Media Search:



The Top Social Media Marketing Agencies In March, According To … – Benzinga

Over 90% of US marketers in firms with more than 100 employees leveraged social media marketing in 2022. DesignRush listed the top social media marketing agencies that help businesses connect with customers on social channels.

MIAMI, March 24, 2023 /PRNewswire-PRWeb/ -- According to Statista, 92.1% of US marketers in companies with 100+ employees leveraged social media for marketing purposes in 2022. It suggests that social media is a powerful tool to use for connecting businesses with potential clients.

DesignRush, a B2B marketplace connecting businesses with agencies, identified the leading social media marketing agencies that help organizations leverage the potential of social media to grow brand awareness and drive user engagement.

The top social media marketing agencies in March are:

1. The Meaningful Social Club - meaningfulsocialclub.com Expertise: Social Media Management, Social Media Content Creation, Strategy & Consulting and more

2. Just Get Known - justgetknown.com Expertise: Content Creation, Social Media Marketing, Email Marketing and more

3. Nvent Marketing - nventmarketing.com Expertise: Social Media Management, PPC Management, Video Marketing and more

4. Newman Web Solutions - newmanwebsolutions.com Expertise: Advertising, Social Media Marketing, Google Analytics Consulting and more

5. Digital 5M - digital5m.com Expertise: Email Marketing, Social Media Marketing, PPC Management and more

6. Unstoppable Start Studios - unstoppablestart.com Expertise: Social Media Marketing, Video Marketing, Branding and more

7. Winning Web Works - winningwebworks.com Expertise: Web Design, Content Editing, Social Media Management and more

8. Chronos Agency - chronos.agency Expertise: Email Marketing, SMS Marketing, Social Media Management and more

9. Beach Chair Marketing - beachchairmarketing.ca Expertise: Social Media Management, LinkedIn Outreach, Web Design and more

10. Irving Torres - irvingtorres.com Expertise: Digital Advertising, Social Media Management, Content Marketing and more

11. MDZN Studio - mdznstudio.com Expertise: Social Media Management, Influencer Management, Digital Advertising and more

12. Scorch - scorchagency.com Expertise: Content Marketing, Media Planning and Purchasing, Social Media Marketing and more

13. 10Plus Brand - 10plusbrand.com Expertise: Social Media & Influencer Marketing, Content Writing, Video Production and more

14. Webvendere - webvendere.com Expertise: Social Media Marketing, PPC Management, SEO and more

15. Digital Media Ninja - digitalmedianinja.com Expertise: Influencer Marketing, Social Media Marketing, Reputation Management and more

16. Odondo - odondo.co Expertise: Social Media Management, Help Desk Support, Data Processing and more

17. Standard American Web - standardamericanweb-atlanta.com Expertise: Graphic Design, Social Media Marketing, Email Campaign Management and more

18. Haywire Marketing - haywiremarketing.net Expertise: Facebook Advertising, Social Advertising, Google Advertising and more

19. Joseph Studios - josephstudios.net Expertise: Social Media Management, Content Marketing, Public Relations and more

20. Digital Experts USA - digitalexpertsusa.com Expertise: eCommerce Marketing, Online Reputation Management, Social Media Marketing and more

21. Venus Digital Media - venusdigitalmedia.co.uk Expertise: Social Media Management, Web Design, Brand Design and more

22. DEGOM Marketing - degomglobalmarketing.com Expertise: Social Media Marketing, Cold Calling, Lead Generation and more

23. Kelooj - kelooj.com Expertise: Market & Brand Analysis, Branding, Social Media Management and more

24. Mike Hamm Communications - mikehammcommunications.com Expertise: Social Media Management, Advertising Design & Deployment, Branding and more

25. Industrie-Contact AG - publicrelations-germany.com Expertise: Online PR, Influencer Marketing, Social Media Marketing and more

26. Espresso B2B Marketing - espressob2b.com Expertise: Lead Generation, Social Media Marketing, Digital Advertising and more

27. Centaur Interactive - centaurinteractive.com Expertise: Digital Marketing, SEO, PPC Management and more

28. Apex Marketing Team - reachingapex.com Expertise: Social Media Strategy, Video Marketing, Event Marketing and more

29. The Digital Cauldron - thedigitalcauldron.com Expertise: Influencer Marketing, Social Media Marketing, Content Marketing and more

Brands can explore the top social media marketing agencies by location, size, average hourly rate and portfolio on DesignRush.

