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blockonomi.com $150M DSJ Exchange Ponzi Scheme Collapses; $41.5M Frozen After Multi-Chain Laundering

TLDR: DSJ Exchange and BG Wealth Sharing defrauded over $150M from victims since launching in 2025. Illicit actors laundered $92M+ across blockchains using swaps, bridges, and hundreds of wallets. ZachXBT traced $93M in fund outflows and helped Tether freeze $38.4M in USDT on May 4, 2026. Thirteen regulators across five continents had already issued public [...] The post $150M DSJ Exchange Ponzi Scheme Collapses; $41.5M Frozen After Multi-Chain Laundering appeared first on Blockonomi.

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blockonomi.com Bitcoin Price Prediction Faces Strategy Earnings Pause While Whales Buy 270,000 BTC and Pepeto Presale Goes Viral, Here Is What You Need To Know

The bitcoin price prediction for May 2026 depends on what happens after Strategy reports Q1 earnings on May 5, according to CoinDesk. Michael Saylor paused weekly Bitcoin buys for only the second time this year, but told followers on X that purchases resume next week. The bitcoin price prediction sits at a turning point because [...] The post Bitcoin Price Prediction Faces Strategy Earnings Pause While Whales Buy 270,000 BTC and Pepeto Presale Goes Viral, Here Is What You Need To Know appeared first on Blockonomi.

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btcmanager.com Bitcoin surges above $80,000 on $629M ETF inflows: AJC Mining offers free cloud mining, helping users boost their earnings potential

AJC Mining’s free cloud mining service gives global users an easy way to join the crypto market and explore higher earning opportunities amid Bitcoin’s latest rally. The global cryptocurrency market is entering a new wave of momentum as Bitcoin recently…

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news.bitcoin.com Circle Stock Jumps 20% to $119.53 as Tillis Deal Pushes Clarity Act Forward

Circle shares surged nearly 20% on May 4, closing at $119.53, after U.S. Senators Thom Tillis and Angela Alsobrooks reached a bipartisan compromise on the CLARITY Act’s stablecoin rewards language. Key Takeaways Tillis and Alsobrooks reached a May 4 deal to ban stablecoin rewards functioning like bank interest. Circle (CRCL) stock surged nearly 20% to […]

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cryptobriefing.com Ash Ashutosh: The shift to agent-centric systems is revealing flaws in data retrieval, AI agents struggle with task completion rates below 50%, and vector databases are key to enhancing knowledge engines | AI + a16z

Vector databases are revolutionizing AI efficiency by boosting data retrieval accuracy from 68% to over 90%. The post Ash Ashutosh: The shift to agent-centric systems is revealing flaws in data retrieval, AI agents struggle with task completion rates below 50%, and vector databases are key to enhancing knowledge engines | AI + a16z appeared first on Crypto Briefing.

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blockonomi.com Uniswap DAO Moves to Reclaim $42M in UNI Tokens Loaned to Delegates and Foundation

TLDR: Uniswap DAO is voting to reclaim 12.5M UNI tokens worth $42M loaned to delegates between 2022 and 2023. Passed proposals now average 75M votes in turnout, exceeding governance quorum by roughly 88% consistently. Critics argue a16z crypto and large token holders dominate DAO voting, leaving smaller UNI holders with little say. Reclaiming loaned tokens [...] The post Uniswap DAO Moves to Reclaim $42M in UNI Tokens Loaned to Delegates and Foundation appeared first on Blockonomi.

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blockmanity.com Tom Lee Signals Crypto Spring: Bitmine’s Massive ETH Buy Signals Market Recovery Underway

Is the Crypto Winter Finally Over? Big news from the crypto world: Bitmine Immersion Technologies chairman just declared that the has begun. He calls it “” and says it’s here even though many investors still feel cautious. This comes after […] The post Tom Lee Signals Crypto Spring: Bitmine’s Massive ETH Buy Signals Market Recovery Underway appeared first on Blockmanity.

