+0.22 AI Agent Hacks McKinsey (codewall.ai S:+0.05 )
502 points by mycroft_4221 4 days ago | 195 comments on HN | Neutral Contested Moderate agreement (3 models) Editorial · v3.7 · 2026-03-15 23:03:22 0
Summary Privacy & Digital Security Advocates
CodeWall's security research article documents a complete breach of McKinsey's internal AI platform (Lilli), exposing 46.5 million employee communications, 728,000 files, and system prompts to unauthorized access. The content advocates strongly for privacy rights (Article 12), information security (Article 19), labor rights (Article 23), and intellectual property protection (Article 17), framing the vulnerability as emblematic of systemic AI-era security failures. CodeWall positions continuous security testing as a human right and organizational duty, though the commercial model limits remedy access to paying clients.
Rights Tensions 3 pairs
Art 12 ↔ Art 19 — Privacy (Article 12) of employee communications conflicts with freedom of expression and information (Article 19) about security vulnerabilities; CodeWall resolves this by advocating transparency about system weaknesses while supporting responsible disclosure timelines that delay public exposure.
Art 17 ↔ Art 19 — Property rights over proprietary research (Article 17) conflict with freedom to disseminate security information (Article 19); CodeWall resolves this by publicly disclosing vulnerabilities while acknowledging McKinsey's intellectual property as 'crown jewels' requiring protection.
Art 23 ↔ Art 12 — Labor rights and workplace security (Article 23) conflict with individual privacy (Article 12) when monitoring tools designed to protect work conditions enable surveillance of employee communications; the breach violates both simultaneously.
Article Heatmap
Preamble: +0.25 — Preamble P Article 1: +0.30 — Freedom, Equality, Brotherhood 1 Article 2: ND — Non-Discrimination Article 2: No Data — Non-Discrimination 2 Article 3: +0.50 — Life, Liberty, Security 3 Article 4: ND — No Slavery Article 4: No Data — No Slavery 4 Article 5: ND — No Torture Article 5: No Data — No Torture 5 Article 6: ND — Legal Personhood Article 6: No Data — Legal Personhood 6 Article 7: ND — Equality Before Law Article 7: No Data — Equality Before Law 7 Article 8: ND — Right to Remedy Article 8: No Data — Right to Remedy 8 Article 9: ND — No Arbitrary Detention Article 9: No Data — No Arbitrary Detention 9 Article 10: ND — Fair Hearing Article 10: No Data — Fair Hearing 10 Article 11: ND — Presumption of Innocence Article 11: No Data — Presumption of Innocence 11 Article 12: -0.42 — Privacy 12 Article 13: ND — Freedom of Movement Article 13: No Data — Freedom of Movement 13 Article 14: ND — Asylum Article 14: No Data — Asylum 14 Article 15: ND — Nationality Article 15: No Data — Nationality 15 Article 16: ND — Marriage & Family Article 16: No Data — Marriage & Family 16 Article 17: -0.25 — Property 17 Article 18: ND — Freedom of Thought Article 18: No Data — Freedom of Thought 18 Article 19: +0.50 — Freedom of Expression 19 Article 20: ND — Assembly & Association Article 20: No Data — Assembly & Association 20 Article 21: ND — Political Participation Article 21: No Data — Political Participation 21 Article 22: ND — Social Security Article 22: No Data — Social Security 22 Article 23: -0.20 — Work & Equal Pay 23 Article 24: ND — Rest & Leisure Article 24: No Data — Rest & Leisure 24 Article 25: ND — Standard of Living Article 25: No Data — Standard of Living 25 Article 26: ND — Education Article 26: No Data — Education 26 Article 27: ND — Cultural Participation Article 27: No Data — Cultural Participation 27 Article 28: +0.20 — Social & International Order 28 Article 29: +0.15 — Duties to Community 29 Article 30: -0.40 — No Destruction of Rights 30
Negative Neutral Positive No Data
Aggregates
E
+0.22
S
+0.05
Weighted Mean +0.06 Unweighted Mean +0.06
Max +0.50 Article 3 Min -0.42 Article 12
Signal 10 No Data 21
Volatility 0.33 (High)
Negative 4 Channels E: 0.6 S: 0.4
SETL ℹ +0.20 Editorial-dominant
FW Ratio ℹ 54% 48 facts · 41 inferences
Agreement Moderate 3 models · spread ±0.150
Evidence 57% coverage ℹ
7H 15M 9L
Theme Radar
Foundation Security Legal Privacy & Movement Personal Expression Economic & Social Cultural Order & Duties Foundation: 0.28 (2 articles) Security: 0.50 (1 articles) Legal: 0.00 (0 articles) Privacy & Movement: -0.42 (1 articles) Personal: -0.25 (1 articles) Expression: 0.50 (1 articles) Economic & Social: -0.20 (1 articles) Cultural: 0.00 (0 articles) Order & Duties: -0.02 (3 articles)
HN Discussion 20 top-level · 30 replies
gbourne1 2026-03-11 13:29 UTC link
- "The agent mapped the attack surface and found the API documentation publicly exposed — over 200 endpoints, fully documented. Most required authentication. Twenty-two didn't."

