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Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

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Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#601
post #589

The new Sonnet tops aider's code editing leaderboard at 84.2%. Using aider's "architect" mode it sets the SOTA at 85.7% (with DeepSeek as the "editor" model). 84% Claude 3.5 Sonnet 10/22 80% o1-preview 77% Claude 3.5 Sonnet 06/20 72% DeepSeek V2.5 72% GPT-4o 08/06 71% o1-mini 68% Claude 3 Opus It also sets SOTA on aider's more demanding refactoring benchmark with a score of 92.1%! 92% Sonnet 10/22 75% o1-preview 72%…

I will repeat my question from one of the previous threads: Can someone explain these Aider benchmarks to me? They pass same 113 tests through llm every time. Why they then extrapolate ability of llm to pass these 113 basic python challenges to the general ability to produce/edit code? Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value? Did anyone e…

> Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value?

Yes, this is an inherit problem with the whole idea of LLM's. They're pattern recognition "students" but the important thing, that all the providers like to sell is their reasoning. A good test is a reasoning test. I'll try to find a link and update with a reference.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#602
post #374
post #344

This is actually a huge deal. As someone building AI SaaS products, I used to have the position that directly integrating with APIs is going to get us most of the way there in terms of complete AI automation. I wanted to take at stab at this problem and started researching some daily busineses and how they use software. My brother-in-law (who is a doctor) showed me the bespoke software they use in his practice. Runni…

This has existed for a long time, it's called "RPA" or Robotic Process Automation. The biggest incumbent in this space is UiPath, but there are a host of startups and large companies alike that are tackling it. Most of the things that RPA is used for can be easily scripted, e.g. download a form from one website, open up Adobe. There are a lot of startups that are trying to build agentic versions of RPA, I'm glad to s…

I was going to comment about this. Worked at a place that had a “Robotics Department”, wow I thought. Only to find out it was automating arcane software.

UI is now much more accessible as API. I hope we don’t start seeing captcha like behaviour in desktop or web software.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#603

Earlier quoted context omitted.

> B) potentially phase out Opus, and instead introduce new branding for what they called a "reasoning model" like OpenAI did with o1(-preview) When should we be using the -o OpenAI models? I've not been keeping up and the official information now assumes far too much familiarity to be of much use.

I think it's first important to note that there is a huge difference between -o models (GPT 4o; GPT 4o mini) and the o1 models (o1-preview; o1-mini). The -o models are "just" stronger versions of their non-suffixed predecessors. They are the latest (and maybe last?) version of models in the lineage of GPT models (roughly GPT-1 -> GPT-2 -> GPT-3 -> GPT-3.5 -> GPT-4 -> GPT-4o). The o1 models (not sure what the naming s…

Thank you.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#604
post #344

This is actually a huge deal. As someone building AI SaaS products, I used to have the position that directly integrating with APIs is going to get us most of the way there in terms of complete AI automation. I wanted to take at stab at this problem and started researching some daily busineses and how they use software. My brother-in-law (who is a doctor) showed me the bespoke software they use in his practice. Runni…

LLM's are enabling a reimagination of UI. Wheres the biggest opportunity in UI that hasn't kept up to date? legacy and regulated software in the long tail. Thats the disruption opportunity for LLM's.

Imagine a Banking website. It has lot of predefined flows of what can be achieved. These flows have steps arranged in a dependency graph. From the server side, a llm can ask users for inputs to satisfy the dependencies of the task which user wants to accomplish. We will have intuitive UI interfaces in all languages of the world.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#605
post #589

The new Sonnet tops aider's code editing leaderboard at 84.2%. Using aider's "architect" mode it sets the SOTA at 85.7% (with DeepSeek as the "editor" model). 84% Claude 3.5 Sonnet 10/22 80% o1-preview 77% Claude 3.5 Sonnet 06/20 72% DeepSeek V2.5 72% GPT-4o 08/06 71% o1-mini 68% Claude 3 Opus It also sets SOTA on aider's more demanding refactoring benchmark with a score of 92.1%! 92% Sonnet 10/22 75% o1-preview 72%…

I will repeat my question from one of the previous threads: Can someone explain these Aider benchmarks to me? They pass same 113 tests through llm every time. Why they then extrapolate ability of llm to pass these 113 basic python challenges to the general ability to produce/edit code? Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value? Did anyone e…

> Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value?

