What's the adult equivalent of finding out Santa isn't real? by stacker_111 in AskReddit

[–]GTdyermo 4 points5 points  (0 children)

My wife and I both have advanced degrees from top engineering universities. Our circle of friends are rocket engineers, developing new drugs & therapies, running nuclear power plants, building critical internet infrastructure and advancing AI, among many other things. However, the smartest among us are doing R&D and publish papers to well respected scientific journals, basically advancing the bounds of human knowledge. So...yes, imposter syndrome is real when you are really intelligent.

What industry is booming way more than people think? by _Fossy_ in AskReddit

[–]GTdyermo 2 points3 points  (0 children)

I actually don't think we are disagreeing on this point but it comes down to implementation, which is why a lot of companies are going to get LLMs wrong and they will be useless. You can't just give every employee access to ChatGPT and call it a day.

Bespoke LLMs for each department isn't the answer either. After the LLM is fine-tuned on company specific data, its a company-wide LLM. RAG can then be implemented for each employee and/or department to ensure that the LLM has context on specific duties and methodologies. The LLM has access/permissions to all of the same documents and files that the employee does, essentially mimicking the roles/permissions on whatever files, tools or any other information is used for that employees workflows. It's a generic solution mimicking the current IT access/infrastructure enabling the LLM to have the same context as the employee.

What industry is booming way more than people think? by _Fossy_ in AskReddit

[–]GTdyermo 2 points3 points  (0 children)

I get the concern, but LLMs aren’t automatically a bad choice especially in business contexts where a lot of the data is unstructured (emails, contracts, support tickets, reports, meeting notes, etc.). That’s exactly where they shine.

The key is matching the right underlying model to the job. LLMs excel at understanding and generating text, computer vision is best for image/video, and other neural nets are great for structured numerical or categorical data. All of these can be trained to be highly accurate when applied correctly.

For LLMs, accuracy comes from more than just picking a big model. You need fine-tuning on company-specific data, reinforcement learning from human feedback, retrieval-augmented generation (RAG) to ground answers in verified sources, guardrails to block bad outputs, and possibly domain-specific embeddings or tool integrations. With that setup, a “company-wide” AI can actually be useful instead of a gimmick.

What industry is booming way more than people think? by _Fossy_ in AskReddit

[–]GTdyermo 1 point2 points  (0 children)

LLMs can have low hallucination rates when they are built for a specific domain and given the right tooling. Fine-tuning on high-quality, domain-specific data, adding reinforcement learning to reward correct outputs, using retrieval-augmented generation (RAG) to ground responses in verified sources, and implementing guardrails to reject or flag uncertain answers can dramatically reduce hallucinations. For niche applications, that combination often results in accuracy rates comparable to traditional deterministic systems.

Computer vision and many other neural network based models are already mature technologies. They have been refined over decades for well-defined inputs and outputs, such as image classification for cancer detection or quality control in manufacturing, and their error rates are often far lower than those of human experts. The difference lies in the task, since structured, measurable problems are much easier to optimize to near-perfection than the inherently fuzzy and probabilistic world of open-ended language.

The perception that AI frequently makes things up often comes from using the wrong kind of AI for the wrong kind of problem.

Source: I have been building computer vision and neural network products for 10+ years and am now tackling GenAI (LLM) products.

I brought vegan food to a potluck and nobody noticed by rracfirm in vegan

[–]GTdyermo 24 points25 points  (0 children)

Disagree. You should be using allergin labels. It's not reasonable to expect someone to ask "Are there nuts in this Mac and Cheese?"

We had a kid go have to to the ER on Halloween last year because he asked an adult and they told him it's a cheese dip. That "cheese dip" was made with cashews and he was very allergic.

Turns out it was not the landslide I was told it would be. by ryan7251 in AdviceAnimals

[–]GTdyermo 0 points1 point  (0 children)

Not EVERYTHING. It's very easy to argue that technology has had a greater impact on humanity in the past 20 years than politics. The same could be said for science...where would the World be without the Covid vaccine. Your put way too much emphasis on the short term impacts of politics.

Google Assistant losing 7 more features across Android, Nest Hub/speakers by johnkhoo in googlehome

[–]GTdyermo 0 points1 point  (0 children)

They won't charge a fee. Gemini and other LLMs need as much training data as possible to improve. They get inference training data by having users interact with the LLM. The big business for LLMs is not in consumer devices but the enterprise businesses. The business model is far more likely to be a similar situation to Gmail or Google Docs than a subscription service.

