Good morning, tech fam; here are some quick tech updates for you to catch on to!

What’s New Today: Myntra Hiring Data Scientists

Fast-Track Insights: Cryptocurrency trader loses $68 million on poisoning scam

OpenAI is in the development phase of a new feature for ChatGPT that allows it to search the web and provide cited sources in its responses, equally competing with companies like Google and Perplexity in the AI search space. Here is a breakdown, this feature will allow users to ask ChatGPT questions, and prompts and receive answers. This comprises information from the web, complete with citations to sources such as Wikipedia entries and blog posts. Users can also ask for relevant images with explanation responses. The report reveals the development started in February, and OpenAI is working on a search product.

Myntra is Hiring Data Scientists. The candidate will be responsible for the design, development, and deployment of ML models and algorithms to handle complex business challenges in various domains such as RecSys, search, vision, SCM, pricing, forecasting, trend and virality prediction, and generative AI. The candidate should hold a Master’s or PhD in computer science, mathematics, statistics, or an equivalent role, or one year of relevant industry experience with a bachelor’s degree. Candidate should have experience in Python and should possess knowledge of theoretical understanding of statistical models and machine learning algorithms.

Two asset classes that have continued to attract investors and enthusiasts are evidenced by their dominating search queries in the crypto space, with many articles and publications discussing their potential and impact on the market. Shiba Inu and AI crypto projects like Avorak AI stand out in the current crypto landscape. While Shiba Inu has been making waves with its rapidly growing community, AI crypto projects have been deploying their innovative use of AI technology in the blockchain space. Read more

Address poisoning is a misleading tactic used in cryptocurrency scams, as exemplified by the recent case where a trader lost $68 million in wrapped bitcoin (WBTC). In this scheme, the perpetrator mimicked the initial and final six characters of a legitimate wallet address, creating a convincing facade. Despite the apparent authenticity, the intermediary characters were altered. This discrepancy often goes unnoticed by the victim, who mistakenly sends funds to the fraudulent address. The scam's success hinges on exploiting human oversight and the reliance on familiar patterns. By replicating parts of a genuine address, the perpetrator aims to deceive the sender into believing they are transacting with the intended recipient. Once the funds are transferred, they become irretrievable, leaving the victim at a substantial financial loss.