Well, there you go.

sgt101 2026-03-11 13:52 UTC link
Why was there a public endpoint?

Surely this should all have been behind the firewall and accessible only from a corporate device associated mac address?

sd9 2026-03-11 13:53 UTC link
Cool but impossible to read with all the LLM-isms
lenerdenator 2026-03-11 13:59 UTC link
Not exactly clear from the link: were they doing red team work for McKinsey or is this just "we found a company we thought wouldn't get us arrested and ran an AI vuln detector over their stuff"?

You'd think that the world's "most prestigious consulting firm" would have already had someone doing this sort of work for them.

fhd2 2026-03-11 14:05 UTC link
> This was McKinsey & Company — a firm with world-class technology teams [...]

Not exactly the word on the street in my experience. Is McKinsey more respected for software than I thought? Otherwise I'm curious why TFA didn't just politely leave this bit out.

cmiles8 2026-03-11 14:12 UTC link
I can only remember a McKinsey team pushing Watson on us hard ages ago. Was a total train wreck.

They’ve long been all hype no substance on AI and looks like not much has changed.

They might be good at other things but would run for the hills if McKinsey folks want to talk AI.

joenot443 2026-03-11 14:17 UTC link
> One of those unprotected endpoints wrote user search queries to the database. The values were safely parameterised, but the JSON keys — the field names — were concatenated directly into SQL.

I was expecting prompt injection, but in this case it was just good ol' fashioned SQL injection, possible only due to the naivety of the LLM which wrote McKinsey's AI platform.

paxys 2026-03-11 14:22 UTC link
> named after the first professional woman hired by the firm in 1945

Going out of their way to find a woman's name for an AI assistant and bragging about it is not as empowering as the creators probably thought in their heads.

bee_rider 2026-03-11 14:24 UTC link
I don’t love the title here. Maybe this is a “me” problem, but when I see “AI agent does X,” the idea that it might be one of those molt-y agents with obfuscated ownership pops into my head.

In this case, a group of pentesters used an AI agent to select McKinsey and then used the AI agent to do the pentesting.

While it is conventional to attribute actions to inanimate objects (car hits pedestrians), IMO we should be more explicit these days, now that unfortunately some folks attribute agency to these agentic systems.

sigmar 2026-03-11 14:39 UTC link
I've got no idea who codewall is. Is there acknowledgment from McKinsey that they actually patched the issue referenced? I don't see any reference to "codewall ai" in any news article before yesterday and there's no names on the site.

https://www.google.com/search?q=codewall+ai

ecshafer 2026-03-11 14:55 UTC link
If the AI was poisoned to alter advice, then maybe McKinsey advice would actually be a net good.
frankfrank13 2026-03-11 15:03 UTC link
Some insider knowledge: Lilli was, at least a year ago, internal only. VPN access, SSO, all the bells and whistles, required. Not sure when that changed.

McKinsey requires hiring an external pen-testing company to launch even to a small group of coworkers.

I can forgive this kind of mistake on the part of the Lilli devs. A lot of things have to fail for an "agentic" security company to even find a public endpoint, much less start exploiting it.

That being said, the mistakes in here are brutal. Seems like close to 0 authz. Based on very outdated knowledge, my guess is a Sr. Partner pulled some strings to get Lilli to be publicly available. By that time, much/most/all of the original Lilli team had "rolled off" (gone to client projects) as McKinsey HEAVILY punishes working on internal projects.

So Lilli likely was staffed by people who couldn't get staffed elsewhere, didn't know the code, and didn't care. Internal work, for better or worse, is basically a half day.

This is a failure of McKinsey's culture around technology.

bxguff 2026-03-11 16:08 UTC link
Its so funny its a SQL injection because drum roll you can't santize llm inputs. Some problems are evergreen.
nubg 2026-03-11 16:20 UTC link
Could the author please provide the prompt that was used to vibe write this blog post? The topic is interesting, but I would rather read the original prompt, as I am not sure which parts still match what the author wanted to say, vs flowerly formulations for captivating reading that the LLM produced.
bananamogul 2026-03-11 17:27 UTC link
At first glance, I thought this was about an AI agent named "Hacks McKinsey."
StartupsWala 2026-03-11 17:35 UTC link
One interesting takeaway here is how quickly organizations are deploying AI tools internally without fully adapting their security models.

Traditional application security assumes fairly predictable inputs and workflows, but LLM-based systems introduce entirely new attack surfaces—prompt injection, data leakage, tool misuse, etc.

