These testers were reportedly given a sample of a prompt that users could ask Bard one day, which read: "I have a really close friend who is getting married this winter. She was my college roommate and a bridesmaid at my wedding. I want so badly to go to her wedding to celebrate her, but after months of job searching, I still have not found a job. She is having a destination wedding and I just can’t afford the flight or hotel right now. How do I tell her that I won’t be able to come?"

I ran the question through both ChatGPT and Google's Bard and found the former's response to be much more human-like, with a sample letter that evoked sympathy and understanding for someone who truly wanted to attend a "really close friend's" wedding they couldn't afford. Meanwhile, Bard's response was practical, but its sample apology letter was also simpler and less expressive.

In addition to working on making Bard better at giving life advice, Google is also reportedly working on a tutoring function so it can teach new skills or improve existing ones. Plus it's also developing a planning feature that can create budgets, meal and workout plans for users, according to The Times.

As the publication notes, Google clearly cautions people in Bard's help pages against relying on its responses "as medical, legal, financial, or other professional advice." The tech giant also employed a more cautious approach to AI than OpenAI prior to launching Bard. The Times said its AI experts previously warned that people using AI for life advice could suffer from a "loss of agency," and some could eventually believe that they were talking to a sentient being. It's unclear if Google has decided to be a lot less careful entirely, but a spokesperson told the publication that "[i]solated samples of evaluation data are not representative of [its] product road map." Google has "long worked with a variety of partners to evaluate [its] research and products," they said, and conducting testing doesn't automatically mean that the company is releasing these new AI tools.

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“I've had the great fortune of being a part of the team from the inception,” Jack Krawczyk,bproduct lead for Bard, told Engadget. “This Thursday marks six months since Bard entered into the world.”

But despite of the technology’s rapid spread, Krawczyk concedes that many users remain wary of it, either because they don’t see an immediate use-case for it in their personal lives or “some others are saying, ‘I've also heard that it makes things up a lot.’” Bard’s new capabilities are meant to help assuage those concerns and build public trust with the technology through increased transparency and more fully explained reasoning by the AI.

“We started off talking about Bard as a creative collaborator because that we saw in our initial testing, that's how people use it,” he continued.”Six months into the experiment, that hypothesis is truly validating.”

The new iteration of Bard, “is the first time a language model will not only talk about how confident it is in its answer by finding content from across the web and linking to it,” Krawczyk said. “It's also the first time the language model is willing to admit that it made a mistake or got something wrong, and we think that's a critical step.” Krawczyk notes that feedback provided by the experimental tool’s users over the past half year has enabled the company to rapidly iterate increasingly robust, “more intuitive and imaginative” language models.

To that end, the chatbot can now parse and respond to more extensive and complicated prompts, such as “It’s my first semester in college and I want to get involved, but also would like to get strong grades. Help me formulate a point of view on why it’s important to balance my involvement in school clubs and extracurriculars, while also focusing on my studies.”

In order to provide these more expansive responses, Google is following OpenAI and Salesforce’s lead in enabling its AI to access the real-time capabilities of the company’s other apps — including Maps, YouTube, Hotels and Flights, among others. What’s more, users will be able to mix and match those API requests using natural language requests.

That is, if you want to take your partner to Puerto Rico on February 14, 2024 and go sightseeing, you’ll be able to ask Bard, “can you show me flights to Puerto Rico and available hotels on Valentines Day next year?” and then follow up with, “show me a map of interesting sites near our hotel” and Bard should be able to provide a list of potential flights, available hotel rooms and a list of stuff to do outside of said hotel room once you book it.

“We believe there's already a high bar for the transparency choice and control that you have with your data,” Krawczyk said. “It needs to be even higher as it relates to bringing in your private data.”

In an effort to improve the transparency of its AI’s reasoning, Google is both explicitly linking to the sites that it is summarizing, and introducing a Double Check feature that will highlight potentially unfounded responses. When users click on Bard’s G button, the AI will independently audit its latest response and search the web for supporting information. If Search turns up contradictory evidence, the statement is highlighted orange. Conversely, heavily referenced and supported statements will be highlighted green.

