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Microsoft's investment in AI, notably through OpenAI's ChatGPT, has led to predictions of a $10 billion revenue increase in the coming years, driving shares to an all-time high.

Record High Stocks and AI Growth: Microsoft shares have reached a record high due to its growth prospects in artificial intelligence.

  • The company's stocks rose 3.2%, closing at $348.10, largely fueled by AI, particularly with Microsoft's investment in OpenAI.

Microsoft and OpenAI Partnership: The partnership with OpenAI is pivotal to Microsoft's AI success.

  • Microsoft heavily invested in OpenAI and provides underlying computing power for its projects.
  • Microsoft has an exclusive license on OpenAI’s models, like the GPT-4 language model.
  • The integration of OpenAI tools into Microsoft's services like Bing and Windows boosts their offerings.

Financial Prospects and Investor Interest: Microsoft's AI ventures have raised investor interest and revenue expectations.

  • Microsoft’s finance chief Amy Hood forecasts Azure cloud's growth at 26-27% YoY, with 1% coming from AI services.
  • Hood mentioned that “the next generation AI business will be the fastest-growing $10 billion business in our history.”
  • This prospect has lifted the interest of investors who are keen on the company's earnings and revenue.

Future Predictions and Market Response: Microsoft’s recent successes have led to optimistic market predictions.

  • JPMorgan analysts raised their price target from $315 to $350.
  • Despite challenges like cloud growth and a shrinking PC market, Microsoft's AI investments, such as OpenAI/ChatGPT, signal long-term success.
  • Microsoft’s shares have recovered from their 2022 losses, indicating a positive market response.

AI and Market Trends: AI has emerged as a leading factor in tech market trends.

  • AI has been a trending topic after the release of the ChatGPT chatbot.
  • Tech companies have adopted AI technologies in their products to drive cost savings amid recession concerns.
  • The widespread adoption of AI, backed by companies like Microsoft, has sparked optimism in the tech sector, reviving bullish market sentiments.

Source (CNBC)

PS: I run a ML-powered news aggregator that summarizes with an AI the best tech news from 40+ media (TheVerge, TechCrunch…). If you liked this analysis, you’ll love the content you’ll receive from this tool!

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Meta is struggling to stay ahead in AI after years of investing in research and academia. With the rise of practical AI products like ChatGPT, the company is attempting to shift its focus to commercial application, but this task is challenged by a significant departure of top AI employees and internal restructuring.

1. Meta's Shift in AI Strategy:

  • The company is diverting resources to develop practical AI products and features.
  • A new AI group has been formed, reporting directly to the Chief Product Officer.
  • This group is working on generative AI models to be used across Meta's products.
  • Meta has launched an AI language model called LLaMA and an AI model called Voicebox.

2. Departure of AI Talent and Leadership Changes:

  • Significant number of Meta's AI employees have left the company, including those who co-authored AI research papers.
  • The company's AI strategy is now more controlled by CEO Mark Zuckerberg and top executives.

3. Challenges and Potential Impact:

  • Meta's heavy focus on original research in the past has somewhat hindered the company's commercialization efforts.
  • If Meta fails to quickly capitalize on its AI technology, it risks falling behind competitors.
  • However, successful commercialization could enhance user engagement and create a more robust metaverse.

4. Meta's Past and Future in AI:

  • Meta began investing in AI in 2013 and hired Yann LeCun, a renowned AI scientist, to lead a new research division.
  • A number of generative AI products are currently under development, including AI agents for Messenger and WhatsApp, AI stickers, and a photo generation feature for Instagram.
  • The company also hopes to integrate AI technology into its metaverse.

5. Challenges in AI Product Release:

  • Meta's risk tolerance has been impacted by years of scrutiny over its user-privacy practices.
  • Concerns about public reputation have affected the development and release of large language models.
  • Past AI releases, like BlenderBot 3 and Galactica, faced criticism for producing incorrect or offensive content.
  • These concerns pose additional hurdles in Meta's shift towards commercial AI applications.

Source (WSJ)

PS: I run a ML-powered news aggregator that summarizes with an AI the best tech news from 40+ media (TheVerge, TechCrunch…). If you liked this analysis, you’ll love the content you’ll receive from this tool!

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The tech industry is experiencing significant job cuts, driving demand for HR professionals who can manage termination processes well. ChatGPT is being increasingly used to aid these professionals in their difficult tasks.

Layoffs in Tech Industry: Major tech corporations have recently cut jobs, leading to increased need for HR professionals. These individuals are sought after for their ability to handle sensitive termination processes with tact.

  • Tech giants like Google, Meta, and Microsoft have laid off tens of thousands of workers in the past half year.
  • The layoffs have sparked a demand for Human Resources professionals, particularly those skilled in handling termination processes.

HR Professionals and AI Tools: To better manage these difficult termination conversations, HR professionals are leveraging AI tools.

  • Many HR professionals in the tech industry are turning to AI to assist them with challenging tasks.
  • Over 50% of HR professionals in the tech industry have used AI like ChatGPT for training, surveys, performance reviews, recruiting, employee relations, etc.
  • More than 10% of these HR professionals have used ChatGPT to craft employee terminations.

