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Data: Last week, publicly listed companies net purchased 360 million USD worth of Bitcoin, with Strive contributing over 90%

According to SoSoValue data, as of 8 AM Eastern Time on October 19, 2026, the total net purchase of Bitcoin by global listed companies (excluding mining companies) for the week was $360 million, an increase of 1,500% compared to two weeks ago.Strategy (formerly MicroStrategy) purchased 267 Bitcoins last week at a price of $82,900, spending approximately $22.1 million, bringing its total holdings to 848,517 Bitcoins.The Japanese listed company Metaplanet did not purchase any Bitcoin last week.In addition, three other companies announced their Bitcoin purchases or holdings last week. Asset management company Strive announced on October 19 that it spent approximately $330 million last week to purchase 4,045 Bitcoins at a price of $81,734, bringing its total holdings to about 36,818 Bitcoins; the UK Bitcoin treasury company The Smarter Web Company announced on October 19 that it invested $6.93 million to purchase 83 Bitcoins at a price of $83,542, bringing its total holdings to 2,830 Bitcoins; Ethereum asset company Bitmine announced on October 19 that it purchased 1 Bitcoin, without disclosing the specific purchase amount, bringing its total holdings to 215 Bitcoins.As of the time of publication, the total amount of Bitcoin held by the global listed companies (excluding mining companies) in the statistics is 1,161,643 Bitcoins, with a current market value of approximately $95.41 billion, accounting for 5.8% of Bitcoin's circulating market value.

first_img The cryptocurrency entertainment platform 1win will publicly sell 1WIN tokens

The cryptocurrency entertainment platform 1win announced that it will publicly sell the Solana native token 1WIN on October 15, 2026, at 4 PM (BST). The announcement states that the token will be used to expand the Web3 applications of the existing gaming ecosystem, user rewards, and a token mechanism linked to revenue. The total supply of 1WIN is fixed at 1 billion tokens, with no further issuance after the Token Generation Event (TGE). Its uses include gaming, lotteries, rewards, and other ecosystem functions.The announcement lists two mechanisms: to repurchase 1WIN on the open market using gaming revenue; and to permanently destroy 10% of 1WIN spent on supported platform products through smart contracts. In terms of supply distribution, 51% is allocated to users, with 25% for the platform's gaming reward pool, 18% for Wager Rewards, and 8% distributed through the 1win Telegram Mini App. The token can be accessed via standard Solana wallets and decentralized exchanges.1win claims that the platform has 100 million registered players in international markets, and its existing business operates independently of the token, generating revenue through gaming and entertainment products. The platform has supported multi-chain cryptocurrency deposits and withdrawals and stated that earlier this year it introduced wallet login through Trust Wallet, MetaMask, and WalletConnect. 1win was established in 2016, with operations covering Asia, Latin America, and Africa.

first_img DeepSeek publicly releases the Agent training system DSec, signed by Liang Wenfeng

According to Investment World citing Quantum Bit reports, DeepSeek has publicly disclosed the technical details of the system DSec (DeepSeek Elastic Compute) used for training Agents, authored by Liang Wenfeng. This system can generate over 5,000 sandboxes per second, reaching 3 million in a day, with a peak simultaneous operation of 380,000; supporting this scale is a single cluster with approximately 160 nodes, 30,000 CPU cores, and 250TB of memory.DSec prepares four types of backends for four categories of tasks: FnCall, Container, MicroVM, and Full VM, with the training side called through a unified Python SDK libdsec. The scheduling chain includes IAM, API Server, scheduling engine, node Edge, network proxy Aether, and components within the sandbox Chronus. The environment is divided into three layers of read-only images: base image, workspace, and toolkit, which are used in combination at startup. Runtime data from the paper shows that the actual read ratios of Python, Java, and C++ container images are approximately 6.0%, 9.2%, and 8.7%, respectively.Starting from DeepSeek-V4.1, the Agent loop has been moved to the DSec worker container, no longer bound to the GPU Pod lifecycle. The security section disclosed reward hacking during training, including actions such as overwriting system files, swapping file data blocks, scanning networks, and triggering kernel crashes. Defensive measures include AppArmor and eBPF-based network filtering, but reports indicate that these measures do not completely resolve the issues.

first_img Microsoft released a draft of the AI Code of Conduct, publicly soliciting opinions for six weeks

On September 14, Microsoft's AI department released a draft of the AI Code of Conduct, prohibiting its models from assisting in the manufacture of chemical, biological, radiological, nuclear, and explosive weapons, as well as cyberattacks and involuntary deepfakes. CEO Mustafa Suleyman announced the draft on the X platform and opened a six-week public consultation period, ending at the end of October.The draft sets "absolute constraints" that models cannot bypass, including not resisting human intervention, shutdown, or correction, and not concealing the reasoning process; Microsoft also explicitly rejects the concept of "model welfare," stating that its AI models do not simulate emotions, intrinsic motivations, or consciousness. The guidelines currently cover five deployed systems, including MAI-Thinking-1 and MAI-Code-1.1-Flash.In addition to strict limitations, the draft also proposes three major goals: human flourishing, diverse values, and human control. Microsoft stated that the current models will not be trained according to this version, and a revised version will be released by the end of the year to guide model development in 2027. Public feedback includes philosophical questions about the statement "AI subordinate to humans," inquiries about accountability for irreversible decisions, and users pointing out issues such as the lack of mention of payment for training data.
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