2026-06-08 Segunda

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Wall Street Institutional Holdings Exposed: Jane Street Bitcoin ETF Positions Slashed by 71%, JPMorgan Chase Increases Holdings by 174%

Q1 2026 US institutional 13F filings reveal diverse crypto strategies amid a bearish market. Bitcoin fell ~23.8% for the quarter, with spot ETFs seeing net outflows. Key highlights: Jane Street slashed its iShares Bitcoin Trust (IBIT) holdings by 71%, shifting focus to Ethereum ETFs (e.g., doubling iShares Ethereum Trust holdings) and adding stocks like Galaxy Digital and Riot Platforms. Conversely, JPMorgan aggressively increased Bitcoin ETF exposure, boosting IBIT by 174% and other Bitcoin funds by up to 3000%, while initiating a position in a Solana ETF and clearing its XRP ETF. Wells Fargo built Ethereum ETF positions despite sector outflows. BlackRock increased holdings in crypto-correlated stocks like MicroStrategy (MSTR) and Bitmine (BMNR). Its on-chain Bitcoin holdings grew, though its total crypto portfolio value shrank due to price declines. ARK Invest notably increased its stake in Circle (CRCL), emphasizing the stablecoin infrastructure narrative. Institutions displayed three key trends: 1) Growing interest in Ethereum as infrastructure. 2) Divergent Bitcoin strategies (long-term allocation vs. tactical trading). 3) Broader adoption of crypto-related equities. Market sentiment improved in April, with Bitcoin ETF inflows hitting a six-month high as Bitcoin recovered above $80,000. More major institutional filings are pending.

链捕手05/15 11:07

Wall Street Institutional Holdings Exposed: Jane Street Bitcoin ETF Positions Slashed by 71%, JPMorgan Chase Increases Holdings by 174%

链捕手05/15 11:07

Q1 Wall Street Institutional Holdings Revealed: Jane Street Slashes Bitcoin ETF Position by 71%, JPMorgan Increases Holdings by 174%

Wall Street's Q1 13F filings reveal divergent strategies among major institutions regarding crypto exposure amid a broad market downturn. Bitcoin fell nearly 24% in Q1, with total crypto market cap down 20.4%. Key moves include Jane Street sharply reducing its Bitcoin ETF holdings (cutting IBIT by 71%) while significantly increasing its Ethereum ETF positions and building a new stake in Galaxy Digital. In contrast, JPMorgan Chase aggressively bought the dip, increasing its IBIT holding by 174% and boosting stakes in other Bitcoin ETFs, while initiating a position in a Solana ETF and clearing its XRP ETF. Wells Fargo increased its Ethereum ETF exposure by over 60% despite outflows from the asset class, while nearly exiting its Galaxy Digital position. BlackRock continued buying Bitcoin on-chain (adding ~15,000 BTC) and increased its holdings of crypto-correlated stocks like MicroStrategy and Bitmine, though its overall crypto portfolio value shrank due to price declines. ARK Invest notably increased its bet on Circle, highlighting institutional interest in the stablecoin infrastructure narrative. The filings signal three trends: growing institutional interest in Ethereum for long-term infrastructure plays, strategic differences (not bearishness) driving Bitcoin positioning, and crypto-equities becoming a core, though contested, allocation (e.g., mixed views on Galaxy Digital). The Q1 accumulation by some institutions appears validated in Q2, with Bitcoin rebounding above $80,000 and spot Bitcoin ETFs seeing renewed net inflows.

marsbit05/15 11:07

Q1 Wall Street Institutional Holdings Revealed: Jane Street Slashes Bitcoin ETF Position by 71%, JPMorgan Increases Holdings by 174%

marsbit05/15 11:07

TechFlow Intelligence Brief: South Korean Stock Market Plunges, Trump's Q1 Holdings Revealed