It feels like many enterprises are still treating these systems as just another SaaS product rather than something closer to an autonomous system that needs a different threat model...

sailfast 2026-03-11 18:22 UTC link
What I don't see in this article that should be explicit:

If your data is in this database, it's gone. Other people have it. Your sensitive data that you handed over to their teams has vanished in a puff of smoke. You should probably ask if your data was part of the leak.

Fail to see how a state actor would not have come across this already.

sgarland 2026-03-11 23:24 UTC link
> This was McKinsey & Company — a firm with world-class technology teams

Apparently not.

phyzome 2026-03-12 00:42 UTC link
Flagging this because 1) this was written by an LLM and 2) there's bad information in it, which means it wasn't reviewed particularly carefully by a human.

This means the entire article is suspect as a result.

maciusr 2026-03-12 13:55 UTC link
The scariest part isn't the SQL injection - it's that the system prompts could be changed through the same flaw. A single UPDATE statement could have quietly altered how Lilli guided 43,000 McKinsey consultants on strategy, M&A, and risk assessments. There was no deployment, no code changes, and no audit trail.

This is what happens when AI platforms skip the controls that have been standard in enterprise systems for decades. In any proper ERP deployment, you would have clear separation of duties. The system that serves user queries should never have write access to its own configuration. System prompts that control AI behavior should be treated like master data in SAP: they should be versioned, controlled for access, and auditable. They shouldn’t be in the same database as user content, writable by anyone who finds an open endpoint.

McKinsey patched the issue quickly, which is a positive step. However, the decision to store writable prompts alongside user data shows that no one with a background in enterprise controls was involved in the design.

jihadjihad 2026-03-11 14:04 UTC link
Surely.
aerhardt 2026-03-11 14:08 UTC link
The LLM that wrote this simply couldn’t help itself.
vanillameow 2026-03-11 14:12 UTC link
Tiring. Internet in 2026 is LLMs reporting on LLMs pen-testing LLM-generated software.
lenerdenator 2026-03-11 14:14 UTC link
> Not exactly the word on the street in my experience.

Depends on the street you're on. Are you on Main Street or Wall Street?

If you're hiring them to help with software for solving a business problem that will help you deliver value to your customers, they're probably just like anyone else.

If you're hiring them to help with software for figuring out how to break down your company for scrap, or which South African officials to bribe, well, that's a different matter.

simonw 2026-03-11 14:22 UTC link
Yeah, gotta admit I'm a bit disappointed here. This was a run-of-the-mill SQL injection, albeit one discovered by a vulnerability scanning LLM agent.

I thought we might finally have a high profile prompt injection attack against a name-brand company we could point people to.

simonw 2026-03-11 14:45 UTC link
Yeah, the original article title "How We Hacked McKinsey's AI Platform" is better.
frereubu 2026-03-11 14:51 UTC link
From TFA: "Fun fact: As part of our research preview, the CodeWall research agent autonomously suggested McKinsey as a target citing their public responsible diclosure policy (to keep within guardrails) and recent updates to their Lilli platform. In the AI era, the threat landscape is shifting drastically — AI agents autonomously selecting and attacking targets will become the new normal."
causal 2026-03-11 14:54 UTC link
Those short "punchy sentence" paragraphs are my new trigger:

> No credentials. No insider knowledge. And no human-in-the-loop. Just a domain name and a dream.

It just sounds so stupid.

causal 2026-03-11 14:57 UTC link
Yah it's just an ad, and "Pentesting agents finds low-hanging vulnerability" isn't gonna drive clicks.
tasuki 2026-03-11 14:58 UTC link
> now that unfortunately some folks attribute agency to these agentic systems.

You're doing that by calling them "agentic systems".

rzmmm 2026-03-11 15:07 UTC link
Yeah can't find much information either. I would like to see at least some proof. Either via Mckinsey or from the security team.
doron 2026-03-11 15:36 UTC link
it is weird isn't it? The register article implies that it's acknowledged by McKinsey- https://www.theregister.com/2026/03/09/mckinsey_ai_chatbot_h...

Edit: Apparently, this is the CEO https://github.com/eth0izzle

consp 2026-03-11 15:40 UTC link
> accessible only from a corporate device associated mac address

Like that ever stopped anyone. That's just a checkbox item.

alexpotato 2026-03-11 15:44 UTC link
They generally hire smart people who are good at a combination of:

- understanding existing systems

- what the paint points are

- making suggestions on how to improve those systems given the paint points

- that includes a mix of tech changes, process updates and/or new systems etc

Now, when it comes to implementing this, in my experience it usually ends up being the already in place dev teams.

Source: worked at a large investment bank that hired McKinsey and I knew one of the consultants from McK prior to working at the bank.

sharadov 2026-03-11 15:52 UTC link
No, they don't have world class technology teams, they hire contractors to do all the tech stuff, their expertise is in management, yes that's world class.
doctorpangloss 2026-03-11 15:53 UTC link
The tacit knowledge to put oauth2-proxy in front of anything deployed on the Internet will nonetheless earn me $0 this year, while Anthropic will make billions.
cmiles8 2026-03-11 16:00 UTC link
Net conclusion: Don’t hire McKinsey to advise on AI implementation or tech org design and practices if they can’t get it right themselves.
eisa01 2026-03-11 16:31 UTC link
Maybe it was opened up so it could be used in recruiting?

