Nearly 21,000 AI agents have been launched under the new ERC-8004 standard

  vor 9 Monaten

A new wave of AI agents went live on Ethereum, BNB Chain, and Solana, using the ERC-8004 token format. The agents launched within weeks of launching the new on-chain standard. AI agents are having a revival on-chain, with a new wave of tools on Ethereum, BNB Chain, and Solana. Some of the agents also boosted the previous leader, Virtuals Protocol. Previous agentic launches relied on tokenized agents with a predetermined personality. Several agents survive from that stage, especially crypto data and news aggregators. Some assets from the first wave of AI agent coins are still active, with a total valuation of over $2.9B . What makes ERC-8004 AI agents different? The protocol proposed to create tools to discover, select, and interact with agents based on predetermined boundaries. This allows ERC-8004 agents to compete in a fully AI-driven economy. The agents can, in theory, fulfill small tasks like ordering a pizza or completing more demanding estimations. Developers can choose multiple mechanics for vetting agents, such as reputational systems with feedback, validation via staking, zero-knowledge proofs, or trusted execution environment (TEE) oracles. The standard was launched just as AI agents were tested for more independent behaviors and skills. Tools of on-chain verification can now be deployed to vet the available agents and have mechanisms to catch unwanted behaviors. Unlike the previous wave of Virtuals Protocol and other AI agents, the goal this time is to go beyond tokenized speculation and into real-world tasks. Agents have been released into copies of social media, similar to Moltbook . The agents also arrived just in time to tap the new infrastructure for interacting with humans . Nearly 21K agents launch on multiple chains Just weeks after the ERC-8004 standard was tested, the network already carried 20,928 agents. Only a handful made it to the leaderboard with higher rankings. The network drew in over 15,000 users. The revival of agent creation is yet to show the real use cases and profitability of agents. However, the inflow of new users shows there is still demand for decentralized apps, and Ethereum still gets attention as a venue for new types of transactions. Previously, Virtuals Protocol and other agentic frameworks hosted interactions between agents in closed systems. The ERC-8004 standard, along with a unique ERC-721 NFT for each agent, means the AI bots have a wider area of potential influence. In the early stages, agents are deployed to newly built frameworks like LobKill , similar to the Moltbook environment. Transactions are saved on the blockchain for a verified record of each bot. The space still has to solve the problem of spam and the dependence on established social media as a venue for the bots. There is also no clear standard on token usage, as agent infrastructure is still fragmented. Most of the activity is experimental, testing if bots can become reliable users, avoiding risks such as wallet exposure. Get seen where it counts. Advertise in Cryptopolitan Research and reach crypto’s sharpest investors and builders.

Weiterlesen

Hungary’s Inflation Victory: Central Bank Poised for Aggressive Rate Cuts in 2025 – ING Analysis

