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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.

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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.

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 gives HW3 owners another massive update

It was an “at last” moment for HW 3 owners, who have waited for an update on the capabilities of their vehicles for some time. After CEO Elon Musk finally admitted last week that the HW3 vehicles would not be capable of unsupervised FSD, it appears Tesla is bringing a new, more transparent tone to those owners.

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tesla model 3 china
Credit: Tesla Asia/Twitter

Tesla is giving Hardware 3 vehicle owners another massive update, the second major communication the company has given to those drivers after what seemed like years of being left out to dry.

The company, which plans to launch a Full Self-Driving version 14 iteration that is compatible with these cars, which have older chips, is now planning to expand the rollout of the v14 Lite offering to other markets, it said on X.

Tesla said:

“Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets. This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates. Since international rollout is subject to several factors (completion of technical verification, regional adaptation & relevant regulatory approvals), we can’t provide definitive dates at the moment, but will provide updates on a rolling basis.”

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This announcement comes at a critical time for HW3 owners, many of whom purchased Full Self-Driving (FSD) capability years ago with promises of ongoing support and future-proofing.

HW3, introduced in 2019, powers vehicles from roughly 2019 to early 2023 models. While newer AI4 hardware has advanced rapidly, HW3 owners have felt increasingly left behind, with their last major update stuck around version 12.6 since early 2025.

It was an “at last” moment for HW 3 owners, who have waited for an update on the capabilities of their vehicles for some time. After CEO Elon Musk finally admitted last week that the HW3 vehicles would not be capable of unsupervised FSD, it appears Tesla is bringing a new, more transparent tone to those owners.

V14 Lite represents a significant optimization effort. Tesla has confirmed it will bring many core features of the full V14 release, currently running on more powerful hardware, to the more constrained HW3 platform.

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Expected capabilities include improved handling of complex urban scenarios, better reverse driving, enhanced parking features, and smoother overall autonomy, albeit in a “lite” form tailored to HW3’s compute limits. Tesla’s head of Autopilot, Ashok Elluswamy, noted during the Q1 2026 earnings call that the update is targeted for late June in the U.S.

Tesla is releasing a modified version of FSD v14 for Hardware 3 owners: here’s when

The international expansion is particularly meaningful for owners in Europe, Asia, Australia, and other regions where FSD rollout has lagged due to regulatory hurdles.

Tesla emphasized that timing remains fluid, dependent on “technical verification, regional adaptation & relevant regulatory approvals.” No firm dates were provided, but the company pledged rolling updates as milestones are achieved.

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This move addresses growing concerns that Tesla might abandon legacy hardware. With the recent admission that its capabilities are limited and not capable of Tesla’s grand autonomy ambitions, owners are finally in the light of truth, with more honesty being put forth as the company navigates this chapter.

For Tesla, keeping HW3 relevant strengthens customer loyalty and protects the value of older vehicles. It also buys time as the company pushes toward broader regulatory approvals and unsupervised autonomy on newer platforms.

While V14 Lite isn’t the full unsupervised experience once promised, it delivers tangible improvements and signals that HW3 owners are not being forgotten.

As Tesla continues its rapid AI and autonomy evolution, this update underscores a key principle: software can breathe new life into existing hardware. For tens of thousands of HW3 drivers worldwide, V14 Lite could mark the beginning of a renewed era of confidence in their vehicles.

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SpaceX Board has set a Mars bonus for Elon Musk

SpaceX has given Elon Musk the goal to put one million people on Mars.

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Rendering of a colonized Mars by way of SpaceX

SpaceX’s board approved a compensation plan for Elon Musk that ties his pay directly to colonizing Mars and building data centers in outer space. The details surfaced this week after Reuters reviewed SpaceX’s confidential registration statement filed with the Securities and Exchange Commission, making it one of the first concrete looks inside the company’s financials ahead of a public offering.

The pay package will reportedly award Musk 200 million super-voting restricted shares if the company hits a market valuation milestone, with the most ambitious targets going further. To unlock the full award, SpaceX would need to reach a $7.5 trillion valuation and help establish a permanent human settlement on Mars with at least one million residents. Additional incentives are tied to developing space-based computing infrastructure capable of delivering at least 100 terawatts of processing power.

