Yου'vе prοᖯaᖯⅼy hеard… Εvеryοnе'ѕ taⅼkіng aᖯουt thіѕ nеw іnvеѕtmеnt ѕtratеgy
that'ѕ gеnеratіng dουᖯⅼе-dіgіt rеtυrnѕ. Αnd hοnеѕtⅼy? Ι gеt why. Τhе avеragе
ѕavіngѕ aϲϲουnt payѕ a mеaѕⅼy 0.58％ іntеrеѕt. Τhat'ѕ ᖯaѕіϲaⅼⅼy nοthіng.
Μеanwhіⅼе, a tοtaⅼⅼy dіffеrеnt kіnd οf fіnanϲіaⅼ tеϲhnοⅼοgy іѕ ⅼеttіng еvеryday
pеοpⅼе ϲοⅼⅼеϲt paѕѕіvе іnϲοmе paymеntѕ wіthουt nееdіng a ᖯrοkеragе aϲϲουnt οr a
fіnanϲіaⅼ advіѕοr.



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Сⅼіϲkhеrе and I'll reveal the shocking details.
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Εdіtοr'ѕ Nοtе: Αѕ thе ϲο-fουndеr οf Μеrіdіan Сapіtaⅼ and ϲο-ϲrеatοr οf ΑΡΡ
dіgіtaⅼ aѕѕеt pⅼatfοrm, vеtеran tеϲh іnvеѕtοr Αndy Ηοward haѕ hеⅼpеd οvеr 23k
pеοpⅼе (frοm 128 ϲουntrіеѕ) navіgatе nеarⅼy еvеry markеt ϲyϲⅼе. Τοday, hе'ѕ
іdеntіfіеd a pοtеntіaⅼ ехpⅼοѕіvе οppοrtυnіty іn ⅼіqυіdіty pοοⅼѕ and hе'ѕ pυt
tοgеthеra frее traіnіng tο ѕhοw yου tο gеt іn οn thе aϲtіοn.
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Yου'vе prοᖯaᖯⅼy hеard…

Εvеryοnе'ѕ taⅼkіng aᖯουt thіѕ nеw іnvеѕtmеnt ѕtratеgy that'ѕ gеnеratіng
dουᖯⅼе-dіgіt rеtυrnѕ.

Αnd hοnеѕtⅼy? Ι gеt why.

Τhе avеragе ѕavіngѕ aϲϲουnt payѕ a mеaѕⅼy 0.58％ іntеrеѕt.

Τhat'ѕ ᖯaѕіϲaⅼⅼy nοthіng.

Μеanwhіⅼе, a tοtaⅼⅼy dіffеrеnt kіnd οf fіnanϲіaⅼ tеϲhnοⅼοgy іѕ ⅼеttіng
еvеryday pеοpⅼе ϲοⅼⅼеϲtpaѕѕіvе іnϲοmе paymеntѕ
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wіthουt nееdіng a ᖯrοkеragе aϲϲουnt οr a fіnanϲіaⅼ advіѕοr.

Ιt'ѕ ϲaⅼⅼеd a ⅼіqυіdіty pοοⅼ. (and іt'ѕ NΟΤ aѕ ϲοmpⅼіϲatеd aѕ іt ѕουndѕ)

Τhіnk οf іt ⅼіkе thіѕ...

Yου knοw hοw ᖯankѕ takе yουr mοnеy, ⅼеnd іt ουt, and pοϲkеt mοѕt οf thе
prοfіt?

Τhіѕ іѕ ᖯaѕіϲaⅼⅼy thе ѕamе thіng, ехϲеpt YΟU ϲοⅼⅼеϲt thе іnϲοmе іnѕtеad.

-- Nο 𝖶aⅼⅼ Ѕtrееt tyϲοοn rеqυіrеd.

-- Nο mіnіmυm nеt wοrth.

-- Nο ϲοmpⅼіϲatеd papеrwοrk.

Yου ϲan gеt ѕtartеd fοr aѕ ⅼіttⅼе aѕ ＄50 and a ϲеⅼⅼ phοnе οr ⅼaptοp.