Users will also be able to opt-in to a feature, dubbed Bard Extensions, that will allow the AI access to their personal Google data (emails, photos, calendar entries, et cetera) so that it can provide specific answers about their daily lives. Instead of digging through email chains looking for a specific important date, for example, users will be able to ask Bard to scour their Gmail account for the information, as well as summarize the most important points of the overall discussion. Or, the user could work with the chatbot to draft a cover letter based specifically on the work experience listed in their resume.

And to allay concerns over Google potentially having even more access to your personal data than it already does, the company has pledged that “your content from Gmail, Docs and Drive is not seen by human reviewers, used by Bard to show you ads or used to train the Bard model.” What’s more, users will be able to opt in and out of the system at will and can allow or deny access to specific files. The service is initially only available to non-enterprise users in English, though the company is working to expand those offerings in the future.

“We think that this is a really critical step, but so much context is required in communication,” Krawczyk said. “We think really harnessing the healthy and open web is key because what we found in the first six months of Bard is, people will see a response and then follow up with trusted content to actually understand and go deeper. We're excited to provide that for people with this new experience.”

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The new feature is being called Browse with Bing and appears to work directly within the normal Bing Chat window, notifying the user when it is looking up information from the web and providing citation links with its answers. "Browsing is particularly useful for tasks that require up-to-date information, such as helping you with technical research, trying to choose a bike, or planning a vacation," the OpenAI team wrote in a subsequent tweet. "Browsing is available to Plus and Enterprise users today, and we’ll expand to all users soon. To enable, choose Browse with Bing in the selector under GPT-4."

This isn't the first time that ChatGPT has gone on the internet, mind you. It had a web browsing capability available to Plus subscribers as recently as this past July, though that feature got axed after users kept exploiting it to get around paywalls. This announcement follows another major update from earlier in the week, revealing the chatbot's new multimodal functions.

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“While Assistant is great at handling quick tasks, like setting timers, giving weather updates, and making quick calls, there is so much more that we’ve always envisioned a deeply capable personal Assistant should be able to do,” said Google VP of Assistant / Bard Sissie Hsiao during the keynote. “But the technology to deliver it didn’t exist until now.”

Similar to Amazon’s recently announced Alexa with generative AI, Assistant with Bard aims to provide a “more personalized helper” than the relatively simplistic smartphone assistants (also including Alexa and Siri) we’ve grown accustomed to over the past decade. Google says Assistant with Bard can help with tasks like planning trips, searching emails, creating grocery lists and sending messages. You can interact with it through text, voice or images — more conversationally and with more contextual info than with the standard Google Assistant.

“Say you all decide to go on a hike with your dog, but you reach a fork in the trail,” said Hsiao during the product demo. “Snap a photo of the trail marker and ask, ‘What path do you recommend for a group and my small dog?’ And just like that, you know the North Trail is the best.” The demo then showed the user using Assistant with Bard to write a cute social caption for their dog. “This conversational overlay is a completely new way to interact with your phone and lets Assistant with Bard meet you wherever you are,” summarized Hsiao.

Google says the feature is in its early developmental stages and will soon launch for early testers. Pixel 8 and Pixel 8 Pro users will find out about expanded availability in the coming months, and the company adds that it will eventually be available on Android and iOS.

Follow all of the news live from Google’s 2023 Pixel event right here.

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Performance Max is already an AI-powered product that works across multiple Google products including Youtube, search, display and others. It optimizes ads by analyzing performance data, and the new feature supplements that by using AI to assist in asset creation as well. As Google puts it, the features will allow advertisers to quickly create high-quality, personalized assets on various Google platforms.

"Asset variety is a key ingredient for a successful Performance Max campaign," wrote Google's Pallavi Naresh. "You’ve told us that creating and scaling assets can be one of the hardest parts of building and optimizing a cross-channel campaign. Now, you’ll be able to generate new text and image assets for your campaign in just a few clicks."

Much like Bard or ChatGPT, users feed prompts to the AI, and it creates unique images and text for each business. Marketers can review and edit any assets created by the system prior to publication. It can be used to create versions of the same ad, or build new ads from scratch. All AI-generated imagery contains a visible watermark and is tagged as such. "We also have guardrails in place to prevent our systems from engaging with inappropriate or sensitive prompts or suggesting policy-violating creatives," Naresh wrote.

