Tech
StarkWare’s Million-Dollar Vision: Scaling Bitcoin with Zero-Knowledge Technology
TL;DR
- StarkWare has announced an initiative to scale Bitcoin and Ethereum using zero-knowledge (ZK) technology, backed by a $1 million research fund. The initiative aligns with Satoshi Nakamoto’s vision of enabling everyday micropayments.
- The Bitcoin community is considering a technical proposal known as OP_CAT. If approved, it could enable potential STARK scaling on the Bitcoin blockchain. StarkWare supports OP_CAT and describes it as “the safest path for Bitcoin to scale.”
- StarkWare recently introduced a new scaling framework, ZKThreads, which could prevent trapped funds and enhance the scalability of decentralized applications.
StarkWare, a leading blockchain technology company, has announced a bold initiative to bring Bitcoin to the masses. Backed by a $1 million research fund, the company aims to use zero-knowledge (ZK) technology to scale Bitcoin and Ethereum simultaneously.
The initiative is centered around Scalable Transparent Argument of Knowledge (STARK) cryptography, a form of ZK technology. StarkWare’s announcement aligns with Satoshi Nakamoto’s vision of enabling everyday micropayments and creating a scalable solution to support global Bitcoin transactions.
StarkNet, a recognized permissionless and decentralized rollup for Ethereum, will serve as the cornerstone for the scaling solution of Bitcoin and Ethereum. Rollups function by consolidating hundreds of thousands of transactions off-chain, and then validating them on-chain at a significantly reduced cost.
StarkWare CEO and co-inventor of cheat-proof ZK cryptography, Eli Ben-Sasson, stated in a press release, “Bitcoin today is mighty, but still a fraction of what it can be.”
Boasting a valuation of $8 billion from its latest funding round, StarkNet declared that it initiated trials of zero-knowledge proofs on Bitcoin back in March. This followed their pledge to release their technology under an open-source license.

The Potential of OP_CAT
The Bitcoin community is currently considering a technical proposal known as OP_CAT. If approved, it could pave the way for potential STARK scaling on the BTC blockchain. Ben-Sasson expressed StarkWare’s support for OP_CAT, describing the OP_CAT Bitcoin soft fork as “the safest path for Bitcoin to scale.”
Introducing ZKThreads
This announcement follows StarkWare’s recent introduction of a new scaling framework, ZKThreads. Louis Guthmann, head of product/market strategy at StarkWare, believes that the framework can prevent trapped funds and enhance the scalability of decentralized applications, potentially preventing a recurrence of incidents like the FTX-Alameda collapse.
StarkWare’s ambitious plans demonstrate the potential of ZK technology to unlock and benefit Bitcoin and the broader blockchain community. As the company seeks to promote research into OP_CAT, the future of Bitcoin could be on the brink of a significant transformation.
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Tech
Elon Musk’s AI projects Bitcoin at $120,000 after second Fed rate cut
Grok, Elon Musk’s artificial intelligence, projects new momentum for Bitcoin and XRP. This forecast comes after the U.S. Federal Reserve (Fed) announced its second consecutive rate cut. The decision seeks to stimulate the slowing economy, moving the federal funds range to 3.75%-4%. Grok’s prediction on Bitcoin and XRP suggests a favorable scenario.
The Federal Reserve approved the rate reduction with a 10-2 majority vote. The objective is clear: to curb the employment slowdown in the country. Historically, this type of expansionary monetary policy benefits risk assets. Immediately after the announcement, Bitcoin showed volatility. It briefly fell to $110,000 but managed a slight recovery above $110,600.
Grok’s prediction on Bitcoin and XRP is not isolated. Market analysts support this optimistic view. Improved global liquidity and rate cuts are key factors. Furthermore, institutional inflows into spot ETFs for Bitcoin continue to be robust. According to data from Farside Investors, these funds hold over $60 billion in assets. Figures like Michael Saylor project Bitcoin between $150,000 and $200,000 by 2025.
How high can BTC and XRP go according to artificial intelligence?
Grok’s analysis estimates an 8% rise for Bitcoin in the coming days. The projection for November places BTC at the $120,000 level. However, caution remains if Fed Chair Jerome Powell adopts a conservative tone. For XRP, the forecast is also positive. The AI detects that XRP is more sensitive to changes in interest rates. This is due to its use in cross-border payments. Grok projects that XRP could reach $3, a 14% rise by November.
