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AI could make us conversant with critters, unlocking conservation tools and serious risks – GeekWire

Humpback whales, such as the mother and baby photographed here in Tonga, engage in complicated communications. The Earth Species Project (ESP) is partnering with researchers to develop new tools for understanding animal vocalizations to help save wildlife. (Katie Zacarian Photo)

My whippet Roxy is smart. She understands dozens of words and phrases well beyond sit and stay. Shell go find dad when commanded and run to the window when asked whos here?

So a couple of years ago I bought these big, paw friendly buttons that play a recorded word when pressed. The YouTube video that sold me on the technology features a pup pushing buttons to elicit the phrase love mom. I thought Roxy might find the tool empowering. Her big brown eyes and expressive brows can only say so much.

It turned out that while Roxy seemed to understand the concept, she despised the buttons.

But what if instead of pressuring Roxy to speak English to me, I could go full Dr. Dolittle and speak whippet to her?

A nonprofit called Earth Species Project, or ESP, is on a trajectory to talk with animals but with a much higher purpose than my intended goals with Roxy.

[ESP has] this amazing practical near-term conservation benefit, with this long-term, moon-shot vision of being able to communicate with animals.

ESP is working with more than 40 research efforts around the globe, using machine learning and artificial intelligence to help scientists understand animal communications in pursuit of saving imperiled species. The organization recently received $1.2 million in funding from the Seattle-based Paul G. Allen Family Foundation to support its work. Allen, the Microsoft co-founder who passed away in 2018, was interested in both protecting wildlife and AI research.

[ESP has] this amazing practical near-term conservation benefit, with this long-term, moonshot vision of being able to communicate with animals, said Gabriel Miller, technology director for the foundation.

The technology could unlock valuable insights into the lives of wild animals and lead to more effective conservation, while also inspiring a greater human kinship with the natural world, say ESP leaders and supporters. They suggest the research could have an impact akin to the 1970s album of humpback whale songs that spurred critical marine mammal protections, or the Earthrise photo from Apollo 8 that captured the planets vulnerability and stoked environmental concerns.

Understanding animal communication can essentially transform human perspective on how we relate to the rest of nature, said Jane Lawton, ESPs director of impact.

But while ESPs intentions are to bolster a connection to animals and increase protections, the work raises serious moral and safety concerns for wildlife. Just as there are fears about the impact of AI and large language models on the human condition, there are significant risks to the natural world.

A paper this year from Princeton University professors called out the neglect of animals in the field of AI ethics. The article, published in the journal AI Ethics, said that it remains the responsibility of AI companies, AI developers and scientists to identify, predict, and thereby as far as possible prevent, harms that are done to animals.

Karen Bakker, a University of British Columbia professor and expert on the issue, is likewise worried.

The ethical questions that arise when we imagine using digital technology to try to talk to animals are really complex, Bakker said in an interview on the KUOW podcast The Wild.

ESP is developing foundational machine learning models that perform operations such as the detection and classification of animal vocalizations, as well as separating vocalizations from background noise.Funding from the Allen Family Foundation will support its work on multi-modal models that pair audible communications with visual observations, videos and movement-detecting monitors, which provides context for the sounds.

The nonprofit is developing tools that are species-agnostic and can be fine-tuned for specific research. It has dozens of partnerships, including with scientists who are researching vocal communications between carrion crows and a team investigating the calls of beluga whales and what they reveal about their social structure, among other projects.

To understand how communications could aid protections, consider, for example, the ability to decode elephant communications. Those insights could inform conservationists when and where a herd is planning to migrate, and they could take action to ensure a safe passage. Or if humans could eavesdrop on whales to learn when theyre surfacing, diving or hunting prey, it could be possible to prevent deadly ship collisions.

But while AI could be used to guide animals away from danger, it could be also used to lure them to hunters and poachers.

The ESP co-founders all come from technology backgrounds. CEO Katie Zacarian was an early Facebook employee in New York; President Aza Raskin is a tech entrepreneur and also a co-founder of the Center for Humane Technology; and senior advisor Britt Selvitelle was on the founding team at Twitter.

The most ambitious element of ESPs work is creating two-way communication with animals. The idea follows the approach used in developing large language models like those that power ChatGPT and related generative AI tools that allow humans to engage in verbal dialogue with machines. The models are trained on massive volumes of writing, learning the patterns of speech.

