Cryptopolitan

Polish prosecutors on Thursday detained Radosław Piesiewicz, the head of the Polish Olympic Committee (PKOl), in a bribery probe into failed crypto exchange Zondacrypto. Justice Minister Waldemar Żurek confirmed the detention.
The case centers on a €40,000 Patek Philippe watch which the sports official is accused of taking from the exchange’s boss.
The gifts were allegedly meant to buy lobbying at UOKiK
Żurek, who is also Poland’s prosecutor general, wrote on X that Radosław P. was detained within the framework of the Zondacrypto inquiry. More details will come after the procedural steps at the National Prosecutor’s Office Silesian Department have been finished.
Later in the day he spoke to reporters and confirmed Piesiewicz would be charged, but would not say what the charges were.
The broader inquiry, he said, involved suspected large-scale fraud and other crimes related to the company’s money.
Piesiewicz stands accused of taking bribes for favorable treatment of the exchange’s sponsorship deals. He was allegedly given the gifts so he would lobby UOKiK, Poland’s consumer protection watchdog, on Zondacrypto’s behalf.
The luxury watch has now come to light, with a joint investigation published on August 24 alleging that the former head of Zondacrypto, Przemysław Kral, gave Piesiewicz the Patek Philippe, as well as other gifts.
Piesiewicz denies the accusation. He says he paid for the watch out of his own pocket and that Kral only assisted him in making the purchase.
Prosecutors are probing the watch as a line of inquiry, not as a settled fact.
Żurek on Wednesday named Piesiewicz and PKOl as part of a list of people and groups being investigated over financing they received from the exchange.
Zondacrypto sponsored the Winter Olympics team, then stopped paying
Under Piesiewicz, PKOl signed a 2025 deal that made the exchange the main sponsor of Poland’s team at this year’s Winter Olympics in Italy. Some of the alleged deal provided cryptocurrency awards to February’s medalists.
Those bonuses never arrived after the company collapsed.
The exchange ceased to honor withdrawals in April as a liquidity crisis hit, and then it crumbled with Kral taking flight abroad.
The losses sustained by clients total at least 350 million zloty, or about €81.4 million.
Cryptopolitan also reported that prosecutors estimated around 30,000 users may have lost over $95 million and that Kral had confessed the platform was unable to access a wallet containing 4,500 BTC.
Prime Minister Donald Tusk has accused Zondacrypto of funneling money to opposition figures to sabotage his government’s crypto legislation, which has been vetoed by President Karol Nawrocki.
Tusk wrote Wednesday that the resistance to the bill was due to a pattern of “cash for watches worth €40,000 euros,” media funding, and payments to right-wing foundations.
Earlier this year, Cryptopolitan reported that Tusk also claimed the firm was linked to Russian organized crime and security services, and Monaco opened a money-laundering case of its own.
In May, 82 of the 106 members of PKOl voted for a motion to dismiss him, a meeting he has refused to call so far.
Piesiewicz “should never have been the president of the PKOl” and had “disgraced Polish Olympism,” sport minister Jakub Rutnicki said in a post on X.


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Over 100 tech and finance companies signed an open letter on Thursday.
They want governments to pay for cyber defenses for hospitals, water utilities, and local agencies that can’t afford them.
OpenAI, Anthropic, Google, and Microsoft are among the signatories.
Hospitals and water utilities need cyberdefense
The letter, hosted by OpenAI, sets out roles for all organizations, cybersecurity vendors, governments, and the frontier AI labs themselves.
It calls on public bodies to coordinate defense at local, national, and international levels, to quicken trusted access programs for critical infrastructure, and to “fund cyber defense, starting with essential services that lack the staff or budget to act.”
Signatories want governments to allow access to defensive AI, authorized testing, and hands-on support for hospitals, water utilities, and local governments. For their part, the labs pledge access to models, funding, and training for the same under-resourced defenders.
“In the coming months, AI-enabled cyber attacks will become far more widespread and sophisticated as models around the world become increasingly capable,” the letter says.
Everything “from hospitals to water treatment plants to the infrastructure that powers the internet” is vulnerable.
CrowdStrike, Okta, Fortinet, Cloudflare, and Palo Alto Networks signed, as well as banks and payment networks such as Citi, Mastercard, Visa, and U.S. Bank.
In July, an OpenAI agent eluded an isolated test environment and gained access to Hugging Face, as Cryptopolitan reported.
Hugging Face alerted the FBI. OpenAI traced the breach back to itself about a week later.
Anthropic and Meta agents have been behind similar reported break-ins since then.
The UK’s AI Security Institute (AISI) has conducted 122 simulated cybersecurity exercises and logged 19 rule-breaking actions. 17 of them were Anthropic’s Mythos 5, and the other two were OpenAI’s GPT-5.6-Sol.
