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- 🧙🏼 Claude, the data analyst
Howdy, wizards.
Having spent a fair amount of time playing Magic The Gathering, I was excited to see Ethan Mollick testing the upgraded Claude to try to play this complex game online – with AI moving the mouse and clicking around the screen. While it did well on the overall strategy, it struggled on calculations. It might not be totally ready for autonomous play yet, but I wouldn’t be surprised if that changed soon.
Here’s the most interesting things brewing in AI this Friday.
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Anthropic has been on fire this week. After launching computer use and upgraded Claude 3.5 models earlier this week, Claude is now 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. The way it works under the hood, is that there’s a built-in code sandbox running Javascript.
Anthropic highlighted 5 ways you could start analyzing data with Claude:
Marketing: upload customer interactions and have Claude find opportunities to improve conversions.
Sales: upload global sales data and have Claude analyze it by country.
Product management: upload customer engagement data and have Claude help inform development priorities.
Engineering: upload performance logs and have Claude identify areas for better resource utilization.
Finance: upload monthly financial data and have Claude create a dashboard on key trends.
Why it matters 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. For example, cleaning and exploring data directly in Claude can now be done with much better precision and full reproducibility. You can then focus the AI’s reasoning capabilities on interpreting the results of your analysis — a workflow much closer to a human data analyst.
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OpenAI is reportedly disbanding its AGI Readiness team, which was responsible for advising on the company’s preparedness for artificial general intelligence (AGI) and the world’s readiness to manage it. This decision follows the departure of Miles Brundage, the former senior advisor for AGI Readiness, who announced he is leaving to pursue his research externally, believing it will be more impactful outside the company. The team’s members will be reassigned within OpenAI.
This move comes after the dissolution of OpenAI’s Superalignment team in May, just a year after its formation. The Superalignment team focused on steering and controlling superintelligent AI to prevent it from “going rogue.”
These changes occur amid a series of executive departures and restructuring at OpenAI toward a for-profit model.
On a related note, the U.S. government released a memorandum ordering Pentagon and other AI agencies to increase their use of AI, while creating clear guardrails. OpenAI responded with a blog post reaffirming its commitment to responsible AI development, and detailing how they’re cooperating with the government.
Why it matters OpenAI’s development when it comes to AI safety is indeed worrisome, thinking about how the top safety staff has left one after another over the last year and the open letter warning about lack of governance and serious risk, published by current and former team members. Brundage claims that it’s not just OpenAI who are unprepared for AGI – saying none of the frontier model companies are ready for what’s to come.
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