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Will AI violate human rights? Humanitarian groups are trying to make sure they don’t

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A group of human rights organizations has signed the Toronto Declaration on Machine Learning, an initiative that calls for regulations designed to protect people from human rights violations caused by artificial intelligence. The declaration was signed on Wednesday, with groups such as Amnesty International, Access Now, Human Rights Watch, and the Wikimedia Foundation pledging their support.

The Toronto Declaration is rather unique in the way that it draws from international human rights laws. According to the declaration, it is imperative for people who are discriminated against by AI-based systems to have an avenue where they can seek reparations, considering that intelligent machines would likely “learn” implicit biases based on the information that they are fed. As could be seen in the declaration’s Preamble, the emergence of new technologies lies the need to develop new ways to protect human rights, particularly among diverse individuals and marginalized groups. The declaration further noted that AI-based technologies could “exacerbate discrimination at scale.”

“Existing patterns of structural discrimination may be reproduced and aggravated in situations that are particular to these technologies – for example, machine learning system goals that create self-fulfilling markers of success and reinforce patterns of inequality, or issues arising from using non-representative or “biased” datasets.

“All actors, public and private, must prevent and mitigate discrimination risks in the design, development and, application of machine learning technologies and that ensure that effective remedies are in place before deployment and throughout the lifecycle of these systems.”

Apart from the rights to equality and non-discrimination, the Toronto Declaration also highlights the importance of developing safeguards against possible AI-driven human rights violations in areas such as privacy, data protection, freedom of expression, participation in cultural life, equality before the law, and meaningful access to remedy. The declaration also notes that intelligent computer systems that make decisions and process data can implicate economic, social, and cultural rights, such as the provision of healthcare and education, as well as access to labor and employment.

In order to prevent human rights violations caused by artificial intelligence, the Toronto Declaration has called on developers to foster inclusion, diversity, and equity to ensure that AI-based systems do not develop discriminatory behavior.

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“Intentional and inadvertent discriminatory inputs throughout the design, development and, use of machine learning systems create serious risks for human rights; systems are for the most part developed, applied and reviewed by actors which are largely based in particular countries and regions, with limited input from diverse groups in terms of race, culture, gender, and socio-economic backgrounds. This can produce discriminatory results.

“Inclusion, diversity, and equity entails the active participation of, and meaningful consultation with, a diverse community to ensure that machine learning systems are designed and used in ways that respect non-discrimination, equality, and other human rights.”

The full text of the Toronto Declaration on Machine Learning can be accessed here.

The inherent risks of hyper-intelligent machines are one of the key reasons behind the creation of OpenAI; a nonprofit organization co-founded by Elon Musk aimed at developing artificial intelligence that is inherently safe for people. While Musk has since stepped down from his post as a board member of OpenAI, the organization has shown signs that it is in the process of expanding. Earlier this year, for one, OpenAI announced that it is actively hiring a Recruiting Coordinator, who will be tasked to help grow the company’s team.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Investor's Corner

Tesla reports Q3 Earnings today: here’s what to expect

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Credit: TechOperator | X

Tesla (NASDAQ: TSLA) reports its earnings for Q3 today. Here’s what to expect, as the company will reveal its balance sheet after the market closes on Wednesday.

Tesla already reported deliveries just after Q3 ended, and it demolished Wall Street consensus estimates of roughly 462,000 vehicles. Tesla delivered 486,532 cars in the third quarter, which was a big beat, but was down 2.1 percent from the same quarter last year. Energy storage deployments were 13.7 GWh, up year-over-year.

Tesla showrooms picked clean ahead of Q3 end as demand looks strong

For the quarter, analysts have already compiled their predictions for what Tesla will report this afternoon:

  • Total Revenues: $28.34B
  • Non-GAAP EPS: $0.43
  • Operating Margin: 2.5%
  • Operating Income: $721M
  • Free Cash Flow: ~-$4.51B

Here are a few things we are looking forward to hearing about on the call:

Automotive Gross Margin and Overall Profitability

This was 16.3 percent in Q2, down from 19.2 percent in Q1, and was impacted by warranty charges and some fading regulatory credits. Consensus implies overall gross margin near 18 percent, but a miss here would potentially reinforce concerns about pricing pressure on its vehicles.

Pay attention to energy storage margins as well, especially since Tesla missed GWh expectations, although it was still a strong quarter.

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Robotaxi/Cybercab, Unsupervised FSD, and Optimus Progress

The Say questions from retail investors usually focus on these types of projects, and this quarter is no different. Scaling the Cybercab fleet beyond Austin amid the open NHTSA safety review, timeline for Unsupervised FSD in customer cars, Robotaxi unit economics, and Optimus cost per unit plus when it could start generating revenue, are all things to be looking for.

Any concrete timelines or regulatory path details will likely move the stock more than the near-term numbers. SpaceX merger speculation, which was detailed during SpaceX’s earnings call last night, may also surface, although the key details were shared last night.

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

Say Investor Questions

  1. How does the Cybercab fleet scale past Austin, and what’s the regulatory path outside Texas given NHTSA’s open safety review?
  2. When can we anticipate FSD unsupervised in customer cars?
  3. When will the CyberCab be available for customer purchase/ownership?
  4. What’s the unit economics per paid robotaxi mile, and how does it compare to the thirty-cent target?
  5. Tesla has acknowledged that HW3 vehicles cannot support unsupervised FSD. When will owners know whether they can upgrade their hardware for free, and when will Tesla provide a clear plan?

The full Earnings Call will be streamed this evening after market close around 5 p.m. this evening.

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SpaceX confirms Starship 15 launch window with massive ambitions

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Credit: SpaceX

SpaceX confirmed the date of Starship’s 15th launch window with some massive ambitions for the mission, as it will attempt to catch Ship for the first time.

CEO Elon Musk confirmed during SpaceX’s Earnings Call last night on October 20 that it would launch Starship for its 15th test flight in November, and there are some incredible things the company wants to try, making it perhaps the most groundbreaking launch in the program’s history.

SpaceX delivers blockbuster Q3 results as Super Intelligence segment booms

The most major development of the call was SpaceX’s intention to catch Ship alongside catching the Super Heavy Booster, something that has happened in the past. SpaceX showed an animation of the Ship catch, which will be done on the launch tower’s chopsticks:

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This monumental goal is to catch both the Ship and Booster in a dual-catch scenario, an incredible feat since SpaceX has never been able to reuse a Ship after launch. Musk said it would be “the first time that an orbital launch vehicle has been fully recovered,” and said it would be a “profound technology milestone.”

Musk said the odds of success on this first Ship catch attempt are “more likely than not,” but SpaceX is ultimately prepared for more tries moving forward. The SpaceX frontman said that, starting next year, Starship would have a “steady stream” of flights through the end of the year.

The cadence will accelerate in 2027, with Musk stating the company plans to target weekly flights in the first half of 2027 and twice-weekly by year-end.

The Flight 15 attempt follows that of Flight 14, which took off in late September and was Starship’s first orbital mission. It deployed 26 Starlink V3 satellites, accomplished a controlled ocean splashdown of both stages, and shed more light on potential challenges for the program moving forward.

As of now, the Starship program is firing on all cylinders.

Interested in ordering a Tesla? Use my referral code for three free months of Full Self-Driving (Supervised) here.

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Investor's Corner

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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