GOOGLE

How Niantic evolved Pokémon GO for the year no one could go anywhere

Published

3 years ago

December 28, 2020

how niantic evolved pokemon go for the year no one could go anywhere

Pokémon GO was created to encourage players to explore the world while coordinating impromptu large group gatherings — activities we’ve all been encouraged to avoid since the pandemic began.

And yet, analysts estimate that 2020 was Pokémon GO’s highest-earning year yet.

By twisting some knobs and tweaking variables, Pokémon GO became much easier to play without leaving the house.

Niantic’s approach to 2020 was full of carefully considered changes, and I’ve highlighted many of their key decisions below.

Consider this something of an addendum to the Niantic EC-1 I wrote last year, where I outlined things like the company’s beginnings as a side project within Google, how Pokémon Go began as an April Fools’ joke and the company’s aim to build the platform that powers the AR headsets of the future.

Hit the brakes

On a press call outlining an update Niantic shipped in November, the company put it on no uncertain terms: the roadmap they’d followed over the last ten-or-so months was not the one they started the year with. Their original roadmap included a handful of new features that have yet to see the light of day. They declined to say what those features were of course (presumably because they still hope to launch them once the world is less broken) — but they just didn’t make sense to release right now.

Instead, as any potential end date for the pandemic slipped further into the horizon, the team refocused in Q1 2020 on figuring out ways to adapt what already worked and adjust existing gameplay to let players do more while going out less.

Turning the dials

As its name indicates, GO was never meant to be played while sitting at home. John Hanke’s initial vision for Niantic was focused around finding ways to get people outside and playing together; from its very first prototype, Niantic had players running around a city to take over its virtual equivalent block by block. They’d spent nearly a decade building up a database of real-world locations that would act as in-game points meant to encourage exploration and wandering. Years of development effort went into turning Pokémon GO into more and more of a social game, requiring teamwork and sometimes even flash mob-like meetups for its biggest challenges.

Now it all needed to work from the player’s couch.

The earliest changes were those that were easiest for Niantic to make on-the-fly, but they had dramatic impacts on the way the game actually works.

Some of the changes:

Doubling the players “radius” for interacting with in-game gyms, landmarks that players can temporarily take over for their in-game team, earning occupants a bit of in-game currency based on how long they maintain control. This change let more gym battles happen from the couch.
Increasing spawn points, generally upping the number of Pokémon you could find at home dramatically.
Increasing “incense” effectiveness, which allowed players to use a premium item to encourage even more Pokémon to pop up at home. Niantic phased this change out in October, then quietly reintroduced it in late November. Incense would also last twice as long, making it cheaper for players to use.
Allowing steps taken indoors (read: on treadmills) to count toward in-game distance challenges.
Players would no longer need to walk long distances to earn entry into the online player-versus-player battle system.
Your “buddy” Pokémon (a specially designated Pokémon that you can level up Tamagotchi-style for bonus perks) would now bring you more gifts of items you’d need to play. Pre-pandemic, getting these items meant wandering to the nearby “Pokéstop” landmarks.

By twisting some knobs and tweaking variables, Pokémon GO became much easier to play without leaving the house — but, importantly, these changes avoided anything that might break the game while being just as easy to reverse once it became safe to do so.

GO Fest goes virtual

Like this, just … online. Image Credits: Greg Kumparak

Thrown by Niantic every year since 2017, GO Fest is meant to be an ultra-concentrated version of the Pokémon GO experience. Thousands of players cram into one park, coming together to tackle challenges and capture previously unreleased Pokémon.

TechCrunch

Up Next

AMP Under Fire in New Antitrust Lawsuit Against Google

Don't Miss

The Best Laptops Of 2020…And Other Small Business Tech News

GOOGLE

Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches

Published

13 hours ago

December 4, 2023

Max

In an unexpected turn of events, Google has chosen to postpone the much-anticipated debut of its revolutionary generative AI model, Gemini. Initially poised to make waves this week, the unveiling has now been rescheduled for early next year, specifically in January.

