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I could ask Google 
But WTF is "Woke" ?
Too many rearranged words are gaining traction like " gaslighting", it almost sounds like a good thing, I cook with Gas.
I wonder if this is because of AI or people are just getting dumber?
But WTF is "Woke" ?
Too many rearranged words are gaining traction like " gaslighting", it almost sounds like a good thing, I cook with Gas.
I wonder if this is because of AI or people are just getting dumber?
AI says: The term comes from the British play Gas Light, written by Patrick Hamilton. 1938
- The Plot: A manipulative husband, Jack Manningham, attempts to convince his wife, Bella, that she is going insane to distract her from his criminal activities.
- The "Gas" Part: Jack is secretly searching the attic for hidden jewels. When he turns on the gas lights upstairs, the lights in the rest of the house dim due to the shared fuel supply.
- The Twist: When Bella notices the dimming lights, Jack insists she is imagining it. By denying her physical reality, he makes her doubt her own perceptions and sanity.
AI, if it works we are screwed and if it doesn't we are screwed ?
The massive capital invested in AI and Data centres could have gone to something like Rare Earth's processing which is definitely useful but appears to have just gone in a great big hole and needs more money thrown at it to stop an implosion
China must be rolling on the floor in laughter, they have cheap open source AI and almost all the Rare Earth minerals processing that they and the World need as they watch the West squander such resources and slip into insignificance.
The massive capital invested in AI and Data centres could have gone to something like Rare Earth's processing which is definitely useful but appears to have just gone in a great big hole and needs more money thrown at it to stop an implosion
China must be rolling on the floor in laughter, they have cheap open source AI and almost all the Rare Earth minerals processing that they and the World need as they watch the West squander such resources and slip into insignificance.
I asked gemini if a specific video claiming ai is a dead end is correct. I find the answer very enlightening.
The video by The Honest Torus presents a mathematically grounded critique of Large Language Models (LLMs), arguing that while they are incredible at mimicking patterns, they are structurally incapable of reaching the "Truth" or "General Intelligence" required for higher-level mathematics.
Here is a breakdown of the logic used in the video and whether those claims hold up to current scientific scrutiny.
1. The Core Mathematical Arguments
The "Dead End" argument usually centers on three specific mathematical and structural bottlenecks:
A. The "Probabilistic Decay" of Truth
This is the most compelling argument. LLMs are autoregressive, meaning they predict the next token (T_{n+1}) based on the previous tokens (T_{1...n}).
* The Logic: If an LLM has a 99% accuracy rate per token, the probability of a 100-token sequence being entirely correct is 0.99^{100} \approx 36\%. For a complex mathematical proof requiring thousands of tokens, the probability of staying "on the rails" approaches zero exponentially.
* The "Dead End": Simply making models bigger (scaling) doesn't solve this; it just moves the goalpost slightly further back.
B. Lack of a "World Model"
The video argues that LLMs represent a statistical map of language, not a logical map of reality.
* The Logic: In mathematics, a "Torus" (like the channel's namesake) has specific topological properties regardless of how you describe it in English or Python.
* The "Dead End": LLMs don't "understand" the torus; they understand the words usually associated with a torus. If you ask a question that requires navigating a logical space that hasn't been written about on the internet, the model has no "ground truth" to fall back on.
C. The Error Avalanche
In a mathematical proof, a single wrong sign or a slight misstep in a lemma invalidates the entire conclusion. Because LLMs lack a "self-correction" loop (a way to verify their own logic against a formal system like Lean or Z3 during the generation process), they are prone to "hallucinating" logical leaps that look correct but are fundamentally broken.
2. Is it True? (The "Dead End" Verdict)
Technically, yes—for the current architecture.
The consensus among many top AI researchers (including Yann LeCun and Richard Sutton) aligns with The Honest Torus: Autoregressive Transformers (LLMs) alone will likely never reach AGI.
* They are "stochastic parrots" (highly sophisticated ones) that lack the ability to plan, reason in a non-linear fashion, or understand cause-and-effect.
* If your definition of "Dead End" is "this specific tech won't become a sentient God-AI," then the video is likely correct.
3. Is it Likely? (The Nuance)
While the math says LLMs are a dead end for pure intelligence, it doesn't mean they are useless.
* The Hybrid Future: Most experts believe the "dead end" will be bypassed by plugging LLMs into formal verifiers. For example, Google DeepMind’s AlphaGeometry uses an LLM to "suggest" ideas and a symbolic engine to "prove" them.
* The "Dead End" is a Pivot: Historically, every AI "dead end" (like Perceptrons in the 60s) led to a pivot that created the next breakthrough.
