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Trouble for the new crypto of Arbitrum – The Cryptonomist

Arbitrums new ARB crypto is not doing very well.

Leaving aside what happened on launch day, the initial price good enough to be taken as a reference would seem to be $1.4, which is the price it had stabilized on after the very strong initial rise and fall due to a lack of supply.

Until 1 April, the price of arbitrum crypto had remained around that threshold, but in recent days it has fallen all the way below $1.15, only to rise again to around $1.2.

These are still levels above the $1.13 of 28 March, though yesterdays descent was due to technical problems.

There are even those who speak of a real scandal over what happened.

It all happened just in the last couple of days, when the Arbitrum Foundation, which launched the ARB governance token and is actually the undisputed leader of the Arbitrum DAO, launched a ratification vote on decisions it had already implemented. These included sending nearly $1 billion in tokens to itself.

The fact is that the decision to self-assign tokens worth $1 billion had sparked real anger in the community revolving around the DAO itself, not least because the Arbitrum Foundation is for all intents and purposes a centralized corporation, charged with promoting the self-described decentralized Arbitrum ecosystem.

Indeed, what has happened in recent days casts serious doubt on whether the Arbitrum ecosystem is truly decentralized, and the ratification vote only underscores how the governance of the DAO is far from clear.

Later the foundation itself also had to declare that it will break the controversial governance package it is trying to introduce into a series of separate votes.

It is important to keep in mind that within a crypto DAO, the votes do not represent the people who vote, but the amount of governance tokens that the voters own and use to vote.

Thus it is enough for a single individual to vote with a very large number of tokens to be able to control or influence the final outcome of the vote at will.

Despite this, the Arbitrum community seems to be able to fight back and impose corrective strategies on the foundation that might actually succeed in balancing its enormous power in the DAO.

The real scandal lies in the fact that the foundation apparently had already transferred some of the tokens even before the vote that was to approve their transfer was concluded.

In fact, the Arbitrum Foundation probably considered that vote a mere formality, yet instead the vote was negative.

So the foundation was not able to force or control the outcome of the vote, but would still have been able to move a significant amount of tokens without the approval of the DAO.

This affair has clearly highlighted that the Arbitrum crypto project calls itself decentralized, when in fact it is only partially so.

The DAO does indeed appear to operate in a decentralized manner, although within it the foundation probably has significant power.

At this point, one doubts that it is actually the DAO that has sole power over the evolution of the Arbitrum ecosystem. From this point of view, it would seem that the real power lies in the hands of the foundation.

As if that were not enough, TrustCheck reported that during the Arbitrum airdrop there were more than 400 sites in circulation trying to scam users interested in the airdrop.

Arbitrum had absolutely nothing to do with these scam attempts, but the high number shows that the current situation is far from straightforward.

TrustCheck is a Google extension that detects smart contract scams, and it found at least three scammy smart contracts that were trying to exploit the Arbitrum airdrop news. According to their analysts, more than $20,000 in ETH was stolen, as well as other unspecified amounts in MATIC, LINK, DAI, USDC and other tokens.

However, it is worth mentioning that these dynamics are actually not at all anomalous within the vast world of DAOs. Scandals like this should not happen, but they do indeed occur, and not even that infrequently.

This is probably why the price of the ARB token has suffered very little from this scandal.

Taking as a reference the $1.4 of 24 March, on the following day the price of ARB touched its highest value for this period, excluding that of the initial day, at a high above $1.53.

In the following days, it fell first to $1.2, and then to $1.13, which constitutes the lowest peak for now if we exclude the $1.11 touched very briefly on the launch day.

So the 20% descent in the last two days that has brought the price back below $1.2 is not all that surprising, because it could also seem merely a trivial reverse rebound after returning above $1.4 in late March.

If a scandal such as the one just highlighted was not able to produce new lows, only four days after the previous lows, it means that the markets did not care that much about this inconvenience, perhaps because investors in ARB have already previously priced in similar risk.

However, it remains to be seen whether this problem was just a single event, or whether it is a symptom of some broader and deeper problem that could cause other similar mishaps in the future.

It is worth noting that Arbitrum is by far one of the most widely used layer 2s on Ethereum.

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Trouble for the new crypto of Arbitrum - The Cryptonomist

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Oriental Overseas Insurance Company: Committed to Building a … – Digital Journal

PRESS RELEASE

Published March 31, 2023

Oriental Overseas Insurance Company, a renowned international maritime logistics insurance company, has been steadfastly committed to building vital security channels for global trade since its inception. In 1947, Mr. Dong Haoyun, known as the "Ship King," founded the Oriental Overseas Group, embarking on its glorious journey. In 2018, with the acquisition of Oriental Overseas Group by COSCO Shipping Holdings and Shanghai International Port Group, Oriental Overseas Insurance quickly rose to become one of the world's largest international integrated container shipping and maritime logistics insurance companies.

