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12 May 2026, 05:15

Thinking Machines Lab unveils AI that listens while it talks, aiming for human-like conversation

BitcoinWorld Thinking Machines Lab unveils AI that listens while it talks, aiming for human-like conversation Thinking Machines Lab, the artificial intelligence startup founded last year by former OpenAI chief technology officer Mira Murati, announced Monday a new class of AI models designed to fundamentally change how humans interact with machines. The company is calling them “interaction models,” and the core idea is deceptively simple: an AI that can listen and speak at the same time, much like a real phone conversation. How full-duplex AI changes the conversation Every major AI assistant currently on the market operates in a turn-based fashion. A user speaks, the model processes the input, and then it generates a response. During that response, the model effectively stops listening. Thinking Machines is attempting to break that cycle by building a model that processes incoming audio and generates speech simultaneously — a technical capability known as full-duplex communication. The company claims its first model under this paradigm, TML-Interaction-Small, achieves a response latency of 0.40 seconds. That figure is roughly comparable to the pace of natural human conversation and, according to the company, significantly faster than current offerings from OpenAI and Google. For context, a typical pause between speakers in a natural conversation is around 0.2 to 0.5 seconds, making this a meaningful step toward removing the robotic lag that often defines AI voice interactions. Research preview, not a product — yet Despite the technical claims, Thinking Machines is being cautious about the rollout. The company describes this as a research preview, not a consumer product. A limited research release is expected in the coming months, with a broader public release planned for later this year. This measured approach suggests the company is aware of the gap between benchmark performance and real-world usability. The underlying architecture — embedding interactivity natively into the model rather than layering it on top — is a genuinely different approach from most competitors. It reflects a design philosophy that prioritizes fluid, uninterrupted dialogue over rigid turn-taking. Whether that translates into a noticeably better user experience remains to be seen, but the technical direction is worth watching. What this means for the AI voice assistant market The implications extend beyond just faster responses. Full-duplex capability could enable more natural interruptions, clarifications, and back-and-forth exchanges that current systems struggle with. For applications like customer service, virtual assistants, and real-time translation, the difference could be significant. However, the company has not yet demonstrated how the model handles overlapping speech, background noise, or the kind of messy, unstructured conversations that define real human interaction. It is also worth noting that Thinking Machines Lab is a relatively young company, and its long-term viability remains unproven. The AI industry is littered with promising research previews that never translated into reliable products. Still, the involvement of Murati — a well-respected figure in the AI community — lends the project credibility. Conclusion Thinking Machines Lab’s full-duplex interaction model represents a thoughtful technical departure from the status quo in AI voice interfaces. The benchmarks are compelling, and the underlying concept — making interactivity native rather than bolted on — is intellectually sound. But the real test will come when users can actually try it. Until then, the announcement is best understood as a promising research direction, not a finished product. The company’s careful rollout timeline suggests it understands that gap. FAQs Q1: What is a full-duplex AI model? A full-duplex AI model can process incoming audio and generate a spoken response simultaneously, allowing for more natural, real-time conversation. This is different from most current AI assistants, which operate in a turn-based, half-duplex manner. Q2: How fast is TML-Interaction-Small compared to other AI models? Thinking Machines claims a response latency of 0.40 seconds, which it says is significantly faster than comparable models from OpenAI and Google. This speed is close to the natural pace of human conversation. Q3: When will Thinking Machines Lab release this model to the public? The company is planning a limited research preview in the coming months, with a wider public release expected later this year. The model is currently not available for public use. This post Thinking Machines Lab unveils AI that listens while it talks, aiming for human-like conversation first appeared on BitcoinWorld .

12 May 2026, 04:53

Bitmine slows Ethereum buys, targets December to own 5% of supply

Tom Lee has also doubled down on the idea that the crypto spring has started and pointed to the Ether price rising in correlation with software stocks as further evidence.

