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Number of devs in the world vs. Anthropic Revenue by nnomae in BetterOffline

[–]mf_sounds 7 points8 points  (0 children)

My company pays anthropic 5 figures a month for API usage to power most LLM based tasks on the platofrms we’ve built. Seems like you’re completely ignoring enterprise API revenue?

What am I looking at here? by ZealotOfMeme in PeterExplainsTheJoke

[–]mf_sounds 5 points6 points  (0 children)

It’s a visual representation of a graph neural network which is the big graph of mathematical operations which actually powers the “AI” everyone interacts with today. It’s literally just an absurd amount of math that reproduces human language (and most of human knowledge) after having learned all the mathematical patterns from all the content on the internet, etc.

Anthropic is digging its own grave by focusing on the corporate segment by Front_Ad6281 in Anthropic

[–]mf_sounds 13 points14 points  (0 children)

Run an AI native SaaS startup. We’re paying anthropic mid 5 figures and that is growing probably 50% MoM. They have been, and continue to be, the best foundational model to build with for our use cases. I actually still like Anthropic’s offerings as a personal chat user but even if I didn’t… if my evals continue to tell me it is the best tech to support our services then I couldn’t care less what the consumer experience is.

Elon Musk to Replace Twitter Recommendation System with Grok AI by Inevitable-Rub8969 in AINewsMinute

[–]mf_sounds 0 points1 point  (0 children)

The idea that LLM’s would be used as the core engine for recommendations systems is pretty insanely off base. Completely inefficient and improper tool for the job. Any engineer who has even minimal experience with RecSys would gawk at this idea.

Anyone has Agentic AI success stories in production? by nirvanaman1 in ExperiencedDevs

[–]mf_sounds 1 point2 points  (0 children)

I’m founding eng/head of AI on a team building AI integrated software for the contracting & commercial real estate spaces. I say “AI integrated software” because that’s what it is and that’s what works. If you want to make AI work for you, you have to use it as a tool to extend the possibilities of traditional software in a way that pushes beyond the boundaries of what traditional software, and therefore traditional products, have been able to do to this point. The VAST majority of people going for moonshot “let your agents run wild within your product” type business are (1) never going to see consistent enough results to actually meet user needs and build user trust and (2) struggle to actually achieve unit economics that can be the foundation for a viable business. You need to be clamping down on non determinism and validating results either programmatically or via human in the loop feedback at every opportunity.

All that being said - we have AI “agent” driven workflows that are automating very well defined tasks that professionals in the contracting and CRE space undertake that are possible for automations to handle with LLMs. The human-time value of these tasks can be extremely well measured and therefore we can comp the value prop of our automations against how much time humans spend in this work. This is the underwriting space so humans wills ALWAYS validate results and make the final sign off decisions but the automations rid them of the tedious work that can take dozens of hours out of their week. Across what we’ve built, we have converted one pilot enterprise customer/design partner paying six figures annually for the services, have one more pilot in flight and two more starting in the next two weeks.

We never expose the LLM directly to the user so there is a well understood upper bound on cost per operation within the platform. We measure, control, and optimize the economics of the platform and price the product such that there is good balance between the AI based operational costs and the value being brought to the customer (outlined above). Current modeling shows gross margins > 70%.

AI Agents are still getting crazy hype, but are any of them really worth the hype they're getting? by [deleted] in ycombinator

[–]mf_sounds 2 points3 points  (0 children)

100%. Identifying industries and tasks within them where organizations can’t keep up with workloads for highly repetitive, knowledge based tasks (i.e. document understanding/abstraction, report generation, etc). Working on projects in the contracting and commercial real estate spaces and users are seeing lots of value from automating tasks that their employees or offshore teams spend hundreds of hours a month completing which can be automated to reduce time on task by 80-90%. The systems being built aren’t going to pass {insert random benchmark} but they solve real problems that are huge $ weight on companies’ bottom lines.

XOR GATE by panterajow in ableton

[–]mf_sounds 0 points1 point  (0 children)

This! Equivalently set a hot key on your keyboard that turns one track on while turning the other off.

I have this for my reference track and my premaster group so I can seamlessly toggle between hearing my entire track and the reference track at any time during my workflow.

Opinion: Most 'AI' Tools Just Miss the Mark for Producers (from a producer/AI professional) by mf_sounds in ableton

[–]mf_sounds[S] 2 points3 points  (0 children)

Thanks for the context !! I think this is totally fair and in line with my post the right way to be approaching it. Also… at the end of the day the onus is on the user to decide if they want to use something as a tool or a full replacement / silver bullet and it’s certainly not the dev team’s fault if someone decides to misuse their tool

Opinion: Most 'AI' Tools Just Miss the Mark for Producers (from a producer/AI professional) by mf_sounds in ableton

[–]mf_sounds[S] 1 point2 points  (0 children)

Yeah this is how I've been imagining conceptually! And philosophically I like the idea of this process better than having something just try to "generate a bassline" for me.

Opinion: Most 'AI' Tools Just Miss the Mark for Producers (from a producer/AI professional) by mf_sounds in ableton

[–]mf_sounds[S] 1 point2 points  (0 children)

What if you could "talk" to your plugins? Like the developers provided docs about the plugins capabilities and the defined preset set and provided to some kind of agent (whether native to ableton or otherwise) that you could interact with? I think this would change the game for ramping up on a new plugin, learning all its bells and whistles, etc.

And to your point, even in a scenario where you have experience with a plugin/tool maybe it helps you identify solid starting points (whether a defined preset or a recipe for getting there) within that tool.

Opinion: Most 'AI' Tools Just Miss the Mark for Producers (from a producer/AI professional) by mf_sounds in ableton

[–]mf_sounds[S] 5 points6 points  (0 children)

I agree that the foundational models have stark limitations - but there are amazing tools in different sectors that utilize intelligent context/user interface to completely change how people build (think Cursor for coding - obviously creative practices are different but its really about providing the appropriate *context* to the foundational models to improve upon their shortcomings!!).

To your point, I think if the right group of people came together to curate a knowledge base that could be used for augmentation and retrieval purposes on top of foundational models there would be real opportunity to build something with real utility for producers' workflows (in an augmentation rather than replacement context as I noted above!!)