Researchers can also use recordings of animal communications to build a model that converses with non-humans. But the pursuit has a particularly curious and controversial twist.

Theres a high likelihood, ESPs Lawton said, that if a model achieves fluent, two-way communication between a computer and animal, we will not, as the human beings, understand the meaning of that communication.

That could be problematic. There is plenty of evidence that generative AI can use inappropriate and erroneous language in the human realm suggesting that a computer could likewise misspeak to an animal without the knowledge or understanding of humans.

Theres a lot of uncertainty about the outcome of animal-machine dialogue.

So this could simply land flat, like the animals dont care, they dismiss it, Bakker said on KUOW. Or it could actually do a great deal of harm.

The Allen Family Foundation funding will support ESP in the generation of novel vocalizations that can be used in playback experiments that may result in the machine learning models engaging in two-way communication with another species. Researchers working with ESP currently are experimenting on communication with zebra finches in a lab setting.

ESP is working with research partners and ethics experts to determine whether there is a need to develop a set of guardrails to regulate the use of AI in animal communication research, Lawton said. The ethical issues in this space are a concern for the foundation, said Miller, and a point of active discussion.

Speaking on KUOW, ESPs Raskin suggested the need for laws addressing cross-species communication akin to the Geneva Conventions humanitarian rules. Bakker countered that wasnt enough, and called for the scientific community to develop protocols in this space that are similar to those restricting the use of CRISPR gene editing.

While the researchers and supporters acknowledge the serious ethical concerns that need to attention, they champion the technologys potential for good.

Decades ago, Miller himself studied hummingbird vocalizations. He would have loved access to high-tech tools, he said, to decipher the diversity of the calls and discover how the birds learn to communicate with them.

It makes data a lot more usable and practical, he said. The amount of power in these approaches is hard to overstate.

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AI could make us conversant with critters, unlocking conservation tools and serious risks - GeekWire

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FTC report details key takeaways from AI and creative fields panel discussion – JD Supra

On December 18, the FTC released a report highlighting key takeaways from its October panel discussion on generative artificial intelligence(AI) and creative industries. As previously covered by InfoBytes, the FTChosteda virtual roundtable to hear directly from creators on how generative AI is affecting their work and livelihood given the FTCs interest in understanding how AI tools impact competition and business practices. The report presents a summary of insights gathered during the roundtable and explains the FTCs particular jurisdictional interest in regulating AI. The report explains that the FTC has brought several recent enforcement actions relating to AI and how the use of AI can potentially violate Section 5 of the FTC Act, which prohibits unfair or deceptive acts or practices and unfair methods of competition. Additionally, the report mentioned how President Bidens recent Executive Order on the Safe, Secure and Trustworthy Development and Use of AI (covered by InfoBytes here), encourages the FTC to leverage its existing faculties to protect consumers from harms caused by AI and to ensure competition in the marketplace. The FTCs report explains that it is appropriately taking such actions, both through enforcement actions and by gathering information. The Commission additionally stipulated that training generative AI on protected expression made by a creator without the creators consent or the sale of that generated output could constitute an unfair method of competition or an unfair or deceptive practice. The FTC added that this may be amplified by actions that involve deceiving consumers, improperly using a creators reputation, reducing the value of a creators work, exposing private information, or otherwise causing substantial injury to consumers. The Commission further warned that conduct that may be consistent with other bodies of law nevertheless may violate Section 5.

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China is using AI to ramp up spying, US says – NewsNation Now

Emily Finn and Urja Sinha

19 hours ago

(NewsNation) China is allegedly taking its spying program to the next level by harnessing the power of artificial intelligence, according to a new report from the FBI.

The report indicates that China is planting people inside companies and organizations to gather trade secrets as well as using sophisticated AI technology to harvest significant amounts of personal data from Americans.

U.S. intelligence has linked China to several high-profile data thefts and cyber attacks in recent years, FBI director Christopher Wray said at a press conference in Silicon Valley earlier this year.

Wray met with the leaders of other intelligence agencies around the world in October to discuss the escalation of Chinas AI capabilities, the Wall Street Journal reported.

Earlier this year, Wray said China was working to use AI to improve its already massive hacking operations.

China has denied hacking into and stealing from U.S. systems, but over the summer, a spokesperson for the Chinese foreign ministry called the U.S. the biggest hacking empire and global cyber thief in the world.

While national security officials say theyre concerned about the threat of Chinas AI, they say U.S. technology can be used to detect and deter these attacks.