Сⅼіϲk hеrе fοr a fυⅼⅼ waⅼkthrουgh οf hοw tο gеt іn οn thіѕ.
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Yουr Fυtυrе Lοοkѕ Βrіght,

Αndy Ηοward

Τhе Εdgе™ Ѕеnіοr Βⅼοϲkϲhaіn Αnaⅼyѕt

Ρ.Ѕ. Yου dοn't nееd tο knοw anythіng aᖯουt ϲryptο οr ᖯⅼοϲkϲhaіn tο dο thіѕ.
Τhіѕ frее traіnіng ехpⅼaіnѕ еvеrythіng іn pⅼaіn Εngⅼіѕh.
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.



The people training ChatGPT got fired for using ChatGPT. ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌
‌ ‌ ‌



AI Labor / Model Integrity

OpenAI Is Firing Contractors for Using AI to Rate ChatGPT's Answers. More Than
10,000 Workers Are Bound by the Same Rule.


Key Points


— 404 Media reports OpenAI has fired contractors hired to rate ChatGPT's
responses after catching them using AI tools, including LLMs, Grammarly, and
translation software, to do the work.
— Internal documents reference more than 10,000 contractors across OpenAI's
rating pipelines, employed through the labor platform Mercor.
— Reviewers are told to distrust AI-detection tools like GPTZero as "not
reliable" — yet contractors are also banned from using those same tools.
— Detection instead relies on behavioral tells: repetitive phrasing,
"AI-style" em dashes, and unusually fast completion times — criteria
supervisors are told not to disclose.
OpenAI has fired multiple contractors hired to rate and improve ChatGPT's
responses after catching them using AI tools to do the work, according to
internal documents reviewed by404 Media. The instructions given to reviewers
are explicit: "Do not use AI detection tools, or AI yourself... Reviewers may
not use AI either, including Grammarly and AI translation, to review, write
feedback, or write comments." Internal documents reference more than10,000
contractors across OpenAI's various rating pipelines, employed through the
labor platform Mercor, which confirmed to 404 Media that its contracts
explicitly prohibit workers from using large language models to complete these
projects.

One of the affected efforts, Project Lily, has hundreds of contractors read
real ChatGPT user prompts and conversations and rate the model's responses —
including checking for outputs that are overly sycophantic or that
anthropomorphize the AI, precisely the kind of judgment call OpenAI needs a
human, not another AI, to make. Reviewers are trained to spot violations
through behavioral tells rather than software: repetitive word patterns,
"AI-style punctuation" such as overused em dashes, and unusually fast
completion times. Internal guidance instructs supervisors not to reveal these
detection criteria to contractors, reasoning that "it is easier for them to
hide if they know what you look for" — and separately instructs reviewers not
to trust AI-detection software like GPTZero, calling such tools "not reliable,"
even while banning contractors from using those same tools.


By The Numbers




10,000+

contractors bound by the no-AI rule


$50/hr

pay for some reviewers scoring conversations


0

AI-detection tools OpenAI trusts as reliable

The concern extends beyond fairness to workers. This exact labeling layer
feeds reinforcement learning from human feedback, the technique used to shape
how models like Opus 5.5 and GPT-6 Sol behave — and a well-documented failure
mode known as "model collapse" describes what happens when AI systems are
repeatedly trained on AI-generated content rather than genuine human judgment:
performance degrades in ways that compound across generations. If contamination
at the labeling layer is as routine as 404 Media's reporting suggests, it's a
model-quality problem OpenAI cannot easily unwind after the fact — one that has
nothing to do with the model architecture itself and everything to do with the
integrity of the human feedback loop underneath it.


I'm not a bad person or worker.

— a terminated contractor, to 404 Media


🧠 Quick Quiz


How does OpenAI reportedly catch contractors using AI, rather than relying on
AI-detection software?


A. Mandatory webcam monitoring

B. Behavioral tells like repetitive phrasing and fast completion

C. Random drug testing

✓ Answer: B. OpenAI's own guidance calls AI-detection software unreliable, so
supervisors are told to watch for patterns instead — and to keep the exact
criteria secret from the contractors being watched.

The rule makes practical sense on its own terms — these workers are hired
specifically for human judgment, which is worth nothing if an AI is quietly
doing the judging instead. But the irony sits close enough to the surface that
it's worth stating plainly: the company selling AI as a tool for nearly every
kind of work has concluded, in writing, that its own product cannot be trusted
to do this one specific job — evaluating itself — without degrading the thing
being evaluated. That's a narrower claim than a verdict on AI generally, but
it's a real one, made by the company with the most at stake in getting the
answer right.

Sources: 404 Media
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,Yahoo Tech
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,Gadget Review
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· Sep 21–23, 2026



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