<?xml version="1.0" encoding="utf-8"?> <rss version="2.0"> <channel> <title>Bitcoin Today - Bitcoin News Curated and Powered by AI</title> <link>https://www.bitcointoday.app</link> <description>Get daily updates on Bitcoin's price, market trends, analysis, and breaking news curated and powered by AI - all digestible in minutes. Make BitcoinToday.app your one-stop shop for staying informed in the fast-paced world of Bitcoin.</description> <lastBuildDate>Mon, 08 Jun 2026 01:32:20 GMT</lastBuildDate> <docs>https://validator.w3.org/feed/docs/rss2.html</docs> <generator>https://github.com/jpmonette/feed</generator> <language>en</language> <image> <title>Bitcoin Today - Bitcoin News Curated and Powered by AI</title> <url>https://www.bitcointoday.app/images/logo-512.png</url> <link>https://www.bitcointoday.app</link> </image> <copyright>All rights reserved 2024, BitcoinToday.app</copyright> <category>Bitcoin News</category> <item> <title><![CDATA[Quantum 'Perfect Die' Creates Physics-Certified Randomness: A Game-Changer for Crypto and Security]]></title> <link>https://www.bitcointoday.app/article/quantum-perfect-die-creates-physics-certified-randomness-a-game-changer-for-crypto-and-security</link> <guid>quantum-perfect-die-creates-physics-certified-randomness-a-game-changer-for-crypto-and-security</guid> <pubDate>Sun, 07 Jun 2026 07:01:26 GMT</pubDate> <description><![CDATA[## Quantum Leap in Randomness Generation ETH Zurich scientists have achieved a breakthrough by creating a **quantum 'perfect die'** that generates randomness certified by the laws of physics. Led by Renato Renner, the team entangled two qubits over a 30-meter tunnel using microwave photons, then refined the output with a two-source extractor. The result, published in *Nature*, produces numbers whose unpredictability is guaranteed by quantum mechanics, not by assumptions about hardware. ### Key Takeaways - **Two qubits linked over 30 meters** generated certified randomness. - **Nature study** could strengthen cryptography, gaming, and security systems beyond classical methods. - **ETH Zurich's findings** bolster quantum advantage and may reshape security models after 2026. ## Inside the Experiment The team built a "perfect die" by entangling two qubits connected via microwave photons across roughly 98 feet. Measurements on one qubit correlated with the other, but individual outcomes remained fundamentally unknowable. Raw results were processed with a "two-source extractor," purifying weakly random inputs into provably random outputs. The randomness is certified by the experiment's structure and quantum theory itself, leaning on decades of Bell test research that rules out hidden classical variables. ## Practical Applications This approach differs from typical generators that rely on algorithms or environmental noise. Here, output is anchored to quantum mechanics. Immediate applications include **cryptography**, where key security depends on unpredictability. Banks, cloud providers, and hardware security modules could use these certified bits for key generation, secure boot, and high-stakes authentication. **Gaming and lotteries** are obvious candidates, though scaling and cost will decide the pace. The result also serves as evidence of **quantum advantage**, a domain where classical machines cannot match the guarantee. ## Philosophical Implications Beyond tools, the result nudges a long-running debate: if certain outputs are provably beyond prediction, then indeterminacy is baked into reality. This supports the probabilistic view of quantum mechanics and narrows room for hidden-determinist explanations. It also reframes risk models—some uncertainty cannot be averaged away, only respected and harnessed.]]></description> <author>contact@bitcointoday.app (BitcoinToday.app)</author> <category>quantumrandomness</category> <category>ethzurich</category> <category>cryptography</category> <category>quantumadvantage</category> <category>perfectdie</category> <enclosure url="https://static.news.bitcoin.com/wp-content/uploads/2026/06/new-findings-reveal-a-groundbreaking-creation-that-redefines-our-understanding-of-chance.png" length="0" type="image/png"/> </item> <item> <title><![CDATA[Why I'm Loading Up on Bitcoin Now: The Next Boom Could Be Closer Than You Think]]></title> <link>https://www.bitcointoday.app/article/why-im-loading-up-on-bitcoin-now-the-next-boom-could-be-closer-than-you-think</link> <guid>why-im-loading-up-on-bitcoin-now-the-next-boom-could-be-closer-than-you-think</guid> <pubDate>Sat, 