#aihype — Public Fediverse posts

We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:

"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:

"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:

"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:

"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:

"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

I think this is clearly a bit bullshit from Anthropic's side but anyway...:

"The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Anthropic models will not be affected.

We received the directive from the government today at 5:21pm (ET). The letter did not provide specific details of its national security concern. Our understanding is that the government believes it has become aware of a method of bypassing, or “jailbreaking” Fable 5. We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly-available models are able to discover them as well without requiring a bypass."

https://www.anthropic.com/news/fable-mythos-access

#AI #GenerativeAI #Anthropic #USA #Claude #ClaudeFable #ClaudeMythos #AIHype #CyberSecurity

#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

#raspberrypi #raspberrypi500plus #luxus #insane #aihype #ramshortage #broligarchy #thanksai #luxury #singleboard #sbc #pihole @altbot

#raspberrypi #raspberrypi500plus #luxus #insane #aihype #ramshortage #broligarchy #thanksai #luxury #singleboard #sbc #pihole @altbot

RE: https://dair-community.social/@emilymbender/116098129762953036

Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI

#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype

Your "Agentic AI" is a Ferrari without wheels. Stop making engine noises in the garage. Without "Golden Context," you're just driving on messy data. We expose the full reality check in our #CRMKonvo.

https://zurl.co/HudYC

#AIhype #GoldenContext