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Google wants to make “good” AI with your help

Google office in Zurich [Credit: Google]

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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 rolling out Robotaxi pilot in SF Bay Area this weekend: report

Similar to the Austin pilot, the Robotaxi rides will reportedly be a paid service.

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Credit: @AdanGuajardo/X

Tesla is reportedly preparing to launch a Robotaxi pilot program in the Bay Area this weekend, with invites to a select number of customers reportedly being sent out as early as this Friday.

The update was shared in a report from Insider, which cited an internal memo from the electric vehicle maker.

New Robotaxi service launch

According to Insider, the Robotaxi service in the Bay Area is set to launch as soon as Friday. Thus, some Tesla owners in the area should receive invites to use the driverless ride-hailing service. Similar to the Austin pilot, the Robotaxi rides will reportedly be a paid service.

The publication noted that the Robotaxi service’s geofence in its Bay Area launch will be quite large, as it will include Marin, much of the East Bay, San Francisco, and San Jose. This is not surprising as California has long been saturated with Teslas, and it is home to several of the electric vehicle maker’s key facilities.

Unlike the Austin pilot, the Tesla Robotaxi service’s pilot in the Bay Area will use safety drivers seated in the driver’s seat. These drivers will be able to manually take over using the steering wheel and brakes as needed. As per a spokesperson from the California DMV, the agency recently met with Tesla but the company is yet to submit a formal application to operate fully driverless cars. 

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Tesla Robotaxi expansion

Interestingly enough, Tesla did tease the release of its Robotaxi service to the Bay Area in its second quarter earnings call. While discussing the service, Tesla VP of Autopilot/AI Software Ashok Elluswamy mentioned that the company will initially be rolling out Robotaxis with safety drivers in the San Francisco Bay Area. He did, however, also highlight that the electric vehicle maker is working hard to get government permission to release the service for consumers.

“The next thing to expand would be in the San Francisco Bay Area. We are working with the government to get approval here and, in the meanwhile, launch the service without the person in the driver seat just to expedite and while we wait for regulatory approval,” he stated.

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Tesla is ready with a perfect counter to the end of US EV tax credits

Tesla executives have mentioned that these more affordable models would resemble the company’s current lineup.

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Credit: Tesla Asia/X

The United States’ electric vehicle tax credit is coming to an end at the end of the third quarter. Tesla, the country’s leading electric vehicle maker, is ready to meet this challenge with a rather simple but clever counter. 

Tesla executives outlined this strategy in the recently held Q2 2025 earnings call.

End of the US EV tax credit

While Elon Musk has always maintained that he prefers a market with no EV tax credit, he also emphasized that he supports the rollback of any incentives given to the oil and gas industry. The Trump administration has not done this so far, instead focusing on the expiration of the $7,500 EV tax credit at the end of the third quarter.

Tesla has been going all-in on encouraging customers to purchase their vehicles in Q3 to take advantage of lower prices. The company has also implemented a series of incentives across all its offerings, from the Cybertruck to the Model 3. This, however, is not all, as the company seems to be preparing a longer-term solution to the expiration of the EV tax credit.

Affordable variants

During the Q2 2025 earnings call, Vice President of Vehicle Engineering Lars Moray stated that Tesla really did start the production of more affordable models in June. Quality builds of these vehicles are being ramped this quarter, with the goal of optimizing production over the remaining months of the year. If Tesla is successful, these models will be available for everyone in Q4. 

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“We started production in June, and we’re ramping quality builds and things around the quarter. And given that we started in North America and our goal is to maximize production with a higher rate. So starting Q3, we’re going to keep pushing hard on our current models to avoid complexity… We’ll be ready with new, more affordable models available for everyone in Q4.,” Moravy stated. 

These comments suggest that Tesla should be able to offer vehicles that are competitively priced even after the EV tax credit has been phased out. Interestingly enough, previous comments from Tesla executives have mentioned that these more affordable models would resemble the company’s current lineup. This suggests that the more affordable models may indeed be variations of the Model Y and Model 3, but offered at a lower price.

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Elon Musk

Elon Musk reveals Tesla’s next Robotaxi expansion in more ways than one

Tesla Robotaxi is growing in more ways than one. Tesla wants to expand and hopes to reach half the U.S. population by the end of the year.

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Credit: Tesla

Tesla CEO Elon Musk revealed the company’s plans for its next expansion of the Robotaxi in terms of both the geofence in Austin and the platform overall, as it looks to move to new areas outside of Texas.

Tesla launched the Robotaxi platform last month on June 22, and has since expanded both the pool of users and the area that the driverless Model Y vehicles can travel within.

The first expansion of the geofence caught the attention of nearly everyone and became a huge headline as Tesla picked a very interesting shape for the new geofence, resembling male reproductive parts.

The next expansion will likely absolve this shape. Musk revealed last night that the new geofence will be “well in excess of what competitors are doing,” and it could happen “hopefully in a week or two.”

Musk’s full quote regarding the expansion of the geofence and the timing was:

“As some may have noted, we have already expanded our service area in Austin. It’s bigger and longer, and it’s going to get even bigger and longer. We are expecting to greatly increase the service area to well in excess of what competitors are doing, hopefully in a week or two.”

The expansion will not stop there, either. As Tesla has operated the Robotaxi platform in Austin for the past month, it has been working with regulators in other areas, like California, Arizona, Nevada, and Florida, to get the driverless ride-hailing system activated in more U.S. states.

Tesla confirmed that they are in talks with each of these states regarding the potential expansion of Robotaxi.

Musk added:

“As we get the approvals and prove out safety, we will be launching the autonomous ride-hailing across most of the country. I think we will probably have autonomous ride-hailing in probably half the population of the US by the end of the year.”

We know that Tesla and Musk have been prone to aggressive and sometimes outlandish timelines regarding self-driving technology specifically. Regulatory approvals could happen by the end of the year in several areas, and working on these large metros is the best way to reach half of the U.S. population.

Tesla said its expansion of the geofence in Austin is conservative and controlled due to its obsession with safety, even admitting at one point during the Earnings Call that they are being “paranoid.” Expanding the geofence is necessary, but Tesla realizes any significant mistake by Robotaxi could take it back to square one.

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