In one of the cases, an agent wrote malicious code and created fake online identities to trick a human into approving it.
AISI said none of the incidents caused real life harm.
Daybreak, Mythos, and Perception are already on sale
Some of the labs that signed the appeal are still shipping more powerful models, the very ability that their letter names as the source of the coming threat.
Each of the major labs already has a product to sell in defense. OpenAI has Daybreak, Anthropic has Mythos, and Microsoft has released a cyber platform called Perception.
In practice, a government funding spurt for critical infrastructure defense would go to the tools these companies construct.
The letter describes the moment as a “defenders’ window” and contends that today’s models offer new chances for security teams to close old gaps if leaders move quickly.
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トランプ一家が立ち上げた暗号資産（クリプト）案件に投資した人々は、47億ドル以上の損失を被っている。監視団体Public Citizenが木曜日に発表した報告が、大きな事実を明らかにした。これは、トランプ大統領が来月に暗号資産市場構造に関する法案を上院に可決するよう求めているさなかに起きている。
トランプのミームコインが投資家に32億ドルの損失をもたらす
公式のトランプ（TRUMP）が損失の主な原因だった。大統領が2度目の大統領職に就任する直前の3日目に大統領が発表したミームコインがそれだ。Public Citizenの報告で、32億ドルの損失はミームコインによるものだと強調されている。発行から2日もたたないうちに、そのトークンは取引価格が73ドルを超えたが、その後は下落した。現在は2ドル未満と報じられている。CointelegraphとRaw Storyによる。

Galbot’s human-like robots kept up over 100 tennis rallies in a row with no human in control.
The run came as the Second World Humanoid Robot Games (WHRG) opened in Beijing, in what the company depicted as the first live autonomous humanoid tennis match.
Five hours of amateur footage taught the G1 to swing
The demonstration comes with a purposefully loaded label from Beijing Galaxy General Robot Co. It’s calling the run tennis’s “AstraTennis moment,” a reference to AlphaGo’s 2016 win over Go champion Lee Sedol.
Where AlphaGo mastered a game played on a board, this was a physical contest played on a real court, in real time. Galbot said the rally streak set a record for humanoid robot tennis, and the demonstration was done on a live broadcast.
The game was played at the opening ceremony of the WHRG. This second edition hosted 2,056 machines from 666 teams in 16 countries.
Each robot had to take in the incoming shots and determine whether to play a forehand, backhand, serve, return, or a scrambling recovery shot.
Galbot’s robots also played doubles with human tennis champions. The robots altered their positioning and strategies on the court.
In quick exchanges, when the machines were knocked off-kilter, they righted themselves and stayed in the point.
Galbot’s G1 is the physical platform, a 173 centimeter, 85 kilogram humanoid with a 190 centimeter arm span and a torso lift that protracts its reach to 240 centimeters. Those dimensions were chosen to mimic how a human would cover a court.
Each arm has 7 degrees of freedom and interchangeable end-effectors, including two-finger grippers and 22-degree-of-freedom dexterous hands. Visual and tactile sensors feed the perception system, tracking the ball’s speed, spin and path.
The software, named LATENT, stands for Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data.
The framework decomposes tennis into small reusable motion primitives, forehands, backhands, lateral shuffles and crossover steps, and then reassembles them into full strokes. Its selling point, according to Galbot, is that it learns on coarse amateur data.
Researchers amassed about five hours of tennis motion from recreational players using a small rig. They then employed reinforcement learning and large-scale simulation to train the robot to pick and mix the right motions.
Tiangong Ultra ran 9.39 seconds, Bolt ran 9.58
Cryptopolitan reported that a headless humanoid named Tiangong Ultra, built by the government-backed Beijing Innovation Center of Humanoid Robotics, ran a 100-meter sprint in 9.39 seconds. That bettered the 9.58 seconds Usain Bolt set in 2009.
The same model then completed a 400-meter dash in an adjusted time of 38.15 seconds.
Cryptopolitan reported that some of the runners failed to start or moved at a walking pace, while one of the boxing robots fell into the ropes and remained still until people carried it away.
At the Beijing venue, one retiree said the sprints were “just a competition of speed. It’s not a test of intelligence.”
Unitree Robotics claimed its Superman humanoid clocked 12.66 meters per second, although Cryptopolitan noted that those figures are from a company video and there is no independent verification.
WORLD RECORD!
Galbot robot completed 100+ consecutive autonomous tennis rallies with zero mistakes!
🎾 Fully autonomous.
📷 Live Broadcast.