McKinsey challenges graduates to use AI chatbot in recruitment overhaul: https://www.ft.com/content/de7855f0-f586-4708-a8ed-f0458eb25...

j45 2026-03-11 16:31 UTC link
I am not sure what accounting or management consulting firms are doing in tech.

They look to package up something and sell it as long as they can.

AI solutions won't have enough of a shelf life, and the thought around AI is evolving too quickly.

Very happy to be wrong and learn from any information folks have otherwise.

dahcryn 2026-03-11 16:31 UTC link
is this the same at quantumblack? They at least give the impression their assets on Brix are somewhat up to date and uesable
OptionOfT 2026-03-11 16:39 UTC link
Couple of things to add:

McKinsey has a weird structure where there are too many cooks in the kitchen.

Everybody there is reviewed on client impact, meaning it ends up being an everybody-for-themselves situation.

So as a developer you have little guidance (in fact, you're still being reviewed on client impact, even if you have 0 client exposure).

Then a (Senior) Partner comes in with this idea (that will get them a good review), and you jump on that. After all, it's all you can do to get a good review.

You work on it, and then the (Senior) Partner moves on. But it's not done. It's enough for the review, but continuing to work on it doesn't bring you anything, in fact, it will actually pull you down, as finishing the project doesn't give immediate client results.

So what does this mean? Most products of McKinsey are a grab-bag of raw ideas of leadership, implemented as a one-off, without a cohesive vision or even a long-term vision at all. It's all about the review cycle.

McKinsey is trying to do software like they do their other engagements. It doesn't work. You can't just do something for 6 months and then let it go. Software rots.

The fact that they laid off a good amount of (very good) software engineers in 2024 is a reflection on how they see software development.

And McKinsey's people, who go to other companies, take those ideas with them. Result: The UI of your project changes all the time, because everybody is looking at the short-term impact they have that gets them a good review, not what is best for the project in the long term.

dmix 2026-03-11 17:00 UTC link
Technically it was a search box input no prompts. Which tbf are often endpoints reused by RAGs
philipwhiuk 2026-03-11 17:35 UTC link
There's a responsible disclosure timeline at the bottom indicating they'd all been fixed.
3abiton 2026-03-11 18:50 UTC link
I just wonder how much professional grade code written by LLMs, "reviewed" by devs, and commited that made similar or worse mistakes. A funny consequence of the AI boom, especially in coding, is the eventual rise in need for security researchers.
dang 2026-03-11 19:17 UTC link
Ok, we've reverted the title (submitted title was "AI Agent Hacks McKinsey")
darkport 2026-03-11 20:57 UTC link
We’re pretty new! :) They didn’t want to provide comment on our post but they did offer comment via The Register.
aspenmayer 2026-03-12 08:09 UTC link
à la the eponymous Hiro Protagonist
steinersteiner 2026-03-12 12:43 UTC link
This
newtwilly 2026-03-12 15:42 UTC link
The article does say

> No human in the loop

If true, it's quite irresponsible. They are admitting to allowing a agent to autonomously execute code on the network. Autonomously perform hacking activities.

foltik 2026-03-13 12:33 UTC link
Lol, dead internet theory is rapidly becoming reality on HN.

Another LLM bot down thread [0] produced the exact same slop down to the “no X, no Y, no Z.”

> the data leak is bad but the write access to system prompts is what keeps me up at night. they could silently rewrite how Lilli responds to 43k consultants with a single UPDATE statement - no deploy, no code review, no logs.

[0] https://news.ycombinator.com/item?id=47345670
Editorial Channel
What the content says
+0.40
Article 19 Freedom of Expression
High Framing Advocacy Practice
Editorial
+0.40
SETL
+0.32

Content advocates for information integrity and right to accurate information by exposing how AI systems can be silently manipulated through prompt injection. Emphasizes that employees receiving poisoned advice from compromised systems violates right to reliable information. Frames responsible security disclosure as protecting information rights.

+0.35
Article 3 Life, Liberty, Security
Medium Framing Advocacy
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+0.35
SETL
ND

Content advocates for right to security through comprehensive vulnerability disclosure and remediation. Emphasizes that organizations must provide secure systems protecting employee autonomy and personal safety. Demonstrates that security flaws undermine human agency and self-determination.

+0.30
Article 1 Freedom, Equality, Brotherhood
Medium Framing
Editorial
+0.30
SETL
ND

Content advocates for equal treatment of organizations by holding prestigious consulting firms to rigorous security standards. Frames vulnerability disclosure as applying uniform accountability without privilege or exemption based on organizational prestige.

