Ukraine’s Defense Forces struck a Russian chemical plant in Volgograd overnight on September 10-11, 2026, using FP-5 “Flamingo” cruise missiles, according to Fire Point, the Ukrainian company that manufactures the weapon. Fire Point said the missiles hit their target directly and sparked a large fire at the facility. The target, Volgogradpromproekt, is a specialty chemicals […]
Although building a table saw out of LEGO is probably not the first thing that comes to mind when you look at those colorful bits of plastic, [Jamie] has been on a bit of a search for more applications of his LEGO-based air-powered motors. Naturally this led to the idea of doing something useful with it, like making a table saw you can actually use for real wood.
Starting off with a basic prototype using only regular LEGO pieces to get the mechanism figured out, [Jamie] then builds this up into said air-powered table saw featuring an actual metal blade. Suffice it to say that this isn’t something that you want your children to do with their LEGO while unsupervised.
The star of the show is of course the air-powered turbine that spins the blade. This is something that [Jamie] has been working on for a while, going through a number of prototypes to figure out a 3D printed geometry for the turbine blade that helps to convert as much of the high-pressure air into rotation.
Along the way it was also discovered that 3D printing saw blades is pretty hard, probably due to the lack of a sharp edge. This is definitely an area where it’s hard to beat a real table saw blade, with the added caveat that anything that’s good at cutting up boards of wood and sausages will just as happy slice through careless primate fingers.
In terms of safety features, the air supply is cut automatically with a sort of dead-man switch that requires you to keep one hand on it while using the final table saw design. There also an auto-feeding system added that tries to guide the board into the saw, but this turned out to be finicky. Suffice it to say that an air compressor and a handful of non-LEGO-approved components created a pretty convincing table saw.
Before LEGO train sets moved to battery-powered locomotives with plastic rails, all of them worked pretty much like any other train set of the era. This meant metal rails that the locomotive’s wheels would use to pick up power from and a central controller that would inject said power and also regulate the train’s speed and direction. The LEGO 2868b Electric Train Speed Regulator is one such example, and [Nonsense Wars] recently had one under the knife to repair it.
The single PCB inside is quite straightforward, with the 9-12 VAC supply input from an external power adapter, and a variable voltage regulator that sees its target voltage switched by a bank of resistors.
It are these resistors that the big yellow control switches between when you operate it, changing the output voltage and also output polarity you cross the midway point. Effectively this means that there is just one non-passive component on the PCB, in the form of the TO-220 package strapped to the big heatsink.
In this particular unit it was found to be a Fairchild KA317, which is for all intents and purposes here the same as an LM317T. One quick swap later and this controller was back in business like it was 1995.
Compared to the engineering crammed into a modern “smart brick”, things really have come quite a ways in the world of LEGO.
See the TIOBE Index for September 2026, with Python still No. 1, Rust holding the top 10, and Julia nearing a return to the top 20.
The post TIOBE Index for September 2026: Top 10 Most Popular Programming Languages appeared first on TechRepublic.
September 2026 TIOBE Index keeps the top 10 unchanged, as Python falls below 18%, C++ widens its lead over Java, and Julia nears the top 20.
The post TIOBE Index for September 2026: Python Drops Below 18% as Julia Nears Top 20 appeared first on TechRepublic.
September 2026 TIOBE Index keeps the top 10 unchanged, as Python falls below 18%, C++ widens its lead over Java, and Julia nears the top 20.
The post TIOBE Index for September 2026: Python Drops Below 18% as Julia Nears Top 20 appeared first on TechRepublic.
BitGo has partnered with Core Chain to introduce a tokenization framework for real-world assets, including physical gold, real estate, and fine art.
The move puts another institutional custody name into the fast-growing RWA market, where crypto infrastructure is being used to represent traditional assets on-chain. BitGo’s role is important because tokenization does not work on technology alone. The legal and custody layer matters just as much as the chain where the asset is issued.
That is especially true when the assets involved are physical.
Gold, property, and fine art are not like native crypto tokens. They require custody, documentation, valuation, legal rights, and rules around who can access or trade the tokenized version. BitGo’s involvement gives the Core Chain launch a stronger institutional angle than a simple token launch.
For more details, visit the official Blog platform.
Tokenizing a real-world asset sounds simple in theory.