Gemini is set to redefine the landscape of conversational AI, representing Google’s most potent endeavor in this domain to date. Positioned as a multimodal AI chatbot, Gemini boasts the capability to process diverse data types. This includes a unique proficiency in comprehending and generating text, images, and various content formats, even going so far as to create an entire website based on a combination of sketches and written descriptions.

Originally, Google had planned an elaborate series of launch events spanning California, New York, and Washington. Regrettably, these events have been canceled due to concerns about Gemini’s responsiveness to non-English prompts. According to anonymous sources cited by The Information, Google’s Chief Executive, Sundar Pichai, personally decided to postpone the launch, acknowledging the importance of global support as a key feature of Gemini’s capabilities.

Gemini is expected to surpass the renowned ChatGPT, powered by OpenAI’s GPT-4 model, and preliminary private tests have shown promising results. Fueled by significantly enhanced computing power, Gemini has outperformed GPT-4, particularly in FLOPS (Floating Point Operations Per Second), owing to its access to a multitude of high-end AI accelerators through the Google Cloud platform.

SemiAnalysis, a research firm affiliated with Substack Inc., expressed in an August blog post that Gemini appears poised to “blow OpenAI’s model out of the water.” The extensive compute power at Google’s disposal has evidently contributed to Gemini’s superior performance.

Google’s Vice President and Manager of Bard and Google Assistant, Sissie Hsiao, offered insights into Gemini’s capabilities, citing examples like generating novel images in response to specific requests, such as illustrating the steps to ice a three-layer cake.

While Google’s current generative AI offering, Bard, has showcased noteworthy accomplishments, it has struggled to achieve the same level of consumer awareness as ChatGPT. Gemini, with its unparalleled capabilities, is expected to be a game-changer, demonstrating impressive multimodal functionalities never seen before.

During the initial announcement at Google’s I/O developer conference in May, the company emphasized Gemini’s multimodal prowess and its developer-friendly nature. An application programming interface (API) is under development, allowing developers to seamlessly integrate Gemini into third-party applications.

As the world awaits the delayed unveiling of Gemini, the stakes are high, with Google aiming to revolutionize the AI landscape and solidify its position as a leader in generative artificial intelligence. The postponed launch only adds to the anticipation surrounding Gemini’s eventual debut in the coming year.

GOOGLE

Google Brings Bard Students Math and Coding Education in the Summer

Published

6 months ago

June 8, 2023

Entireweb News Bot

$Google Brings Bard Students Math and Coding Education in the Summer$

Google is stepping up its AI efforts this summer by sending Bard, its high-profile chatbot, to summer school. The aim? To boost the bot’s math and coding smarts. These developments are excellent news— when Bard first debuted, it was admittedly not a finished product. But Google is steadily plugging away at it, and have now implemented implicit code execution for logical prompts, and handy Google Sheets’ integration to take it to the next level.

Thanks to implicit code execution, Bard can respond to inquiries requiring calculation or computation with Python code snippets running in the background. What’s even more amazing is that coders can take this generated code and modify it for their projects. Though Google is still apprehensive about guaranteeing the accuracy of Bard’s answers, this feature is said to improve the accuracy of math and word problems by an impressive 30%.

In addition to this, Bard can now export directly to Sheets when asked about tables. So, you don’t need to worry about copying and pasting, which comes with the risk of losing formatting or data.

From the company’s I/O keynote address, it is clear that they are focused on making the most of what Bard can offer. As they continue to speak highly of the chatbot, we’re sure to expect more features and capabilities when the summer comes around.

GOOGLE

Google Bard vs. ChatGPT: which is the better AI chatbot?

Published

10 months ago

February 20, 2023

Entireweb News Bot

Google Bard vs. ChatGPT: which is the better AI chatbot?