SpaceX wins its first MARS contract but it comes with a catch

Long before SpaceX filed anything with the SEC, Elon Musk had already spent years framing Mars colonization as an insurance policy against human extinction. The philosophy traces back to at least 2001, when Musk first began researching Mars missions independently, before SpaceX even existed. By 2002 he had founded the company with Mars as the stated long-term goal.

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In a 2017 presentation at the International Astronautical Congress, Musk outlined the specific vision that still underpins SpaceX’s architecture today. He described a self-sustaining city on Mars requiring roughly one million people to become viable, the same number now written into his compensation package.

SpaceX’s Starship, still in active development, was designed from the ground up to support the eventual colonization of Mars. Musk has stated publicly that getting the cost per ton to Mars below $100,000 is necessary to make mass migration economically feasible. Everything from Starship’s payload capacity to its full reusability targets flows from that single constraint. One can say that Musk’s latest compensation package has put a formal valuation on Mars for the first time.

SpaceX is targeting an IPO around June 28, Musk’s birthday, at a valuation of approximately $1.75 trillion. Between the Mars rover contract, the Golden Dome software group, Space Force satellite launches, and now a pay structure built around interplanetary colonization, SpaceX has become the single most consequential contractor in American space and defense. The IPO will put a public price tag on all of it for the first time.

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Tesla’s biggest rivals fights charging wait times with a modern approach

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Tesla V4 Supercharger installation ramping in Europe

Earlier this week, we wrote a story on how Tesla is launching a new Supercharging Queue system to mitigate problems between drivers when there is a wait to charge.

Rather than potentially having people end up in a physical conflict, Tesla’s approach is to determine who is next to charge based on geographic data.

Tesla launches solution to end Supercharger fights once and for all

But some companies, notably Tesla’s biggest rival in China, BYD, are taking a different approach, focusing on charging speeds rather than how they will manage delays.

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BYD’s approach, especially with its tests of ultra-fast “Flash Charging” technology, is to eliminate the length of a charging session. At the heart of this strategy is BYD’s second-generation Blade Battery paired with 1,500-kW Flash Chargers.

Unveiled earlier this year, the system charges compatible vehicles from 10 percent to 70 percent state of charge in just five minutes and from 10 percent to 97 percent in nine minutes.

Real-world demonstrations on models like the Yangwang U7 and Denza Z9 GT have shown the tech delivering roughly 250 miles (400 kilometers) of range in just five minutes. This would essentially match or beat the time it takes to fill a gas tank.

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Sometimes, gas pumps get congested, and there are lines. You rarely see conflicts at pumps because filling up a tank rarely takes more than five minutes.

Tesla’s fastest Supercharger build currently is the v4, which can deliver up to 325 kW for Cybertruck and 250 kW for other models, but there are “true” sites that are capable of up to 500 kW. This enables speeds of up to 1,000 miles per hour, or 1,400 miles for 350 kW-capable vehicles.

The breakthrough stems from BYD’s vertically integrated ecosystem: a new 1,000-volt architecture, 10C charging rates, and proprietary silicon-carbide chips that minimize internal resistance while protecting battery health.

The company plans to install 20,000 Flash Charging stations across China by the end of 2026, with thousands already operational and global expansion eyed for Europe and beyond later this year.

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Early rollout targets popular models, including upgrades to high-volume sellers like the Seal and Sealion series, bringing five-minute charging to mainstream prices around 100,000 yuan (about $14,000).

This approach contrasts sharply with Tesla’s software solution. Tesla’s Virtual Queue uses geofencing and the app to assign turns at crowded sites, addressing driver disputes and idle time. It’s a clever fix for today’s network realities.

Yet, BYD’s philosophy is simpler: make charging so fast that waits barely exist. A five-minute stop becomes as convenient as a gas-station visit, reducing station dwell time, easing grid strain, and lowering range anxiety for long trips.

For consumers, the difference is potentially tangible. They’ll spend more time driving and less time parked. It is just another way Tesla and BYD are pushing one another to improve the overall experience of EV ownership.

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