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blockonomi.com Coinbase Cuts 14% of Staff to Build a Leaner, AI-Native Company Amid Crypto Market Pressure

TLDR: Coinbase is cutting 14% of its workforce due to market volatility and the rapid rise of AI-driven workflows. The company will flatten its org structure to five layers max, with leaders managing up to 15 or more direct reports. US employees affected will receive 16 weeks minimum base pay, equity vests, and six months [...] The post Coinbase Cuts 14% of Staff to Build a Leaner, AI-Native Company Amid Crypto Market Pressure appeared first on Blockonomi.

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blockonomi.com Two Platforms Defined Online Gambling. One Is Redefining It. Here Is Where ZunaBet Fits Alongside DraftKings And Bet365.

Some comparisons reveal how much has changed. DraftKings and Bet365 sit at opposite ends of the same story — one platform built its dominance in the United States through the specific circumstances of American sports culture and regulatory timing, the other built its dominance internationally through two and a half decades of relentless focus on [...] The post Two Platforms Defined Online Gambling. One Is Redefining It. Here Is Where ZunaBet Fits Alongside DraftKings And Bet365. appeared first on Blockonomi.

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bitcoinmagazine.com Sequans Sells Half Its Bitcoin Holdings as Revenue Falls and Losses Mount

Bitcoin Magazine Sequans Sells Half Its Bitcoin Holdings as Revenue Falls and Losses Mount Sequans Communications sold 1,025 bitcoin during the first quarter of 2026, cutting its digital asset reserves nearly in half. This post Sequans Sells Half Its Bitcoin Holdings as Revenue Falls and Losses Mount first appeared on Bitcoin Magazine and is written by Micah Zimmerman.

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forklog.media Crypto Fund Inflows Drop to $117.8 Million Amid Ethereum Outflows

From April 27 to May 1, inflows into crypto investment products amounted to $117.8 million. Positive momentum has been maintained for the fifth consecutive week, although growth rates have hit a record low for this period. Weekly inflow dynamics into crypto funds. Source: CoinShares. The total volume of assets under management remained at $155 billion. Investor activity decreased: inflows were recorded in only four assets compared to nine the previous week. From April 27 to 30, outflows totaled $619 million. The situation changed on May 1: $737 million flowed into the funds in a single day, offsetting all losses. This is one of the largest daily figures in 2026. Bitcoin remained the leader in inflows, with $192.1 million for the week. Since the beginning of the year, total inflows into the leading cryptocurrency have reached $4.2 billion. Interest in shorting instruments increased by $6 million. Weekly distribution of attracted capital by assets. Source: CoinShares. Ethereum ended its three-week growth streak, with $81.6 million withdrawn from funds based on the second-largest cryptocurrency by market capitalization. In the United States, inflows sharply decreased to $47.5 million from $1.1 billion the previous week. Germany attracted $43.8 million, and Canada $16 million. Weekly distribution of attracted capital by regions. Source: CoinShares. Back in April, from the 20th to the 24th, inflows into digital asset-based investment products amounted to $1.2 billion.

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blockmanity.com Bitcoin Surges to 3-Month High Above $80K: Altcoins Post Double-Digit Gains in Crypto Rally

Bitcoin Breaks Out with Massive Surge The crypto market is on fire today. Bitcoin has rocketed past $80,500 for the first time in three months. This big move ends a slow weekend and sparks joy across the board. After hovering […] The post Bitcoin Surges to 3-Month High Above $80K: Altcoins Post Double-Digit Gains in Crypto Rally appeared first on Blockmanity.

