einrealist

11 ms·

91.
by einrealist 1y ago
I am not certain whether Trump recognizes how absurd this looks. People are playing him and his narcissism like a fiddle. Trump is too stupid to realize it. And he has no shame.
92.
by einrealist 1y ago
That's the myth of Trickle-down economics in action.
93.
by einrealist 1y ago
Interesting. Looks much simpler than Axon. I like the framework paradigms, how it is wired and how simple the domain classes can look like.
94.
by einrealist 1y ago
Same here! I did cancel my subscription. I hadn't used it much aside from Outlook anyway. I probably wouldn't have cared about it if there hadn't been a price increase. Its now Thunderbird and LibreOffice.
95.
by einrealist 1y ago
Will be answered by the ASI - soon. /s But to be serious: Intel creates software too (compilers for example). Nvidia does provide software too. Its also nice to sell licenses.
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by einrealist 1y ago
It's hard "to tune out" from the topic when investments in LLM technology surpasses revenues of nation states, and when US policy is not trying to prevent harm to society, but making it more likely. By 'harm', I don
97.
by einrealist 1y ago
Aside from the onboard computing required to power the AI model controlling the robot, which also consumes energy, it is important to be as efficient as possible. However, if an Optimus is intended to replace human labour, such as lifting
98.
by einrealist 1y ago
At what point does this remove the 'platform provider' defense for wrong or defamatory information generated by Google & Co?
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by einrealist 1y ago
This raises the question of when it becomes harmful. At what point would your company issue a cease-and-desist letter to Google? The liability question also extends to defamation. Google is no longer just an arbiter of information. They cre
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by einrealist 1y ago
What is the power consumption of these robots? I often wonder how limited and viable autonomous robots really are. When I look at Tesla's Optimus or Boston Dynamics' spectacular robots, how quickly do they need to be recharged?
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by einrealist 1y ago
I wonder by how much Musk and Bezos are driven by science fiction and how this materializes in the real world. Its okay to have dreams and goals. However, as soon as real resources (as in energy, materials, environmental impact) are spent,
102.
by einrealist 1y ago
And boil the planet.
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by einrealist 1y ago
So the progress is basically to brute force even more? We got from "single prompt, single output", to reasoning (simple brute-forcing) and now to multiple parallel instances of reasoning (distributed brute-forcing)? No wonder the
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by einrealist 1y ago
Your "API credits" don't buy the model. You just buy some resource to use the model that is running somewhere else.
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by einrealist 1y ago
Isn't "Engineering" is based on predictability, on repeatability? LLMs are not very predictable. And that's not just true for the output. Each change to the model impacts how it parses and computes the input. For someone
106.
by einrealist 1y ago
If those smaller models are sufficient for your use cases, go for it. But for how much longer will companies release smaller models for free? They invested so much. They have to recoup that money. Much will depend on investor pressure and t
107.
by einrealist 1y ago
The major AI gatekeepers, with their powerful models, are already experiencing capacity and scale issues. This won't change unless the underlying technology (LLMs) undergoes a fundamental shift. As more and more things become AI-enable
108.
by einrealist 1y ago
Those UN buildings in Geneva and New York, are they up for sale already? What about the buildings of the US Congress?
109.
by einrealist 1y ago
So as the space for possible decisions increases, it increases the likelihood of models to end up with bad "decisions". And what is the correlation between the increase in "survival rate" and the increase in model parame
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by einrealist 1y ago
"I"? You should treat yourself as an anecdotal exception. You are reading on HN. You are probably more aware about the advantages and shortcomings of LLMs. You are not a casual user. And that's the problem with our echo chamb
111.
by einrealist 1y ago
Remember that increasing the accuracy/correctness does not solve the problem. It only increases the cost of identifying cases where the LLM has failed. That's why I am highly sceptical about using LLMs in situations where accuracy
112.
by einrealist 1y ago
Found a TSLA shareholder.
113.
by einrealist 1y ago
For this reason, I never even considered using Telegram. If I were an unethical intelligence service like a Russian one, I would create a messenger app (and/or social network). Based outside my jurisdiction would add to plausible denia
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by einrealist 1y ago
All that to keep the investment pyramid schemes going.
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by einrealist 1y ago
Exactly. And even if LLMs become more accurate and qualitative better, it just raises the costs for validation. Errors and bad design decisions become harder to spot.
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by einrealist 1y ago
Good times for ex-contractors of Duolingo to have AI help them build a honest competitor app. Just watched a video about Sears today and it reminded me how fast top dogs can fail.
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by einrealist 1y ago
"and keep a human in the loop whenever single-digit accuracy points matter" So we are supposed to give up on accuracy now? At least with humans (assuming good actors) I can assume an effort for accuracy and correctness. And I can
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by einrealist 1y ago
And how many times did this scenario not occur? Guess, people want to focus on this particular scenario. Does it confirm biases? How strong is the influence of Science Fiction in this urge to discuss this scenario and infer some sort of int
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by einrealist 1y ago
Can the device work offline or does it need constant connection to a data center? Already sounds like a security and privacy nightmare.
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by einrealist 1y ago
This is one good example of the Sunk Cost Fallacy: generative AI has cost so much money, acknowledging its shortcomings is now becoming more and more impossible. This AI bubble is far worse than the Blockchain hype. Its not yet clear whethe

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