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What Google Should Really Be Worried About
From BLOG@CACM

What Google Should Really Be Worried About

How sewers of lies could spell the end of Web search.

Inside the Heart of ChatGPT's Darkness
From BLOG@CACM

Inside the Heart of ChatGPT's Darkness

A Nightmare on LLM Street.

The Need For Combined Data And Analytic Governance
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.

Evaluating Research Results for Practical Applications
From BLOG@CACM

Evaluating Research Results for Practical Applications

The role of the application of research results in assessing the achievements of scientists.

Large Language Models like ChatGPT say The Darnedest Things
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?

Is ChatGPT Really a 'Code Red' for Google Search?
From BLOG@CACM

Is ChatGPT Really a 'Code Red' for Google Search?

Maybe not.

How do Authors' Perceptions about their Papers Compare with Co-Authors' Perceptions and Peer-Review Decisions?
From BLOG@CACM

How do Authors' Perceptions about their Papers Compare with Co-Authors' Perceptions and Peer-Review Decisions?

Does peer review change authors' perception of their own papers?

AI's Jurassic Park Moment
From BLOG@CACM

AI's Jurassic Park Moment

New systems like chatGPT are enormously entertaining, and even mind-boggling, but also unreliable, and potentially dangerous.

Turing, Churchill, and the Colossus
From BLOG@CACM

Turing, Churchill, and the Colossus

Did Turing collaborate on the Colossus?

The Legacy of Peer-to-Peer Systems
From BLOG@CACM

The Legacy of Peer-to-Peer Systems

What happened to peer-to-peer as a technological concept?      

What Does Meta AI's Diplomacy-Winning Cicero Mean for AI?
From BLOG@CACM

What Does Meta AI's Diplomacy-Winning Cicero Mean for AI?

Hint: It's not all about scaling.

Starlink's Critical Vulnerability, or Elon Musk is Not Worrying in Vain
From BLOG@CACM

Starlink's Critical Vulnerability, or Elon Musk is Not Worrying in Vain

We analyze the operations of the Starlink Global Satellite System deployed by SpaceX, in terms of its security and resilience.

Data Loss Prevention vs. Data-Centric Audit and Protection: What Is the Difference?
From BLOG@CACM

Data Loss Prevention vs. Data-Centric Audit and Protection: What Is the Difference?

A look at the typical tasks solved by DCAP systems, and how they differ from those solved by DLP systems.

Data Governance and the Psychology of Tension Management
From BLOG@CACM

Data Governance and the Psychology of Tension Management

The balancing of the chaos of no data tension and too much tension on data assets is what data governance frameworks and processes attempt to manage.

DevSecOps: Resolving Disagreements Between Developers and Security Teams
From BLOG@CACM

DevSecOps: Resolving Disagreements Between Developers and Security Teams

Conflicts and disputes can arise between these adjacent teams; it is impossible to avoid them in the process of launching new products. And they certainly require...

The Legacy of Barry Boehm
From BLOG@CACM

The Legacy of Barry Boehm

One of the founders of software engineering as we know it.

A History of One Brute-Force Attack
From BLOG@CACM

A History of One Brute-Force Attack

A classic brute-force attack boils down to guessing credentials. In my scenario, though, the perpetrators acted somewhat differently.

On the Ethics of Writing With AIs
From BLOG@CACM

On the Ethics of Writing With AIs

AI-generated text, even if accepted from an ethical standpoint, raises questions about the provenance of the generated text.

Why Are There So Many Programming Languages?
From BLOG@CACM

Why Are There So Many Programming Languages?

Most languages differ less in what they make possible, and more in terms of what they make easy. 

AI as (an Ersatz) Natural Science?
From BLOG@CACM

AI as (an Ersatz) Natural Science?

The emergence of large learned models is changing the nature of artificial intelligence research in fundamental ways.
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