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Google wants to make “good” AI with your help

Google office in Zurich [Credit: Google]

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7 years ago

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As a company with a global presence to the tune of at least a billion people, Google is taking both its immense tech capabilities and social responsibility role very seriously. Namely, it has pledged to provide tangible support to organizations wanting to help address societal challenges using artificial intelligence through its just announced “AI Impact Challenge”. Whether an idea needs coaching, grant funding from a pool of $25 million available, or credit and consulting from cloud services, Google will be there to help.

Towards this effort, the company has already provided an educational guide to machine learning, the primary tool it wants organizations to utilize in its problem-solving. It might seem counterintuitive for a proposer to need training on the very thing it’s proposing, but this is part of the point of Google’s support. To quote Google’s project page directly, “We want people from as many backgrounds as possible to surface problems that AI can help solve, and to be empowered to create solutions themselves…We don’t expect applicants to be AI experts.” Submissions are open until January 22, 2019, and winners will be announced in spring 2019.

Need inspiration for an idea? Or, perhaps, some examples of the kinds of problems that artificial intelligence can help solve? Google’s page dedicated to its “AI for social good” mission has featured projects that are already working towards societally beneficial goals. Here’s a breakdown of some of them:

  • The “Smart Wildfire Sensor” is a device that identifies and predicts areas in a forest that are susceptible to wildfires. To do this, it uses data from tools measuring wind speed, wind direction, humidity, and temperature combined with Google’s open source machine learning tool TensorFlow for photographic analysis of biomass (accumulated fallen branches and trees).
  • Protecting whales from preventable accidents such as entanglement in fishing gear and collisions with vessels is a challenge being addressed using whale songs and machine learning to locate where they’re singing from. The National Oceanic and Atmospheric Administration (NOAA) uses underwater audio recordings to identify and mitigate the presence of dangers in the estimated areas where whales are present. The thousands of hours of recordings accumulated presented a data challenge well suited to Google’s existing sound classification AI to help meet NOAA’s needs with conservation efforts.
  • As a top cause of infant mortality in the world, birth asphyxia is a serious threat needing all the tools available to new parents. Using machine learning trained to recognize the cries of a newborn with this condition, the company Ubenwa has developed a mobile app enabling a recording of a baby’s cry to be uploaded and diagnosed.

“With great power comes great responsibility” is a familiar motto that applies to the state of modern tech just as much as superheroes. For example, the fast-paced field of artificial intelligence brings frequent developments that challenge our security as a society, thus needing caution. However, the massive companies driving the primary innovations being used among the public on a grand scale are one of the larger demonstrations of this where this motto really applies in today’s world.

Google sharply felt the weight of its responsibility recently when its role in assisting the US Department of Defense to analyze drone footage (Project Maven) was revealed. The “Don’t be evil” part of the company’s Code of Conduct at the time appeared to be violated through the military assistance, and renewal of the contract has since been canceled. Google’s further work on its Chinese search engine with censorship in accordance with the communist government’s requirements has also drawn protest from both inside and outside the company. Given this background, a new project focused on doing “good” things for the benefit of society might be seen as possible damage control. The timing might be suspect, but it’s worth noting that, as seen in the projects described above, Google has been working to help with societal needs for quite some time already.

Overall, headlines in recent years have demonstrated just how flexible AI can be when it comes to solving challenges that face our world. While the fears brought on by future “intelligent” computers may have a foundation in reality, it may do us a great amount of good to turn our focus on the hope such technology can also bring. Whatever Google’s motivation is for launching its “AI for social good project”, if good is achieved, it may just be a win for us all.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla’s new Safety Report shows Autopilot is nine times safer than humans

Tesla released its Vehicle Safety Report for Q3 2025, and it showed that one crash was recorded every 6.36 million miles drive in which drivers were using Autopilot technology.

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October 22, 2025

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Credit: Tesla

Tesla’s new Safety Report for Q3 shows Autopilot technology contributed to accident frequency that was nine times lower than the national average.

Tesla released its Vehicle Safety Report for Q3 2025, and it showed that one crash was recorded every 6.36 million miles drive in which drivers were using Autopilot technology.

This is a stark contrast from the most recent data made available by the National Highway Traffic Safety Administration (NHTSA) and Federal Highway Administration (FHWA), which shows there is an automobile crash approximately every 702,000 miles.

The figure for Q3 2025 is slightly lower than the one that Tesla released in Q3 2024, which eclipsed 7 million miles between accidents for drivers using Autopilot technology.

Over the past seven quarters, Q1 has been Tesla’s strongest showing with the Vehicle Safety Report, with Q4 being the weakest. This is usually attributed to weather and driving conditions deteriorating toward the end of the year.

Q1 2024 was Tesla’s best performance so far, with one crash every 7.63 million miles.

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Tesla releases Vehicle Safety Report for Q1 2024

Autopilot and Full Self-Driving have been a major focus of Tesla over the past few years, and recent versions have improved on what has already proven to be an extremely safe way to travel, as long as it is used correctly.

Tesla’s Full Self-Driving (Supervised) suite is a suitable way to allow the vehicle to navigate through any traffic setting and has been widely effective for day-to-day travel. With the data Tesla gets from its use across its vehicle fleet, it gets more refined and more accurate with every passing mile.

The company has teased the potential for completely unsupervised Full Self-Driving releases in the future, but Tesla has to solve autonomy before it can offer anything like that to the public.

