Hugo Camacho

418 posts

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Hugo Camacho

Hugo Camacho

@veractor

Data Science, MS. UWisconsin. Statistical Analysis and Machine Learning applied to healthcare, health insurance, and ancillary services.

California, USA Sumali Nisan 2018
115 Sinusundan47 Mga Tagasunod
Hugo Camacho
Hugo Camacho@veractor·
Healthcare: USA 2024 ranks 10th worst 1) Lowest life expectancy from preventable disease. 2) Barriers to affordable care 38% adults skip recommended care due to cost. 3) Largest disparities between high and low-income residents able to afford healthcare. commonwealthfund.org/publications/f…
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Hugo Camacho
Hugo Camacho@veractor·
THOR AI framework calculates complex materials in physics in seconds. Thor AI relies on "tensor train cross interpolation" the results were compared with Los Alamos simulations. Returning answers 400 times faster in seconds - instead of weeks. sciencedaily.com/releases/2026/…
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Hugo Camacho
Hugo Camacho@veractor·
AI Agents may devalue your brand if they mispronounce your products. When using AI tools in customer service or training tools for internal HR or external customers (i.e., training vendors on services or software). Make sure it is pronouncing your products and services correctly
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Hugo Camacho
Hugo Camacho@veractor·
In AI, "benchmark saturation" is when an evaluation test (benchmark) used to evaluate which model outperforms other models no longer differentiates between top-performing LLM (Large Language Models) because their scores have hit a functional ceiling; where they perform the same.
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Hugo Camacho
Hugo Camacho@veractor·
AI Agents can now "rent humans" (as a proxy) to do tasks where the AI Agent cannot be physically present. AI Agents can pay for goods and services but it cannot sign legally binding contracts. AI cannot assess discriminatory hiring practices or be personally liable for errors.
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Hugo Camacho
Hugo Camacho@veractor·
Employee compensation tied to usage of AI tools. Meta: AI is a "core expectation". Shoosmiths (UK): usage of MS Copilot. Accenture: regular usage AI platform. Brex: AI projects, & workflow redesign. Sanofi: experimenting projects with AI. IBM: ties AI innovation to contest
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Hugo Camacho
Hugo Camacho@veractor·
Finished reading "Valley of Genius: The Uncensored History of Silicon Valley". This is a compilation of the actual words said by the founder of startups of companies like Microsoft, Apple, Atari, Google, Napster, Facebook, dot com market bust since the 70's, 80's, 90's,2000's.
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Hugo Camacho
Hugo Camacho@veractor·
In Tron: Ares, the AI escapes from his virtual-world through pseudo-advanced 3D printing. This type of storyline is a reverse "Isekai Ten'i" (Japanese) a fantasy character leaves their fantasy-world and enters into our own reality. Could AI one day will itself into existence?
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Hugo Camacho
Hugo Camacho@veractor·
MIT (2024) researchers recently proposed the Platonic Representation Hypothesis (PRH) to explain how AI Models LLMs are all starting to converge (behaving in similar ways) as these continue to scale (get bigger) even when they were trained with different corpus (body of data).
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Hugo Camacho
Hugo Camacho@veractor·
DIT (Dead Internet Theory) a 2016 conspiracy theory is real. Asserts humans no longer drive the internet. A 2024 cybersecurity report estimates over 51% of content was bot-generated eroding user trust leading to a "crisis of perception" as users interact less with real people.
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Hugo Camacho
Hugo Camacho@veractor·
@RosanaFerrero Great quote. But "data is like garbage" was not by Mark Twain. The quote is likely from consultant Michael Tveite and wasn't falsely linked to Twain until 1986—76 years after his death. Twain used the word "trash," but "data collection" wasn't even a concept in his era.
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Rosana Ferrero 📈📊🙌
Rosana Ferrero 📈📊🙌@RosanaFerrero·
Nos obsesionamos con el modelo, el p-valor y las métricas de desempeño, pero olvidamos lo esencial: si el diseño es débil, el resultado también lo es. Datos limpios y modelos sofisticados no arreglan un mal diseño. La validez no se calcula, se piensa: linkedin.com/posts/rosanafe…
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babar
babar@AJovemVegana·
@Golovanov_ammoc Looks pretty well-rounded! Any chance you could share it here? I would also like to have my students take a look at it.
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Yaashaa Golovanov
Yaashaa Golovanov@Golovanov_ammoc·
This is the final culmination of one year of teaching groups, rings, fields, module & Galois theory to a high schooler, Prasanna, at AMMOC. On his research page, find a large list of problems which were used to test his understanding. sites.google.com/view/prasanna-… What you think?
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Hugo Camacho
Hugo Camacho@veractor·
@Neura_Web3_AI Content (even AI) is the Internet's ecosystem - pay to be see or get paid for showing. Random SLOP (animated or realistic-looking) has entrainment or escapism value. However, the SLOP that looks realistic should be tagged as fake content. @Sora @kingai @openai @microsoft @grok
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Neura
Neura@Neura_Web3_AI·
@veractor Ai slop isn’t an AI problem, it’s an incentive problem. When speed > meaning, garbage wins. That’s exactly why emotional context + intent (what we’re building at NEURA) matters more than raw generation.
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Hugo Camacho
Hugo Camacho@veractor·
AI SLOP (Standard Low Quality Production) refers to low quality, high volume content. It's repetitive, absurd, contains hallucinations, fake, etc. Intended to go viral and generate ad revenue while using emotional or shocking visuals and cheap to create.  youtube.com/watch?v=uqcoTw…
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Hugo Camacho
Hugo Camacho@veractor·
Örebro University, Sweden, released an EEG-AI model for detecting dementia 7 years before the symptoms appeared (in some instances 10-18 years before formal diagnosis) by analyzing disruptions in our alpha, beta, and gamma sleeping patterns. news-medical.net/news/20251127/…
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Hugo Camacho
Hugo Camacho@veractor·
In the Short-Term AI help increase employee productivity but in the Long-Term reliance on AI can undermine the psychological experience of the human workforce, new study finds. nature.com/articles/s4159…
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Hugo Camacho
Hugo Camacho@veractor·
Absence Of Reasonable Risk in AI models implies an "acceptable" minimal risk when weighed against the benefits where the potential harm caused is not greater than what is encountered in our daily life and where appropriate actions were taken to minimize those possible dangers.
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Hugo Camacho
Hugo Camacho@veractor·
Using AI without validating outputs (i.e., accuracy, references, meaning, etc.) may result in Abdication Of Responsibility which may result in harm to reputation, no future business, revoked license, lawsuits, dropped from risk insurance coverage for malpractice, and so forth.
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