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We've built a NEAR-native NFT Marketplace! 🚀 A platform designed to bring NFT discovery, creation, and trading together through the NEAR ecosystem. Built for the #NEARHackathon#. Explore: GitHub: @NEARProtocol #NEARHackathon#

Having multiple research tools is useful, but the experience becomes much better when users can access them without constantly switching between different platforms. Consider how a Solana trader researches a new token. They might start by checking its market activity, investigate the wallets involved, examine token distribution and look for possible risks before making a decision. Each step provides a different piece of information, but they all contribute to the same research process. This is where @StonkwatcherSF’s planned website restructure becomes interesting. The team is working on improving the website’s navigation and making its features easier to discover. The new landing page is also expected to showcase the broader Stonk Watcher ecosystem, including its products and mobile application. I think this is a meaningful direction because Stonk Watcher is aiming to bring different parts of crypto research closer together. Token discovery helps users find opportunities. Wallet tracing provides more context about the people and addresses behind transactions. Market analysis and risk indicators help users examine what is happening before deciding where to focus their attention. These tools become more useful when they fit into one connected workflow. The mobile app adds another layer by making research and safety features more accessible beyond the desktop experience. Of course, a redesigned website alone doesn’t guarantee a better product. Navigation needs to be intuitive, information needs to be reliable and the different features need to work smoothly together. That’s what will determine whether this restructure makes a real difference. I believe good product development is not just about adding more features. It’s also about making existing tools easier to find, understand and use. The goal should be simple: less friction, better access to information and a smoother research experience. That’s the progress I’ll be watching from @StonkwatcherSF. @StonkwatcherSF $STWC

🚨 THIS IS WHY BITCOIN KEEPS CRASHING BELOW $67,000 If you still think Bitcoin trades like an asset whose price is determined purely by spot supply and demand, you need to read this carefully. Because that market no longer exists. What you’re watching right now is NOT normal price action. This isn’t just an AI stock sell-off. This isn’t just hotter inflation. And this definitely isn’t retail suddenly deciding to dump Bitcoin at the exact same time. Most people have no idea what is actually happening. And by the time it becomes obvious, the damage is usually already done. This didn’t start today. It has been building underneath Bitcoin for YEARS. And now it’s accelerating. Here’s the truth: Bitcoin still has a hard cap of 21 MILLION coins. But Wall Street can create almost unlimited financial EXPOSURE around those coins. That distinction changes everything. Because once derivatives dominate short-term price discovery... Bitcoin stops trading purely on who wants to own the actual coins. It starts trading on: 1) LEVERAGE. 2) HEDGING. 3) MARGIN. 4) LIQUIDATIONS. 5) FORCED SELLING. And that is exactly what is happening right now. It’s the same mechanism that repeatedly drives violent moves in: → Gold → Silver → Oil → Stocks Once derivatives become large enough, spot buyers are no longer the only force setting the price. And this is the part almost nobody understands: Bitcoin’s scarcity didn’t disappear. But scarcity alone no longer controls the SCREEN PRICE. Wall Street built an entire financial layer on top of Bitcoin: → Cash-settled futures → Perpetual contracts → Options → ETFs → Broker lending → Swaps → Wrapped BTC The 21 million cap controls the COINS. It does NOT cap the amount of leveraged exposure that can be created around them. And once that leverage starts unwinding... The market doesn’t care what the long-term thesis is. It SELLS. Look at what just happened: Over $1.9 BILLION in leveraged crypto positions wiped out in 24 hours. More than $1.1 BILLION liquidated in Bitcoin alone. Spot Bitcoin ETFs have already seen roughly $1.9 BILLION in outflows this month. Once leveraged selling overwhelms real buyers, price stops responding only to long-term demand. It starts responding to positions. Hedging. Margin calls. And cascading liquidations. Wall Street does not need to own millions of physical Bitcoin to push the market around. It only needs enough derivatives exposure and enough leverage sitting in the wrong place. The playbook is brutally simple: 1st: Build enormous leveraged exposur 2nd: Push price through obvious liquidity 3rd: Trigger stops and liquidations 4th: Forced selling pushes price even lower 5th: Buy back into the panic 6th: Repeat THIS is why Bitcoin can lose thousands of dollars while the number of coins on-chain barely changes. The coins didn’t suddenly disappear. The PRICE DISCOVERY mechanism changed. That’s what people are missing. Bitcoin is still scarce. But the financial claims built around Bitcoin are NOT. And when leverage controls the marginal trade... 21 million coins can behave like a market with FAR more supply than 21 million coins. That’s not the Bitcoin market retail thinks it is trading. That’s a WALL STREET PRICING SYSTEM built on top of Bitcoin. You can choose to ignore it. But don’t pretend nobody warned you. Bitcoin is now trading around $66,600, its lowest level since August and roughly 48% below the $126,200 high. If $65k breaks, the next level I’m watching is $62k. Reminder: I called the Bitcoin top at $126,000 and told you to start buying again around $60,000. The next call will matter even more. When I EXIT the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

