The Backrooms is an urban legend and creepypasta which originated in a 2019 4chan thread about unsettling images. One of the first examples of liminal spaces — an internet aesthetic which includes usually busy locations depicted as unnaturally empty — the Backrooms are an endless maze of office rooms which are entered by "[noclipping] out of reality in the wrong areas". As its popularity grew, internet users have expanded upon the original concept by creating different levels and entities which inhabit the Backrooms. Fan-made video games, collaborative fiction wikis and YouTube videos have also been inspired by the Backrooms.
PromQL is a query language for Prometheus monitoring system. It is designed for building powerful yet simple queries for graphs, alerts or derived time series (aka recording rules). PromQL is designed from scratch and has zero common grounds with other query languages used in time series databases such as SQL in TimescaleDB, InfluxQL or Flux.
This allowed creating a clear language for typical TSDB queries. But it has a cost — beginners usually need to spend a few hours reading the official PromQL docs before they understand how it works. Let’s flatten and shorten the learning curve for PromQL.
Google may be gearing up to compete with OpenAI’s ChatGPT by letting people “interact directly” with its “newest, most powerful language models as a companion to search,” according to CEO Sundar Pichai. It would be a big move for the company — as systems like ChatGPT and DALL-E have gone viral, Google — a company that’s been flexing its AI muscles for years and producing tons of research in the area — hasn’t had a public answer to those sorts of tools, some of which could threaten its core businesses.
As we face economic uncertainties and changes to work patterns, organizations are searching for ways to optimize IT investments and re-energize employees to achieve business results. Now—more than ever—organizations need solutions to adapt to change, improve productivity, and reduce costs. Fortunately, modern tools powered by AI hold the promise to boost individual, team, and organizational-level productivity and fundamentally change how we work.
This promise is rapidly becoming a reality. At Microsoft, we’re working to incorporate new, AI-powered capabilities across our consumer and enterprise products, including Microsoft Teams.
As part of this continuous innovation, I’m excited to share that Microsoft Teams Premium is generally available. Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.1
In computer programming, the specification pattern is a particular software design pattern, whereby business rules can be recombined by chaining the business rules together using boolean logic. The pattern is frequently used in the context of domain-driven design.
A specification pattern outlines a business rule that is combinable with other business rules. In this pattern, a unit of business logic inherits its functionality from the abstract aggregate Composite Specification class. The Composite Specification class has one function called IsSatisfiedBy that returns a boolean value. After instantiation, the specification is "chained" with other specifications, making new specifications easily maintainable, yet highly customizable business logic. Furthermore, upon instantiation the business logic may, through method invocation or inversion of control, have its state altered in order to become a delegate of other classes such as a persistence repository.
As a consequence of performing runtime composition of high-level business/domain logic, the Specification pattern is a convenient tool for converting ad-hoc user search criteria into low level logic to be processed by repositories.
Since a specification is an encapsulation of logic in a reusable form it is very simple to thoroughly unit test, and when used in this context is also an implementation of the humble object pattern.
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