# Future Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Future", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

The founder of Baixing Wang states that while large language models (LLMs) are an extremely important foundational technology—akin to electricity or the internet—he only "half believes" the notion that they will "consume everything." He argues that LLMs provide a base layer of intelligence, but real-world value and transformation come from integrating this intelligence into specific applications and devices designed for particular scenarios—like how electricity powers various appliances from washing machines to TVs. He agrees LLMs will likely consume or replace a significant portion of existing rule-based, workflow-driven software (e.g., many SaaS systems, CRMs), as these are precisely what LLMs excel at handling. However, numerous other elements—such as customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions—will not be consumed. Wang emphasizes that after LLMs absorb certain software layers, they will open up a much larger space for innovation: new types of "streaming" software with less rigid interfaces, where fixed rules are managed by AI. This next wave of applications built on top of the stable LLM foundation is where the true mainstream opportunity lies. He cautions against the short-sightedness of declaring any technology as all-consuming, drawing parallels to past premature predictions about internet giants monopolizing the web. The key is to find opportunities within the areas LLMs do transform.

链捕手07/07 13:48

Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

链捕手07/07 13:48

Hinton Praises, Gemini Core Contributor Speaks: In the Future, There Will Be Billions of Superhuman AI Einsteins

In his speech "Training Sand to Think: Artificial General Intelligence & Future of Physics," Adam Brown, a core contributor to Gemini, outlines the rapid and transformative evolution of AI. He describes how large language models (LLMs), grown rather than programmed through pre-training and fine-tuning, have progressed from performing poorly on high-school math tests to achieving gold-medal level at the International Mathematical Olympiad and recently making a genuine mathematical breakthrough by disproving a decades-old conjecture. Brown attributes this acceleration to the "Scaling Law," where predictable performance gains come from increasing compute, data, and model size. He draws parallels to the history of chess AI, predicting a similar trajectory for scientific research: moving from tools to "centaur" human-AI collaboration, and eventually to autonomous, superhuman "AI scientists." Even if progress halted today, AI already reshapes physics as a tireless tutor, powerful programming assistant, and exhaustive literature reviewer. However, Brown argues progress will continue due to immense economic runway and technical optimizations. He envisions a near-future golden age of human-AI collaboration in science, potentially leading to billions of replicated, superhuman AI researchers, making the coming years the most exciting in physics' history.

marsbit07/04 06:40

Hinton Praises, Gemini Core Contributor Speaks: In the Future, There Will Be Billions of Superhuman AI Einsteins

marsbit07/04 06:40

But Bin's Latest Speech: Do Not Miss Out on a Great Era

Dan Bin's Latest Speech: Don't Miss a Great Era On June 29th, Dan Bin, Chairman of Dongfang Harbor (东方港湾), delivered a keynote speech titled "Don't Miss a Great Era" at the "2026—All in the Silicon-based New Epoch" Mid-Year Strategy Summit. Addressing concerns about an AI bubble, Dan Bin argued from an industrial cycle perspective that "the risk of missing an era may be greater than worrying about short-term bubbles." He views humanity as standing at the dawn of the AI era, which could be more disruptive than the electronics, internet, and mobile internet eras. He posits that the AI wave is unlikely to end in just three or four years. Using the internet era's decade-long rhythm as a reference point—with ChatGPT's late 2022 launch as the starting line—a key risk assessment window may only arrive around 2033. Dan Bin emphasized that technological progress is the primary driver of long-term capital market growth, while factors like trade wars or interest rate hikes are secondary. Expanding to a civilizational scale, Dan Bin presented a thought experiment on silicon-based life potentially supplementing or succeeding carbon-based life as a direction for extending Earth's civilization, especially over cosmic timescales spanning billions of years. On geopolitics, he noted that AI is already rewriting warfare rules, as seen in conflicts like Ukraine, and that neither the U.S. nor China can afford to lose the AI race, with each leveraging different strengths. Reflecting on investment lessons, Dan Bin cited Warren Buffett's and Charlie Munger's admitted "regrets" about missing major tech opportunities like Microsoft, underscoring the need for continuous cognitive evolution. His firm, Dongfang Harbor, is deepening its research in foundational AI areas like computing power and storage. Dan Bin concluded by urging investors to maintain a long-term perspective, embrace the epochal shift, and rationally hold onto the opportunities presented by this transformative age. He closed with a poetic reminder: "The tide never turns back... Born in this time is a great fortune in itself. Don't let hesitation trap your steps, nor short-sightedness waste the years—do not miss this magnificent era that belongs to us."