Oriental Overseas Insurance has always been dedicated to providing high-quality services to customers in various fields, such as international transportation and logistics, container terminal operations, property investment, securities investment, and maritime insurance. Particularly in the core insurance business, the company has won the trust and praise of numerous customers thanks to its outstanding service quality.

In recent years, with the advent of the Web3.0 era, blockchain technology and smart contracts have become hotspots for technological innovation. Oriental Overseas Insurance closely follows the development trends of the times, taking innovation as the core driving force, and actively explores the application of blockchain technology and smart contracts in maritime insurance business. By building a completely decentralized maritime insurance platform, Oriental Overseas Insurance Company is committed to innovating digital industry chain models and providing protection for customers facing various risks in international trade logistics.

Utilizing blockchain technology, Oriental Overseas Insurance Company can ensure the security of customers' personal information and achieve identity verification. Meanwhile, smart contracts will automatically handle investment returns, significantly reducing the risk of manual operations. Consequently, insurance product coverage and returns will no longer be restricted by time and location, allowing users to access platform services anytime, anywhere.

Oriental Overseas Insurance Company firmly believes that the future of the maritime insurance industry will be more transparent, intelligent, and efficient. To this end, the company will always adhere to innovation, providing better services and protection for customers. Looking forward to the future, Oriental Overseas Insurance Company will continue to uphold the service philosophy of "people-oriented, customer-centric, and quality-driven excellence," growing together with customers and constantly improving service quality and customer experience. Facing global customers, the company will strive to provide diversified and intelligent services, meeting the needs of different customers while strengthening communication and cooperation with global partners, working together to create a bright future for the maritime insurance industry.

In this rapidly developing era, Oriental Overseas Insurance Company always maintains its original intention, remembers its mission, and diligently practices its philosophy and vision. With the power of cutting-edge technology, Oriental Overseas Insurance Company bravely ventures into new areas, bringing more secure and convenient insurance services to global customers, further consolidating its leadership position in the international maritime insurance field.

Media ContactCompany Name: Oriental Overseas InsuranceContact Person: JockEmail: Send EmailCountry: HongKongWebsite: https://www.orientaloverseas.com

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Arbitrum to break up governance votes after community backlash – Cointelegraph

Ethereum layer 2 solutions provider Arbitrum has backtracked on its governance voting system following community backlash from token holders.

On April 2, the Arbitrum Foundation tweeted that its first governance proposal, AIP-1, likely will not pass and added its committed to addressing the feedback received from the community.

The move will break up the debatable governance package into smaller segments. The team noted:

The U-turn follows a weekend of community backlash over the foundations ratification vote for decisions it had already undertaken. The proposal would have given the foundation, a centralized company, control over 750 million Arbitrum (ARB) tokens worth around $1 billion.

Critics, such as decentralized finance and decentralization advocate Chris Blec,argued the proposal was decentralization theatre.

The foundation stated that the 750 million tokens received would be voted on in its own AIP. Were working on options to add more accountability, it stated, adding, for example, a vesting period of 4 years. Furthermore, tokens held by the Foundation cannot be used to vote.

There will also be a budgeting proposal, in which the foundation will propose transparency reports to make the community aware of how the funds are spent over time.

The Special Grants program is vague and lacks DAO involvement, the foundation stated. It will be renamed Ecosystem Development Fund with context provided on how the funds will be used to benefit the Arbitrum ecosystem.

Related: Arbitrums first governance proposal sparks controversy with $1B at stake

The new Arbitrum Improvement Proposals will be issued early this week, the foundation concluded.

ARB token prices took a massive hit over the weekend, slumping 18% from an April 1 high of $1.40 to a low of $1.15 in the April 3 morning Asian trading session, according to CoinGecko.

ARB has seen an 86% price decline since itsairdrop on March 23.

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Is Governance All It’s Chalked Up To Be? Arbitrum’s First Governance Vote Sparks Debate | – Bitcoinist

Decentralization and governance go hand in hand. Since Bitcoins inception, crypto maximalists have embraced core components of decentralization, and while governance isnt called out specifically in the Bitcoin whitepaper, its considered one of the largest elements of decentralized environments throughout the crypto ecosystem.

Were fifteen years removed from the Bitcoin whitepaper, and the concepts surrounding governance are certainly as loud as theyve ever been. But its not all in unison. One of the hottest chains on the block, Arbitrum, was host to some governance-related drama over the weekend.

The Arbitrum token (ARB) is less than a month since its public inception (the chain of course, has been around much longer) and is already in the focal point of drama a true crypto moment.

The chains first DAO proposal (or at least what many seemed to perceive as such) went live last week, and community members voted against AIP-1: Arbitrum Improvement Proposal Framework by a count of 100M ARB tokens to 16M tokens (with 14M abstaining).