About DesignRush:

DesignRush.com is a B2B marketplace connecting businesses with agencies through expert reviews and agency ranking lists, awards, knowledge resources and personalized agency recommendations for vetted projects.

Media Contact

Maja Skokleska, DesignRush, 8008565417, maja@designrush.com

Twitter

SOURCE DesignRush

More:
The Top Social Media Marketing Agencies In March, According To ... - Benzinga

Aide to Senator Rand Paul critically wounded in Washington DC stabbing – The Guardian US

Washington DC

Suspect in custody after member of Republicans staff attacked in apparently random incident

Tue 28 Mar 2023 08.58 EDT

A member of Senator Rand Pauls staff was stabbed and critically wounded in Washington on Saturday in an attack that is likely to raise fears about violence in the nations capital.

This past weekend a member of my staff was brutally attacked in broad daylight in Washington DC, the Kentucky senator said in a statement to ABC News late Monday. I ask you to join [wife] Kelley and me in praying for a speedy and complete recovery, and thanking the first responders, hospital staff, and police for their diligent actions after the stabbing.

According to a police report obtained by the outlet, officers responded at about 5.15pm to a call about a stabbing fewer than two miles north-east of the US Capitol.

The victim, who has not been named, was treated on the scene for stab wounds and was seen by a witness bleeding from the head, and was later hospitalized for treatment of life-threatening injuries, the report states.

A suspect is reported to have been taken into custody and is being held without bail.

On Monday, DC police said that 42-year-old local resident Glynn Neal was arrested in connection with the attack on counts of assault with intent to kill and wielding a knife. Neal reportedly told police officers a voice had threatened to get him before the attack occurred.

According to one of two witnesses cited in the police report, the suspect had popped out of the corner and stabbed the Paul staffer multiple times.

The victim was able to grab [the suspects] arms and the witness with him tackled the suspect, leading to a struggle between the parties. The victim and the witness ran as the suspect fled, the report added.

We are relieved to hear the suspect has been arrested, Pauls statement said. At this time we would ask for privacy so everyone can focus on healing and recovery.

{{topLeft}}

{{bottomLeft}}

{{topRight}}

{{bottomRight}}

{{.}}

Read the original post:
Aide to Senator Rand Paul critically wounded in Washington DC stabbing - The Guardian US

Everything to Know About Artificial Intelligence, or AI – The New York Times

Welcome to On Tech: A.I., a pop-up newsletter that will teach you about artificial intelligence, especially the new breed of chatbots like ChatGPT all in only five days.

Well tackle some of the big themes and questions around A.I. By the end of the week, youll know enough to command the room at a dinner party, or impress your co-workers.

Every day, well give you a quiz and a homework assignment. (A pro tip: Ask the chatbots themselves about how they work, or about concepts you dont understand. Answering such questions is one of their most useful skills. But keep in mind that they sometimes get things wrong.)

Lets start at the beginning.

The term artificial intelligence gets tossed around a lot to describe robots, self-driving cars, facial recognition technology and almost anything else that seems vaguely futuristic.

A group of academics coined the term in the late 1950s as they set out to build a machine that could do anything the human brain could do skills like reasoning, problem-solving, learning new tasks and communicating using natural language.

Progress was relatively slow until around 2012,when a single idea shifted the entire field.

It was called a neural network. That may sound like a computerized brain, but, really, its a mathematical system that learns skills by finding statistical patterns in enormous amounts of data. By analyzing thousands of cat photos, for instance, it can learn to recognize a cat. Neural networks enable Siri and Alexa to understand what youre saying, identify people and objects in Google Photos and instantly translate dozens of languages.