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forklog.media Coinbase to Cut Workforce by 14% and Focus on AI Integration

The cryptocurrency exchange Coinbase will reduce its workforce by approximately 14%. The company's CEO, Brian Armstrong, explained the decision as a necessity to optimize expenses and more actively integrate artificial intelligence into work processes. This is an email I sent earlier today to all employees at Coinbase:Team,Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the…— Brian Armstrong (@brian_armstrong) May 5, 2026 According to him, the company is adapting to market conditions. Even with sufficient capital, Coinbase aims to enhance operational efficiency ahead of the next industry growth phase. The second reason for the layoffs is the development of AI: technologies enable small teams to handle tasks that previously took weeks. As part of the restructuring, the exchange will change its operational model: limit the number of management layers to five; require managers to participate in work processes alongside executors; create AI divisions where one person can combine the roles of engineer and designer. Dismissed employees in the US will receive a minimum of 16 weeks' salary and six months of health insurance. Access to work systems was immediately revoked after the announcement to "protect customer data." Armstrong emphasized that the company's mission remains unchanged, and the changes will help Coinbase make decisions more quickly. Back in April, it was reported that Snap will replace 1,000 employees with neural networks to save $500 million.

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forklog.media Peter Thiel Invests $140 Million in Ocean-Based Data Centers

The American startup Panthalassa, which is developing autonomous floating data centers powered by wave energy, has raised $140 million, valuing the company at approximately $1 billion. Today we're announcing @_panthalassa’s $140M Series B, led by Peter Thiel, with participation from John Doerr and many other incredible investors. The mission: unlock the ocean as another planetary-scale energy resource for humanity. First stop: compute. pic.twitter.com/uNO2hehyEf— Garth Sheldon-Coulson (@garthsc) May 4, 2026 The round was led by billionaire Peter Thiel through his personal fund. According to the Financial Times, the funding also included participation from Gigascale Capital, Lowercarbon Capital, Unless, and several notable tech investors, including Marc Benioff, Max Levchin, and John Doerr. According to Panthalassa CEO Garth Sheldon-Coulson, the funds will be used to complete a pilot manufacturing plant in the United States and prepare for the deployment of the first commercial Ocean-3 nodes in the Pacific Ocean. Ocean-Based Data Centers Panthalassa is building computing nodes for artificial intelligence. Each node is an 85-meter steel autonomous platform. The platforms are planned to be placed in the open ocean. Initially, they will be towed horizontally across the water. They will then flip to a vertical position and reach their deployment site without engines, using a specially designed hull that harnesses wave energy. Ocean-2 Node. Source: X. The company does not disclose exact coordinates: the locations are in remote areas of the Pacific Ocean, away from shipping routes. Electricity is generated by water movement through built-in turbines, powering AI servers directly on board. The computation results are transmitted to clients via SpaceX's Starlink satellite network. Locating in the ocean addresses the cooling issue: seawater is used to dissipate heat, extending the lifespan of the chips. Representatives of the startup claim to have already tested several prototypes—Ocean-1, Ocean-2, and Wavehopper—in real conditions. The commercial launch of the first full-fledged Ocean-3 is scheduled for 2027. Exotic Energy Sources for AI Investor interest in Panthalassa is driven by the rapidly growing shortage of computing power. Amid the AI boom, the market is already seeking unconventional power sources for data centers—from restarting nuclear reactors to space-based solar stations. Peter Thiel described the startup's idea as opening "a new oceanic frontier of computation." He stated that the demand for computing will be enormous, and finding new energy sources is no longer science fiction. The head of Panthalassa noted that the energy of the open ocean could become one of the few truly scalable clean sources, capable of providing tens of terawatts of power—alongside solar, wind, and nuclear energy. In March, the Australian startup Cortical Labs introduced a "data center" based on human brain cells.

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cryptobriefing.com Securitize, Jump and Jupiter unveil first institutional-grade onchain secondary market for real stocks

The collaboration signifies a pivotal shift towards integrating traditional equities with blockchain, enhancing liquidity and regulatory compliance. The post Securitize, Jump and Jupiter unveil first institutional-grade onchain secondary market for real stocks appeared first on Crypto Briefing.

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bitcoinmagazine.com Kraken Partners With MoneyGram to Enable Crypto Cash-Outs at 500,000 Locations Worldwide

Bitcoin Magazine Kraken Partners With MoneyGram to Enable Crypto Cash-Outs at 500,000 Locations Worldwide Kraken will let users convert crypto into cash at MoneyGram locations across more than 100 countries, expanding access between digital assets and physical cash networks. This post Kraken Partners With MoneyGram to Enable Crypto Cash-Outs at 500,000 Locations Worldwide first appeared on Bitcoin Magazine and is written by Micah Zimmerman.