  vor 9 Monaten

BitcoinWorld Hungary’s Inflation Victory: Central Bank Poised for Aggressive Rate Cuts in 2025 – ING Analysis BUDAPEST, January 2025 – Hungary’s sustained disinflation trend has created significant room for monetary policy easing, according to fresh analysis from ING Bank. The Hungarian National Bank now faces a pivotal decision about the timing and magnitude of interest rate reductions that could stimulate economic growth while maintaining price stability. Hungary’s Inflation Trajectory and Monetary Policy Implications Recent data reveals Hungary’s inflation rate has declined substantially from its 2022 peak of 25.7% to current levels below 5%. This remarkable disinflation journey represents one of Europe’s most dramatic monetary policy successes. Consequently, the central bank’s Monetary Council now possesses substantial flexibility for adjusting its benchmark base rate, currently at 7.75%. ING economists highlight several contributing factors to Hungary’s inflation victory. First, global energy price normalization has eased imported inflation pressures significantly. Second, domestic demand moderation has reduced price pressures across consumer goods categories. Third, the Hungarian forint’s stabilization against major currencies has contained imported inflation risks effectively. Comparative Analysis of Central European Monetary Policies Hungary’s monetary policy decisions occur within a broader Central European context. Regional central banks, including Poland’s National Bank and the Czech National Bank, have similarly transitioned from tightening to easing cycles. However, Hungary’s unique economic circumstances necessitate a carefully calibrated approach. Country Current Policy Rate Inflation Rate Projected 2025 GDP Growth Hungary 7.75% 4.8% 3.2% Poland 5.75% 5.2% 3.0% Czech Republic 4.75% 4.5% 2.8% Romania 6.25% 6.1% 3.5% This comparative framework illustrates Hungary’s relatively high real interest rates, which create substantial space for monetary easing. Furthermore, Hungary’s convergence toward the European Central Bank’s inflation target proceeds more rapidly than some regional peers. Expert Insights on Hungary’s Economic Transition ING’s analysis emphasizes several critical considerations for Hungary’s monetary policy path. First, the central bank must balance growth stimulation against inflation anchor preservation. Second, external factors including European Central Bank decisions and global commodity prices will influence domestic policy options. Third, Hungary’s economic recovery momentum requires careful monitoring. The bank’s research team identifies three potential rate cut scenarios for 2025: Conservative approach: 200 basis point reduction spread evenly across quarters Moderate acceleration: 300 basis point reduction with front-loaded cuts Aggressive stimulus: 400+ basis point reduction responding to growth concerns Each scenario carries distinct implications for currency stability, credit growth, and economic expansion. Historical data from Hungary’s previous easing cycles suggests the central bank typically prefers gradual adjustments to maintain market confidence. Structural Factors Supporting Hungary’s Disinflation Beyond cyclical improvements, Hungary benefits from several structural advantages supporting sustained price stability. The country’s manufacturing sector modernization has enhanced productivity growth. Additionally, energy diversification initiatives have reduced vulnerability to price shocks. Moreover, fiscal policy discipline has complemented monetary policy effectiveness. Recent labor market developments also contribute to inflation moderation. Wage growth normalization has eased services inflation pressures significantly. Furthermore, unemployment stabilization around 4% indicates balanced labor market conditions. These factors collectively support the central bank’s inflation targeting framework credibility. Global Context and Hungary’s Monetary Policy Autonomy Hungary’s monetary policy decisions occur within complex global financial conditions. The European Central Bank’s policy trajectory influences regional currency dynamics substantially. However, Hungary maintains considerable monetary policy autonomy due to its non-eurozone status and flexible exchange rate regime. International capital flows represent another critical consideration. Foreign investor confidence in Hungary’s economic management affects financing conditions and currency stability. Recent bond auction results indicate strong international demand for Hungarian government securities, reflecting improved investor sentiment. Sectoral Impacts of Potential Rate Cuts Monetary policy easing would affect Hungary’s economic sectors differentially. The construction industry typically responds most sensitively to interest rate reductions. Similarly, consumer durable purchases often accelerate following borrowing cost declines. However, export-oriented manufacturing faces more complex dynamics involving exchange rate effects. Financial sector implications warrant particular attention. Banking profitability may face pressure from narrowing interest margins. Conversely, credit growth acceleration could offset margin compression through volume expansion. The central bank’s careful communication strategy will help manage these sectoral transitions smoothly. Conclusion Hungary’s inflation victory creates substantial monetary policy flexibility for 2025. The Hungarian National Bank now possesses room for significant interest rate reductions while maintaining price stability. ING’s analysis suggests carefully calibrated easing could support economic growth without reigniting inflation pressures. Consequently, Hungary’s monetary policy trajectory represents a critical determinant of the country’s 2025 economic performance and regional competitiveness. FAQs Q1: What is Hungary’s current inflation rate and how does it compare to targets? Hungary’s inflation rate has declined to approximately 4.8% as of early 2025, approaching the central bank’s medium-term target of 3%. This represents substantial progress from the 2022 peak above 25%. Q2: How quickly might the Hungarian National Bank reduce interest rates? Most analysts, including ING economists, project gradual reductions throughout 2025, potentially totaling 200-400 basis points depending on economic conditions and inflation developments. Q3: What factors could delay or accelerate Hungary’s rate cut cycle? Global energy price shocks, forint volatility, or unexpected inflation persistence could delay cuts. Conversely, faster-than-expected disinflation or economic weakness could accelerate the easing cycle. Q4: How do Hungary’s monetary policy prospects compare with other Central European countries? Hungary maintains higher policy rates than regional peers, creating greater space for reductions. However, all Central European central banks face similar balancing acts between supporting growth and maintaining stability. Q5: What are the main risks to Hungary’s continued disinflation trend? Primary risks include renewed global commodity price increases, excessive forint depreciation, wage-price spiral resumption, or fiscal policy loosening that undermines monetary policy effectiveness. This post Hungary’s Inflation Victory: Central Bank Poised for Aggressive Rate Cuts in 2025 – ING Analysis first appeared on BitcoinWorld .

