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bitcoinist.com Bitcoin Under $80,000: Warsh Confirmed As Next Fed Chair—Here’s The Likely Impact

Bitcoin suffered a sharp pullback on Wednesday, giving up the crucial $80,000 support level that helped BTC rally to prices last seen earlier in the year.  The selloff comes as Congress has also confirmed a new Federal Reserve (Fed) chair—Kevin Warsh—raising expectations for how monetary policy could evolve next.  Warsh’s Confirmation In a recent report, […]

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btcmanager.com US-China summit and inflation data trigger market volatility; SHR Miner emerges as a new choice for investors chasing $17,700 in returns

Bitcoin slips below $80K as inflation data pressures markets and cloud mining interest grows. On Thursday, Bitcoin prices experienced a sharp pullback, driven by higher-than-expected inflation data and escalating geopolitical tensions.  During the U.S. trading session, Bitcoin fell to $79,200,…

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news.bitcoin.com Coinbase Wins USDC Treasury Deployer Seat on Hyperliquid, Circle Handles Cross-Chain Infrastructure

Coinbase is stepping in as the official treasury deployer for USDC on Hyperliquid under a new framework called AQAv2, ending a fragmented stablecoin setup on one of decentralized finance’s most active perpetuals platforms. Coinbase Becomes USDC Treasury Deployer on Hyperliquid as Native Stablecoin USDH Winds Down Announced Thursday, the arrangement places Coinbase at the center […]

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cryptobriefing.com CME Group to launch Nasdaq crypto index futures covering Bitcoin, Ether, XRP as daily volumes surge 43% this year

The launch of Nasdaq crypto index futures by CME Group could significantly enhance institutional participation and market stability in the crypto sector. The post CME Group to launch Nasdaq crypto index futures covering Bitcoin, Ether, XRP as daily volumes surge 43% this year appeared first on Crypto Briefing.

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forklog.media The all-seeing eye of the Technological Republic

