Last week, efforts to obtain recommendations from Twitter influencers proved more complex than expected, so the task remains ongoing. However, progress was made with the Goodreads API, as the team managed to authorize a user and retrieve their friends' updates, with plans to filter these updates for books rated 4 or above. The idea of creating a Netflix recommendation system was discussed, though hindered by the absence of a Netflix API and the challenge of filtering relevant tweets from Twitter's free text. The team acknowledges the need for more structured data and machine learning skills to build an effective recommendation engine, and they have identified resources such as a machine learning starter book and a practical guide on recommender systems to aid their learning. Current challenges have no deadlines, and the team plans to revisit them after gaining more knowledge. For this week, a new challenge has been introduced, inviting participants to post to their favorite API, with further details to be announced soon.