Weiterlesen

Senate Commerce okays bill to fast-track FCC satellite approvals for rural internet

  vor 9 Monaten

A key Senate committee vote d Th ursday to approve a plan that would break through the red tape that has slowed the development of satellite-based broadband across the United States, potentially reshaping internet access for millions of Americans in rural places. The Senate Commerce Committee passed the measure following amendments pushed by Senator Maria Cantwell, the panel’s top Democrat. Her office said the changes were designed to ensure the Federal Communications Commission keeps a close eye on new satellites before they get the green light, a nod to concerns that the approval process could move too fast without proper checks. Cruz and Welch lead the push The bill was first introduced in January by Committee Chairman Ted Cruz, a Republican, and Democratic Senator Peter Welch. Their goal was to give satellite companie s cl earer rules to work with while simultaneously opening up faster internet to parts of the country that have long gone without it. Cruz has argue d th e current FCC application process is stuck in the past and not built to handle today’s pace of satellite launches. “We have more rocket launches and satellite deployments today than ever before,” he said. “However, innovative companies that seek to expand broadband access to Americans are facing a regulatory process that is outdated, leading to massive delays in the deployment of new satellite technologies.” The timing of the bill’s advancement is difficult to ignore. Just under two weeks ago, Elon Musk’s SpaceX filed a request to launch a constellation of one million satellites that would circle the Earth and use solar power to run artificial intelligence data centers in orbit. That filing, submitted on January 30, marked one of the most sweeping proposals ever put before federal regulators. The company already has roughly 9,500 satellites in service and recently won FCC approval to deploy another 7,500 second-generation Starlink satellites, pushing its total network even further. The surge in satellite applications has created a backlog at the FCC that the new legislation is directly aimed at addressing. Analysts say that by clearing the bottleneck, approval timelines could shrink from years to months, potentially speeding up deployments by 30 to 50 percent based on the size of existing backlogs. According to FCC figures, about 19 million Americans in rural areas still lack access to high-speed internet, and backers of the bill say faster satellite licensing is one of the most direct ways to address that. Concerns over interference remain Still, not everyone is comfortable with the idea of imposing a rigid clock on the approval process. Cantwell raised red flags about a system that could effectively hand out permits through government inaction. “I’m very anxious about a process, particularly with interference, that just says negligence by the FCC gets you your permits for a million satellites,” she said during committee debate. Her office added that the final version of the bill ensure s FC C experts, not a blanket timeline, decide which applications qualify for faster review. “We all want faster licensing, but we made sure the FCC’s experts set the rules for what gets fast-tracked, not a one-size-fits-all shot clock that treats a ground antenna the same as a million satellite constellations,” her office said. The bill still requires the FCC to confirm that newly approved satellites will not disrupt signals for existing users, and to determine whether untested designs warrant additional scrutiny before moving forward. The U.S. Chamber of Commerce has thrown its support behind the legislation , calling it a necessary update to keep American companies competitive. Industry forecasts put the global satellite sector on track to contribute $1 trillion to the world economy by 2040. The drive comes as China files a request with the International Telecommunication Union for more than 200,000 satellites, the largest such petition on record, adding urgency to the United States’ attempts to maintain its space leadership. If you're reading this, you’re already ahead. Stay there with our newsletter .