GCSA Insight: Critical Security Vulnerability Discovered in a Leading Robotics Manufacturer’s Product, with System-Level Privilege Compromise Verified on Physical Hardware As artificial intelligence and embodied AI technologies continue to advance, robots are evolving from conventional automated machines into intelligent systems capable of perception, decision-making, and autonomous operation. At the same time, cybersecurity risks are extending beyond software and data into the physical world. The security of robotic systems is no longer solely a matter of protecting data and devices; it can also directly affect operational safety, physical environments, and user safety. Recently, the security research team of the Global Cybersecurity Alliance (GCSA) discovered and verified a critical security vulnerability in a product developed by a leading robotics manufacturer. Through in-depth analysis and multiple rounds of testing on physical hardware, the team successfully breached the device’s system security boundaries and obtained the highest level of operating system privileges in a real-world device environment, demonstrating the vulnerability’s actual impact under specific testing conditions. This research encompassed the entire process, from identifying the security flaw and assessing its risks to validating its impact on physical hardware. The findings also highlight significant challenges facing the underlying security mechanisms of embodied AI systems. The research findings and supporting evidence have been formally submitted to the manufacturer. On November 13, 2026, the manufacturer responded by email, preliminarily confirming the existence of the vulnerability and stating that it had initiated internal remediation efforts and an assessment of the scope of affected products. It is important to emphasize that confirmation of a vulnerability does not mean the associated security risks have been eliminated. GCSA will continue to monitor the manufacturer’s assessment of the affected scope, remediation plans, and subsequent security validation, and will update its research findings as new information becomes available. For intelligent systems capable of physical interaction and movement, timely, effective, and verifiable security remediation is particularly important. In accordance with responsible vulnerability disclosure principles, GCSA is currently withholding sensitive information, including the manufacturer’s identity, specific product details, the vulnerability’s underlying mechanisms, and exploitation methods. GCSA is currently seeking guidance from relevant authorities and regulatory bodies regarding the associated security risks. Taking into account the manufacturer’s remediation progress and a comprehensive assessment of potential security implications, GCSA will carefully determine the appropriate arrangements for further disclosure. Subject to appropriate conditions and upon obtaining the consent of the relevant authorities and regulatory bodies, GCSA will publicly release a detailed security insight report, providing the industry with ongoing updates on the research findings and associated risk assessments. The findings of this research are based on specific testing environments and the evidence obtained to date. They do not imply that other product models or similar robotic systems are affected by the same security issue. This security research and validation on physical hardware represent one of GCSA’s initiatives in the field of embodied AI security. GCSA will continue to advance security research, coordinated vulnerability disclosure, and industry collaboration to promote stronger security response mechanisms across the artificial intelligence sector, enhance product security, and strengthen industry trust. 🔗 Read the full report: · Stay Connected with GCSA Follow GCSA's official social media channels for the latest news, product launches, research developments, and ecosystem updates. GCSA Official Telegram Channel: GCSA Official WeChat Account: #GCSAInsight# #GCSACybersecurity# #GCSASecVibe#

🚨 HERE’S WHY BITCOIN IS NONSTOP DUMPING RIGHT NOW It's NOT because of the stock market AI bubble. It's NOT because of the rising inflation. It's NOT because of retail panic selling. Bitcoin no longer trades like a supply-and-demand asset. The crypto market has changed FOREVER. And what we're seeing right now is not ordinary price action. It’s not weak hands, changing sentiment, or retail panic. Something much bigger is happening behind the scenes, and most people haven't even realized it yet. By the time the crowd catches on, it'll already be too late. This didn't happen overnight. The structural shift has been developing for YEARS, and now we're seeing its consequences. Here's what nobody wants to acknowledge: The moment synthetic supply enters the equation, genuine scarcity loses its meaning. And once scarcity stops determining price, the market no longer discovers value through actual ownership. Price discovery moves into derivatives. That's precisely what has happened to Bitcoin. We've already witnessed this exact transformation in: → Gold → Silver → Oil → Equities Once derivatives became dominant, the underlying market structure changed permanently. Bitcoin is now facing the same reality. The entire original investment thesis was based on 2 fundamental principles: 1. A fixed maximum supply of 21 million BTC. 2. No rehypothecation. Both principles lost their effectiveness once Wall Street built an entire financial system around Bitcoin: → Cash-settled futures → Perpetual swaps → Options markets → ETFs → Prime broker lending → Wrapped BTC → Total return swaps And from that moment onward, synthetic Bitcoin exposure became effectively UNLIMITED. Not in actual blockchain supply. But in the financial markets that determine the price. Synthetic Float Ratio (SFR). This is the missing metric most people aren't aware of. When synthetic exposure exceeds the available real supply, price stops following demand. It becomes driven by positioning, hedging, and liquidation cascades. Wall Street now has the ability to manufacture Bitcoin exposure and trade against the underlying asset. Their playbook is really simple: 1. Manufacture unlimited paper BTC 2. Short aggressively into rallies 3. Trigger cascading liquidations 4. Cover positions at lower prices 5. Take profit and repeat This isn't simple speculation. It's financial inventory manufacturing. A single real BTC can simultaneously support: → An ETF share → A futures position → A perpetual swap → An options delta → A broker loan → A structured note ALL AT THE SAME TIME. 6 separate financial claims backed by one actual on-chain Bitcoin. That's NOT the decentralized free market people believe they're participating in. That's a new financial system operating under the Bitcoin name. You can ignore this reality, but you cannot escape its consequences. Quick reminder I’ve successfully called every major Bitcoin top and bottom for the past 10+ years. I publicly called the $17K BTC bottom in 2022 and the $126K top in 2025. Then, I called the $57K local bottom in 2026. Missed those calls? Don't worry, you'll get another chance soon. If you haven’t followed yet, now is the best time.