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Tesla looks to enter a new continent, new job posting shows

Tesla is present on five of the seven continents: North America, Europe, Asia, South America, and Australia. In South America, Tesla currently operates only in one country, Chile, but is looking to expand to more areas.

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2 hours ago

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October 22, 2025

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Credit: Tesla

Tesla is looking to enter Africa for the first time, launching operations on a new continent and expanding its vehicle business operations.

Tesla is present on five of the seven continents: North America, Europe, Asia, South America, and Australia. In South America, Tesla currently operates only in one country, Chile, but is looking to expand to more areas.

First Tesla Model Y Performance Spotted In Africa

Although the company has not launched anything in Africa, a new job posting indicates that Tesla is looking to launch there for the first time.

According to a new posting on Tesla’s Careers website, it is looking for a full-time Country Sales & Delivery Leader in Casablanca, Morocco:

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“The Country Sales & Delivery Leader is responsible for driving the sales and delivery strategy and daily operations across the country. They will hire and develop the best people leaders and ensure the development of the highest performing teams. The Field Sales & Delivery Leader will take accountability for achieving ambitious sales and delivery targets and ensure the business performs on key success criteria, including but not excluded to market growth, customer satisfaction, operational excellence, and employee deployment and retention. In addition to driving business performance across sales & delivery, the Field Sales & Delivery is expected to act as an ambassador for Tesla in the market, as well as provide critical perspective and guidance on decisions impacting outcomes within their market to increase Tesla’s market share.”

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Back in July, Tesla officially registered its presence in the Moroccan market with the $2.75 million initial capital investment, according to The Habari Network.

The move marked a formal attempt at market entry for the EV maker, and it could signal even more opportunities through its other business operations, like energy.

Morocco is looked at as one of the countries in Africa that is most prone to transition toward EVs, as its government has focused on renewable energy and strategic investments in transportation.

It also has local production advantages, as Renault operates a plant in Morocco.

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Investor's Corner

Tesla investors want answers to these five questions during Q3 Earnings

These are the top five questions that have been asked and voted for by investors of the company, and what we think about them.

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3 hours ago

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October 22, 2025

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Credit: Tesla

Tesla (NASDAQ: TSLA) is preparing to report its earnings for the third quarter of 2025 this afternoon. Investors are looking for answers regarding the Robotaxi launch, energy division, potential future vehicle releases, Optimus, and demand stimulation without the tax credit.

Using the investor platform Say, Tesla allows investors to ask questions for the earnings call.

Tesla Q3 2025 earnings: What analysts expect

These are the top five questions that have been asked and voted for by investors of the company, and what we think about them:

  • What are the latest Robotaxi metrics (fleet size, cumulative miles, rides completed, intervention rates), and when will safety drivers be removed? What are the obstacles still preventing unsupervised FSD from being deployed to customer vehicles?
    • What we think: Tesla should release some metrics about Robotaxi operation, but it has been cryptic about fleet size and other statistics in the past. Additionally, CEO Elon Musk said Safety Drivers should be removed ‘by the end of the year,’ and we imagine this will be reiterated during the call. Regarding Unsupervised FSD, Tesla has stated that safety is its priority moving forward with the FSD rollout and Robotaxi as well.

 

  • What is demand/backlog for Megapack, Powerwall, Solar, or energy storage systems? With the current AI boom, is Tesla planning to supply power to other hyperscalers?
    • What we think: This is perhaps the only question of the five that Tesla will be totally forthcoming with, as it usually does not reveal vehicle plans or data on these earnings calls. However, it will be interesting to see if the company has any plans to supplement the increasing AI plans with its energy products. Energy falls under the radar with a lot of its achievements, so it really could be a major focus of this call if this question gets answered.

 

  • What are the plans for new car models? Will Tesla build compact car models leveraging the unboxed Cybercab platform? Will Tesla build a traditional SUV and pickup truck on the Cybertruck platform?
    • What we think: Tesla does not unveil or release plans about projects on earnings calls, so we doubt there will be much color here from executives. Considering Tesla has put so much weight on autonomy in the U.S., we’re not necessarily convinced it will plan to do much more than Cybercab, and SUV and pickup trucks will likely be built on a different platform as well, if they’re offered at all. Musk isn’t sure about bringing the Model Y L to the U.S. market due to the “advent of self-driving.”

 

  • What are the present challenges in bringing Optimus to market, considering app control software, engineering hardware, training general mobility models, training task-specific models, training voice models, implementing manufacturing, and establishing supply chains?
    • What we think: This will likely be where Tesla teases the capabilities of Optimus Gen 3, and comes up with some sort of rough date where it could show off the new design. Tesla has been using Optimus in its factories and other internal operations, so it’s likely we’ll hear some stories about that as well. Tesla is looking to refine the Optimus design so it is useful and capable in residential applications, and its hands are likely the biggest bottleneck as they are arguably the most crucial part of the product.

 

  • Can you talk about demand stimulation avenues beyond affordability? Given the state of global politics, can Tesla’s brand elevate above the divisiveness and return global perception back to our inspirational roots of ludicrous performance, environmental good, and superior safety?
    • What we think: Tesla is going to flex its new Standard offerings now, and the company has been transparent that Musk’s political involvement will wind down in a timely manner, according to the proxy it released when it revealed his pay package. 
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