A major point of disagreement lied in the token allocation assignment, which detailed 750M tokens begin allocated to the Foundation roughly 7.5% of the total allocation. However, despite the vote not being passed, the 750M tokens had actually already been moved to the Foundation, which argued that AIP-1 was a notice (or as they described it, a ratification) rather than a vote. Arbitrum is effectively telling community members the tokenomics, not asking for them which in fact is quite common (well, the tokenomics part) just not through these means.

Life, death, taxes and yes, token allocation disagreements. But this one had a new twist.

As our team at Bitcoinist outlined the movement behind the ARB tokens price action earlier in the day on Monday; the token took a ~20% dip and then rebounded, which many would argue is a better than expected performance. Total value locked on Arbitrum has largely gone untouched as well, showing optimism from the defi crowd, sitting at over $2.2B at time of publishing.

Beyond just the numbers, the situation surrounding Arbitrum reflects a need for greater communication between Foundations and their communities at large; broadly, crypto communities have generally accepted and unprovoked token allocations for Foundations with the understanding that there needs to be some sort of capital allocation for organizers to operate.

Regardless of your stance on tokenomics, proper communication with community stakeholders is critical and largely the root of this situation but certainly isnt irreparable damage for the chain.

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Crypto Payment Gateway Market size is expected to reach USD 4.12 Bn by 2029 at a CAGR of 16.8 percent says Maximize Market Research – Yahoo Finance

MAXIMIZE MARKET RESEARCH PRIVATE LIMITED

Crypto Payment Gateway Market is segmented into Type, Application, Operating System and End User for the analysis of the market. The increasing popularity and market value of cryptocurrency are expected to drive the Crypto Payment Gateway Market over the forecast period.

Pune, March 31, 2023 (GLOBE NEWSWIRE) -- A global Information Technology & Telecommunication research and business-consulting firm, Maximize Market research, has published a market intelligence report on the Crypto Payment Gateway Market. The report is a combination of primary data and secondary data and domain expert has analyzed the Crypto Payment Gateway Market from a local as well as a global perspective. Over the forecast period, Maximize Market research expects, the market to grow from USD 1.19 Bn in 2022 to USD 4.12 Bn in 2029 at a CAGR of 16.8 percent.

Crypto Payment Gateway Market Report Scope and Research Methodology

Market Size in 2022

USD 1.19 Bn.

Market Size in 2029

USD 4.12 Bn.

CAGR

16.8 percent (2022-2029)

Forecast Period

2022-2029

Base Year

2021

Number of Pages

278

No. of Tables

116

No. of Charts and Figures

114

Segment Covered

Type, Application, Operating System and End User

Regional Scope

North America, Europe, Asia Pacific, Middle East and Africa, South America

Report Coverage

Market Share, Size & Forecast by Revenue | 20222029, Market Dynamics, Growth Drivers, Restraints, Investment Opportunities, and Key Trends, Competitive Landscape, Key Players Benchmarking, Competitive Analysis, MMR Competition Matrix, Competitive Leadership Mapping, Global Key Players Market Ranking Analysis.

Request For Free Sample Report: https://www.maximizemarketresearch.com/request-sample/182980

The Crypto Payment Gateway Market report provides analysis through segments such as type, application, operating system and end-user along with their multiple sub-segments. The Crypto Payment Gateway Market report covers mergers and acquisitions by major key companies in the market. The Crypto Payment Gateway Market report includes information regarding growth hubs, market share, investment feasibility and competitive landscape. The bottom-up approach is used to estimate the size of the Crypto Payment Gateway Market by value. The Crypto Payment Gateway Market report includes the market scope in top geographic regions such as North America, Asia Pacific, Middle East and Africa, Europe and South America. The Crypto Payment Gateway Market data has been collected through primary and secondary research methods. Collected data later analysed using research tools such as SWOT, PESTLE and PORTERs five force analysis.

Story continues

Crypto Payment Gateway Market Overview

Crypto Payment Gateway Market is a service that allows merchants and enterprises to accept payments in cryptocurrencies. These gateways work as intermediaries between merchant and customer which uses blockchain technology. Cryptocurrency works on blockchain technology. Decentralization is the base of blockchain. Decentralization means breaking the monopoly, on account of it big market players in the financial sector such as banks, which are not in favor of the Crypto Payment Gateway Market.

Crypto Payment Gateway Market Dynamics

The regions with less banking penetration across the globe are expected to drive the Crypto Payment Gateway Market. Crypto Payment Gateway removes the third-party intermediaries and transfers money directly from consumer to merchant. Also, Crypto Payment Gateway is based on blockchain technology, which is based on the concept of decentralization. Blockchain reduces time in transactions and minimizes financial fraud. These factors are expected to drive the Crypto Payment Gateway Market. Government regulations regarding cryptocurrency in most countries are expected to hinder the Crypto Payment Gateway Market.

Get a Sample Copy of the Report: https://www.maximizemarketresearch.com/request-sample/182980

Crypto Payment Gateway Market Regional Insights

North America held the largest share of the market and is expected to dominate the Crypto Payment Gateway Market during the forecast. Bitcoin ATM has been installed in Mexicos senate building, this news is definitely expected to boost the North America Crypto Payment Gateway Market. Growing acceptance of cryptocurrency, investment and mergers and acquisitions by major key companies in the Asia Pacific is expected to drive the Crypto Payment Gateway Market.