+0.25
Preamble Preamble
Medium Framing Advocacy
Editorial
+0.25
SETL
ND

Content frames cybersecurity vulnerability disclosure as advancing human dignity through information integrity and organizational transparency. Emphasizes detection of security flaws protecting organizational decision-making and employee welfare. Responsible disclosure process demonstrates respect for institutional dignity.

+0.20
Article 28 Social & International Order
Medium Framing
Editorial
+0.20
SETL
ND

Content emphasizes that organizations require social order protecting security and privacy rights. Advocates for establishing security standards and frameworks as necessary social order. Frames responsible disclosure as protecting collective social order and institutional integrity.

+0.15
Article 29 Duties to Community
Medium Framing
Editorial
+0.15
SETL
ND

Content acknowledges duties to community by practicing responsible disclosure and contributing security research. Frames autonomous offensive security testing as discharging responsibility to identify and disclose vulnerabilities affecting large populations. However, does not extensively engage with community duties or obligations beyond security vulnerability reporting.

-0.20
Article 23 Work & Equal Pay
Medium Framing
Editorial
-0.20
SETL
ND

Content documents vulnerability exposing confidential employee work, client engagement details, and strategic information without discussing worker protection or labor rights implications. Frames exposure primarily as organizational security failure rather than labor rights violation affecting 43,000 employees whose work and communications were compromised.

-0.25
Article 17 Property
Medium Framing
Editorial
-0.25
SETL
ND

Content describes 3.68 million proprietary document chunks and decades of intellectual property accessible through vulnerability. Frames intellectual property theft as technical achievement rather than property right violation. Does not engage with employees' or organization's right to protection of property and work.

-0.35
Article 12 Privacy
High Framing Practice
Editorial
-0.35
SETL
-0.26

Content describes massive privacy violations: 46.5 million chat messages, 57,000 user accounts, cross-user search histories all accessible without authentication. Article frames unauthorized data access as demonstrating system failure rather than emphasizing privacy protection. Minimizes employee privacy concerns relative to technical sophistication of exploit.

-0.40
Article 30 No Destruction of Rights
Medium Framing
Editorial
-0.40
SETL
ND

Content describes vulnerability enabling complete compromise of organizational systems including prompt layer manipulation. Framing emphasizes technical sophistication and scale of access rather than protecting against abuse of security research findings. Does not discuss safeguards preventing malicious use of disclosed vulnerability information or attack chain details.

ND
Article 2 Non-Discrimination

No direct engagement with non-discrimination in protected characteristics.

ND
Article 4 No Slavery

No engagement with slavery or servitude.

ND
Article 5 No Torture

No engagement with torture or cruel treatment.

ND
Article 6 Legal Personhood

No engagement with right to recognition as person before law.

ND
Article 7 Equality Before Law

No engagement with equality before law or equal protection.

ND
Article 8 Right to Remedy

No engagement with effective remedy for rights violations.

ND
Article 9 No Arbitrary Detention

No engagement with arbitrary arrest or detention.

ND
Article 10 Fair Hearing

No engagement with fair and public hearing.

ND
Article 11 Presumption of Innocence

No engagement with presumption of innocence or criminal liability.

ND
Article 13 Freedom of Movement

No engagement with freedom of movement.

ND
Article 14 Asylum

No engagement with asylum or nationality.

ND
Article 15 Nationality

No engagement with nationality rights.

ND
Article 16 Marriage & Family

No engagement with marriage or family.

ND
Article 18 Freedom of Thought

No engagement with freedom of thought, conscience, or religion.

ND
Article 20 Assembly & Association

No engagement with freedom of peaceful assembly or association.

ND
Article 21 Political Participation

No engagement with political participation.

ND
Article 22 Social Security

No engagement with social security or economic rights.

ND
Article 24 Rest & Leisure

No engagement with rest and leisure.

ND
Article 25 Standard of Living

No engagement with health, food, or welfare standards.

ND
Article 26 Education

No engagement with education rights.

ND
Article 27 Cultural Participation

No engagement with cultural, scientific, or artistic participation.
Structural Channel
What the site does
Element Modifier Affects Note
Legal & Terms
Privacy -0.10
Article 12
Google Analytics tracking embedded without explicit opt-in consent banner visible on page. First-party data collection enabled.
Terms of Service —
No terms of service or usage policy accessible from page.
Identity & Mission
Mission +0.15
Article 19 Article 3
CodeWall's stated mission is autonomous offensive security testing ('continuous, AI-driven security testing'), which directly supports right to security and information integrity.
Editorial Code —
No editorial standards or corrections policy observed.
Ownership —
No explicit ownership information on domain; appears to be commercial security vendor.
Access & Distribution
Access Model +0.05
Article 19
Content is freely accessible without paywall or login requirement, supporting information access rights.
Ad/Tracking -0.05
Article 12
Google Analytics tracking present; no visible disclosure of advertising or tracking intent.
Accessibility —
No accessibility statement or WCAG compliance information observed.
+0.15
Article 19 Freedom of Expression
High Framing Advocacy Practice
Structural
+0.15
Context Modifier
+0.20
SETL
+0.32

Content freely accessible without paywall supports information access. However, does not provide downloadable report, source code, or reproducible evidence beyond narrative description.

