Communications of the ACM
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From BLOG@CACM
GPT-4's Successes, and GPT-4's Failures
How GPT-4 fits into the larger tapestry of the quest for artificial general intelligence.
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part Two
"When I heard we will be learning Python, I became anxious."
From BLOG@CACM
Cybersecurity Mistakes to Avoid at All Costs
Preventing unauthorized access or misuse of confidential data.
From BLOG@CACM
Twiddler: Configurability for Me, but Not for Thee
Online platform businesses have a distinctly more abusive and sinister character than brick-and-mortar retail chains.
From BLOG@CACM
The Urgency of the Technological, Geopolitical, and Sustainability Races
The HiPEAC Vision 2023.
From BLOG@CACM
Enabling AI Projects In An Enterprise
Identifying the development behaviors that have the highest chance of success for artificial intelligence efforts.
From BLOG@CACM
Serendipity: When Research in One Area Leads to a Positive Result in Another
A problem of the extremely optimal family of circulant graphs: when research in one scientific field gives an unexpected result in another.
From BLOG@CACM
How Not to Test GPT-3
Why doing psychology on large language models is harder than you might think.
From BLOG@CACM
Using GitHub CoPilot is Like Having a Superpower
With the advent of Large Language Models (LLMs) and tools like GitHub CoPilot, I think we’re a step closer towards a world where software can be created by anyone...
From BLOG@CACM
ChatGPT for Provost!
Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the...
From BLOG@CACM
What Google Should Really Be Worried About
How sewers of lies could spell the end of Web search.
From BLOG@CACM
What is an Author?
In a single-author text (such as this one), we can assume a lot about the process. In the multi-author case, all these assumptions start to break down.
From BLOG@CACM
The Need For Combined Data And Analytic Governance
Numbers don't mean anything if people don't understand, or trust, the computation behind them.
From BLOG@CACM
Evaluating Research Results for Practical Applications
The role of the application of research results in assessing the achievements of scientists.
From BLOG@CACM
Large Language Models like ChatGPT say The Darnedest Things
ChatGPT makes the same kinds of mistakes its predecessors did. What can and should we do about it?
From BLOG@CACM
The ChatAlgebra Educational Revolution
We need a ChatAlgebra revolution to reduce the gatekeeping role of the traditional Algebra course, to ameliorate the student suffering associated with the traditional...
From BLOG@CACM
What to Expect When You're Expecting ... GPT-4
What comes after ChatGPT? Seven predictions for 2023.
From BLOG@CACM