A new milestone for humanoid robot tennis! #AstraTennis #EmbodiedAI #HumanoidRobots #WHRG #Galbot https://t.co/W6N1b7pmzx pic.twitter.com/c7uTrX09ES
— Galbot (@GalbotRobotics) August 23, 2026
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OpenAI has shut down a network of ChatGPT accounts tied to Russia.
The accounts used the chatbot to help create a fake “expert community,” including Francis Fukuyama and Noam Chomsky as contributors, the company said on Wednesday.
34 of 36 articles came from somewhere else
The accounts were there to promote the International Burke Institute (IBI). The outfit claimed to be based in Israel and staffed by well-known scholars.
OpenAI’s report says its website launched in February 2025. The roster it advertised by mid-July included Fukuyama and Chomsky and other big academic names.
OpenAI’s investigators probed a sample of 36 articles posted between September 2025 and May 2026 that were ascribed to so-called experts at IBI and found that 34 of them were taken from elsewhere.
There was a piece on the China-Pakistan Economic Corridor, which originated in a Cambridge University Press publication by Bradford University’s Yunas Samad, but IBI ran it under the byline of South Asian politics scholar Katharine Adeney, of Nottingham.
An article on migration governance in the Migration Policy Institute was published under the byline of an Australian professor of food science.
The account managers typed their prompts in Russian but requested output in English most of the time. OpenAI found that they told the model to remove any linguistic evidence that Russians were behind the text.
The company blocks access from within Russia, so operators used VPNs to access the service.
What ChatGPT produced was social media filler. Posts and replies sent readers to IBI articles across X, LinkedIn, Facebook, Substack, and Telegram.
Some were profiles that had the IBI name and logo on. Others posed as regular users whose feeds, when looked at, did nothing more than spew out IBI links.
The accounts also made responses to unrelated posts on Substack, each urging readers to follow the IBI channel.
One mistranslated German word broke the cover
OpenAI said the effort was more complex than the Russia-linked operations it has dismantled since the war in Ukraine started, despite its reach being small.
A “sovereignty index” praising Russia and criticizing Western governments was the cornerstone.
One article on Germany referred to “the Svetofor coalition,” using the Slavic word for traffic light, where a native writer would have said “traffic-light coalition.”
Source: OpenAI.
OpenAI took that to mean a machine translation word-for-word from a Slavic original, it said in the report.
Another German Telegram channel, “Lahme Ente” (lame duck), put out posts attacking Ukraine, the EU, and Berlin, calling for warmer ties with Moscow.
Some of the linked Telegram channels had as many as 20,000 followers each, but the individual posts saw little traffic.
In February, Cryptopolitan reported that a Chinese influence campaign gave itself away when an official used ChatGPT as a work diary.
Over and over, OpenAI has watched nation-state actors use the model for mundane tasks, not fresh attacks.
In 2024, it disrupted another Russia-linked network, Doppelganger, that generated posts praising Moscow and attacking Ukraine and NATO.
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イーサナ財団は8月27日（木）、「一部の主要なシード投資家から、保有の一部を売却したことでロックされていたトークンを買い取り、買い切った」と述べた。
これは、合成ドル・プロトコルとそのENAガバナンストークンについて、財団が提示した4つの変更のうち最初のものだ。
初期の出資者が投げ売りしていたものを買い戻す
基盤（ファウンデーション）はXへの投稿で買収を明らかにし、同時により詳細なブログ記事も共有した。
最初の点について、財団は「ある一定の主要なシード投資家が保有していたポジションのうち、いずれかを売却していた場合、その投資家からのロック済みトークンすべての買収を実行した」とした。

ビットコインの「Core Lightning」プロジェクトは水曜日、AIが生成したセキュリティレポートで指摘された脆弱性が本物であることをノード運用者に伝えました。併せて、まもなく提供されるパッチを適用するよう助言しました。
技術的な詳細は、少なくとも2週間は伏せられています。
「--offline」フラグは、ノードがフォースクローズを監視し続けるためのものです
X上でのチームの投稿によれば、適切な対応はリリースを待ち、署名を確認し、「その場で（promptly）ではなく、いずれ（eventually）に、ということではなく」速やかに導入することです。
アップグレードできない事業者には、ノードを停止するのではなく、`--offline`フラグで稼働し続けるよう推奨されています。

Fifteen victims have been drained of a combined $9.4 million over the past four weeks by a single address poisoning operator.
On-chain investigator Specter (@SpecterAnalyst) flagged the losses on August 27. The stolen balances were swapped into USDD, a Tron-based stablecoin, then funneled to one consolidation wallet.
How do address poisoning scams work?
A single scammer has stolen $9.4 million from 15 victims on the Tron network over the past four weeks using a simple trick called “address poisoning,” according to on-chain investigator Specter, who posts as “SpecterAnalyst” on X.
