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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Tesla’s most affordable car is coming to the Netherlands
The trim is expected to launch at €36,990, making it the most affordable Model 3 the Dutch market has seen in years.
Tesla is preparing to introduce the Model 3 Standard to the Netherlands this December, as per information obtained by AutoWeek. The trim is expected to launch at €36,990, making it the most affordable Model 3 the Dutch market has seen in years.
While Tesla has not formally confirmed the vehicle’s arrival, pricing reportedly comes from a reliable source, the publication noted.
Model 3 Standard lands in NL
The U.S. version of the Model 3 Standard provides a clear preview of what Dutch buyers can expect, such as a no-frills configuration that maintains the recognizable Model 3 look without stripping the car down to a bare interior. The panoramic glass roof is still there, the exterior design is unchanged, and Tesla’s central touchscreen-driven cabin layout stays intact.
Cost reductions come from targeted equipment cuts. The American variant uses fewer speakers, lacks ventilated front seats and heated rear seats, and swaps premium materials for cloth and textile-heavy surfaces. Performance is modest compared with the Premium models, with a 0–100 km/h sprint of about six seconds and an estimated WLTP range near 550 kilometers.
Despite the smaller battery and simpler suspension, the Standard maintains the long-distance capability drivers have come to expect in a Tesla.
Pricing strategy aligns with Dutch EV demand and taxation shifts
At €36,990, the Model 3 Standard fits neatly into Tesla’s ongoing lineup reshuffle. The current Model 3 RWD has crept toward €42,000, creating space for a more competitive entry-level option, and positioning the new Model 3 Standard comfortably below the €39,990 Model Y Standard.
The timing aligns with rising Dutch demand for affordable EVs as subsidies like SEPP fade and tax advantages for electric cars continue to wind down, EVUpdate noted. Buyers seeking a no-frills EV with solid range are then likely to see the new trim as a compelling alternative.
With the U.S. variant long established and the Model Y Standard already available in the Netherlands, the appearance of an entry-level Model 3 in the Dutch configurator seems like a logical next step.
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Tesla Model Y is still China’s best-selling premium EV through October
The premium-priced SUV outpaced rivals despite a competitive field, while the Model 3 also secured an impressive position.
The Tesla Model Y led China’s top-selling pure electric vehicles in the 200,000–300,000 RMB segment through October 2025, as per Yiche data compiled from China Passenger Car Association (CPCA) figures.
The premium-priced SUV outpaced rivals despite a competitive field, while the Model 3 also secured an impressive position.
The Model Y is still unrivaled
The Model Y’s dominance shines in Yiche’s October report, topping the chart for vehicles priced between 200,000 and 300,000 RMB. With 312,331 units retailed from January through October, the all-electric crossover was China’s best-selling EV in the 200,000–300,000 RMB segment.
The Xiaomi SU7 is a strong challenger at No. 2 with 234,521 units, followed by the Tesla Model 3, which achieved 146,379 retail sales through October. The Model Y’s potentially biggest rival, the Xiaomi YU7, is currently at No. 4 with 80,855 retail units sold.


Efficiency kings
The Model 3 and Model Y recently claimed the top two spots in Autohome’s latest real-world energy-consumption test, outperforming a broad field of Chinese-market EVs under identical 120 km/h cruising conditions with 375 kg payload and fixed 24 °C cabin temperature. The Model 3 achieved 20.8 kWh/100 km while the Model Y recorded 21.8 kWh/100 km, reaffirming Tesla’s efficiency lead.
The results drew immediate attention from Xiaomi CEO Lei Jun, who publicly recognized Tesla’s advantage while pledging continued refinement for his brand’s lineup.
“The Xiaomi SU7’s energy consumption performance is also very good; you can take a closer look. The fact that its test results are weaker than Tesla’s is partly due to objective reasons: the Xiaomi SU7 is a C-segment car, larger and with higher specifications, making it heavier and naturally increasing energy consumption. Of course, we will continue to learn from Tesla and further optimize its energy consumption performance!” Lei Jun wrote in a post on Weibo.
Elon Musk
SpaceX’s Starship program is already bouncing back from Booster 18 fiasco
Just over a week since Booster 18 met its untimely end, SpaceX is now busy stacking Booster 19, and at a very rapid pace, too.
SpaceX is already bouncing back from the fiasco that it experienced during Starship Booster 18’s initial tests earlier this month.
Just over a week since Booster 18 met its untimely end, SpaceX is now busy stacking Booster 19, and at a very rapid pace, too.
Starship V3 Booster 19 is rising
As per Starbase watchers on X, SpaceX rolled out the fourth aft section of Booster 19 to Starbase’s MegaBay this weekend, stacking it to reach 15 rings tall with just a few sections remaining. This marks the fastest booster assembly to date at four sections in five days. This is quite impressive, and it bodes well for SpaceX’s Starship V3 program, which is expected to be a notable step up from the V2 program, which was retired after a flawless Flight 11.
Starship watcher TankWatchers noted the tempo on X, stating, “During the night the A4 section of Booster 19 rolled out to the MegaBay. With 4 sections in just 5 days, this is shaping up to be the fastest booster stack ever.” Fellow Starbase watcher TestFlight echoed the same sentiments. “Booster 19 is now 15 rings tall, with 3 aft sections remaining!” the space enthusiast wrote.
Aggressive targets despite Booster 18 fiasco
SpaceX’s V3 program encountered a speed bump earlier this month when Booster 18, just one day after rolling out into the factory, experienced a major anomaly during gas system pressure testing at SpaceX’s Massey facility in Starbase, Texas. While no propellant was loaded, no engines were installed, and no one was injured in the incident, the unexpected end of Booster 18 sparked speculation that the Starship V3 program could face delays.
Despite the Booster 18 fiasco, however, SpaceX announced that “Starship’s twelfth flight test remains targeted for the first quarter of 2026.” Elon Musk shared a similar timeline on X earlier this year, with the CEO stating that “ V3 is a massive upgrade from the current V2 and should be through production and testing by end of year, with heavy flight activity next year.”
Considering that Booster 19 seems to be moving through its production phases quickly, perhaps SpaceX’s Q1 2026 target for Flight 12 might indeed be more than feasible.
