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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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SpaceX stock gets a slew of price target boosts after bullish earnings call

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Wall Street analysts rapidly raised price targets on SpaceX (NASDAQ: SPCX) after the company reported a bullish third quarter for 2026 following the market close on October 20. Shares were sent sharply higher in after-hours and premarket trading.

SpaceX posted revenue of $14.6 billion, a 161 percent year-over-year increase that comfortably topped consensus estimates, which fell near $12.7 billion. The company also posted a net profit of $4.4 billion from a prior-year loss, with adjusted EBITDA reaching $8.8 billion.

Its Super Intelligence (AI) division generated roughly $7.6 billion and became the largest revenue contributor, growing nearly 830 percent year-over-year, while the Connectivity segment delivered $5.2 billion on strong subscriber additions that lifted the consumer base to 13.6 million for Starlink.

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The Earnings Call proved especially catalytic, as CEO Elon Musk and CFO Bret Johnsen outlined Q1 2027 revenue guidance of $33 billion to $37 billion, which was far above the roughly $22 billion analysts had modeled, alongside fourth-quarter capital-expenditure plans of $35 billion to $40 billion focused on AI compute infrastructure at sites including Memphis and Southaven.

SpaceX delivers blockbuster Q3 results as Super Intelligence segment booms

Management targets 2.5 to 3 gigawatts of nameplate compute capacity by year-end and discussed pathways to 13 gigawatts or more by the end of 2027. Musk described relentless demand from hyperscalers and other customers, with compute pricing supporting payback periods of less than a year and potentially as short as six months.

Additional highlights included Starship’s recent orbital success and V3 satellite deployment, Starlink pricing and enterprise momentum, rapid Grok Bot adoption, spectrum expansion plans, and the formation of special committees to explore a possible combination with Tesla.

These elements prompted a wave of price-target increases:

  • JPMorgan more than doubled its target to $500 from $240 while maintaining an Overweight rating.
  • Cantor Fitzgerald lifted its target to $345 from $246 (Overweight).
  • Barclays raised its target to $300 from $254 (Overweight).
  • Citi increased its target to $240 from $200 (Buy),
  • UBS moved to $230 from $210 (Buy), and
  • TD Cowen raised its target to $224 from $200 (Buy).
  • Morgan Stanley held an Overweight rating with a $300 target.
  • Other firms also adjusted higher, including Wells Fargo (to $274 from $214) and Clear Street (to $248 from $217). Analysts broadly cited the strong quarterly print, accelerating AI compute expansion, Starlink progress, and Starship milestones as drivers of higher long-term growth and earnings power.

Shares, which closed at $147.79 on October 20, jumped roughly 8 percent in early premarket trading on October 21 as investors digested the results and the newly elevated Street targets.

The average analyst price target has moved higher, which reflects greater conviction in SpaceX’s trajectory across launch, connectivity, and the Super Intelligence business, even as elevated spending remains a point of focus.

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SpaceX showcases exactly how it plans to catch Starship next month

SpaceX played a new Starship Flight 15 simulation showing the ship caught by tower chopsticks.

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Concept video of SpaceX’s Flight 15 Starship held in the launch tower’s chopstick arms after a catch. (Credit: SpaceX)
Concept video of SpaceX’s Flight 15 Starship held in the launch tower’s chopstick arms after a catch. (Credit: SpaceX)

SpaceX gave its clearest look yet at how it plans to catch a Starship upper stage, playing a roughly 80 second animation of the maneuver during its third quarter earnings webcast on Tuesday. The clip ran under an “Up Next: Ship Catch” banner moments after Elon Musk confirmed that Flight 15, expected next month, will try to catch both the Super Heavy booster and the ship with the launch tower.

The animation opens at ground level, looking up through the launch mount at a tower with its chopstick arms spread wide. It then cuts to the ship gliding back through the atmosphere in its horizontal belly flop position, with its forward and aft flaps steering the descent. A wide shot from the Starbase shoreline follows, where the ship is a small dot in the sky before it swings vertical and drops toward the launch towers. The final shots show the ship sliding down past the top of the tower, a close view of the hardware along its side meeting the arms, and the vehicle hanging in the chopsticks.

 

Musk called the catch the step that closes Starship’s reuse loop. “If we succeed, it will be the first time that an orbital launch vehicle has been fully recovered,” he said. He put the odds of success on the first attempt at “more likely than not,” and said SpaceX has “a steady stream of Starship flight attempts through the end of this year” if Flight 15 falls short.