Brazil is completely in favor of the Crypto Payment Gateway, the government of Brazil proposed that crypto should be recognized as a mode of payment. These factors are expected to drive the South America Crypto Payment Gateway Market.

Crypto Payment Gateway Market Segmentation

By Type:

Web-based segment attained the highest Crypto Payment Gateway Market share in 2021. Recently, Google partnered with Coinbase to accept payments for cloud services through Crypto Payment Gateway. This partnership is expected to drive the Crypto Payment Gateway Market.

By Application:

By Operating System:

By End User:

Individuals and businesses held the largest share in the Crypto Payment Gateway Market in 2021. The automotive companies in the United States announced that they will accept payment through cryptocurrency.

Get Customization on this Report for Specific Research Solutions: https://www.maximizemarketresearch.com/request-customization/182980

Crypto Payment Gateway Market Key Competitors include:

Gox

Coinbase

NOWPayments

Blockonomics

Coingate

Coinsetter

BitPay

Avalon

BitcoinX

Nvidia

ATI

Bitcoin Foundation

Spectrocoin

CoinPayments

BitGo

Circle

Coinomi

CryptoPay

GoCoin

Coinify

Coinremitter

Binance

Apirone O

Kucoin

Poloniex

Key questions answered in the Crypto Payment Gateway Market are:

What are Crypto Payment Gateway Market?

What was the Crypto Payment Gateway Market size in 2021?

What is the expected Crypto Payment Gateway Market size during the forecast period?

What are the global trends in the Crypto Payment Gateway Market?

What are the major restraints for the Crypto Payment Gateway Market?

Which segment dominated the Crypto Payment Gateway Market growth?

What is the demand pattern for the Crypto Payment Gateway Market?

What growth strategies are the players considering to increase their presence in Crypto Payment Gateway Market?

What are the upcoming industry applications and trends for the Crypto Payment Gateway Market?

Who are the leading companies and what are their portfolios in Crypto Payment Gateway Market?

Which region dominates the largest market share in Crypto Payment Gateway Market?

Key Offerings:

Past Market Size and Competitive Landscape (2018 to 2021)

Past Pricing and price curve by region (2018 to 2021)

Market Size, Share, Size & Forecast by different segment | 20222029

Market Dynamics Growth Drivers, Restraints, Opportunities, Organization Size, Application and Industry Vertical

Market Segmentation A detailed analysis by Type, Application, Operating System , End User and Region

Competitive Landscape Profiles of selected key players by region from a strategic perspective

Competitive landscape Market Leaders, Market Followers, Regional player

Competitive benchmarking of key players by region

PESTLE Analysis

PORTERs analysis

Value chain and supply chain analysis

Legal Aspects of business by region

Lucrative business opportunities with SWOT analysis

Recommendations

Maximize Market Research is leading Information Technology & Telecommunication research firm, has also published the following reports:

Cryptocurrency Mining Equipment Market - The market size is expected to reach USD 17.54 Bn by 2029 at a CAGR of 2.5 percent during the forecast period. The market is expected to be driven by the retailers that are increasingly using cryptocurrency for online payments.

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Crypto Payment Gateway Market size is expected to reach USD 4.12 Bn by 2029 at a CAGR of 16.8 percent says Maximize Market Research - Yahoo Finance

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Vivek Oberoi speaks his heart out on lobbying and bullying, 20 years after his infamous press conference: It been a hallmark of our industry -…

On April 1, 2003, actor Vivek Oberoi did the infamous press conference wherein he uncovered some harsh realities of Hindi film industry. And now, 20 years later the conversation around lobbying and bullying has resurfaced, this time courtesy actor Priyanka Chopra Jonas, who in a recent interview, said that she was, being pushed into a corner in the industry and had beef with people. Im glad that I emerged from that. I kind of came up through the trial by fire, and survived it. But not everybodys gonna be that lucky, Oberoi confesses.

Recalling his journey aa it marks 20 years since the conference, he says, In hindsight, I went through a lot of stuff that was unnecessary. A lot of lobbies, a lot of repressive stories - kind of what Priyanka has been alluding to also. Thats been a hallmark of our industry, unfortunately. Its been one of the dark sides of our industry. And Ive been on the receiving end of it. I know how frustrating it is, it can make one feel extremely, exhausted and tired. You feel like, Ive just delivered an award winning, commercially successful performance in Shoot out Lokhandwala and after that, Im sitting at home for 14 months, not getting any work. When I went through that, I kept thinking, I want to do something beyond, I wanna do something empowering, something that takes me beyond that. Oberoi shifted his focus to philanthropy and business . He adds, Priyankas latest statement is so inspirational in terms of, finding a new space. She went out and explored something different and got out of a rut and, something magical happened for her personally and professionally.