marsbit07/02 15:16

But Bin's Latest Speech: Do Not Miss Out on a Great Era

marsbit07/02 15:16

Female Billionaire Becomes a VC

The article details how Zhou Qunfei, founder and chairwoman of Lens Technology and once China's "richest woman," has entered the venture capital (VC) space. Zhou's recent investment in the embodied AI unicorn Kuawei Intelligent, contributing several hundred million RMB from her personal funds, brought her VC activities into focus. Her investment vehicle, Changsha Qunxin Investment, has made 17 investments, targeting semiconductor and hard tech companies like ChipOne Technology. Meanwhile, Lens Technology, her listed company, has made strategic bets this year on AI startups such as BrainCo, Xinghai Tu, Qingtian Zu, and Pudu Robotics. Zhou's own story is one of remarkable ascent. Starting as a migrant factory worker in Shenzhen, she built Lens Technology into a powerhouse supplying glass for major tech clients like Apple, with a market cap surpassing 300 billion RMB. Her move mirrors a broader trend among China's self-made industrial tycoons. Figures like Liu Yi of iHealth Labs (an investor in DeepSeek) and Zhu Xingming of Inovance Technology are similarly redirecting family offices and corporate capital away from traditional sectors like real estate. Instead, they are placing strategic bets on frontier technologies—AI, embodied intelligence, brain-computer interfaces, and nuclear fusion—effectively funding China's next wave of technological innovation.

marsbit07/02 09:49

marsbit07/02 09:49

arXiv Breaks Away from Cornell, Officially Takes Flight on Its Own

arXiv, the widely used preprint server, has officially spun off from Cornell University as of July 1, becoming an independent nonprofit organization named arXiv, Inc. Registered in Delaware with 501(c)(3) tax-exempt status, this move ends its 25-year affiliation with Cornell. The new entity will be governed by a board of up to 12 members, with the Simons Foundation and Cornell University serving as founding members for the first five years. Ramin Zabih, a Cornell professor, will serve as interim CEO during the transition. All 26 staff members have transferred to the new organization, and operations—including free access to papers—are expected to remain unchanged for users in the near term. Founded in 1991 by physicist Paul Ginsparg, arXiv hosts over 3.09 million preprints across physics, mathematics, computer science, and other fields, facilitating rapid dissemination of research. Key motivations for independence include financial pressures—arXiv faced a deficit in 2025—and the need for greater operational flexibility to address challenges like the surge in AI-generated submissions. The platform remains committed to its free-access model but will explore broader funding avenues as a standalone entity.