The sequence mirrors work SpaceX has already done with real hardware. In September, Ship 42, the vehicle assigned to Flight 15, was lifted by the Pad 2 chopsticks into a simulated catch position, where crews cycled the arms and connected the ship quick disconnect arm while it hung from the tower. NASASpaceflight has since reported that SpaceX removed Ship 42’s engines before its static fire and sent it back for another cryogenic test.

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Gwynne Shotwell covered the regulatory side on the same call. After what she called “significant constructive engagement with the FAA,” SpaceX expects the Flight 15 license “to include return to launch site and tower catch for both stages.” Bringing the ship home means reentering toward land instead of the open ocean, which Musk said in February would only happen once the chance of the ship breaking up over land was very low, after two perfect soft landings at sea.

SpaceX has caught Super Heavy with the tower three times, on Flights 5, 7 and 8, but the ship returns from orbit at far higher speed and has never been caught. Flight 14 on September 28 was the first Starship to reach orbit, and it deployed 26 Starlink V3 satellites before splashing down, a mission SpaceX counted as its first revenue flight in the Q3 results it reported Tuesday.

The timing lines up with what Musk told the crowd at Giga Texas earlier this month, when he said Flight 15 would probably launch a little before Thanksgiving and that Flight 16 could refly both stages. On Tuesday’s call he went further, saying Starship should fly weekly at some point in the first half of 2027 and twice weekly or more by the end of next year as SpaceX works toward landing a rocket and launching it again with no refurbishment.

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Elon Musk just confirmed the Tesla and SpaceX merger step everyone was waiting for

Tesla and SpaceX formed special committees to weigh a merger, and Elon Musk supports it.

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Elon Musk confirmed Tuesday that Tesla and SpaceX have each formed special committees of independent directors to study a possible merger, the first formal step toward combining the two companies after months of speculation.

Musk made the disclosure during SpaceX’s third quarter earnings call. “Both SpaceX and Tesla have formed special committees to discuss this idea at the request of shareholders,” he said. “Because I’m a conflicted party, I can’t actually be in the discussions of the special committees.” He described the setup as “an odd kabuki dance where two groups of people are talking and I can’t be in the conversation.”

Musk did not hide where he stands. “Do I think it would be a good idea? Yes,” he said, pointing to shared work on super intelligence software, chip design, the Terafab facility in Austin, robotics, mass to orbit and connectivity. “I do think there’s a lot of merit to combining the companies as we are pretty much in the super intelligence singularity.”

He also tried to cool expectations. The committees have not agreed on terms for any transaction, and Musk said assuming a merger is a certainty “would be overstating it.” Any deal would go to shareholders, and on the Tesla side it would need approval from 50 percent of all outstanding shares, not just the shares that are voted. Musk called that “quite a high hurdle.”

That bar has tripped Tesla up before. The company’s 2025 attempt to declassify its board won support from only 39.4 percent of outstanding shares and failed. Musk’s own voting stake sits near 20 percent after he exercised his 2018 options in June, so a deal would need broad backing from institutions and a retail base that often leaves votes uncast.

Timing is another open question. Tesla filed its proxy statement Monday for its December 3 annual meeting, and the ballot has only three items: director elections for Musk, Robyn Denholm and JB Straubel, a say on pay vote and auditor ratification. Barclays analyst Dan Levy had argued that an announcement would need to land by late October or early November to make the annual meeting, as Teslarati noted in its SpaceX earnings preview. With no terms agreed, any vote would likely require its own special meeting.

Elon Musk gives his most telling Tesla-SpaceX merger conversation yet

Musk has been edging toward this for weeks. At the All-In Summit in September, he asked “who can imagine what action one might take when there’s so much close collaboration,” Teslarati reported. Last week’s Roadster unveil, built around SpaceX derived cold gas thrusters, pushed the talk further. The two companies already share the Terafab chip project, and Tesla holds a small SpaceX stake that came from its earlier investment in xAI.

SpaceX brought strong numbers to the conversation. It reported Q3 revenue of $14.58 billion, up 161 percent year over year, with its Super Intelligence segment now its largest at $7.56 billion. A higher SpaceX valuation would shape any exchange ratio Tesla holders are offered.

Tesla reports its own third quarter results after the close on Wednesday, October 21. Investors had already ranked merger timing among the top retail questions for SpaceX’s call, and the committees will almost certainly come up again on Tesla’s.

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