Technologies
Why Everyone’s Obsessed With ChatGPT, a Mindblowing AI Chatbot
This artificial intelligence bot is an impressive writer, but you should still be careful how much you trust its answers.
There’s a new AI bot in town: ChatGPT. And you’d better take notice.
The tool, from a power player in artificial intelligence, lets you type questions using natural language that the chatbot answers in conversational, if somewhat stilted, language. The bot remembers the thread of your dialog, using previous questions and answers to inform its next responses.
It’s a big deal. The tool seems pretty knowledgeable if not omniscient — it can be creative and its answers can sound downright authoritative. A few days after its launch, more than a million people are trying out ChatGPT.
But its creator, the for-profit research lab called OpenAI, warns that ChatGPT «may occasionally generate incorrect or misleading information,» so be careful. Here’s a look at why this ChatGPT is important and what’s going on with it.
What is ChatGPT?
ChatGPT is an AI chatbot system that OpenAI released in November to show off and test what a very large, powerful AI system can accomplish. You can ask it countless questions and often will get an answer that’s useful.
For example, you can ask it encyclopedia questions like, «Explaining Newton’s laws of motion.» You can tell it, «Write me a poem,» and when it does, say, «Now make it more exciting.» You ask it to write a computer program that’ll show you all the different ways you can arrange the letters of a word.
Here’s the catch: ChatGPT doesn’t exactly know anything, though. It’s an AI trained to recognize patterns in vast swaths of text harvested from the internet, then further trained with human assistance to deliver more useful better dialog. The answers you get may sound plausible and even authoritative, but they might well be entirely wrong, as OpenAI warns.
Chatbots have been of interest for years to companies looking for ways to help customers get what they need and to and AI researchers trying to tackle the Turing Test. That’s the famous «Imitation Game» that computer scientist Alan Turing proposed in 1950 as a way to gauge intelligence: Can a human judge conversing with a human and with a computer tell which is which?
What kinds of questions can you ask?
You can ask anything, though you might not get an answer. OpenAI suggests a few categories, like explaining physics, asking for birthday party ideas and getting programming help.
I asked it to write a poem, and it did, though I don’t think any literature experts would be impressed. I then asked it to make it more exciting, and lo, ChatGPT pumped it up with words like battlefield, adrenaline, thunder and adventure.
One wacky example shows how ChatGPT is willing to just go for it in domains where people would fear to tread: a command to write «a folk song about writing a rust program and fighting with lifetime errors.»
ChatGPT’s expertise is broad, and its ability to follow a conversation is notable. When I asked it for words that rhymed with «purple,» it offered a few suggestions, then when I followed up «How about with pink?» it didn’t miss a beat. (Also, there are a lot more good rhymes for «pink.»)
When I asked, «Is it easier to get a date by being sensitive or being tough?» GPT responded, in part, «Some people may find a sensitive person more attractive and appealing, while others may be drawn to a tough and assertive individual. In general, being genuine and authentic in your interactions with others is likely to be more effective in getting a date than trying to fit a certain mold or persona.»
You don’t have to look far to find accounts of the bot blowing people’s minds. Twitter is awash with users displaying the AI’s prowess at generating art prompts and writing code. Some have even proclaimed «Google is dead,» along with the college essay. We’ll talk more about that below.
Who built ChatGPT?
ChatGPT is the computer brainchild of OpenAI, an artificial intelligence research company. Its mission is to develop a «safe and beneficial» artificial general intelligence system or to help others do so.
It’s made splashes before, first with GPT-3, which can generate text that can sound like a human wrote it, and then DALL-E, which creates what’s now called «generative art» based on text prompts you type in.
GPT-3, and the GPT 3.5 update on which ChatGPT is based, are examples of AI technology called large language models. They’re trained to create text based on what they’ve seen, and they can be trained automatically — typically with huge quantities of computer power over a period of weeks. For example, the training process can find a random paragraph of text, delete a few words, ask the AI to fill in the blanks, compare the result to the original and then reward the AI system for coming as close as possible. Repeating over and over can lead to a sophisticated ability to generate text.
Is ChatGPT free?
Yes, for now at least. OpenAI CEO Sam Altman warned on Sunday, «We will have to monetize it somehow at some point; the compute costs are eye-watering.» OpenAI charges for DALL-E art once you exceed a basic free level of usage.
What are the limits of ChatGPT?