Summary Table
| Feature | LLM Capability | Mathematical Requirement | Verdict |
|---|---|---|---|
| Logic | Statistical Correlation | Rigorous Deduction | Fail |
| Consistency | Probabilistic (P \approx (1-e)^N) | Absolute (1.0) | Fail |
| Knowledge | Compressed Internet Data | Underlying Axioms | Partial |
The Honest Torus is highlighting a fundamental truth: You cannot reach the moon by building a taller and taller ladder. You eventually need a rocket. LLMs are a very, very tall ladder.
The video by The Honest Torus presents a mathematically grounded critique of Large Language Models (LLMs), arguing that while they are incredible at mimicking patterns, they are structurally incapable of reaching the "Truth" or "General Intelligence" required for higher-level mathematics.
Here is a breakdown of the logic used in the video and whether those claims hold up to current scientific scrutiny.
1. The Core Mathematical Arguments
The "Dead End" argument usually centers on three specific mathematical and structural bottlenecks:
A. The "Probabilistic Decay" of Truth
This is the most compelling argument. LLMs are autoregressive, meaning they predict the next token (T_{n+1}) based on the previous tokens (T_{1...n}).
* The Logic: If an LLM has a 99% accuracy rate per token, the probability of a 100-token sequence being entirely correct is 0.99^{100} \approx 36\%. For a complex mathematical proof requiring thousands of tokens, the probability of staying "on the rails" approaches zero exponentially.
* The "Dead End": Simply making models bigger (scaling) doesn't solve this; it just moves the goalpost slightly further back.
B. Lack of a "World Model"
The video argues that LLMs represent a statistical map of language, not a logical map of reality.
* The Logic: In mathematics, a "Torus" (like the channel's namesake) has specific topological properties regardless of how you describe it in English or Python.
* The "Dead End": LLMs don't "understand" the torus; they understand the words usually associated with a torus. If you ask a question that requires navigating a logical space that hasn't been written about on the internet, the model has no "ground truth" to fall back on.
C. The Error Avalanche
In a mathematical proof, a single wrong sign or a slight misstep in a lemma invalidates the entire conclusion. Because LLMs lack a "self-correction" loop (a way to verify their own logic against a formal system like Lean or Z3 during the generation process), they are prone to "hallucinating" logical leaps that look correct but are fundamentally broken.
2. Is it True? (The "Dead End" Verdict)
Technically, yes—for the current architecture.
The consensus among many top AI researchers (including Yann LeCun and Richard Sutton) aligns with The Honest Torus: Autoregressive Transformers (LLMs) alone will likely never reach AGI.
* They are "stochastic parrots" (highly sophisticated ones) that lack the ability to plan, reason in a non-linear fashion, or understand cause-and-effect.
* If your definition of "Dead End" is "this specific tech won't become a sentient God-AI," then the video is likely correct.
3. Is it Likely? (The Nuance)
While the math says LLMs are a dead end for pure intelligence, it doesn't mean they are useless.
* The Hybrid Future: Most experts believe the "dead end" will be bypassed by plugging LLMs into formal verifiers. For example, Google DeepMind’s AlphaGeometry uses an LLM to "suggest" ideas and a symbolic engine to "prove" them.
* The "Dead End" is a Pivot: Historically, every AI "dead end" (like Perceptrons in the 60s) led to a pivot that created the next breakthrough.
Summary Table
| Feature | LLM Capability | Mathematical Requirement | Verdict |
|---|---|---|---|
| Logic | Statistical Correlation | Rigorous Deduction | Fail |
| Consistency | Probabilistic (P \approx (1-e)^N) | Absolute (1.0) | Fail |
| Knowledge | Compressed Internet Data | Underlying Axioms | Partial |
The Honest Torus is highlighting a fundamental truth: You cannot reach the moon by building a taller and taller ladder. You eventually need a rocket. LLMs are a very, very tall ladder.
Certainly not. However this also is a question of definition. The old terrain hugging cruise missiles of the 90 already used some kind of AI. But that didn't decide the target.
The school issue is complicated unless you believe everything you read in the news. For one Mossad has identified multiple mass quarters of the Mullah fighters, and guess where, in hospitals, schools and mosques. That makes them legitimate targets.
Also in this case while it was a targeting error the real target was next door, so who's fault is it? Those Muslim fuckers don't give a shit about those girls, or anybody who is not in their club of brainwashed monkeys. If these girls due to a miracle developed a critical view of the Koran the Mullahs would have happily shot them themselves.