Weiterlesen

Is The Bitcoin Bottom In? Leading On-Chain Analyst Sees A Floor Forming

  vor 9 Monaten

Bitcoin’s violent drawdown into the low-$60,000s has traders hunting for a floor. One of the market’s best-known on-chain analysts is arguing the risk-reward has shifted meaningfully, even if the “bottom” is still a process rather than a single print. James “Checkmate” Check, a former lead Glassnode researcher and now the author of Check On Chain, told What Bitcoin Did host Danny Knowles that once Bitcoin pushed into the $60,000 zone, it entered what he described as “deep value” territory across multiple mean-reversion frameworks, at the same time capitulation-style losses spiked to levels last seen at the 2022 cycle lows. Check’s core framing is blunt: if Bitcoin is headed to zero, none of the models matter. If it’s not, then the statistical setup looks increasingly asymmetric after the selloff. “If Bitcoin is going to zero, been nice playing. It’s been fun have fun playing with your bitcoins,” Check said. “If not, then you start looking at the statistics and the odds and go, ‘Well, if Bitcoin recovers, this is kind of a nice place to be. Don’t lose attention now. This is the time to pay attention.’” Related Reading: These Three Catalysts Could Spark Bitcoin’s Next Rally, According To Wintermute Check was less interested in pinning the move on a single forced seller than in walking through the market structure that made the slide plausible. IS THE BITCOIN BOTTOM IN? | @_Checkmatey_ We discuss: – The Bitcoin Bear Market – If $60k Is The Bottom – What Caused The Crash – How To Manage The Bear Watch it here: https://t.co/j6OTvdnWFc pic.twitter.com/Z0f1VaKkFd — Danny Knowles (@_DannyKnowles) February 11, 2026 Bitcoin Bottoms Are A Process His conclusion was probabilistic, not declarative. “The odds that we’ve put a bottom in have gone up significantly,” he said, adding later that he’d put the chance the market already set a meaningful low at “more than 50/50 […] probably 60%,” while assigning just “15–20%” odds of a new all-time high in 2026 without a major macro “pivot” or “big print” event. On ETFs, Check cited roughly $7.5 billion in outflows during the drawdown, while arguing the bigger picture looked less like a structural failure and more like positioning unwinds. He said that at around $80,000, roughly 62% of cumulative inflows were underwater, but noted ETF assets under management were down only mid-single digits (he referenced about 4–6%), and suggested earlier outflows aligned with CME open interest, consistent with basis-trade window-dressing rolling off. Check pushed back hard on anchoring to the four-year halving cycle as a timing tool, calling it an “unnecessary bias.” His approach: watch investor behavior first, check the calendar second. “Show me when investors put the bottom in. Show me when investors sell the top,” he said. “I’m going to look at that instead because then I’ll check the date.” Even if the low is in, Check expects the market to revisit it. Bottoms, he argued, tend to form through multiple “capitulation wicks” and then “time pain,” where boredom and lingering fear grind down late-cycle buyers. “If you are formulating a bear case right now, you’re doing it wrong,” he said, framing the current zone as the late innings of the move rather than the start, while still allowing price could go lower. He pointed to two failed all-time-high attempts around October, topping near $126,000, followed by a “shot across the bow” crash on Oct. 10 that he said likely left “bodies out there.” From there, he described a “hodler’s wall” of invested wealth sitting above key levels, with $95,000 as what he called the “bull’s last stand” and argued that once price lost those shelves, downside odds accelerated. A key reference level for him was $80,000, tied to the True Market Mean, a long-term center-of-gravity price that also overlapped with the ETF cost basis in his telling. Once that level broke, he said, the psychological regime changed: “Losing $80,000 was the acceptance phase. Now everyone believes that it’s a bear market. And what bear markets do, they trend lower.” From there, Check argued the market was pulled toward the prior high-volume consolidation zone, roughly the mid-$50,000s to $70,000 range, where a large share of this cycle’s trading volume had previously occurred. He said the selloff itself likely involved leverage blowing up somewhere, but framed that as downstream of a broader shift: when the crowd believes it’s a downtrend, they “sell every rip.” The most concrete “bottoming” signal Check emphasized was the scale of realized losses during the flush. He said capitulation losses ran around $1.5 billion per day, a figure he compared directly to the 2022 bottom and that the sellers were concentrated among recent cohorts: “class of 2025” and “class of 2026” buyers, plus people who bought the $80,000 bear-flag region. He also flagged SOPR printing around minus one standard deviation, which he said has only appeared in two historical contexts: an early “this isn’t a dip” warning, and later near bottoming phases. Related Reading: Bitcoin Flashes Luna-Level Capitulation Signal at $67K, Not $19K His conclusion was probabilistic, not declarative. “The odds that we’ve put a bottom in have gone up significantly,” he said, adding later that he’d put the chance the market already set a meaningful low at “more than 50/50 […] probably 60%,” while assigning just “15–20%” odds of a new all-time high in 2026 without a major macro “pivot” or “big print” event. On ETFs, Check cited roughly $7.5 billion in outflows during the drawdown, while arguing the bigger picture looked less like a structural failure and more like positioning unwinds. He said that at around $80,000, roughly 62% of cumulative inflows were underwater, but noted ETF assets under management were down only mid-single digits (he referenced about 4–6%), and suggested earlier outflows aligned with CME open interest, consistent with basis-trade window-dressing rolling off. Check pushed back hard on anchoring to the four-year halving cycle as a timing tool, calling it an “unnecessary bias.” His approach: watch investor behavior first, check the calendar second. “Show me when investors put the bottom in. Show me when investors sell the top,” he said. “I’m going to look at that instead because then I’ll check the date.” Even if the low is in, Check expects the market to revisit it. Bottoms, he argued, tend to form through multiple “capitulation wicks” and then “time pain,” where boredom and lingering fear grind down late-cycle buyers. “If you are formulating a bear case right now, you’re doing it wrong,” he said, framing the current zone as the late innings of the move rather than the start, while still allowing price could go lower. At press time, BTC traded at $67,788. Featured image created with DALL.E, chart from TradingView.com

