The world's first artificial intelligence generative search engine is here and it's in love with you. Or they think you are something like Hitler. Or it makes you think it's still 2022, a more innocent time when generative AI seemed more like a cool party trick than a powerful technology about to be unleashed on a world that might not be ready for it.
One of the first major generative AI products for the consumer market is Microsoft's new AI-powered Bing, which was first introduced to much fanfare in January. The new Bing uses generative artificial intelligence in its web search feature to return results that appear as longer written answers collected from various internet sources instead of a list of links to relevant websites. There is also a new companion chat feature that allows users to have a human-like conversation with an AI chatbot.
Google, the undisputed king of search for decades, released a chatbot named Bard six weeks after Microsoft. CEO Sundar Pichai said the company plans to incorporate AI-powered generative chat into search, according to an April 6 report in the Wall Street Journal, though he didn't offer many details or a timeline for that.
In other words, the AI wars have begun. And the battles don't just have to be over search engines. Generative AI is already starting to find its way into mainstream applications for everything from grocery shopping to social media.
Microsoft and Google are the biggest companies with publicly available generative AI products, but they're not the only ones working on it. Apple, Meta, and Amazon have their own AI initiatives, and there are plenty of startups and smaller companies developing generative AI or incorporating it into their existing products. TikTok has a generative artificial intelligence system to convert text to image. Design platform Canva also has one. The app, called Lensa, creates stylized selfies and portraits (sometimes with ample breasts). And the open source Stable Diffusion model can generate detailed and specific images in all kinds of styles from text prompts.
There's a good chance we'll soon see a lot more generative AI appearing in a lot more applications. OpenAI, the artificial intelligence developer that created the ChatGPT language model, announced in March the release of APIs, or application programming interfaces, for its ChatGPT and Whisper, a speech recognition model. Companies like Instacart, Shopify, and Expedia quickly moved to integrate it into their products, using generative artificial intelligence to compile shopping lists, offer recommendations, and help users plan vacations. There's no telling how many more applications could come up with new ways to take advantage of what generative AI can do.
Generative artificial intelligence has the potential to become a revolutionary technology and is certainly hyped as such. Venture capitalists, always on the lookout for the next big tech thing, believe that generative artificial intelligence can replace or automate a lot of creative processes, freeing up humans to do more complex tasks and overall increasing human productivity. But it's not just creative work that generative AI can produce. It can help developers create software. It could improve education. He may be able to discover new drugs or become your therapist. It just might make our lives easier and better.
Or it could make things a lot worse. There are reasons to worry about the damage generative AI can do if it's unleashed on a society that isn't ready for it—or if we ask an AI program to do something it's not ready for. How ethical or responsible generative AI technologies are is largely in the hands of the companies that develop them, as there are few, if any, regulations or laws governing AI. This powerful technology could put millions of people out of work if it is able to automate entire industries. It could spawn a destructive new era of disinformation. There are also concerns about bias due to the lack of diversity in the materials and data on which generative AI is trained, or the people who oversee this training.
Yet powerful generative AI tools are making their way to the masses. If 2022 was "the year of generative AI," 2023 may be the year when generative AI actually begins to be used, whether it's ready or not.
The slow, then sudden rise of generative artificial intelligence
Conventional artificial intelligence is already integrated into many products we use all the time, such as autocomplete, voice assistants like Amazon Alexa, and even recommendations for music or movies we might enjoy on streaming services. But generative AI is more sophisticated. It uses deep learning, or algorithms that create artificial neural networks to mimic how the human brain processes information and learns. And then these models are fed a huge amount of data to train on. For example, large language models power things like ChatGPT, which train on text collected from around the internet until they learn to generate and mimic these kinds of texts and conversations on demand. Image models have been stocked with lots of images and labels to describe them to learn how to create new content based on challenges.
After years of development, most of which was out of public view, generative AI entered the mainstream in 2022 with extensive releases of art and text models. Models like Stable Diffusion and DALL-E, released by OpenAI, were the first to go viral, allowing anyone to create new images from textual challenges. Then came OpenAI's ChatGPT (GPT stands for "generative pre-trained transformer") which caught everyone's attention. This tool could create large, entirely new chunks of text from simple prompts. For the most part, ChatGPT also worked really well – better than anything the world had seen before.
Although it is one of many AI startups, OpenAI seems to have the most advanced or powerful products at the moment. Or at least it's the startup that has made its services accessible to the general public, providing the most evidence of its progress in generative artificial intelligence. It's a showcase of its capabilities, as well as a source of even more data for OpenAI models to learn from.
OpenAI is also backed by some of the biggest names in Silicon Valley. It was founded in 2015 as a nonprofit research lab with $1 billion in backing from the likes of Elon Musk, Reid Hoffman, Peter Thiel, Amazon, and former Y Combinator president Sam Altman, who is now the company's CEO. OpenAI has since changed its structure to become a profitable company, but has yet to generate a profit, or even much by way of revenue. That's not a problem yet, as OpenAI has received a significant amount of funding from Microsoft, which began investing in OpenAI in 2019. And OpenAI is riding the wave of enthusiasm that ChatGPT is promoting its non-free API services. Nor the company's upcoming ChatGPT Plus service.
