Bryant Cruse
@BryantCruse
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Entrepreneur, Futurist, AI Pioneer, Aviator, Space Systems Engineer, Natural Philosopher, blogger at ForwardtotheFuture, Founder and CEO https://t.co/ogoIVVKyuP
Joined January 2021
How the GenAI Bubble is and is not like the Dotcom Bubble In late 1996 Fed chairman Alan Greenspan warned that the frenzied investment in any startup that had a dotcom in its name was “irrational exuberance.” But excitement was such that the warning, even coming from such a
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AI: The Fundamental Fallacy One thing LLM enthusiasts and skeptics have in common is that they use the same terms to describe the performance of LLMs and humans. People make statements everyday like, LLMs are good at “understanding” language, or that they can become “confused”
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Stop saying LLMs Hallucinate! There is fundamental fallacy with saying LLMs sometimes ‘make stuff up” or “hallucinate.” When humans hallucinate it is due to some kind of cognitive or sensory malfunction that causes them to sense or think something that does not correspond to
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With yesterday's successful landings of Superheavy and Starship, there can be little doubt that SpaceX will succeed in building a transportation system that will do for low earth orbit what the first transcontinental railroad did for California. Time for everyone, not just space
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However the industry decides to pivot, it must be made abundantly clear that Language Models, based on statistics will always have the listed problems, no matter the size. #ai #artificialintelligence #technology #llms #chatgpt
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If you are a student interested in building the next generation of AI systems, don't work on LLMs
The Godfather of AI is at #VivaTech! Yann LeCun (@ylecun) advises students coming into the industry: "Don't work on LLM. This is in the hands of large companies, there's nothing you can bring to the table. You should work on next-gen AI systems that lift the limitations of LLMs.
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Nice try. We may be burning $50B+ a year but LLMs ≠ AGI.
Sam Altman: I don't care if we burn $50 billion a year, we're building AGI and it's going to be worth it
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It’s estimated that by 2026, most high-quality language data will have been used to train LLMs. What is Big Tech’s solution to this slow but inevitable drying up of data? Training LLMs on AI-generated data. Still bullish on Generative AI? #AI #artificialintelligence #chatgpt
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GPT-5 will be fluent in misinformation, unreliable with reasoning about the physical and mathematical world, and illiterate in natural language comprehension. Crucially, it will not be Artificial General Intelligence.
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Last year, the AI industry spent $50 billion on NVIDIA chips. So far, their return was $3 billion. That’s not a good look. Will the bubble burst sooner or later? #ai #ArtificialIntelligence #chatgpt
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On the path to AGI, language models and statistics are barriers, not breakthroughs. Only one technology has the potential to achieve Artificial General Intelligence: https://t.co/TupxFnntBg
#agi #ai #genai #GPT5
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The PC changed our world for the better. It brought about massive productivity gains, built businesses we now cannot live without, and birthed unlimited opportunity. Learn more about the potential of sapiens at https://t.co/TupxFnntBg
#AI #startup #GenAI
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Our latest SK podcast goes over the 6 myths of #chatbots, which seem to always be discussed in the context of mainstream #AI #GenAI
https://t.co/ZLqUXnf11e
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Our latest podcast dives into the recent #chatbot mishaps. #ChatGPT was generating nonsensical responses towards the end of its interactions while #Gemini struggled to generate images of individuals of Caucasian descent. #ai #generativeai Watch now:
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Despite the #AI hype, let’s not forget the fails that #BigTech has swept under the rug. The agenda for mainstream AI, it seems, is to dismiss any and all wrongdoings of the systems in the hopes that folks just forget. #GenerativeAI #ChatGPT
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New Sapience has long believed that #GenAI is fundamentally flawed. It seems public sentiment is arriving at this same conclusion. Only one technology has been proven to truly understand language. Find out how we built true thinking machines at https://t.co/TupxFnntBg
#ai
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Our new episode discusses the chatbot controversy that affected Air Canada, and now LexisNexis. Further, we go over why businesses should be weary of introducing LLM chatbots into their operations. Watch now: https://t.co/IU6vEBFn0x
#ai #chatbot #llm #openai
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