The Dharavi Bank actor admits that bullying and other disgraced practices can kill young talents at a budding stage.

The industry is a very insecure place. Artists by nature live in a very fragile state because theyre more vulnerable. Whether it was the MeToo movement, the casting couch, or just bullying, lobbying - all of these things take the joy out of the creativity. Im glad these things are being spoken about and slowly will go away, he opines.

While twenty years ago the woke culture was missing, the 46-year-old confesses that the tsunami of fans support now scares a lot of people. Back in the day when I voiced against it, every well wisher would call me up and say, Dont talk about it. It is like a family secret. But if you have abuse going on in the family and you dont speak up about it because its a family secret? Thats stupid. How will the abuse get fixed? So, its a systemic issue in the industry which is getting better. People are being more vocal. There is more decentralization of power. Less and less people can play God and the fans are now aware. Sushant (Singh Rajput, late actor) should have never lost his life no matter what. Its just so sad. What a talented young guy and he should have had a better network of friends. You call the industry, a family, then the family should be there for each other, he signs off.

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Google denies Bard was trained with ChatGPT data – The Verge

Googles Bard hasnt exactly had an impressive debut and The Information is reporting that the company is so interested in changing the fortunes of its AI chatbots, its forcing its DeepMind division to help the Google Brain team beat OpenAI with a new initiative called Gemini. The Informations report also contains the potentially staggering thirdhand allegation that Google stooped so low as to train Bard using data from OpenAIs ChatGPT, scraped from a website called ShareGPT. A former Google AI researcher reportedly spoke out against using that data, according to the publication.

But Google is firmly and clearly denying the data is used: Bard is not trained on any data from ShareGPT or ChatGPT, spokesperson Chris Pappas tells The Verge.

Pappas declined to answer whether Google had ever used ChatGPT data to train Bard in the past. Unfortunately, all I can share is our statement from yesterday, he says.

According to The Informations reporting, a Google AI engineer named Jacob Devlin left Google to immediately join its rival OpenAI after attempting to warn Google not to use that ChatGPT data because it would violate OpenAIs terms of service, and that its answers would look too similar. One source told the publication that Google stopped using that data after his warnings. Perhaps it threw out that portion of the training, too.

Update March 30th, 2:02PM ET: Google would not answer a follow-up question about whether it had previously used ChatGPT data form Bard, only that Bard isnt trained on data from ChatGPT or ShareGPT.

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The Rise of AI Chatbots in Hearing Health Care : The Hearing Journal – LWW Journals

One of the most exciting recent technological innovations has been the deployment of artificial intelligence (AI) chatbots based on large language models (LLMs). AI chatbots are a type of generative AI that can generate text. Other examples of generative AI create pictures (e.g., DALL-E or Stable Diffusion; see Figures 1 and 2) or music (e.g., Jukebox). In November 2022, Open AI launched ChatGPT publicly, an AI chatbot that can engage in conversations in response to questions from the user, so-called prompts, generating responses to users questions (i.e., prompts) that are almost indistinguishable from those of humans. The launch of ChatGPT represents a technological revolution, one that could change the face of health care as we know it, including hearing health care. ChatGPT is not an isolated example but part of a global race of who can develop the most compelling AI chatbot. Besides Open AI, which is financed by Microsoft, other large corporations such as Meta, Google, and Tencent have launched similar proprietary products based on LLMs (e.g., LaMDA).

DALLE-created artwork. Prompt: The rise of AI chatbots in hearing healthcare, digital art. ChatGPT, AI, artificial intelligence, hearing health care, chatbots.

DALLE-created artwork. Prompt: A futuristic illustration of the Planet of the AI chatbots in hearing health care, a movie about invading an ear that is also a hospital. ChatGPT, AI, artificial intelligence, hearing health care, chatbots.

AI Chatbots in Hearing Health Care Applications, Risks, and Research Priorities for Patients, Clinicians, and Researchers.

AI chatbots are computer programs that use natural language processing (NLP) to communicate with humans. They are trained on large collections of language (e.g., all written books and most of the internet) to predict what response is most likely to a wide range of queries. For a human user, it may appear as if the system understands the question and can provide personalized advice, recommendations, and support. In reality, chatbots have no understanding of the world around them nor of the human body and its health status. Still, the potential applications for AI chatbots in health care are broad, with use cases for patients, clinicians, researchers, and training students. 1

The broad trend for the use of AI chatbots in health care is to increase accessibility (to medical knowledge) and affordability of care. Chatbots can provide 24/7 access to health care advice and support, reducing the need for in-person consultations, and potentially improving patient outcomes. Additionally, AI chatbots could potentially provide valuable insights and data to health care professionals, allowing them to make more informed decisions about patient care. More transparency on the data these chatbots have access to and use to produce their output is important and has been raised as a concern regarding existing systems. 2

In hearing health care, chatbots could be used to support patients, clinicians, and researchers (Table 1).