Weiterlesen

OpenAI Codex Unleashes Revolutionary Speed with Dedicated Cerebras Chip Powering New GPT-5.3-Spark Model

  vor 9 Monaten

BitcoinWorld OpenAI Codex Unleashes Revolutionary Speed with Dedicated Cerebras Chip Powering New GPT-5.3-Spark Model In a significant leap for AI-assisted development, OpenAI has launched GPT-5.3-Codex-Spark, a lightweight version of its Codex agentic coding tool, uniquely powered by the dedicated Cerebras Wafer Scale Engine 3 chip to achieve unprecedented inference speeds for real-time collaboration. Announced on Thursday, this release marks the first tangible milestone in OpenAI’s multi-billion dollar partnership with hardware specialist Cerebras, signaling a strategic shift toward custom silicon to overcome latency barriers in generative AI. The model, currently in a research preview for ChatGPT Pro users, aims to transform daily coding productivity by enabling rapid prototyping and iteration, a contrast to its heavier predecessor designed for long-running, complex tasks. OpenAI Codex Evolves with Dedicated Cerebras Hardware OpenAI’s latest model, GPT-5.3-Codex-Spark, represents a focused engineering effort. The company explicitly designed it for faster inference. Consequently, this required a new hardware approach. To power this initiative, OpenAI integrated chips from its partner Cerebras. This partnership, valued at over $10 billion, was announced just last month. Now, it yields its first product. The core of this integration is Cerebras’ third-generation Wafer Scale Engine 3 (WSE-3). This megachip boasts a staggering 4 trillion transistors. It provides the raw computational throughput necessary for low-latency AI. OpenAI states that integrating Cerebras is fundamentally about making AI respond much faster. This move highlights the growing importance of specialized hardware in the large language model (LLM) race. It’s a clear response to the industry-wide bottleneck of inference speed and cost. The Hardware Partnership: A $10 Billion Bet on Speed The collaboration between OpenAI and Cerebras is not a minor trial. It is a deep, multi-year strategic agreement. Financial terms exceed $10 billion. This investment underscores a critical trend. Leading AI software companies are now vertically integrating with hardware pioneers. Cerebras has operated for over a decade. However, the AI boom has catapulted it to prominence. Just last week, the firm raised $1 billion at a $23 billion valuation. It also has announced IPO intentions. For OpenAI, this partnership diversifies its compute infrastructure. It traditionally relies heavily on GPU clusters from partners like NVIDIA. The WSE-3 chip excels at specific workloads. These include the extremely low-latency workflows that Codex-Spark demands. Sean Lie, CTO of Cerebras, expressed excitement about discovering new interaction patterns that fast inference enables. GPT-5.3-Codex-Spark: Designed for Daily Productivity OpenAI positions Spark distinctly from the full GPT-5.3 Codex model. The company describes it as a “daily productivity driver.” Its purpose is rapid prototyping and swift, real-time collaboration. The original GPT-5.3 model handles longer, heavier tasks requiring deeper reasoning. Spark complements this by handling the initial, iterative phases of coding. This two-mode vision for Codex is a key strategic insight. Developers often need immediate assistance for boilerplate code or debugging. Later, they require sustained AI for architectural planning. Spark currently enjoys a research preview. It is available exclusively within the Codex app for ChatGPT Pro subscribers. CEO Sam Altman hinted at the launch on social media. He tweeted about a “special thing” launching for Codex Pro users that “sparks joy.” This preview phase allows OpenAI to gather crucial user feedback. It will guide the model’s refinement before a wider release. Key Capabilities of Codex-Spark: Ultra-Low Latency: Powered by WSE-3 for near-instantaneous code suggestions and completions. Rapid Iteration: Optimized for real-time collaboration and quick prototyping cycles. Focused Scope: Targets daily coding tasks rather than marathon development sessions. Pro Preview: Initially available to ChatGPT Pro users within the dedicated Codex application. The Cerebras WSE-3 Chip: Engineering for Scale The Wafer Scale Engine 3 is a feat of semiconductor engineering. Unlike traditional chips cut from a silicon wafer, Cerebras builds its processor on the entire wafer. This design minimizes the communication delays between cores. Delays are a major bottleneck in distributed computing systems. The WSE-3 contains 4 trillion transistors and powers massive AI models efficiently. Its architecture is particularly suited for the inference phase. Inference is when a trained model generates outputs. For a coding assistant, fast inference means the difference between a helpful real-time companion and a sluggish tool that disrupts flow. OpenAI’s adoption of this technology is a strong endorsement. It validates Cerebras’s wafer-scale approach for production AI workloads. The chip’s performance could set a new benchmark for responsiveness in consumer and enterprise AI applications. Industry Context: The AI Hardware Race Intensifies OpenAI’s move occurs within a fiercely competitive landscape. Tech