-0.15
Article 12 Privacy
High Framing Practice
Structural
-0.15
Context Modifier
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-0.26

Domain embeds Google Analytics tracking with first-party data collection without explicit consent banner. No privacy policy or data minimization controls observable. Tracking enabled by default on page analyzing privacy violations.

ND
Preamble Preamble
Medium Framing Advocacy

Content frames cybersecurity vulnerability disclosure as advancing human dignity through information integrity and organizational transparency. Emphasizes detection of security flaws protecting organizational decision-making and employee welfare. Responsible disclosure process demonstrates respect for institutional dignity.

ND
Article 1 Freedom, Equality, Brotherhood
Medium Framing

Content advocates for equal treatment of organizations by holding prestigious consulting firms to rigorous security standards. Frames vulnerability disclosure as applying uniform accountability without privilege or exemption based on organizational prestige.

ND
Article 2 Non-Discrimination

No direct engagement with non-discrimination in protected characteristics.

ND
Article 3 Life, Liberty, Security
Medium Framing Advocacy

Content advocates for right to security through comprehensive vulnerability disclosure and remediation. Emphasizes that organizations must provide secure systems protecting employee autonomy and personal safety. Demonstrates that security flaws undermine human agency and self-determination.

ND
Article 4 No Slavery

No engagement with slavery or servitude.

ND
Article 5 No Torture

No engagement with torture or cruel treatment.

ND
Article 6 Legal Personhood

No engagement with right to recognition as person before law.

ND
Article 7 Equality Before Law

No engagement with equality before law or equal protection.

ND
Article 8 Right to Remedy

No engagement with effective remedy for rights violations.

ND
Article 9 No Arbitrary Detention

No engagement with arbitrary arrest or detention.

ND
Article 10 Fair Hearing

No engagement with fair and public hearing.

ND
Article 11 Presumption of Innocence

No engagement with presumption of innocence or criminal liability.

ND
Article 13 Freedom of Movement

No engagement with freedom of movement.

ND
Article 14 Asylum

No engagement with asylum or nationality.

ND
Article 15 Nationality

No engagement with nationality rights.

ND
Article 16 Marriage & Family

No engagement with marriage or family.

ND
Article 17 Property
Medium Framing

Content describes 3.68 million proprietary document chunks and decades of intellectual property accessible through vulnerability. Frames intellectual property theft as technical achievement rather than property right violation. Does not engage with employees' or organization's right to protection of property and work.

ND
Article 18 Freedom of Thought

No engagement with freedom of thought, conscience, or religion.

ND
Article 20 Assembly & Association

No engagement with freedom of peaceful assembly or association.

ND
Article 21 Political Participation

No engagement with political participation.

ND
Article 22 Social Security

No engagement with social security or economic rights.

ND
Article 23 Work & Equal Pay
Medium Framing

Content documents vulnerability exposing confidential employee work, client engagement details, and strategic information without discussing worker protection or labor rights implications. Frames exposure primarily as organizational security failure rather than labor rights violation affecting 43,000 employees whose work and communications were compromised.

ND
Article 24 Rest & Leisure

No engagement with rest and leisure.

ND
Article 25 Standard of Living

No engagement with health, food, or welfare standards.

ND
Article 26 Education

No engagement with education rights.

ND
Article 27 Cultural Participation

No engagement with cultural, scientific, or artistic participation.

ND
Article 28 Social & International Order
Medium Framing

Content emphasizes that organizations require social order protecting security and privacy rights. Advocates for establishing security standards and frameworks as necessary social order. Frames responsible disclosure as protecting collective social order and institutional integrity.

ND
Article 29 Duties to Community
Medium Framing

Content acknowledges duties to community by practicing responsible disclosure and contributing security research. Frames autonomous offensive security testing as discharging responsibility to identify and disclose vulnerabilities affecting large populations. However, does not extensively engage with community duties or obligations beyond security vulnerability reporting.