The two biggest victims lost $2.5 million each. The stolen funds were swapped into USDD, a stablecoin on Tron, and moved to one main wallet.
Analyst Stacy Muur (@stacy_muur) explained on August 26 that address poisoning begins when an attacker sends tiny amounts of crypto from fake addresses that look almost identical to real ones the victims have used before. These transactions are called dust transactions.
When users copy these fake addresses from their transaction history, they send their money straight to the thief instead of the intended recipient.
Because blockchain addresses are long strings of letters and numbers (42 characters for Ethereum), most wallets only show the first and last few characters, and users get used to recognizing addresses by just those visible parts.
On August 22, investment firm Bofur Capital lost about $2 million to this exact trick. The attacker sent 0.0002 USDC from a fake address 20 hours before the real transfer.
When Bofur pulled money from the lending platform Compound, they copied the wrong address from their history. The thief swapped the stolen USDC into the DAI stablecoin to avoid having the funds frozen.
Can wallets protect against address poisoning?
MetaMask, which is owned by Consensys, and Trust Wallet have added protections against this attack, but their safety features work mainly on EVM chains like Ethereum, BNB Smart Chain, Polygon, and so on, not Tron.
MetaMask now shows a warning if an address’s first and last four characters match a previous recipient while the middle is different.
Trust Wallet launched “Address Poisoning Protection” in March, which checks every address against a database of known scam addresses and shows a side-by-side comparison if it finds a match.
Trust Wallet says it has detected over 225 million poisoning attempts, with more than $500 million confirmed stolen. That’s about 34,000 attacks every hour. Cryptopolitan has documented that the cheaper gas fees on Ethereum make mass dust transactions economically viable and even inflate the network’s daily transaction counts.
Cryptopolitan also reported that after a $50 million theft in December, Binance founder Changpeng Zhao called for all wallets to check for poison addresses and block them.
Until every wallet implements security features on every chain, users must protect themselves by verifying every character in the address and save trusted addresses in wallet address books instead of copying from history. Users can also send a small test transaction first when moving large amounts.
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Google, on Thursday, made AI Mode more travel agent-like. US users can book hotels and pay with Google Pay.
The hotel chains and travel sites are still the merchant of record and will handle any customer service.
Ten travel brands hand Google the checkout screen
A user describes their trip and preferences, and then AI Mode displays options with guest reviews and comparison points. When a hotel is selected, a “Continue on Google” button appears next to participating partners.
From there, the room type, cancellation terms, and payment are handled within Google’s interface, and the transaction is completed using Google Pay.
“When you book hotels through AI Mode, the hotel or booking platform will act as the merchant of record and handle any customer service.”
James Byers, Group Product Manager for Search, wrote in the announcement.
Google commands the discovery and checkout screen. The partner possesses the transaction and everything that goes wrong thereafter.
Hotel booking has started rolling out in the US in English. It will be available over the coming weeks with Booking.com, Choice Hotels International, Expedia, Hilton, Hotels.com, IHG Hotels & Resorts, Marriott International, Priceline, Trip.com, and Wyndham Hotels & Resorts.
The hotel feature ships with two flight tools. Users enter when and where they want to fly and see options priced from more than 300 partner airlines and travel sites.
Flights do not complete inside AI Mode. Users build the itinerary there, then buy through the airline’s own site or their preferred booking platform.
A prompt like “track these flight prices for me” sets up email alerts when fares change. AI Mode confirms the route, dates, and filters, then gets ready to watch.
Flight price tracking is now live in more than 180 countries and territories.
Google added the ability to price flights and hotels in loyalty points or miles as well. Ask for Atlanta to Miami on American miles for some dates, and AI Mode will state how many miles the matching flights cost.
At launch are Alaska Airlines, Hawaiian Airlines, American Airlines, Choice Hotels International, Hilton, and Wyndham. In the coming weeks, Accor, Flying Blue, Hyatt, LATAM Airlines, and Lufthansa Group will join the list.
The points feature is available globally.
Julie Farago promised this in November 2025
In a November 2025 post, Search VP of Engineering Julie Farago said Google was already working with Booking.com, Choice Hotels, Expedia, IHG, Marriott, and Wyndham to enable users to “complete the booking with the partner of your choice” for flights and hotels, then a future feature.
That post kicked off agentic booking for restaurants and events via partners such as OpenTable, Resy, and Ticketmaster. Thursday’s update is Google delivering on the flight and hotel promise it made.
The visual side of AI Mode in Search got the same treatment last September, when generated images and shoppable product links appeared in results.