Patients can benefit from AI chatbots in hearing health care in various ways. One potential application is for initial screening and the recommendation of interventions. For example, a patient could interact with a chatbot that asks about their symptoms and hearing history and provides recommendations for self-management of symptoms, further evaluation, or treatment based on the patients responses. 3 This could be particularly useful in cases where patients are unsure whether or not they are experiencing hearing loss, or are hesitant to seek medical attention, or where a profound hearing loss inhibits a conversation with a clinician. Chatbots can also serve as educational resources, self-management tools and screening tools for comorbidities, including social needs. 4 Patients can receive information about hearing health, prevention tips, and advice on how to manage hearing conditions. Chatbots can provide information on the use of management options such as hearing aids, how to change batteries, and troubleshooting common issues. However, a potential risk is that chatbots may not provide accurate recommendations, leading to delayed diagnosis or inappropriate treatment.

Clinicians can benefit from AI chatbots in hearing health care in various ways. Chatbots can assist with data collection and analysis by collecting data on patients hearing health, such as self-reported symptoms or hearing aid usage. Chatbots can provide summary reports or visualizations to help clinicians make treatment decisions, such as providing a summary report of a patients hearing test results, highlighting areas of concern, and providing recommendations for further evaluation or treatment. Another potential application is to assist with decision-making and treatment planning. For medical applications, Google and Deep Mind developed Med-Palm, a LLM that incorporated clinical knowledge that has been evaluated using newly developed benchmarks. 5 Chatbots that unlock clinical knowledge could suggest treatment options based on a patients hearing health history and symptoms and provide information on the benefits and risks of each option. For instance, chatbots could suggest a specific type of treatment based on a patients hearing test results and preferences. Chatbots can also support clinicians in their communication of information in more accessible and person-centered ways.

A potential risk is that chatbots may not provide the same level of clinical judgment and decision-making as a human health care professional. Additionally, there is a risk that the data collected by chatbots may be inaccurate, incomplete, biased, or dated, which could lead to misdiagnosis or inappropriate treatment.

Researchers can benefit from AI chatbots in hearing health care in various ways. Chatbots can collect large amounts of data from diverse populations, providing researchers with valuable insights into the prevalence and impact of hearing loss. For instance, chatbots can potentially collect data on the prevalence of tinnitus in different countries or regions. Another potential application is to facilitate clinical trials and research studies. Chatbots can screen potential participants for eligibility, collect informed consent, and administer study protocols. 4 For example, chatbots can collect self-reported data on hearing aid usage and satisfaction in large-scale clinical trials.

However, a potential risk is that the data collected by chatbots may be incomplete or biased, particularly if the chatbots are only accessible to certain populations or if the questions asked by the chatbots are not culturally sensitive or appropriate for all participants. 2 Additionally, chatbots may inadvertently exclude certain populations from research studies, such as individuals who do not have access to technology or who are not comfortable using it.

There is an urgent priority to investigate the (clinical) application of AI chatbots in hearing health care. General guidelines for the appropriate use of AI chatbots by researchers are being developed in this rapidly changing landscape. Academic journals have broadly agreed that chatbots may not be coauthors on research papers since they cannot take responsibility for their work. 2,6 In terms of hearing research applications, priority should be given to evaluate the validity and reliability of chatbots in collecting and analyzing hearing health data. Researchers and clinicians need to ensure that chatbots can provide accurate recommendations and treatment options and that the data collected by chatbots are reliable.

Usability is another important research priority to ensure that chatbots are user-friendly and accessible to as many patients as possible, regardless of their age or technological literacy. Cultural sensitivity is also important to ensure that chatbots are culturally sensitive and appropriate for all populations. There are also important ethical considerations for using chatbots in hearing health care, including issues related to informed consent, data privacy, and data security. Researchers will also need to assess long-term outcomes of using chatbots in hearing health care. This includes evaluating the impact of chatbots on patient outcomes such as quality of life, satis-faction, and adherence to treatment. Overall, the research priorities for AI chatbots in hearing research should focus on ensuring that chatbots are accurate, reliable, accessible, and culturally sensitive.

Guidelines for appropriate use of AI chatbots by clinicians or patients are not yet available. As the language models have been trained largely by using text from the internet, they are likely to have the same general opinions, stereotypes, and biases that are present on the internet. For this reason, we see a task for specialists and patient organizations to test what prompts yield the best results and provide the guidelines to avoid misuse or misunderstandings.

The rise of AI chatbots (based on LLMs) represents a significant technological advancement that has the potential to revolutionize hearing health care. AI chatbots have the potential to provide personalized advice and support to patients while also providing valuable insights and data to health care professionals. However, it is important to consider the potential risks and benefits of AI chatbots and to prioritize further research to ensure that these technologies are used ethically, effectively, and safely in hearing health care.