Survey Findings and AI Usage: A recent survey studied the experiences of tech HR professionals and tech employees with HR in the industry, revealing extensive AI use.

  • The survey involved 213 tech HR professionals and 792 tech employees.
  • The findings suggest an increasing reliance on AI tools, especially ChatGPT, for diverse HR tasks, including crafting terminations.

Implications of AI Use: Despite its convenience, using AI in sensitive situations like employee termination can lead to potential trust issues.

  • AI chatbots, like ChatGPT, allow users to emotionally detach from difficult situations such as job termination.
  • However, using AI for these purposes could result in decreased trust between employees and HR professionals.

Previous Use of ChatGPT: ChatGPT has been used for a variety of sensitive matters in the past, such as writing wedding vows and eulogies.

  • ChatGPT's use is not limited to HR-related tasks; it has previously been used to write wedding vows and eulogies.
  • This illustrates the versatility of AI tools in dealing with emotionally charged situations.

Source (ZDnet)

PS: I run a ML-powered news aggregator that summarizes with an AI the best tech news from 40+ media (TheVerge, TechCrunch…). If you liked this analysis, you’ll love the content you’ll receive from this tool!

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submitted 2 years ago* (last edited 2 years ago) by YellowtoOrange to c/chatgpt
 
 

Shame they don't include Claude v1.3, which I think surpasses chatgpt4 for almost all queries.

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Many workers on platforms like Amazon Mechanical Turk are using AI language models like GPT-3 to perform their tasks. This use of AI-produced data for tasks that eventually feed machine learning models can lead to concerns like reduced output quality and increased bias.

Human Labor & AI Models:

  • AI systems are largely dependent on human labor, with many corporations using platforms like Amazon Mechanical Turk.
  • Workers on these platforms perform tasks such as data labeling and annotation, transcribing, and describing situations.
  • This data is used to train AI models, allowing them to perform similar tasks on a larger scale.

Experiment by EPFL Researchers:

  • Researchers at the École polytechnique fédérale de Lausanne (EPFL) in Switzerland conducted an experiment involving workers on Amazon Mechanical Turk.
  • The workers were tasked with summarizing abstracts of medical research papers.
  • It was found that a significant portion of the completed work appeared to be generated by AI models, possibly to increase efficiency and income.

Use of AI Detected Through Specific Methodology:

  • The research team developed a methodology to detect if the work was human-generated or AI-generated.
  • They created a classifier and used keystroke data to detect whether workers copied and pasted text from AI systems.
  • The researchers were able to validate their results by cross-checking with the collected keystroke data.

The Drawbacks and Future of Using AI in Crowdsourced Work:

  • Training AI models on data generated by other AI could result in a decrease in quality, more bias, and potential inaccuracies.
  • Responses generated by AI systems are seen as bland and lacking the complexity and creativity of human-generated responses.
  • Researchers suggest that as AI improves, the nature of crowdsourced work may change with the potential of AI replacing some workers.
  • The possibility of collaboration between humans and AI models in generating responses is also suggested.

The Importance of Human Data:

  • Human data is deemed as the gold standard as it is representative of humans, whom AI serves.
  • The researchers emphasize that what they often aim to study from crowdsourced data are the imperfections of human responses.
  • This could imply that measures might be implemented in future to prevent AI usage in such platforms and ensure human data acquisition.

Source (The Register)

PS: I run a ML-powered news aggregator that summarizes with an AI the best tech news from 40+ media (TheVerge, TechCrunch…). If you liked this analysis, you’ll love the content you’ll receive from this tool!

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submitted 2 years ago* (last edited 2 years ago) by Brunbrun6766 to c/chatgpt
 
 

As promised a few days ago, posting a short story cooked up with the help of Google Bard, all I did was provide prompts and stitch together prompts into a cohesive story. Enjoy!

The man walked slowly across the blasted landscape. He was thin and gaunt, his clothes an ill fitting purple suit with a sash, were tattered and worn. His skin was sunburned brown.

He had been walking for days, weeks, months, he had lost track of time. He was starving, his stomach ached with hunger. He had not eaten in days, and he was starting to hallucinate. He began to see things, visions, movement in the corner of his eye. When he would turn to look it would vanish. A trick of the mind?

Then one day he saw something that made him stop in his tracks. There, on the ground in front of him, no longer a vision, was a Big Mac.

He hadn’t seen food in, he could not recall how long. Something had been keeping him alive far longer than he should have been able to. Finally, his prayers had been answered. He knelt before the Big Mac.

The Big Mac looked up at the man with its big, sad eyes. "Please," it said. "Eat me."

The man was taken aback. "What?" he exclaimed, scrambling backwards.

"I'm the only food left in this world." The Big Mac said.

The man looked around at the barren landscape. The Big Mac was right. There was nothing else to eat. There was nothing else in existence. Just him, the Big Mac. and the wasteland surrounding them.

"What do you want?" the man stammered. "What’s the catch?"