A New Generation of Chatbots

A brave new world. A new crop of chatbotspowered by artificial intelligence has ignited a scramble to determine whether the technology could upend the economics of the internet, turning todays powerhouses into has-beens and creating the industrys next giants. Here are the bots to know:

ChatGPT. ChatGPT, the artificial intelligence language model from a research lab, OpenAI, has been making headlines since November for its ability to respond to complex questions, write poetry, generate code, plan vacationsand translate languages. GPT-4, the latest version introduced in mid-March, can even respond to images(and ace the Uniform Bar Exam).

Bing. Two months after ChatGPTs debut, Microsoft, OpenAIs primary investor and partner, added a similar chatbot, capable of having open-ended text conversations on virtually any topic, to its Bing internet search engine. But it was the bots occasionally inaccurate, misleading and weird responsesthat drew much of the attention after its release.

Ernie. The search giant Baidu unveiled Chinas first major rival to ChatGPT in March. The debut of Ernie, short for Enhanced Representation through Knowledge Integration, turned out to be a flopafter a promised live demonstration of the bot was revealed to have been recorded.

The next big change: large language models. Around 2018, companies like Google, Microsoft and OpenAI began building neural networks that were trained on vast amounts of text from the internet, including Wikipedia articles, digital books and academic papers.

Somewhat to the experts surprise, these systems learned to write unique prose and computer code and carry on sophisticated conversations. This is sometimes called generative A.I. (More on that later this week.)

The result: ChatGPT and other chatbotsare now poised to change our everyday lives in dramatic ways. Over the next four days, we will explain the technology behind these bots, help you understand their abilities and limitations, and where they are headed in the years to come.

Tuesday: How do chatbots work?

Wednesday: How can they go wrong?

Thursday: How can you use them right now?

Friday: Where are they headed?

Youve got some homework to do! One of the best ways to understand A.I. is to use it yourself.

The first step is to sign up for these chatbots. Bing and Bard chatbots are being rolled out slowly, and you may need to get on their waiting lists for access. ChatGPT currently has no waiting list, but requires setting up a free account.

Once youre ready, just type your words (known as a prompt) into the text box, and the chatbot will reply. You may want to play around with different prompts and see if you get a different response.

Todays assignment: Ask ChatGPT or one of its competitors to write a cover letter for your dream job like, say, a NASA astronaut.

We want to see the results! Share it as a comment and see what other people have submitted.

Weve been covering developments in artificial intelligence for a long time, and we've both written recent books on the subject. But this moment feels distinctly different from whats come before. We recently chatted on Slack with our editor, Adam Pasick, about how were each approaching this unique point in time.

Cade:The technologies driving the new wave of chatbots have been percolating for years. But the release ofChatGPT really opened peoples eyes. It set off a new arms race across Silicon Valley. Tech giants like Google and Meta had been reluctant to release this technology, but now theyre racing to compete with OpenAI.

Kevin:Yeah, its crazy out there I feel like Ive got vertigo. Theres a natural inclination to be skeptical of tech trends. Wasnt crypto supposed to change everything? Werent we all just talking about the metaverse? But it feels different with A.I., in part because millions of users are already experiencing the benefits. Ive interviewed teachers, filmmakers and engineers who are using tools like ChatGPT every day. And it came out only four months ago!

Adam: How do you balance the excitement out there with caution about where this could go?

Cade:A.I. is not as powerful as it might seem. If you take a step back, you realize that these systems cant duplicate our common sense or reasoning in full. Remember the hype around self-driving cars: Were those cars impressive? Yes, remarkably so. Were they ready to replace human drivers? Not by a long shot.

Kevin:I suspect that tools like ChatGPT are actually more powerful than they seem. We havent yet discovered everything they can do. And, at the risk of getting too existential, Im not sure these models work so differently than our brains. Isnt a lot of human reasoning just recognizing patterns and predicting what comes next?

Cade:These systems mimic humans in some ways but not in others. They exhibit what we can rightly call intelligence. But as OpenAIs chief executive told me, this is an alien intelligence. So, yes, they will do things that surprise us. But they can also fool us into thinking they are more like us than they really are. They are both powerful and flawed.

Kevin: Sounds like some humans I know!

Question 1 of 3

Start the quiz by choosing your answer.

