# Сопутствующие статьи по теме Venture Capital

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Venture Capital", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Morning Brief | Deloitte Acquires Crypto Infrastructure Firm Blocknative; Stablecoin Firm Checker Raises $8M; a16z Likely Becomes Largest External Holder of HYPE

ChainCatcher Daily Update - May 21st Major headlines include Deloitte's acquisition of crypto infrastructure firm Blocknative, signaling further traditional finance adoption. In funding news, stablecoin infrastructure company Checker secured $8 million, while decentralized derivatives platform Variational raised $50 million in a Series A round led by Dragonfly Capital. Significant corporate moves saw Tether acquire SoftBank's entire stake in Twenty One Capital (XXI), and Mastercard pivot its strategy by investing in BVNK for stablecoin payments after abandoning Zerohash. VC giant Andreessen Horowitz (a16z) is reported to be a major external holder of HYPE, with positions exceeding $356 million. On the institutional front, MicroStrategy's CEO noted that 13 of its top 15 institutional shareholders increased their $MSTR holdings in Q1 2026, with aggregate positions growing 27%. Meanwhile, the parent company of the NYSE, ICE, announced plans to launch a futures market for AI computing power ("hashrate"). The report also features a "Meme Hot List" ranking trending tokens on Ethereum, Solana, and Base networks, and highlights several key articles. These include an analysis of renowned investor Duan Yongping's first crypto investment in Circle, concerns over talent drain and institutional selling pressure at the Ethereum Foundation, the growing business of crypto asset recovery, and an examination of the trillion-dollar potential and remaining hurdles for the tokenized asset market.

链捕手05/21 01:32

Morning Brief | Deloitte Acquires Crypto Infrastructure Firm Blocknative; Stablecoin Firm Checker Raises $8M; a16z Likely Becomes Largest External Holder of HYPE

链捕手05/21 01:32

Review of Over 30 Humanoid Robot Companies: Who Will Prevail in 2026?

This article provides an overview of the rapidly expanding humanoid robot industry, highlighting over 30 key companies and predicting which might succeed by 2026. Key companies discussed include Tesla (Optimus), which leverages its AI and manufacturing scale; Figure AI, the fastest-growing and highest-valued startup at $39B; Boston Dynamics, with 30+ years of expertise; Agility Robotics, the first to achieve commercial deployment (Digit in logistics); and Unitree Robotics, offering the most affordable humanoid (G1 at $16,000). Other notable firms mentioned are Apptronik (Apollo, focused on ROI), 1X Technologies (home-use NEO), Sanctuary AI (Phoenix with advanced hydraulic hands), and UBTech Robotics (a major commercial player). Companies from China, like Xiaomi, AgiBot, and Fourier Intelligence, are also prominent. The industry is driven by trends including price disruption (robots under $20K), AI breakthroughs in vision-language-action models, massive production scaling (Tesla targeting 1M units/year), and Robot-as-a-Service (RaaS) models. Investment is substantial, with billions from backers like NVIDIA, Jeff Bezos, Microsoft, and Amazon. The market, valued at $2.9B in 2025, is projected to reach $4-18B by 2030. The conclusion states that no single company yet dominates, with the next 2-3 years being critical for transitioning from prototypes to viable commercial products.

marsbit05/20 01:31

Review of Over 30 Humanoid Robot Companies: Who Will Prevail in 2026?

marsbit05/20 01:31

Agents Capital Markets: How Will Autonomous Agents Get Funded?

