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.
Elon Musk
Tesla is ramping up its advertising strategy on social media
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
Tesla seems to be ramping up its advertising strategy on social media once again. Marketing and advertising have not been a major focus of Tesla’s, something that has brought some criticism to the company from its fans.
However, the company looks to be making adjustments to that narrative, as it has at times in the past, as ads were spotted on several different platforms over the past few days.
On Facebook and YouTube, ads were spotted that were evidently placed by Tesla. On Facebook, Tesla was advertising Full Self-Driving, and on YouTube, an ad for its Energy Division was spotted:
Tesla also threw up some ads on YouTube for Energy https://t.co/19DGQMjBsA pic.twitter.com/XQRfgaDKxY
— TESLARATI (@Teslarati) March 9, 2026
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
In 2022, Tesla’s U.S. ad spend was roughly $152,000, a rounding error compared to General Motors’ $3.6 billion the following year.
Traditional automakers averaged about $495 per vehicle on ads; Tesla spent $0. CEOElon Musk’s stance was explicit: “Tesla does not advertise or pay for endorsements,” he posted on X in 2019. “Instead, we use that money to make the product great.”
The strategy relied on word-of-mouth from delighted owners, Elon’s massive X following, viral product launches, media frenzy, and customer referrals. A great product, Musk argued, sells itself. It does not need Super Bowl spots or billboards. Resources poured into R&D instead, with Tesla investing nearly $3,000 per car, far more than rivals.
Tesla counters jab at lack of advertising with perfect response
This reluctance wasn’t arrogance; it was philosophy, and Musk made it clear that the money was better spent on the product. Heavy spending on ads was seen as wasteful when innovation and authenticity drove organic demand. Shareholder calls for marketing budgets were ignored.
The current shift, paid Facebook ads promoting Full Self-Driving (Supervised) and YouTube Shorts offering up to $1,000 back on Powerwall batteries, marks a pragmatic evolution.
These targeted campaigns coincide with the end of one-time FSD purchases and a March 31 deadline for FSD transfer eligibility on new vehicles.
This move likely signals Tesla adapting to scale, as well as a more concerted effort to stop misinformation regarding its platform. As EV competition intensifies and the company bets big on robotaxis and energy storage, pure organic buzz may not suffice to hit adoption targets. Selective digital ads allow precise, cost-effective reach without abandoning core principles.
If successful, it could foreshadow measured expansion into marketing, boosting high-margin software and home energy revenue while preserving Tesla’s innovative edge. But, it’s nice to see the strategy return, especially as Tesla has been reluctant to change its mind in the past.
News
Tesla Model Y outsells everything in three states, but Ford dominates
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
The Tesla Model Y was the best-selling vehicle in three different states in the U.S. last year, according to new data that shows the all-electric crossover outsold every other car in a few places. However, Ford widely dominated the sales figures with its popular F-Series of pickups.
According to new vehicle registration data compiled by Edmunds and visualized by Visual Capitalist, the Ford F-Series, encompassing models like the F-150, F-250, F-350, and F-450, claimed the title of best-selling vehicle in 29 states.
This dominance underscores the pickup truck’s unbreakable appeal across much of the country, particularly in rural, Midwestern, Southern, and Western states, where towing capacity, durability, and utility for work or recreation remain top priorities.
The Tesla Model Y is the best-selling vehicle in California, Washington, and Nevada
How many states will it dominate next year? https://t.co/ERyoyce42D
— TESLARATI (@Teslarati) March 9, 2026
The F-Series has held the crown as America’s overall best-selling vehicle for decades, a streak that continued strong into 2025 despite broader market shifts.
Yet, amid this truck-heavy reality, Tesla made a notable breakthrough. The Model Y emerged as the top-selling vehicle, not just the leading EV, but the outright best-seller in three key states: California, Nevada, and Washington.
These West Coast strongholds reflect regions with robust EV infrastructure, high environmental awareness, generous incentives, and tech-savvy populations. In California alone, nearly 50 percent of new vehicle registrations were electrified, far outpacing the national average of around 25 percent.
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
Elsewhere, Japanese crossovers filled many gaps: Toyota’s RAV4 and Honda’s CR-V topped charts in several urban and densely populated Northeastern and Midwestern states, where fuel efficiency, reliability, and family-friendly features win out over larger trucks.
While Ford’s broad reach shows traditional preferences persist, at least for now, Tesla’s Model Y victories in high-population, influential states signal a gradual but undeniable transition toward electrification. As charging networks expand and battery technology improves, more states could follow the West Coast’s lead in the coming years.
This 2025 map captures a pivotal moment: pickup trucks still rule the majority, but EVs are carving out meaningful territory where consumer priorities align with sustainability and innovation. The road ahead promises continued competition between legacy giants and electric disruptors.
Elon Musk
Elon Musk shares updated Starship V3 maiden launch target date
The comment was posted on Musk’s official account on social media platform X.
SpaceX CEO Elon Musk shared a brief Starship V3 update in a post on social media platform X, stating the next launch attempt of the spacecraft could take place in about four weeks.
The comment was posted on Musk’s official account on social media platform X.
Musk’s update suggests that Starship Flight 12 could target a launch around early April, though the schedule will depend on several remaining milestones at SpaceX’s Starbase launch facility in Texas.
Among the key steps is testing and certification of the site’s new launch tower, launch mount, and tank farm systems. These upgrades will support the next generation of Starship vehicles.
Booster 19 is expected to roll to the launch site and be placed on the launch mount before returning to the production facility to receive its 33 Raptor engines. The booster would then return for a static fire test, which could mark the first time a Super Heavy booster equipped with Raptor V3 engines is fired on the pad.
Ship 39 is expected to undergo a similar preparation process. The vehicle will likely return to the production site to receive its six engines before heading to Massey’s test site for static fire testing.
Once both stages are prepared, the booster and ship will roll out to the launch site for the first full stack of a V3 Super Heavy and V3 Starship. A full wet dress rehearsal is expected to follow before any launch attempt.
Elon Musk has previously shared how SpaceX plans to eventually recover Starship’s upper stage using the launch tower’s robotic arms. Musk noted that the company will only attempt to catch the Starship spacecraft after two successful soft landings in the ocean. The approach is intended to reduce risk before attempting a recovery over land.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk wrote in a post on X.
Such a milestone would represent a major step toward the full reuse of the Starship system, which remains a central goal for SpaceX’s long-term launch strategy.
Tesla is ramping up its advertising strategy on social media
Tesla Model Y outsells everything in three states, but Ford dominates
