"Amazon says AI assistant Rufus drives $10B in sales"
Amazon's AI shopping assistant Rufus is generating an estimated $10 billion in annualized sales for the company, CEO Andy Jassy disclosed during the retailer's third-quarter earnings call Thursday. The announcement underscores how artificial intelligence is becoming a significant revenue driver for the e-commerce giant as it competes with tech rivals in the rapidly evolving AI landscape.
India scripted history on Sunday, November 2, defeating South Africa by 52 runs in the ICC Women's World Cup 2025 final at Navi Mumbai's DY Patil Stadium to claim their maiden world championship title. Captain Harmanpreet Kaur lifted the coveted trophy in front of a packed home crowd, ending the nation's decades-long wait for women's cricket's ultimate prize. 🏆✨
*Intel* Intel has announced the year's largest single downsizing, eliminating 24,000 positions—approximately 22% of its global workforce—as new CEO Lip-Bu Tan restructures the semiconductor giant to compete against rivals Nvidia and AMD. The cuts affect facilities across the United States, Germany, Costa Rica, and Poland, with the company targeting $17 billion in cost savings through 2025.
*Amazon* Amazon confirmed it will cut 14,000 corporate roles across its operations, HR, and cloud divisions, with reports suggesting the total could reach 30,000 employees. CEO Andy Jassy described the restructuring as necessary to operate "like the world's largest startup," though he sparked controversy by claiming the cuts were driven by "culture" rather than AI or financial pressures.
*TCS* India's largest IT services company, Tata Consultancy Services, recorded its steepest quarterly job reduction ever, laying off 19,755 employees in the September quarter as the company pivots toward AI-led automation. Chief Human Resources Officer Sudeep Kunnumal attributed the cuts to a "skill and capability mismatch" as traditional roles become obsolete.
Devin AI is an autonomous artificial intelligence assistant tool designed as an AI software engineer, created by the startup Cognition Labs. It is considered the world's first AI software engineer capable of independently performing software development tasks such as coding, debugging, planning, and deploying applications. Unlike previous AI coding helpers, Devin AI can take full ownership of coding projects from start to finish, including complex problem solving and software design.
**Perplexity AI** Perplexity AI core functionality, highlighting its live search integration Which differentiates it from static large language model knowledge bases. It details how queries trigger fresh web retrieval, populating a constantly updated index through internal crawlers and external search APIs.
This allows Perplexity to provide up-to-the-minute information and citations by leveraging real-time search results, with all answers featuring highlighted sources for transparency. The text further describes the Retrieval Augmented Generation (RAG) pipeline that embeds these fresh snippets for the LLM's use, ensuring current knowledge.
Hi Everyone!, Today we will see "How RAG Pipeline works in Perplexity.ai"
All of Perplexity’s answers (including Deep Research and standard queries) use a RAG (Retrieval-Augmented Generation) architecture built on Vespa.ai. Ingested source content (web pages, news, etc.) is indexed both as text and as vector embeddings
* Each document is stored with its raw content, metadata (timestamps, URL, etc.), and pre-computed embeddings. At query time, Perplexity embeds the user’s question and retrieves the top matches via a hybrid search (combining keyword matching, vector similarity, and metadata filters).
* Vespa’s custom ranking then refines this set using a learned model that weighs signals like query-document relevance and source authority.
* Next, the retrieved documents are augmented into the LLM context. Perplexity pipelines the top-ranked snippets into its answer LLM as additional context to ground the generation. The LLM (e.g. OpenAI’s GPT-4o, Anthropic’s Claude, or Perplexity’s own Sonar/Llama 3 models) then generates the answer, citing the sources provided. This hybrid workflow – “analyze → retrieve → augment → generate” – ensures the answer is up-to-date and fact-based.
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"Amazon says AI assistant Rufus drives $10B in sales"
Amazon's AI shopping assistant Rufus is generating an estimated $10 billion in annualized sales for the company, CEO Andy Jassy disclosed during the retailer's third-quarter earnings call Thursday. The announcement underscores how artificial intelligence is becoming a significant revenue driver for the e-commerce giant as it competes with tech rivals in the rapidly evolving AI landscape.