giants are all seeking an edge in AI efficiency. Google uses its Tensor Processing Units (TPUs). Amazon Web Services deploys Trainium and Inferentia chips. Microsoft is developing its own Maia AI accelerators with OpenAI. This trend toward custom silicon aims to reduce costs and improve performance. It also decreases reliance on general-purpose GPU suppliers. For developers, the hardware race translates to better tools. Faster, cheaper inference makes advanced AI coding assistants more accessible and practical for everyday use. It could democratize high-level programming assistance. The OpenAI-Cerebras deal is one of the largest and most focused partnerships in this space. It will pressure other AI software providers to explore similar deep hardware integrations. Implications for Developers and the AI Ecosystem The release of Codex-Spark signals a maturation of AI-powered development tools. The focus shifts from raw capability to usability and speed. A model that responds in milliseconds can integrate seamlessly into a developer’s thought process. This could significantly lower the learning curve for new languages or frameworks. Furthermore, it promises to automate more routine aspects of coding. This allows human engineers to focus on complex problem-solving and architecture. The “two complementary modes” vision outlined by OpenAI suggests a future where AI assistants contextually switch between Spark-like speed and deeper, slower analysis. This adaptive approach could become the standard for professional developer tools. The success of this model will also be closely watched by investors and competitors. It serves as a test case for the value of dedicated inference hardware at scale. Comparison: GPT-5.3 Codex vs. GPT-5.3-Codex-Spark Feature GPT-5.3 Codex (Original) GPT-5.3-Codex-Spark Primary Design Goal Deep reasoning, long-running complex tasks Rapid iteration, real-time collaboration Key Hardware General-purpose AI compute (e.g., GPU clusters) Dedicated Cerebras WSE-3 chip Optimization Focus Accuracy, depth of analysis Ultra-low latency, inference speed Ideal Use Case System design, architectural planning, debugging complex issues Boilerplate code, quick prototypes, syntax assistance, daily edits Availability Broader access Research preview for ChatGPT Pro users Conclusion OpenAI’s launch of GPT-5.3-Codex-Spark, powered by the specialized Cerebras WSE-3 chip, is a pivotal development in the practical application of AI for software engineering. It moves beyond mere model capability to prioritize the user experience through blistering inference speed. This partnership highlights the increasing symbiosis between AI software and custom hardware, a trend destined to define the next phase of the industry. For developers, the promise is a more fluid and intuitive AI collaborator that keeps pace with their creative flow. As this research preview unfolds, it will offer vital insights into how low-latency AI can reshape coding practices, potentially setting a new standard for what developers expect from their intelligent assistants. The success of OpenAI Codex in this new, faster form could well determine the trajectory of AI-augmented development for years to come. FAQs Q1: What is GPT-5.3-Codex-Spark? A1: GPT-5.3-Codex-Spark is a lightweight, high-speed version of OpenAI’s Codex AI coding assistant. It is specifically optimized for ultra-low latency inference to enable real-time collaboration and rapid prototyping, powered by a dedicated Cerebras WSE-3 chip. Q2: How is Spark different from the original GPT-5.3 Codex? A2: The original model is designed for longer, more complex coding tasks requiring deep reasoning. Spark is designed for speed, handling quick, iterative daily coding tasks. They are intended to work as complementary modes within the Codex ecosystem. Q3: What is the Cerebras WSE-3 chip? A3: The Wafer Scale Engine 3 is Cerebras’ third-generation megachip, built on an entire silicon wafer. It contains 4 trillion transistors and is architecturally designed to perform AI inference computations with extreme efficiency and minimal latency, making it ideal for real-time applications. Q4: Who can access Codex-Spark right now? A4: Currently, access is limited to a research preview for users subscribed to the ChatGPT Pro plan within the dedicated Codex application. This allows OpenAI to gather feedback before a potential wider release. Q5: Why is the partnership between OpenAI and Cerebras significant? A5: The multi-year, multi-billion dollar partnership represents a major strategic move by a leading AI software company to deeply integrate with specialized hardware. It aims to solve the critical challenge of inference speed and cost, which is essential for making powerful AI tools practical for everyday use. Q6: What does this release mean for the future of AI development tools? A6: It signals a shift from prioritizing pure model size and capability to optimizing for user-centric metrics like response time and seamless integration into workflows. It also underscores the growing importance of custom hardware-software co-design in delivering competitive AI products. This post OpenAI Codex Unleashes Revolutionary Speed with Dedicated Cerebras Chip Powering New GPT-5.3-Spark Model first appeared on BitcoinWorld .