In recent years, the FBI has focused on protecting the manufacturing of computer chips that are powerful enough to process AI programs, rather than the AI companies themselves, according to the WSJ. So even if hackers were able to steal algorithms, the system could be obsolete within six months.

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What to Expect From ‘Magnificent 7’ in 2024: More Gains From AI, Experts Say – Investopedia

Key Takeaways

The "Magnificent 7" stocks had an exciting 2023, significantly outperforming the major U.S. indexes as several got a boost from developments related to artificial intelligence (AI), but experts suggest many of these market leaders' AI journey has just begun, with more innovation in the AI space expected in 2024.

Coined by Bank of America analyst Michael Hartnett in 2023, the "Magnificent 7" refers to a group of high-performing U.S. stocks including Microsoft (MSFT), Amazon (AMZN), Meta (META), Apple (AAPL), Google parent Alphabet (GOOGL), Nvidia (NVDA), and Tesla (TSLA).

After a dismal 2022 for U.S. equities with the S&P 500 posting its worst performance since the Great Recession, the stock market staged a remarkable recovery in 2023 with the index up over 24% heading into the last trading week of the year, driven by gains made by the Magnificent 7. Since the start of 2023, Nvidia shares have more than tripled in value, while Meta and Tesla more than doubled. In the same period, Amazon gained 80%, while Apple, Alphabet, and Microsoft rose nearly 60%.

The other 493 stocks of the S&P 500, or the "Meager 493" as Mike Dickson, head of research at Horizon Investments, calls them, collectively gained just 7.5% by early December, according to the firm's research. The tech giants overperformance compared to their peers within the index was also largely fueled by the potential of artificial intelligence," Dickson noted.

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Experts anticipate the Magnificent 7 could be poised to see more gains in the new year thanks to the AI boom.

"An unusual feature of generative AI is that, right from the onset of the new technology, many of the same companies are already operating in multiple stages of the value chainfrom cloud to the ownership of large language models (LLMs), to the development of end-user applications," UBS analysts said in a research note.

The Magnificent 7 has "the significant resources needed to build and benefit from complex AI models" and UBS "expect[s] the large players to grow larger still."

Shares of tech giant Microsoft, which gained nearly 60% this year, hit multiple record highs in 2023, in part due to interest surrounding AI.

While Microsoft does offer its own AI tools and hardware, its partnership with ChatGPT maker OpenAI drove significant investor interest as well. Through its multiyear, multibillion-dollar investment to accelerate AI breakthroughs, Microsoft has firmly established itself as a leader in the AI race.

The companys AI advancements and announcements are also unlikely to slow down in 2024, according to analysts, especially with the support of its OpenAI partnership.

Microsoft is essentially the torch bearer of the global AI Revolution, Wedbush analysts said, adding that the firm believe[s] the stock has yet to price in what we view as the next wave of cloud and AI growth coming to Microsoft in 2024. OpenAIs ChatGPT will be the next leg of the growth stool for MSFT and will ultimately spur growth and margins into the 2024 fiscal year.

Shares of Google parent Alphabet have climbed almost 60% in 2023 amid enthusiasm for the company's AI-related advancements, which included the launch of Bard, a chatbot, and Gemini, a large language model (LLM).

Bard was unveiled in February, and though its launch was less than impressive when the chatbot made a factual error during the first public demonstration, Bard has undergone several updates since then that helped make the tool a viable alternative to ChatGPT. In early December, Google introduced Gemini, its own LLM AI model, which reportedly outperformed OpenAIs GPT-4 model.

Google may still be a step behind MSFT/OpenAI, but AI advancements are moving incredibly fast, CFRA analyst Angelo Zino said, adding that the firm think[s] future Gemini upgrades will allow GOOGL to keep up with the competition and be a major AI beneficiary.

Google said it will launch Gemini Ultra, the largest and most capable model for highly complex tasks, after further fine-tuning which will power Bard Advanced in in 2024. J.P. Morgan analysts called Google a new top pick as Gemini tightens the GenAI gap.

AI is more of a 2024 story, CFRA analysts said, noting that the firm like[s] initiatives related to Bard, Gemini, and Search Generative Experience when examining Googles outlook in the new year.

Amazon shares gained more than 80% in 2023, as the e-commerce giant advanced in the AI space.