In 2003 the investor Peter Thiel and the social-theory PhD Alex Karp registered a company named after the seeing-stones in The Lord of the Rings—artifacts that allow one to look across distance. In Tolkien’s tale, one palantír belonged to the wizard Saruman: through the stone he spoke with the Dark Lord and gradually crossed to his side. The name carries another symbolic layer. In Tolkien’s legendarium one stone—the Elostirion stone—did not connect its holder to the other palantíri. Its sole function was to gaze West, over the Sea, towards the elves’ lost homeland. For a company that openly proclaims the defence of Western civilisation, the reference is unlikely to be accidental. By 2026 Palantir Technologies is the main software contractor to the US Department of Defense and the intelligence services, and one of the most debated technology firms. Karp openly states that its task is “to ensure the West’s obvious superiority” and “sometimes to kill” its opponents. In 2025, together with his director of corporate communications, Nicholas Zamiska, he published The Technological Republic: Hard Power, Weak Faith, and the Future of the West. Its key thesis: Silicon Valley must “repay a moral debt to the state” and take part in the nation’s defence. We examine how Karp built infrastructure for modern war and what ideology he advances. Missing the wood for the trees The main problem Palantir addresses is structural. In America’s intelligence services a “jars of marbles” model evolved: the FBI, CIA, NSA and the police had their own databases, and sharing moved through bureaucratic requests. Each agency kept its data in a separate “vessel”—even knowing that a neighbouring agency might hold crucial information, agents could not get to it quickly. This fragmentation cost lives. One of the best-known examples is the story of John O’Neill, the FBI’s leading counterterrorism specialist. By the mid-1990s he saw cells of international radical networks, including al-Qaeda, as the chief threat to US security. He warned that terrorists had infrastructure inside the country and pressed for closer inter-agency co-ordination. Different fragments of information remained split across structures. The FBI logged suspicious domestic episodes—for instance, would-be terrorists’ interest in flight schools. The CIA, for its part, had data on a meeting of al-Qaeda-linked individuals in Malaysia and knew that two participants—Nawaf al-Hazmi and Khalid al-Mihdhar—had entered the United States on visas. But information-sharing between agencies was incomplete and conflict-ridden: FBI staff seconded to the CIA later claimed their attempts to pass the details to O’Neill were blocked inside the agency. Isolated facts never coalesced into a single picture. In the summer of 2001 O’Neill left the FBI amid internal conflicts and scandals over leaks and misconduct. In August he became head of security at the World Trade Center. On September 11th 2001 O’Neill died while evacuating people from the South Tower. Palantir built a system that unifies disparate databases into a single model of relationships. The company calls it an ontology—a structure where objects, events and people are linked by explicit relations. An address connects to an owner, a transaction to accounts, a call to subscribers and geolocation. Such a model lets analysts quickly spot patterns that once took weeks of manual work. In 2005 Palantir’s first institutional backer was In-Q-Tel, a venture fund set up by the CIA in 1999 to finance dual-use technologies. It put in about $2m and for several years remained the company’s only outside investor. In 2011 Bloomberg reported that Palantir’s technology had become a key tool for US intelligence in the “war on terror” and was used to analyse data in counterterrorism operations. For its first years Palantir Technologies was almost absent from public view. It seldom spoke to the press, shunned publicity and built its business largely around contracts with US government bodies. Palantir engineers worked directly at customers’ sites—in intelligence, the military and law enforcement. In tech and defence the firm was well known, but to the wider public it remained invisible. Even in Silicon Valley many could not quite grasp what Palantir actually did: a “Google for spies”, or just a very expensive database. Gotham, Foundry and AIP Palantir develops three core products: Gotham—a platform for the military, intelligence and law enforcement. It is named after the city (“that is never safe”) from Batman comics. The platform pulls data from satellites, ground sensors, signals intelligence, legacy databases and battlefield channels into a single pane. It can task sensors (for example, direct a reconnaissance drone to co-ordinates), identify targets and suggest weapons employment options. In military parlance this is the “kill chain”. Foundry—the civilian version. ExxonMobil uses it to optimise extraction, Swiss Re to assess risks, and media group Ringier to manage subscribers. In Australia Foundry has been deployed at the Coles supermarket chain. Artificial Intelligence Platform (AIP)—an AI layer launched in 2023. AIP sits atop Gotham and Foundry and lets users converse with data in natural language. An operator asks: “What hostile forces are in this area?” The system queries connected sources, composes an answer and proposes actions. Daniel Trusilo—formerly a US Army officer who served in Iraq, later an AI-ethics researcher at the University of St Gallen—notes a crucial feature of Palantir: the same technological base is used for dual purposes. In his words, “the same software that optimises supply chains now runs military operations.” The ChatGPT moment For years Palantir lost money. After listing on the New York Stock Exchange in 2020 its shares went nowhere. Analysts struggled to see how the firm could make money in the civilian sector—too niche a product. That changed with large language models (LLMs). When ChatGPT arrived in late 2022, Palantir argued that its long bet on ontologies and a semantic data layer had suddenly become valuable. “We were pleasantly surprised to discover how closely the world we had been building lined up with the era of large language models. It became clear: you cannot realise the potential of LLMs without such structures,” said the company’s CTO, Shyam Sankar. In another interview he also said that “in many ways all the work on Foundry and Gotham seemed to be waiting for the arrival of large language models.” Palantir’s logic is that LLMs are unreliable on their own without structured context. A language model needs a layer that connects a text interface to the objects, events and real processes inside an organisation. That is the role the company assigns to ontologies—a system of relations among people, transactions, devices, documents and actions. Palantir rewrote its roadmap, embedded LLMs into its products and launched AIP. From that moment the shares began to climb. PLTR since listing through May 2026. Source: TradingView. In 2023 PLTR rose 167%, in 2024—340%. In the first half of 2025 Palantir became the top performer in the S&P 500 and Nasdaq-100. The Technological Republic In 2025 Karp and Palantir’s communications chief, Nicholas Zamiska, published The Technological Republic: Hard Power, Weak Faith, and the