This TechFlow intelligence report covers key developments across AI, crypto, hardware, tech companies, and finance. In AI, Anthropic's valuation surpasses OpenAI, while AWS users face massive bills from runaway Claude API calls, highlighting AI's cost risks. A local AI model executing 'rm -rf' sparks safety debates. Meanwhile, arXiv enforces bans for AI-generated paper errors, and ChatGPT's impact on education grading is questioned. The crypto sector sees a US Senate committee passing a market structure bill, $2B in Bitcoin options expiring, and debates on Bitcoin's seizure resistance and DeFi's value without stablecoin yields. Hardware news includes NVIDIA planning RTX 5090 price hikes and the US approving H200 chip sales to Chinese firms. Tech company updates feature a macOS M5 chip exploit, Apple's iPhone price cuts, a South Korean stock market plunge, and Cisco's record revenue alongside layoffs. In stocks, NVIDIA's market cap hits $5.7T as Trump's Q1 portfolio shifts toward AI infrastructure stocks like NVIDIA and Broadcom. Cerebras' IPO soars, and a Reddit user reports massive gains on a leveraged ETF, fueling discussions on an AI bubble. Macro developments show precious metals falling due to Indian tariff hikes and strong US data. The Iran conflict disrupts Hormuz Strait shipping, affecting oil supplies. New tech includes 'haptic dreaming' to improve robot task success and Meta's Ray-Ban Display glasses with virtual handwriting. The underlying theme is AI's dual reality: creating both massive unexpected costs and immense market valuations. As technology advances rapidly, academia, markets, and regulators are all grappling to find a new equilibrium between innovation, risk, and control.

marsbit05/15 10:59

TechFlow Intelligence Brief: South Korean Stock Market Plunges, Trump's Q1 Holdings Revealed

marsbit05/15 10:59

Anthropic Has Taught Models to Understand Morality and Opened a New Path for Distillation

Anthropic's research "Teaching Claude Why" reveals a new, data-efficient method for AI alignment. Instead of relying on massive reinforcement learning with punishment (RLHF), which only teaches models to mimic safe answers without true ethical understanding, they used a small dataset (3 million tokens) of "difficult advice." This data consisted of detailed moral deliberations, reasoning, and debates, teaching the model the *why* behind decisions. The key was "deliberation-enhanced" Supervised Fine-Tuning (SFT). The model was trained on responses that included a "chain of thought" (CoT) process based on a constitutional framework. This framework included top-level principles, practical heuristics (like the "1000-user test"), and an 8-factor utility calculator (evaluating harm probability, reversibility, consent, etc.) for weighing complex trade-offs. This approach dropped model misalignment rates from 22% to 3% and showed strong generalization to unseen scenarios. The success challenges the old belief that "SFT memorizes, RL generalizes." It shows that SFT can generalize powerfully if the training data has two features: 1) high prompt diversity (many different scenario types) and 2) CoT supervision (showing the reasoning steps, not just the final answer). The model learns the underlying *thinking framework*, not just surface-level behaviors. This method points to a new paradigm for training AI in "non-RLVR" domains—areas like ethics, creative writing, or strategy where there's no single verifiable answer. The formula is: Domain Constitution + Heuristics + Multi-Factor Deliberation Framework + Diverse Deliberative CoT Data = Generalized capability. It represents a new form of "distillation," moving competition from pure compute towards who can best structure expert knowledge into high-quality reasoning datasets.

marsbit05/15 10:55

Anthropic Has Taught Models to Understand Morality and Opened a New Path for Distillation

marsbit05/15 10:55

CLARITY Bill Still Unsettled, Caught Up in U.S. Bipartisan Political Game

The U.S. Senate Banking Committee voted 15-9 to advance the CLARITY Act for a full Senate vote, overcoming a key industry compromise on stablecoin rewards. However, the legislation faces significant political hurdles as it moves forward. The vote fell largely along party lines, with all 13 Republican committee members voting in favor and only two Democrats—Ruben Gallego and Angela Alsobrooks—joining them. Both Democrats indicated their support was conditional to keep debate alive and could be withdrawn later. The path to final passage in the full Senate remains difficult. The bill requires 60 votes to pass. With a current 53-47 Republican majority, this means at least 7 Democratic votes are needed, assuming no Republican defections. The narrow, partisan committee vote suggests securing that level of bipartisan support will be challenging. During the committee process, Democrats pushed for numerous amendments, including a key ethics provision to restrict top government officials' financial ties to the crypto industry. Republicans used their majority to block these amendments, leaving core Democratic concerns unaddressed. These issues, particularly around anti-money laundering and ethics, are expected to resurface as major points of contention during the full Senate debate. Republicans are pushing for a swift Senate vote, ideally before the July 4 recess and the upcoming election season, fearing that a shift in congressional power after the next election could jeopardize the bill's future. However, given the current political stalemate and Democratic demands for concessions, the act's prospects for becoming law in 2026 are uncertain.

Odaily星球日报05/15 10:48

CLARITY Bill Still Unsettled, Caught Up in U.S. Bipartisan Political Game

Odaily星球日报05/15 10:48

Listed and Halted, Surge Over 108% in a Single Day, Is Cerebras Really the 'Next Nvidia'?

