Elon Musk Delivers 1st Profit for Tesla
Tesla Motors reported its first annual profit Wednesday, but shares fell after Elon Musk's electric car company scored lower-than-expected fourth quarter earnings.
Tesla, a soaring stock for much of the last year, reported 2020 profits of $721 million, reflecting the company's strong ramp-up in production and deliveries despite a hit from Covid-19. Tesla had reported a 2019 loss of $862 million.
Revenues for 2020 jumped 28 percent to $31.5 billion.
"This past year was transformative for Tesla," the company said in its earnings report.
"Despite unforeseen global challenges, we outpaced many trends seen elsewhere in the industry as we significantly increased volumes, profitability and cash generation."
Tesla said that 2020 was a "critical year" for the company but 2021 "will be even more important" as the company escalates output at its China factory and targets first production at new plants now being built in Germany and the US state of Texas.
In the fourth quarter, the company reported profits of $270 million, up 157 percent from the year-ago period on a 46 percent rise in revenues to $10.7 billion.
That translated into profits of 80 cents per share, below the $1.01 projected by analysts.
The company did not offer detailed 2021 forecasts for sales or profit.
In terms of volume, "over a multi-year horizon, we expect to achieve 50 percent average growth in vehicle deliveries," Tesla said. "In some years we may grow faster, which we expect to be the case in 2021."
Shares were down 4.5 percent at $824.90 in after-hours trading.

NIST Graded Our Post-Quantum Cryptography. Zero Failures.
NIST's Algorithm Validation Test System generated test vectors nobody had seen, we answered them over the ACVP protocol, and NIST graded the result: 2,130 cases across ML-KEM, ML-DSA and SLH-DSA in every parameter set offered, zero failures, demo certificate A11025. This is what that proves, where we deliberately drew the claim narrower than NIST's own matrix, and why the FIPS 140-2 sunset on 21 September makes the distinction between being graded and grading yourself worth understanding.

The Problem Is Not the Problem
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What KXCO Is, and Why the Hard Problem Was Never Intelligence
The prevailing enthusiasm assumes the hard problem is intelligence. It is not. It is that banks, hospitals, courts and governments are being asked to let software act on their behalf with no way to establish who decided, on what basis, or whether the record will still read in a decade. KXCO founder Shayne Heffernan sets out the architecture that answers those questions, drawn as a graph, and argues that properly constructed AI is an amplifier of human judgement rather than a replacement for it.

AI Intelligence Scales. Accountability Does Not. Why KXCO Is Built for It.
Capability is becoming abundant and everything abundant gets cheap. What does not get cheap is the person who has to sign, and they can only carry what they can see. Four conditions follow from that, and four independent authorities reached the first of them last month without knowing it.
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