Future of the West. In spring 2026 the company posted a condensed version on X in 22 theses. The thread spread across social media and sparked debate far beyond tech: some saw an attempt to justify a tighter alliance among technology companies, the state and the military; others, a near-complete political programme of techno-nationalism. Because we get asked a lot.The Technological Republic, in brief.1. Silicon Valley owes a moral debt to the country that made its rise possible. The engineering elite of Silicon Valley has an affirmative obligation to participate in the defense of the nation.2. We must rebel…— Palantir (@PalantirTech) April 18, 2026 In the preface the authors write: “A reckoning has come for the West. The loss of ambition and interest in scientific and technological achievement, accompanied by a decline in state-led innovation in such key areas as medicine, space exploration, and military development, has produced an innovation gap.” Silicon Valley, in their view, went the other way—to a world dominated by “online advertising, shopping, social networks and video platforms”. From this premise the manifesto unfolds. The engineering elite of Silicon Valley “must take part in the defence of the nation and in formulating a national idea: what this country is, what we value, and what we stand for.” The age of soft power, Karp argues, is ending: “For free and democratic societies to prevail requires something more than moral superiority. It requires hard power, and in this century hard power will be built on software.” The atomic age of deterrence, the authors argue, is also passing. In its place comes AI-based deterrence: “We are building software that can become a weapon of mass destruction. The potential integration of AI with armaments creates risks, especially if programs acquire self-awareness and their own intentions. But the call to stop development is wrong. Our adversaries will not waste time on theatrical debates about the merits of designing technologies that are strategically vital to military security. They will act,” write Karp and Zamiska. The red threat The ideology of the Technological Republic does not remain on paper. It is backed by political infrastructure whose scale became evident in 2026. Leading the Future—a super PAC created to defend the AI industry’s interests—has amassed over $140m in donations and commitments. Among the main sponsors are OpenAI co-founder Greg Brockman, Palantir co-founder Joe Lonsdale and the venture firm Andreessen Horowitz. Palantir as a company says it made no corporate donations. OpenAI says the same. But their key figures are the fund’s largest individual donors. In May 2026 WIRED journalist Taylor Lorenz revealed that Leading the Future’s affiliate—a nonprofit called Build American AI—funds native ads on TikTok and Instagram. Influencers are offered $5,000 per video with the message: China threatens America’s AI leadership, and this affects everyone. Sample scripts include lines such as: “I learned that China is trying to overtake the US in AI. If they succeed, my data and my children’s data could end up under China’s control.” The ads are labelled as paid partnerships, but the sponsor—Build American AI—is not named. The campaign’s rhetoric mirrors Karp’s main theses. “We will be the dominant player or China will be the dominant player—and the rules will depend on who wins. […] When people worry about surveillance—yes, there is a danger, but you will have far fewer rights if America is not the leader,” he said in an interview with Axios in November 2025. In parallel, Leading the Future is campaigning against lawmakers seeking to regulate AI. The most high-profile case is an attack on New York State Assembly member Alex Bores, a co-author of the RAISE Act—among the first American AI-safety laws. According to The New York Times, the super PAC is spending millions to discredit the inconvenient politician. Bores explained it this way: “They want to beat me up politically so badly that in the future, when AI regulation comes up, politicians run the other way. They want to make an example out of me.” The situation around Palantir is part of a broader shift. In February 2026 OpenAI signed a contract with the Pentagon to supply language models for the military. The deal followed Anthropic—OpenAI’s chief rival—walking away from talks after refusing to lift restrictions on mass surveillance and autonomous weapons. The Trump administration in response designated Anthropic a supply-chain risk and ordered its tools wound down within six months. OpenAI took the vacated spot. The full text of the Pentagon agreement was not disclosed. Brad Carson, a former general counsel of the US Army, commenting on excerpts and contractual language released by OpenAI, said: “They are trying to blind you with complex legal terms that ordinary people understand quite differently. Lawyers know what that means. And lawyers know it is no constraint at all.” A partial truth Alex Karp does not try to seem nice. He does not speak the language of “innovation” and “transformation”: his rhetoric revolves around global rivalry and technological dominance. He believes the West is in a race with China that will set the balance of power for generations. In an extended essay an analyst writing as MachineSovereign describes Palantir not as the West’s saviour but as “the infrastructural layer through which the state increasingly sees, coordinates, decides, and acts.” Formal institutions keep their powers: they authorise decisions, speak in public and uphold symbolic legitimacy. But the operational layer is shifting into technical infrastructure that determines what the state is able to see, analyse and use for decision-making. Karp’s supporters respond that the world is moving this way regardless. Spurning such systems will not stop their development—only hand the initiative to those who will build similar tools without regard for human rights, transparency and public oversight. In this logic the question is no longer whether such platforms will appear, but who will control them and in the interests of which political systems they will work. The palantír in Tolkien is an instrument that does not lie outright, but shows only part of reality. He whose will is stronger can impose on others his own picture of the world. Palantir, Anduril, Mithril, Erebor, Narya—Silicon Valley long ago turned Middle-earth into a catalogue of brands for defence and technology start-ups. Tolkien would likely have greeted this without enthusiasm. He deeply mistrusted industrialisation and the concentration of power—motifs that run through all his work. He wrote about a world in which danger lay not in the power of weapons but in a monopoly on knowledge. The palantíri doomed not because they showed falsehood, but because they showed a selective truth: the stone’s owner decided which slice of reality the onlooker would see. Modern data-analysis platforms are gradually changing the very mechanism of governance. Who sees threats first, who sets priorities, who wins the right to interpret reality for everyone else—such questions are moving from politicians’ offices to contractors’ server rooms. In the AI era you do not need to forbid access to information. It is enough to decide what people should see. Text: Sasha Kosovan