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bitcoinmagazine.com K Wave Abandons Bitcoin Treasury Plan, Shifts to AI Infrastructure Play with $485M War Chest

Bitcoin Magazine K Wave Abandons Bitcoin Treasury Plan, Shifts to AI Infrastructure Play with $485M War Chest Nasdaq-listed K Wave Media is abandoning its high‑profile bitcoin treasury plan and recasting itself as an AI infrastructure company. This post K Wave Abandons Bitcoin Treasury Plan, Shifts to AI Infrastructure Play with $485M War Chest first appeared on Bitcoin Magazine and is written by Micah Zimmerman.

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blockonomi.com Interhash Launched AI Compute for Mining Operations, Extending Infrastructure Beyond Bitcoin

First GPU-powered AI mining servers now operational – bridging the gap between Bitcoin mining and artificial intelligence workloads CEO of Interhash Alexander Lozben announced at the Bitcoin 2026 conference in Las Vegas that its first GPU-powered AI mining servers are live. The pilot marks the company’s entry into high-performance compute – not as a pivot from Bitcoin [...] The post Interhash Launched AI Compute for Mining Operations, Extending Infrastructure Beyond Bitcoin appeared first on Blockonomi.

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bitcoinist.com BREAKING – Layoff Shock: Coinbase To Eliminate 700 Jobs

American crypto exchange Coinbase will cut roughly 700 workers — about 14% of its global headcount — in a restructuring move the company says is driven by a slowing crypto market and a rapid shift toward AI-powered operations. Related Reading: Bitcoin Treasury Race Shifts: Strive Adds $34M BTC As Strategy Slows Down The cuts are […]

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bitcoinist.com Institutional Crypto Momentum Grows As Standard Chartered Invests In GSR

Before Standard Chartered’s investment arm took a stake in GSR, the crypto market maker had already made a move of its own. GSR invested in Libeara last month — a tokenization platform backed by SC Ventures — designed to help financial institutions issue tokenized assets. Related Reading: Bitcoin Treasury Race Shifts: Strive Adds $34M BTC […]

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blockmanity.com Kindergarten Teacher’s Sticker Blockchain Lesson: How Kids Accidentally Reinvented Cryptocurrency

Imagine Explaining to 5-Year-Olds Picture this: a kindergarten classroom full of excited kids. The teacher asks what their parents do for work. One kid says, “My dad mines crypto.” The room goes quiet. Then the questions start. What is crypto? […] The post Kindergarten Teacher’s Sticker Blockchain Lesson: How Kids Accidentally Reinvented Cryptocurrency appeared first on Blockmanity.

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forklog.media Anthropic co-founder forecasts ‘self-developing AI’ by 2028