"Agents Capital Markets: How Autonomous Agents Will Raise Capital" Within a decade, specialized capital markets will emerge for AI Agents—software entities with legal personhood that perform work, earn revenue, and need capital. Unlike today's AI companies (like Sierra or Harvey) backed by traditional VC, these future *Agent companies* will be autonomous, legally-recognized entities (e.g., Wyoming memberless LLCs) that directly own assets, sign contracts, and incur liabilities. The driving forces are fourfold: 1) **Overwhelming economics** (Agent companies can deliver services at 85-90% lower cost than human firms); 2) **Proven demand** (current Agent operators already generate billions in revenue); 3) **Existing legal frameworks** enabling algorithmically-managed companies; and 4) **Massive, yield-seeking capital pools** (e.g., private credit) looking for new, uncorrelated assets. Agent capital markets won't rely on one model but a multi-layered "stack" matching different growth stages: 1) VC equity for early human-led builders; 2) Programmatic working capital advances (like Stripe Capital); 3) Revenue-based financing (RBF); 4) Slate financing (pooled funds for many Agents, similar to Hollywood); and 5) Tokenization as a secondary settlement layer, not a primary funding source. The ultimate shift is from funding constrained by human decision-makers to capital flowing algorithmically based on an Agent's auditable performance, contract book, and cash flows. This transition will be enabled by standardized infrastructure—rating methodologies, contracts, indices—turning Agents from software experiments into a foundational, financeable sector of the economy. The constraints are loosening; the opportunity is here.

链捕手05/19 05:15

Agents Capital Markets: How Will Autonomous Agents Get Funded?

链捕手05/19 05:15

A Decade's Bet on Cerebras: How the 'Wafer-Scale AI Chip' Reached NASDAQ

"Cerebras, a pioneering AI chip company, successfully debuted on NASDAQ (CBRS) on May 14, 2026, with its stock price surging approximately 68% on the first day. This marks a significant milestone following a decade-long journey, as recounted by early investor Steve Vassallo. The story begins not in 2016, but with the deep, 19-year relationship between Vassallo and founder Andrew Feldman, which started with Feldman’s previous company, SeaMicro (acquired by AMD in 2012). In 2016, Feldman and a core team of chip and system experts sought to challenge the emerging consensus. At a time when AI’s practical utility was still debated and GPUs were becoming the default hardware, they envisioned a fundamentally new computer architecture purpose-built for AI workloads. They identified memory bandwidth, not raw compute power, as the critical bottleneck for neural networks. Defying industry inertia, Cerebras pursued a radical, wafer-scale chip design—58 times larger than the biggest existing chips. This meant confronting and solving a cascade of unprecedented engineering challenges: power delivery, thermal management, and maintaining electrical continuity across tens of thousands of connections. It required reinventing nearly every aspect of modern computing—semiconductors, systems, data structures, software, and algorithms. The path was fraught with setbacks, including a prototype that caught fire on its first power-up. Progress was marked by intense, iterative problem-solving, with the board meeting every 6-8 weeks to tackle the latest technical frontier. Through disciplined perseverance and deep trust within the team, they achieved a breakthrough in August 2019 when their first wafer-scale computer successfully operated. Feldman’s drive for a 1000x leap, his formative upbringing among intellectual giants who modeled both brilliance and kindness, and his belief in building a loyal, mission-driven team were central to Cerebras’s culture. His competitive strategy was that of David vs. Goliath—finding innovative, human-centric approaches that larger incumbents would overlook. From the symbolic delivery of the first term sheet over a backyard fence in 2016 to the NASDAQ bell ringing in 2026, Cerebras’s journey is a testament to long-term vision, technical audacity, and the power of foundational founder-investor relationships. It stands as a reminder that the computing revolution can come not just from more GPUs, but from a complete reimagining of the architecture itself."

