AI

Ukraine signed the Council of Europe Convention on AI and Human Rights.
This is the world's first treaty on AI and democracy.
Together with the EU, the USA, and Japan, the state supported international rules for its application.
Ukraine officially signed the world's first international treaty in the field of artificial intelligence (AI) — the Framework Convention of the Council of Europe on AI, Human Rights, Democracy, and the Rule of Law.

The new pontiff calls for the regulation of AI at a global level.
The Church relies on millennia of social teachings.
The Vatican demands an international treaty on the ethics of AI
Pope Leo XIV called artificial intelligence a key threat to humanity and declares it a priority theme of his pontificate. He questions the moral neutrality of technologies and intends to confront an industry that has been seeking allies in the Vatican for years.

TerraPower received funds amounting to $650 million from Nvidia, HD Hyundai, Gates, and other investors.
It is building a reactor at the site of a coal plant to support the AI sector.
The total amount of investment received by the company has reached $1.4 billion.
The company TerraPower, founded by Bill Gates in 2006 to develop cutting-edge nuclear technologies, has attracted $650 million in investments from NVentures (the venture arm of Nvidia), HD Hyundai, Gates himself, and several current investors.

Alibaba Group Holding Ltd. has announced plans to launch a second data center in South Korea by the end of June, accelerating its multibillion-dollar push into artificial intelligence and cloud computing.
According to a company spokesperson, the new facility is part of Alibaba’s broader 380 billion yuan (approximately $52.9 billion) investment in AI and cloud infrastructure, which was announced earlier this year.
The company stated that the expansion comes in response to growing demand from South Korean businesses for advanced cloud and AI solutions.
Global tech giants race to build AI infrastructure
Alibaba Cloud entered the South Korean market in 2022 with a data center in Seoul, serving customers including AI solutions provider Univa and Naver subsidiary Snow that already use Alibaba Cloud’s foundational AI models. 
Alibaba, China’s largest cloud provider, currently operates 87 availability zones across 29 global regions. The company’s latest expansion efforts come as it faces intensifying competition in its home market and accelerates its pivot toward artificial intelligence.
In February, the firm’s chief executive officer, Eddie Wu, said that artificial intelligence is now the company’s “top priority.” Moreover, Alibaba has launched several large language models, including its newest Qwen3 series. 
The company’s move into South Korea aligns with the growing trend in the tech ecosystem, where other global cloud business giants are adding infrastructure to the country.
For example, SK Telecom Co. and Amazon Web Services Inc. announced that they will invest in building a 103-megawatt AI data center in the southern city of Ulsan.
In August of this year, they will break ground on a facility with 60,000 graphics processing units, intending to grow it into the biggest AI-focused center in the nation. 
OpenAI revealed plans for a new data center in the Asia-Pacific region
The Asia-Pacific hosts more data centers than any region worldwide, and it has capacity expansion plans from Alphabet Inc., Microsoft Corp., and Meta Platforms Inc.
Last month, OpenAI revealed that it is looking at the Asia-Pacific region for new data center sites as the race heats up to build out infrastructure in the region.
The announcement came after OpenAI agreed to work with the United Arab Emirates to build a huge data center project in Abu Dhabi.
Jason Kwon, chief strategy officer for the ChatGPT-maker, revealed plans to visit the region to meet with officials from the government and potential private-sector partners to talk about AI infrastructure and how OpenAI software may be used.
Kwon was scheduled to visit Japan, South Korea, Australia, India, and Singapore, said a person familiar with the plans, who wished to remain anonymous as the talks were private.
The tour was part of a larger initiative unveiled earlier that month. OpenAI planned to work with governments to develop AI systems based on democratic principles and open markets.
The startup will also assist countries in customizing OpenAI products for local languages and needs, and it intends to concentrate on 10 partnerships worldwide initially.
However, OpenAI’s plans faced criticism from Washington due to worries about sharing advanced technology and hardware with other countries, especially in places like the UAE with close connections to China. 
As a result, the US and UAE governments discussed the details of an AI agreement that includes measures concerning China.
In the meantime, over 30 countries have contacted OpenAI to discuss its work on building AI infrastructure worldwide, according to Chris Lehane, the company’s chief global affairs officer.
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#AI

From Autonomous Agents to AI Powered DAOs, Here's What's Coming Next
AI is no longer a sidekick in Web3 it’s fast becoming a core pillar of the decentralized future.
Let's explore 5 powerful trends that will shape how AI and crypto evolve together in the next 2–3 years. If you’re a builder, trader, or investor, these are the shifts to watch (and profit from).