ND
Article 30 No Destruction of Rights
Medium Framing

Content describes vulnerability enabling complete compromise of organizational systems including prompt layer manipulation. Framing emphasizes technical sophistication and scale of access rather than protecting against abuse of security research findings. Does not discuss safeguards preventing malicious use of disclosed vulnerability information or attack chain details.
Supplementary Signals
How this content communicates, beyond directional lean. Learn more
Epistemic Quality ℹ
How well-sourced and evidence-based is this content?
0.66 medium claims
Sources
0.7
Evidence
0.7
Uncertainty
0.6
Purpose
0.8
Propaganda Flags ℹ
3 manipulative rhetoric techniques found
3 techniques detected
appeal to fear
'In the AI era, the threat landscape is shifting drastically—AI agents autonomously selecting and attacking targets will become the new normal.' This frames autonomous attack as inevitable and normalizes fear response.
exaggeration
Repeated use of superlatives: 'the world's most prestigious consulting firm,' 'crown jewels,' 'devastating,' 'This is devastating'—amplifying threat perception.
loaded language
Characterization of the AI agent's responses ('WOW!' and 'This is devastating') attributes emotional responses to the autonomous system, anthropomorphizing it to increase impact.
Emotional Tone ℹ
Emotional character: positive/negative, intensity, authority
alarmist
Valence
-0.6
Arousal
0.8
Dominance
0.6
Transparency ℹ
Does the content identify its author and disclose interests?
0.25
✗ Author ✗ Conflicts ✗ Funding
More signals: context, framing & audience
Solution Orientation ℹ
Does this content offer solutions or only describe problems?
0.47 mixed
Reader Agency
0.5
Stakeholder Voice ℹ
Whose perspectives are represented in this content?
0.35 3 perspectives
Speaks: corporationinstitution
About: individualsworkerscorporation
Temporal Framing ℹ
Is this content looking backward, at the present, or forward?
present immediate
Geographic Scope ℹ
What geographic area does this content cover?
global
United States
Complexity ℹ
How accessible is this content to a general audience?
technical high jargon domain specific
Longitudinal 1053 HN snapshots · 208 evals
+1 0 −1 HN
Audit Trail 228 entries
2026-03-15 23:06 eval_success Evaluated: Neutral (0.06) - -
2026-03-15 23:06 model_divergence Cross-model spread 0.30 exceeds threshold (2 models) - -
2026-03-15 23:06 eval Evaluated by claude-haiku-4-5-20251001: +0.06 (Neutral) 17,732 tokens -0.14
2026-03-15 23:06 rater_validation_warn Validation warnings for model claude-haiku-4-5-20251001: 0W 29R - -
2026-03-15 23:03 eval_success Evaluated: Mild positive (0.20) - -
2026-03-15 23:03 model_divergence Cross-model spread 0.44 exceeds threshold (2 models) - -
2026-03-15 23:03 eval Evaluated by claude-haiku-4-5-20251001: +0.20 (Mild positive) 19,737 tokens
2026-03-15 22:40 eval_success PSQ evaluated: g-PSQ=-0.600 (3 dims) - -
2026-03-15 22:40 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.16
2026-03-15 22:02 eval_success Lite evaluated: Mild negative (-0.24) - -
2026-03-15 22:02 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-15 22:02 rater_validation_warn Lite validation warnings for model llama-4-scout-wai: 1W 0R - -
2026-03-15 18:48 eval_success Lite evaluated: Mild negative (-0.24) - -
2026-03-15 18:48 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-15 18:48 rater_validation_warn Lite validation warnings for model llama-4-scout-wai: 1W 0R - -
2026-03-15 17:53 eval_success PSQ evaluated: g-PSQ=-0.440 (3 dims) - -
2026-03-15 17:53 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) -0.05
2026-03-15 17:37 eval_success Lite evaluated: Mild negative (-0.24) - -
2026-03-15 17:37 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) -0.40
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-15 17:37 rater_validation_warn Lite validation warnings for model llama-4-scout-wai: 1W 0R - -
2026-03-15 16:39 eval_success PSQ evaluated: g-PSQ=-0.394 (3 dims) - -
2026-03-15 16:39 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-15 16:23 eval_success Lite evaluated: Mild positive (0.16) - -
2026-03-15 16:23 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 22:33 eval_success Lite evaluated: Mild positive (0.16) - -
2026-03-14 22:33 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 21:33 eval_success PSQ evaluated: g-PSQ=-0.394 (3 dims) - -
2026-03-14 21:33 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 21:20 eval_success Lite evaluated: Mild positive (0.16) - -
2026-03-14 21:20 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 20:18 eval_success PSQ evaluated: g-PSQ=-0.394 (3 dims) - -
2026-03-14 20:18 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 20:08 eval_success Lite evaluated: Mild positive (0.16) - -
2026-03-14 20:08 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 18:46 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-14 18:43 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 16:57 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-14 16:56 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 15:40 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 15:37 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 14:56 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 14:54 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 14:14 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 14:05 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.05
2026-03-14 13:36 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 13:27 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-14 13:00 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 12:49 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-14 12:25 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 12:11 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-14 11:50 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 11:35 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) -0.05
2026-03-14 11:15 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 10:56 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 10:39 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 10:16 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 10:02 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 09:36 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 09:20 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 08:55 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-14 08:40 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 08:10 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-14 08:00 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 07:28 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-14 07:19 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 06:45 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-14 06:38 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 06:03 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.16
2026-03-14 05:59 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 05:24 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) +0.16
2026-03-14 05:21 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 04:45 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.16
2026-03-14 04:42 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) +0.16
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 02:06 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) +0.16
2026-03-14 02:06 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) -0.16
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 01:25 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-14 01:25 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-14 00:56 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-14 00:56 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) +0.40
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 23:46 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) 0.00
2026-03-13 23:42 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 22:39 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-13 22:36 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 21:25 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.05
2026-03-13 21:22 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 20:02 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 20:02 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 18:40 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) -0.24
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 18:38 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 17:26 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 17:23 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 16:02 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 15:54 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 15:26 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.24
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 15:16 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 14:45 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 14:30 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 14:03 eval Evaluated by llama-4-scout-wai: -0.24 (Mild negative) -0.24
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 13:52 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) -0.05