06 Jun 2026 14:01:09 GMT</pubDate> <description>< So, guess where we are in the cycle right now? Yes, we're in the year of "total collapse." The collapse started in October, so there's likely to be several more months of pain ahead. But after that -- if history repeats -- Bitcoin will begin to regain its footing. Just check the numbers from previous Bitcoin cycles. In 2019, 2020, and 2021, Bitcoin soared in value. Then it lost 64% of its value in 2022. In 2023 and 2024, Bitcoin once again soared in value. And in the first nine months of 2025, Bitcoin exploded in value, hitting a new all-time high of $126,000. That's three good years, then one bad year. That's why I'm not concerned about Bitcoin recently falling below $70,000. Quite likely, it will fall further still in 2026. But just wait until 2027, when Bitcoin is likely to regain its momentum and begin to bounce back higher. By the time of its next **halving** in April 2028, Bitcoin should be primed to hit yet another all-time high.]]></description> <author>contact@bitcointoday.app (BitcoinToday.app)</author> <category>bitcoin</category> <category>btc</category> <category>cryptocycle</category> <category>buythedip</category> <category>marketsentiment</category> <enclosure url="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F872343%2Fbitcoin-bouncing-higher.jpg&w=1200&op=resize" length="0" type="image//image/"/> </item> <item> <title><![CDATA[Bitcoin and Ether ETFs Finally Break Their Record-Breaking Outflow Streaks – Is the Tide Turning?]]></title> <link>https://www.bitcointoday.app/article/bitcoin-and-ether-etfs-finally-break-their-record-breaking-outflow-streaks-is-the-tide-turning</link> <guid>bitcoin-and-ether-etfs-finally-break-their-record-breaking-outflow-streaks-is-the-tide-turning</guid> <pubDate>Fri, 05 Jun 2026 14:01:26 GMT</pubDate> <description><![CDATA[**U.S. spot bitcoin ETFs** pulled in a net **$3.05 million** on Thursday, capping **13 straight sessions of outflows** totaling roughly **$4.4 billion**. **Ether ETFs** also ended a **17-day outflow streak**, taking in **$19.30 million**. ## The Numbers Behind the Streak The outflows, together with the plunging price of the largest cryptocurrency, dragged **total bitcoin ETF assets** down to **$80.40 billion** from **$104.29 billion** at the start of the streak. It's worth keeping in mind the size of yesterday's inflows compared with the outflows: the $3 million figure is less than any single day of outflows during the period, which mostly saw exits above $100 million. **BlackRock's IBIT**, the largest fund in the category, received **$47.66 million** on Thursday, while **Fidelity's FBTC**, **Bitwise's BITB** and **Ark's ARKB** continued to bleed. The total bitcoin assets under management (AUM) in the investment vehicles stand at **1.277 million BTC**, about **7.2% below the October record**, according to CheckonChain. That is slightly above the Feb. 23 low of 1.274 million BTC, reached as the price of bitcoin recovered from its February trough near $60,000. Bitcoin fell to **$63,800** on Thursday after rising as high as $64,660. ## Ether ETFs Join the Recovery Spot ether ETFs also ended a streak of outflows, taking in **$19.30 million** after 17 days of redemptions. **BlackRock's ETHA** benefited from the influx, with every other ether ETF logging zero net flow. Total ether ETF assets sit at **$9.78 billion**, or **4.57% of ether's circulating market capitalization**, with cumulative inflows since the 2024 launch at $11.21 billion. The category remains roughly $2 billion below its asset peak from earlier in the year. ## Hyperliquid's HYPE ETFs Buck the Trend Meanwhile, **Hyperliquid's HYPE ETFs** were the only investments to avoid outflows during the period. The three ETFs took in another **$12.15 million** on Thursday, extending a run of inflows that started with their debut on May 12. **Grayscale's low-fee HYPG fund** pulled **$4.70 million** on its first day of trading. ## Market Context On Friday, Bitcoin fell 1.7% to **$62,700**, ether dropped to **$1,670** and the broader risk picture deteriorated as the global AI trade rolled over on Broadcom's outlook miss and a 4.7% selloff in South Korea's KOSPI index.]]