Neural network: A mathematical system, modeled on the human brain, that learns skills by finding statistical patterns in data. It consists of layers of artificial neurons: The first layer receives the input data, and the last layer outputs the results. Even the experts who create neural networks dont always understand what happens in between.

Large language model: A type of neural network that learns skills including generating prose, conducting conversations and writing computer code by analyzing vast amounts of text from across the internet. The basic function is to predict the next word in a sequence, but these models have surprised experts by learning new abilities.

Generative A.I.: Technology that creates content including text, images, video and computer code by identifying patterns in large quantities of training data, and then creating new, original material that has similar characteristics. Examples include ChatGPTfor text and DALL-E and Midjourney for images.

Click here for more glossary terms.

Go here to read the rest:
Everything to Know About Artificial Intelligence, or AI - The New York Times

ChatGPT: Who and what is behind the artificial intelligence tool changing the tech landscape – Fox Business

Deloitte AI Institute executive director Beena Ammanath and C3.ai CEO Thomas Siebel discuss ChatGPT's risks and how it should be integrated into society on 'The Claman Countdown.'

Since the introduction of the artificial intelligence tool ChatGPT in November 2022, the new technology has displayed the power and potential that AI can have on our lives.

Open AI CEO Sam Altman, the company behind ChatGPT, admitted earlier this month that he was even "a little bit scared" of the powerful technology his company is developing. While Altman predicted that artificial intelligence "will eliminate a lot of current jobs," he has said the technology will be a net positive for humans because of the potential to transform industries like education.

But who is Sam Altman, and what is behind this new technology?

MARK CUBAN ISSUES DIRE WARING OVER CHATGPT

In this photo illustration, the welcome screen for the OpenAI "ChatGPT" app is displayed on a laptop screen on February 03, 2023 in London, England. (Leon Neal/Getty Images / Getty Images)

ChatGPT is an artificial intelligence chatbot whose core function is to mimic a human in conversation. Users across the world have used ChatGPT to write emails, debug computer programs, answer homework questions, play games, write stories and song lyrics, and much more.

"It is going to eliminate a lot of current jobs, thats true. We can make much better ones. The reason to develop AI at all, in terms of impact on our lives and improving our lives and upside, this will be the greatest technology humanity has yet developed," Altman said in a recent interview with ABC News. "The promise of this technology, one of the ones that I'm most excited about is the ability to provide individual learning great individual learning for each student."

Altman has made numerous business deals over the last several years, because of the potential of his company's technology.

In January, OpenAI expanded its partnership with Microsoft, who will add almost $10 billion in new capital to the company. Microsoft, as a result of the deal, will likely acquire a large chunk of the companys profits over the next several years (Microsoft previously invested $1 billion in OpenAI three years ago).

Furthermore, Microsoft is planning on implementing the tool into its existing ecosystem to be used in software like Microsoft PowerPoint, Excel and Teams.

Although the influx of cash has provided the company with more resources, it has reportedly divided its 300 some staffers and angered some in the field of AI, who believe the once humanitarian company is now primarily concerned with making a buck.

Dr. Mike Capps is the co-founder of Diveplane, an ethical AI company based in Raleigh, N.C. He was formerly president of Epic Games, the creators of Fortnite and Gears of War, for nearly a decade. He does not believe OpenAI would have been nearly as successful without that significant connection to Microsoft, but also expressed disappointment in some of the business decisions made by the ChatGPT creators.

"I feel a little bit like they sold their soul in order to speed things up, and they succeeded," he said.

Business moguls and AI researchers have also pointed to OpenAIs broken promise of turning ChatGPT open source, allowing businesses and computer scientists to manipulate and tailor the tool to their liking, as another sign of the companys increasingly profit-centric mindset.

"They swore up and down that they were going to give it all away because its the best way to handle this space, and now theyre not, theyre pulling things down, so you cant recreate their work. Its super frustrating," Capps added.

NASA Jet Propulsion Laboratory (JPL) Chief Technology and Innovation Officer Dr. Chris Mattmann told Fox News Digital that the trajectory of OpenAI directly mirrors the evolution of the Apache Software Foundation.