Amazon notably began offering Bedrock through Amazon Web Services (AWS), the companys cloud computing platform. Bedrock is a fully managed service that makes leading foundation models from AI companies available through an API along with developer tooling to help build and scale generative AI applications, Amazon said. Amazon also introduced Q, a GenAI assistant available through AWS, and its next-generation custom-designed AWS chips, optimized for GenAI, in November.

Similar to Microsoft, Amazon bolstered its AI standing through a multi-billion dollar investment into a company already finding success in the tech. Amazon said the company would invest up to $4 billion in AI firm Anthropic, in a move that could allow the company to better compete with Microsoft-backed ChatGPT and Googles Bard.

When asked about reports that Amazon is working on a large language model (LLM) called Olympus, Adam Selipsky, the CEO of AWS, told AP that they should expect to see multiple iterations of Amazons first-party models. Selipsky also noted that he believes that very rapid evolution and change is coming in 2024 as the tech evolves and businesses optimize its integration.

J.P. Morgan analysts anticipate that growing GenAI contribution could support AWS growth in the new year. Beyond AI projects, Amazon is expected to have a positive 2024 with J.P. Morgan analysts naming it the firms top large-cap pick for the internet sector. JPM analysts projected revenue growth in the new year driven by a reacceleration in Amazons retail and AWS sectors and expanding margins.

Even among the Magnficent 7, Nvidia stands out as a major benefactor of the AI boom in 2023, with the largest share movement compared to others. On multiple occasions during the year, Nvidia shares saw double-digit growth in a single day. On May 25, after the company reported a surging demand for its products and a first-quarter earnings beat, share surged more than 24% from the previous days close.

As companies scramble to build AI models and integrate AI tools, Nvidia chips are used to power much of the technology, with Bank of America analysts writing that the chipmakers dominance in AI training likely represents more than 90% of the market share.

Nvidia announced its most powerful graphics processing unit (GPU), H200, designed to power AI models in November. The new chip is set to be used by Amazon, Google, and Microsoft, among other systems.

Amid some concerns about the impact of U.S. restrictions on AI chip exports to China on Nvidias bottom line, analysts have been steadfast that the chipmakers gains in the AI boom will drive profitability. Nvidia could be the best positioned compared to competitors like Intel (INTC) and Advanced Micro Devices Inc. (AMD) according to Jefferies analysts, who named Nvidia the firms franchise pick.

Despite other chipmakers like AMD and Intel making progress towards claiming a slice of the pie, Nvidia should still end up a winner (if not the winner), Wedbush analysts said.

Meta shares nearly tripled in 2023 as the Facebook parent company joined the AI push.

The company introduced LLaMA, a LLM, in February. Since then Meta has used its AI tech to improve algorithms and advertising systems.

AI is a foundational component of Metas apps and services, enhancing performance, measurement, and campaign setup, the company said in a release. CEO Mark Zuckerberg reported that AI recommendation tools have driven an increase in the time that users spend on Meta platforms.

Metas efforts in AI thus far have been to improve its recommendations/rankings that power its entire ecosystem, but over time, META can monetize AI via its Llama 2, AI agents, and metaverse, CFRA analysts said. The firm is more optimistic about METAs initiatives toward a content-driven discovery platform.

Tesla shares nearly doubled in 2023, and while the electric vehicle pioneer didnt introduce many major AI projects, the company is no stranger to the tech, as Teslas autonomous driving cars rely on AI technology.

CEO Elon Musk has also been vocal about his view that AI is "the most disruptive force in history," even saying there will come a point where no job is needed the AI will be able to do everything.

Musk launched xAI, an AI-focused company, in July. While x.AI is its own separate company, it will work closely with X (formerly Twitter) and Tesla. The company introduced Grok, an AI chatbot, in November, though the product is not yet widely available.

It could be a challenging new year for Tesla, with Bernstein analysts going as far as to say that shorting Tesla could be the best idea for 2024. The firm said it anticipates that the electric vehicle (EV) pioneer could disappoint investors in the new year due to low demand stem[ming] from Tesla's narrow (and expensive) product family which is reaching saturation, and continued competition in the EV space, the analysts said.

Apple may not have released its own AI chatbot yet like some other members of the Magnificent 7, but the tech giant confirmed that it is working with AI tech, and its shares have gained nearly 50% in 2023.

CEO Tim Cook said Apple [will] continue weaving it in our products on a very thoughtful basis in a May earnings call. Apple is also reportedly working on a chatbot that could be released at a later date.