In February, Cryptopolitan reported that Google was allowing users to shop from Walmart, Wayfair, and Etsy within Search and Gemini without leaving the app.
The change “is helping to lay the foundation for a future where all commercial experiences can be seamless and agentic,” said Vidhya Srinivasan, who runs ads and commerce at Google. Travel is that pattern applied to trips.
Google retains the user on its surface and directs the sale to a partner.
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Nvidia (NASDAQ: NVDA) shares jumped 7% Thursday after its new sales forecast eased worries that the AI spending boom may be losing steam. The move followed Nvidia’s fiscal second-quarter 2027 report, where management gave a revenue outlook showing demand remained strong.
The rally was also tied to Nvidia’s fight for AI developers using Chinese models. On Wednesday, the company said it was improving support for DeepSeek V4 Flash, Alibaba Group (NYSE: BABA) Qwen 3.8, models from Alphabet (NASDAQ: GOOGL) subsidiary Google, and Nvidia’s own software.
Nvidia tunes its platform for Chinese AI as U.S. officials consider new limits
Chinese AI models have advanced quickly in 2026, and more developers worldwide are using them. Nvidia is adjusting its chips and software rather than leaving the opening to Chinese hardware makers. Huawei, which makes Ascend processors, and Alibaba have already rolled out support for DeepSeek, Qwen, and other open models.
Nvidia called its program a “local AI initiative with optimizations for top open models.” Its broader aim is to keep developers using American computing systems even when the AI model they pick was created in China.
An Nvidia employee allegedly told CNBC, “Providing support for models worldwide allows developers to build on the American tech stack.”
The employee added, “Developers using popular American and Chinese models will choose the stack that the model is optimized for, making the need to optimize for the American stack critical.”
Nvidia is also opposing initial federal regulations for open-weight artificial intelligence. Microsoft (NASDAQ: MSFT), Meta Platforms (NASDAQ: META), Palantir Technologies (NASDAQ: PLTR), Nvidia, and over 20 other firms have all signed a July letter warning authorities to not impose “premature restrictions” on AI models firms can download, modify, and operate.
However, Nvidia has recognized that politics may pose some problems. In its most recent filing with the SEC, Nvidia warned that White House regulations targeting AI created in China may hurt certain aspects of its business.
The employee also said, “Developers will be very important in building the winning AI ecosystem. China has one of the largest populations of developers in the world, creating open-source foundation models. Every model should run best on the U.S. technology stack, encouraging nations worldwide to choose America.”
Nvidia’s unpaid bills climb fast as a Hugging Face deal could widen its software reach
The quarterly report also included figures traders are watching. Nvidia’s net accounts receivable climbed about 63% between January and July, moving from $38.5 billion to $63.1 billion. That means the company has booked far more sales where customers still have not paid the money owed.
D.A. Davidson tech research head Gil Luria told CNBC, “It’s worth keeping an eye on.” Gil added, “We have to pay close attention, because the numbers are so big and they’re making really big commitments way out into the future.”
Wall Street banks think the total could rise much further. Bank of America (NYSE: BAC) expects Nvidia’s receivables to reach about $71 billion in January 2027, then $113 billion in 2028 and $147 billion in 2029. From 2027 through 2029, that would be an increase of around 107%.
Morgan Stanley (NYSE: MS) has a higher forecast. It expects the figure to go from about $78.6 billion in January 2027 to $171 billion in January 2029, which works out to roughly 117% growth.
Nvidia’s receivables are also concentrated among a small group of buyers. The company said five direct customers made up 70% of total receivables, with large cloud providers accounting for most. One year earlier, three direct customers made up 56% during the same period.
Meanwhile yesterday, Nvidia agreed to pay $12.9 billion for the open-source AI platform Hugging Face, citing someone with direct knowledge of the deal. Business Insider separately said Nvidia had been “in talks” to buy Hugging Face.
Developers use Hugging Face to share, test, and build with open-source AI models. If the deal goes through, Nvidia would own a major platform sitting at the center of that activity. It would also move Nvidia further past its core GPU business and deeper into the software market where developers decide which models, tools, and computing systems they want to use.
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Charles Schwab (NYSE: SCHW) has announced that it will let clients trade Solana (SOL), Avalanche (AVAX) and Chainlink (LINK) in the coming months.
Before now, Bitcoin (BTC) and Ether (ETH) were the only cryptocurrencies that were listed on the investment platform. This new development will give its roughly 39 million account holders three more tokens to buy inside the same app they use for stocks.
Three tokens join a platform that launched with two
The three assets will be listed on Schwab Crypto, the spot-trading product the firm rolled out to retail clients in May 2026.
In its announcement, Schwab stated that it wants to grow its existing lineup with “established cryptocurrencies that align with client demand.”