></description> <author>contact@bitcointoday.app (BitcoinToday.app)</author> <category>bitcoinetfs</category> <category>etheretfs</category> <category>inflows</category> <category>outflows</category> <category>marketrecovery</category> <enclosure url="https://cdn.sanity.io/images/s3y3vcno/production/022fbeafee767d0e358847eb087ae2deaed32e68-1920x1280.jpg?auto=format&w=960&h=540&crop=focalpoint&fit=clip&q=75&fm=jpg" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Trump Plans Government Stake in AI Giants: A New Era for US Tech?]]></title> <link>https://www.bitcointoday.app/article/trump-plans-government-stake-in-ai-giants-a-new-era-for-us-tech</link> <guid>trump-plans-government-stake-in-ai-giants-a-new-era-for-us-tech</guid> <pubDate>Fri, 05 Jun 2026 20:01:29 GMT</pubDate> <description><![CDATA[US President Donald Trump is planning to meet with leaders of top artificial intelligence (AI) companies to discuss the government taking a financial stake in their future. Speaking on Air Force One, Trump stated that the goal is to **"create almost a partnership with the American public"** by investing in AI companies. While specific companies were not named, the biggest US AI players include **Google, Microsoft, OpenAI, SpaceX, and Anthropic**. The latter two are expected to go public soon. Trump compared this potential investment to the US government's **10% stake in Intel last year**, claiming it has already turned a profit. Part of the motivation is to improve **Americans' increasingly negative views of AI**. Trump believes that by giving the public a direct financial stake, they will be more supportive of the technology. He expects to meet with AI leaders at the White House as early as next week.]]></description> <author>contact@bitcointoday.app (BitcoinToday.app)</author> <category>ai</category> <category>trump</category> <category>governmentinvestment</category> <category>technology</category> <category>useconomy</category> <enclosure url="https://ichef.bbci.co.uk/news/1024/branded_news/5d3c/live/e9f73f00-610d-11f1-9134-bfd933b9750c.jpg" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Strive Doubles Down on Bitcoin with $4.2B Offering as Strategy Sells – Who's Winning?]]></title> <link>https://www.bitcointoday.app/article/strive-doubles-down-on-bitcoin-with-42b-offering-as-strategy-sells-whos-winning</link> <guid>strive-doubles-down-on-bitcoin-with-42b-offering-as-strategy-sells-whos-winning</guid> <pubDate>Tue, 02 Jun 2026 20:01:28 GMT</pubDate> <description><![CDATA[**Strive** received a nod of approval from **Benchmark-StoneX** analysts after the Bitcoin-buying asset manager padded cash reserves while growing its stockpile. The firm purchased **2,500 BTC** last week, expanding its holdings to **19,000 BTC ($1.3 billion)**, and raised $44 million to ensure dividends on its preferred stock can be paid. Strive has devised a variable-rate product dubbed **SATA**, offering a **13% annual dividend in daily payouts** starting June 16—the first listed security in the U.S. to offer routine daily dividends. Analyst Mark Palmer described Strive and Strategy as **friendly rivals**, not competitors, as both are committed to furthering "digital credit." He said, "This is not a zero-sum game." The investment bank initiated Strive coverage with a **"Buy" rating and $32 price target**. Despite shares falling 6.6% on market jitters from Strategy's first Bitcoin sale since 2022, Strive is doubling down: Chairman Matt Cole announced plans to increase an issuance program by **$4.2 billion**. Strive's framework **differentiates it** from most other Bitcoin treasury companies, as it relies on **debt-free preferred stock** rather than convertible debt or margin financing. SATA's lack of refinancing and collateral risks mitigates forced deleveraging during Bitcoin price downturns. Palmer described Strive as **"nimble"** for swiftly shifting SATA's dividend format, while Strategy has asked shareholders to vote on bi-monthly distributions. Strive has also shaken off its debt entirely, a process Strategy signaled could take 3-6 years. Benchmark-StoneX reiterated a **"Buy" rating and $570 price target** for Strategy, arguing the market wrongly treated its 32 BTC sale as a betrayal. They expect Strategy to remain a significant net buyer of Bitcoin.]]