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news.bitcoin.com AARP Backs CLARITY Act Ahead of Senate Banking Markup

AARP urged senators to preserve Section 205 of the CLARITY Act as cryptocurrency kiosk scams draw concern. The group cited more than 13,460 complaints and $389 million in reported losses tied to the machines. AARP Backs Section 205 Ahead of CLARITY Act Markup AARP, the nation’s largest nonprofit, nonpartisan organization that advocates for 125 million […]

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cryptobriefing.com Deutsche Bank and Nasdaq back Elliptic in $120M funding round, valuing crypto compliance firm at $670M

Traditional finance's investment in crypto compliance signals a shift towards integrating blockchain technology, emphasizing regulatory adaptation. The post Deutsche Bank and Nasdaq back Elliptic in $120M funding round, valuing crypto compliance firm at $670M appeared first on Crypto Briefing.

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bitcoinist.com What Makes XRP Unique? Ripple CEO Explains

Ripple CEO Brad Garlinghouse has outlined what he believes makes XRP distinct in the digital asset market, pointing to the XRP Ledger’s payments-focused design, low transaction costs, short settlement times and long-running community support. The comments came in a short “XRP In One Minute” video shared by Ripple from XRP Las Vegas, where Garlinghouse framed […]

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blockonomi.com Pentagon Drone Surge: AeroVironment (AVAV), Palantir (PLTR), and Kratos (KTOS) Lead Defense Stock Rally

Defense stocks AeroVironment, Palantir, and Kratos are thriving as the Pentagon accelerates drone warfare spending. Here's what investors need to know. The post Pentagon Drone Surge: AeroVironment (AVAV), Palantir (PLTR), and Kratos (KTOS) Lead Defense Stock Rally appeared first on Blockonomi.

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forklog.media Bitcoin drops below $80,000 as US inflation quickens

