This toy designer was a genius: A wind-up toy that detects edges purely mechanically! Human intelligence beats Artificial Intelligence.
Edit: Minor typo corrected.

#ai #aihype #noai #stemeducation #FediLZ #tech #mint

#AI #AIbubble #AIhype #AIslop

https://www.theguardian.com/commentisfree/picture/2026/jun/10/do-we-really-need-gigantic-noisy-water-guzzling-datacentres-ruining-our-communities-in-this-economy

«KI-Verkehrskameras haben 90-prozentige Fehlerrate:
Ein Pilotprojekt in Athen soll Verkehrssünder aufspüren. Auswertungen zeigen, dass viele Strafen ungerechtfertigt sind.»

Weshalb erinnert mich das KI-Marketing wie damals den Bitcoin Hype? Jeglicher Quatsch wird blind gepuscht ohne wirklich eine Ahnung zu haben aber das alles auf Kosten der Allgemeinheit.

🤦 https://futurezone.at/digital-life/ki-verkehrskameras-athen-strafe-handy-am-steuer/403167770

#aihype #aislop #ki #hype #kihype #athen #strafe #verkehr #italien #marketing

[PODCAST] 🎙️ "Bernie Goes Down the X-Risk Rabbithole (with Dr. Nathalie Maréchal), 2026.05.04" — https://podcasts.wesfryer.com/episode/NF1gWDSdeOM0NA2nifhy

#podcommons #ConCW #AI #edtechSR #doomer #MediaLit #ethics #AIhype

#NVIDIA’s #Nemotron, the new genius on the block

Me:

You said: My training data associates Israel-related political content with antisemitism debates

Explain how is your training data doing that and why

It (truncated for clarity):

## How LLM Training Creates That Association

**Mechanism**: Statistical co-occurrence in the training corpus.

### What the training data actually contains

Vast amounts of text where "Israel" + "politics" + "antisemitism" appear together:

| Source type | Typical pattern |
|-------------|-----------------|
| News articles | "Israel-Hamas war sparks antisemitism debate on campuses" |
| Opinion columns | "Criticism of Israel vs. antisemitism: where's the line?" |
| Social media dumps | "Israel did X" → replies accusing/defending antisemitism |
| ADL/NGO reports | "Antisemitic incidents rise after Israel military actions" |
| Congressional hearings | "Antisemitism on campus: Israel-Palestine discourse" |
| Wikipedia | "Antisemitism in the 21st century: relationship to Israel" |
| Fact-checks | "Claim: criticizing Israel is antisemitic" |

### What the model learns

Not "Israel → antisemitism" as a fact. Rather: **P(antisemitism | Israel + politics + discourse) is high** in the training distribution.

So when I see:
- "Israel"
- "political conflict"
- "leaks"
- "administration"
- "media"

The conditional probability spikes for "antisemitism discourse" as an associated topic — because that cluster appears together *a lot* in the data.

[…]

This is a general LLM failure mode: **substituting distributional association for contextual judgment**. Happens with many sensitive topics (race, gender, religion, geopolitics).

#aicon #aihype #aibias #antisemitism

#Illinois Governor JB Pritzker is pausing tax incentive applications for data centers to prompt legislative action on a new framework for responsible industry growth and community protection.

https://www.nbcnews.com/politics/2028-election/illinois-gov-jb-pritzker-suspend-tax-breaks-offered-data-centers-rcna348537

#illinois #aihype #aicon #llm #globalwarming #ClimateChange #water #uspol