Google’s infamously difficult interview process has come under scrutiny once again, this time by a former employee who argues that the approach is flawed. The criticism focuses on a specific coding test that the author says is both irrelevant to actual engineering work, and can be passed by candidates who excel at solving puzzles but won’t necessarily excel at the job. The coding test in question requires the candidate to write a function that determines whether a given string is a concatenation of a number of dictionary words. However, the author argues that this question doesn’t evaluate technical abilities or skills that are actually relevant to engineering work. The author suggests several ways that the question could be improved, such as presenting a naive solution and then asking the candidate to improve it.

The Toronto housing market is once again seeing skyrocketing prices, with anecdotes of recent sales of semi-detached homes selling for over a million dollars. There is a clear lack of inventory in the market as demand continues to surge, leaving many potential buyers with limited options. While many are quick to blame government policies, it is important to remember that housing is a government-backed investment vehicle that many are using as a means of investment.

Substack, the popular newsletter platform has come under scrutiny recently for its new feature called “Notes,” with some users speculating that it’s an attempt to pivot to an advertising-based business model. The skepticism has not been helped by the fact that Substack raised a ton of money on a high valuation, spending 25 million to make just one million last year and is now scrambling to raise a new crowd-sourced round. However, it’s important to note that Substack is very clear that its ultimate goal is to convert casual readers into paying subscribers, and it runs on paid subscriptions, not ads. This differentiation sets it apart from social media sites like Twitter and Facebook who rely on ad revenue.

The Importance of Attention to Detail in Relationships and Automotive Maintenance In a recent online forum, a discussion arose about the importance of fully closing car doors. What started as a simple anecdote about a car battery continually dying due to a parasitic drain turned into a broader conversation about how little details, such as not fully closing doors or not liking onions in food, can lead to challenges in relationships, both personal and professional.

The recent leak of the llama language models (LLMs) has caused a stir among those interested in artificial intelligence (AI) and its potential uses. While some have praised the LLMs for their impressive chatbot capabilities, others see them as simply toys compared to openai’s more advanced models like GPT3.5 and GPT4. One user shared their experience testing the LLMs against GPT3.5 and GPT4 with a logic problem involving a glass door with “PULL” written in mirror writing. While the LLMs were able to give an answer, GPT4 displayed a greater understanding of the situation and provided a more thorough response.