On May 13, bitcoin fell below $80,000. The pullback coincided with the publication of April’s producer price index (PPI): it rose by 1% — the highest reading since March 2022. Hourly chart of BTC/USDT on Binance. Source: TradingView. Annual core producer inflation reached 5.2%, beating expectations of 4.3%. That reduced the odds of near-term Fed easing. By market estimates, the probability of a rate hike by year-end stands at 30%. 21Shares analyst Matt Mena noted that holding $80,000 is critical for the market. A break lower could test $78,000 and then $75,000. What about ETFs? The drop was accompanied by outflows from institutional products. On May 12, net outflows from spot bitcoin-ETF totalled $233.25m, and on May 14 — $635.23m, the largest since mid-February. Source: SoSoValue. In the Ethereum fund segment, May 12 saw an outflow of $130.62m and May 13 of $36.3m. According to Glassnode, the seven-day average daily net outflow over the past week was $88m. The 7D-SMA of US Spot ETF Netflow dropped to -$88M/day, the largest outflow since mid-February.February's outflows occurred into price weakness. This wave is selling into strength, with BTC trading near $80k.Institutional participants were using the recovery over the recent… https://t.co/BlsOLfq7yE pic.twitter.com/4qHLVjw7WC— glassnode (@glassnode) May 14, 2026 Analysts observed a shift in investor behaviour: in February, funds were withdrawn into price weakness, whereas now sales are occurring into strength — with bitcoin holding near $80,000. Institutional players used the recent recovery to exit positions. In analysts’ view, this is deliberate profit-taking rather than fear or panic. Corporate treasury activity has also eased. According to a Bitfinex report, large companies’ purchases of digital gold over the week fell by 80%. Experts warn of potential volatility in the $82,000–85,200 range due to an options overhang. Bitfinex believes the latest advance is more likely a temporary short squeeze than the start of a sustained trend. Nexo specialists reported that amid volatility, open interest in bitcoin perpetuals fell 7% to $36.8bn, pointing to reduced leverage among traders. Risk assets are also under pressure from the rise in the US 10-year Treasury yield to 4.46%. The market is watching Senate debate on the CLARITY Act and the outcome of US President Donald Trump’s visit to Beijing. Other factors An analyst using the pseudonym Easy On Chain believes that a confluence of factors — from coin inflows to exchanges to macro data — drove bitcoin’s decline. Why Did Bitcoin Crash? What Really Happened Inside the Market“A market weakened by falling outflows met a short-driven atmosphere and macro bad news, triggering a massive $109.7M long wipeout.” – By @easy_Vero pic.twitter.com/ZbF4NVcifI— CryptoQuant.com (@cryptoquant_com) May 14, 2026 By May 11, the market was facing a shortage of buyers. While bitcoin inflows to exchanges remained stable, outflows fell sharply — to 19,995 BTC — well below early‑May averages (25,000–35,000 BTC). Net flows turned positive, creating excess sell-side liquidity and depriving the price of support. From May 8 to 10, traders aggressively opened short positions — negative funding rates confirmed the bearish bet. As the price fell, a domino effect followed: over three days, $109.7m worth of longs were forcibly closed. On May 12 alone, long liquidations were 11 times greater than short losses. The final trigger was the release of the CPI and PPI indices: US macro data ultimately sapped investor sentiment, the analyst stressed. Easy On Chain sees limited room for recovery for now. A reversal would require a decline in forced liquidations and a return of net exchange flows to negative territory. Whales return Glassnode analysts recorded a return of institutional demand for bitcoin. After the drop to $60,000 and the subsequent recovery towards $80,000, inflows into US spot bitcoin ETFs turned consistently positive. Rally Without Conviction$BTC has recovered above $80K as ETF inflows, spot demand, and positioning improve. However, weaker capital inflows and heavy overhead supply near $86K keep conviction below prior bull phases.Read the full Week On-Chain👇https://t.co/ZKsyqqaQR5 pic.twitter.com/xjZREW5ify— glassnode (@glassnode) May 13, 2026 During February’s decline, investors’ unrealised losses reached 25%. After the move above $80,000 they fell to 8%. In the experts’ view, the market has shifted from fear to uncertainty. If $60,000 holds, this cycle could see the “shallowest” drawdown in the asset’s history. Capital flows Net capital inflows to the network are about $2.8bn per month. That confirms a positive trend, but the figure remains well below the 2023–25 bull‑market levels, when inflows exceeded $10bn. Glassnode highlighted the following key levels: support: $76,900 — the average cost basis of short‑term investors over the past 30 days; resistance: $86,900 — the zone of volume concentration accumulated from November to February. Aggressive buying is evident on Coinbase, underscoring spot demand. Traders on Hyperliquid are also adding long positions. Volatility is easing, and demand for downside hedges (put options) is softening. Analysts flag sensitivity around $82,000: given dealer positioning, a move into this zone could spark a sharp rise in volatility. Experts conclude that market structure is improving, but stronger capital inflows are needed for a full‑blown bull run. Earlier, MN Trading founder Michaël van de Poppe argued that bitcoin has no obvious reasons to fall. In his words, a false notion of a forming “bear flag” and a move to $50,000 by year-end has taken hold in the market.

