Utexo announced RGB support for Tether WDK; integrating off-chain protocols in the Bitcoin ecosystem. The market is active with Binance SAFU and Jin's large BTC purchases. Price 70.900$, RSI 34,21 ...
OpenAI is racing to secure up to $100 billion in fresh capital as the artificial intelligence company grapples with mounting expenses and growing threats from rivals. People close to the matter say the money could push the firm’s worth to roughly $830 billion, more than what Argentina produces in a year. Those involved expect talks to gain traction over the next two weeks. The size of the round signals more than ambition. Leaked internal papers obtained by The Information show OpenAI facing a $14 billion shortfall in 2026, with total red ink climbing to $115 billion by 2029. The company does not expect to turn a profit until sometime in the 2030s. Massive computing project backs funding push The fundraising plan calls for investments in two separate phases. Microsoft and Nvidia are set to put in money first, with Amazon discussing a commitment that could go as high as $50 billion. The timing lines up with OpenAI’s Stargate venture, a $500 billion computing project built with SoftBank and Oracle. That effort aims to harness 10 gigawatts of electricity and deploy millions of processors to power what the company hopes will become artificial general intelligence. User numbers climb despite pressure Chief executive Sam Altman has worked to keep employees and investors confident even as financial strain builds. He wrote to staff on Friday that ChatGPT is “back to exceeding 10% monthly growth,” according to an internal Slack message that CNBC reviewed. Around 800 million people now tap into the service each week. But rivals are gaining ground. Google Gemini and Anthropic’s Claude have both pulled in users, with Gemini seeing a bump in web visits after Apple added it to its Intelligence features. OpenAI rolled out GPT-5.3-Codex last week in an attempt to stay ahead. The company bills it as its first “agentic” coding tool, meaning it goes beyond simple suggestions. The software can tackle complex jobs on its own, fixing bugs across entire code libraries and handling software launches without human help. Engineers at OpenAI used early builds of GPT-5.3-Codex to develop the final version, relying on it to troubleshoot training sessions and review test outcomes. The model also became the first to earn a “High capability” label under the firm’s Preparedness Framework for cybersecurity. That classification forced the company to add extra protections against automated hacking attempts. Super Bowl sparks public feud Tensions between OpenAI and Anthropic spilled into public view during Super Bowl LX. OpenAI ran a one-minute commercial aimed at developers, while Anthropic took shots at its competitor’s plan to show ads. One Anthropic spot depicted a “short king” asking for workout tips, only to get hit with promotions for shoe lifts. The ad closed with a pointed message: “Ads are coming to AI. But not to Claude.” Altman fired back on X , labeling the ads “deceptive” and “dishonest.” Still, OpenAI moved forward with ad testing inside ChatGPT on Monday. The company tried to soften potential blowback by publishing its “Ads Principles.” Only users on the Free and “Go” tiers, the latter costing $8 each month, will see sponsored content. Those paying for Plus, Pro, Team, or Enterprise subscriptions will not encounter any ads. The company also promised to keep ads away from conversations involving health, mental health, or politics. Sponsored messages will show up in a marked box at the bottom of the screen and are meant to stay separate from the chatbot’s actual responses. As fundraising discussions pick up speed, OpenAI faces pressure to show it can make money from its massive user base through these new ad options and business tools. At the same time, it needs to justify the enormous spending required to compete in the race toward artificial general intelligence. Claim your free seat in an exclusive crypto trading community - limited to 1,000 members.
Federal Reserve Governor Christopher Waller said initial optimism that lifted crypto markets after President Donald Trump was elected may now be fading amid a selloff that has rattled the asset class.
LINK testing critical support at $8.94; it has recovery potential with RSI oversold signal but BTC downtrend creates risk. Support $8.60, resistance $9.40 should be monitored – trading outlook caut...
BitMine increased its ETH holdings by 40.613 ETH to 4.326 million (8.8B$). Despite a 7.7B$ paper loss, it is staking 2.87M ETH. BMNR stock fell 60%. ETH RSI 33 oversold, S1 1.906$ strong support. W...
Solana's SOL dropped 38% in 30 days, hitting a two-year low of $67. Technical patterns suggest further declines, with potential dips to $30 forecasted. Continue Reading: Solana’s Plummet Signals Further Decline Despite Glimmers of Hope The post Solana’s Plummet Signals Further Decline Despite Glimmers of Hope appeared first on COINTURK NEWS .