marsbit05/15 03:55

A Decade's Bet on Cerebras: How the 'Wafer-Scale AI Chip' Reached NASDAQ

marsbit05/15 03:55

a16z, The Biggest Donor Behind the US Midterm Elections

Theodore Schleifer reports for The York Times that the venture capital firm Andreessen Horowitz (a16z), along with its founders Marc Andreessen and Ben Horowitz, has become the single largest donor in the current U.S. midterm election cycle, contributing over $115 million in political funds. This massive expenditure, far exceeding the $63 million from the 2024 cycle, marks a significant shift in political funding from individual billionaires to corporate entities. A16z’s strategy involves long-term political engagement. Immediately after the 2024 election, it injected over $23 million into key crypto-focused Super PACs. Its funding is now channeled through a bipartisan network supporting its core business interests: $47.5 million to the crypto Super PAC Fairshake and $50 million to Leading the Future, a new Super PAC promoting pro-artificial intelligence candidates. The firm and its founders have also donated $12 million to a pro-Trump Super PAC. This political push is closely tied to a16z's commercial stakes in crypto and AI and reflects founders’ evolving political views, particularly Andreessen’s shift toward conservative circles. His access has grown, including an advisory role during Trump’s transition and a seat on a White House tech council. The firm’s activism has sparked internal dissent and external backlash. Critics, including progressive Democrats and some Republicans, argue it represents an attempt to buy political influence. In response, a rival "Public First" Super PAC, dubbed "z16a," has formed to counter a16z’s spending on AI policy. Despite the controversy, a16z frames its involvement as essential for fostering a pro-innovation policy environment.

marsbit05/14 03:30

a16z, The Biggest Donor Behind the US Midterm Elections

marsbit05/14 03:30

Tian Yuandong Announces Startup Venture After Leaving Meta

After leaving Meta, Tian Yuan Dong has announced his new venture. The startup Recursive_SI has officially launched with a list of founders including Tian Yuan Dong. The founding team also comprises Richard Socher (CEO), Tim Rocktäschel, Jeff Clune, Tim Shi, Caiming Xiong, and Alexey Dosovitskiy, among others. These members have experience building AI research labs at companies like Salesforce and Uber, and have held leadership roles at OpenAI, DeepMind, Google Brain, and Meta. Recursive_SI aims to develop artificial intelligence capable of conducting experiments autonomously and safely improving itself through an open-ended, automated scientific discovery process. This is seen as a promising path toward superintelligence. The company has raised $650 million at a valuation of $4.65 billion, led by GV (Google Ventures) and Greycroft, with significant investments from AMD Ventures and NVIDIA. The team has grown to over 25 members, including new additions like Zhuge Mingchen. Zhuge, a Founding Member, holds a Ph.D. in Computer Science from KAUST under Professor Jürgen Schmidhuber. His research focuses on Coding Agents, Recursive Self-Improvement (RSI), and next-generation machine paradigms, with contributions including early RSI systems like GPTSwarm and work on agentic AI frameworks. The founders shared their vision on X: building AI that can automatically discover knowledge and recursively self-improve, fundamentally changing the way science and technology advance. The team is recognized as a leader in core areas of recursive self-improving AI, with past breakthroughs in open-ended algorithms, AI-generated algorithms, automated testing, world models, Vision Transformers, RAG, and AI scientists. There is high anticipation for Recursive_SI's future research.

marsbit05/14 00:26

Tian Yuandong Announces Startup Venture After Leaving Meta

marsbit05/14 00:26

Leaving OpenAI, How Much Has Their Net Worth Increased?

Former OpenAI employees have collectively accrued near-trillion dollar valuations through ventures and investments, charting AI's future. The article highlights two main paths: founding high-value companies like Anthropic and Perplexity, or applying insider insights as investors. Leopold Aschenbrenner exemplifies the investor path. After being fired from OpenAI, he leveraged firsthand knowledge of AI's massive energy demands to make hugely successful public market bets on nuclear and fuel cell companies, practicing "cross-industry cognitive arbitrage." Other alumni, like the Zero Shot VC fund founders, use their technical foresight for early-stage investing. Their key advantage lies not just in picking winners, but in knowing which technical approaches are likely dead ends—a "veto list" derived from internal OpenAI experience. Angel investing within the network, as seen with Mira Murati and Sam Altman, operates on deep, pre-existing understanding of a founder's capabilities, reducing due diligence to near zero. This creates an ecosystem bound by a shared belief in AGI's imminent arrival, differing from networks like the "PayPal Mafia" which were built on shared past struggles. The shift of these builders to investors signals a profound conviction: their situational awareness of the AI landscape is now so clear that deploying capital based on that judgment is more efficient than building themselves. They are allocating bets on the future they helped shape from the inside.