MUSK LOOKS TO BUILD CHATGPT ALTERNATIVE TO COMBAT WOKE AI: REPORT

CEO of OpenAI Sam Altman attends the annual Allen and Co. Sun Valley Media Conference in Sun Valley, Idaho, U.S., July 6, 2022. (REUTERS/Brendan McDermid / Reuters Photos)

Created in 1999, Apache started out as an American nonprofit corporation to support open-source software projects, but overtime became a sort of "toxic place" that abandoned many of its original altruistic intents to pursue commercial interests, according to Mattmann.

"Even in a meritocracy there are still political controls and committees. It works a lot like dark money in government. Its almost like the notion of dark money in tech," he said.

While their goals in the beginning largely revolved around data sharing agreements and scraping data for curation, the decision to take big donations created an inherent tension and pushed OpenAI into a situation where they had to work for the benefit of their investors.

"They dont release their model. I would even give Meta more credit for releasing Llama and allowing people to download it. You cant do that with OpenAI. You cant download their models. You have to pay to play and thats a lot different than what they said in the beginning," Mattmann added.

Earlier this year, OpenAI announced a waitlist for a commercial version of ChatGPT that will allow customers to sign up for a version of the bot that can be integrated into various product and businesses, for a fee.

While many technologies over the last two decades have seen fervent consumer interest, none have seen the type of rapid interest there is for ChatGPT.

"Remember how big mobile got? Its so much faster than that. Remember how big Twitter got, this is faster," Capps claimed.

The first iteration of the artificial intelligence tool launched in November 2022 and crossed 1 million users in just 5 days.

In comparison, it took Netflix 41 months, Facebook 10 months and Instagram nearly three months to reach similar metrics.

The massive success of the technology has spurred countless debates about how and where it should be implemented, fact versus science fiction and recentered artificial intelligence as the hot topic among Silicon Valley boardrooms after years of big promises and false starts.

"It is so good at certain things and absolutely inappropriate forever and always at other things, and we just have to use it correctly," Capps added.

Large corporations are split on ChatGPT. While some have implemented the technology to improve the user experience, such as Netflix, others have outright banned ChatGPT in their ecosystems because of the lack of available knowledge and level of uncertainty.

ChatGPT has the potential to supplant entire businesses. For example, a company that created an artificial intelligence to read through and analyze legal documents could utilize ChatGPT, which can out the same functions at a much lower cost.

OPENAI DEBUTS CHAT GPT-4, MORE ADVANCED AI MODEL THAT CAN DESCRIBE PHOTOS, HANDLE MORE TEXTS

SYMBOL - 11 February 2023, Baden-Wrttemberg, Rottweil: The Welcome to ChatGPT lettering of the US company OpenAI can be seen on a computer screen. ((Photo by Silas Stein/picture alliance via Getty Images) / Getty Images)

ChatGPT, as opposed to large language models (LLMs) specifically designed for use in a specific area of expertise, is no savant in specialized knowledge, but can provide relatively detailed responses on a wide range of topics, even if the output is susceptible to inaccuracies and surface-level observations.

Although the generative AI technology behind ChatGPT has been around for several years, the streamlined user experience of OpenAIs tool and incremental improvements to the algorithm has propelled it to everyday use alongside phones and social media.

You ask it questions and have a conversation with it, and it tries to predict statistically the best input, typically a word, sentence, or paragraph, using a significant portion of all the written text publicly available. The more data dumped in, the better the AI typically performs.

These forms of AI often use neural network-based models, which assign probabilities into a large matrix of variables and filter through a vast network of connections to produce an output.

The AI tool can generate and debug code to help build applications and websites, write emails and essays, offer quick answers to fasten research, create marketing and SEO strategies for various businesses and provide ideas to bolster creative thinking.

The program is phenomenal for people that dont have English as there first language, those who want assistance writing a letter, or people trying to find the top cities to visit for travel, according to Capps, but should not be used in situations that can affect humans in their health or livelihood.

"You dont want to ask ChatGPT how much Tylenol to give your kid when theyre sick because that would just be irresponsible," Capps said.

GPT3, the version of ChatGPT that propelled OpenAI to new levels of popularity, uses over 175 billion statistical connections and is trained on two-thirds of the internet, including Wikipedia and a large array of books. As time goes on, the company refines and expands the data set on which the tool is trained.

