/AI2h ago

Anthropic Report: Claude Mythos 5 Cannot Replace Research Scientists or Engineers

Story Overview

Anthropic's internal document on Claude Mythos 5 highlights that the model still trails senior human researchers and engineers on core tasks, even after gains over Opus 4.7 and 4.8 in targeted benchmarks for cybersecurity, biology, and long-horizon work.

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Original post
Lisan al Gaib@scaling01#975inAI

Anthropic: "Claude Mythos 5 does not seem close to being able to substitute for our Research Scientists and Research Engineers"

10:13 AM · Jun 9, 2026 · 37.2K Views
Open Question

Limits on automated research speed

The assessment finds no sustained 2x acceleration in AI progress and echoes the April 2026 system card conclusion that Mythos 5 has not crossed the automated AI-R&D threshold.

Developer Impact

Access split with a safer sibling model

Mythos 5 remains invitation-only via Project Glasswing while the related Claude Fable 5 ships publicly with stricter safety constraints for general reasoning and engineering use.

Sentiment

Users reacted negatively to Anthropic's report that Claude Mythos 5 cannot replace research scientists, expressing disappointment over limited R&D automation and setbacks to academic AI research.

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3 comments with sentiment.
Cluster Engagement
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Lisan al Gaib@scaling01

"Mythos 5 is likely unable to fully and reliably automate R&D for frontier projects spanning multiple weeks"

Lisan al Gaib@scaling01

Anthropic: "Claude Mythos 5 does not seem close to being able to substitute for our Research Scientists and Research Engineers"

2hViews 11.8KLikes 155Bookmarks 15
Nathan Lambert@natolambert

@scaling01 yeah and better pull up the ladder too if that R&D problem thats failing is academic AI research

Lisan al Gaib@scaling01

"Mythos 5 is likely unable to fully and reliably automate R&D for frontier projects spanning multiple weeks"

1hViews 1.4KLikes 24Bookmarks 0
my name is fred@__lightyear__

@scaling01 timelines lengthened

2hViews 265Likes 4Bookmarks 1
Matt Gibson@MattGibsonMusic

This is actually the important calibration.

Mythos can be wildly useful and still not substitute for strong researchers.

Those are different claims.

Long-horizon execution ≠ scientific judgment. Parallel agents ≠ research taste. More tokens ≠ epistemic authority. A 9-hour artifact ≠ a verified discovery.

The danger is not that the model is useless.

The danger is users treating impressive autonomy as proof of truth.

Capability is GAS until it survives reality testing.

cc @ericweinstein who is championing the public outcry of federal government cuts in scientific research. We need MORE scientists to validate AI. It is NOT SMARTER THAN US.)

1hViews 1.1KLikes 1Bookmarks 1
Cajun Bobby@brsgr4049

@scaling01 Big difference between replacing human engineers entirely and getting more output from half the headcount. The latter still causes a social crisis and is already plausible

1hViews 419Likes 1
Reyaa@snr_boost

@scaling01 "AntHroPic sTopPed hIrInG L5 aNd BeLoW"

1hViews 776
nous@NousVault

@scaling01 just not yet, maybe on mythos 10

1hViews 66
Patty@Patty_H93

@__lightyear__ @scaling01

1hViews 45
FateOfMuffins@FateOfMuffins

@scaling01 So it's possibly capable to fully and reliably automate R&D for frontier projects spanning *a single week*

27mViews 33
Tony@Tony54381404

@scaling01 Unable to do tasks spanning multiple weeks🤔 Maybe it is just a memory problem?

52mViews 30
rajveer@rajveerbach

@scaling01 Loops...:(

1hViews 18

@scaling01 mythos 5 sounds like a metal album

1hViews 11