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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.

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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Elon Musk

SpaceX announces new Starbase for ‘thousands of Starship launches annually’

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Credit: SpaceX

SpaceX announced today that it would expand its launch capabilities into a new U.S. state: Louisiana.

Today, SpaceX, in conjunction with the Louisiana Economic Development Office, said that it will establish a new launch facility, which it will call Starbase, Louisiana. It will be located near Vermilion Parish, supporting thousands of launches each year, at least eventually.

CEO Elon Musk commented by stating, “Starbase Louisiana will ultimately have over a dozen launch towers, enabling more than 30 Starship flights per day and making it the biggest launch site on Earth!”

The expansion is SpaceX’s latest move to push its launch cadence to be more frequent than ever. SpaceX said that Starbase, Louisiana, will be built to “support thousands of Starship flights a year,” with the first coming in 2029.

SpaceX announced the new facility in partnership with the Louisiana Economic Development Office as it will bring a major influx of jobs and investments into the area. Currently, it will produce more than 3,000 new jobs in Louisiana, and SpaceX plans to invest at least $100 billion into the entire facility, ensuring that many jobs are created as a result.

Environmental Responsibility

SpaceX acknowledges the impact launches could have on marshlands, local wildlife, and water sources. Here’s how the company plans to help with the issues in Vermilion Parish:

  • Restoring the Shoreline: “In Vermilion Parish, the shoreline is eroding between 3.3 and 23 feet per year. We’re partnering with state and federal agencies to expand Louisiana’s Coastal Master Plan and Coastal Wetlands Planning, Protection and Restoration Act projects, including Gulf shoreline protection breakwaters designed to reduce wave energy and slow loss along the Gulf edge.”
  • Rebuilding the Marshlands: “In working with the state, we’re planning thousands of acres of marsh creation using beneficial-use placement of dredged material and offshore sediment sources. Restoration will also include interior marsh bank stabilization and rebuilding marsh in remnant canals. These projects can reconnect fragmented wetlands, restore natural buffers against storms, and return habitat that has been lost to erosion and historic canalization.”
  • Preserving Coastal Wildlife: “Pecan Island and nearby wetlands are high-value habitat for migratory waterfowl, shorebirds, wading birds, and other coastal wildlife. SpaceX is not developing the full footprint of the land and will preserve wetlands and wildlife habitat. At existing launch sites, waterfowl and other birds continue to use nearby habitat during operations. Working with wildlife agencies, landowners, and conservation groups, SpaceX will support monitoring and management so this habitat stays productive and hunting, fishing, birding, and other recreational activities that are part of this coast’s culture can continue.”

SpaceX shares rose about 2.5 percent on the news.

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Cybertruck

Tesla just made Cybertruck more expensive

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Credit: Tesla

Tesla Cybertruck trims saw a big price change, at least on two of the three available to consumers, as demand for the all-electric pickup appears to be increasing.

Tesla bumped up its Base All-Wheel-Drive trim level up to $74,990 from $69,990 and the Premium All-Wheel-Drive configuration from $79,990 to $84,990. The Cyberbeast price remains unchanged at $99,990.

Despite questions of demand for the truck, Tesla is bumping its two least expensive trims up $5,000 to signal that there are plenty of buyers. Although SpaceX has been buying Tesla Cybertruck units to utilize as company vehicles, it is no secret that the Cybertruck is among the most sought-after Tesla models out there.

The issue has always been pricing, at least for the most part. When Tesla initially launched the Cybertruck AWD at $59,990 a few months back, the company stated that price would remain intact for just ten days due to the influx of orders it received.

Cybertruck Sales: Is It the Product or Pricing?

Depending on who you ask, you will likely hear one of two explanations for relatively low Cybertruck sales: either the product itself or the pricing.

Yes, this is the best-selling all-electric pickup on the market. However, there are people who simply hate the look of it, which I understand, but do not agree with. Look is totally subjective, and I love the look of the Cybertruck.

Some people will not buy the Cybertruck because of the look, but I am under the impression that sales would be much better if this truck were priced lower; something that might not be possible considering Tesla’s need to make money on its products. When it was unveiled in 2019, its most expensive trim level was $69,990. Now, the cheapest trim level is more expensive than that.

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I would be in a Cybertruck if it were more affordable. I LOVE my Model Y, but Cybertruck is the best vehicle Tesla makes, and it’s not particularly close. Even in the base model, the steer-by-wire, the space, storage, and performance make it more desirable than the Model Y to me. I cannot be the only Tesla owner without a Cybertruck who feels this way.

If you’re interested in buying a Tesla vehicle, use my referral link.

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Energy

Tesla Semi factory is getting a celebration nobody expected

Tesla will inaugurate its Nevada Semi factory September 24, five months after production quietly began ramping.

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Tesla says it will officially inaugurate its new Semi factory in Nevada next month. The Tesla Semi account posted the announcement on X, sharing a graphic titled “Semi Rollout” with a date of September 24. No further details were given about the format of the event or who would attend.

While Tesla’s dedicated Semi plant in Sparks, adjacent to Gigafactory Nevada, opened back in April, with the first trucks rolling off the high volume line on April 29, the timing for the factory inauguration comes at a surprise. The ribbon cutting event five months into production is a break from how Tesla has usually handled its other factories, where the first truck or car off the line typically served as the milestone moment.

The 1.7 million square foot factory was built as part of a $3.6 billion expansion Tesla announced in early 2023, and it shares a site with the battery cell lines that feed the Semi’s structural pack, a decision meant to remove the supply bottleneck that delayed the truck for years. The plant is designed for 50,000 trucks a year at full ramp. Semi program director Dan Priestley has said production “is now ramping” rather than claiming it has reached scale.

Nine years passed between the Semi’s 2017 unveiling and this stage of production, with the truck slipping from an original 2019 target through hand built pilot units for PepsiCo and a slow build out of the Nevada plant. An inauguration event now gives Tesla a stage to talk up that ramp and reset expectations for how many trucks it can begin delivering at scale.

The September date also lines up with the Semi’s next milestone. Tesla confirmed the truck is heading to Europe with a full unveiling at the IAA Transportation trade show in Hannover, Germany, running September 15 through 20. Between the Nevada event and the Hannover reveal, Tesla has roughly a week and a half in September to make the case that the Semi is now a truck being built and sold on two continents rather than tested in a handful of fleets.

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