Despite Apples more muted involvement in the AI race, analysts say that the tech giant is poised for a profitable 2024, especially with the iPhone 15 propping up its holiday sales. The coming fiscal year is the golden opportunity for Apple investors, according to Wedbush analysts, who said that as roughly 240 million iPhones in the window of an upgrade opportunity globally now at play for iPhone 15 and Services, which the firm estimated is worth $1.5 trillion to $1.6 trillion on a standalone basis is re-accelerating into 2024.

CorrectionDec. 25, 2023: In a previous version of this article, the surname of CFRA analyst Angelo Zino was misspelled.

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These are the top 10 most popular AI tools of 2023, and how to use them to make more money – CNBC

Writerbuddy analyzed over 3,000 artificial intelligence tools using SEMrush, a popular SEO software, to determine the most used tools of the year. Altogether, the top 50 AI tools attracted over 24 billion visits, most of which came from male users.

Here are the top 10 most popular AI tools, according to the rankings:

Tool category: AI Chatbot

Total visits: 14.6B

Tool category: AI Chatbot

Total visits: 3.8B

Tool category: AI Writing

Total visits: 1.1B

Tool category: Image Generator

Total visits: 500.4M

Tool category: Data Science

Total visits: 316.6M

Tool category: AI Chatbot

Total visits: 241.6M

Tool category: AI Writing

Total visits: 238.7M

Tool Category: Video Generator

Total visits: 203.8M

Tool category: AI Chatbot

Total visits: 192.4M

Tool category: Image Generator

Total visits: 177.2M

ChatGPT has earned some negative press this year from Sam Altman's leadership shakeup to potentially harmful AI developments but people keep using the generative tool. The industry leading bot can carry out an array of tasks, from planning out your weekly schedule to writing you a detailed resume.

Other generative tools on the list, like Google's Bard and Quillbot, have similar capabilities as they can summarize and paraphrase text, but haven't yet garnered the same popularity as Open AI's chatbot. And tools like Character.ai and Novel.ai are used by many as virtual companions.

If you're only using AI for entertainment purposes, you may be missing out on the opportunity to make money without a fancy job or college degree, according to Susan Gonzales, founder and CEO of AIandYou, a nonprofit that teaches AI skills to people from marginalized communities.

Say you're a freelancer or a small business owner. AI tools can "help improve [your] business, improve inventory management, analyze customer behavior or gain competitive intelligence," Gonzales told CNBC Make It in July. "Small businesses can use AI tools to target their marketing and advertising efforts more effectively ... They can identify new revenue opportunities."

And if you're looking for a side gig, like tutoring, AI can help you do that, too.

"There are many online learning opportunities to understand how AI works, which then could help [someone] possibly become an AI tutor, or to do some AI training to pass it on to the next generation," Gonzales said. "The wonderful thing today is all the information is out there."

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Crypto thieves will deploy more convincing AI scams in 2024, firms warn – Cointelegraph

AI-powered phishing scams, BRC-20 exploits, and new smart contract vulnerabilities are among the biggest threats that crypto projects and investors will likely face in 2024, according to blockchain security firms.

While the $1.7 billion in scam and hack-related losses in 2023 stands as an undeniable improvement to the $4 billion lost in 2022 Jesse Leclere, a blockchain analyst from CertiK, warned Cointelegraph that scams are only becoming more advanced and users should remain hyper-vigilant for well-executed exploits.

Phishing, evolving in its sophistication, will likely target not only individual users but also corporate systems [...] using social engineering tactics tailored to the crypto context, said Leclere, pointing to the Dec. 14 Ledger Connect exploit as a prime example of an advanced attack.

One of the key elements that will see phishing scams become more nefarious is the use of generative AI, he added, allowing hackers to automate operations and create convincing fake calls, videos, and messages through which to ensnare potential victims.

Jenny Peng, a research analyst from 0xScope warns that AI could form a key component in generating ever-more realistic deep fakes to fool crypto users.

Peng added that hackers are likely to also give the burgeoning BRC-20 ecosystem extra attention next year due to a relative lack of developments in security.

BRC-20 UniSat wallet launched in early 2023 and was promptly hit with a double-spend exploit. This incident shows that the BRC-20 ecosystem, where everything is new, will need to evolve its infrastructure quickly to be as battle-tested as Ethereums security-wise, she added.

Already one of the most long-standing pain points for the industry, cross-chain bridges will continue to be a concern in 2024, said Leclere.

