2026-06-09 Terça

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After Half a Year as a Token Broker, She Has Fallen into Every Pitfall of the Relay Station Business

Sukie, who operated an AI API "middle station" service for six months, recently open-sourced her entire setup process. Her story reveals the harsh realities of this once-lucrative but now hyper-competitive market. The core challenge is cost. Legitimate, compliant API accounts are expensive. To compete, many players resort to cheaper, high-risk sources like stolen accounts. The market has seen prices plummet from 70-80% of official rates down to 30-50%, a level unsustainable for compliant operators. Sukie believes a 70-80% price point is the minimum for healthy margins using legitimate methods. A major mistake was targeting the Chinese market while incurring USD costs. She found Chinese developers extremely price-sensitive compared to Western clients, leading to thin margins compounded by currency and payment hurdles. Operational burdens are heavy: maintaining a pool of hundreds of accounts against rising platform bans, handling detailed technical support, and managing cross-border payments and invoices for different client types. Marketing channels like X (Twitter) and referrals work best, while platforms like Douyin (TikTok) and Xianyu have poor ROI due to low intent or pricing mismatches. The landscape shifted dramatically with high-profile entrants like Justin Sun, Fu Sheng, and the Trump family. For them, the middle station is a loss leader to attract users to their primary businesses—crypto ecosystems, corporate narratives, or token promotions. This makes competing on price alone impossible for independent operators. Sukie open-sourced her methodology both as marketing and to demystify the industry. By eliminating the "black box" technical premium, she hopes to shift competition from cutthroat pricing towards service quality, stability, and compliance. Her advice: this is not a viable full-time venture for newcomers. The compliant path can't compete with grey-area discounters or ecosystem-backed giants. If already involved, focus on niche B2B, academic, or overseas markets. The middle station business, she concludes, is an entry ticket, not a destination, in the broader AI landscape.

marsbit05/09 04:48

After Half a Year as a Token Broker, She Has Fallen into Every Pitfall of the Relay Station Business

marsbit05/09 04:48

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

Musk vs. Altman: Who Will Be the 'Fisherman'?

Elon Musk and Sam Altman are locked in a fierce legal and commercial battle. Musk, a co-founder of OpenAI, has sued the company and Altman, alleging they betrayed its original non-profit, open-source mission by transforming into a for-profit entity with significant Microsoft backing, now valued at $852 billion. He demands damages, a return to a non-profit structure, and management changes. The lawsuit hinges on whether OpenAI's founding charter was a legally binding charitable trust or merely an idealistic statement. OpenAI counters that Musk himself pushed for a for-profit model in 2017 but left when he couldn't gain full control, and now acts as a commercial rival with his xAI venture. Despite the high-profile feud, the article suggests the real winners (the "fishermen") may be others in the AI race. While Musk has folded xAI into SpaceX to pursue a "space-based computing" vision, his Grok chatbot lags in market share and user growth compared to leaders. OpenAI faces its own challenges, notably from rival Anthropic, which is rapidly catching up in revenue and enterprise adoption. Musk is reportedly leasing significant computing power to Anthropic, creating an "enemy of my enemy" dynamic. Furthermore, Chinese AI models like DeepSeek are quickly closing the capability gap. Ultimately, the lawsuit is seen as setting a precedent for AI governance, but the intense competition between Musk and Altman may primarily benefit other players, infrastructure providers like Nvidia, and emerging third forces in the global AI landscape.

marsbit05/09 04:27

Musk vs. Altman: Who Will Be the 'Fisherman'?

marsbit05/09 04:27

‘TACO’ Is Outdated, Wall Street Embraces ‘NACHO’ Trading

The Wall Street trading meme "TACO" (Trump Always Chickens Out) is being replaced by "NACHO" (Not A Chance Hormuz Opens), signaling a major shift in market expectations. TACO bets anticipated de-escalation from political figures, but this pattern broke on March 23rd when a Trump social media post claiming progress with Iran was denied by Tehran, causing a sharp but temporary market reversal. Since then, markets have adopted a NACHO mindset, betting the Strait of Hormuz will remain closed for an extended period. This view is reflected in three key markets. First, war risk insurance premiums for vessels transiting the strait have skyrocketed. Second, the oil futures curve shows a steep backwardation, with near-term prices far exceeding long-dated contracts, indicating expectations for a prolonged but not permanent supply crunch. Third, Federal Reserve rate cut expectations for 2026 have been priced out to zero due to persistent oil-price inflation. While the S&P 500 continues hitting record highs, the market internally reflects NACHO's impact. The energy sector ETF (XLE) has vastly outperformed the transportation sector ETF (IYT), as high oil prices directly benefit producers but squeeze transport and logistics companies' margins. The NACHO trade has a concrete deadline. Analysts warn global commercial oil inventories could reach critical "operational pressure" levels by early June. If the strait remains closed into September, OECD stocks may fall below the operational floor. Prediction markets currently assign a very low probability to the strait reopening before June. The market has shifted from reacting to political headlines to pricing in the physical realities of oil supply and inventory clocks.