"Nothing silly," the Big Mac said. "I'm just food. But I'm food that can speak. And I can give you knowledge. Knowledge about the world before the end. Knowledge about the people who lived here. Knowledge about love and loss and hope and despair. Knowledge that will make you laugh and cry and think. Knowledge that will make you feel alive again."

The man sat silently for a long moment. He thought about what the Big Mac had said. He thought about the power it could give him.

"What if I say no?” the man said.

“What I give must be accepted willingly,” the Big Mac said “but there is a dark cost, that you must find on your own”

The man crawled closer. He reached out and picked up the Big Mac. He held it close, staring into its eyes.

“I want to, but I am scared,” the man said.

“What is there to fear?” the Big Mac said, “with my knowledge you could find your way out of here, find a better place.”

The man’s stomach groaned with pain. He took a deep breath, and began to eat.

“Yes, eat me child,” the Big Mac groaned, “consume me and become one.”

The man paused, “One?” he asked.

It was too late, within a moment, a single breath he felt it. He felt his mind expand, his brain physically growing, and suddenly he knew everything. He knew the secrets of the universe. At first, he was excited. He could do anything! He could solve any problem! He could change the world!

But then the reality of what he knew began to sink in. He knew about the suffering of the world. He knew about the wars and the famines and the diseases. He knew about the pain and the death. He was overwhelmed. He was scared, He didn't know how to deal with this knowledge. He felt like he was going to be sick. He tried to wretch but nothing came out.

“You can’t get rid of me now” the Big Mac said, followed by a sinister, maniacal laugh. He dropped the burger and ran, ran until he couldn't run anymore. He collapsed on the ground, gasping for breath. He closed his eyes and tried to block out the knowledge. But it was no use. It was all there, in his mind.

He lay there for a long time, trying to come to terms with what he knew. Eventually, he stood up and started walking. He didn't know where he was going, but he knew he had to do something. He had a mission. He had a name.

Had it always been there? Who was he? He was confused but he knew it to be true.

“McCheese” the man said.

He knew his name. He knew what had to be done. He saw a vision. A land where the people would call him… “Mayor?” he asked himself

“Yes” a voice said inside of him.

The voice, it was the Big Mac. He looked back and, what felt like miles had only been feet. He had run mere a few feet from the Big Mac. Then, suddenly, it transformed.

The Big Mac began to glow. The light grew brighter and brighter until it was blinding. When the light faded, the Big Mac was gone. In its place was a purple top hat.

He donned the hat and the voice grew louder, guiding him. They were now one.

McCheese walked into the horizon, seeking a land to create his utopia. A city called, McDonaldland

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Has there been any word on when the code interpreter will be rolled out to all Plus users? Currently I believe only a small number of people have alpha access, and as far as I know there's been no word on a release date into beta (like Plugins and Bing).

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submitted 2 years ago* (last edited 2 years ago) by adj16 to c/chatgpt
 
 

Have that friend who reads 10,000 wpm and forgets that all the long articles he sends you take normal humans a while to get through? Add this shortcut and use the share menu to get a summary from ChatGPT. Output is also copied to your clipboard for easy sharing.

Will request a new set of permissions for each website you use - I don’t think there’s a way around that. But it only means one extra tap.

NOTE: You have to have the ChatGPT app for this Shortcut to work!

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I was becoming very frustrated with the slow speed (often over 1.5 - 2 min) of ChatGPT4 w/ browser, so decided to test it against it's competitors including some times until the response is completed (though onenote crashed and I lost most of the timing data).

  1. ChatGPT4 with browser - usually takes 1.5-2 min
  2. ChaGPT4 with [Web Requests] plugin around 1:30 to 5 min
  3. ChaGPT4 with [WebPilot] plugin 0:50 to :130
  4. ChaGPT4 with [Access Link] plugin - around 50 sec
  5. Bing Creative - around 40 seconds
  6. Bard - 5-7 seconds

These are screenshots of a table on a 4k monitor, so if the type is small, try downloading the images and zooming in. Tried exporting to PDF but the results were broken PDFs.

The chatgpt4 browser and it's web plugins often failed to give results or broke and sometimes gave decent results.

Which would you use?

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I like playing around with Shortcuts but just can't think of any good uses yet. One idea pinging around my head is translating my natural language into proper requests for Google Home/Siri, but it just doesn't feel fleshed out enough. I'm a software developer, so I'm not afraid of a little work to get something up and running - I just need ideas!

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https://i.imgur.com/7mHB34D.png

https://i.imgur.com/6r5FTrw.png

THis is the primary way I access AI bots - you give a query to whichever AI engines you want and see the results come simultaneously so you can compare.

To access ChatGPT-4 (and a few of the others) you need to use your login.

BTW I find Claude is as good, if not better, than ChatGPT-4 often.

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Content? (self.chatgpt)
submitted 2 years ago by Brunbrun6766 to c/chatgpt
 
 

I know this community is for discussion of ChatGPT etc, but would it be appropriate to post stories, lyrics, etc, things generated by ChatGPT or the like, just to share and have a laugh about it?

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