The school issue is complicated unless you believe everything you read in the news. For one Mossad has identified multiple mass quarters of the Mullah fighters, and guess where, in hospitals, schools and mosques. That makes them legitimate targets.
Also in this case while it was a targeting error the real target was next door, so who's fault is it? Those Muslim fuckers don't give a shit about those girls, or anybody who is not in their club of brainwashed monkeys. If these girls due to a miracle developed a critical view of the Koran the Mullahs would have happily shot them themselves.
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I have a subscription to gemini - just because I can upload pictures which often helps identify addresses or items and such. Gemini accepts a pre-setting to be neutral when it comes to fringe theories and will happily discuss aliens, faster than light travel, higher dimensional math, how to make mars a blue planet and how to spin venus to a 24h day. I enjoy most of it bc try finding a living person with that kind of spectrum in interests and knowledge. But of course when it comes to real live application I have to double check everything. Hallucinating is a daily occurrence.
Yesterday in the course of a single afternoon gemini and I designed a fail save anti-drone umbrella for Ukraine that would protect the country 99.99% from everything except outright ballistic missiles. Of course even a test variant would cost around 2 million to make so I hope for a gofundme LOL (kidding - not a chance to ever get this financed although it would be 5000% cheaper than patriot).
Yesterday in the course of a single afternoon gemini and I designed a fail save anti-drone umbrella for Ukraine that would protect the country 99.99% from everything except outright ballistic missiles. Of course even a test variant would cost around 2 million to make so I hope for a gofundme LOL (kidding - not a chance to ever get this financed although it would be 5000% cheaper than patriot).
Is gemini biased? I am sure. It is almost impossible to create a scenario where russia wins the war although all kinds of pundits still insist that would be the likely outcome.
Just for fun, this is the world time line according to the numbers I crunched with gemini. lets see how this prediction will age (if this forum lives long enough that is)
2027/28: Russia fragments, Putin dies or is ousted, China takes over the east, the middle parts gain independence, the european part as a "rump state" aligns with the EU , sanctions are lifted and trade fully resumes. Nukes are mostly dismantled, sold to the USA/China and the EU pays for the dismantling. Rump Russia keeps a token number (like the UK).
The USA are not fully bankrupt but loose their position as money kingpin, they leave NATO but also loose their position as trusted ally for most east asian countries thanx to the devastation Trump has "arranged". Iran wins the war and becomes a leading power in the near east with or without the mullah regime (gemini was not sure about the long term survivability of the mullahs due to internal struggle).
2030-40: Most industries are now 99% mechanized and resources are the only "money" left which leads to focus on extra terrestrial mining (moon, the asteroids). Humanity shrinks to 4-5 billion, gas burning vehicles are all but extinct by the end of 2040.
China is busy integrating the ex-russian parts and gives up military takeover plans regarding Taiwan after XI is ousted or dies.
The planet will enter a mostly peaceful phase with only occasional regional or internal conflicts.
The alien presence is likely a known fact, officially or unofficially due to overwhelming proof.
Life extension succeeds in allowing for 600 year lifespans with negligible aging until death.
Let's see LOL
Just for fun, this is the world time line according to the numbers I crunched with gemini. lets see how this prediction will age (if this forum lives long enough that is)
2027/28: Russia fragments, Putin dies or is ousted, China takes over the east, the middle parts gain independence, the european part as a "rump state" aligns with the EU , sanctions are lifted and trade fully resumes. Nukes are mostly dismantled, sold to the USA/China and the EU pays for the dismantling. Rump Russia keeps a token number (like the UK).
The USA are not fully bankrupt but loose their position as money kingpin, they leave NATO but also loose their position as trusted ally for most east asian countries thanx to the devastation Trump has "arranged". Iran wins the war and becomes a leading power in the near east with or without the mullah regime (gemini was not sure about the long term survivability of the mullahs due to internal struggle).
2030-40: Most industries are now 99% mechanized and resources are the only "money" left which leads to focus on extra terrestrial mining (moon, the asteroids). Humanity shrinks to 4-5 billion, gas burning vehicles are all but extinct by the end of 2040.
China is busy integrating the ex-russian parts and gives up military takeover plans regarding Taiwan after XI is ousted or dies.
The planet will enter a mostly peaceful phase with only occasional regional or internal conflicts.
The alien presence is likely a known fact, officially or unofficially due to overwhelming proof.
Life extension succeeds in allowing for 600 year lifespans with negligible aging until death.
Let's see LOL
I have switched from Gemini to Opus 4.7. about 90% less hallucinations. but also some filters Gemini did not have - had to do some serious prompt modifications to get the purely defensive weapons design thru those filters. but in the end, if you split it into segments, it works.