@AKwithAI #AI #amazon #aitech #aiattend
1 month ago | [YT] | 0
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"India wins first Women's World Cup title"
India scripted history on Sunday, November 2, defeating South Africa by 52 runs in the ICC Women's World Cup 2025 final at Navi Mumbai's DY Patil Stadium to claim their maiden world championship title. Captain Harmanpreet Kaur lifted the coveted trophy in front of a packed home crowd, ending the nation's decades-long wait for women's cricket's ultimate prize. 🏆✨
#india #WorldCup
1 month ago | [YT] | 0
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"Major Tech Giants Lead Massive Cuts"
*Intel*
Intel has announced the year's largest single downsizing, eliminating 24,000 positions—approximately 22% of its global workforce—as new CEO Lip-Bu Tan restructures the semiconductor giant to compete against rivals Nvidia and AMD. The cuts affect facilities across the United States, Germany, Costa Rica, and Poland, with the company targeting $17 billion in cost savings through 2025.
*Amazon*
Amazon confirmed it will cut 14,000 corporate roles across its operations, HR, and cloud divisions, with reports suggesting the total could reach 30,000 employees. CEO Andy Jassy described the restructuring as necessary to operate "like the world's largest startup," though he sparked controversy by claiming the cuts were driven by "culture" rather than AI or financial pressures.
*TCS*
India's largest IT services company, Tata Consultancy Services, recorded its steepest quarterly job reduction ever, laying off 19,755 employees in the September quarter as the company pivots toward AI-led automation. Chief Human Resources Officer Sudeep Kunnumal attributed the cuts to a "skill and capability mismatch" as traditional roles become obsolete.
@AKwithAI #AI #AKwithAI #AiTrend
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Welcome to AK with AI community
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AK with AI
Drop your thoughts in the comments below! I read every single comment and love hearing your perspectives.
@AKwithAI #KeepInnovatingWithAI! #DevinAI
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Which company specifically used Devin Ai to manage technical debt by merging up to 80 code updates weekly?
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Which financial institution took the 'historic move' of hiring Devin as its first AI employee?
#AkwithAI #devin AI #Nubank
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About "Devin AI" Tool
Devin AI is an autonomous artificial intelligence assistant tool designed as an AI software engineer, created by the startup Cognition Labs. It is considered the world's first AI software engineer capable of independently performing software development tasks such as coding, debugging, planning, and deploying applications. Unlike previous AI coding helpers, Devin AI can take full ownership of coding projects from start to finish, including complex problem solving and software design.
#devinai #DevinAI @AKwithAI
3 months ago | [YT] | 0
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**Perplexity AI**
Perplexity AI core functionality, highlighting its live search integration Which differentiates it from static large language model knowledge bases. It details how queries trigger fresh web retrieval, populating a constantly updated index through internal crawlers and external search APIs.
This allows Perplexity to provide up-to-the-minute information and citations by leveraging real-time search results, with all answers featuring highlighted sources for transparency. The text further describes the Retrieval Augmented Generation (RAG) pipeline that embeds these fresh snippets for the LLM's use, ensuring current knowledge.
@AKwithAI #perplexity
4 months ago | [YT] | 0
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AK with AI
Hi Everyone!, Today we will see "How RAG Pipeline works in Perplexity.ai"
All of Perplexity’s answers (including Deep Research and standard queries) use a RAG (Retrieval-Augmented Generation) architecture built on Vespa.ai. Ingested source content (web pages, news, etc.) is indexed both as text and as vector embeddings
* Each document is stored with its raw content, metadata (timestamps, URL, etc.), and pre-computed embeddings. At query time, Perplexity embeds the user’s question and retrieves the top matches via a hybrid search (combining keyword matching, vector similarity, and metadata filters).
* Vespa’s custom ranking then refines this set using a learned model that weighs signals like query-document relevance and source authority.
* Next, the retrieved documents are augmented into the LLM context. Perplexity pipelines the top-ranked snippets into its answer LLM as additional context to ground the generation. The LLM (e.g. OpenAI’s GPT-4o, Anthropic’s Claude, or Perplexity’s own Sonar/Llama 3 models) then generates the answer, citing the sources provided. This hybrid workflow – “analyze → retrieve → augment → generate” – ensures the answer is up-to-date and fact-based.
#akwithai #AItools #perplexity
4 months ago | [YT] | 0
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