Take an asset, create a token that represents it, and move that token on-chain. In practice, it is much harder. Someone has to hold or verify the asset. Someone has to define what token ownership means. Someone has to handle redemption, transfer rules, compliance, and disputes.
That is why custody sits at the center of serious RWA projects.
If the underlying asset is not properly held, protected, or documented, the token can become little more than a digital claim with weak backing. For physical gold, real estate, and fine art, that backing is the whole product.
BitGo’s participation points to that custody-first approach.
For Core Chain, the partnership adds another institutional use case beyond ordinary crypto trading.
RWA tokenization has become one of the more durable narratives in digital assets because it connects blockchain rails to assets investors already understand. Treasuries, credit, funds, commodities, property, and equities have all become part of that conversation.
Core Chain now wants a place in that market.
The partnership gives it a way to present itself as infrastructure for tokenized assets rather than only another blockchain competing for DeFi deposits and token speculation.
The asset mix is notable.
Tokenized gold is easier for many investors to understand because gold already trades through financial wrappers, vaulting arrangements, and custody systems. Real estate is more complex because ownership rights, local law, liquidity, and transfer restrictions can vary sharply. Fine art adds another challenge because valuation, authenticity, storage, and market access are all specialized.
That means the framework will need strong guardrails.
A tokenized version of a physical asset does not automatically give a holder the same rights as holding the asset directly. It depends on the structure.
That is the part investors need to read carefully.
The broader market backdrop is supportive.
Institutions are increasingly looking at tokenization as a way to improve settlement, collateral management, transparency, and distribution. Crypto-native users are looking for assets beyond volatile tokens. Networks are looking for real use cases that can survive outside speculative cycles.
RWA sits at that intersection.
It is not always exciting in the short term. But if it works, it can make blockchain infrastructure useful to traditional finance in a way that pure token speculation cannot.
BitGo and Core Chain’s RWA partnership is another sign that tokenization is moving into more serious territory.
The opportunity is clear: put traditional assets on programmable rails with institutional custody behind them. The risk is also clear: the legal and operational structure has to be strong enough for the token to mean something.
For now, the story is not that every gold bar, building, or artwork is suddenly liquid on-chain.
It is that institutional custody providers and blockchain networks are still building the rails that could make those markets more accessible over time.
This article draws on Core Chain’s announcement relating to its RWA partnership with BitGo.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released by Blog. at Blog
Welcome back, aspiring cyberwarriors!
Wireless security monitoring in the 2.4 GHz spectrum often depends on active probing, which can not only make the monitoring infrastructure vulnerable to attackers but also clutter the radio frequency environment. On the other hand, taking a passive approach by listening without transmitting allows security teams to detect malicious wireless activity more discreetly and reliably.
To put this idea into practice, the project Travel WiFi Canary was developed. This system serves as an early-warning mechanism using ESP32 microcontrollers. By operating the Wi-Fi radio in promiscuous mode, the device passively captures raw IEEE 802.11 management frames and traffic patterns. This helps identify potential threats such as deauthentication attacks, beacon spam, rogue access points often referred to as Evil Twins, and unauthorized probe requests. Eventually, it provides comprehensive insights into the wireless environment, enabling you to act proactively rather than reactively.
In this article, we will guide you through configuring, flashing, and running Travel WiFi Canary on the LilyGo T3 V1.6.1 development platform. Let’s get rolling!
The Travel WiFi Canary is a project that turns a low-cost ESP32 microcontroller into a passive 2.4 GHz threat-detection device. It operates continuously by alternating between active network enumeration and passive promiscuous packet capturing across specified channels.
At its core, the device’s Wi-Fi chip listens directly to raw radio signals passing through the air rather than connecting to a specific network.
When a wireless signal arrives, a fast automated responder checks the basic structure of the incoming data instantly. It identifies network management signals, such as connection requests, disconnection commands, or nearby network announcements, and separates them from standard web traffic.
To handle intense bursts of wireless activity without getting overwhelmed or missing crucial information, the chip places these flagged security signals into a temporary holding queue. This allows the main system to process and analyze the data safely in the background while keeping the hardware radio free to capture new incoming signals without interruption.
The central intelligence of the project relies on a dynamic confidence-scoring engine rather than rigid binary alerts. As the system processes the ring queues and periodic active scans, it evaluates detected anomalies against a local memory table built during the startup baseline phase.