marsbit07/02 09:43

arXiv Breaks Away from Cornell, Officially Takes Flight on Its Own

marsbit07/02 09:43

Web3 Bear Market Survival Guide: Ten Great Books to Help You Navigate the Cycles

"Web3 Bear Market Survival Guide: Ten Books to Help You Navigate the Cycle" This article presents a curated book list aimed at helping Web3 enthusiasts and professionals endure and grow during crypto market downturns. It argues that bear markets are not just periods of waiting but crucial times for deepening one's foundational understanding beyond technical whitepapers and price charts. The ten recommended books offer perspectives on technology, economics, philosophy, and strategy to build resilience and long-term vision. The list includes: 1. **"The Inevitable" by Kevin Kelly:** For using a long-term technological lens to combat uncertainty about the future, including the role of crypto and AI. 2. **"Human Action" by Ludwig von Mises:** To upgrade one's economic and philosophical framework, understanding action, speculation, and calculation in a bear market context. 3. **"The Nature of Technology" by W. Brian Arthur:** For viewing blockchain and crypto as combinatorial evolutions of existing technologies, understanding their modular and economic development. 4. **"The Distant Savior" (Chinese novel):** Explores the cultural attributes of self-reliance ("strong culture") versus dependency ("weak culture"), crucial for surviving industry cycles. 5. **"The Sovereign Individual" by James Dale Davidson & Lord William Rees-Mogg:** A prophetic 1997 work on how technology empowers individuals and challenges nation-states, foreshadowing Bitcoin's emergence. 6. **"Japanization: What the World Can Learn from Japan's Lost Decades" (Adapted title):** Uses Japan's economic history as a case study to identify structural opportunities that persist even during broader recessions. 7. **"Denationalisation of Money" by F.A. Hayek:** The ideological blueprint for Bitcoin, arguing for competitive currency issuance beyond state monopoly. 8. **"Duan Yongping Investment Q&A" (Chinese compilation):** Emphasizes the simple discipline of "doing the right things and doing things right," focusing on fundamentals and maintaining a "stop doing list." 9. **"The Network State: How To Start a New Country" by Balaji Srinivasan:** A visionary text from a crypto insider outlining bold predictions and concrete ideas for a blockchain-based future across media, governance, and identity. 10. **"Selected Works of Mao Zedong" (Vol. 1):** Analyzed as a strategic playbook for a weak force challenging a powerful establishment, offering lessons on strategy, alliance-building, and perseverance for the crypto movement. The conclusion states that bear markets filter out those with weak conviction, not weak skills. Survival depends on cognitive depth and mental fortitude, which these books aim to provide.

Foresight News07/01 03:00

Web3 Bear Market Survival Guide: Ten Great Books to Help You Navigate the Cycles

Foresight News07/01 03:00

Lao Huang: Prompt is Dead, the Entire AI Community is Frenziedly Chasing Loops

The article "Prompt is Dead: The AI Industry is Obsessively Chasing Loops" discusses a major shift in AI development, where "Loop Engineering" is replacing traditional prompt engineering. Industry leaders like NVIDIA's Jensen Huang, Andrew Ng, and engineers from Anthropic and OpenAI argue that manually crafting prompts is becoming obsolete. Instead, the new focus is on designing autonomous, self-improving AI systems (loops) that can operate 24/7. A loop system typically involves five key phases: Discovery (finding tasks), Handoff (assigning to agents), Validation (critical independent review), Persistence (saving progress), and Scheduling (automated operation). The core idea is to move humans from being the operational "engine" to being the system "architects" who design the loop, define goals, and set up verification mechanisms. A major challenge and necessity is implementing robust, independent validation to prevent AI from uncritically approving its own work. The trend is seen as part of a move towards "inference-time compute," where allocating computational budget effectively becomes a key engineering skill. While loops can produce higher-quality outputs, they are more expensive and time-consuming than simple prompting. The article warns of risks like "verification debt," "comprehension corrosion," and "cognitive surrender," where engineers might stop understanding the code their systems generate. Ultimately, the article concludes that in an era of automated loops, human judgment and oversight remain the most critical and scarce resources.

marsbit06/29 08:37

Lao Huang: Prompt is Dead, the Entire AI Community is Frenziedly Chasing Loops

marsbit06/29 08:37

Dan Koe's New Article: Escape the Fate of the Wage Slave, How to Survive in the Tide of AI Replacement?

Dan Koe's article argues that the real threat in the AI era is not technology itself, but financial dependency on employers. He critiques the "wage slavery" of unfulfilling work and identifies five core skills for resilience: agency, taste, persuasion, persistence, and iteration. These are developed not by consuming content, but by starting your own venture. The key to escaping the "employee mindset" is a radical identity shift. This requires: 1) Drastically changing your environment and daily inputs, 2) Choosing a creative medium (like content or code) that provides real-world feedback through trial and error, and 3) Using that feedback to learn and adapt. Koe strongly advocates for content creation over coding for beginners, as it builds irreplaceable subjective taste and audience connection. The practical starting point is a 15-minute self-inquiry to define your "life's work." Answer: What do you know deeply? What innate abilities do you have? What childhood interests were suppressed? Then, identify your contrarian beliefs—what does the mainstream get wrong in your area? The overlap is your unique direction. The final, non-negotiable step is to publish your first piece of content tomorrow. Embrace that it will be bad; the goal is to enter the feedback loop of creation, learning, and iteration, which is the true path to independence.