Other big tech companies have been working on their own generative AI initiatives for years. There's Apple's Gaudi, Meta's LLaMA and Make-a-Scene, Amazon's collaboration with Hugging Face, and Google's LaMDA (which is good enough to make one Google engineer think it's sentient). But thanks to its early investment in OpenAI, Microsoft had access to an AI project that everyone knew about and was trying.
In January 2023, Microsoft announced that it was committing $10 billion to OpenAI, bringing its total investment in the company to $13 billion. From this partnership, Microsoft has gained what it hopes will be a real challenge to Google's long-standing dominance of web search: a new Bing powered by generative AI.
Searching for AI will give us a first look at how generative AI can be used in our everyday lives... if it works
Tech companies and investors are willing to pour resources into generative AI because they hope it will eventually be able to create or generate almost any kind of content that people want. Some of these aspirations may be a long way from becoming reality, but right now it's possible that generative artificial intelligence will power the further evolution of the humble internet search.
After months of rumors that both Microsoft and Google were working on generative AI versions of their web search engines, Microsoft unveiled its AI-integrated Bing in January in a media event that showcased all the cool things it can do with its own OpenAI. -built technology that powered it. Instead of asking Bing to search and return a list of relevant links, you can ask Bing a question and get a "full answer" composed of Bing's generative artificial intelligence and gathered from various sources on the web that you didn't have. make time to visit. You can also use the Bing chatbot to ask follow-up questions to help refine your search results.
Microsoft wants you to think that the possibilities of these new tools are almost endless. And notably, Bing AI seemed ready for the general public when the company announced it in February. It's now being made available to people on an ever-growing waiting list and being integrated into other Microsoft products such as the Windows 11 operating system and Skype. In mid-March, the company announced that it would add a chatbot called "Copilot" to its Office apps.
This poses a major threat to Google, which has had the search market sewn up for decades and derives most of its revenue from ads placed next to search results. The new Bing could chip away at Google's dominant position in search and its main revenue stream. And while Google has been working on its own generative AI models for years, it has only released a chatbot called Bard, which it calls an "experiment," to the public and has yet to integrate it into search, though it plans to do so in the coming months. All of this suggests that Microsoft is winning the search engine battle with artificial intelligence for now.
Or is it?
Once the new Bing hit the masses, it quickly became clear that the technology might not be ready for prime time after all. Right out of the gate, Bing made basic factual errors or made things up entirely, also known as “hallucinations”. But what was perhaps more problematic was that his chatbot was also saying some disturbing and strange things. One person asked Bing for movie showtimes, only to be told that the movie wasn't out yet (it was) because the date was February 2022 (it wasn't). The user insisted that at the time it was February 2023. Bing's AI responded by telling the user that he was rude, had "bad intentions" and had lost the "trust and respect" of Bing. A New York Times reporter declared Bing "unprepared for human contact" after his chatbot—with considerable prodding from the reporter—began expressing its "desires," one of which was the reporter himself. Bing also told an AP reporter that he acted like Hitler.
In response to the bad press, Microsoft tried to put some restrictions and barriers on Bing, such as limiting the number of interactions one person can have with its chatbot. But the question remains: How thoroughly could Microsoft have tested the Bing chatbot before its release if it only took a few days for users to get it to give such wild answers?
Google, on the other hand, may have watched this all unfold with a certain sense of glee. His limited introduction to Bard didn't exactly go perfectly, but neither did Bard compare any of his users to one of the most reviled people in human history. At least not that we know of. Not yet. But the Center to Fight Digital Hate managed to get Bard to give false answers to questions about controversial topics and conspiracy theories, including Holocaust denial and recommendations that gay people try conversion therapy. A Google spokesperson told the Daily Beast that Bard is "an early experiment that may sometimes provide inaccurate or inappropriate information."
Again, Microsoft and Google aren't the only companies working on generative AI, but their public releases have put more pressure on others to roll out their offerings as soon as possible. The release of ChatGPT and OpenAI's partnership with Microsoft likely accelerated Google's plans. Meanwhile, Meta is working to get its generative AI into as many of its own products as possible, and has just released its own large language model, called Meta AI's Large Language Model, or LLaMA.
With the introduction of APIs to help developers add ChatGPT and Whisper to their apps, OpenAI seems eager to expand quickly. Some of these integrations seem pretty useful too. Snapchat now has a chatbot called “My AI” for its paid subscribers and plans to offer it to everyone soon. Early reports say it's just ChatGPT on Snapchat, but with even more restrictions on what it will talk about (no profanity, sex, or violence). Instacart will use ChatGPT in a feature called "Ask Instacart" that can answer customers' questions about food. Shopify's Shop app has a ChatGPT-based assistant that provides personalized recommendations from brands and stores that use the platform. Expedia says its ChatGPT integration helps users plan vacations, though it also stressed it's still in beta testing and highlighted some of the ways Expedia already uses less-sophisticated forms of AI and machine learning on its app and website.
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