They could. They would easily be found out as they loose in real world usage or improved new unique benchmarks.

If you were in charge of a large and well funded model, would you rather pay people to find and "cheat" on LLM benchmarks by training on them, or would you pay people to identify benchmarks and make reasonably sure they specifically get excluded from training data?

I would exclude them as well as possible so I get feedback on how "real" any model improvement is. I need to develop real world improvements in the end, and any short term gain in usage by cheating in benchmarks seems very foolish.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#606

Earlier quoted context omitted.

This is, craaaaaazzzzzy. I'm just a layman, but to me, this is the most compelling evidence that things are starting to tilt toward AGI that I've ever seen.

Nah, it's the equivalent of seeing faces in static, or animals in clouds. Our brains are hardwired to see patterns, even when there are none. A similar, and related, behavior is seeing intent and intelligence in random phenomenon.

Consciousness is a suitcase term. Once all the clothes that define consciousness are neatly arranged and packed into AI then it will be conscious too.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#607
post #589

The new Sonnet tops aider's code editing leaderboard at 84.2%. Using aider's "architect" mode it sets the SOTA at 85.7% (with DeepSeek as the "editor" model). 84% Claude 3.5 Sonnet 10/22 80% o1-preview 77% Claude 3.5 Sonnet 06/20 72% DeepSeek V2.5 72% GPT-4o 08/06 71% o1-mini 68% Claude 3 Opus It also sets SOTA on aider's more demanding refactoring benchmark with a score of 92.1%! 92% Sonnet 10/22 75% o1-preview 72%…

I will repeat my question from one of the previous threads: Can someone explain these Aider benchmarks to me? They pass same 113 tests through llm every time. Why they then extrapolate ability of llm to pass these 113 basic python challenges to the general ability to produce/edit code? Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value? Did anyone e…

Indeed, test data like this constantly leaks into the training data, so these leaderboards are not necessarily representative for real-world problems. A better approach is to use variable evaluation like GSM-Symbolic (for evaluating mathematic reasoning): https://arxiv.org/abs/2410.05229

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#608

Earlier quoted context omitted.

Healthcare has the extra complication of HIPAA / equivalent local laws, and institutions being extremely unwilling to process patient data on devices they don't directly control. I don't think this is going to work in that industry until local models get good enough to do it, and small enoguh to be affordable to hospitals.

That industry only thinks it controls its devices. Crowdstrike showed there are many bridges over that moat.

Their concern is compliance, not security.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#609

Earlier quoted context omitted.

Cluade scans page and decides which button to click before the screen layout is finished. By the time user authorizes the click, layout has shifted and your click lands on malware advertisements.

lol. If any website ever did that to me it would be the last time I ever went to it. Not a big concern for me.

Youtube constantly moves it's layout seconds after the page begins to paint, so I try to click on fullscreen or whatever and then the viewer shifts to the side and I wound up clicking a link to some other video.

Probably would have been an ad there if I didn't block those, though.

Re: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

#610
post #605
post #589

Earlier quoted context omitted.

I will repeat my question from one of the previous threads: Can someone explain these Aider benchmarks to me? They pass same 113 tests through llm every time. Why they then extrapolate ability of llm to pass these 113 basic python challenges to the general ability to produce/edit code? Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value? Did anyone e…

> Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value? They could. They would easily be found out as they loose in real world usage or improved new unique benchmarks. If you were in charge of a large and well funded model, would you rather pay people to find and "cheat" on LLM benchmarks by training on them, or would you pay people to identify benchm…

It sounds very nice, but at the same time very naive, sorry. Funding is not a gift, and they must make money. The more funding they get - the more pressure there is to make money.

When you're in charge of a billion-dollar valuation company which is expected to remain unprofitable by 2029, it's hard to find a topic more crucial and intriguing than growth and making more money.

And yes, it is a recurring theme for vendors to tune their products specifically for industry-standard benchmarks. I can't find any specific reason for them not to pay people for training their model to score 90% on these 113 python tasks, as it directly drives profits up, whereas not doing it will bring absolute nothing to the table - surely they have their own internal benchmarks which they can exclude from training data.

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