Disclosure certainty 4/5 debate potential 3/5

Becker: Stopped Investing in Personal Software Engineering Skills Due to AI

Joel Becker · Measuring Exponential Trends Rising (in AI) — Joel Becker, METR · Feb 27, 2026 · at 59:13

Joel Becker, an AI safety researcher at METR, explains how rapid AI progress alters personal decisions around developing technical skills.

0:00 / 0:05exact quote · 5.3s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“Intentionally not investing in engineering skills, because the areas are getting so good, maybe that's the wrong decision.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Joel Becker

Opinion
Becker: Overly Bullish AI Developer Speedup Estimates Are Inflated
“I do think that very bullish estimates of speed up today are, you know, to some extent inflated by what we document in that original paper, that people's expectations of speed up tend to be too optimistic, it seems. They also tend to be inflated, I think, by n…”
Joel Becker Feb 27, 2026 ▶ 20:08 Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
Prediction Not checkable as stated
Becker: Operational Long Tail Will Delay Full AI R&D Automation
“There's this, Very long tail of things potentially involved in in R&D that would perhaps need to be fully automated in order to lead to capabilities explosion. I expect we're measuring, you know, in some ways only, only a small proportion of, only a small prop…”
Joel Becker Feb 27, 2026 ▶ 31:52 Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
Insight
Becker: Algorithmic Progress in AI Is Strictly a Function of Compute
“The suggestion in this paper is that if you think that algorithmic progress, you know, that, that is coming up with the transformer, coming up with RLHF, you know, MOEs, all of this stuff, better learning rate schedules is, is is itself a function of compute b…”
Joel Becker Feb 27, 2026 ▶ 35:18 Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
Prediction Not checkable as stated
Becker: Halving AI Compute Growth Halves Algorithmic Progress and Milestones
“And both of them both of those components half when compute halves sort of trivially, because compute is halving, and algorithmic progress halves because compute is this important input, and compute halves, then you might expect time horizon growth to half. An…”
Joel Becker Feb 27, 2026 ▶ 36:12 Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
Insight
Becker: AI Scaffolding Value Does Not Persist Across Model Generations
“Within model generation, it's valuable, and across model generations, it's not so valuable.”
Joel Becker Feb 27, 2026 ▶ 59:09 Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
Assertion Supported
Becker: Current Frontier Models Cannot Cause Catastrophic Harm
“We find, we think it's not capable enough, you know, on the basis of some of this capabilities evidence that you've alluded to commit these catastrophic harms.”
Joel Becker Feb 27, 2026 ▶ 2:34 Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.