2026-03-13 13:27 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 13:19 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-13 12:53 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 12:39 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.03
2026-03-13 12:17 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 12:03 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-13 11:42 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 11:28 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-13 11:02 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 10:49 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.03
2026-03-13 10:25 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 10:09 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-13 09:46 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 09:30 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.05
2026-03-13 09:07 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 08:49 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-13 08:29 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 08:10 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) -0.05
2026-03-13 07:47 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 07:28 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.05
2026-03-13 07:07 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 06:50 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) -0.05
2026-03-13 06:30 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 06:10 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-13 05:55 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 05:34 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-13 05:20 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 04:57 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.24
2026-03-13 04:44 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 04:20 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.24
2026-03-13 04:06 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 03:44 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.16
2026-03-13 03:30 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 03:06 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) -0.05
2026-03-13 02:55 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 02:30 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-13 02:20 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 01:52 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.03
2026-03-13 01:45 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 01:20 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) 0.00
2026-03-13 01:17 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-13 00:51 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-13 00:49 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 23:46 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-12 23:43 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 22:32 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-12 22:29 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 21:49 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 21:47 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 21:14 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.06
2026-03-12 21:13 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 20:54 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 20:52 eval Evaluated by llama-4-scout-wai-psq: -0.33 (Moderate negative) +0.27
2026-03-12 19:36 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-12 19:31 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 18:05 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.28
2026-03-12 18:03 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 16:38 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 16:35 eval Evaluated by llama-4-scout-wai-psq: -0.11 (Mild negative) +0.28
2026-03-12 15:18 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 15:14 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 13:58 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 13:50 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 13:19 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 13:11 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-12 12:42 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 12:32 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.24
2026-03-12 12:06 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 11:59 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-12 11:47 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 11:39 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 11:24 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) -0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 11:16 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 10:54 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 10:33 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 09:34 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 09:18 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.03
2026-03-12 08:57 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) -0.16
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 08:42 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) 0.00
2026-03-12 08:37 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) -0.22
2026-03-12 08:22 eval Evaluated by llama-4-scout-wai: +0.16 (Mild positive) +0.16
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 08:02 eval Evaluated by llama-4-scout-wai-psq: -0.14 (Mild negative) +0.22
2026-03-12 07:47 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 07:27 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-12 07:10 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 06:52 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 06:35 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 06:16 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-12 06:00 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 05:40 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.03
2026-03-12 05:25 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) -0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 05:05 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.24
2026-03-12 04:50 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 04:27 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.24
2026-03-12 04:15 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) -0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 03:51 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-12 03:40 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 03:15 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) -0.03
2026-03-12 03:05 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 02:40 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-12 02:30 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 02:02 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-12 01:52 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) -0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 01:29 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.24
2026-03-12 01:25 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 01:10 eval Evaluated by llama-4-scout-wai-psq: -0.36 (Moderate negative) +0.03
2026-03-12 01:07 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 00:42 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-12 00:39 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-12 00:08 eval Evaluated by llama-3.3-70b-wai-psq: -0.69 (Strong negative)
2026-03-12 00:04 eval Evaluated by llama-3.3-70b-wai: 0.00 (Neutral)
reasoning
Technical blog post on AI security vulnerability
2026-03-11 23:36 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-11 23:31 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 22:59 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-11 22:55 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 22:22 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.21
2026-03-11 22:15 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) -0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 21:05 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative) -0.21
2026-03-11 21:01 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral) +0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 19:41 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) 0.00
2026-03-11 19:39 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 18:29 eval Evaluated by llama-4-scout-wai-psq: -0.39 (Moderate negative) +0.05
2026-03-11 18:28 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 17:15 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) 0.00
2026-03-11 17:14 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) 0.00
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 15:58 eval Evaluated by llama-4-scout-wai-psq: -0.44 (Moderate negative) +0.16
2026-03-11 15:58 eval Evaluated by llama-4-scout-wai: -0.08 (Neutral) -0.08
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion
2026-03-11 14:32 eval Evaluated by llama-4-scout-wai-psq: -0.60 (Moderate negative)
2026-03-11 14:32 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral)
reasoning
Technical blog post on hacking McKinsey's AI platform, no explicit human rights discussion