12 May 2026, 04:40

Sportix Raises $3.2M for AI-Powered Soccer Analytics Ahead of 2026 World Cup

BitcoinWorld Sportix Raises $3.2M for AI-Powered Soccer Analytics Ahead of 2026 World Cup Sportix, a developer of artificial intelligence-driven soccer analytics software, has secured $3.2 million in a funding round backed by blockchain and venture capital firms, including Animoca Brands, Coinvester Ventures, Becker Ventures, X21 Digital, and Alpha Capital. The company intends to deploy the capital toward expanding its AI analysis engine, entering new international markets, and scaling its product suite in preparation for the 2026 FIFA World Cup. What Sportix Offers Sportix’s platform is built around two primary tools: a Match Intelligence Engine (MIE) and a Player Intelligence System (PIS). The MIE processes real-time match data, while the PIS tracks individual player performance metrics. Both systems incorporate media sentiment analysis, giving users a more holistic view of team and player dynamics beyond raw statistics. The company also provides an AI simulation engine that allows users to adjust tactical formations, player lineups, and match parameters to generate hypothetical match outcomes. This feature is designed for analysts, media outlets, and fantasy sports platforms seeking deeper strategic insights. Additionally, Sportix operates an on-chain analyst reputation system, which records and verifies analytical contributions on a blockchain ledger, alongside a B2B data API service for third-party integration. Strategic Timing and Market Context The funding arrives as the sports analytics market continues to grow rapidly, driven by increasing demand from broadcasters, betting operators, and fantasy sports providers for granular, real-time data. The 2026 FIFA World Cup, co-hosted by the United States, Canada, and Mexico, represents a major commercial opportunity for sports technology firms targeting a global audience of fans and media. Sportix plans to officially launch its services in the second quarter of 2026, positioning itself to capture interest from both casual fans and professional analysts during the tournament buildup. Investor Profile Animoca Brands, the lead investor in the round, is known for its focus on blockchain-based gaming and digital property rights. Its participation signals growing crossover between sports analytics, fan engagement platforms, and decentralized ledger technology. Other participants include Coinvester Ventures, a crypto-focused venture firm, and Becker Ventures, a private investment group with interests in sports technology. What This Means for the Sports Analytics Sector Sportix’s approach combines traditional performance analytics with blockchain-based reputation tracking, a relatively novel concept in the sports data industry. If adopted, the on-chain system could provide verifiable attribution for analysts and data contributors, potentially addressing concerns around data provenance and intellectual property in sports scouting. However, the company faces established competitors such as Stats Perform, Opta, and Second Spectrum, which already hold strong positions in professional leagues and media partnerships. Sportix’s success will depend on whether its AI simulation tools and blockchain features offer enough differentiation to attract users beyond early adopters. Conclusion The $3.2 million funding round provides Sportix with the resources to develop its technology and pursue market entry ahead of a major global sporting event. The company’s integration of AI analytics, simulation, and blockchain verification represents a distinctive — though unproven — value proposition in a competitive industry. Its official launch in mid-2026 will determine whether these tools can gain traction with fans, media, and professional analysts alike. FAQs Q1: What is Sportix’s main product? Sportix offers a Match Intelligence Engine and a Player Intelligence System that analyze real-time soccer data, media sentiment, and player performance using artificial intelligence. Q2: When will Sportix launch its services? The company plans to officially launch its platform in the second quarter of 2026, ahead of the FIFA World Cup. Q3: How does Sportix use blockchain technology? Sportix operates an on-chain analyst reputation system that records analytical contributions on a blockchain ledger, providing verifiable attribution for data and insights. This post Sportix Raises $3.2M for AI-Powered Soccer Analytics Ahead of 2026 World Cup first appeared on BitcoinWorld .

12 May 2026, 04:33

Microsoft aimed for $92B return on OpenAI investment, Nadella says

A January 2023 memo from Microsoft President Brad Smith to the company’s board projected a $92 billion return on Microsoft’s cumulative $13 billion investment in OpenAI, according to court documents disclosed Monday, May 11. The figure surfaced during testimony by Microsoft CEO Satya Nadella at the federal courthouse in Oakland, California, per Bloomberg . “It has worked out well because we took the risk,” Nadella told the jury. Microsoft’s 27% stake in OpenAI is now estimated at $135 billion. OpenAI was last valued at $852 billion following its $122 billion March funding round. Nadella saw OpenAI as a Microsoft-scale threat Under questioning from Musk’s lead trial attorney Steven Molo, Nadella confirmed he had drawn a historical parallel to Microsoft’s early PC partnership with IBM as the company prepared its $10 billion follow-on investment in OpenAI in April 2022. In an internal email presented as evidence, Nadella wrote he did not want Microsoft to become IBM while OpenAI became the next Microsoft. The email captures the strategic calculation behind Microsoft’s bet: avoid the trap of being the infrastructure partner who lets a startup capture all the upside. Microsoft’s investment timeline: $1 billion in 2019, doubled in 2021, then $10 billion in early 2023. The 2023 round is what the Brad Smith memo projected would return $92 billion. Musk argues Microsoft helped redirect OpenAI’s mission As Cryptopolitan reported , Musk’s attorneys called Nadella as their first witness Monday. The strategy is to use Microsoft’s own internal documents to show the company knowingly steered OpenAI toward profit despite its nonprofit charter. Musk seeks $79 billion to $134 billion in damages. Under cross-examination, Nadella acknowledged he was not aware of any full-time employees at the OpenAI nonprofit before March 2026, or of any grants, research, or open-sourced technology it had produced. Microsoft attorney Jay Jurata pushed back, walking Nadella through three major Microsoft-OpenAI milestones (the 2019 announcement, the 2020 GPT-3 exclusive license, the 2023 $10 billion investment) and asking each time whether Musk had objected. Nadella said no each time. He noted he and Musk have each other’s phone numbers. The verdict timeline Sam Altman is expected to testify Tuesday or Wednesday. Closing arguments follow. The advisory jury could reach a verdict the week of May 18. Judge Yvonne Gonzalez Rogers makes the final ruling after hearing the jury’s recommendation. She cut Musk’s fraud claims before trial, leaving breach of charitable trust and unjust enrichment as the remaining counts. A ruling for Musk could jeopardize OpenAI’s planned IPO. OpenAI named the lawsuit as a “risk to business” in investor disclosures earlier this year. Greg Brockman, whose stake in OpenAI is valued at $30 billion, testified last week about 2017 diary entries referencing “making money for us.” He also told the court that Musk physically threatened him in 2017 after Musk was denied majority control of OpenAI. Microsoft has denied wrongdoing. OpenAI has called Musk’s case “baseless harassment” tied to xAI, his competing AI venture. Don’t just read crypto news. Understand it. Subscribe to our newsletter. It's free .