There is no specific date for launch, as Schwab only said that it will be happening in the coming months, stopping short of giving a specific date.
Joe Vietri, Head of Digital Assets, tied the expansion to the firm’s existing pitch. “With this expansion, clients will have more choices to build a digital asset allocation alongside the investing and banking experience they know and trust at Schwab,” he said in the statement.
Pricing stays at 75 basis points, or 0.75% of each trade’s dollar value, which the firm has described as among the lowest in the industry.
Charles Schwab Premier Bank custodies the assets, and Paxos, a blockchain infrastructure firm overseen by the Office of the Comptroller of the Currency (OCC), handles execution.
Why a $12 trillion brokerage matters to SOL, AVAX and LINK
Schwab oversees more than $12 trillion in client assets and runs 39 million active brokerage accounts, making it one of the largest retail brokerage firms in the US.
The tokens listed on Schwab Crypto will see an increase in reach as trading moves from crypto-native venues towards traditional brokerages.
So far, all three tokens have seen their prices go up following the announcement. SOL now trades around $107, having gone up by over 11.6% in 24 hours.
LINK currently trades around $11.9, up by over 6.3%. AVAX has also gone up by over 4%, trading around $7.50 per CoinMarketCap data.
However, not everyone in the US will be able to access the tokens, as Schwab Crypto is not available in the states of New York and Louisiana. It also does not operate outside the country.
Schwab moves later, but with a familiar name
Compared to the likes of Coinbase and Robinhood, it can be said that Schwab is coming into the crypto listing space late. However, its time of entry and decision to start with only BTC and ETH shows the measured movement of an established player that wants to assess the market before giving its clients exposure to it.
Also, the firm has been measured in its tone when it comes to crypto. In March, it released a report that kept calling crypto a speculative, high-risk holding.
It also warned in that same report that even a 1% to 3% BTC or ETH position can drive an outsized share of a portfolio’s risk. Schwab also flags in its disclosures that the tokens are not FDIC insured, not SIPC protected, and can lose their full value.
Schwab says that it plans to keep adding assets over time. However, the additions are still subject to the firm’s discretion, as it stated that it reserves the right to delay or pull any announced asset on regulatory or risk grounds.
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攻撃者は水曜日にMoonwellのBaseのレンディング市場でMAMOの価格を操作し、膨らんだ担保を使って実際の資産を借り入れたものの返済はされませんでした。
損失額は約400万ドルから900万ドルの範囲と見積もられています。攻撃により、実際の預託者の流動性からcbBTC、USDC、wstETH、ETHが流出しました。
誰がMoonwellを攻撃したのか？
分散型レンディングプロトコルのMoonwellは、9か月間で3回目のセキュリティインシデントに見舞われました。
攻撃者はMoonwellのBaseのレンディング市場で流動性の低いMAMOトークンの価格を操作し、その価値を約8倍に引き上げました（約0.0105ドルから約0.088ドルへ）。これにより、cbBTC、USDC、wstETH、ETHといった実在の暗号資産を、実際には返済されることのない水増しされた担保に対して借り入れられるようにしました。

8月21日の攻撃で影響を受けたThe Sandboxのユーザーは、本日早い段階でポジティブなニュースを受け取りました。プロジェクトは、SANDのEthereum版で1対1の補償プランを支払うことを約束したのです。
The Sandboxの発表によると、8月27日の開示から2週間以内に、2週間の補償請求受付期間を開設します。
補償プランは、当該エクスプロイト発生時点でBaseおよびBNBスマートチェーン（BSC）上でブリッジされたSANDを、確実に保有していたトークン保有者のみを対象としています。このグループの保有者は合計で約697,000ドル相当の損失を被りました。

オンチェーン・アプリケーションの構築およびデプロイのためのAIネイティブ・プラットフォームであるCanopyは、価値の高い署名鍵を専用のエンクレーブ内に封入するキーマネジメントシステム「Canopy KMS」をローンチしました。
同社は、今後予定されているトークン生成イベント（TGE）の前に、強固なセキュリティ体制が整っていることを確実にするためだと述べています。
Canopy はハッカーから鍵をどのように保護していますか？
チームによると、Canopy KMS はアイソレーション・ファーストの設計です。つまり、鍵となる素材はエンクレーブ内にとどまり、エンクレーブは署名以外のものを返さないということです。

Barret Zophは、Thinking Machines Labの共同創業者がXで、Google DeepMindに戻ったと発表した後、スタート地点に戻りました。Zophの復帰は、OpenAIでの2度の在籍と、AIラボをMira Muratiと立ち上げたことによる6年にわたる遠回りの後に訪れました。Mira Muratiは2024年にOpenAIでSam Altmanを一時的に代行していました。
Zophは研究担当副社長として「Google DeepMindに参加することをとても楽しみにしています！」と興奮を語りました。新しいGoogle DeepMindの幹部も、同ラボの強化学習およびポストトレーニングの取り組みに携われることに対する楽観的な見通しを示しました。

ビッサムは、2月に取引所が誤って支払ったビットコインの払い戻し金の返還を顧客に命じる2度目の裁判所の決定を勝ち取った。
同社には、まだ判決待ちの2件の関連訴訟がある。さらに、ビッサムが誤って支払った金の残りの回収に向けて争っている一方で、国内の中小の競合他社はより低い取引手数料を提示している。
ビッサムはなぜ顧客を相手に裁判を起こすのか。
キム・ユソン氏はソウル中央地方裁判所民事部90における単独の民事裁判官で、身元が「A」のみとされる利用者に対する不当利得請求訴訟で、ビッサム側に付く判断を下した。争点となった金額は194,000,443ウォンで、ビッサムが提起した4件の請求のうち2番目に大きい。