We would like to acknowledge the contribution of ChatGPT, an AI chatbot trained by Open AI using a large language model (LLM), in providing valuable insights and guidance for this article. We experimented with prompt engineering and had conversations with ChatGPT playing the role of patient and clinician to get a first impression of what AI chatbots, such as ChatGPT, could and could not offer.

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9 signs you’re a deep thinker whose mind works differently – Hack Spirit

If thinking were an Olympic sport, Im sure Id be in with a chance of a medal.

And believe me, Im certainly not bragging here.

In fact, there have been plenty of occasions I wish my deep thinking came with an off switch.

I suspect every deep thinker can relate to the chattering voice that on occasion they wished would just shut up.

But the truth is that I also love my ability to think deeply.

Not only do I think it makes me a more interesting person, but it also brings a richness to life that I wouldnt want to be without.

Maybe you can relate?

If youre a deep thinker, there are most likely certain signs that you recognize all too well.

It probably comes as know surprise. When you spend so much time in your own head, you tend to get to grips with what makes you tick.

Deep thinkers are reflective.

They are naturally analytical and so they spent time considering their strengths and weaknesses too.

When you have a habit of self-reflection, it means you have high intrapersonal intelligence.

You take the time to think about your thought processes and your feelings. And this introspection builds your self-knowledge.

To me, self-awareness is the greatest gift to arise from deep thinking. Because it brings us the potential for change.

Only when we get to know ourselves can we honestly evaluate ourselves, our lives, and the world we live in.

Deep thinkers are tapped into the subtleties of life.

So they can observe the most minute of details.

Basically, theyre not only good at reading themselves, but theyre also good at reading the room in general.

This can give deep thinkers the gift of social awareness. Because with depth often comes heightened perception.

You may notice that youre a good judge of character and can suss people out quickly. You can probably pick up on someone elses energy or intentions.

What youre actually doing is reading the little signs that maybe other people miss.

Deep thinkers can be detail orientated because they have a habit of closely studying.

First off, can we please do away with the myth that introverts are shy or even quiet.

Sure, some are. But plenty of others are not.

For years I let people tell me I was an extrovert, just because I am a natural communicator, have lots of opinions, and Im far from timid.

But they were so wrong.

Because rather than be a personality type, introversion is so much more.

Introverts brains are wired differently.

Research has found we process stimuli differently and have longer neural pathways.

So it can be more complicated and take longer for our brains to process interactions.

Thats why we need plenty of alone time to recharge, and why we find it stimulating enough simply to be alone in our thoughts.

But what has this all got to do with deep thinkers?

Deep thinkers are often introverts because the very definition of introversion is that your energy tends to be more focused on your own inner world.

So there is often a big cross-over between introversion and deep thinking.

What are introvert tendencies?

Were talking about things like:

There are always two sides to every coin.

As a deep thinker myself I wholeheartedly believe its strengths outweigh its burden.

But I wont pretend it doesnt have its downsides at times.

Personally, my habit of deep thinking needs to be reined in sometimes.

Otherwise, I can fall into stress, low-level anxiety and unnecessary worry. My mind quickly spills over into hypervigilance and over-planning.

The reality is that thinking is hard to simply switch off.

So deep thinking can turn into overthinking or even rumination.

I overwhelm and flood my brain contemplating or trying to preempt. And like an overheating laptop, that stops your brain from functioning properly.

Meditation, breathwork, yoga, journaling, and exercise have become vital tools in my belt to nip overthinking in the bud and give my active brain a rest.

Introverts and deep thinkers often have a natural tendency to enjoy being alone.

It gives them time to spend time contemplating their feelings and thoughts. After all, deep thinking isnt a group activity.

But when youre a really deep thinker, you might find that too much time alone can be bad for your mental health too.

Because as weve seen, deep thinking can slip into overthinking. And youre more likely to do this when you have a lot of time on your hands.

Deep thinkers are often perfectly happy to do very little.

Its not that theyre boring, quite the opposite. Researchers have even found this is a sign of intelligence.

They dont need to be constantly doing something to feel stimulated. Their thoughts provide them with plenty of stimulation.

But just like the yin and yang of life, balancing this with staying active can be important to our well-being.

That way, we dont get too lost in thought.

Moving our bodies, getting lost in activities and the company of other people can pull us back into the present.

Deep thinkers tend not to see the world in black and white. They see all the nuanced shades of grey in between.

You might be naturally good at playing devils advocate.

You arent hasty in drawing conclusions.

You prefer to contemplate the deeper implications of something before making a decision.

This is a great skill to have in life. It ultimately promotes open-mindedness.

Not only that but it encourages empathy.

When we make an effort to understand and contemplate where other people are coming from, its easier to connect with them.

The flip side of seeing life from different angles can be indecisiveness.

When you recognize life isnt so simple, you spend a lot of time analyzing and contemplating your options.

In many circumstances, this is wise. As the saying goes, only fools rush in.

So the ability to break things down and contemplate them logically can be handy.

Unfortunately in other situations, thinking ourselves around in circles probably does little good.

