News

Ethereum Just Completed The Long-Awaited Merge Upgrade

According to a Twitter post from co-founder Vitalik Buterin, The Ethereum blockchain network just completed the most ambitious software upgrade ever to take place in crypto.

Published

3 years ago

September 15, 2022

Nour Nasir

ethereum just completed the long-awaited merge upgrade

Ethereum is probably the most important commercial highway in the crypto landscape, and it has now been “merged” — a process that replaced older, power-sapping network computers with more modern and energy-efficient machines. The upgrade will see Ethereum’s energy expenditure decline by a massive 99%.

This kind of upgrade has never been attempted in crypto until now, which is no surprise, as Ethereum is home to 3,500 apps and handles billions of dollars of crypto transactions. End-users shouldn’t notice the merge, but it will eventually make the network faster and cheaper to run.

Although now completed, Ethereum’s merge could see the network suffering from occasional glitches or hang-ups for at least several weeks. Exchanges like Coinbase paused Ethereum withdrawals and deposits during the event in anticipation of hacking attempts and general instability.

There is some concern that EthereumPOW and other forks may create copies that still run on the older computers, potentially creating confusion and leading to more scams and hacking attempts. USDC stablecoin issuer Circle and oracle provider Chainlink have both announced that they won’t support forked versions of Ethereum, and whether those forked chains remain viable over time is something that isn’t yet known.

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So how will the merge affect crypto mining? Only time will tell, but as profitability has already taken a nosedive this year, the merge will further squeeze those who make a living from crypto mining. Energy costs are rising globally, and now miners are faced with the prospect of changing to new equipment or selling up for good.

So what does the future hold for Ethereum in the wake of these massive changes? So far, the jury is out, but some traders anticipate the network overtaking Bitcoin in the long run and are hedging vast sums of money on their prediction.

News

OpenAI’s ChatGPT Health Is A Private Space For Health Data

A new health mode lets the popular AI platform tap medical records and fitness apps while walling off sensitive information.

Published

5 days ago

January 8, 2026

Nour Nasir

OpenAI

OpenAI has created ChatGPT Health, a separate space inside its chatbot platform for handling medical and wellness data. The opt-in feature starts with a small US cohort before widening out.

Health-related questions have long driven traffic to AI tools. OpenAI says over 230 million people ask ChatGPT about health or insurance each week. The new mode adds personal context to that behavior but stops short of diagnosis or treatment advice.

Users can connect records from participating US providers through b.well and link apps such as Apple Health, MyFitnessPal, Function and Weight Watchers. Some links are US-only, while Apple Health needs iOS. Once connected, ChatGPT can surface patterns in labs, summarize information ahead of a clinic visit or help map diet and exercise choices against past data.

The data sits apart from other chat information. Health has its own memories and does not spill into other conversations. Users can view or delete health memories at any time. OpenAI says this material is not used to train its models.

Security is much heavier in this section too. Health adds isolation and purpose-built encryption on top of the platform’s baseline protections. App connections require explicit permission, and disconnecting cuts the feed immediately.

“ChatGPT Health is another step toward turning ChatGPT into a personal super-assistant that can support you with information and tools to achieve your goals across any part of your life,” wrote Fidji Simo, OpenAI’s applications chief.

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Physicians had input during development, though OpenAI has not detailed how that shaped the end product. The launch follows Health Bench, a dataset released in May to test models on realistic medical cases.

While currently rooted in the US healthcare ecosystem, the approach may draw interest in the Gulf and wider MENA markets as governments push digital health records and patient portals under modernization programs. Adoption will depend on whether users trust an AI assistant with such personal material and whether it fits clinical routines.

For OpenAI, the move marks a cautious step into regulated terrain and signals a shift toward sector-specific uses of generative AI.