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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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Cybertruck

Tesla Cybertruck undergoes interior mod that many owners wanted

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tesla cybertruck diy bench seat
Credit: @blueskykites | X

Tesla Cybertruck is significantly different from traditional pickups on the market in a lot of ways. However, one feature that was recently modified with its interior was a highly requested characteristic that is present in other trucks, but was void from Cybertruck.

Tesla went with a five-seat configuration with Cybertruck: two in the front and three in the back. The spacious interior is matched with plenty of storage, especially up front, as a pass-through, center console, and other storage options, but some Tesla fans wanted something different: bench seating.

Bench seating is popular in many full-size pickups and allows three passengers to sit up front. The middle seat is usually accompanied by a fold-down storage unit with cupholders.

Tesla decided to opt for no bench seating up front, despite the fact that it equipped bench seating in the unveiling in 2019. Interior photos from the unveiling event from nearly six-and-a-half years ago show Tesla had originally planned to have a six-seat configuration.

This was adjusted after the company refined the design:

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tesla cybertruck initial interior

(Tesla Cybertruck interior configuration in 2019)

Despite Tesla abandoning this design, it does not mean owners were willing to accept it. One owner decided to modify their Tesla Cybertruck interior to equip that third seat between the driver’s and passenger’s thrones.

The fit is snug, and while it looks great, it is important to remember that this does not abide byregulations, as it would require an airbag to be technically legal. Please do not do this at home with your own Cybertruck:

The Cybertruck is a popular vehicle in terms of publicity, but its sales have been underwhelming since first delivered to customers back in 2023. It’s hard to believe it’s been out for two-and-a-half years, but despite this, Tesla has not been able to come through on its extensive order sheet.

This is mostly due to price, as Cybertruck was simply not as affordable as Tesla originally planned. Its three configurations were initially priced at $39,990, $49,990, and $69,990. At release, Cybertruck was priced above $100,000.

This priced out many of those who had placed orders, which is the main reason Cybertruck has not lived up to its expectations in terms of sales. The adjustments to the specific features, like the removal of the bench seat, likely did not impact sales as much as pricing did.

This modification shows some creativity by Tesla owners, but also shows that the Cybertruck could always be the subject of a potential refresh to include some of these features. Tesla routinely adjusts its vehicle designs every few years, so maybe the Cybertruck could get something like this if it chooses to refresh its all-electric pickup.

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Elon Musk

Tesla CEO Elon Musk drops massive bomb about Cybercab

“And there is so much to this car that is not obvious on the surface,” Musk said.

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Credit: Tesla

Tesla CEO Elon Musk dropped a massive bomb about the Cybercab, which is the company’s fully autonomous ride-hailing vehicle that will enter production later this year.

The Cybercab was unveiled back in October 2024 at the company’s “We, Robot” event in Los Angeles, and is among the major catalysts for the company’s growth in the coming years. It is expected to push Tesla into a major growth phase, especially as the automaker is transitioning into more of an AI and Robotics company than anything else.

The Cybercab will enable completely autonomous ride-hailing for Tesla, and although its other vehicles will also be capable of this technology, the Cybercab is slightly different. It will have no steering wheel or pedals, and will allow two occupants to travel from Point A to Point B with zero responsibilities within the car.

Tesla shares epic 2025 recap video, confirms start of Cybercab production

Details on the Cybercab are pretty face value at this point: we know Tesla is enabling 1-2 passengers to ride in it at a time, and this strategy was based on statistics that show most ride-hailing trips have no more than two occupants. It will also have in-vehicle entertainment options accessible from the center touchscreen.

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It will also have wireless charging capabilities, which were displayed at “We, Robot,” and there could be more features that will be highly beneficial to riders, offering a full-fledged autonomous experience.

Musk dropped a big hint that there is much more to the Cybercab than what we know, as a post on X said that “there is so much to this car that is not obvious on the surface.”

As the Cybercab is expected to enter production later this year, Tesla is surely going to include a handful of things they have not yet revealed to the public.

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Musk seems to be indicating that some of the features will make it even more groundbreaking, and the idea is to enable a truly autonomous experience from start to finish for riders. Everything from climate control to emergency systems, and more, should be included with the car.

It seems more likely than not that Tesla will make the Cybercab its smartest vehicle so far, as if its current lineup is not already extremely intelligent, user-friendly, and intuitive.

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Investor's Corner

Tesla Q4 delivery numbers are better than they initially look: analyst

The Deepwater Asset Management Managing Partner shared his thoughts in a post on his website.

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Credit: Tesla Asia/X

Longtime Tesla analyst and Deepwater Asset Management Managing Partner Gene Munster has shared his insights on Tesla’s Q4 2025 deliveries. As per the analyst, Tesla’s numbers are actually better than they first appear. 

Munster shared his thoughts in a post on his website. 

Normalized December Deliveries

Munster noted that Tesla delivered 418k vehicles in the fourth quarter of 2025, slightly below Street expectations of 420k but above the whisper number of 415k. Tesla’s reported 16% year-over-year decline, compared to +7% in September, is largely distorted by the timing of the tax credit expiration, which pulled forward demand.

“Taking a step back, we believe September deliveries pulled forward approximately 55k units that would have otherwise occurred in December or March. For simplicity, we assume the entire pull-forward impacted the December quarter. Under this assumption, September growth would have been down ~5% absent the 55k pull-forward, a Deepwater estimate tied to the credit’s expiration.

For December deliveries to have declined ~5% year over year would imply total deliveries of roughly 470k. Subtracting the 55k units pulled into September results in an implied December delivery figure of approximately 415k. The reported 418k suggests that, when normalizing for the tax credit timing, quarter-over-quarter growth has been consistently down ~5%. Importantly, this ~5% decline represents an improvement from the ~13% declines seen in both the March and June 2025 quarters.

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Tesla’s United States market share

Munster also estimated that Q4 as a whole might very well show a notable improvement in Tesla’s market share in the United States. 

“Over the past couple of years, based on data from Cox Automotive, Tesla has been losing U.S. EV market share, declining to just under 50%. Based on data for October and November, Cox estimates that total U.S. EV sales were down approximately 35%, compared to Tesla’s just reported down 16% for the full quarter.  For the first two months of the quarter, Cox reported Tesla market share of roughly a 65% share, up from under 50% in the September quarter.

“While this data excludes December, the quarter as a whole is likely to show a material improvement in Tesla’s U.S. EV market share.

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