AI

In a world-first, China just completed a mind-blowing 157.79 km resurfacing of the Beijing-Hong Kong-Macao Expressway — using ONLY robots, drones, and AI.

No human hands on deck — just pure futuristic tech at work! 🔥

This fully unmanned project marks a major milestone for smart infrastructure, setting new standards for speed, precision, and safety in road construction.

From self-driving pavers to flying drone inspectors, the future of building roads is officially here — and it’s looking ⚡fast, ⚡efficient, and ⚡flawless.

Key Takeaways:

🚀 100% autonomous construction
🛣️ 157.79 km completed
🎯 Higher quality, faster delivery, zero human error

China just showed the world how AI, robotics, and drones are ready to reshape the construction industry forever.

The future? It’s already paving itself.

Crypto never sleeps — and neither does AI.
In 2025, the combination of artificial intelligence and cryptocurrency is creating new opportunities for traders and investors alike.
Here’s how AI is shaking up the game — and why major coins like $BTC , $ETH , and $SOL are right in the middle of this shift.
1. AI Makes Market Predictions Faster
In the fast-moving world of crypto, speed matters.
AI models are now analyzing real-time data from charts, news, and even social media. This means traders get quicker insights on assets like $BTC and $SOL — helping them spot trends before the crowd.
While no system is perfect, those who leverage AI tools can make more informed moves in volatile conditions.
2. Smarter Trading Bots Are Dominating Volatile Markets
AI-powered bots are changing how people trade $ETH , $BNB, and other major coins.
These bots can react to price movements in milliseconds, executing buy or sell orders without hesitation — something even the fastest human can't match.
Many traders now use bots to stay active 24/7, especially during Bitcoin halving years or major Ethereum upgrades.
Tip: Always do your research (DYOR) before trusting any trading bot.
3. AI Could Unlock New Use Cases for Blockchain
Beyond trading, AI is driving innovation in blockchain projects themselves.
Projects like $FET (Fetch.ai) and $AGIX (SingularityNET) are leading the way by merging AI and blockchain technology.
As these technologies grow, we could see new decentralized applications (dApps) powered entirely by AI — opening up even more possibilities for coins like $SOL and $ETH .

Will AI be the biggest crypto trend of 2025?
Tell me your prediction in the comments!
If you found this helpful, smash that follow button for more crypto insights — and stay ahead of the market!
#crypto #AI #bitcoin #Ethereum #solana

On Friday, the Social Security Administration rolled out a new ChatGPT-style chatbot called “Agency Support Companion.”  The tool was meant to help staff handle routine tasks and boost productivity. Instead, employees say it barely works, and a mismanaged launch has left many wondering if automation is the right path for America’s largest social services agency.
In recent months, Musk’s organization, known internally as DOGE, has aggressively reduced federal agencies by cutting jobs and budgets. The push toward an “AI-first” model aims to replace human workers with software wherever possible. As part of that strategy, the new chatbot was built into the everyday workflows of agency staffers, reported by Wired, with the promise of easing their workload.
An internal email described it as a way to “assist employees with everyday tasks and enhance productivity,” but in practice, the app has received little attention.
Sources inside the agency say the roll-out was accompanied by a painfully bad training video featuring a poorly animated, four-fingered woman. The clip was supposed to guide users through the app’s features, but it failed to warn staff against uploading sensitive personal data. This slip forced the agency to send a follow-up email reading, “Our apologies for the oversight in our training video,” to warn employees of the risk.
Few people have taken the SSA AI training video seriously
“I’m not sure most of my coworkers even watched the training video,” one Social Security staffer told Wired. They added that when they tested the chatbot, “several of the responses I received from it were incredibly vague and/or inaccurate.” Other employees reportedly mocked the crude graphics. “Nobody I know is [using it]. It’s so clumsy and bad,” the source said.
Critics warn that this stumbling start may foreshadow wider failures.
Similarly, in Brazil, during 2018, a state-owned company called Dataprev launched Meu INSS, an app designed to process social security claims using computer vision and natural language processing. However, the system has often rejected valid claims due to minor errors, triggering lengthy legal appeals.
One example involves 55-year-old Josélia de Brito, a former sugarcane worker whose retirement application was denied because the automated system misidentified her gender. “I have all the documents proving my health condition, proving everything, and [the benefit] still gets denied. It’s a humiliation,” she told the Rest of World.
Rural farmworkers, many of whom lack basic digital skills, have struggled with the shift to online services. “People out here cannot [even] work with Gmail, Facebook, Instagram,” said Francisco Santana, president of the Union for Rural Workers at Barra do Corda. “Processes are [getting] more and more automated, and society wasn’t made ready for it, especially further away, in the outskirts, for people that live in rural areas.”
Those hurdles abroad highlight potential pitfalls for the U.S.
Social services are already under pressure to “modernize,” a push that began under the Trump administration’s team of so-called technocrats.
Musk’s DOGE has taken that mission further by seeking to cut the federal workforce in half. “Everything that can be machine-automated will be. And the technocrats will replace the bureaucrats,” a person familiar with DOGE’s plans told the Washington Post.
DOGE’s emphasis on automation has bred confusion rather than efficiency.
A recent mishap at the SSA illustrates the stakes. DOGE staff reportedly marked “countless” living benefit recipients as “dead,” cutting off their payments. “About 4 million people, they marked them as dead,” said Rennie Glasgow, a longtime claims technical analyst at the agency, speaking to The Daily Beast. “They’re sending us an email saying, ‘If these people come into the office with their identification, you can reinstate them.’” That reinstatement process can take “about three to four days,” Glasgow added, as staff must manually “resurrect” each recipient in the system.
Beyond stopping benefits, DOGE also plans to rewrite the SSA’s entire software codebase within months. Sources say that to meet that deadline, the team will almost certainly rely on AI for coding, a practice that demands close oversight because of the high error rate in machine-generated code.
Given DOGE’s rocky track record so far, an automated overhaul could introduce even more chaos.
Some observers suspect those mistakes may be intentional. A school of critics argues that DOGE’s goal isn’t genuine reform but rather the destabilization of the SSA to pave the way for privatization. If so, the misfires and mayhem may be exactly what Musk’s team is aiming for.
#AI #DOGE

Today, artificial intelligence and automated systems have entered every aspect of our lives. But how much can we trust these systems? This is where SPEX comes in! Developed by Warden, SPEX (Statistical Proof of Execution) is ushering in a new era for proving transaction accuracy.

In this article, we explain what SPEX is, how it works, and why it is very important in a way that everyone can understand!
What is SPEX?
SPEX is a system that proves a task has been completed correctly.