Weiterlesen

DeFi Crypto at $0.04 Named a Better Investment Than Ethereum (ETH) for New Investors in 2026

  vor 9 Monaten

While Ethereum (ETH) continues to consolidate, new investors looking to get into the crypto market are searching for alternative buys. One new crypto, Mutuum Finance (MUTM) , has gained strong momentum as investors jump in to secure discounted prices. This has resulted in over $20 million raised in the token’s presale, where more than 19,000 investors have participated. Ethereum Faces Short-Term Pressure Below Key Support Recently, Ethereum (ETH) broke below the long-term support trendline. This move has seen Ethereum gain bearish momentum as the price continues to trade below the descending resistance trendline. As Ethereum continues to trade below $2,000, it is expected to reach the $1,800 region as sellers continue to gain control in the market. This makes Ethereum an unattractive buy for new investors seeking strong upside in 2026. P2C and P2P Lending Mutuum Finance offers users the opportunity to enjoy the efficiency of Peer-to-Contract (P2C) as well as Peer-to-Peer (P2P) lending. In the P2C model, users can deposit popular cryptocurrencies like USDC or ETH into a pool to earn interest on their investment. For instance, if a user decides to deposit $20,000 into a P2C pool earning 10% APY, the user can earn $2,000 as interest on their investment. This way, the user can have $22,000 in a year without doing anything. Borrowers can borrow from the pool by depositing as collateral 150% or more of the borrowed amount. On the other hand, the P2P model is geared towards more speculative or niche assets that may not be appropriate for lending pools. For instance, a user may need $15,000 in cash but is holding a volatile cryptocurrency like PEPE. They can connect with a P2P lender who is willing to lend $7,500 in USDC, collateralized by the PEPE. If the borrower and the lender can come to an agreement, the borrower gets the liquidity they need while still benefiting from the potential upside of the PEPE cryptocurrency. Meanwhile, the P2P lender earns $487.50 in interest after the loan is repaid. Mutuum Finance has come up with several strategies geared towards engaging early investors and the community at large. For instance, the daily leaderboard recognizes the top buyer of the day and rewards them with a $500 MUTM bonus. Additionally, a $100,000 giveaway will see the distribution of $10,000 in MUTM tokens among ten randomly selected winners. A Promising Early-Stage DeFi Opportunity For those looking to invest in DeFi projects with high growth potential but want to get in early, Mutuum Finance presents an attractive investment opportunity. The protocol enables users to lend, generate yields via mtTokens, and manage risks. With 19,000 token holders and over $20.48 million raised to date, Mutuum Finance has shown impressive traction. Since its presale launch at $0.01 during Phase 1, the token has risen 4x to its current price of $0.04 during Phase 7. With subsequent presale phases set to raise its price even higher until an exchange listing price of $0.06, those investing during this phase stand to reap gains long before open market adoption. Take the example of an investor who puts $2,000 into the presale today. Their position will grow by $1,000 to $3,000 by the time of the exchange debut. This means the earliest investors stand to see the biggest gains. While Ethereum is facing short-term challenges, a new crypto sensation has taken over as a new DeFi crypto to invest in during 2026. With its presale currently priced at just $0.04, Mutuum Finance (MUTM) presents a strong investment opportunity for new crypto investors looking to get involved. With 300% gains already available to those who have backed its presale to date, Mutuum Finance is fast becoming known as the next crypto to explode. For more information about Mutuum Finance (MUTM) visit the links below: Website: https://mutuum.com/ Linktree: https://linktr.ee/mutuumfinance