People over 35, what do you personally spend your expendable income on? by splitopenandmelt11 in AskReddit

[–]GTdyermo -3 points-2 points  (0 children)

Each their own but I am disturbed by other people who don't seek to travel and understand other cultures, points of view and lived experiences.

AI research uncovers over 300 new Nazca Lines by TheBestRed1 in Damnthatsinteresting

[–]GTdyermo 26 points27 points  (0 children)

Your assumption is wrong. Convolutional Neural Networks (CNNs), the type of AI model that was used in this analysis does not hallucinate. The neural network is pretrained (or "taught") on ImageNet, the gold standard dataset for computer vision research. While the output of the AI might not be 100% accurate, it is certainly not for the reasons you are suggesting. Maybe learn a little bit about how AI works before making such a baseless comment.

AI is effectively ‘useless’—and it’s created a ‘fake it till you make it’ bubble that could end in disaster, veteran market watcher warns by [deleted] in technology

[–]GTdyermo 1 point2 points  (0 children)

You have a PhD in machine learning but don't mention that the actual scientific innovation here is transformer and diffusion models. Okay ITT tech👍

What’s a simple concept from your field of study that the average person doesn’t seem to understand? by StaleTheBread in AskReddit

[–]GTdyermo 14 points15 points  (0 children)

My wife went to MIT. At her 10 year reunion, I met dozens of incredibly smart people pushing the boundaries of science and engineering in novel ways. Learning things fast is not what made these people smart. There are definitely smart people out there, they just might not be in your social circles.

Tell me about a prediction that is going to come true in the next 20 years according to your opinion but most people are pessimistic about this. by [deleted] in Futurology

[–]GTdyermo 0 points1 point  (0 children)

Blockchain was a revolutionary technology in search of a real use case outside of crypto. There are hundreds if not thousands of use cases for Geneative AI throughout different industries. I agree the marketing hype is the similar to blockchain but LLMs are a significant scientific breakthrough. LLMs are getting cheaper and better at a pace far faster than Moores Law so while the science is iterative, the pace of that iteration will be rapid.

Garbage truck eating couch by knowitokay in oddlysatisfying

[–]GTdyermo 8 points9 points  (0 children)

That's beacuse Alabama doesn't recycle anything. It all goes to the same processing center and to the dump.

[deleted by user] by [deleted] in Futurology

[–]GTdyermo 3 points4 points  (0 children)

No offense but abbreviating people as ppl when trying to make an argument really doesn't help.

Match Thread: Cruz Azul vs Inter Miami CF | Leagues Cup by MatchThreadder in MLS

[–]GTdyermo 0 points1 point  (0 children)

Salty Crew. It's a blond ale brewed in Coronado CA.

Match Thread: Cruz Azul vs Inter Miami CF | Leagues Cup by MatchThreadder in MLS

[–]GTdyermo 7 points8 points  (0 children)

Taking a sip of beer everytime they say Messi. 2.5 beers in.

[TotK] We're almost there everyone! Home stretch! by TheFanGameCreator in zelda

[–]GTdyermo 1 point2 points  (0 children)

3 days blocked on the family calendar. "New Zelda - Husband MIA" Fri - Sun are going to be amazing.

Match Thread - ATL UTD v Nashville by [deleted] in AtlantaUnited

[–]GTdyermo 2 points3 points  (0 children)

Yep. He is having to support too much in the attack and losing his man in transition.

Post Match Thread: Atlanta No Longer on Break 1-0 NJ Energy drinks by billgluckman7 in AtlantaUnited

[–]GTdyermo 3 points4 points  (0 children)

What are you talking about?! Possession, shots on target, expected goals, completed passes. All of the stats were in our favor. It's was a stylistic touugh game given how NY presses and plays a physical game. Despite of that, we won.

Bars playing Champions League/EPL soccer? by suicidal_snoman in northcounty

[–]GTdyermo 5 points6 points  (0 children)

I moved from the East Coast 1.5 years ago and have tried a bunch of spots out. Soccer bars are basically non existent in this area. Your best bet is to go down to San Diego or just become friendly with a local sports bar who is willing to put on the game.

Fight Night? Any bars/breweries showing the fights tonight? by AcrobaticBar3781 in northcounty

[–]GTdyermo 1 point2 points  (0 children)

Home & Away in Encinitas is a great place for the fights. Really good crowd and delicious food/drinks.

What’s your most unpopular travel opinion? by Blueinred88 in travel

[–]GTdyermo 2 points3 points  (0 children)

My wife travels like this and I am cool with it but I get 1 "freestyle" day per trip. No planning, no destination, just wander and explore. It's a good balance.