Active scans check nearby Access Points for structural security violations. If an Access Point using an encrypted baseline protocol like WPA2 or WPA3 is detected operating without encryption, the system identifies an open clone attack. Security downgrades, unexpected vendor prefix mismatches on familiar SSIDs, or sudden disappearances of legitimate Access Points during an active open broadcast instantly contribute points to the global confidence score.
Simultaneously, the passive sniffer thread drains the lock-free queues to detect airborne attacks. Deauthentication frame floods are monitored over rolling time windows, assigning score penalties if threshold limits are breached by single sources or broadcast addresses.
The sniffer also inspects the payload fields inside beacon frames to detect Pwnagotchi signatures, parsing JSON structures hidden in vendor tags to determine if the device is operating in an active attack state.
All calculated points feed into a unified state machine. Aggregate scores between zero and two keep the device in a normal state, scores between three and five push it into a caution state, and scores of six or higher escalate the device into an active alert state.
To prevent temporary radio noise or brief packet anomalies from causing permanent alarm states, a background timer executes a score decay routine every minute. This routine gradually reduces the aggregate threat score over time, allowing the system to automatically transition back to a normal state once threat vectors clear the area. Hardware outputs, such as status LEDs or connected display controllers, continuously mirror the internal state variable to provide real-time visual monitoring.
The Travel WiFi Canary was initially made for the M5Stack Atom Lite development board. However, in this demonstration, I will test it on the LilyGo T3 V1.6.1.
The LilyGo T3 V1.6.1, also called the TTGO T3 LoRa32 V1.6.1, is an open-source development board designed for Internet of Things (IoT) projects and long-range RF communication. It has an ESP32 chip that allows for packet sniffing and Wi-Fi scanning. It gives us all the necessary functionality for wireless threat detection required by the Travel WiFi Canary project.
The best way to flash the Travel WiFi Canary is by using Visual Studio Code along with the PlatformIO IDE extension. The installation process is fairly simple, so let’s move on to the next step, which is cloning the repository. I will use the modified version designed for the LilyGo T3 device. Here’s the command to do that:
Loginkali> git clone https://github.com/AirClick-Code/esp32-wifi-canary.gitNext, connect your LilyGo T3 V1.6.1 to your computer using a data-capable Micro-USB cable. In Visual Studio Code, click on the PlatformIO status bar at the bottom and select env:esp32dev. Then, you can either click the checkmark icon in the status bar or press Ctrl+Alt+B to compile the firmware.
Once that is complete, click the right arrow icon in the status bar to start the upload process. PlatformIO will automatically detect the serial port, trigger the ESP32 to enter bootloader mode via auto-reset circuitry using the DTR and RTS lines, erase the necessary flash sectors, and upload the binaries seamlessly.
After the upload is complete, you can monitor the device with the built-in command:
pio device monitor -b 115200At this point, the state machine and scanning engine are fully operational. During its initial scan, it detected seven nearby access points, recording their SSIDs, BSSIDs, signal strengths, channels, and encryption methods in memory.
Now, let’s simulate an open clone of a known encrypted network. The README file provides the following instructions:
I created a Wi-Fi access point from my phone with the same name as the network to which my system is connected, but without a password. Let’s observe how the WiFi Canary responds.
The script successfully identified the clone and granted 4 points to the score, changing the state to caution. The rogue open clone remained active in the following 20-second scan with a strong RSSI, adding another 4 points, which brought the total score to 8 and changed the state to alert. At the 310-second mark, the decay timer activated, decreasing the score from 8 to 7. However, since the score remained above the SCORE_ALERT threshold of 6 or higher, the system continued to maintain its alert state until the threat was resolved and the score naturally decayed back to zero.
Despite the benefits of confidence scoring in reducing unexpected alerts, the possibility of false positives still exists. This is particularly true in enterprise networks, multi-node mesh setups, and crowded public venues, which can display behaviors that resemble attack patterns. On the flip side, false negatives may arise if a skilled attacker impersonates a legitimate BSSID while carefully adjusting their transmission power to fit in with normal signal strength variations, thus evading detection.
The limitations of the physical hardware create additional coverage boundaries. Passive detection of deauthentication relies heavily on the distance from the receiving device, meaning that low-power or far-off transmitters may be beyond the reach of the antenna. Furthermore, monitoring is confined solely to the 2.4 GHz spectrum, leaving the 5 GHz and 6 GHz bands completely unmonitored.