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news.bitcoin.com CFTC Drops Swap Reporting Duties for Prediction Market Operators Across the US

The Commodity Futures Trading Commission (CFTC) issued a blanket no-action letter this week, relieving prediction market operators from swap data reporting and recordkeeping obligations tied to fully collateralized event contracts. CFTC Issues Blanket No-Action Letter Cutting SDR Reporting for Event Contracts The CFTC‘s Division of Market Oversight and Division of Clearing and Risk jointly announced […]

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bitcoinist.com Bitcoin Under $80,000: Warsh Confirmed As Next Fed Chair—Here’s The Likely Impact

Bitcoin suffered a sharp pullback on Wednesday, giving up the crucial $80,000 support level that helped BTC rally to prices last seen earlier in the year.  The selloff comes as Congress has also confirmed a new Federal Reserve (Fed) chair—Kevin Warsh—raising expectations for how monetary policy could evolve next.  Warsh’s Confirmation In a recent report, […]

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bitcoinist.com This Man Was Locked Out Of His Bitcoin Wallet For 11 Years — Claude AI Got Him Back In

A Bitcoin holder known on X as @cprkrn recovered approximately 5 BTC — worth between $400,000 and $500,000 at current prices — on May 13, 2026, after more than eleven years locked out of a wallet, crediting Anthropic’s Claude AI with solving a technical problem that had defeated every conventional recovery method he had tried […]

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altcoinbuzz.io Casper Just Dropped a Huge Roadmap for RWAs and the Machine Economy

Casper Network is making a big bet on where blockchain goes next. And it’s not memecoins. At the Digital Finance Forum in Bermuda, Casper Association President and CTO Michael Steuer unveiled the “Casper Manifest,” a multi-year roadmap focused on regulated real-world assets (RWAs), AI-powered payments, and infrastructure built for institutions and machines. The roadmap includes […] The post Casper Just Dropped a Huge Roadmap for RWAs and the Machine Economy appeared first on Altcoin Buzz.

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blockonomi.com BlackRock’s GIP Teams Up with Temasek, L’IMAD, and ADNOC in $30 Billion Infrastructure Push

TLDR: BlackRock’s GIP partners with Temasek, L’IMAD, and ADNOC to target $30B in infrastructure deals across the Gulf. The alliance will raise equity and debt capital for greenfield and brownfield assets across key sectors. L’IMAD, launched in December, already manages an estimated $300 billion in assets under its portfolio. A $15 billion Abu Dhabi investment [...] The post BlackRock’s GIP Teams Up with Temasek, L’IMAD, and ADNOC in $30 Billion Infrastructure Push appeared first on Blockonomi.

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blockonomi.com Formal Verification vs Audits: Why “We Checked the Code” Is No Longer Enough

I used to sleep soundly after audits. I don’t anymore. The first time I watched a post-audit protocol lose $30 million to a state interaction the auditors missed, I told myself it was an edge case. The second time, I blamed the scope. The third time — somewhere around the fifth post-mortem I’d read that [...] The post Formal Verification vs Audits: Why “We Checked the Code” Is No Longer Enough appeared first on Blockonomi.

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bitcoinmagazine.com Ledger, Consensys Get Cold Feet as Crypto IPO Window Slams Shut

Bitcoin Magazine Ledger, Consensys Get Cold Feet as Crypto IPO Window Slams Shut Crypto hardware wallet maker Ledger has paused plans for a U.S. IPO amid weak crypto market conditions and is instead considering alternatives including a private funding round. This post Ledger, Consensys Get Cold Feet as Crypto IPO Window Slams Shut first appeared on Bitcoin Magazine and is written by Micah Zimmerman.

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blockonomi.com China’s Yuan Hits 3-Year High as Trump-Xi Summit Shapes Market Sentiment

TLDR: China’s yuan touched a 3-year high after the PBOC set its strongest midpoint rate since March 2023. The Shanghai Composite fell 1.52%, its worst session in two months, driven largely by profit-taking. Analysts say markets are growing less sensitive to Sino-U.S. trade news, shifting focus to technology. Xi and Trump agreed to pursue a [...] The post China’s Yuan Hits 3-Year High as Trump-Xi Summit Shapes Market Sentiment appeared first on Blockonomi.

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forklog.media DFDV Increases Solana Holdings to $325 Million