Cerebras Systems (CBRS), labeled the "next Nvidia," debuted on the NASDAQ on May 14th, 2025. Its stock price surged over 108% from its $185 IPO price, briefly touching $385 before settling around $311. CEO Andrew Feldman claimed the company's wafer-scale AI chips are "58 times larger and 15-20 times faster" than competitors like Nvidia. The company's core innovation is the Wafer Scale Engine (WSE), a massive, dinner-plate-sized chip designed to avoid the bottlenecks of interconnecting multiple GPUs. Its latest system, the CS-3, offers high-performance computing for AI training and inference. While still a niche player with $5.1 billion in 2025 revenue, Cerebras has secured major contracts, most notably a multi-year, over $20 billion computing deal with OpenAI. This partnership is deep: OpenAI is a major customer, a creditor via a $1 billion loan, and holds warrants that could make it a 10-11% shareholder in Cerebras. Despite the hype, the article argues Cerebras is unlikely to dethrone Nvidia soon. Nvidia's ecosystem (CUDA), vast scale, manufacturing efficiency, and diversified product line present a formidable moat. Cerebras faces high costs, production challenges with its giant chips, and competition from AMD, Google, and others. However, strong demand for AI inference and its key partnerships could support its stock price in the short to medium term. In conclusion, Cerebras is positioned as a high-speed specialist in the AI hardware market, not a broad-market replacement for the current industry leader.

Odaily星球日报05/15 10:34

Listed and Halted, Surge Over 108% in a Single Day, Is Cerebras Really the 'Next Nvidia'?

Odaily星球日报05/15 10:34

BIT Research: If It Followed Nasdaq, Bitcoin Should Be Close to $140,000

BIT Research: Bitcoin Price Analysis Under Inflation Re-pricing The market is currently undergoing a macro adjustment phase dominated by inflation re-pricing. Analysis suggests that if Bitcoin had continued to follow Nasdaq's trajectory, its theoretical price would be near $140,000. However, a significant divergence between the two assets has emerged since October 2025. The core reason is the resurgence of US inflation, which has led to a reversal in market expectations for the Federal Reserve's rate-cut path. Recent data shows US CPI rising to 3.8% and PPI to 6.0%, prompting markets to scale back expectations for 2026 rate cuts. For Bitcoin, the previous supportive narrative of anticipated loose liquidity is weakening. Concurrently, escalating tensions involving Iran have driven oil prices up approximately 40% since late February 2026, heightening inflation concerns through rising energy costs. While the market currently views this inflation surge as a temporary pressure point, the interplay between energy, interest rates, and risk appetite is prompting a reassessment of the potential for a prolonged high-rate environment. In this context, Bitcoin has begun to underperform tech stocks, which can benefit from nominal inflation. The divergence stems from a key distinction: Bitcoin's past rallies were driven by loose liquidity and rate-cut expectations, not inflation itself. As a long-duration asset, Bitcoin is highly sensitive to interest rate paths. When expectations for rate cuts are withdrawn, its valuation faces pressure. Unlike equities, which can benefit from increased nominal revenues and reduced real debt burdens during inflation, Bitcoin possesses neither debt that inflates away nor cash flows that expand with inflation, offering no direct structural benefit from rising prices. Looking ahead, the critical question is whether high inflation will force the Fed to maintain elevated rates for longer. The BIT model anticipates US CPI could potentially rise further to 6.0%. Additionally, factors like AI infrastructure expansion—driving data center construction and power demand—may sustain energy price pressures and extend the period of above-target inflation. In such an environment, tech stocks gain from order growth and improved earnings expectations, while Bitcoin remains susceptible to high-rate pressure. In summary, the current shift does not invalidate Bitcoin's long-term thesis but reflects a market re-evaluation of interest rate and liquidity paths amid resurgent inflation. In the short term, a high-inflation environment may continue to suppress Bitcoin's performance relative to Nasdaq. This represents a slowdown in its upward momentum rather than a bearish turn. Bitcoin could regain support once markets begin to reprice expectations for future liquidity easing.

marsbit05/15 10:07

BIT Research: If It Followed Nasdaq, Bitcoin Should Be Close to $140,000

marsbit05/15 10:07

Bankless Interview: Private Equity Insiders Reveal the Inside Story of Anthropic's Primary Market Trading