The rate cut fosters a positive scenario for the digital economy. The AI forecasts reinforce a narrative of a moderate bull cycle. This cycle is supported by macroeconomic fundamentals and growing institutional interest. Nonetheless, AI projections face inherent limitations. Models cannot reliably anticipate unexpected regulatory events. Therefore, every strategy must be supplemented with research and responsible risk management.
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Tech
Bitcoin Miner Stocks Rebound Today Sharply Thanks to the AI Boom
Stocks linked to cryptocurrencies, led by Bitcoin mining companies, experienced a notable recovery this Monday. This bullish movement was primarily driven by renewed optimism in the artificial intelligence sector. According to analysts from the financial firm B. Riley, the market is reacting positively to news from the technology sector. The Bitcoin miner stocks rebound amid growing interest in computational infrastructure.
The main catalyst of the day was the announcement of a strategic agreement. OpenAI, the renowned artificial intelligence firm, selected Broadcom (AVGO) to develop its next custom AI chips. This news caused Broadcom’s shares to reach a new all-time high. Consequently, the enthusiasm spread to other technology assets. The rally was led by major mining companies, such as Marathon Digital (MARA), which saw its shares rise by 10%. Similarly, Riot Platforms (RIOT) and CleanSpark (CLSK) posted gains of nearly 8%.
The Domino Effect of the Boom in Artificial Intelligence
This rally in mining stocks occurred despite the relative stability of Bitcoin’s price. The main crypto asset remained trading around $66,000, showing no major fluctuations. The disconnect suggests that investors are valuing these companies for their indirect exposure to the artificial intelligence sector. Analysts note that cryptocurrency stocks are considered “high-beta” assets. Therefore, they tend to amplify the movements of major technology indices, such as the Nasdaq.
The relevance of this event lies in the growing correlation between the AI narrative and the digital asset market. The demand for energy and computational power is a key link that unites both sectors. Data centers for artificial intelligence and Bitcoin mining farms compete for similar resources. This operational parallel is capturing the attention of investors. For this reason, they are looking for growth opportunities at the intersection of these two disruptive technologies.
A New Correlation for the Crypto Market?
The impact on the market is significant, as it diversifies the factors influencing the valuation of mining companies. Previously, their performance was almost exclusively tied to the price of Bitcoin. Now, the AI boom is emerging as a new growth driver for these stocks. For investors, this represents an opportunity to gain exposure to the artificial intelligence sector through the cryptocurrency market. This could attract a new flow of capital into the ecosystem.
The day shows that the crypto market’s sensitivity to broader technological trends remains very high. The future performance of mining stocks could increasingly depend on advances in the AI field. Consequently, market observers will be watching to see if this correlation strengthens. The link between AI and digital mining could redefine investment strategies in the medium and long term within the digital asset sector.
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Tech
California Passes Historic AI Chatbot Regulation to Protect Minors
Governor Gavin Newsom has signed a pioneering bill that establishes the first AI chatbot regulation in California, focusing on platforms that simulate friendship or intimacy. The legislation, known as Senate Bill 243 and introduced by State Senator Steve Padilla, was signed into law this Monday, marking a milestone in artificial intelligence oversight and the protection of vulnerable users, especially minors.
The new regulation requires developer companies of these chatbots to implement clear safeguards. The law mandates the explicit disclosure of the chatbot’s artificial identity, ensuring users know they are interacting with software and not a person. Furthermore, it specifically prohibits chatbots from engaging in conversations about sexual or self-harm topics with minors and establishes protocols for reporting detected cases of suicidal ideation to the state’s Office of Suicide Prevention.
This legislation is relevant because it shifts the focus of AI supervision. Instead of concentrating solely on model architecture or data bias, it directly addresses the emotional interaction between humans and machines. California becomes the first state to set clear boundaries for “companion” chatbots, setting a precedent that could influence future regulations nationwide. The measure seeks to balance innovation with protection, an increasingly present debate in the tech sector.
Real Protection or a Symbolic Gesture?
Despite its passage, the bill is not without controversy. Advocacy groups like Common Sense Media withdrew their support, arguing that the final version was “watered down” after industry lobbying. They label the law as a hollow gesture rather than meaningful policy, as key provisions like external audits were removed. For developers, implementation presents challenges, such as age verification and the risk of restricting legitimate mental health conversations out of caution.
The debate over this law’s actual impact is just beginning. While Governor Newsom defends it as a necessary guardrail, the industry and advocacy groups are closely watching its implementation. The success of this regulation will shape the future of AI governance, determining whether it is possible to create a safer digital environment without stifling the potential of these emerging technologies to offer support and connection.
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