I have a major result to share. I’ve found conclusive forensic evidence that the top 4 Chinese AI labs—DeepSeek, Moonshot, MiniMax and Ant Group—have built their newest models on NVIDIA’s most advanced Blackwell chips, which are barred from export to China. This sounds insane, but I discovered that almost every AI model carries a hidden signature of the GPU that trained it. When a model is first set up, the starting values of its weights are laid out in a pattern that depends on the exact GPU. Each combination of GPU and seed number produces a unique pattern—a sort of fingerprint of the hardware used to create the model. Traces of that pattern survive training into the published model. Again, this evidence isn’t based on any insider information or leaking. It’s based on a forensic analysis of the model weights released by the companies themselves. I searched more than six trillion combinations of chip layout and seed number and matched them to open-weights models. In doing so, I found conclusive evidence that six Chinese AI models—including DeepSeek-V4-Pro, Kimi K3, and MiniMax-M3—were initialized on NVIDIA Blackwell systems. Four of the models match Grace Blackwell, the GB200 and GB300 parts in NVIDIA’s flagship liquid-cooled rack-scale systems. I then verified these results on real hardware. Running unmodified PyTorch with the seeds I’d recovered, a Blackwell B300 reproduced DeepSeek-V4-Flash’s untouched starting weights bit for bit, and a rented GB200 reproduced Kimi K3’s to a correlation of 0.999995. A Hopper H100 reproduced none of DeepSeek-V4-Flash’s, and changing the seed by one broke the match. (DeepSeek’s seed is 953049583 by the way.) The method also was verified to match 24 known open-weights models to the hardware that developers said they used. It is exceedingly unlikely that these results are a coincidence. Across six trillion combinations, the best accidental match should reach only about 8 sigma (i.e., eight standard deviations above what random chance would produce). The real matches range from 49 to 1,385 sigma, and even the weakest single test hits 20. These were data-center-scale training runs. With some analysis of release schedules and model details, I estimate that the largest, Kimi K3 and DeepSeek-V4-Pro, used 2,000 to 3,000 Blackwell GPUs each. Clusters of this size cost on the order of $150 to $200 million each to buy, and across these labs alone would add up to more than half a billion dollars of export-controlled GPUs, not counting experimental compute or otherwise. It’s quite likely that we see multi-billion dollar expenditure on export-controlled GPUs. I am highly confident in this result, and it has been independently verified by senior researchers at OpenAI and Anthropic. You can read the full report at There is much more I’ve identified about these models through other forms of checkpoint forensics like this, and will have more to share soon.

🇧🇷 In 2018, Brazilian footballer Daniel Corrêa Freitas (24) sent these selfies to his friend on WhatsApp as he lay beside a married woman while she slept. The following day, Daniel’s corpse was discovered in remote woodland. He’d been stabbed multiple times, his throat slit, and his penis cut off. Daniel was attending the 18th birthday party of Allana Brittes, the daughter of Cristiana, the woman in the photos. The celebration continued into the early hours. At some point he entered the parents’ bedroom, lay down next to the sleeping mother and took the photos as a “joke” When Cristiana’s husband, Edison Brittes Jr, returned home he found them in his bed. Edison and several other men dragged Daniel from the bed, beat him, threw him in the trunk of a car, and drove him to the woods where he was killed. Edison was arrested and sentenced to 42 years in jail.

trading doesn't begin and end with a buy button. what happens between discovering a token and eventually exiting matters just as much. that's why the combination of @Hypesium and @RebateLaunch caught my attention. they approach different parts of the trading journey. Hypesium brings launchpad discovery, execution, position monitoring, and exit tools into a Telegram workflow. RebateLaunch adds another layer through launch mechanics, buyer bonuses, holder payouts, and fee-linked $REBATE activity. the interesting part is how these pieces could connect into one flow: discover → fund → buy → monitor → exit. still, a smoother experience doesn't remove the need for research. contract safety, liquidity, bridge routes, slippage, fees, and exit conditions remain important. convenience alone doesn't make a trade safer. my takeaway is that the real value isn't simply fewer clicks. it's having a clearer understanding of every step, from the moment a token catches your attention to the moment you decide to leave the position. that's the kind of trading experience i find worth exploring.