1. AI Powered Autonomous dApps Will Run Themselves
We're entering a phase where dApps won’t need constant human oversight.
AI agents will:
Manage treasury operations automaticallyModerate DAO proposals and flag malicious activityAuto adjust liquidity positions based on market conditions
> Think Uniswap or Aave with embedded AI logic that adapts in real time.

2. Open AI Models Will Be Trained On Chain
Most AI models today are closed and controlled by Big Tech. That’s about to change.
Projects like Bittensor, Gensyn, and Synesis One aim to:
Train large language models (LLMs) using decentralized computeReward data providers with tokensKeep AI development transparent and uncensored
> This creates a public, permissionless way to build smarter AI powered by token incentives.

3. AI Will Be the Interface for Web3 Adoption
Let’s be honest: Web3 UX still sucks for many users.
AI will change this by:
Turning plain language into blockchain actionsOffering guided trading, lending, or staking suggestionsHelping users avoid scams, rugs, or high gas fees
> Example: “Show me the best staking yield under 1% risk” → AI executes it.

4. AI Governed DAOs Will Replace Inefficient Voting
Right now, DAO governance is slow, confusing, and often manipulated by whales.
The next era of DAOs will:
Use AI to assess proposal qualitySimulate outcomes before votingEnsure decentralized inputs drive smarter decisions
> Your DAO might not vote if the AI predicts a proposal will cause financial harm.

5. Web3 SuperApps Will Combine AI + DeFi + Payments
Forget switching between 10 dApps.
AI powered superapps will let you:
Chat with your walletStake, swap, and borrow in one interfaceSpend with a crypto card (automatically topped up by yield)
And yes, WCT and similar protocols could be key to connecting it all serving as the identity and gateway layer.
> 💡 Imagine your Solayer Emerald Card app being upgraded with an AI assistant that grows your assets and manages your payments.

Final Thoughts:
AI will soon be the invisible operating system of crypto making it smarter, faster, and more accessible.
For traders, devs, and users:
These changes wi
ll bring better UX, safer transactions, and new profit paths
Those who adapt early will ride the next big wave of Web3

#wct #Write2Earn #FutureTarding #AI #BinanceSquareTalks

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📉 Is AI Making Us Mentally Lazy? Brainwaves Say YES, Especially for Students!

A recent study by MIT Media Lab suggests that relying on AI chatbots like ChatGPT significantly reduces brain activity during tasks like essay writing. Researchers tested college students using EEG headsets, comparing those who wrote essays unaided, with a search engine, or with help from OpenAI’s GPT-4o. The results? Students who used AI showed up to 55% less brain connectivity, while those using search engines had around 34–48% less. This means less thinking, less focus, and a lot more mental coasting when using AI tools 🤖🧠.
The study didn’t just measure brainwaves. It also tested how well participants remembered what they wrote and how much they felt connected to their work. Once again, the AI group scored the lowest across the board. When switched to a no-AI condition later on, students who had previously relied on AI struggled significantly more than their counterparts. Conversely, those who initially used only their brain power showed increased brain activity once they got access to AI tools — showing it’s better to learn first, then use AI as a support 📝⚡.
MIT researchers warned that early overuse of AI can lead to poor learning habits, shallow memory, and less critical thinking. They suggested schools delay AI use until students have first practiced learning on their own. Although the study is still in pre-review, it’s already sparking concern among educators. The takeaway? If students let AI do all the thinking, we may be heading toward a generation of low-effort, low-retention learners 📉📚.
The MIT team plans to expand their research into coding and creative skills, hoping to explore how AI impacts not just memory, but creativity and problem-solving too. With AI becoming a part of everyday life, this research sounds the alarm: use it smartly—or risk losing your edge. ⚠️🧩
#chatgpt #research #MIT #AI $BTC

The new infrastructure combines storage and cloud GPUs — without dependence on Big Tech.
The Walrus and io.net teams announced the launch of a joint solution for training and deploying AI models. Now developers can upload, train, and store their models without the need to deploy their own servers.