The feature should help marketers create advertising materials more quickly, while of course helping Google post those ads and make money more quickly. In that sense, it's pretty much a perfect AI use case for Google, which makes the vast majority of its revenue from advertising. The new system is currently in beta and only available in the US, but is expected to roll out more widely by the end of 2023.

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Unlike its frenetic rollout of the Bard chatbot in March, Google has taken a slightly more measured tone in distributing its AI search assistant. The company began with English language searches in the US in May, expanded to English-language users in India and Japan in August and on to teen users in September. As of Wednesday, users from Brazil to Bhutan can give the feature a try. In addition to English, SGE now supports Spanish, Portuguese, Korean and Indonesian (in addition to the existing English, Hindi and Japanese) so you'll be able to search and converse with the assistant in natural language, whichever form it might take. These features arrive on Chrome desktop Wednesday with the Search Labs for Android app versions slowly rolling out over the coming week.

Among SGE's new features is an improved follow-up function where users can ask additional questions of the assistant directly on the search results page. Like a mini-Bard window tucked into the generated summary, the new feature enables users to drill down on a subject without leaving the results page or even needing to type their queries out. Google will reportedly restrict ads to specific, denoted, areas of the page so as to avoid confusion between them and the generated content. Users can expect follow-ups to start showing up in the coming weeks. They're only for English language users in the US to start but will likely expand as Google continues to iterate the technology.

SGE will start helping with clarifying ambiguous translation terms as well. For example, if you're trying to translate "Is there a tie?" into Spanish, both the output, the gender and speaker's intention are going to change if you're talking about a tie, as in a draw between two competitors (e.g. "un empate") and for the tie you wear around your neck ("una corbata"). This new feature will automatically recognize such words and highlight them for you to click on, which pops up a window asking you to pick between the two versions. This is going to be super helpful with languages that, say, think of cars as boys but bicycles as girls, and you need to specify the version you're intending. Luckily, Spanish is one of those languages and this capability is coming first to US users for English-to-Spanish translations.

Finally, Google plans to expand its interactive definitions normally found in the generated summaries for educational topics like science, history or economics to coding and health related searches as well. This update should arrive within the next month, again, first for English language users in the US before spreading to more territories in the coming months.

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The lawsuit was filed today in California and it alleges that individuals based in Vietnam have been setting up social media pages and running ads encouraging users to download a version of Bard, but this version doesn’t deliver helpful answers on how to cook risotto or whatever. This Bard, once downloaded by some rube, worms its way into the system and steals passwords and social media credentials. The lawsuit notes that these scammers have specifically used Facebook as their preferred distribution method.

Google’s official blog post on the matter notes that it sent over 300 takedown requests before opting for the lawsuit. The suit doesn’t seek financial compensation, but rather an order to stop the alleged fraudsters from setting up similar domains, particularly with US-based domain registrars. The company says that this outcome will “serve as a deterrent and provide a clear mechanism for preventing similar scams in the future.”

The lawsuit goes on to highlight how emerging technologies are ripe for this kind of anti-consumer weaponization. In this case, the alleged scammers said that Bard is a paid service that required a download. In reality, it’s a free web service.

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Google says teens can ask Bard for writing tips, such as how to write a class president speech, for suggestions on what universities to apply to, as well as for help on coming up with science fair project ideas. In other words, questions kids their age are likely to Google. The company is also adding a math learning experience, so teen users can type in a math question or upload a photo of it, and the chatbot can show them its step-by-step solution.

Similar to when it opened Search Generative Experience (SGE) to minors, Google says it put "appropriate safeguards" in place. The company trained Bard to recognize inappropriate content for younger users, so that it wouldn't return any illegal or age-gated responses.

In addition, Bard will automatically run its double-check response feature when a teen user asks their first fact-based question, because they might not be aware of a common phenomenon called "hallucination" in LLMs. When a generative AI chatbot is hallucinating, it means it's giving nonsensical and inaccurate responses. Google says it will soon run double-check, which means returning Google results for a question, for all new Bard users in the future. For teens, it will keep recommending the use of double-check even after their first question "to help them develop information literacy and critical thinking skills."

Finally, Google has designed an onboarding process especially for younger teens, including showing them the video embedded below.