></description> <author>contact@bitcointoday.app (BitcoinToday.app)</author> <category>strive</category> <category>bitcoin</category> <category>digitalcredit</category> <category>sata</category> <category>strategy</category> <enclosure url="https://cdn.decrypt.co/resize/1024/height/512/wp-content/uploads/2026/05/decrypt-style-strive-gID_7.png" length="0" type="image/png"/> </item> <item> <title><![CDATA[AI Breaks 80-Year-Old Geometry Puzzle: What This Means for Math and Crypto]]></title> <link>https://www.bitcointoday.app/article/ai-breaks-80-year-old-geometry-puzzle-what-this-means-for-math-and-crypto</link> <guid>ai-breaks-80-year-old-geometry-puzzle-what-this-means-for-math-and-crypto</guid> <pubDate>Mon, 01 Jun 2026 07:01:25 GMT</pubDate> <description><![CDATA[**OpenAI's AI model has solved an 80-year-old geometry puzzle** posed by Paul Erdős in 1946, known as the **unit distance problem**. The AI found configurations that beat long-standing conjectured bounds, proving at least **n^(1+δ) unit-distance pairs** for some δ>0. Mathematicians at Princeton have verified the result, with figures like **Tim Gowers** and **Arul Shankar** calling it a significant advance. ## Key Takeaways - OpenAI solved Paul Erdős’ 1946 puzzle with **n^(1+δ) unit-distance constructions**. - Princeton verified the result, giving AI a **2026 credibility boost** in mathematics. - Tim Gowers says the advance could influence **cryptography** and proofs beyond geometry. An 80-year-old geometry riddle finally budged when an OpenAI system stitched together an unlikely construction that beat long-standing expectations. The unit distance problem, posed by Paul Erdős in 1946, asks how many pairs of points exactly one unit apart can exist among n points in the plane; the AI found configurations that grow faster than the classic playbook allowed. Princeton mathematicians checked the work, and heavyweights like Tim Gowers and Arul Shankar took notice. Beyond bragging rights, the result hints at a **new kind of collaborator for math**, one that uses general inference to push past human heuristics. ## AI cracks 80-year-old mathematical mystery with breakthrough solution Some problems keep nudging at the edges of human patience. The unit distance problem, posed in 1946 by Paul Erdős, asked a deceptively crisp question: with n points on a flat plane, how many pairs can be exactly 1 unit apart. Generations attacked it with grids, symmetry, and grit. Progress came in slivers, never in leaps. Then, quietly, an AI stepped in. ## A decades-old problem, solved at last The classical approach arranged points in square grids, tweaking scale to coax more pairs at distance 1. That method suggested growth just above linear, roughly n multiplied by a factor that barely beats n as it gets large. The field settled around the idea that the best lower bound hovered near n^(1+o(1)), a notch above n, not a stride. ## How AI outperformed conjectures According to researchers involved, an internal model from OpenAI proposed a new family of point configurations that crosses a threshold long thought out of reach. The system produced constructions with at least **n^(1+δ) unit-distance pairs**, for a fixed δ greater than 0 that does not fade as n increases. That is a genuine polynomial improvement, not a rounding error. The approach blended geometric insight with **advanced algebraic number theory**, a surprising toolkit for a spatial counting puzzle. It did not come from a math-specialist engine. Instead, it emerged from a general inference model under evaluation, suggesting broader reasoning capabilities that can navigate across domains when the search space is vast. ## Confirmed by experts, celebrated by the field Independent mathematicians at Princeton University reviewed the AI’s constructions and confirmed the result, per people familiar with the review. Esteemed voices, including **Sir Tim Gowers** and **Arul Shankar**, praised the advance as a meaningful step for the field. This is the case where a new lower bound, long static, finally moved because an AI found the right lens. ## Implications for mathematics and beyond What does it mean when a generalist model nudges past entrenched conjectures? For one, it hints at a workflow where machines surface candidate structures and humans stress-test them. In addition to geometry, disciplines like **combinatorics, coding theory, and cryptography** could see similar collaborations when proofs hinge on rare constructions.]]></description> <author>contact@bitcointoday.app (BitcoinToday.app)</author> <category>ai</category> <category>mathematics</category> <category>geometry</category> <category>openai</category> <category>cryptography</category> <enclosure url="https://static.news.bitcoin.com/wp-content/uploads/2026/05/an-ai-cracks-an-80-year-old-geometry-puzzle--what-do-mathematicians-make-of-it.png" length="0" type="image/png"/> </item> </channel> </rss>