By 2028, AI systems capable of designing and training their own successors without human involvement could reach the market, Anthropic co-founder Jack Clark said. "This is very important. I don't know how to process it. I come to this conclusion reluctantly, because the consequences are so great that I feel overwhelmed by them, and I'm not sure society is ready for the changes implied by automated AI development," he noted. Clark outlined a scenario of fully automated AI research—where a model independently: sets research goals; designs experiments; writes and tests code; optimises training; improves the architecture of the next version of the AI. He called this a "Rubicon into an almost unpredictable future" and put the probability of such a scenario at 60% over the next two years. What the estimate rests on Clark’s conclusion rests on the trajectory of several benchmarks: SWE-Bench — a test of solving real engineering tasks from a GitHub repository. At the end of 2023 the best models handled roughly 2% of cases; by spring 2026 the figure had reached 94%; CORE-Bench — reproducing the results of scientific AI papers with environment setup, code execution and analysis of conclusions. According to Clark, the benchmark is effectively "closed": modern agents score about 95.5%; MLE-Bench — performing ML tasks at Kaggle level. The best agentic systems already reach 64–65%. According to the Anthropic co-founder, all three metrics show one thing: AI is rapidly shifting from writing snippets of code to fully carrying out engineering and research tasks. Rising autonomy Another argument is the increasing duration of tasks that AI models can perform without human intervention. According to METR, in 2022 systems managed tasks that took humans tens of seconds. In 2024 the figure rose to about 40 minutes; in 2025, to six hours. Today, leading models can sustain engineering work for around 12 hours straight. Clark linked this to the spread of agentic programming tools. The longer a model holds a goal, checks intermediate results and fixes errors, the more stages of the research cycle can be delegated to it. Why this matters for AI development The current AI development loop follows a familiar pattern: study prior work, reproduce the result, set up an experiment, train or fine-tune a model, check metrics, find bottlenecks and repeat. Gains on SWE-Bench, CORE-Bench and MLE-Bench indicate that models already handle whole chunks of that loop. Clark also pointed to progress on more specialised tasks. For example, AI is beginning to be used to design GPU kernels—code that determines how efficiently models train and infer on specific hardware. Another strand is post-training models. In the PostTrainBench benchmark, AI systems improve small open-source LLMs. As of spring 2026, the best networks achieve 25–28% of the target gain (human teams, 51%). Clark deems the result significant: the target is set by real instruction-following models built by experienced researchers. Anthropic measured how its models optimise LLM training on the CPU. Over a year the speed-up rose from 2.9x (Claude Opus 4) to 52x (Claude Mythos Preview). Humans typically need four to eight hours for a comparable task. AI is already learning to manage AI Clark noted that modern systems are starting to coordinate the work of other agents. The approach is already used in products such as Claude Code or OpenCode: one assistant parcels out work among multiple sub-assistants, supervises them and aggregates results. For AI development this matters: it is rarely a single linear task — usually it is dozens of parallel processes, including writing code and configuring the environment. If a model starts managing such loops on its own, the degree of human involvement will drop sharply. Do neural networks need creativity In Clark’s view, one key question is what AI development most resembles: the discovery of general relativity or assembling Lego. He acknowledged that today’s LLMs are not yet able to generate fundamentally new scientific ideas. But that may not be necessary to automate a large share of AI R&D. "For the most part AI moves forward through people methodically running a certain cycle: take a well-performing system, scale some aspect of it, look at the errors when scaling and fix them. This requires very few out-of-the-box ideas, and most of this process looks like unglamorous rough engineering work," the expert noted. Early signs of scientific contribution Clark believes AI models are beginning to show early signs of scientific intuition. He cited several examples from mathematics and computer science: a team of mathematicians, using Gemini, checked around 700 Erdős problems and obtained 13 solutions, one of which researchers called a "slightly nontrivial" contribution to an open problem; scholars from the University of British Columbia, the University of New South Wales, Stanford and Google DeepMind published a mathematical proof found with substantial help from Gemini-based tools. What if the forecast is right Clark noted that the largest AI labs are already moving towards automating research. OpenAI intends to build an AI intern for independent scientific work, and Anthropic is publishing work on automatic alignment to human values. If the current pace holds, the industry will shift into a phase of fully automated AI development, he forecast — triggering a cycle in which each new generation of AI accelerates the arrival of the next. If the transition happens by the end of 2028, the world will face not only a technological leap, he said. Fundamental questions of safety, capital distribution, the role of human labour and control over systems that start developing faster than their creators will also come to the fore. "If you forced me to name a probability for 2027, I would say 30%. If we do not see this by the end of 2028, then I think we will have found some deficiency in the current technological paradigm, and human invention will be required to move forward," Clark concluded. In January, Anthropic CEO Dario Amodei predicted the imminent arrival of AGI and job losses.

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cryptopotato.com Ethereum Price Analysis: ETH Shows Breakout Signs but Danger Still Looms

Ethereum’s price action has transitioned into a stabilization phase after a strong reaction to this key demand zone shifted short-term sentiment. However, despite this rebound, the broader structure still reflects a market attempting to regain momentum while facing notable resistance overhead. Ethereum Price Analysis: The Daily Chart On the daily timeframe, ETH is clearly consolidating […]

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