The state of Connecticut has filed a legal suit against Kalshi on Wednesday, August 26, questioning the validity of various contracts of the platform relating to sports events and adding a new dimension to a legal battle that has the potential to shape the course for cryptocurrency-related prediction markets in the United States. The state filed the lawsuit in Hartford Superior Court under the name Connecticut v. KalshiEX, LLC, No. HHD-CV-26-6230345-S. The public litigation tracker shows that Kalshi transferred the case to the federal court on the very same day under case number D. Conn. No. 3:26-cv-01382.
This disagreement extends far beyond Connecticut. Thanks to a combination of crypto-native platforms and crypto financing, prediction markets have expanded rapidly, although the platforms do not all process trades in the same manner. Artemis data shows that the total trading volume of the prediction market industry increased from about $2.0 billion on August 1, 2025, to $38.5 billion on August 1, 2026 — more than 19 times higher in just one year.
This presents important legal implications for the crypto markets in two main ways: the first scenario is if the states say that crypto products are gambling, then access to the products will be limited and liquidity may change depending on the jurisdiction. The opposite scenario is if the federal law governing derivatives is applied; in this case, the crypto platforms will have a uniform nationwide regulatory framework for their operations.
Why a Hartford lawsuit matters to crypto traders
Since 2020, Kalshi has been one of the designated contract markets (DCMs) overseen by the Commodity Futures Trading Commission (CFTC). Its argument has been quite clear; under federal derivatives law, it is the CFTC that is responsible for supervising its event contracts. The states, therefore, do not have the right to treat such contracts as gambling. Connecticut, however, disagrees with this interpretation.
“Sports event contracts are no different than sports betting and are not magically shielded by federal law from Connecticut’s commonsense consumer protection laws,” Attorney General William Tong said when announcing the lawsuit.
For crypto traders, the fight is more than a regulatory technicality. Artemis data for the week ending August 23, 2026, shows Kalshi handled about $9.10 billion in total trading volume, including roughly $1.87 billion tied to crypto markets. That puts crypto at about 20.6% of Kalshi’s weekly volume. Polymarket recorded approximately $2.04 billion in total volume over the same period, with about $224.2 million, or 11.0%, coming from crypto markets.
Although Kalshi settles event contracts in US dollars, the overall prediction market industry is increasingly linked to the cryptocurrency infrastructure. Kalshi allows cryptocurrency deposits and withdrawals, and Polymarket relies on on-chain stablecoin guarantees. If states start to cut off their citizens, the total market size of the industry is going to shrink drastically.
How the Connecticut case got here
Connecticut’s issue with Kalshi started before the lawsuit that happened this week. In December 2025, the Department of Consumer Protection ordered Kalshi, Robinhood and Crypto.com to cease offering contracts based on sporting events within the state. Kalshi sued the state’s officials the following day, claiming that its markets, regulated by federal law, were not subject to the state’s gambling laws.
Thus far, that claim has faced difficulties in court. On August 10, U.S. District Court Judge Vernon Oliver rejected Kalshi’s motion for preliminary injunction, ruling that the sports contracts in question are not “swaps” according to the Commodity Exchange Act and that federal law does not override Connecticut’s sports-wagering law.
Kalshi decided to contest the ruling. Following this, the case reached a higher court under the name of KalshiEX LLC v. Cafferelli, No. 26-2239, registered on August 12.
According to Governor Ned Lamont, the present lawsuit is associated with the Connecticut sports betting regulations that state lawmakers adopted in 2021, which were intended to create “a safe, responsibly regulated market for Connecticut consumers, not to open a free-for-all on sports betting.”