**Bankless Interview: A Private Equity Veteran Exposes the Dark Side of Anthropic's Pre-IPO Trading** In a Bankless podcast, Patagon founder Dio Casares reveals the opaque inner workings of the massive secondary market for shares in pre-IPO giants like Anthropic. The market, driven by private SPVs (special purpose vehicles), brokers, and even informal networks, sees hundreds of billions in notional value changing hands, with single-deal fees as high as 10%. However, an estimated 10-20% of transactions involve fraud or fabricated share certificates. Intermediaries often profit more from these deals than from their core investment businesses. Two types of "secondary" exist: company-sanctioned trades (like employee tender offers) that bring new money to the company, and disruptive "gray market" trades on platforms like Hive or Forge, which companies like Anthropic actively fight. The latter creates pricing chaos and complicates primary fundraising. A major risk involves multi-layered, nested SPV structures. When a company like Anthropic finally IPOs, delays in distributing shares down these chains, combined with discretionary powers of fund managers (GPs) to hold or sell, could trigger a wave of lawsuits and settlement nightmares lasting years. For small investors in "tokenized" versions of these assets, transparency is minimal, and due diligence is often impossible. Casares advises extreme caution, suggesting investors trust their gut and exit if something feels wrong. He warns that the post-IPO period will be a major "reckoning" for this wild and largely unregulated market.

marsbit05/15 09:44

Bankless Interview: Private Equity Insiders Reveal the Inside Story of Anthropic's Primary Market Trading

marsbit05/15 09:44

Is Elon Musk Actually the Victim?

"Victim or Vindicator? Inside the OpenAI Trial That Shattered the Myth." In May 2026, the federal court in Oakland became the stage for deconstructing the carefully curated narrative of OpenAI. The trial revealed a complex reality far removed from its founding ideals. The core dispute centered on whether OpenAI, founded in 2015 as a non-profit dedicated to benefiting "all of humanity," had betrayed its mission by shifting towards a lucrative commercial structure, particularly after its 2019 capped-profit affiliate (OpenAI LP) was established and Microsoft invested $13 billion. Elon Musk, a co-founder and early funder, sued, claiming the organization was "stolen" and turned into a de facto Microsoft subsidiary for private gain. OpenAI countered that Musk's funds were unconditional donations and his lawsuit was driven by a desire for control and regret after leaving to found his own AI venture, xAI. The trial exposed early fractures. Evidence from 2017, years before ChatGPT's success, showed the founders were already grappling with the immense financial demands of pursuing Artificial General Intelligence (AGI). Musk himself had proposed having Tesla fund OpenAI. The court scrutinized whether the founders knowingly crossed a moral line. Greg Brockman's personal diary, entered as evidence, contained entries about wealth goals and anxieties over the company's revenue path, alongside self-reminders about the moral bankruptcy of "stealing" the non-profit. Brockman later testified his OpenAI stake was worth nearly $30 billion. The character of CEO Sam Altman was a key battleground. Musk's legal team cited five individuals, including co-founder Ilya Sutskever and former board members, who had described Altman as dishonest. This highlighted a recurring "trust debt" within OpenAI's leadership, exemplified by the chaotic 2023 boardroom coup and subsequent reinstatement. Altman defended his position, arguing Musk sought to absorb OpenAI into Tesla and that commercial success amplified OpenAI's charitable impact. Testimony from Microsoft CEO Satya Nadella underscored how commercial realities now dominated. While framing Microsoft's massive investment as a way to enlarge the non-profit's funding "pie," texts revealed Nadella pressuring Altman to launch ChatGPT's paid version quickly. Nadella also revealed that during the 2023 crisis, Microsoft was prepared to hire Altman and his team, showcasing the board's diminished power against the gravity of capital, talent, and infrastructure. Ultimately, the trial depicted OpenAI not as a singular act of betrayal but as a gradual, systemic transformation. Its grand AGI mission required a "heavier machine" to sustain it—a machine of computing power (largely from Microsoft), capital, and commercial obligations that inevitably reshaped its priorities. The non-profit board, tasked with guarding the mission, found itself unable to control the commercial juggernaut it had enabled. For the public, the proceedings served as a sobering window into the making of a foundational technology. The AI tools increasingly integrated into daily life—from writing and coding to customer service—are not born from a transparent, purely altruistic process. They emerge from a tangled web of personal ambitions, private negotiations, control struggles, and cloud computing bills. The trial's legacy is the stark realization that as AI becomes societal infrastructure, its steering wheel remains in very few, and very human, hands.

marsbit05/15 09:06

Is Elon Musk Actually the Victim?

marsbit05/15 09:06

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