![]() ![]() Is there an unlocked version of the sidekick?Įxplore the Features and Advantages of an Unlocked Sidekick Phone The Sidekick phone, originally branded as the Danger Hiptop, is a GPRS phone with a sliding panel that lifts to reveal a QWERTY keyboard under it. T-Mobile announced this evening that it will discontinue its Danger data service to all Sidekick models starting May 31, 2011. The phones’ data services are ending on May 31, 2011. T-Mobile continues to update and expand its 4G product portfolio and we’ll keep you posted when we have news to share on T-Mobile’s latest 4G devices. While the T-Mobile Sidekick 4G is being retired, it doesn’t mean we are discontinuing the T-Mobile Sidekick line. So, Danger turned off its servers, and older Sidekicks that relied on their data centers were rendered useless. Why did sidekicks get discontinued? As the physical keyboard became less useful, the Sidekick brand went through its biggest change in 2010: T-Mobile announced that it was dropping Danger’s data service. T-Mobile (NASDAQ: TMUS) today announced it’s bringing back its most beloved and iconic device - the Sidekick! If you wish, you can still use the Sidekick for calls and text messaging.Ĭan you use a Sidekick in 2020? Why did sidekicks get discontinued? ![]() ![]() T-Mobile will begin sending out letters to current Sidekick owners tomorrow to alert them to the change and provide information about transferring data and transitioning to a new device. If you wish, you can still use the Sidekick for calls and text messaging. T-Mobile is officially retiring the Sidekick 4G (aka Samsung SGH-T839) but says that it won’t discontinue the Sidekick line. If you are interested to the full details of their solution, do not miss Goral's original article.T-Mobile officially retiring Sidekick 4G, but the Sidekick brand will live on. The solution implemented in Sidekick fully exploits the asynchronicity inherent in this workflow and integrates the response demultiplexing step with the Markdown buffering parser. Once the additional requests complete, Sidekick replaces the placeholders with the received information. Sidekick renders the initial response received from the LLM, including any placeholders. To prevent the user having to wait until all external services have responded, Sidekick uses the concept of "cards", which are placeholders. When those additional pieces of data are received, the LLM forges the full response, which is finally displayed to the user. In other words, based on user input, the initial response provided by the LLM also includes which other services to consult to get the information that is missing. We therefore tell LLMs to tell us when they need information beyond their grasp through the use of tools. ![]() LLMs have a good grasp of general human language and culture, but they’re not a great source of up-to-date, accurate information. Latency is, on the other hand, mostly the result of the need to make multiple LLM roundtrips to consume external data sources to extend the LLM initial response. While this solution is, in principle, relatively easy to implement manually, supporting the full Markdown specification requires using an off-the-shelf parser, says Goral. The stream processor either passes through the characters as they come in, or it updates the buffer as it encounters Markdown-like character sequences. To solve this problem, Spotify uses a buffering parser that does not emit any character after a Markdown special character and waits until either the full Markdown expression is complete, or an unexpected character is received.ĭoing this while streaming requires the use of a stateful stream processor that can consume characters one-by-one. This implies that Markdown expressions cannot be correctly rendered until they are complete, which means that for a short period of time Markdown rendering is not correct. The same problem applies to links and all other Mardown operators. Streaming a Markdown response returned by the LLM leads to rendering jank due to the fact that special Markdown characters, like *, remain ambiguous until the full expression is received, e.g., until the closing * is received. While using a Large Language Model chatbot opens the door to innovative solutions, Spotify engineer Ates Goral argues that crafting the user experience so it is as natural as possible requires some specific efforts in order to prevent rendering jank and to reduce latency. ![]()
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