The newest iteration of the tool, GPT4, was unveiled earlier this month. OpenAI claims it can provide more information, understand and respond to images, process eight times more words than its predecessor and is less likely to respond to malicious requests.

But ChatGPT is still also essentially a blackbox, where the lineage and origin of the information are not immediately apparent. When hallucinations in the code arise, users cannot determine where the inaccurate information was sourced from, underscoring the importance of human-driven review.

In a March 16 interview with ABC News, Altman acknowledged concerns about ChatGPTs sometimes unreliable behavior.

"The thing that I try to caution people the most is what we call the hallucinations problem. The model will confidently state things as if they were facts that are entirely made up."

Critics have also claimed ChatGPT has a liberal bias, a "shortcoming" that Altman has said the company is working to improve. Generative AI is susceptible to biases from a number of different vectors, including the input of the user, the dataset it is trained on and the parameters and safeguards set by developers.

Altman said in early February that the company was altering ChatGPTs default settings to be "more neutral" and "empower users" to get the system to behave in a way that mirrors their own personal preferences "within broad bounds."

"[We're] talking to various policy and safety experts, getting audits of the system to try to address these issues and put something out that we think is safe and good," Altman told ABC News "And again, we won't get it perfect the first time, but it's so important to learn the lessons and find the edges while the stakes are relatively low."

While Altman works to quell concerns about biases inside his own system he also has drawn scrutiny for his political contributions.

WHAT IS CHATGPT? WHAT TO KNOW ABOUT THE AI CHATBOT THAT WILL POWER MICROSOFT BING

Sam Altman, President of Y Combinator, speaks at the Wall Street Journal Digital Conference in Laguna Beach, California, U.S., October 18, 2017. (REUTERS/Lucy Nicholson/File Photo / Reuters Photos)

In addition to hosting a fundraiser for Democratic presidential candidate Andrew Yang at his San Francisco home in late 2019, Altman has donated over $1 million to Democrats and Democratic groups, including $600,000 to the Senate Majority PAC, $250,000 to the American Bridge PAC, $100,000 to the Biden Victory Fund, and over $150,000 to the Democratic National Committee (DNC).

In 2014, Altman co-hosted a fundraiser for the DNC at the Y Combinators offices in Mountain View, California, which was headlined by then-President Obama.

During Altmans tenure from 2014 until 2019 as the CEO of Y Combinator, an incubator startup that launched Airbnb, DoorDash and DropBox, he talked about China in multiple blog posts and interviews. In 2017, Altman said that he "felt more comfortable discussing controversial ideas in Beijing than in San Francisco" and that he felt like an expansion into China was "important" because "some of the most talented entrepreneurs" that he has met have been operating there.

POTENTIAL GOOGLE KILLER COULD CHANGE US WORKFORCE AS WE KNOW IT

A book of poems lies on a screen on which the homepage of ChatGPT is called up. Artificial intelligence that writes greeting cards, poems or non-fiction texts - and sounds amazingly human in the process. The chatbot does more than just chat on the In (Karl-Josef Hildenbrand/picture alliance via Getty Images / Getty Images)

Altman also has ties to many prominent figures in the tech landscape.

Altman founded the San Francisco-based company OpenAI in 2015 with the help of big financial contributions from Silicon Valleys heavyweights, including Tesla and Twitter CEO Elon Musk, PayPal co-founder Peter Theil and LinkedIn co-founder Reid Hoffman.

At the time, the company was a tiny nonprofit laboratory focused on academic research but has since grown into a tech powerhouse (valued at $29 billion) and a major disruptor within the industry. The companys continuing strides in AI have prompted Google to declare a "code red" internally over fears that ChatGPT could displace its search engine monolith.

OpenAI raised around $130 million from 2016 to 2019, according to a Fox News Digital review of its tax forms. During that time, the group steered money toward numerous AI initiatives.

POTENTIAL GOOGLE KILLER COULD CHANGE US WORKFORCE AS WE KNOW IT

FOX Business' Lydia Hu breaks down the controversy surrounding OpenAI CEO Sam Altman and their chatbot, ChatGPT.