As the industry increasingly adopts cross-chain solutions for greater interoperability, these protocols will become attractive targets for attackers, exploiting vulnerabilities arising from complex interactions between different protocols and chains, he added.

Many of the crypto sectors largest hacks to date have resulted from bridge exploits with the infamous $650 million Ronin bridge hack still standing as the worst on record. Without some serious security upgrades in the future, Leclere believes this will remain an issue for the industry heading into 2024.

Meanwhile, Phil Larratt, director of investigations at Chainalysis, offered asimilar caution, warning that bad actors will grow increasingly adept at getting away with their ill-gotten gains.

Related: $3M of crypto stolen on Christmas Day MS Drainer scammers fleece victims

In 2024, we can anticipate that illicit actors are going to become more sophisticated in the tactics and techniques they use, especially as more long-standing traditional organized criminals and financial crime actors continue to adopt crypto, he said.

With increasing know-how from security firms and law enforcement, Larratt warned that the next wave of scammers would most likely utilize privacy coins, bridges, mixers, and other obfuscation tools to a greater extent.

In response to this likely trend, we will need more intensive law enforcement investigations, increased training and knowledge sharing by law enforcement organizations, even more advanced fraud protection programs, and continued partnerships between the public and private sectors, he said.

Magazine: DeFis billion-dollar secret: The insiders responsible for hacks

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Know all about Copy.ai, the AI-powered tool for automated content creation and marketing – HT Tech

With 2023 nearing its end, it is safe to say that artificial intelligence (AI) has been the buzzword of the year. Throughout the year, weve not only seen the rise of AI chatbots, but also the integration of AI into legacy applications such as Microsoft Office, and Adobe Photoshop. New AI tools have also surfaced, that make light work of tasks like image generation, and copywriting. One such AI-powered tool that aims to automate your social media content creation and AI marketing is Copy.ai. Know what is it and how it works.

Copy.ai is a generative AI-powered marketing content generation tool that leverages machine learning to generate content. Built on OpenAIs GPT-3 Large Language Model (LLM), it can generate content copies for social media campaigns, email marketing campaigns, blogs, headlines, product descriptions, translations, and more. It is available in 25 languages and features various tools such as Workflows, Workspaces, and plagiarism checker.

Copy.ai is free to use for individual users, meaning you dont have to pay anything to generate content. It can generate up to 2000 words in chat and you also get 200 Bonus credits. It also has a Pro subscription that offers 5 seats, unlimited words in chats, 500 Workflow credits, and up to 5 seats for teams. This subscription costs $49 a month.

The next plan is the Team subscription which features 20 seats, unlimited words in chats, and 3000 Workflow credits, making it perfect for growing teams. It costs $249 a month and is billed monthly. If youre a big team, then theres also a Growth plan offering 75 seats and 20000 Workflow credits. However, if youre a large-scale organization, then the Scale plan is for you, with 200 seats, unlimited words in chats, and 75000 Workflow credits. The Growth and Scale plans cost $1333 and $4000 a month respectively.

Copy.ai offers two main interfaces for generating content - Chat and Workflows. The Chat product is an AI system that interacts with users, answering queries and creating content based on user requests. It is targeted towards individual users and is more user-friendly.

On the other hand, the Workflows interface is aimed at dealing with large-scale tasks. It is capable of automating tasks with the help of an API. It also integrates a method called prompt chaining, which helps in creating more complex content.

Another feature of Copy.ai is called Chat. Using AI, it can search the web for you, and read LinkedIn profiles and websites. It can even go through YouTube videos! You can use it to write content as well as ask it to edit and rewrite content, helping you get work done faster. This tool costs $49 a month and you get 5 seats.

Like Grammarly, Copy.ai also includes a built-in plagiarism checker. Moreover, the additional can help you save information for future uses. It also features 90+ templates for content generation including blog intro, blog outline, social media bio, discounts or special promotions, testimonials, and Instagram captions.

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OpenAI investor says AI will hugely deflate the economy – Business Insider

Angle down icon An icon in the shape of an angle pointing down. Vinod Khosla, 68, was an early backer of OpenAI. In 2019, his VC firm invested $50 million into OpenAI. Patrick T. Fallon/AFP via Getty Images

The billionaire and early OpenAI backer Vinod Khosla says he expects AI to fundamentally change the global economy.

"AI should be hugely deflationary over twenty five years," Khosla wrote on X on Monday.