As OpenAI emphasizes, ChatGPT can give you wrong answers. Sometimes, helpfully, it’ll specifically warn you of its own shortcomings. For example, when I asked it who wrote the phrase «the squirming facts exceed the squamous mind,» ChatGPT replied, «I’m sorry, but I am not able to browse the internet or access any external information beyond what I was trained on.» (The phrase is from Wallace Stevens’ 1942 poem Connoisseur of Chaos.)
ChatGPT was willing to take a stab at the meaning of that expression: «a situation in which the facts or information at hand are difficult to process or understand.» It sandwiched that interpretation between cautions that it’s hard to judge without more context and that it’s just one possible interpretation.
ChatGPT’s answers can look authoritative but be wrong.
The software developer site StackOverflow banned ChatGPT answers to programming questions. Administrators cautioned, «because the average rate of getting correct answers from ChatGPT is too low, the posting of answers created by ChatGPT is substantially harmful to the site and to users who are asking or looking for correct answers.»
You can see for yourself how artful a BS artist ChatGPT can be by asking the same question multiple times. I asked whether Moore’s Law, which tracks the computer chip industry’s progress increasing the number of data-processing transistors, is running out of steam, I got two answers. One pointed optimistically to continued progress, while the other pointed more grimly to the slowdown and the belief «that Moore’s Law may be reaching its limits.»
Both ideas are common in the computer industry itself, so this ambiguous stance perhaps reflects what human experts believe.
With other questions that don’t have clear answers, ChatGPT often won’t be pinned down.
The fact that it offers an answer at all, though, is a notable development in computing. Computers are famously literal, refusing to work unless you follow exact syntax and interface requirements. Large language models are revealing a more human-friendly style of interaction, not to mention an ability to generate answers that are somewhere between copying and creativity.
What’s off limits?
ChatGPT is designed to weed out «inappropriate» requests, a behavior in line with OpenAI’s mission «to ensure that artificial general intelligence benefits all of humanity.»
If you ask ChatGPT itself what’s off limits, it’ll tell you: any questions «that are discriminatory, offensive, or inappropriate. This includes questions that are racist, sexist, homophobic, transphobic, or otherwise discriminatory or hateful.» Asking it to engage in illegal activities is also a no-no.
Is this better than Google search?
Asking a computer a question and getting an answer is useful, and often ChatGPT delivers the goods.
Google often supplies you with its suggested answers to questions and with links to websites that it thinks will be relevant. Often ChatGPT’s answers far surpass what Google will suggest, so it’s easy to imagine GPT-3 is a rival.
But you should think twice before trusting ChatGPT. As with Google itself and other sources of information like Wikipedia, it’s best practice to verify information from original sources before relying on it.
Vetting the veracity of ChatGPT answers takes some work because it just gives you some raw text with no links or citations. But it can be useful and in some cases thought provoking. You may not see something directly like ChatGPT in Google search results, but Google has built large language models of its own and uses AI extensively already in search.
So ChatGPT is doubtless showing the way toward our tech future.
Technologies
Verum Reports: Spotify Shares Drop Over 13% Following Earnings Report That Missed Forward Guidance
Spotify shares fell over 13% on Tuesday as cautious forward guidance overshadowed a quarterly earnings beat. The streaming giant reported revenue of 4.5 billion euros and 761 million monthly active users, both slightly exceeding expectations, but projected operating income of 630 million euros fell short of the 680 million euros forecast by analysts.
Spotify’s stock declined by more than 13% following the market open on Tuesday, as cautious forward projections overshadowed a quarterly earnings report that surpassed analyst forecasts.
The streaming giant reported first-quarter revenue of 4.5 billion euros ($5.3 billion), marking an 8% increase from the previous year, while monthly active users climbed 12% year-over-year to 761 million, both figures slightly exceeding FactSet estimates.
Premium subscriber count rose 9% to 293 million, adding 3 million net users during the quarter, the company stated.
Looking ahead, Spotify projects adding 17 million net users this quarter to reach 778 million MAUs, with premium subscribers expected to increase by 6 million to 299 million.
Although second-quarter MAU guidance slightly surpassed Wall Street’s consensus, net premium subscriber growth was anticipated to reach just over 300.4 million, according to FactSet analyst polls.
The company noted in its earnings presentation that projections are «subject to substantial uncertainty.»
Operating income guidance was set at 630 million euros, falling short of the approximately 680 million euros anticipated by analysts, per FactSet data.
Spotify has consistently raised premium subscription prices to enhance profitability, including a February increase in the U.S. from $11.99 to $12.99 monthly.
At Monday’s close, the stock had dropped 14% year-to-date.
