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The Sunday recap✨
Your weekly AI catch-up is here
Howdy, wizards.
⏪ I’m back with the Sunday recap, a distillation of only the most impactful things that happened in the world of AI this week.
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Let’s dive right into it.
THE SUNDAY RECAP — NEWS
THE LINKS YOU ENGAGED MOST WITH THIS WEEK
1. ChatGPT’s new features: web search, chat history, AVM on desktop
OpenAI went on a shipping-spree this week, launching several amazing new features.
ChatGPT just got a way better web search. We’re talking up-to-date answers with relevant sources cited. It allows you to search the web by chatting, and remembers the context when you ask follow-up questions. AI search is unlikely to overtake Google search anytime soon though; it still hallucinates and is overconfident when faced with ambiguity. This might change over time, though – one thing OpenAI says they’re working on to improve the search feature is leveraging the o1-models reasoning capabilities. → Read the full newsletter here.
ChatGPT now has searchable chat history. OpenAI announced one of its most requested ChatGPT features: the ability to search through your chat history. Uses local indexing and is quite fast. It’s available in the upper left corner of your ChatGPT interface, next to where you click to start a new chat. fingers crossed for some folders to organize chats next. → Read the full newsletter here.
ChatGPT’s Advanced Voice Mode is now available on desktop. OpenAI announced that Advanced Voice Mode has now arrived to the ChatGPT desktop app. It works as a floating window on your screen, so you can interact with other apps while using it. Tested it for a bit and really like it but – the real power from this will be when it is combined with vision + computer use-type capabilities. → Read the full newsletter here.
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Key execs from OpenAI did an AMA on Reddit this week, including Sam Altman (CEO) and 4 others. They just spilled a lot of tea about their strategic priorities. Some key insights:
👀 Sam Altman believes AGI is achievable with current hardware. He also confirmed they have some “very good releases” coming later this year, but no new model that will be called GPT-5, though – the team is prioritising o1 and its successors.
A underutilized use case is uploading personal knowledge (course notes, travel recommendations, etc) to a custom GPT for others to use.
Sam Altman seems generally positive about applications of ChatGPT as a therapist. His favourite ChatGPT use case? Stories of people using ChatGPT to find causes of a debilitating disease.
Best way to get AI skills? Use it for everything.
Q: “What did Ilya see?” A: “the transcendent future”.
→ A bunch of more insights in the full newsletter here
Perplexity is transforming the way they show answers to sports-related queries, giving their user interface AI superpowers. When prompted with questions about sports, Perplexity will give you a sexy dashboard with game summaries, stats, and comparisons across players and teams. So far it’s only NFL that’s supported but NBA, EPL, La Liga, Champions League and more are coming soon.
→ Read the full newsletter here
Meta is reportedly also developing a search engine that does “conversational answers” to queries, similar to Google’s AI overviews and now also ChatGPT Search. The goal is to reduce its reliance on Google and Microsoft for providing these answers to its users through it’s Meta AI chatbot. No launch date yet. With Google and OpenAI recently expanding their AI search capabilities, it’s no wonder Meta—with its AI infra, distribution and financial means to be doing crawling at that scale—is also jumping into the search game.
→ Read the full newsletter here
Wharton and GBK collective just published a detailed report on how businesses are adopting Gen AI, based on a longitudinal study of over 800 senior leaders. Weekly Gen AI usage was at 72% in 2024 (up from 37% in 2023), and is especially used in departments like Marketing and HR. Gen AI shines in tasks like data analysis and contract drafting, but is still far from a game-changer for all business functions. Check out the report here: Executive summary | Full report
→ Read the full newsletter here
THE SUNDAY RECAP — REAL-WORLD USE CASES
MY BREAKDOWN OF THE MOST IMPACTFUL REAL-WORLD USE CASES OF AI
This week, I’ve taken a look at how SaaS companies are using AI models to power up their workflows and products. From making their product more useful to customers to super-empowering their non-technical teams internally – SaaS companies are embracing AI across their operations.
Here’s 4 fresh examples:
Microsoft utilizes Copilot and the new autonomous agents internally across sales, customer support, marketing, and HR departments. Sales use Copilot to power insights and automate routine tasks, achieving 20% more deals. Customer support resolves cases nearly 12% faster, marketing saw a 21.5% increase in conversion rates with a custom agent assisting buyers, and HR improved answer accuracy by 42% with an employee self-service agent.
Notion uses Claude to improve its product, offering AI features like Q&A, autofill, and writing assistance. The features have saved Remote.com 10 minutes per search across 300 queries daily and dbt Labs, it eliminated the need for additional AI tools saving over $35k annually.
Gumroad, an e-commerce platform for digital creators, uses Claude 3.5 Sonnet to enable customer support teams to fix issues with code and contribute to product development. This has led to a 300% increase in feature shipping, faster feature deployment, and reduced context switching for engineers. Claude assists them in writing code, locating files, and resolving customer issues.
Zoom collaborates with Perplexity to enhance its AI Companion by integrating multiple AI models, including Anthropic, OpenAI, and Meta, to provide richer insights during Zoom calls. The AI Companion 2.0 understands user workflows and tracking tasks, in addition to meeting summaries.
→ Read the full newsletter here
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