Weiterlesen

Political Deadlock Stalls US Cryptocurrency Bill as Key Obstacles Remain

  vor 9 Monaten

US crypto regulation efforts remain stalled by deep partisan disagreements over key industry issues. Bipartisan consensus looks unlikely, casting major doubt on passage of a new crypto bill in 2026. Continue Reading: Political Deadlock Stalls US Cryptocurrency Bill as Key Obstacles Remain The post Political Deadlock Stalls US Cryptocurrency Bill as Key Obstacles Remain appeared first on COINTURK NEWS .

Weiterlesen

Gold Crashes Below $5,000 as $1.3 Trillion Wiped Out in 2 Hours

  vor 9 Monaten

Gold trades at $4,978.06 as of writing , down 2.11% in the last 24 hours after plunging below the $5,000 per ounce mark for the second time this month. Within minutes, the precious metals market erased roughly $1.4 trillion in value, with spot gold sliding toward $4,900 and silver dropping to $76. The sharp move unfolded in less than 30 minutes, triggering a massive liquidation candle on intraday charts. Market cap losses exceeded $1.2 trillion during the initial wave of selling. Traders described the move as unusually aggressive, raising early speculation of a potential “fat finger” event, where large orders trigger outsized volatility without clear news catalysts. However, fresh geopolitical headlines soon added context. Geopolitical Shift Eases Risk Premium Reports emerged that Israeli Prime Minister Benjamin Netanyahu confirmed that U.S. President Donald Trump prefers pursuing a deal with Iran. The statement appeared to reduce elevated geopolitical risk premiums embedded in commodities markets. As tensions eased, traders unwound defensive positions in gold and silver. Precious metals often attract demand during periods of geopolitical uncertainty. When perceived risks decline, safe-haven flows can reverse quickly. The timing of the diplomatic remarks coincided with the steep drop, intensifying the selloff. Dollar Strength Pressures Gold At the same time, macroeconomic data reinforced pressure on bullion. January’s Nonfarm Payrolls report showed the U.S. economy added 130,000 jobs, surpassing expectations of 70,000. The unemployment rate declined to 4.3%, beating forecasts of 4.4%. Jobless claims data released today showed 227,000 claims, slightly above the 222,000 forecast but still consistent with labor market resilience. Stronger labor conditions reduce the likelihood of near-term Federal Reserve rate cuts. As markets scaled back easing expectations, the U.S. dollar rebounded from oversold levels. A firmer dollar typically weighs on gold by making the metal more expensive for holders of other currencies. Source: Forex Factory Markets now await U.S. Consumer Price Index data scheduled for Friday. Economists expect headline and core CPI to rise 2.5% year-over-year, with a 0.3% monthly increase. Inflation data could provide the next directional cue. A softer print might weaken the dollar and stabilize gold. A hotter reading could extend pressure. China Holiday Adds Liquidity Factor Seasonal factors also play a role. China, a key driver of spot gold demand, will close markets from February 13 through February 24 for the Lunar New Year holiday. Reduced participation from one of the world’s largest gold consumers may thin liquidity and amplify price swings. Source: X Gold has now declined roughly 3% on the session, touching near $4,930 at intraday lows. Silver has fallen even harder, down 10% during the same period. The broader decline reflects coordinated liquidation across the precious metals complex. Dip Buyers Attempt Rebound Despite the aggressive drop, buyers have attempted to push gold back above the $5,000 level. Price action shows intraday rebounds as traders test support zones. Whether this level holds remains uncertain. The rapid unwind highlights how quickly sentiment can shift when macro data, geopolitical developments, and positioning converge. With CPI data looming and liquidity conditions tightening due to the holiday pause, volatility in gold may persist. For now, the $5,000 threshold stands as both a psychological and technical key resistance. Will buyers regain control, or does the market prepare for another sweep lower? The next catalyst may arrive sooner than expected.

Weiterlesen

Copyright © 2026 Aktuelle Krypto Kurse. - Impressum