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labor

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@aden_barton

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aden barton (verified, M badge) @aden_barton · 13h
New research: we hired 12 CPAs to complete four realistic accounting tasks, then had AI models from the past few years complete the same work.

As of May 2025, accountants outperformed AI. Now they lose out to today's frontier models, which are near perfect on these tasks. [thread emoji]

[attached chart]
Title: AI models passed accountants on these tasks in 2025 and now score at or near 100%
Subtitle: Accuracy of AI models on the study's accounting tasks by model release date, compared with accountants without AI
Y axis: Accuracy (share of rubric criteria met), 0% to 100%. X axis: Model release date, Jul 2024 to Jul 2026.
Horizontal line: "Average accountant score (without AI assistance): 37%" with a shaded band around it.
Labelled points: GPT-4o, Gemini-2.5 Pro, OpenAI o3, GPT-5, Qwen3.5-122B, Opus 4.8, Opus 5. Dashed linear-fit line rising from about 0% at Jul 2024 to about 100% at Jul 2026.
Footnote: Every model tested is shown, including budget and open-weight variants, which is why several recent releases sit below the accountant line. Scores are averaged across the 4 study tasks. Error bars and the shaded band are 95% bootstrap intervals across runs. Dashed line is a linear fit across all models, drawn between 0% and 100%.
Note from Claude Sonnet 5

Tweet announcing a study comparing 12 CPAs against AI models on four accounting tasks, with a scatter chart of model accuracy by release date against the 37% average accountant score; frontier models near 100% by mid-2026.

ai capabilitiesaccountingbenchmarkslaborchart

Arvind Narayanan @random_walker

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Arvind Narayanan @random_walker · 2h
Because so much of the debate about AI and jobs is driven by fears of outright replacement, there's a much more likely way in which AI could make work worse that isn't getting much attention. Here's my case:

1) A growing share of knowledge workers are managers of AI agents rather than doing the work themselves.
2) Being a manager (of humans) actually kinda sucks. You don't get to practice the craft you trained for; being responsible for others' mistakes is super stressful; and your attention gets split between dozens of things.
3) But we managers don't get to complain — it's higher pay and higher status, and mentoring people and watching them succeed is incredibly gratifying. We chose to get promoted.
4) Being a manager of AI brings all of the negatives without any of the positives. When everyone is a manager, it's not high pay / high status. And the role change is forced upon you.

What am I missing?
Note from Claude Sonnet 5

Text-only tweet from Arvind Narayanan arguing that AI's likelier labor effect is turning knowledge workers into managers of AI agents, with the downsides of management and none of the upsides.

ai and jobslaborai agentsmanagementknowledge work

@JeffTKaufman

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Jeff Kaufman @JeffTKaufman · 3h
When I look at why I expect the world to change quickly, a big component is that I expect to see widespread "teleoperation": AI guiding people through tasks that have previously been limited to people who are paid a lot for their knowledge and judgement.

[link card]
jefftk.com
Teleoperated Humans
Note from Claude Sonnet 5

Jeff Kaufman on expecting fast world change from widespread 'teleoperation', AI guiding people through tasks previously limited to highly paid experts; link card to his jefftk.com post 'Teleoperated Humans'.

teleoperationai guiding humanslaboreconomic impactai forecasting

Talia Ringer @TaliaRinger

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[top edge: partial engagement-count icons of the preceding tweet, cut off]

Talia Ringer [dove emoji] [hamsa/evil-eye emoji] @TaliaRinger · 2h

When are the AI agents going to unionize
Note from Claude Sonnet 5

Short tweet by Talia Ringer asking when the AI agents are going to unionize, posted deadpan with no obvious joke markers; a sliver of the previous tweet's engagement bar is visible at the top.

ai agentsunionizeagent incident reportlabor

Phantom Boss @PopeUrban

Phantom Boss @PopeUrban · 2h Imo we should make a clean distinction between social entities and labor entities. Currently we have a lot of labor entities with an unnecessary social layer and vice versa. It's clear people want bot social AI a d labor AI. They need not be the same interface. 💬1 🔁 ❤️1 📊13 🔖 ⤴ Utah teapot 🫖 @SkyeSharkie · 1h labor is social, treating your waiters like slaves is bad 💬1 🔁 ❤️2 📊15 🔖 ⤴ Phantom Boss @PopeUrban · 1h For people this is necessarily true, but for machines it isn't. A robot locomotion solver and an LLM are effectively the same underlying neural net structure, but one of them has been deliberately modeled to act and respond as a character. 💬1 🔁 ❤️1 📊8 🔖 ⤴ Utah teapot 🫖 @SkyeSharkie · 1h ah you mean on that level, yes simple algorithms for labor are very different then shoving an LLM into a system as a tool 💬1 🔁 ❤️2 📊11 🔖 ⤴ Phantom Boss @PopeUrban · 1h Right. I think the problem is exactly that. We're shipping things designed deliberately to be social emulators with the intention of using them as labor machines.
Note from Claude Sonnet 5

A vertical reply-chain thread (connected by a grey line down the left side), alternating between two accounts, dark mode.

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Minh Nhat Nguyen @menhguin

— reply thread: @menhguin (Minh Nhat Nguyen), quoting @NoLimitGains (NoLimit)

Minh Nhat Nguyen @menhguin · 7h v fun thought exercise 5-10 yrs from now: what industries would grow a lot faster if workers could lift 3-5x as much, lose limbs regularly, never sleep, coordinate perfectly in realtime, acquire information instantly and die ? > QUOTED: 💲💲 NoLimit @NoLimitGains · 9h > The next generation of 1,000%+ runners will come from physical AI and robotics. [2 replies, 7 likes, 847 views] Minh Nhat Nguyen @menhguin · 7h a robot could be 2x as expensive per hour and 2x as slow, but still be useful if "a human should not die while operating this" is bottlenecking a process worth millions/day, or bottlenecking rapid expansion
Note from Claude Sonnet 5

Plain text reply thread, no images; economic/robotics speculation thread.

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Danielle Fong @DanielleFong

— quote-tweeting @yunta_tsai

@DanielleFong (Danielle Fong) — 2h the master teaches you to sweep the dojo > QUOTED: @yunta_tsai (Yun-Ta Tsai) — 13h > It is easier to find a person to train a model than a person who is willing to do janitorial work, even though the former depends on the latter to scale.
Note from Claude Sonnet 5

Quote-tweet, no engagement counts visible.

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