Google Bard and ChatGPT are two of the most prominent artificial intelligence (AI) chatbots available in 2023. But which is better? Both offer natural language responses to natural language inputs, using machine learning and millions of data points to craft useful, informative responses. Most of the time. These AI tools aren’t perfect yet, but they point to an exciting future of AI assistant search and learning tools that will make information all the more readily available.

As similar as these chatbots are, they also have some distinct differences. Here’s how ChatGPT and Google Bard measure up against one another.

Which is better, Google Bard or ChatGPT?

This is a tricky question to answer, as at the time of writing, you can only use Google Bard if you’re part of a select group of early beta testers. As for its competition, you can use ChatGPT right now, completely for free. You may have to contend with a waitlist, but if you want to skip that, there’s a paid-for Plus version offering those interested in a more complete tool the option of paying for the privilege.

Still, when Google Bard becomes more widely available, it should offer credible competition for ChatGPT. Both use natural language models — Google Bard uses Google’s internal LaMDA (Language Model for Dialogue Applications), whereas ChatGPT uses an older GPT-3 language model. Google Bard bases its responses to questions on more recent data, with ChatGPT mainly trained on data that was available prior to 2021. This is similar to how Microsoft’s Bing Chat works.

We’ll have to reserve judgment on which is the more capable AI chatbot until we get time to play with Google Bard ourselves, but it looks set to be a close contest when it is more readily available.

Are Google Bard and ChatGPT available yet?

As mentioned, ChatGPT is available in free and paid-for tiers. You might have to sit in a queue for the free version for a while, but anyone can play around with its capabilities.

Google Bard is currently only available to limited beta testers and is not available to the wider public.

Banner of Google Bard intro from February 6.

What’s the difference between Google Bard and ChatGPT?

ChatGPT and Google Bard are very similar natural language AI chatbots, but they have some differences, and are designed to be used in slightly different ways — at least for now. ChatGPT has been used for answering direct questions with direct answers, mostly correctly, but it’s caused a lot of consternation among white collar workers, like writers, SEO advisors, and copy editors, since it has also demonstrated an impressive ability to write creatively — even if it has faced a few problems with accuracy and plagiarism.

Still, Microsoft has integrated ChatGPT into its Bing search engine to give users the ability to ask direct questions of the search engine, rather than searching for terms of keywords to find the best results. It has also built it into its Teams communications tool, and it’s coming to the Edge browser in a limited form. The Opera browser has also pledged to integrate ChatGPT in the future.

ChatGPT	Google Bard
Accessible through ChatGPT site. Only text responses are returned via queries.	Integrated with Google Search. You only need to change a Google setting to get your regular search results when using Google Bard AI, and vice versa.
ChatGPT produces answers from its trained database from 2021 and before.	Google Apprentice Bard AI will be able to answer real-time questions.
Based on GPT (Generative Pre-trained Transformer).	Based on LaMDA (Language Model for Dialogue Applications).
Service has a free and paid plan option (called ChatGPT Plus).	Service is free.
Has built-in plagiarism tool called GPT-2 Output Detector.	No built-in plagiarism detection tool.
Available now	Still in beta test phase

Google Bard was mainly designed around augmenting Google’s own search tool, however it is also destined to become an automated support tool for businesses without the funds to pay for human support teams. It will be offered to customers through a trained AI responder. It is likely to be integrated into the Chrome browser and its Chromium derivatives before long. Google is also expected to open up Google Bard to third-party developers in the future.

Under the hood, Google Bard uses Google’s LaMDA language model, while ChatGPT uses its own GPT3 model. ChatGPT is based on slightly older data, restricted in its current GPT3 model to data collected prior to 2022, while Google Bard is built on data provided on recent years too. However, that doesn’t necessarily make it more accurate, as Google Bard has faced problems with incorrect answers to questions, even in its initial unveiling.

ChatGPT also has a built-in plagiarism checker, while Google Bard does not, but Google Bard doesn’t have the creative applications of ChatGPT just yet.