Lastly, the design of the radio architecture leads to a temporary gap in scanning whenever the chip switches between promiscuous packet sniffing and active environment scanning, resulting in a three-second blind spot where airborne deauthentication bursts can go unnoticed.
For many travelers and remote workers, understanding whether the Wi-Fi around them is secure is crucial. Private messages and sensitive information can be easily compromised when malicious actors set up fake hotspots or disrupt local connections. A device like the Travel WiFi Canary can continuously monitor the airwaves and alert you the moment a wireless attack is detected.
This device uses active Wi-Fi scanning and passive signal listening to find threats in real time. It constantly checks nearby networks against a trusted standard to spot fake open hotspots, duplicate routers, or security issues. At the same time, it listens for harmful activities like deauthentication attacks or rogue scanning tools. When it detects a threat, it raises a danger level with an internal scoring system and triggers a clear visual alarm. This alerts you immediately, giving you a warning before your devices may face any risk.
If you’re interested in improving your knowledge of wireless security, take a look at our Wi-Fi Hacking training. This course will guide you on how to assess the security of wireless networks and equip you with modern strategies to protect them effectively.
The post Building a Pocket Wi-Fi Threat Detector first appeared on Hackers Arise.
Forescout researchers used Claude AI to port a remote code execution exploit between WAGO PLC models.
The post Experiment: Porting a PLC Exploit With AI Takes Hours and Hundreds of Dollars appeared first on SecurityWeek.
For the first time in decades, NASA has rolled out one of its iconic astronaut training aircraft with a bold, new look.
The space agency debuted a new livery on one of its T-38 jets in celebration of its program to return astronauts to the Moon. The Artemis design retains nods to what made the "white rocket" immediately recognizable, but adds a new colorway and painted graphics to make clear where NASA is headed.
"This new 'Artemis' livery has a black and white paint scheme with blue and red stripes that separate those two paint schemes," said Sean Brady, who proposed and designed the new livery while serving as the T-38 project pilot in NASA's Aircraft Operations Division (AOD), part of the Flight Operations Directorate at Johnson Space Center in Houston. "The Artemis program logo in the back and a picture of the Moon is on the left and right side of the rear fuselage."
© NASA/James Blair
If you love a good chicken wrap but want something lighter, fresher and packed with protein, this high-protein chicken salad wrap is exactly what you need!
Looking for a lunch that is high in protein, packed with crunch and actually exciting to eat? This high-protein chicken salad wrap might just become your new favorite!
Creamy, crunchy, juicy and incredibly satisfying — all wrapped up into one wholesome, protein-packed meal. Perfect for a quick lunch, easy dinner or a delicious meal-prep option!
And there are more than 5 reasons why you will fall for this recipe!
They are high in protein while being low in calories thanks to the Greek yogurt instead of mayo.
Loads of crunch from fresh veggies giving every bite plenty of texture.
Big on flavor from paprika, garlic powder and Italian seasoning.
Perfect for meal prep where you can assemble the wraps whenever you need a quick meal when you have the salad ready!
Skillet-toasted for extra deliciousness - that final golden toast takes these wraps from good to seriously addictive!
What is a High-Protein Chicken Salad Wrap?
A High-Protein Chicken Salad Wrap is a wholesome, satisfying wrap made with tender seasoned chicken, crunchy fresh vegetables and a creamy protein-rich dressing, all wrapped in a soft tortilla.
Unlike a traditional chicken salad that often relies heavily on mayonnaise, this version uses Greek yogurt as the base of the dressing, giving it a creamy texture while adding extra protein.
The chicken is seasoned with paprika, garlic powder, black pepper and Italian herbs, pan-seared until golden, then shredded and tossed with crisp iceberg lettuce, carrot, celery and spring onion greens.
The finished chicken salad is tucked into a wholewheat tortilla and lightly toasted on a skillet until golden and crisp.
The result is a fresh, creamy, crunchy and protein-packed meal that works beautifully for lunch, dinner or a quick meal-prep option.
The post High-Protein Chicken Salad Wrap | Easy & Healthy Chicken Wrap Recipe first appeared on Flavor Quotient.
© The Associated Press
In the previous episode, I replaced Discord webhooks with Gotify.
