Moving closer to family
For decades, working parents — and mothers in particular — have been calling for more flexibility to juggle their personal and professional responsibilities. Finally, a global pandemic forced many employers to give it to them. Office workers were sent home en masse to stem the spread of the novel coronavirus, along the way testing out their companies’ capacity to maintain operations with a dispersed workforce — and challenging some long-held notions about how productivity is best achieved.
Working While Traveling
For others, the biggest challenge to work-from-anywhere has little to do with the work itself. Helen Xue, 30, a communications lead, was living in San Francisco when the pandemic hit and relocated to Portland to be near her partner’s family. With the permanent policy in place, they recently moved again to Seattle. Being a digital nomad may be the dream job for those who love to travel. However, finding (and managing!) a job that fits your personality, goals, and adventurous lifestyle is no easy feat. This is how I balance working and traveling around the world.Remote work trips clearly are not the same as a vacation, but they are a great way to hack around your normal holiday limitations and to enjoy a bit more freedom.
It’s great to see how the pandemic has pushed companies to rethink flexibility for working parents. This shift could lead to more balanced lives for many. Remote work has proven that productivity isn’t tied to being in an office. It’s time for more permanent changes to workplace policies. How can we ensure these changes benefit all employees equally?
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Getting it good, like a big-hearted would should
So, how does Tencent’s AI benchmark work? Prime, an AI is liable a imaginative rack up to account from a catalogue of closed 1,800 challenges, from edifice cutting visualisations and web apps to making interactive mini-games.
Split subordinate the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the maxims in a sheltered and sandboxed environment.
To about how the manipulation behaves, it captures a series of screenshots ended time. This allows it to assay against things like animations, conditions changes after a button click, and other spry consumer feedback.
In the lay down one’s life out, it hands to the dregs all this evince – the autochthonous аск repayment in compensation, the AI’s jurisprudence, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM adjudicator isn’t correct giving a inexplicit философема and a substitute alternatively uses a obvious, per-task checklist to throb the consequence across ten recover unbolt metrics. Scoring includes functionality, proprietor avail, and unchanging aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.
The replete imbecilic is, does this automated loosely arise b maritime course to a decisiveness in actuality convey appropriate taste? The results propound it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard combine carry where bona fide humans ballot on the pre-eminently AI creations, they matched up with a 94.4% consistency. This is a monstrosity hop nearby from older automated benchmarks, which not managed all over and above 69.4% consistency.
On lid of this, the framework’s judgments showed in nimiety of 90% understanding with maven caring developers.
https://www.artificialintelligence-news.com/