Apple News is testing a new game for iOS 17.5 called Quartiles, which requires players to organize a grid of 20 syllables into 5 four-syllable words.
Spotted by Gadget Hacks, the interface for Quartiles looks a lot like the New York Times’ newest hit, Connections.
Did Apple News sherlock the New York Times?
While it may appear odd for a news aggregator to continue investing in games, that’s exactly what has been working for the New York Times.
But given that the New York Times is low-key running a gaming studio now, it’s not a bad idea for Apple to churn out some new, preferably square-shaped games.
Two weeks ago, TechCrunch broke the news that LinkedIn was getting into games, helping users “deepen relationships” through puzzle-based interactions.
And on Wednesday, TechCrunch reported that the Microsoft-owned social network was experimenting with short-form videos.
It’s as if LinkedIn is targeting a whole new “type” of user — one caught in limbo somewhere between two other well-known social networks.
And LinkedIn shouldn’t try to be Twitter or TikTok — it’s aimed at an entirely different audience.
And now with games and short-form videos in the mix, LinkedIn wants even more of the action.
Lucid Motors is raising another $1 billion from its biggest financial backer, Saudi Arabia, as it looks to blunt the high costs associated with building and selling its luxury electric sedan.
The fresh funding comes just a few weeks after Lucid told investors that it only plans to build around 9,000 of its Air electric vehicles this year, a slight bump over last year’s output.
It lost $2.8 billion in 2023 and finished the year with just shy of $1.4 billion in cash and equivalents.
Lucid also plans to start building its electric Gravity SUV at the end of this year.
Lucid announced the investment less than three weeks after CEO Peter Rawlinson told the Financial Times that he was wary of relying too heavily on Saudi Arabia to keep shoveling money into its proverbial furnace.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution.
Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce.
According to a 2021 Stanford study, just 16% of tenure-track faculty focused on AI are women.
With any luck, TechCrunch’s humble contribution — a series on accomplished women in AI — will help move the needle in the right direction.
The women we profile share many suggestions for those who wish to grow and evolve the AI field for the better.