For example, research has suggested for really complicated decisions, going with your gut can be a much better strategy.

Thats because intuition is far more logical than we often give it credit for.

Its not emotional or impulsive. Its actually our unconscious thats at work.

In an instance, its accessed a vast warehouse of information and experiences that are neatly (yet silently) stored away in the back of our brains.

It then presents this to you with a gut feeling about something.

And studies have found it can be a really effective way to make decisions, instead of getting stuck in contemplation and uncertainty.

Curiosity is the great fuel that feeds a deep thinkers mind.

Its a bit like the child who is forever asking but why?.

Your thirst for knowledge can feel insatiable. You just love to figure things out.

There is always another layer to unpeel. There is always another mystery in life to uncover.

You most likely find learning fascinating, regardless of the subject.

Because its the newness of the information or perspective that interests you more than the topic itself.

Everything you learn offers you more ideas and thoughts to contemplate.

Deep thinkers very rarely take things at face value. They have inquisitive natures that cant help but delve further below the surface.

Why isnt merely a question you ask, its a state of mind you adopt.

And that state of mind is one of discovery and curiosity.

At the end of the day, our thoughts power our emotions.

So its very little surprise that deep thinking often leads to deep feeling too.

Deep thinkers are excellent at uncovering a richness to life. They go deeper in every sense, and that means on an emotional level too.

Youre also highly tuned in to other people, and youre extremely conscious of your environment and surroundings.

So in many ways, you have a natural antenna thats going to pick up on a lot.

They say that ignorance is bliss because it shields you from so many things.

But as a deep thinker, you dont (in fact, you cannot) hide. Instead, you face and contemplate all the many facets of life.

Sensitivity is your superpower, and yes, at times your cross to bear as well.

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9 signs you're a deep thinker whose mind works differently - Hack Spirit

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The state of artificial intelligence: Stanford HAI releases its latest AI … – SiliconANGLE News

The Stanford Institute for Human-Centered Artificial Intelligence today released the latest edition of its AI Index Report, which explores the past years machine learning developments.

Stanford HAI, as the institute is commonly known, launched in early 2019. It researches new AI methods and also studies the technologys impact on society. It releases its AI Index Report annually.

The latest edition of the study that was published today includes more than 350 pages. It covers a long list of topics, including the cost of AI training, efforts to mitigate bias in language models and the technologys impact on public policy. In each area that it surveys, the report points out multiple notable milestones that were reached during the past year.

The most advanced neural networks have become more complicated over the past year. Stanford HAI points to Google LLCs Minerva large language model as one example. The model, which debuted last June, features 540 billion parameters and took nine times more compute capacity to train than OpenAI LPs GPT-3.

The growing hardware requirements of AI software are reflected in the rising cost of machine learning projects. Stanford HAI estimates that PaLM, another Google model released last year, cost $8 million to develop. Thats 160 times more than GPT-2, a predecessor to GPT-3 that OpenAI released in 2019.

Though AI models can perform significantly more tasks than a few years ago, they continue to have limitations. Those limitations span several different areas.

In todays report, Stanford HAI highlighted a 2022 research paper that found advanced language models struggle with some reasoning tasks. Tasks that require planning are often particularly challenging for neural networks. Last year, researchers also identified many cases of AI bias in both large language models and neural networks optimized for image generation.

Researchers efforts to address those issues came to the fore in 2022. In todays report, Stanford HAI highlighted how a new model training technique called instruction tuning has shown promise as a method for mitigating AI bias. Introduced by Google in late 2021, instruction training involves rephrasing AI prompts to make them easier to understand for a neural network.

Last year, researchers not only developed more capable AI models but also found new applications for the technology. Some of those applications led to scientific discoveries.

In October 2022, Googles DeepMind machine learning unit detailed a new AI system called AlphaTensor. DeepMind researchers used the system to develop a more efficient way of carrying out matrix multiplications. A matrix multiplication is a mathematical calculation that machine learning models use extensively in the process of turning data into decisions.

Last year also saw scientists apply AI to support research in a range of other areas, Stanford HAI pointed out. One project demonstrated that AI could be used to discover new antibodies. Another project, also led by Googles DeepMind, led to the development of a neural network that can control the plasma in a nuclear fusion reactor.

Stanford HAIs new report also dedicates multiple chapters to the impact of AI on society. Though large language models have only entered the public consciousness in recent months, AI is already making an impact across several areas.

In 2021, only 2% of federal AI-related bills proposed by U.S. lawmakers were passed into law. Last year, that number jumped to 10%. At the state level, meanwhile, 35% of all AI-related bills passed in 2022.

The impact of machine learning is also being felt in the education sector. According to Stanford HAIs research, 11 countries have officially endorsed and implemented a K-12 AI curriculum as of 2021. Meanwhile, the percentage of new computer science Ph.D. graduates from U.S. universities who specialized in AI nearly doubled between 2010 and 2021, to 19.1%.

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