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Howdy, wizards.
⏪ I’m sending out a weekly recap email on Sundays with all the best links I’ve shared during the week which you might have missed.
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THE SUNDAY RECAP — NEWS
THE MOST IMPORTANT DEVELOPMENTS IN AI THIS WEEK
We're gradually moving from managing AI to do individual steps of a process, to delegating whole tasks. Anthropic released an early version of “computer use” which allows an AI to, well, use a computer. Claude can now do things like taking screenshots, moving your cursor around the screen, clicking and typing text – emulating how humans interact with computers. Computer use is now in public Beta, available to developers via API.
→ Read the full newsletter here
In addition to computer use – which I felt deserved to be explained separately – Anthropic upgraded Claude 3.5 Sonnet, improved across the board from its predecessor (especially on coding) and launched Claude 3.5 Haiku, a new cheap and fast model. The upgraded Claude 3.5 Sonnet model shows improvement on the coding benchmark SWE-bench 33.4% to 49.0% – higher than all publicly available models, including OpenAI’s o1-preview. Anthropic is delivering a one-two punch to OpenAI by launching a state-of-the-art coding model—coding being one of the key revenue drivers for ChatGPT—together with computer use.
→ Read the full newsletter here
Starting next month, Microsoft is letting users create custom AI workers in Copilot Studio, as the agent builder moves from private to public preview. Based on OpenAI’s o1 models, agents can be used to automate tasks of various levels of complexity – from simple prompt-and-response to multi-step business processes. Microsoft is also launching 10 pre-built agents inside Dynamics 365, including agents for sales, service, finance, supply chain and more. Microsoft’s calls these agents “the new apps for an AI-powered world” which indicates they’re highly confident in their impact.
→ Read the full newsletter here
Worldcoin, the human-identity project co-founded by OpenAI CEO Sam Altman, has rebranded itself to just World, and introduced an updated version of its eyeball-scanning Orb device which has so far verified 7 million humans worldwide. The Orb is a hardware device that scans peoples’ irises to prove online that they’re human and not AI. The updated Orb is cheaper and easier-to-produce — intended to make the device widely available. The company is working out the many privacy issues surrounding the project, and is currently facing bans in several places, including Europe and Hong Kong, due to privacy concerns.
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It’s not just computer use and a new base model – Claude is getting some data analysis superpowers as well. The analysis tool allows Claude to do complex math, systematically process and analyse data, and iterate on ideas before sharing its response with you – meaning you can actually get accurate answers from data. It’s similar to how Code Interpreter works in ChatGPT, but in Claude and also leveraging the new Sonnet 3.5-models’ powerful coding skills. With Claude now being able to not just write code, but run that code within the Claude interface, you can use it to do precise operations, rather than just reasoning tasks.
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Anthropic surfaced a great case study on how the European Parliament is turning weeks of archival research into seconds. They’ve used Claude to create Ask the EP Archives (also known as Archibot), an AI assistant that gives users instant, multilingual access to the 2.1 million official documents that have been produced and received by the Parliament all the way back to 1952. It retrieves and summarises relevant docs like like resolutions, positions, policies, and inter-institutional negotiations to help users understand the information quickly. Search time for documents has been reduced 80% since the launch, while use of the database is up 10x (!). It’s refreshing to see legacy and bureaucratic institutions finding ways to dramatically improve their customer experiences with gen AI.
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THE SUNDAY RECAP — REAL-WORLD USE CASES
MY BREAKDOWN OF THE MOST IMPACTFUL REAL-WORLD USE CASES OF AI
Each week I’m highlighting fresh, real-world examples on how top companies in different industries are using large language models.
Here’s the ones I’ve showcased this week:
DATA & ANALYTICS
Ipsos used Gemini 1.5 Pro and Flash to create an internal tool that allows market researchers to pull real-world data from Google Search for analysis. It saves the company time by eliminating time-consuming requests to data-analysts.
MetaLearner is using Meta's Llama 3.1 to make ERP systems like SAP and Oracle easier to work with, helping non-technical users retrieve data and do forecasting. It uses AI to power functions like data summarization, online search and text-to-SQL, they’re enabling informed decision making without the need for specialized expertise.
Dun & Bradstreet created an AI search with Google’s Gemini to help customers with complex queries like "Find me all the companies in this area with a high ESG rating". They’ve also built an AI-powered email-generation tool that helps sellers create tailored, personalized communications to prospects and customers for its research services.
BigDataCorp, a data analytics and consulting firm from Brazil, uses Mistral AI models hosted on AWS Bedrock to enable client businesses to dive deeper into their data using natural language.
→ Read the full newsletter here
RECRUITMENT
Upwork integrates OpenAI’s GPT models into their customer-facing apps with UMA – Upwork’s Mindful AI. On one side, UMA helps companies hire more effectively by identifying the best matching talent (with sleek side-by-side comparisons) and a job post generator. On the other, it helps freelancers write more effective proposals directly on Upwork’s platform. SOURCE (AUGUST 2024)
Indeed uses OpenAI's GPT models for contextual job matching in its 'Invite to Apply' feature, offering personalized job recommendations with detailed explanations as to why a candidate is a good fit. This implementation led to a 20% increase in started job applications and a 13% uplift in downstream hiring success. SOURCE (AUGUST 2024)
LyRise, a recruitment platform connecting companies with AI experts from the Middle East and North Africa, uses Meta's Llama models to implement AI-driven candidate matching, reducing time-to-hire by 50%. SOURCE (AUGUST 2024)
Tabiya, a company that helps young people find employment, has built a chatbot powered by Google’s Gemini that asks candidates questions, draws out skills and experiences and matches those to appropriate roles. SOURCE (SEPTEMBER 2024)
Randstad, a global recruitment company, uses Gemini for Workspace across its organization for writing job ads in different languages with AI in Google Docs and translating speech when interacting with candidates in Google Meet. SOURCE (SEPTEMBER 2024)
→ Read the full newsletter here
MEDIA & ENTERTAINMENT
VG, a leading news outlet in Norway, developed an internal AI toolbox that enhance journalists' ability to write, research, and investigate more efficiently. For example, they have a tool that extracts information from text and visualizes relationships between entities as network graphs, which helps journalists in understanding complex connections. SOURCE (JUNE 2024)
Jumpcut Media, a company making AI-powered tools for the entertainment industry, uses Claude 3 Opus to power its ScriptSense product, which generates comprehensive script coverage—a specific report for a screenplay including scene summaries and character breakdowns. This helps Hollywood studios, agencies, and production companies save time by evaluating scripts in seconds. SOURCE (JULY 2024)
Scribd, a digital document library, uses Claude from Anthropic to automatically generate high-quality metadata for over 100 million user-uploaded documents across its platforms Scribd and SlideShare. This improves content discoverability and drives user engagement, leading to a 7% increase in subscriptions. SOURCE (SEPTEMBER 2024)
Full Fact, a UK-based nonprofit working in 18 countries to combat misinformation, is using Google’s gen AI solutions to actively monitor stories, allowing its 30 fact-checking partner organizations to focus on handling specific claims and harmful information. SOURCE (SEPTEMBER 2024)
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THAT’S ALL FOLKS!
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