His outlook is a stark departure from what markets and the economy have been dealing with for the better part of two years. Inflationary pressures have continued even as price growth has come down from multidecade highs.

In a deflationary environment, prices fall, leading to lower profitability for companies and stagnant or even shrinking economic growth.

But Khosla predicted that AI's impact would make traditional measures of economic health less relevant.

"Capital should be scarce for a while, current measures of GDP and the economy will be less relevant but goods and services should be in great abundance," he said. "The key question is what are the right measures and the right questions."

Khosla's venture-capital firm invested $50 million into OpenAI in 2019, the largest investment in the firm's 15-year history.

The 68-year-old investor has often expounded on the opportunities and risks of AI. On December 12, Khosla told attendees of Fortune's Brainstorm AI conference that AI wasn't the world's great threat.

"The doomers are focusing on the wrong risks," Khosla said, adding, "By far, orders of magnitude, higher risk to worry about, is China, not sentient AI killing us off."

Khosla isn't alone in forecasting dramatic economic effects of AI.

When Elon Musk unveiled Tesla's AI robot last year, he predicted the economy could become "quasi-infinite" if the robots were capable of manual labor.

"This means a future of abundance," Musk said. "A future where there is no poverty, where you could have whatever you want in terms of products and services."

He added, "It really is a fundamental transformation of civilization as we know it."

Representatives for Khosla did not immediately respond to a request for comment from Business Insider sent outside regular business hours.

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Copilot vs ChatGPT: Which free Android AI chatbot app should you use? – The Indian Express

Microsoft was quick on the draw to enter the AI chatbot race, launching Bing Chat back in February in hopes of driving some growth for their underdog search engine. Unfortunately, their strategy didnt seem to move the needle, with Bings growth mostly staying flat throughout the year. Now it looks like the Redmond giant is trying something new.

Bing Chat got a rebrand to Copilot and has been integrated into a bunch of Microsoft products including Edge and Windows 11. But mobile was an afterthought, with no direct way to access Copilot you had to download Edge or the Bing app. As a frequent Copilot user (its basically free GPT-4!), I always thought it would be really slick to have a dedicated app so I dont have to launch Edge every time. Well ask and ye shall receive the Copilot app is finally here on Android.

If youve already used Copilot in its web form, its mobile app will feel instantly familiar. You get the same messaging-style interface with sample prompts to get started with. But where it really shines is that everything seems to work more smoothly and responsively compared to Copilot web integrations like the one in Edge or Bing search. Actions like clearing the chat history to start afresh are lightning-quick, and the overall experience is very polished. Beyond the slick interface, the app delivers all the core capabilities youd expect, like drafting emails, documents, and even AI-generated images through Dall-E 3 integration.

With over 10 million downloads, the ChatGPT app is arguably Copilots biggest rival, even though their makers are more allies than competitors. ChatGPTs main advantage today is speed responses are typically instant, regardless of length or complexity. Meanwhile, Copilot can feel sluggish, taking time to digest prompts and search for additional context before formulating a reply. When it does produce output, its delivered line-by-line over several seconds.

Theres also a 4,000-character limit on Copilot, rendering the quick digestion of large documents tricky unless you split them into smaller chunks. On ChatGPT, the cap is way higher. ChatGPT recently also gained a nifty voice chat feature which has been designed such that it feels like youre talking to a real human on call no exaggeration.

Meanwhile, Copilot has the less fancy voice input mode you tap the mic and turn speech into text, then get a robotic voice read out the AIs response.

If ChatGPT is so awesome, why bother switching to Copilot at all? The biggest perk is the free web access and GPT-4. GPT-4 is a major step up from GPT-3.5 and just produces far more nuanced and accurate responses. Its also less likely to hallucinate. Overall, I found Copilots answers a lot easier to trust.

Then theres the fact Copilot can use the whole internet, meaning you can ask about current events. For example, if you ask the free ChatGPT Whats the most powerful iPhone?, itll probably say the iPhone 13 Pro Max from 2021. But Copilot gets it right iPhone 15 Pro Max, itll say. Likewise, prompts like Whats todays news? and Show me the cheapest flights from Delhi to Mumbai are actually useful, unlike on the free ChatGPT app. Sure, you can buy ChatGPT Plus, but at almost Rs 2,000 a month, it isnt exactly cheap.

Copilot also lets you generate images straight from the chat, which you cant do at all with the free ChatGPT. And finally, Copilot lets you adjust the tone of the responses between Creative, Balanced, and Precise for more granular control.