marsbit06/24 05:33

Dan Koe's New Article: Escape the Fate of the Wage Slave, How to Survive in the Tide of AI Replacement?

marsbit06/24 05:33

Interview with Morgan Stanley Digital Asset Strategy Head: Bitcoin Hitting $1 Million Isn't Impossible, But I Hope It Slows Down

In an interview with Morgan Stanley’s Digital Asset Strategy Head Amy Oldenburg, she discussed Bitcoin’s evolution from an emerging technology to a mainstream financial asset. Oldenburg highlighted Bitcoin’s early appeal in emerging markets, where unreliable banking systems drove adoption of decentralized alternatives. Despite institutional interest, regulatory constraints and risk-averse financial advisors have slowed broader adoption. She noted that Bitcoin's price has largely consolidated since Morgan Stanley recommended it, dampening advisor enthusiasm. Oldenburg believes Bitcoin could reach $1 million but prefers a gradual, stable ascent rather than a speculative spike. She emphasized the need for better investor education and infrastructure development, while acknowledging the tension between Bitcoin’s decentralized origins and its integration into traditional finance through vehicles like ETFs. Looking ahead, she envisions steady growth and increased utility for Bitcoin, driven by evolving technology and market maturity.

marsbit06/16 11:26

Interview with Morgan Stanley Digital Asset Strategy Head: Bitcoin Hitting $1 Million Isn't Impossible, But I Hope It Slows Down

marsbit06/16 11:26

Ethereum Reaches the Milestone of One Million Developers, Sharplink CEO Delves Deep into Ethereum's Future Possibilities

Ethereum Surpasses One Million Developers Milestone: A Look at Its Unshakeable Dominance and Future Joseph Chalom, CEO of Sharplink, reflects on his recent Asia trip where he engaged deeply with Ethereum developers and ecosystem leaders. The most striking takeaway was not just the industry's vibrancy, but the rigorous, long-term vision of local builders. This context brings to life a pivotal statistic: Ethereum has now surpassed one million cumulative developers (1,012,824), with approximately 232,000 remaining active in the past year—a talent pool unmatched by any other crypto ecosystem. The critical question isn't which blockchain is fastest, but where top developers choose to build long-term. Ethereum's answer is unequivocal. Its decade-long lead stems from a unique convergence of technology, institutional culture, economic systems, and composability, cementing its role as the foundational operating system for programmable finance. This massive developer base is tackling the industry's hardest problems, continuously strengthening Ethereum's moat. Key initiatives include: * **The Glamsterdam Upgrade (planned 2026):** Introducing ePBS and Block-level Access Lists for parallel execution and higher throughput while preserving core values like credible neutrality and fair MEV distribution. * **Synchronous Composability:** Projects are working to enable atomic transactions across dozens of Rollups, making them function as one unified chain and eliminating ecosystem fragmentation. * **Post-Quantum Security:** Ethereum is far ahead in preparing for quantum computing threats, with a dedicated foundation working group and testnets targeting a full migration by ~2029—a crucial factor for institutional adoption. Beyond developers, Ethereum's core network effects are its unparalleled composability and unified standards (like EVM and Solidity), which create a powerful flywheel: more developers → better tools → greater liquidity → more institutional participation. Its other decisive advantages include credible neutrality (over 900k validators), a secure modular architecture with interconnected Rollups, and a deeply entrenched culture shaped by top-tier researchers. Ultimately, there's a vast difference between generating short-term activity and becoming the trusted, long-term coordination layer for global native finance. Major institutions prioritize security, trust, and liquidity—areas where Ethereum holds dominant mindshare. The industry's trajectory shows resources consolidating around unified standards, deep liquidity, and developer consensus. After meeting the builders in Seoul and Hong Kong, Chalom is more convinced than ever: Ethereum's unshakeable future is being built right now.

Foresight News06/16 08:10

Ethereum Reaches the Milestone of One Million Developers, Sharplink CEO Delves Deep into Ethereum's Future Possibilities