That solved where my infrastructure notifications should go. It did not solve who was supposed to notice that a VPS was running out of disk space, waiting for a reboot or quietly collecting failed systemd units like
When Starbucks scrapped an AI-powered inventory counting tool back in May, just nine months after revealing the new system, it landed as a surprise to those tracking the coffee giant’s high-tech ambitions. A new report from Fast Company tells the inside story of how the national rollout disintegrated — and why the Redmond, Wash.-based startup behind it was left “blindsided.”
Known as “Automated Counting,” the tool was built in partnership with NomadGo to scan backroom storage shelves using iPad Pros equipped with computer vision, spatial computing, and augmented reality. It was designed to automatically tally coffee bags, milk, syrups, and other key supplies.
The idea was to turn an hour-long manual chore into a 10-to-12-minute job so baristas could focus on making drinks and connecting with customers.
The technology was deployed rapidly across all 11,300 company-operated Starbucks locations in North America. But almost immediately, real-world store environments triggered rampant glitches, according to Fast Company.
Baristas reported camera errors — such as shiny refrigerator reflections doubling milk counts or the app misidentifying syrups and trash cans — while stores with spotty Wi-Fi frequently had their counting progress wiped out entirely mid-scan.
According to Fast Company, the technical breakdowns stemmed from both software limitations and outdated infrastructure. While NomadGo’s computer vision achieved 99% accuracy in controlled tests, CEO David Greschler noted that computer vision inherently struggles when inventory changes — requiring up to six weeks of retraining for seasonal holiday cups or limited-time packaging that NomadGo developers sometimes only learned about once items hit store shelves.
Compounding the problem, people involved in building the tool pointed to Starbucks’ backend network, which relies on a legacy IBM AS/400 system dating back to the 1990s, making it difficult for cutting-edge AI to process real-time store data reliably.
When Starbucks notified NomadGo on April 3 that it was pulling the plug, the startup was reportedly blindsided. Greschler called the decision “a complete surprise,” telling Fast Company that “there’s nothing you can do when leadership and strategy change.”
Within days of losing its centerpiece enterprise client, NomadGo was forced to lay off a large chunk of its 30-person workforce, according to the report, including the technical team that managed the Starbucks integration. Six weeks later, on May 18, Starbucks formally notified baristas that Automated Counting was retired, instructing them to rip the QR tracking codes off backroom shelves and return to manual tallies.
A Starbucks spokesperson provided GeekWire with this statement on Monday:
“Human connection is at the core of our business, which is why we have invested $500 million to put more partners (employees) in our coffeehouses. We use technology to support human connection, not to replace it. This tool was designed to simplify a routine task and give partners more time with their customers. When it fell short, we listened to feedback and changed course. That is what innovation looks like at Starbucks: listening, learning, and adapting.”
GeekWire also contacted NomadGo, and we’ll update this story when we hear back.
Despite retiring Automated Counting, Starbucks has pushed forward with other AI initiatives across its business. The coffee giant is building an AI-powered ordering companion inside its mobile app to translate cravings into custom recipes, while testing a ChatGPT integration that suggests drinks based on a customer’s mood or outfit.
For store staff, the company continues to rely on Green Dot Assist, a generative AI virtual assistant built to help baristas quickly look up recipes, standards, and store operating procedures.
Cardano Foundation Takes Over Token2049 Event Organization From EMURGO is the kind of story that can look simple at first glance, but it carries more weight once you place it inside the week’s broader crypto backdrop. The point is not to dress the headline up into something bigger than it is. The point is to understand why it is being watched now.
For more details, visit the official Cardanofoundation platform.
Cardano stories are often really governance and execution stories, with the market watching whether roadmap promises keep turning into usable delivery. That is the lens I would use here. The update is not valuable because it gives traders a magic answer. It is valuable because it adds another reliable data point to a market that has been moving quickly and, at times, messily.
Detail the event's focal points including native governance updates. That detail is important because it gives the story a specific centre of gravity. Without that, it would be too easy to turn this into a generic market move or a recycled headline.
For readers, the useful question is not simply whether Cardano is getting attention. It is whether the underlying development changes access, liquidity, regulatory clarity, infrastructure reliability, or trader positioning. In this case, the answer is that it does give the market something concrete to evaluate.
The source trail matters here. The article is based on Cardano Foundation, which is a cleaner starting point than relying on second-hand summaries or social chatter.