OpenAI spent $10.5 million in 2016 establishing its research team, setting goals, and choosing its first projects, according to its tax forms. The group also launched OpenAI Gym Beta, published nearly half a dozen comprehensive research papers, held a self-organized machine learning conference, developed infrastructure, and built a safety team.

The following year, in 2017, OpenAI spent $28 million on initiatives such as demonstrating "reinforcement learning algorithms could be scaled to beat the world's best humans at a restricted version of an advanced, multiplayer game called Dota2." The nonprofit also participated in a report on the potential malicious uses of AI and published those findings, according to its tax forms.

In 2018, the group spent nearly $50 million when it launched the OpenAI Fellows and Scholars programs. They also trained a "human-like robot hand to manipulate physical objects with unprecedented dexterity and scaling its reinforcement learning algorithms to beat a team of 99.95th percentile Dota 2 players."

CLICK HERE TO READ MORE ON FOX BUSINESS

OpenAI and ChatGPT logos are seen in this illustration taken, February 3, 2023. REUTERS/Dado Ruvic/Illustration (Reuters Photos)

And in 2019, OpenAI put nearly $2 million toward creating "OpenAI, L.P. ("Partnership"), a new capped-profit company to help rapidly scale investments in compute and talent while including checks and balances in furtherance of the organization's mission. Through its control of the partnership, the group's reinforcement learning algorithms "became the first AI to beat the world champions in an esports game," that year's tax records state.

"These same algorithms were then used to train a pair of neural networks to solve a Rubik's Cube with a human-like hand, requiring unprecedented dexterity," the tax records state.

Altman's other nonprofit, OpenResearch, has received around $24 million since its inception, TechCrunch reported.

GET FOX BUSINESS ON THE GO BY CLICKING HERE

More:
ChatGPT: Who and what is behind the artificial intelligence tool changing the tech landscape - Fox Business

Asana launches new work intelligence tools with AI on the way – TechCrunch

Image Credits: Klaus Vedfelt / Getty Images

With all the software tools we have, its still hard to figure out how work moves across large organizations, the state of a project and how closely people are tracking against personal, team and company goals. Asana, which is built on top of a work graph, has that knowledge and the company announced a new set of dashboards today to give managers the data they need to make sure projects are staying on budget and meeting goals.

Alex Hood, chief product officer at Asana, says that the reporting capabilities put a set of information at managers fingertips that previously had to be manually pulled from various systems. Weve created executive reporting that can live at any altitude of the company. So no matter [your job], you can have your set of dashboards of the things that you care about that come in instantly just by selecting [in Asana] which teams and projects and portfolios that you care about, Hood told TechCrunch.

In practice, this involves providing a single view into strategic initiatives, team capacity and budgets. Hood says it builds on the graph model that underlies the entire Asana platform, but the company is working to bring artificial intelligence to the process to make it even smarter. The next step will be using AI to generate the portfolios of the things that you care about instantaneously. So having them become smarter and smarter, but the fact that they can be at any level across an entire organization, that is part of this new launch, he said.

In addition the platform now helps people understand the workload for any given skill across the organization to see who has bandwidth and who is overloaded to help companies more evenly distribute workloads, what Asana refers to as resource intelligence. We are shipping the ability to see the workload of anybody across the whole domain or organizationWe show [this data] in a very graphical format, so you can see whos burning out, whos under capacity, and you can load balance between them across an organization that doesnt even share a hierarchy, he said.

Finally, the company is offering a new tool it calls execution intelligence. This involves providing workflow templates that a company can use to build their own workflows themselves. Weve had workflows in our product for some time, but were making workflow bundles super easy to to pull off the shelf. So were going to have best practice workflows that are pre-constructed that you just plug your pieces into, he said.

While none of these tools has AI built into them just yet, Hood says the next iteration of these tools will definitely be built with it. So we have these three new features that are not AI-driven yet. But they are features that point our nose towards the types of problems that we want to solve with AI because the next generation that lives on top of them will be AI-driven, he said.

See original here:
Asana launches new work intelligence tools with AI on the way - TechCrunch