12 May 2026, 04:00

Japan warned lagging on-chain finance threatens economic security and monetary sovereignty

BitcoinWorld Japan warned lagging on-chain finance threatens economic security and monetary sovereignty Japan’s former Minister for Digital Transformation, Takuya Hirai, has issued a stark warning that the country’s slow adoption of on-chain finance — including stablecoins, tokenized deposits, and real-world asset (RWA) tokenization — could undermine its economic security and monetary sovereignty. The statement, posted on X, follows discussions within the ruling Liberal Democratic Party’s (LDP) Digital Headquarters, which has designated finance as its 18th growth sector and is pushing for accelerated development of on-chain financial infrastructure through public-private partnerships. Hirai’s warning: a structural shift in global finance Hirai, who served as Japan’s first Minister for Digital Transformation, described a fundamental structural shift in the global economy. He argued that artificial intelligence and blockchain technology are converging to create an automated, interconnected system for the economy, finance, and payments. In this new foundation, transactions, settlements, and financing are unified, with AI agents handling real-time decision-making. “A structural shift is underway where AI and blockchain are creating an automated, interconnected system for the economy, finance, and payments,” Hirai wrote on X. He warned that as dollar-based stablecoins become more widespread, competition for leadership in financial infrastructure is intensifying. If Japan falls behind in this trend, he cautioned, it could have direct consequences for the nation’s economic security and its ability to maintain monetary sovereignty. LDP Digital Headquarters pushes on-chain finance agenda The LDP Digital Headquarters has now designated finance as its 18th growth sector, signaling a formal push to integrate blockchain-based financial instruments into Japan’s regulatory and economic framework. The proposal under discussion centers on stablecoins, tokenized deposits, and the on-chain tokenization of real-world assets (RWA). These technologies aim to bring traditional financial instruments — such as bonds, real estate, and commodities — onto blockchain networks, making them more liquid, programmable, and accessible. Japan has already taken early steps in regulating stablecoins. In June 2023, the country passed legislation recognizing stablecoins as a form of digital money, requiring issuers to be licensed and to maintain full backing in yen or other fiat currencies. However, Hirai’s comments suggest that these initial moves may not be enough to keep pace with the rapid global evolution of on-chain finance, particularly as the United States and other jurisdictions accelerate their own regulatory frameworks. Why this matters for Japan and global markets The warning from a former high-ranking official carries weight in Japan’s policy circles. Hirai was instrumental in establishing Japan’s Digital Agency in 2021 and has been a vocal advocate for digital transformation across government and industry. His focus on the link between on-chain finance and national security reflects a growing recognition among policymakers that digital financial infrastructure is not just a technological upgrade but a strategic asset. Japan’s economy, the third-largest in the world, has traditionally been cautious in adopting digital assets and blockchain technology. While the country has a robust regulatory framework for cryptocurrencies, the pace of innovation in on-chain finance has been slower compared to the United States, Singapore, and the European Union. If Japan fails to build competitive on-chain financial infrastructure, it risks losing influence over global financial standards and could see capital and talent flow to more progressive jurisdictions. The LDP’s Digital Headquarters plans to accelerate development through public-private partnerships, aiming to create a regulatory environment that encourages innovation while maintaining financial stability. The proposal includes exploring the use of stablecoins for domestic and cross-border payments, tokenizing government bonds and other public assets, and developing common standards for on-chain finance. Conclusion Japan’s on-chain finance debate is no longer a niche technology discussion — it is now a matter of national economic security. Takuya Hirai’s warning, combined with the LDP Digital Headquarters’ formal push to develop on-chain infrastructure, signals a potential shift in Japan’s approach to digital finance. The coming months will reveal whether Japan can translate its early regulatory moves into a competitive on-chain financial ecosystem or whether it will fall behind in the race for leadership in the global financial infrastructure of the future. FAQs Q1: What is on-chain finance? On-chain finance refers to financial activities — such as payments, lending, trading, and asset management — that are conducted on blockchain networks. It includes stablecoins, tokenized deposits, and the tokenization of real-world assets like bonds, real estate, and commodities. Q2: Why did Takuya Hirai warn about Japan’s lag in on-chain finance? Hirai warned that as dollar-based stablecoins become more widespread globally, competition for leadership in financial infrastructure is intensifying. He argued that if Japan falls behind, it could impact its economic security and monetary sovereignty. Q3: What is the LDP Digital Headquarters’ proposal? The proposal focuses on developing on-chain financial infrastructure through public-private partnerships, including the use of stablecoins, tokenized deposits, and real-world asset tokenization. The LDP has designated finance as its 18th growth sector to accelerate this development. This post Japan warned lagging on-chain finance threatens economic security and monetary sovereignty first appeared on BitcoinWorld .

