.The $XAGT token is planned to be used for computing fees in secure operating environments, LLM and API calls, Agent transaction settlements, MCP service payments, Premium Agent template purchases, and developer deployments. In the future, it will also expand to scenarios such as service staking, multi-Agent settlements, and ecological governance.According to the project team, X-Agent currently has over 1 million registered users, has completed more than 1.1 million autonomous tasks, and the consumption of LLM Tokens has exceeded 84 billion. In the future, the project will also promote Super-Agent, enterprise sandbox, decentralized Agent Store, and multi-Agent collaboration systems.Through this white paper, X-Agent hopes to further clarify its long-term direction: to enable anyone to create Agents through language, allowing Agents to truly possess the capabilities for execution, distribution, payment, and continuous commercialization.

Pre-market data: Cryptocurrency concept stocks generally rose, MSTR increased by 5.78%

During the traditional market's weekend closure, the perpetual contract types of stocks in the exchange may have already priced in the market conditions. According to RootData, cryptocurrency concept stocks have generally surged significantly in pre-market trading:Strategy (MSTR) contract is currently priced at $162.81, up 5.78% from the last trading day's official closing price of $153.92;Coinbase (COIN) contract is currently priced at $201.47, up 3.72% from the last trading day's official closing price of $194.25;Circle (CRCL) contract is currently priced at $95.06, up 3.57% from the last trading day's official closing price of $91.78;Robinhood (HOOD) contract is currently priced at $123.95, up 3.45% from the last trading day's official closing price of $119.82;AMD (AMD) contract is currently priced at $577.46, up 3.15% from the last trading day's official closing price of $559.82;Micron Technology (MU) contract is currently priced at $1,040.67, up 2.45% from the last trading day's official closing price of $1,015.80;Meta (META) contract is currently priced at $682.04, up 2.45% from the last trading day's official closing price of $665.75;Tesla (TSLA) contract is currently priced at $370.73, up 1.77% from the last trading day's official closing price of $364.27;SanDisk (SNDK) contract is currently priced at $1,821.27, up 1.64% from the last trading day's official closing price of $1,791.82;NVIDIA (NVDA) contract is currently priced at $224.96, up 1.21% from the last trading day's official closing price of $222.27;
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