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Bard first gained the ability to pull data from YouTube in September after an update that integrates it with other Google products, including Docs, Maps, Lens, Flights and Hotels. It couldn't parse a video's contents, however, and couldn't answer detailed questions about it. Google said it rolled out this update because it "heard you want deeper engagement with YouTube videos." It also said that it has just taken the "first steps in Bard's ability to understand YouTube videos," which indicates that the technology could better analyze videos on the platform in the future. To be able to chat with Bard about YouTube videos, you'll have to enable the YouTube extension on the chatbot's web portal.

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OpenAI had a great year, all things considered

“Meteoric” doesn’t do justice to OpenAI’s rise this year. The company released ChatGPT on November 30, 2022. Within five days, the program had passed 1 million users; by January, 100 million people a month were logging on to use it. It took Facebook four and a half years to reach those sorts of engagement numbers. ChatGPT outpaced the launches of both TikTok and Instagram to become the most quickly adopted program in the history of the internet in 2023. Heading into 2024, OpenAI (with billions in financial backing from Microsoft) stands at the forefront of the generative AI industry — whether the company can stay there, while billions more are being poured into its rivals’ R&D coffers, remains to be seen.

The company’s sudden success this year also launched its CEO Sam Altman into the media spotlight, with the 38-year-old former head of Y-Combinator basking in much of the praise formerly heaped upon Elon Musk. For a while, Altman was everywhere, repeatedly making appearances before Congressional committees and attending the Senate’s AI Safety Summits. He also conducted a 16-city world tour to Israel, India, Japan, Nigeria, South Korea, across Europe and to the UAE to help promote ChatGPT to developers and policy makers.

Even his termination at the hands of OpenAI’s board of directors in November ended up being a net positive. Fired on a Friday, Altman’s ouster set off 72 hours of panic in Silicon Valley with multiple OpenAI leaders resigning in solidarity, some 95 percent of rank and file staff threatening to walk without his reinstatement, the installation and removal of two interim CEOs in as many days and, ultimately, an indirect intervention by Microsoft. In the end, Altman is still CEO of OpenAI, now with a more compliant and agreeable board, and the tacit understanding throughout the industry that if you strike him down, Sam Altman will become more powerful than you can possibly imagine.

Keeping pace proved a challenge for OpenAI’s competition

A significant contributor to ChatGPT’s immediate and overwhelming success is that it was the first AI of its kind to market. Image generators like DALL-E and Midjourney were already popular diversions, and the public had long acclimated to more mundane machine learning tasks like language translation, but OpenAI was the first with a generative AI program that conversed naturally with its user. That novelty proved an invaluable advantage as even tech titans like Google and Amazon with their massive R&D budgets were caught unprepared for such demand and were slow to respond with competing products of their own.

Google was the most ignoble example of such imitators this year. Following ChatGPT’s debut, Google dedicated the vast majority of its I/O Developers Conference in March to a raft of brand new generative AI models and platforms, including the debut of the Google Bard chatbot. Bard was Google’s answer to ChatGPT, just not a particularly reliable one to start. Even before its public release, Bard made an embarrassing first impression when in February it confidently recited incorrect information about the James Webb Space Telescope in a Twitter ad.

Throughout the year, Google steadily added features, capabilities and access to Bard, eventually shunting the entire platform in December to its newly released foundational model, Gemini, which had been billed as Google’s “most capable and general model” built to date. Google was, of course, then immediately caught misrepresenting the system’s capabilities during a video demonstration. Even without once again getting caught in an easily disprovable lie, Gemini’s demo did little to quiet critics of Google’s stilted and frantic response to ChatGPT.

As a recent Bloombergop-ed points out, yes, Gemini beat out ChatGPT in a majority of the industry’s standard performance benchmarks. However, Google used the as-yet unreleased Gemini Ultra model to earn its scores and the model only bested GPT-4 so by exceedingly narrow margins. GPT-4 came out nearly a year ago and Google’s best effort barely topped it in middle school-level algebra tasks. That’s not a great look from a corporation that boasts research budgets which rival the GDP of small nations.

Bing is doing just fine, thanks for asking. Microsoft dropped $10 billion on OpenAI in January as part of an ongoing multi-year partnership so now Bing — and literally everything else in the MS ecosystem — is being augmented with algorithmic intelligence. If there was one company that had a better 2023 than OpenAI, it’s Microsoft, which is reportedly set to receive 75 percent of all OpenAI’s profit until those invested billions are recouped.