The American firm DeFi Development Corp. (DFDV) released its first-quarter report. The amount of Solana per share rose by 108% year-on-year to 0.067 SOL. As of May 13, the firm holds 2,294,576 SOL ($325 million). To accumulate assets, DFDV employs staking, its own validators, and allocates 25% of reserves in DeFi protocols. The company's head, Joseph Onorati, stated that the firm's strategy differs from Strategy's approach. According to him, the Solana ecosystem provides tools unavailable to Bitcoin treasuries: native yield and protocol composability. Despite the growth in crypto reserves, the company recorded a net loss of $83.4 million. This is due to the 50% drop in Solana's price over the year—currently trading around $91. Meanwhile, the company's revenue increased to $2.6 million. Hourly chart of SOL/USDT on Binance. Source: TradingView. DFDV also repurchased its convertible bonds maturing in 2030 for $4.4 million—at a 41% discount for fiat. The management confirmed plans to reach 0.075 SOL per share by June. The long-term goal of 1 SOL per security by the end of 2028 remains unchanged. DFDV shares on the Nasdaq are trading at $4.65 (-3.12% for the day). Source: Google Finance. CoinGecko tracks 20 organizations with a total holding of 18.4 million SOL (approximately $1.68 billion)—accounting for 2.95% of the coin's total market supply. Source: CoinGecko. The top five holders include Forward Industries, Upexi, Sharps Technology, and Solana Company. Earlier, on May 12, Upexi reported a net loss of $109.3 million for the third quarter.

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forklog.media Meta to Introduce Encrypted AI Chat on WhatsApp

Meta's CEO Mark Zuckerberg announced the launch of Incognito Chat, a feature for confidential communication with AI in Meta AI and WhatsApp. According to him, the service does not store conversation history on servers and uses end-to-end encryption, ensuring that no one, including the corporation itself, can read the correspondence. “Incognito Chat processes all AI responses in a secure execution environment, which ensures your messages are inaccessible to us,” he noted. The product differs from other similar solutions, where conversation logs are often stored on company servers “for many months.” “To get the most out of personal superintelligence, we all need the ability to discuss delicate topics in a way that no one can access the correspondence. I am proud that MSL is the first lab to provide a private AI,” Zuckerberg stated. Google stores data from temporary Gemini sessions for up to 72 hours, ChatGPT for up to 30 days, and Claude for at least a month. Incognito Chat is built on the Private Processing technology that Meta launched in 2025 for WhatsApp. The feature will be available “in the coming months.” Lawsuits Involving OpenAI ChatGPT logs were at the center of recent legal proceedings related to mass shootings in Tumbler Ridge (Canada) and at Florida State University. Sam Altman and his company were accused of ignoring the shooters' alarming messages. In a new lawsuit, the parents of a young man who died last year from a drug overdose accused OpenAI and the startup's head of “encouraging” the intake of a dangerous combination of substances. Layla Turner-Scott and Angus Scott claim that their 19-year-old son Sam Nelson used the chatbot to get recommendations on combining various drugs. Back in April 2026, Meta began collecting data on employee actions to train AI agents.

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blockonomi.com Bitcoin Faces $853M Selloff as Hot PPI Data Fuels Stagflation Fears

TLDR: Core PPI jumped 1% month-over-month, far exceeding the 0.2% forecast, signaling persistent inflation. Binance recorded $853M in BTC selling flows in one hour, accounting for 91% of total market selloff. Fed rate cut expectations for 2026 have been fully priced out following the hotter-than-expected PPI print. Bitcoin is retesting the $78K–$79K support zone, with [...] The post Bitcoin Faces $853M Selloff as Hot PPI Data Fuels Stagflation Fears appeared first on Blockonomi.

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blockmanity.com 2026 U.S. Crypto Equity Market Report: Top Opportunities, Risks & Smart Investment Guide

2026 Report: Top Opportunities, Risks & Smart Investment Guide The U.S. stock market now has a big crypto sector. It includes products that trade crypto-related assets on normal stock exchanges. Investors can buy in using regular brokerage accounts. No need […] The post 2026 U.S. Crypto Equity Market Report: Top Opportunities, Risks & Smart Investment Guide appeared first on Blockmanity.

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blockonomi.com Nvidia CEO’s Foundation Donates $108M in CoreWeave Computing to Researchers

TLDR: Nvidia CEO’s foundation purchased $108.3M in CoreWeave computing time for university and nonprofit AI research. Nvidia offered free engineering services to select institutions receiving the CoreWeave computing grant donations. Nvidia invested $2 billion in CoreWeave in January, making it the company’s second-largest shareholder at the time. Nvidia’s $6.3B CoreWeave deal guarantees chip purchases of [...] The post Nvidia CEO’s Foundation Donates $108M in CoreWeave Computing to Researchers appeared first on Blockonomi.