The immediate read is also different depending on who is watching. Traders may focus on price and liquidity, while builders or compliance teams may care more about the rule, integration, product, or infrastructure detail. That split is exactly why the story is worth handling as a standalone article rather than burying it in a broader recap.
There is also a timing element. The July 15 update arrives after several sessions where crypto markets have been sensitive to macro headlines, ETF flows, regulatory signals, and exchange-level product changes. Any credible update that touches one of those channels is going to attract attention.
What should be avoided is the temptation to turn one development into a sweeping conclusion. A listing is not the same thing as adoption. A price rebound is not the same thing as a confirmed trend reversal. A new rulemaking step is not the same thing as final legal certainty. The value is in the narrower, more accurate read.
Cardano’s ecosystem remains heavily tied to governance, development delivery, and community confidence. Updates around events, roadmap ownership, or technical direction can matter even when they do not immediately move ADA.
For now, the story gives the market one more piece of evidence about where Cardano sits in the current cycle. It may be about regulatory clarity, a product rollout, a price level, or a piece of infrastructure, but the same rule applies: the strongest conclusion is the one that stays closest to the source.
If follow-up data confirms the direction of travel, this could become part of a larger narrative. If not, it still gives readers a useful snapshot of how quickly crypto’s active themes are rotating across policy, infrastructure, payments, exchanges, and market structure.
That is why this deserves coverage now. It is not about forcing a dramatic market call. It is about giving readers a clear, grounded explanation of what happened, why it matters, and what still needs to be watched.
This report is based on information from Cardano Foundation.
This article was written by the News Desk and edited by Samuel Rae.
Source: Cardanofoundation
Crypto does not move on one kind of catalyst. Some days it is price, some days it is policy, and some days it is infrastructure. Cardano Foundation Takes Over Token2049 Hosting Rights From EMURGO sits inside that mix, and it gives readers a useful snapshot of where attention is moving today.
For more details, visit the official Cardanofoundation platform.
Cardano stories are often really governance and execution stories, with the market watching whether roadmap promises keep turning into usable delivery. That is the lens I would use here. The update is not valuable because it gives traders a magic answer. It is valuable because it adds another reliable data point to a market that has been moving quickly and, at times, messily.
Cite the scheduled timeframe for Cardano events at Token2049. That detail is important because it gives the story a specific centre of gravity. Without that, it would be too easy to turn this into a generic market move or a recycled headline.
For readers, the useful question is not simply whether Cardano is getting attention. It is whether the underlying development changes access, liquidity, regulatory clarity, infrastructure reliability, or trader positioning. In this case, the answer is that it does give the market something concrete to evaluate.
The source trail matters here. The article is based on Cardano Foundation, which is a cleaner starting point than relying on second-hand summaries or social chatter.
The immediate read is also different depending on who is watching. Traders may focus on price and liquidity, while builders or compliance teams may care more about the rule, integration, product, or infrastructure detail. That split is exactly why the story is worth handling as a standalone article rather than burying it in a broader recap.
There is also a timing element. The July 15 update arrives after several sessions where crypto markets have been sensitive to macro headlines, ETF flows, regulatory signals, and exchange-level product changes. Any credible update that touches one of those channels is going to attract attention.
What should be avoided is the temptation to turn one development into a sweeping conclusion. A listing is not the same thing as adoption. A price rebound is not the same thing as a confirmed trend reversal. A new rulemaking step is not the same thing as final legal certainty. The value is in the narrower, more accurate read.
Cardano’s ecosystem remains heavily tied to governance, development delivery, and community confidence. Updates around events, roadmap ownership, or technical direction can matter even when they do not immediately move ADA.
For now, the story gives the market one more piece of evidence about where Cardano sits in the current cycle. It may be about regulatory clarity, a product rollout, a price level, or a piece of infrastructure, but the same rule applies: the strongest conclusion is the one that stays closest to the source.
If follow-up data confirms the direction of travel, this could become part of a larger narrative. If not, it still gives readers a useful snapshot of how quickly crypto’s active themes are rotating across policy, infrastructure, payments, exchanges, and market structure.
That is why this deserves coverage now. It is not about forcing a dramatic market call. It is about giving readers a clear, grounded explanation of what happened, why it matters, and what still needs to be watched.
This report is based on information from Cardano Foundation.
This article was written by the News Desk and edited by Samuel Rae.
Source: Cardanofoundation
