CategoryArtificial Intelligence
AI in Biology: The Future AI Didn’t Predict
It doesn’t look like the past. Physical systems that evolve over time but don’t follow a fixed formula have always presented a deep challenge to AI
AI in Biology: The Disease Connection — When Proteins Go Wrong
Some of the most crucial proteins for human health—the ones we need to understand most urgently—are the very ones that AI has the hardest time modeling
Today’s Startups Are Doing Much Worse Than Those of the Past
The percentage of startups profitable at IPO time has steadily declined since the 1980s and most valuable ones take longer to become profitable
How to Build an AI Company: Advice from a Seasoned Entrepreneur
In the podcast, Copps emphasized the necessity of remaining flexible and open to change: “Don’t be married to your idea.”
AI in Biology: So Is This the End of the Experiment? No.
But a continuing challenge is that many of the most biologically important proteins don’t adopt a single stable structure. Their functions depend on structural fluidity
No End in Sight for AI’s Invasion into Higher Education
Teaching students to write is to teach them to think
AI in Biology: What Difference Did the Rise of the Machines Make?
AI works very well for proteins that lock into a single configuration, as many do. But intrinsically disordered ones don’t play by those rules
AI in Biology: AI Meets Intrinsically Disordered Proteins
Protein folding — the process by which a protein arrives at its functional shape — is one of the most complex unsolved problems in biology
AI Entrepreneur Seeks To Empower Others Through Innovation
David Copps came back from split-brain surgery determined to use his entrepreneurial skills to empower others.
Why Humans Aren’t That Biased, and Machines Aren’t That Smart
Claims about the cognitive biases that supposedly overwhelm our judgment should be taken with a helping of salt
The Human Mind’s Sophisticated Algorithm and Its Implications
Winston Ewert argues that if some human cognition is algorithmic, that fact does not necessarily support a purely naturalistic view of intelligence
Unequal Profits: Why AI Needs Successful Applications
Readers may be surprised to learn that these widely touted AI advances are not making their developers much money
Joe McDonald: How AI Can Complement Human Capabilities
Despite its limitations, AI excels in areas where humans struggle, such as analyzing large datasets, identifying patterns, and automating repetitive tasks
Why We Must Not Use AI In Ministry: Response to Jay Owen
An open letter to Jay Owen, a popular proponent of AI in ministry
Beyond the Physical: Exploring the Nature of the Mind
A recent podcast panel challenged the prevailing materialist assumptions about the mind and explored better accounts of the richness of human consciousness
AI and the Destructive Lies of the Tool Trope
You've heard this, right? “Technology isn’t good or bad; it’s a tool, it’s just how you use it that matters.” False.
AI Specialist Explains Why AI Can’t Replicate Human Experience
A profound recent experience crystallized the difference for him between brain and machine
Cognitive Psychology and AI: Exploring Their Intersection
Cognitive psychology can be contrasted with behaviorism because it investigates the black box of mental processes