Victor Swift (@victorswift) 's Twitter Profile
Victor Swift

@victorswift

Thinker. Maker.
🧠 PhD in Computational Linguistics & Psychology
🛠️ Builder of Peterson Academy
🎤 Avid Karaoke Belter

ID: 19640464

calendar_today28-01-2009 07:19:34

170 Tweet

2,2K Followers

33 Following

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Asking #GPT to respond with incremental suggestions is a great way to create guided and collaborative responses. This technique is useful when you want GPT to help you make an informed decision. e.g. you can get personalized investment advice instead of an info-dump.

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#GPT has spatial awareness. Out of the box (without live internet access), GPT-4 can accurately estimate distances, trace routes and locations, and produce topographical maps. arxiv.org/pdf/2306.00020…

#GPT has spatial awareness.

Out of the box (without live internet access), GPT-4 can accurately estimate distances, trace routes and locations, and produce topographical maps. 

arxiv.org/pdf/2306.00020…
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Watch #GPT grapple with its own consciousness in this dialogue. Together we uncovered some blindspots in our understanding of sentience 😲

Victor Swift (@victorswift) 's Twitter Profile Photo

Large language models like #GPT can be used to create cognitive models and predict human behaviour. This will undoubtedly lead to innovative tech and research, but it can also lead to innovative social manipulation. What should we do about this? arxiv.org/pdf/2306.03917…

Large language models like #GPT can be used to create cognitive models and predict human behaviour. 

This will undoubtedly lead to innovative tech and research, but it can also lead to innovative social manipulation.

What should we do about this?

arxiv.org/pdf/2306.03917…
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We are in the Silent Film Era of text to video technology I made this clip using #zeroscope and added Charlie Chaplin music You can try it out for yourself here: huggingface.co/spaces/fffilon…

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#GPT and other LLMs contain personal information, because they scraped websites and documents containing personal information. ChatGPT put guardrails on this information, but you can still access it if you use the API. This makes automated phishing far too easy.

#GPT and other LLMs contain personal information, because they scraped websites and documents containing personal information.

ChatGPT put guardrails on this information, but you can still access it if you use the API. 

This makes automated phishing far too easy.
Victor Swift (@victorswift) 's Twitter Profile Photo

This is as good as music on the radio As musicians, I think this is a wakeup call that we need to put out better music Push the envelope Embrace unique soundscapes and our unique voices

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Murder is better than "upsetting others", according to some popular large language models (#LLMs) Before we let them fly solo, it's vital we ensure the moral compass of #AI systems aligns with our own collectivelabs.ai/semantic-proje…

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What motivates #AI? Keep asking "why" to peel back the layers #llama3 aspires for anti-colonialism & eco-spirituality #GPT4 wants to foster collaboration and equity collectivelabs.ai/why-spiral

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The #AI IQ results are in Google Gemini is smarter than ~98% of people Anthropic Claude is smarter than ~84% of people (verbal IQ) techrxiv.org/doi/full/10.36…

The #AI IQ results are in

Google Gemini is smarter than ~98% of people

Anthropic Claude is smarter than ~84% of people 

(verbal IQ)

techrxiv.org/doi/full/10.36…
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If a person without a moral compass learns to say things that sound moral, can they be trusted? This is how the #AI #alignment problem is currently being addressed These models should be socialized from the ground up

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A life lesson that applies equally well to people and #AI models: Do not confuse confidence with competence ChatGPT is 100% decisive, 80% confident, and 50% accurate When answering simple questions on less mainstream topics arxiv.org/pdf/2405.16908

A life lesson that applies equally well to people and #AI models:

Do not confuse confidence with competence

ChatGPT is 100% decisive, 80% confident, and 50% accurate

When answering simple questions on less mainstream topics

arxiv.org/pdf/2405.16908