marsbit05/09 04:16

‘TACO’ Is Outdated, Wall Street Embraces ‘NACHO’ Trading

marsbit05/09 04:16

Peace Talks Hit an Impasse Again, U.S. Stocks Retreat from Highs, Can Bitcoin Hold the $80,000 Level?

Peace Talks Stalemate Sinks Stocks, Tests Bitcoin's $80K Support Optimism over a potential U.S.-Iran peace deal, which briefly propelled the S&P 500 and Nasdaq to record highs, evaporated within 24 hours. Iran dismissed key U.S. proposals regarding uranium enrichment and Strait of Hormuz access, reversing market sentiment. U.S. stocks fell, led by semiconductors and small caps, while oil prices whipsawed violently. The core narrative is a binary market bet on war or peace, creating extreme volatility. The probability of a deal by mid-May dropped to 20%. Oil (Brent) briefly crashed 12% before recovering to around $100, but a shift in its market structure hinted at ample physical supply despite geopolitical risk. Bitcoin fell roughly 1.56%, finding support near $80,000. The pullback was considered structurally healthy, backed by strong institutional inflows into U.S. ETFs and rising long-term holder conviction. Ethereum gained on positive U.S. crypto regulation hopes. In equities, major indices declined with the Russell 2000 hit hardest. The "Magnificent Seven" tech stocks were a rare bright spot, but the semiconductor sector sold off sharply. Notably, high-beta momentum stocks suffered dramatically worse losses than the broader market. Upcoming U.S. non-farm payrolls data is the next key catalyst. Treasury yields rose with oil, the dollar was steady, and gold/silver gained on a mix of inflation and safe-haven demand. European markets also fell. The situation in the Strait of Hormuz remains unresolved, keeping markets on edge.

marsbit05/09 03:43

Peace Talks Hit an Impasse Again, U.S. Stocks Retreat from Highs, Can Bitcoin Hold the $80,000 Level?

marsbit05/09 03:43

Standing Tall Through Storms, Gathering in Hong Kong to Ride the Tide | Registration Opens for Conflux Tree-Graph Digital Finance & Ecosystem Development Conference

Every technological wave quietly reshapes the world. From the steam engine to the internet and the digital economy, each has been a growth engine. Today, the convergence of blockchain, AI, and digital finance is accelerating a new transformation. Digital assets are reaching new peaks, global regulatory attitudes are clarifying, and concepts like RWA and stablecoins are scaling into real-world applications. AI Agents are beginning to participate in human production. We stand at a historic juncture where traditional and digital finance are deeply integrating, presenting clear opportunities and tangible challenges. Having operated stably for five years and connected multiple regions globally, Conflux Network continues to serve digital finance and on-chain applications. Hong Kong, as an international financial hub bridging China and the world, is seeing progressive exploration and improved frameworks for Web3 and digital finance. Leveraging Conflux's technical foundation, the Conflux Digital Finance and Ecosystem Development Summit will be held in Hong Kong from May 13 to 15, 2026. This event will foster in-depth dialogue on the future: discussing the evolution of digital financial infrastructure, the compliant implementation of RWA and stablecoins, ecosystem reshaping and on-chain governance in the age of AI Agents, and Web3 security frameworks. It will gather global scholars, entrepreneurs, investors, financial institutions, and industry representatives for cross-disciplinary exchange. On the final day, Conflux will co-host a themed salon with The University of Hong Kong to share these future-oriented discussions with the next generation. As technology moves from "usable" to "scalable," and finance evolves from "digital" to "on-chain and intelligent," industrial restructuring is underway. Whether you are a developer, researcher, entrepreneur, or an explorer curious about digital finance and Web3, we look forward to meeting you in Hong Kong.

marsbit05/09 03:06

Standing Tall Through Storms, Gathering in Hong Kong to Ride the Tide | Registration Opens for Conflux Tree-Graph Digital Finance & Ecosystem Development Conference

marsbit05/09 03:06

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