As big businesses scramble to provide updated products before the approaching Christmas season, ByteDance’s weekend debut of its newest artificial intelligence tool for creating videos sparked new excitement in China’s technology markets. The business made Seedance 2.0 available on its Jimeng AI platform to a select few users. Testers of the beta version said that, in comparison to previous iterations, the software creates amazingly realistic video material with fluid camera work and improved visual coherence. Audio advances drive market gains One standout improvement involves how the system handles audio. Previous models required users to add sound separately after creating videos. The updated version simultaneously creates background noise and conversation to go with the images. Testers emphasized “physics-based realism,” citing precise depictions of motions such as objects falling and character mouth movements that are synced across eight languages. Market reaction came swiftly on Monday. Huace Media shares climbed roughly 7 percent, while Perfect World gained about 10 percent. COL Group’s stock jumped to its maximum allowed daily increase of 20 percent as investors bet on artificial intelligence boosting traditional media production. The release comes during what industry watchers describe as a critical period for China’s artificial intelligence industry. Many companies are preparing to launch flagship products. Source: @alex_prompter The push to announce new tools before the Lunar New Year reflects fierce worldwide rivalry among leading technology firms competing for user attention during 2026’s opening months, especially after prominent American companies Anthropic and OpenAI made their own major announcements. Alibaba prepares flagship model release On Sunday, someone from Alibaba Cloud’s development team submitted pull requests on Hugging Face and GitHub for an upcoming collection of models. Alibaba Cloud handles artificial intelligence and cloud operations for Alibaba Group Holding, which owns the South China Morning Post. These platforms let programmer s sh are and work together on software code that anyone can access and modify. The centerpiece is Qwen-3.5, arriving nearly a year after Qwen-3’s debut. The earlier version became the world’s most widely used open-model family throughout 2025 thanks to its solid performance, flexible licensing, and broad applications. Information shared through the pull requests indicate s Qw en-3.5 will feature two versions, one with 9 billion parameters and another with 35 billion parameters, both offering multimodal capabilities for the first time. Parameters represent the variables that determine a model’s capabilities and get fine-tuned during development. Higher numbers typically mean stronger performance. Multimodal means the system can work with various data types, such as text, pictures, and sound. Both versions will incorporate the company’s updated architecture, which first appeared in September through an experimental model named Qwen3-Next. Competition has grown more complex with the rise of “agentic” features. Moonshot AI, based in Beijing, recently introduced its Kimi K2.5 model. This version includes an “agent swarm” function that lets users activate as many as 100 sub-agents for handling multiple tasks simultaneously. The approach follows moves by other startups, including Zhipu AI, which launched GLM-Image, a model allegedly developed using only Chinese-manufactured chips to work around international export limitations. This year’s “Lunar New Year wave” represents a turning point from the testing phase of artificial intelligence toward widespread integration. Chinese companies are using the holiday season’s heavy internet traffic to draw users into AI-centered platforms. The aggressive timing demonstrates a developing market where multimodal functionality and open-source availability have become China’s main strategies against American proprietary systems. The emphasis has shifted away from simply building larger models toward specialized agentic abilities and operational efficiency. China’s AI industry is quickly moving away from experimental models (LLMs) and toward “agentic” ecosystems, which value multi-tasking, real-world processes over raw parameter quantity. In order to circumvent international export restrictions, this generation of flagship releases demonstrates a purposeful emphasis on localized hardware self-sufficiency and open-source dominance. If you're reading this, you’re already ahead. Stay there with our newsletter .
Dan Romero and Varun Srinivasan have both exited crypto social media to focus on global payments via stablecoins.
On the afternoon of Feb. 9, bitcoin rebounded to near $71,000 after dipping to $68,285. The recovery followed an announcement by Strategy that it had purchased 1,142 bitcoins for $90 million, while Binance added 4,225 bitcoins to its secure asset fund for users (SAFU). Strategy and Binance Bolster Reserves Bitcoin ( BTC) rebounded from an
GOOG stock is rallying right alongside the VIX. That doesn’t usually happen. The VIX tracks fear in markets, so when it’s going up, stocks are usually falling down, especially the big boys. GOOG is up by 2% today, and the VIX is up 1.2%, per data from Google Finance. So why the green candles for Google, you wonder? Well, it is all about a historic debt sale. Alphabet is raising cash in a way we haven’t seen from a tech company in decades. Alphabet is about to sell a 100-year bond, priced in British pounds. It’s selling five different bond chunks in sterling. One of them will not mature until the year 2126. And listen, this is the first time any tech company has tried something like this since Motorola did it in 1997. Usually, it’s governments or colleges that issue these century bonds. Companies don’t touch them, because a hundred years is too long to plan for when you’re in tech. Big Short’s Mike Burry already made this comparison in a post on X, making it clear that he is bearish on GOOG, though keep in mind that this is the guy who has called 20 of the past 2 market crashes. Alphabet is preparing for record debt sale, sending shares up The 100-year bond is just one piece. Alphabet is also selling $20 billion worth of US dollar bonds, way more than the $15 billion people expected. Demand for this deal went crazy. Orders crossed $100 billion at the peak. This is now one of the biggest corporate bond offerings ever. And it’s all because of the AI race. The bond that matures in 2066 is being sold at a tighter premium. Earlier, it was 1.2 percentage points above Treasuries. Now it’s just 0.95 percentage points. That means buyers are accepting less payout. They’re chasing anything tied to AI, and Alphabet is right in the middle of it. Last week, Alphabet said it’s planning to spend up to $185 billion on capital projects this year. That’s more than what it spent in the last three years put together. Most of this money is going into building data centers and buying AI chips. Morgan Stanley’s Brian Nowak said on CNBC that Alphabet might even spend $250 billion by 2027. Several banks are helping run the bond sale. JPMorgan, Goldman Sachs, and Bank of America are handling the US side. Deutsche Bank, Royal Bank of Canada, and Wells Fargo are involved too. All of them kept their mouths shut when asked about the deal. Tech companies are cutting cash flow to keep up with AI growth Last year, the four biggest US internet companies pulled in $200 billion in free cash flow, which is actually down from $237 billion in 2024. All this AI investment is eating into profits. But they’re still loaded with cash. By the end of the last quarter, these four companies had over $420 billion combined, just sitting in cash or equivalents. That’s a huge edge over AI startups like OpenAI and Anthropic, which are fast and flashy, but they don’t have Alphabet’s wallet. Deutsche Bank analysts said last week that Alphabet’s spending is building what they called a “meaningful moat.” That’s a nerdy way of saying they’re trying to block out competitors. Big companies continue testing AI tools that build apps just by typing a few words, which, of course, takes serious computing power. Cloud providers like Alphabet are seeing massive demand for that power, as it’s pushing them to invest even more. Still, not everything is smooth. Some folks are worried. If OpenAI stumbles, it could hit the entire market hard. That company has over $1.4 trillion in AI deals lined up. If things go wrong there, the mess could spread. If you're reading this, you’re already ahead. Stay there with our newsletter .