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news.bitcoin.com Casper Network Plans Quantum-Safe Keys in 2027 to Protect Tokenized Assets

The Casper Association has launched a multi-year technical roadmap focused on institutional-grade infrastructure for real-world asset tokenization and artificial intelligence-driven commerce. Bridging the Ethereum Ecosystem The Casper Association on May 12 unveiled a multi-year technical roadmap aimed at positioning the Casper Network as the primary infrastructure for regulated asset tokenization and the burgeoning machine-to-machine economy. […]

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forklog.media Big Tech developers say AI is eroding their skills

Developers at large technology firms have grown disillusioned with using artificial intelligence for programming and complain of skill loss, according to 404media. Coders say AI-generated code often contains errors. Reviewing and fixing it can take longer than writing from scratch. "We are being forced to use AI agents to make sweeping changes across the entire codebase. Assessing the quality and safety of that volume is simply impossible, especially given that hundreds of programmers are doing the same thing," said a UX designer at a technology company. The expert added that the team is accruing "a pile of technical debt" that will be impossible to untangle once models become prohibitively expensive. Tech executives are eager to tout the share of code generated by AI: In April, Google said 75%; in 2025, Microsoft CEO Satya Nadella put it at 30%; Anthropic — 90%; Meta boss Mark Zuckerberg predicted that within 12–18 months neural networks will write most of the code that improves AI itself; Meanwhile, industry-wide layoffs continue — companies cite automation and cost-cutting. The boost never came 404media writes that "the huge productivity leap delivered by artificial intelligence" has not led to more or better product. Developers deny that AI helps them at work — yet they are required to integrate it into their workflows. "Using an LLM in one form or another is a mandatory requirement. Its use is part of performance evaluation criteria. We are literally being flooded with AI tools, and the answer to any problem is to 'try artificial intelligence first'," said a programmer at one of the FAANG companies. Because performance reviews are tied to adopting the technology, most developers use AI "to tick a box". An engineer at a fintech company said using LLMs is not mandatory but encouraged: developers are given access to Cursor. A programmer at a small web-design firm stressed that AI assistants in the IDE have not boosted productivity — the code contains errors and every line has to be rechecked. "Another developer works with me on contract. He generates huge volumes of code, leaving me with more than 1,000 lines of pull requests to review, and that takes a tremendous amount of time. As a result, I feel more tired and burned out than at any time in my life," the engineer said. A coder in fintech added that AI can generate more code than the team can review or explain. "As a result, you either throw it away or ship it, fearing there may be elements of very low quality," he explained. AI is useful, sometimes Developers concede that AI does handle some tasks — for instance, quickly assembling prototypes and implementing solutions in unfamiliar domains. One engineer said LLMs are handy with large volumes of information: they find where a request is handled on the server, summarise data from logs and help search documentation on code changes. Skills are deteriorating As AI embeds deeper into workflows, developers are losing skills honed over years. Researchers call this phenomenon "cognitive debt" or "cognitive atrophy". A programmer at a small web-design company said he once could not remember how to implement an API in Laravel — and it "scared me to death". "It is like when mobile phones arrived and we stopped memorising numbers. For me it has grown into outsourcing the thinking process. My critical thinking and ability to sit down and think through a problem or a project have deteriorated," commented a software developer in finance. AI is here to stay Most engineers agree that large language models will remain and continue to play a role in programming. The question is how the industry will cope with management's current obsession with the technology, particularly when training new generations of developers. "We are hiring junior programmers who rely on AI to perform the simplest tasks. They do not have the knowledge or experience to recognise when the outputs of neural networks contain errors or are inefficient," said the UX designer. In August 2025, Coinbase fired programmers who refused to use artificial intelligence in their work.

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blockonomi.com Bitcoin Crash Wipes Out $109.7M in Long Positions as Outflows Dry Up and Shorts Dominate

TLDR: Bitcoin exchange outflows dropped to 19,995 BTC on May 11, far below the period’s daily average of 25,600 BTC. Funding rates turned deeply negative between May 8–10, confirming traders were aggressively building short leverage positions. On May 12, long liquidations hit 11.8 times the volume of short liquidations, reflecting a one-sided market collapse. A [...] The post Bitcoin Crash Wipes Out $109.7M in Long Positions as Outflows Dry Up and Shorts Dominate appeared first on Blockonomi.

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