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Read the wild email Tesla is sending to suppliers amid Supercharger chaos (8 minute read)

Read the wild email Tesla is sending to suppliers amid Supercharger chaos (8 minute read)

Tesla sent out an email to suppliers showing how chaotic the decision-making leading up to the company firing its entire Supercharging team was. The email shows there was a lack of structure and consideration in the decision to fire the team. It mentions that suppliers are expected to be paid, suggesting that Tesla is behind on its payment obligations. The email asks suppliers to continue construction on active projects but to hold on breaking ground or doing pre-construction site walks. A copy of the email is available in the article.
The AI Hardware Dilemma (6 minute read)
May 06 | AI

The AI Hardware Dilemma (6 minute read)

Recent AI-powered hardware launches, like the Humane Pin and Rabbit R1, have faced criticism, yet there's still significant venture capital and interest in the sector, with prominent figures like Sam Altman eyeing substantial investments. The allure lies in AI's potential to revolutionize consumer hardware by utilizing sensors, silicon, and interfaces creatively. However, the challenge to offer a compelling alternative to versatile smartphones remains, with AI still needing to mature and hardware startups struggling to compete with established tech giants.
Dropbox Says Hackers Stole Customer Data and Auth Secrets from eSignature Service (2 minute read)
May 06 | Infosec

Dropbox Says Hackers Stole Customer Data and Auth Secrets from eSignature Service (2 minute read)

Dropbox reported a breach of its Dropbox Sign signature platform. Attackers gained access to authentication tokens, MFA keys, hashed passwords, and customer information. Dropbox says that the attackers gained access through a backend system configuration tool.
Are recruiters better than a coin flip at judging resumes? Here's the data (15 minute read)
May 06 | Webdev

Are recruiters better than a coin flip at judging resumes? Here's the data (15 minute read)

A new study reveals that recruiters are only slightly better than a coin flip at judging resumes and predicting which candidates will pass technical interviews. They only correctly chose who to interview 55% of the time and different recruiters often disagreed on the same resume. Recruiters were found to subconsciously favor candidates from top companies. Simple ML models trained on objective performance data were found to be more accurate than human recruiters in predicting interview success.

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