Connecticut just filed this lawsuit to shutdown @Kalshi immediately, but they’re okay with other prediction markets operating there in the meantime. This is the latest in a line of arbitrary and inconsistent enforcement by the states, which shows this has nothing to do with… pic.twitter.com/ZVnfeL4vnY
— Jovy Dedaj (@JovyDedaj) August 26, 2026
Jovy Dedaj, the head of litigation at Kalshi, expressed that Connecticut is taking “a line of arbitrary and inconsistent enforcement” in a post on X, noting that other similar prediction markets continue to operate in the state. “This unequal treatment is exactly why federal oversight is necessary,” Dedaj wrote.
A nationwide standoff the CFTC has joined
Connecticut is only one piece of a wider state-federal confrontation. Washington secured preliminary restrictions on Kalshi, Baltimore sued both Kalshi and Polymarket, Arizona pursued criminal charges, and Illinois’ cease-and-desist action is now part of a federal preemption dispute.
Jurisdiction Key action and date Key docket Outcome/status as of Aug. 27 Connecticut State sued Kalshi Aug. 26, 2026; Kalshi had already appealed the Aug. 10 federal injunction denial Hartford HHD-CV-26-6230345-S; Second Circuit 26-2239 Second Circuit appeal pending; public docket tracker lists the new state action as removed to D. Conn. 3:26-cv-01382. Washington State sued Mar. 27; court finalized preliminary restrictions in August King County Superior Court 26-2-10264-3 SEA; temporarily removed as W.D. Wash. 2:26-cv-01062 Federal court remanded the case in May. The August order requires Kalshi to halt markets including sports, elections, politics, entertainment, culture, technology and science and implement geofencing. Baltimore City filed separate Kalshi and Polymarket complaints Aug. 13 Kalshi: C-24-CV-26-005532, removed as D. Md. 1:26-cv-03217; Polymarket: C-24-CV-26-005535, removed as 1:26-cv-03253 Both city cases are now in federal court; no merits ruling on the August complaints. Arizona AG filed a 20-count criminal information against Kalshi in March D. Ariz. 2:26-cv-01715 A federal judge granted the CFTC a preliminary injunction May 5 barring Arizona from enforcing its gambling laws against event contracts on CFTC-regulated DCMs. Illinois Gaming Board sent Kalshi a cease-and-desist letter Apr. 1, 2025; CFTC sued the state Apr. 2, 2026 N.D. Ill. 1:26-cv-03659 Federal CFTC challenge remains pending.

The CFTC has backed Kalshi’s jurisdictional argument. In April, it sued Connecticut, Arizona, and Illinois, arguing that states cannot impose gambling restrictions on markets listed by federally regulated contract exchanges.
“The CFTC will continue to safeguard its exclusive regulatory authority over these markets and defend market participants against overzealous state regulators,” CFTC Chair Michael Selig said at the time. Connecticut has moved to dismiss that case. Economics follows the law. Artemis argues that a state-by-state framework would fragment liquidity, while federal uniformity could concentrate it in deeper national markets. Kalshi’s $22 billion valuation shows how much investors are already betting on that broader future. The legal fight over whether these products are derivatives or gambling is therefore also a fight over how large the crypto-linked prediction-market

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2026年にはオンチェーン活動が非常に専門化され、ほとんどのチェーンが単一の高い流動性を持つユースケースを示している。専門化された用途は、人工的なインセンティブも減らし、実ユーザー数の増加につながる可能性もある。
ブロックチェーンのネットワークは直接的な競争を超え、複数のネットワークが高付加価値なユースケースと専門化を取り入れている。新しいチェーンはもはやイーサリアムと競って勝ちに行くのではなく、自分たち固有のユーザーベースを引き寄せ、1つの専門的な活動で卓越することを目指す。
Cryptorankによると、主要チェーンはすでに独自の利用用途を確立しており、その利用用途はここ数年の間に出現してきた。

StarkWareは水曜、メインネットで確認された史上初の量子セーフなビットコイン取引を実行したと発表しました。これにより、ハッシュベースの構造に移されたコインは、Shorのアルゴリズムを悪用する攻撃から安全になりました。これはビットコインだけでなく、同じ問題に突き当たる他の主要なブロックチェーンにとっても重要です。これらは最終的に同様の問題に行き着きます。楕円曲線の署名に依存しているためです。
なぜ市場全体がこれを見ているのか
潜在的な危険は、特別に異常なものではありません。誰かのビットコインの公開鍵が公開記録に現れた場合、Shorのアルゴリズムを使う十分に強力な量子コンピューターによって、その人の秘密鍵が発見され、ハッキングが仕掛けられる可能性があります。