So in a nutshell: Think of Copilot as the poor mans ChatGPT Plus. ChatGPT Plus is still the best for power users, but if you dont wish to pay and are okay with Copilots slower speeds, youll be just fine with swapping ChatGPT for Copilot on your home screen like I did.

IE Online Media Services Pvt Ltd

Zohaib is a tech enthusiast and a journalist who covers the latest trends and innovations at The Indian Express's Tech Desk. A graduate in Computer Applications, he firmly believes that technology exists to serve us and not the other way around. He is fascinated by artificial intelligence and all kinds of gizmos, and enjoys writing about how they impact our lives and society. After a day's work, he winds down by putting on the latest sci-fi flick. Experience: 3 years Education: Bachelor in Computer Applications Previous experience: Android Police, Gizmochina Social: Instagram, Twitter, LinkedIn ... Read More

First uploaded on: 27-12-2023 at 14:14 IST

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Copilot vs ChatGPT: Which free Android AI chatbot app should you use? - The Indian Express

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The AI Shopping Spree Is Taking Off. Meet 11 Bankers Poised to Come Out on Top. – Business Insider

When the telecom giant Cisco agreed to fork over $28 billion for a small data-analytics company called Splunk in September, it was a ray of light in an otherwise gloomy M&A, or mergers-and-acquisitions, market.

M&A declined in 2023 for the second year in a row as the economy grappled with a higher cost of borrowing and changing consumer behavior. But Cisco's deal to buy Splunk was among the largest acquisitions of 2023 and the largest acquisition in the AI space in at least three years. It helped push the number of AI deals into record territory, S&P Global Market Intelligence said.

With ChatGPT and Sam Altman becoming household names, some on Wall Street are now betting that the Cisco-Splunk deal is just the tip of the iceberg. They see corporate America's obsession with artificial intelligence kicking off a new era of mergers, acquisitions, and IPOs for years to come.

Neil Kell, the head of one of Bank of America's tech-banking groups, explained it this way: AI has been "an exciting, intellectual exercise over the last couple of years." But given how much AI has matured in recent years, the industry is "transitioning into a phase of action," he said.

Wall Street's AI predictions are so big that some banks, including Citi, have created new roles to accommodate the sector. In September, three Qatalyst alumni launched Axom Partners, an M&A-advisory firm focused specifically on AI-related dealmaking.

Some bankers predict that generative AI when the machines are trained to produce original content may soon become one of Wall Street's biggest revenue drivers because it touches so many different industries, from healthcare to manufacturing and advertising.

As of the end of November 2023, machine-learning deals drove some $69 billion in M&A, accounting for a record 27% of tech deals by value, according to S&P Global Market Intelligence. The financial-research firm counted deals that sit squarely in the AI sector, such as the Cisco-Splunk deal, and deals involving targets with AI capabilities, such as IBM's $4.6 billion acquisition of the business-management-software maker Apptio.

"There are very few spaces we can point to in tech where deal flow isn't being driven, in some capacity, by the need to incorporate AI or facilitate it," Melissa Incera, an M&A analyst with S&P Global Market Intelligence, said.

Of course, several things will need to fall into place for Wall Street to benefit from the AI-driven "super cycle" many bankers predict. AI companies, many of which are only now being formed, need to mature, and the winners and losers need to come into focus. Many buyers also need to figure out how to monetize AI. But some bankers believe AI will check these boxes quicker than in previous tech-driven deal cycles.

Given AI's potential to change our economy, Business Insider set out to find the bankers best positioned to lead the pack when the AI-deals boom is unleashed.

Our list focuses on bankers with deep experience in tech and AI, from M&A advisors to equity-capital fundraisers to chairs of massive tech teams and founders of banks.

We also did our best to capture their predictions of the upcoming AI revolution. Some bankers see AI as the next "iPhone moment" and say it could result in a dealmaking surge as soon as next year. Others see a longer runway. But everyone agrees it presents one of the most pressing threats and opportunities for businesses today.

"Even now, there isn't a deal anyone is working on where 'what is your gen AI strategy?' isn't the No. 1, two, and three questions. It's the fastest-moving technology we've ever seen, and that's going to continue to be the case," Rob Chisholm, an analyst at Qatalyst Partners, said.

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The AI Shopping Spree Is Taking Off. Meet 11 Bankers Poised to Come Out on Top. - Business Insider

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