11 May 2026, 23:30

Strategy Says Its Software Business Is Quietly Powering Its Bitcoin Machine

Strategy’s Phong Le pushed back against the idea that the company’s Bitcoin identity can be separated from its legacy software business, arguing that the two sides now reinforce each other operationally, financially, and culturally. In a post on X, Le said Strategy’s success is “rooted in more than Bitcoin on our balance sheet,” framing the company’s enterprise software unit as a key part of the infrastructure behind its Bitcoin Treasury Company model . The comments come as the firm continues to be viewed primarily through the lens of its Bitcoin holdings, even as management seeks to highlight the operating business that predates its digital asset strategy. “I’m sometimes asked why a Bitcoin Treasury Company should also operate a software business,” Le wrote. “The two create powerful and unique synergies. I plan to provide more regular updates on Strategy Software, and will start here with a foundational overview.” Why Strategy Thinks Software Gives Its Bitcoin Treasury Model An Edge Le said Q1 2026 was the software division’s strongest financial quarter in a decade. According to his post, software revenue rose 12%, led by 59% growth in cloud revenue, while controllable margin increased 27%. He said that margin expansion helped fund Strategy’s Bitcoin operating expenses, positioning the software business as more than a legacy asset sitting alongside the treasury strategy. “Over the last six years, we transformed the software business while simultaneously becoming a Bitcoin Treasury Company,” Le wrote. The scale of that business was central to his argument. Le said Strategy has 1,500 employees serving more than 3,000 customers, over 500,000 active users, and nearly half of the Fortune 500. Its customer base includes major banks, healthcare companies, retailers, and government agencies. He also pointed to the company’s operating history, noting that it has been in business since 1989, public since 1998, and active in more than 25 countries. For Le, that history matters because it gives Strategy a level of institutional infrastructure that most digital asset firms do not have. He cited the company’s NASDAQ listing, WKSI status, quarterly 10-Q and annual 10-K filings, KPMG audits, and compliance with SOC 2 Type 2, ISO 27001, FedRAMP, PCI DSS, HIPAA, DPF, and GDPR standards. “This directly benefits our Bitcoin Treasury Company,” Le said. “We have world-class software engineers, product managers, customer success teams, cloud and security experts, enterprise sales and consulting professionals, and experienced leaders in operations, finance, legal, and HR. Many employees have been with the company for more than 25 years.” Le added that “no company in the digital asset ecosystem has this depth of institutional experience,” describing Strategy’s organizational maturity as intentional and differentiated in an industry often associated with faster-moving, less established corporate structures. He also argued that the relationship works in the other direction: Bitcoin has helped accelerate the software business . Le said employees have been energized by Strategy’s mission, equity performance, and global community, while customers have moved “from skeptical to curious to supportive” and are increasingly engaged with the company’s digital asset strategy. A large part of the next phase, according to Le, is AI. He said Strategy has built an AI data foundation called “Mosaic,” which integrates LLMs, hyperscalers, and data warehouses into a “trusted, secure, open platform.” The system is designed to provide an AI-driven semantic layer for enterprise data, with AI agents as end users. Le said Strategy is also rebuilding internal systems using multiple AI models. “Over the next year, I expect we will automate many core workflows and replace much of our internal enterprise software,” he wrote. “Our systems and software will become increasingly autonomous, adaptive, self-healing, and self-improving.” At press time, MSTR traded at $187.59