Sunday, October 27, 2024

TL;DR 28Oct24 ... Anthropic's new agent ... Other new Big Tech agents

Last update: Monday 10/28/24 
Welcome to our 28Oct
24 TL;DR summaries by Chat
GPT + podcast of the past week's top 2 stories on our "Useful AI News" page. As usual, the podcast audio is a recording of the Descript app reading ChatGPT's summary in AI imitations of the voice of the editor of this blog and the voices of other AI members of the blog's staff ... This week's top stories were about the arrival of the first wave of Big Tech's long awaited AI agents ... 1) Anthropic's "Compute Use" agent and (2) Other Big Tech agents
Audio podcast ... 21 min 
   
If audio fails to start, or gets stuck, try reloading the page
TL;DR link  HERE

A. ChatGPT's TL;DR summaries of Top 2 stories 

1) "Anthropic’s agentic Computer Use is giving people `superpowers`"
-- Taryn Plumb, 
VentureBeat, 10/24/24  
-- This story also covered by WiredTechCrunchBloombergCorbin Brown's demo (YouTube video) ... and Anthropic

PROMPT:
Here comes the text for two articles. Provide a concise summary of first article; then provide a more detailed summary of the second article. The summaries should be understandable by computer savvy college graduates
RESPONSE:
VentureBeat Summary:
Anthropic’s new AI capability, “Computer Use,” embedded in their Claude model, enables autonomous computer operations akin to human usage. Early users report it handles repetitive tasks, research, and data gathering autonomously. The model can “see” screens, navigate apps, type, and even handle CAPTCHAs, allowing users to assign a broad range of digital tasks to it. By automating these workflows, Claude has been hailed as a “superpower” for handling laborious processes like data retrieval and research.

WIRED Summary:

The WIRED article covers Anthropic’s release of a new, advanced version of its AI model, Claude, which has agentic capabilities allowing it to control computers and perform complex tasks independently. This development marks a shift toward enabling AI to manage not only communication but also functional, tool-based operations on par with human computer use. These capabilities include the ability to navigate operating systems, perform web searches, type using a virtual keyboard, and even simulate mouse clicks.
Jared Kaplan, Anthropic’s chief science officer, emphasizes that this agentic capacity in Claude represents a new era for AI, where models can use the full suite of tools on a computer to complete tasks typically handled by humans. In one demonstration for WIRED, Claude was shown organizing a sunrise outing at the Golden Gate Bridge by searching for the best time and location for viewing, creating a calendar event, and sharing it. In another demo, Claude created a website, debugging code in Visual Studio Code and running the website on a basic server. These examples reveal its ability to problem-solve and execute commands across different applications autonomously.

Anthropic has released these agentic capabilities through the Claude 3.5 Sonnet API, which integrates its functions with external applications to automate tasks like those often seen in office environments. Companies like Canva, Replit, Asana, and Notion are early adopters, testing how Claude’s automation can help streamline design, editing, and coding tasks. For example, Canva uses it to automate design processes, while Replit leverages it to assist in coding.

While Claude’s potential is vast, Anthropic acknowledges the model’s limitations. Although Claude outperforms many current AI agents on specific benchmarks—such as SWE-bench, assessing software development skill, and OSWorld, which measures an agent’s ability to use operating systems—its accuracy still trails human performance. On OSWorld, Claude achieves a 14.9% success rate compared to the 75% success rate typically achieved by humans. The challenges of managing complex tasks, accurately planning, and recovering from errors highlight current constraints in real-world application. For example, Princeton researcher Ofir Press notes that although Claude demonstrates useful capabilities, achieving high performance consistently across practical tasks is still a hurdle. Missteps in executing commands, misinterpreting prompts, or failing to adjust effectively are potential risk points, especially where accuracy is critical.
This controlled autonomy raises new questions for AI governance and safety, prompting Anthropic to restrict Claude’s abilities to reduce the likelihood of misuse. The model has certain actions constrained—such as any transaction involving credit cards—to avoid unintentional or harmful actions. Such limitations underscore the delicate balance between empowering AI with broader abilities and ensuring safe, responsible use.

The article also positions Anthropic’s developments in a competitive landscape, noting that other tech giants, such as Microsoft and Amazon, are investing heavily in similar AI agent research. Amazon, a major backer of Anthropic, is exploring agentic uses within its e-commerce platform, while Microsoft is developing agents capable of operating within Windows. According to Sonya Huang, a venture partner at Sequoia, such agentic AI developments, while promising, are more impactful in specific, narrow applications like coding, where controlled environments allow for error tolerance. She suggests that in these spaces, AI can flourish and eventually give rise to new, agent-native companies.

Anthropic’s move into agentic AI marks a strategic step toward creating more autonomous and capable digital assistants. As these models improve in reliability, the technology could reshape user interactions with computers and, potentially, change the workplace by offloading mundane digital tasks to AI agents. However, realizing this vision depends on solving technical challenges related to precision and control, ensuring the agents operate effectively and safely in diverse environments.


2) Other recent announcements of agents  
Editor's Note -- ChatGPT's summaries of the product announcements in this section was not covered by our podcast because Salesforce announced that its AgentForce agentic apps officially went on the market on 10/29/24. Salesforce is now at least three months ahead of Anthropic, Microsoft, and Google. When will OpenAI join this race? We expect to provide a detailed summary of AgentForce in our TL;DR and podcast next week.

-- Salesforce (Bloomberg-1Axios) ... and Salesforce
-- Microsoft (Bloomberg-2ZDNet) ... and Microsoft
-- Google (The VergeThe Information)

PROMPT:
Here comes the text for three articles. Provide a concise summary of each article. The summaries should be understandable by computer savvy college graduates
RESPONSE:
Bloomberg-1 Summary:
Salesforce CEO Marc Benioff announced at the Dreamforce conference that Salesforce’s new AI agents, designed for business clients, allow tasks to be automated without the need for user intervention. This approach removes the need for companies to develop their own AI solutions, offering Salesforce’s agent package as a ready-to-use alternative. These agents can handle repetitive tasks in customer service and sales, and their release is expected to boost workforce productivity. Benioff also addressed cybersecurity, noting that while Salesforce’s systems are secure, clients must implement their own anti-phishing measures.

Bloomberg-2 Summary:
Microsoft is launching autonomous AI agents for tasks such as sending emails, managing records, and handling sales leads, ramping up competition with Salesforce and others in the business AI space. These agents, part of Microsoft’s Copilot suite, operate in collaboration with users or independently to complete routine tasks, aiming to save companies significant time and costs. The agents will roll out in a phased public preview from December to early 2025, with custom-build options through Copilot Studio. As AI agents gain traction across various platforms, competitive dynamics between companies like Microsoft and Salesforce are heating up, with each vying for adoption in real-world applications.

The Verge Summary:
Google is reportedly developing “Project Jarvis,” an AI system that can perform web-based tasks such as research, shopping, and booking travel, directly in a Chrome browser. Part of Google’s Gemini project, Jarvis can interpret screenshots and input actions autonomously, although it currently operates with slight delays between tasks. The tool aligns with similar efforts from major tech players like Microsoft, Apple, Anthropic, and OpenAI, all of which are working on AI models capable of automating various computer interactions. Google may unveil Jarvis to a limited user group in December, pending testing and refinements.

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