marsbit05/13 09:06

Leaving OpenAI, How Much Has Their Net Worth Increased?

marsbit05/13 09:06

Funding Weekly Report | 14 Public Funding Events, Kalshi Completes $10B New Funding Round at $220B Valuation Led by Coatue Management

Weekly Funding Roundup: 14 Deals and $10.49B+ in Total Funding, Led by Kalshi's $1B Round Last week (5.4-5.10) saw 14 notable funding events in the global blockchain ecosystem, raising over $10.49 billion in total. Key highlights include Kalshi, a prediction market platform, securing a $1 billion round led by Coatue Management, reaching a $22 billion valuation. The platform now boasts ~2 million MAUs and $178B in annualized trading volume. In DeFi, regulated on-chain reinsurer OnRe raised $5 million in Series A funding, and Bitcoin-backed credit protocol Saturn Credit completed a $2 million seed round. For Infrastructure & Tools, OpenTrade raised $17 million to expand its stablecoin yield infrastructure, and RWA platform Balcony secured $12.7 million to deploy its property settlement service in the US. Centralized Finance saw one deal: AI-driven trading platform Stockcoin.ai completed a seed round led by Amber Group. In the prediction market sector alongside Kalshi, AI-powered platform Elastics raised $2 million. Other notable deals include SC Ventures' strategic investment in crypto market maker GSR and Centrifuge securing a "seven-figure" investment from Coinbase to become a core RWA partner for Base. On the investor side, Haun Ventures raised a new $1 billion fund targeting crypto and AI, and Multi Investment raised ~$616 million to focus on blockchain and Web3 investments.

marsbit05/11 03:15

Funding Weekly Report | 14 Public Funding Events, Kalshi Completes $10B New Funding Round at $220B Valuation Led by Coatue Management

marsbit05/11 03:15

a16z Weekly Chart: Tech Giants Rely on 'Side Hustle' Investments for Income, Great AI Products Can Sell Out in a Day

a16z Weekly Charts: Four Counterintuitive Signals in Tech 1. **Super Platforms' "Other Income"**: Amazon and Google recorded exceptionally high "other income" in Q1, largely from unrealized gains in their private investment portfolios (e.g., Amazon's Anthropic stake). This contributed to over one-third of their net profit, far above the historical 5-10%. The broader trend shows tech capital expenditure is now the primary driver of US GDP growth, accounting for 55% of all business investment. 2. **AI-Generated eBook Proliferation**: Since ChatGPT's launch, monthly eBook releases on Amazon have tripled to over 300,000, flooding the platform with AI-generated content. However, research indicates this has also increased the volume of "decent" books, providing a net gain in consumer surplus by 2025. AI tools have particularly boosted productivity for established authors. 3. **Call Center Jobs Defy AI Replacement**: Contrary to predictions, call center employment in the Philippines has grown steadily from 1.15 million in 2016 to 1.9 million in 2025, with further growth projected. In the US, customer service job postings are outperforming the overall market. The key reason: the full cost of voice AI agents remains roughly equal to human agents (~$92 vs. ~$90 per day). Cases like Klarna show initial replacement can lead to quality issues and re-hiring. 4. **Rapid Adoption of AI Mobile Apps**: AI app downloads, revenue, and user time spent on mobile nearly doubled year-over-year in Q1. The market is highly dynamic, with new products like Codex quickly surpassing incumbents like Claude Code in daily installs. In the B2B space, enterprises are using multiple AI vendors, with less than 20% relying on a single supplier, indicating no winner-takes-all dynamic yet.

marsbit05/09 04:38

a16z Weekly Chart: Tech Giants Rely on 'Side Hustle' Investments for Income, Great AI Products Can Sell Out in a Day

marsbit05/09 04:38

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