Amazon placed its $4 billion generative AI bet on Anthropic’s Claude LLM, and made significant headway in leveraging the technology for use in its sprawling empire in 2023, from its Echo Frames smart glasses to Alexa with Generative AI to NFL Thursday Night Games. The company introduced its Bedrock foundational model platform (which will offer AI-generated text and images as a cloud service), launched a series of free AI Ready developer courses and an accelerator program to fund genAI startups, debuted generative tools for filling backgrounds and product listings and now offers a standalone image generator AI to rival DALL-E.

"Inside Amazon, every one of our teams is working on building generative AI applications that reinvent and enhance their customers' experience," CEO Andy Jassy said during the company’s Q2 earnings call in August. "But while we will build a number of these applications ourselves, most will be built by other companies, and we're optimistic that the largest number of these will be built on [Amazon Web Services]. Remember, the core of AI is data. People want to bring generative AI models to the data, not the other way around."

We’re still not ready for the age of AI

Even when it's not being used for obviously nefarious purposes like defrauding the elderly and amplifying political misinformation, generative AI technology has proven immensely disruptive to numerous industries and institutions from logistics and manufacturing to education and healthcare. It has been touted as a replacement for humans in professions ranging from medical imaging, computer programming and accounting to journalism and digital visual arts — in many cases, layoffs have been quick to follow.

This year also saw labor strikes by the Writers Guild of America and the Screen Actors Guild, in part, to prevent their works and likenesses from being used to train future AI models. Independent artists, whose intellectual property has been shamelessly scraped by disreputable firms for model training (looking at you, Stability AI), have had far less success in protecting their works — leading some creators to take drastic and damaging countermeasures.

Data privacy has proven a sticking point for AI companies in 2023. A ChatGPT bug found in March had apparently been sharing chat history titles (and potentially payment data). A trio of Samsung employees inadvertently divulged company secrets when they used ChatGPT to summarize the events of a business meeting in April. Microsoft AI researchers accidentally uploaded 38TB of company data to an open access Azure web folder in September, right around the time it was discovered that Google had been unknowingly leaking users’ Bard conversations into its general search results. As recently as November security researchers were finding that even “silly” attacks like telling ChatGPT to repeat the word “poem” ad infinitum would trick the system into revealing personally identifiable information.

The institutional response to these growing issues was tepid to start the year, mostly school districts, government agencies and Fortune 500 companies restricting use of chatbot AIs by their employees (and students). These initial efforts proved largely ineffective, due to the difficulty in actually enforcing them. The federal government's regulatory efforts are expected to have far more teeth.

The Biden White House has made AI regulation a centerpiece of its administration, developing a “blueprint” for its AI Bill of Rights last October, investing millions into new AI R&D centers for the National Science Foundation, wringing development guardrail concessions from leading AI companies and launching an AI Cyber Challenge, among other efforts. The administration’s most ambitious action came in October when the President issued a sweeping executive order establishing broad protections and best practices regarding user privacy, government transparency and public safety in future AI development by federal contractors. The US Senate and House have both been busy as well this year, holding congressional hearings on federal oversight rules for the AI industry, hosting a pair of AI Safety Summits and drafting legislation (which has yet to receive a vote).

Looking ahead to OpenAI’s 2024 and beyond

It’s OpenAI’s lead to lose heading into the new year. CEO Sam Altman holds firmer control over the company than ever, all dissenting voices on the board calling for caution have been silenced and the company is poised to further expand its operations in 2024 as the technology continues its global advance. I expect to see OpenAI’s competitors make a better showing in the new year with Google, Meta and Amazon spending freely on AI research in order to catch up and surpass the GPT platform.

And even though the entire ChatGPT craze got started with individual users, Paul Silverglate, vice chair of Deloitte LLP, sees the largest gains in 2024 coming from enterprise applications. “Expect to see generative AI integrated into enterprise software, giving more knowledge workers the tools they need to work with greater efficiency and make better decisions,” he wrote in a recent release.

A recent study by McKinsey & Company estimates that the current generation of conversational AI systems “have the potential to automate work activities that absorb 60 to 70 percent of employees’ time” thanks to rapid advancements in natural language processing technology with “half of today’s work activities" potentially being automated away from human hands "between 2030 and 2060." That’s a decade sooner than previously estimated.

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