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Nvidia Stock Drops by 54% in 4th Quarter of 2018

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Nvidia Stock Drops by 54% in 4th Quarter of 2018

Nvidia has been one of the best performers in S&P 500, with dramatically rising stock since early 2016 till September this year. But post that, the stock took an extremely bad hit, dropping by 54% in the stock price.

And this is not the only blow Nvidia received. Just ahead of Christmas weekend, the stock fell by 4.09%, closing at $ 129.57 on Friday. Since 2016, this has been the worst quarter for Nvidia.

But why has this blow occurred?

Nvidia was continuously rising due to the demand for processors to handle workload of AI and mining of crypto currencies. And that rise lifted its market value from $14 Billion to $175 Billion. But suddenly, in this quarter, majority of the investors dumped the stock of Nvidia, dropping it by whooping 54%.

This drop made it the worst performing S&P stock of 2018’s 4th quarter.

But Nvidia is not the only stock that got hit. Due to this, many others also got caught in this whole dropping index domino, for example Nasdaq, which dropped 21% this quarter. Many other chip stocks also got hit, just like Nvidia.

So this quarter performed poor for majority of chip manufacturing companies, including Nvidia, Micron, AMD, and many more.

And the primary reason for Nvidia’s drop is its relation to crypto currencies, specially the bitcoin. The bitcoin crashed severely this year. And that reduced the demand for the graphic processing units of Nvidia, which eventually led investors to back off from its stock. But this was not the sole reason.

Nvidia also used to provide data center requirements to cloud providers like Amazon. This segment failed to meet the estimates of Wall Street, which also became a major factor to its downfall. But now, when the maximum downfall has already occurred, both in cryptocurrencies as well as Nvidia, we are hoping to see rise this coming year.

Michelle has been a part of the journey ever since Bigtime Daily started. As a strong learner and passionate writer, she contributes her editing skills for the news agency. She also jots down intellectual pieces from categories such as science and health.

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Business

Click for Counsel: YesLawyer Wants to Make Lawyers as Accessible as Wi-Fi

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Photo Courtesy of: YesLawyer

Byline: Andi Stark

For many people facing a legal problem, the most difficult part is not understanding their rights but finding a lawyer willing to speak with them in the first place. Long wait times, unclear pricing, and administrative hurdles often delay even the most basic consultations. YesLawyer, an AI-enabled plaintiff firm operating across all 50 states, is testing whether technology can shorten that gap.

Founded in 2024 by 25-year-old entrepreneur Rob Epstein, the platform offers free intake, automated screening, and, in many cases, same-day conversations with licensed attorneys. The idea is simple: reduce the friction between a client’s first request for help and an actual legal discussion. In this interview, Epstein explains how the system works, where artificial intelligence fits into the process, and what problems the company is trying to address in the broader legal system

Q: When you say you want lawyers to be “as accessible as Wi-Fi,” what does that mean in practical terms?

A: It’s a way of describing speed and availability. Someone dealing with a workplace dispute, a serious injury, or an immigration issue should be able to move from an online form or phone call to a real conversation with counsel in hours, not weeks. YesLawyer is structured so that a client begins with a free case evaluation, goes through automated conflict checks and basic screening, and, in many instances, speaks with a lawyer the same day.

Q: How does the process work once someone contacts the platform?

A: We use a structured workflow. It starts with a short questionnaire and an initial conversation to capture basic facts. That information feeds into conflict checks and internal review. The system then proposes a match with a licensed attorney and provides a calendar link for a virtual consultation, often within 24 hours. After the meeting, the client receives a written legal plan outlining next steps, deadlines, and estimated fees.

Q: Where does artificial intelligence fit into that process, and where does it stop?

A: AI is used for organizing and routing information, not for giving legal advice. It helps with conflict checks at scale, case categorization, and structured summaries so attorneys can focus on the substance of the matter. Every consultation is conducted by a licensed lawyer, and all decisions about strategy or next steps are made by humans.

Q: What problem is this model trying to solve in the current legal system?

A: Delay and cost are still major barriers. Many civil plaintiffs face long waits just to get a first appointment, along with high retainers and hourly billing that make early legal advice risky. We try to respond with faster consultations, flat-fee options, and financing. The idea is to remove administrative friction so lawyers spend less time on logistics and more time speaking with clients.

Q: Some critics say platforms like this blur the line between a technology company and a law firm. How do you describe YesLawyer?

A: We describe ourselves as a national, AI-enabled plaintiff firm that connects clients with independent attorneys. That structure does raise regulatory questions, especially around responsibility and oversight. We focus on licensing verification, attorney-written case plans, and clear communication about fees and services.

Q: You’ve said the main bottleneck is “systems” rather than people. What do you mean by that?

A: The issue isn’t that lawyers don’t want to help more people. It’s that the systems around them make it hard to scale their time. Intake, scheduling, and document handling take hours. Automating those parts means attorneys can handle more matters without being overwhelmed by repetitive tasks.

Q: Does this model risk favoring only the most profitable cases?

A: That’s a real concern in legal technology. Automation often works best for repeatable, high-volume disputes. Our view is that lowering administrative cost can actually make it easier to take on smaller or more complex cases that might otherwise be turned away. Whether that holds over time depends on the data.

Measuring Impact Over Time

YesLawyer’s attempt to compress the timeline between inquiry and consultation reflects broader changes in how legal services are being delivered. As artificial intelligence becomes more common in administrative work, firms are experimenting with new ways to reduce wait times and clarify costs.

The company’s early growth suggests that many clients value faster access to an initial conversation, even before considering long-term representation. Whether this platform-based model becomes widely adopted or remains one of several emerging approaches will depend on regulatory developments, lawyer participation, and measurable outcomes for clients. For now, YesLawyer’s experiment highlights a central question in modern legal practice: how quickly can help realistically be made available to the people who need it.

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