What will the role of AI be in academic research?

AI can easily make novel discoveries because humans ignore them. Bold claim, zero proof. 💀 — Confidence Mismatch (45/100)

At 0:00

Declares AI can 'very easily' make novel discoveries — with no evidence to back that up. That's not a fact, it's a wish. 😈

Why this score: The speaker states AI can 'very easily' achieve a complex task like novel scientific discovery, then immediately pivots to human failings without providing any data or examples of AI actually doing this 'easily.' It's a confident assertion without the necessary support.

Original quote: “Actually, AI can very easily make novel scientific discoveries because most of the scientific discoveries”

Sources: AI bots ignore evidence. Can we trust them with science?, r/cogsci on Reddit: The reason AI's ability to autonomously make novel useful discoveries is probably overblown?, Have we entered a new age of AI-enabled scientific discovery?

Humans ignore discoveries, so AI will find them. That's a leap, not a logical step. 🚩 — Missing Context (45/100)

At 0:06

Blames 'humans ignoring' discoveries as the problem AI solves — ignores the actual reasons things aren't 'picked up.' 🙄

Why this score: The speaker attributes the underutilization of published research to 'humans ignoring it,' implying a simple oversight. This overlooks the complex reasons why research might not be widely adopted or cited, such as quality, relevance, methodology, or even the sheer volume of publications. It simplifies a nuanced issue to set up AI as the easy solution.

Original quote: “waiting to be discovered have been done by humans, but humans ignore it. Okay, we're publishing all kinds of stuff all the time, but relatively small percentage of it actually gets picked up by the academics who are supposed to be the gatekeepers of all of this knowledge being produced.”

Sources: Why AI Still Can't Make Creative Leaps Like Einstein, Have we entered a new age of AI-enabled scientific discovery?, How AI is Transforming Scientific Discovery While Keeping ...

Underutilized research is due to how academics are trained. That's a convenient, unproven link. 😈 — Confidence Mismatch (45/100)

At 0:20

Blames academic training for underutilized research — a confident assertion with no actual evidence. Pure speculation. 💀

Why this score: The speaker confidently states that the reason for underutilized research is 'because the way we are trained as academics.' This is a specific, causal claim about a systemic issue, yet no evidence or explanation is provided to support this direct link. It's presented as a definitive reason without any backing.

Original quote: “So there's a lot of published stuff out there that in fact is underutilized or not utilized at all. And the reason for that is because the way we are And the reason for that is... trained as academics is”

Academics are inherently biased algorithms 🚩 — Loaded Language (45/100)

At 0:32

Calling human academics 'biased algorithms' is a massive reach to sound profound 💀

Why this score: He's using high-concept metaphors to turn the simple concept of 'human error' or 'specialization' into something that sounds like a systemic flaw.

Original quote: “We have biases built into our algorithms, you might say, as human beings, as academics. In fact, those kinds of biased algorithms is part of what it means to be an academic.”

Uses a 40-year-old anecdote to prove AI's future potential 🍒 — Cherry-Picked (20/100)

At 0:58

Using one historical outlier from decades ago to justify a future tech revolution is peak cherry-picking 🍒

Why this score: He's using a single, specific success story from 40 years ago to create a bridge to modern AI, ignoring how much more complex current data structures are compared to old library science.

Original quote: “And in fact, this has been demonstrated. Forty years ago... there was this phenomenon of undiscovered public knowledge that was introduced by the library information scientist Don Swanson.”

Sources: r/Futurology on Reddit: An AI expert of 40 years told me his take on AI, The AI Revolution: The Road to Superintelligence, r/ArtificialInteligence on Reddit: He’s Been Right About AI for 40 Years. Now He Thinks Everyone Is Wrong.

Predicts routine science will be replaced by AI without proof 🎭 — Confidence Mismatch (45/100)

At 1:44

He's making huge predictions about the death of 'routine science' with zero data to back it up 💀

Why this score: The speaker pivots from a historical anecdote to a sweeping prediction about the future of entire scientific disciplines, but he's only offering 'reasoning,' not actual evidence or projections.

Original quote: “And this is why I think there's a reasonable reason to think that a lot of the kind of more routine science that we've done, we do nowadays will be replaced by AI.”