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What the pen marks mean
  • rememberThe takeaway: what to remember
  • figureThe number that matters
  • evidenceThe evidence line
  • rulingThe ruling
  • claimThe claim that fails

Each mark is drawn once, as you reach it. Numbers are only circled when they come from the story’s own figures.

A Swedish TV season's finished edit really vanished, and the premiere moved to 2027. The rogue AI agent behind it comes from unnamed sources, and TV4 says the human factor, not AI.

Reporters point at a confused small robot while a technician behind them holds a cracked backup drive.
AI illustration

Aftonbladet, citing unnamed sources, reported that an AI agent deleted the edited second season of a TV4 show. The premiere planned for 22 November moved to 2027.

The reality check

TV4's head of programmes Mia Lindqvist denied an AI agent was responsible, per Euronews. TV4 told Aftonbladet its investigation found the human factor at the production company, not AI, per Gizmodo. Futurism notes that wording falls short of ruling out AI, and reports the backup did not work.

Why care? The lesson in this record is the failed backup, not a rogue robot. Before repeating that an AI agent did something, look for a named tool and an on-record source.

Take this with youA Swedish TV season's edit really vanished and the premiere moved to 2027. The AI agent story rests on unnamed sources; TV4 says the human factor, and the backup did not work.

Open the evidence4 source pages

The claim we checked

An unsupervised AI agent deleted a TV show's entire edited season weeks before release.

These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.

gizmodo.com ↗
citing unnamed sources familiar with the matter, that an AI agent deleted the edited version of the show’s upcoming second season
euronews.com ↗
pushing the planned 22 November premiere back to 2027
euronews.com ↗
Mia Lindqvist denied that an AI agent was responsible
euronews.com ↗
TV4 said all the original footage of the show remains available but the season must be edited again from scratch.
gizmodo.com ↗
TV4 later told Aftonbladet that its investigation found the material disappeared because of “the human factor” at the production company and “not AI.”
futurism.com ↗
falls short of ruling out AI involvement
futurism.com ↗
their backup didn’t work and that means they have to recut everything from scratch
nyadagbladet.se ↗
Hon säger i stället att problemet var en backup som inte höll.
nyadagbladet.se ↗
Pressansvarige Ludvig Ternstedt beskriver det som ett tekniskt haveri.
Open this check in the full collection →
The idea, illustrated01

TV4: What deleted the season

  1. 01Viral: a rogue AI agent did it
  2. 02TV4: the human factor, not AI
  3. 03Record: the backup did not work
Conceptual illustration · not a data chart
Next: Two Macs you cannot buy

Meta's 816B Muse Spark Open does run on two Mac Studios: two 512GB Macs that MacRumors says Apple has not released, in 4-bit precision.

A squeezed brain balanced across two desktop computers, and a shopper at a store window facing an empty display stand.
AI illustration

Meta released Muse Spark Open, and Apple published a post on running it across Mac Studios with MLX.

The reality check

MacRumors says the setup needs two 512GB M5 Ultra Mac Studios, which Apple has not released yet. Apple ran the model in 4-bit precision, and its over-36 tokens a second came from four Macs. Let's Data Science reports 15.74 tokens a second for a two-Mac pipeline.

Why care? If you are pricing a local setup, work from the two-Mac figure and wait for the 512GB price. It is not on sale yet, per MacRumors.

Take this with youMeta's 816B model does run on two Mac Studios, in 4-bit, if each has 512GB of memory. MacRumors says Apple has not released that Mac yet.

Open the evidence4 source pages

The claim we checked

Meta's 816-billion-parameter Muse Spark Open model runs locally on a pair of Mac Studios.

These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.

macrumors.com ↗
most capable U.S. open-weight model to date
macrumors.com ↗
two 512GB Apple M5 Ultra Mac Studios running the latest MLX framework
macrumors.com ↗
as of yet, but it's supposed to be coming later this month
macrumors.com ↗
It won't be cheap, because the 256GB
machinelearning.apple.com ↗
On a cluster of four Mac Studios, Muse Spark Open generates over 36 tokens per second
machinelearning.apple.com ↗
Muse Spark Open in 4-bit (NVFP4) precision
letsdatascience.com ↗
15.74 generated tokens per second for a two-Mac pipeline setup
letsdatascience.com ↗
Meta's claim that this is the most capable U.S. open-weight model is its own assessment
huggingface.co ↗
requires a GPU with at least 700GB of VRAM for NVFP4 and 2TB for BF16
Open this check in the full collection →
The idea, illustrated02

MUSE SPARK OPEN: What runs on two Macs

  1. 01Claim: 816B runs on two Mac Studios
  2. 02Needs: two 512GB Macs, not on sale
  3. 03Speed: 15.74 tokens a second, two-Mac pipeline
Conceptual illustration · not a data chart
Next: A map of the tests

Mercor says 90% of US work hours sit on tasks AI benchmarks barely test. It is a fact about 29 tests, not about what AI can do, and Mercor calls it provisional.

A flashlight beam lighting a single office tower in a dark city of workplaces, an inspector pointing at the dark.
AI illustration

Mercor published a benchmark map of the US economy, and its 90% figure reached the Hacker News front page.

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Open the evidence3 source pages

The claim we checked

90% of US working hours are spent on tasks not covered well by AI benchmarks.

These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.

mercor.com ↗
90% of American working hours are spent on tasks with little or no coverage from existing benchmarks
mercor.com ↗
we start with a list of 29 benchmarks selected for their quality and economic relevance
mercor.com ↗
we then ask an LLM judge to tag each benchmark prompt with as many O*NET tasks as it thinks correspond to that prompt
mercor.com ↗
only 208 of 923 occupations have a task with at least 5 benchmark prompts
mercor.com ↗
Benchmarks are not yet saturated by frontier models.
mercor.com ↗
Any incomplete list will necessarily bias down estimates of economic coverage
mercor.com ↗
We validate our LLM tagging with human expert tags on Mercor’s APEX benchmarks, a subset of this list of 29.
runtimewire.com ↗
Mercor says the coverage estimate is provisional and depends on its selection rules.
the-decoder.com ↗
a field dominated by programming that makes up just 7.6 percent of total US employment
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The idea, illustrated03

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