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.
News
Tesla begins deliveries of its affordable Model Y Standard
The ‘Standard’ Model Y is now getting ready to fall into customer hands, according to some owners, who are preparing for or have already taken delivery of the new model.
Tesla has officially started deliveries of the affordable Model Y ‘Standard’ less than three weeks after the company launched it on October 8.
Following the loss of the $7,500 electric vehicle tax credit, Tesla launched the Model 3 and Model Y ‘Standard’ trims, both coming in at sub-$40,000 starting prices, but being stripped of many of the features that come in the ‘Premium’ configuration levels.
Tesla launches two new affordable models with ‘Standard’ Model 3, Y offerings
The vehicles are Tesla’s answer to the loss of the tax credit, which was phased out by the Trump Administration. Tesla said it has been developing these models for over a year, as it revealed in early 2024 that it was working to create new vehicles that would be more affordable.
It also said it was developing vehicles to be built on a new-generation platform, which is a likely reference to the Cybercab, which has also been spotted at both Gigafactory Texas and the Fremont Factory.
The ‘Standard’ Model Y is now getting ready to fall into customer hands, according to some owners, who are preparing for or have already taken delivery of the new model:
Delivery day fr fr 🤙🏽 https://t.co/2xHAqjgL50 pic.twitter.com/OkKLZRJlJk
— TESBROS (@teslabros) October 21, 2025
Tesla slated deliveries for November when the two vehicles launched on October 8, but that seems to be an underpromise and overdeliver type of situation.
The new features for the Model Y include:
- New athletically tuned exterior and new alloy wheels to improve aerodynamics
- 15.4″ touchscreen in the front, the same as the other trims
- Available in three colors: Stealth Grey (free), White ($1,oo0 extra), Diamond Black ($1,500 extra)
- Textile and vegan leather interior
- Range sits at 321 miles
- New front fascia
- Covered glass roof (textile on inside)
- Windows are not acoustically laminated for a quieter cabin
- Manual mirrors and seats
- Smaller frunk
- No rear infotainment screen
- No basic Autopilot
- 69 kWh battery
- New 19″ Aperture wheels
- 0-60 MPH in 6.8 seconds
- 7 speaker stereo, down from 15 speakers in premium models
@teslarati 🚨 Tesla’s Affordable Models are here! Let’s talk about them! #tesla #fyp #viral #teslaev #elonmusk ♬ Natural Emotions – Muspace Lofi
Investor's Corner
Tesla analyst says this common earnings narrative is losing importance
“Numbers are going down next year, but that’s ok because it’s all about autonomy.”
A Tesla (NASDAQ: TSLA) analyst is doubling down on the idea that one common earnings narrative is losing importance as the company continues to work toward new technologies and projects.
This week, Tesla will report earnings for the third quarter, and one thing people always pay attention to is deliveries. Although Tesla reveals its deliveries for the quarter well before it reports earnings, many investors will look for commentary regarding the company’s strategy for responding to the loss of the $7,500 tax credit.
Tesla has made a few moves already, including a lease deal that takes a substantial amount of money off, launching new Standard models, and cutting up to 23 percent off of lease pricing.
Tesla makes crazy move to spur short-term demand in the U.S.
However, analysts are looking at the company in a different light.
Aligning with the narrative that Tesla is not just a car company and has many different projects, Gene Munster of Deepwater Asset Management believes many investors need to look at another part of the business.
Munster said the delivery figures for Q3, which landed at 497,099, the highest in company history, were padded by customers rushing to showrooms to take advantage of the expiring tax credit.
He believes that deliveries will be more realistic in subsequent quarters, but investors should not worry because the focus on Tesla is not going to be on how many cars it hands over to customers:
“Numbers are going down next year, but that’s ok because it’s all about autonomy.”
Here’s the $TSLA preview. Numbers are going down next year, but that’s ok because it’s all about autonomy. pic.twitter.com/mUb9scFtCA
— Gene Munster (@munster_gene) October 17, 2025
Tesla has been working nonstop to roll out a dedicated Robotaxi platform in various cities across the United States, and has already launched in two states: Texas and California.
It has also received regulatory approvals to test driverless Robotaxis in Arizona and Nevada, while seeking permissions in Florida and other states, according to the company’s online job postings.
Munster continued:
“Most people are hyper-focused on the Robotaxi opportunity and not focused as much on FSD.”
While Robotaxi is incredibly important, Tesla’s Full Self-Driving (Supervised) suite is also extremely crucial moving forward, as it sets the stage for the company to roll out a formidable self-driving service.
Tesla rolled out its newest FSD software to more owners last night, and as it expands, the company is gaining valuable data to refine its performance.
Earnings will be reported tomorrow at market close.
News
Tesla rolled out a new feature with FSD v14 to fix a major complaint
One of the most crucial cameras for FSD operation is located at the top of the windshield, and some owners have complained about condensation or other debris accumulating here, which impacts FSD’s availability during drives.
Tesla rolled out a new feature with Full Self-Driving (Supervised) v14.1.3 in an effort to fix a major complaint from owners.
Tesla’s approach to self-driving is significantly different than other companies as it only relies on cameras for operation. Tesla Vision was launched several years ago and completely axed any reliance the suite had on sensors, as CEO Elon Musk’s strategy was unorthodox and went against the grain.
However, it has proven to be effective, as Tesla still operates the most refined semi-autonomous driving suite in the United States.
There are some drawbacks, though, and one of them has to do with the obvious: cameras get dirty and need to be cleaned somewhat regularly.
One of the most crucial cameras for FSD operation is located at the top of the windshield, and some owners have complained about condensation or other debris accumulating here, which impacts FSD’s availability during drives:
Image Credit: The Kilowatts/Twitter
Tesla has been working to confront this issue, and in classic fashion, it used a software update to work on resolving it.
With the rollout of Full Self-Driving v14.1.3 and Software Version 2025.32.8.15, Tesla added a new feature that aims to clean the front camera efficiently without relying on the owner to do it manually.
Tesla Full Self-Driving’s new version officially gets a wider rollout
In its release notes for the suite, it said:
“Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.”
If the camera starts to have some issues with visibility, the car will automatically clean the front windshield camera to avoid any issues:
Tonight was the first time I experienced the new @Tesla FSD V14 windshield wiper front camera self-cleaning feature.
Tesla: “Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher speed.” pic.twitter.com/Pu0vRa3tDx
— Sawyer Merritt (@SawyerMerritt) October 21, 2025
This new addition is a small but mighty change considering all things. It is a necessary process to keep things operational and avoid any disruptions in FSD performance. It is also a testament to how much better Tesla vehicles can get with a simple software update.
Tesla begins deliveries of its affordable Model Y Standard
Tesla analyst says this common earnings narrative is losing importance
Tesla rolled out a new feature with FSD v14 to fix a major complaint
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