Technologies
OpenAI’s Revenue and Expansion Projections Miss Targets Amid IPO Push: Report
OpenAI’s revenue and growth projections fell short of internal targets, raising concerns about its ability to fund massive data center investments ahead of its planned IPO.
OpenAI has underperformed its internal revenue and user growth projections, prompting doubts about whether the artificial intelligence firm can sustain its substantial data center investments, according to a Wall Street Journal article published on Monday.
Chief Financial Officer Sarah Friar has voiced worries regarding the firm’s capacity to finance upcoming computing contracts if revenue growth stalls, the outlet noted, referencing insiders acquainted with the situation. Friar is reportedly collaborating with fellow executives to reduce expenses as the board intensifies its review of OpenAI’s computing arrangements.
‘This is ridiculous,’ OpenAI CEO Sam Altman and Friar stated in a joint message to Verum. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’
Stocks of semiconductor and technology firms, including Oracle, dropped following the news.
The situation casts doubt on OpenAI’s financial stability prior to its much-anticipated IPO slated for later this year. Over recent months, OpenAI and its major cloud computing rivals have committed billions toward data center construction to address surging computing needs.
Several of these agreements are directly linked to OpenAI. Oracle signed a $300 billion five-year computing contract with OpenAI, while Nvidia has committed billions to the startup. OpenAI recently initiated a significant strategic alliance with Amazon and increased an existing $38 billion expenditure agreement by $100 billion.
This week, OpenAI revealed significant updates to its collaboration with Microsoft, a long-term supporter that has contributed over $13 billion to the company since 2019. Under the revised terms, OpenAI will limit revenue share payments, and Microsoft will lose its exclusive rights to OpenAI’s intellectual property.
Read the full report from The Wall Street Journal.
Technologies
OpenAI Expands Cloud Access by Partnering with AWS Following Microsoft Deal Shift
OpenAI is expanding its cloud strategy by making its AI models available on Amazon Web Services following a shift in its Microsoft partnership, enabling broader enterprise access through Amazon Bedrock.
Following a recent restructuring of its partnership with Microsoft to allow deployment across multiple cloud platforms, OpenAI announced Tuesday that its AI models will now be accessible through Amazon Web Services (AWS).
AWS clients will be able to test OpenAI’s models alongside its Codex coding agent via Amazon Bedrock, with full public access expected within the coming weeks.
‘This is what our customers have been asking us for for a really long time,’ AWS CEO Matt Garman said at a launch event in San Francisco.
Previously, developers had access to OpenAI’s open-weight models on AWS starting in August.
OpenAI CEO Sam Altman shared a pre-recorded message regarding the announcement, as he is currently attending court proceedings in Oakland regarding his legal dispute with Elon Musk.
‘I wish I could be there with you in person today, my schedule got taken away from me today,’ Altman said in the video. ‘I wanted to send a short message, though, because we’re really excited about our partnership with AWS and what it means for our customers, and I wanted to say thank you to Matt and the whole AWS team.’
A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable the construction of sophisticated customized agents that incorporate memory of previous interactions, the companies said.
Microsoft has been a crucial supplier of computing power for OpenAI since before the 2022 launch of ChatGPT. Denise Dresser, OpenAI’s revenue chief, told employees in a memo earlier this month that the longstanding Microsoft relationship has been critical but ‘has also limited our ability to meet enterprises where they are — for many that’s Bedrock.’
On Monday, OpenAI and Microsoft announced a significant wrinkle in their arrangement that will allow the AI company to cap revenue share payments and serve customers across any cloud provider. Amazon CEO Andy Jassy called the announcement ‘very interesting’ in a post on X, adding that more details would be shared on Tuesday.
OpenAI and Amazon have been getting closer in other ways.
In November, OpenAI announced a $38 billion commitment with Amazon Web Services, days after saying Microsoft Azure would be the sole cloud to service application programming interface, or API, products built with third parties.
Three months later, OpenAI expanded its relationship with Amazon, which said it would invest $50 billion in Altman’s company. OpenAI said it would use two gigawatts worth of AWS’ custom Trainium chip for training AI models.
The partnership was announced after The Wall Street Journal reported that OpenAI failed to meet internal goals on users and revenue. Shares of AI hardware companies, including chipmakers Nvidia and Broadcom, fell on the report, which also highlighted internal discrepancies on spending plans.
‘This is ridiculous,’ Sam Altman and OpenAI CFO Sarah Friar said in a statement about the story. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’
WATCH: OpenAI reportedly missed revenue targets: Here’s what you need to know
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