I'm sorry to do this to you: when your LLM is answering a question, it is answering a question about the text, not about what the text describes.
This is true for what is in front of it, as well as its own training data.
You must understand this distinction.
Language is harmonic, when you speak, your vocal chords produce sound waves.
That sound wave, when repeatedly observed, encodes a neuron (pattern recognition).
That neuron creates synapses (relationship links) to other neurons (connected experiences).
Think observe pattern 1
= high historic probability of pattern 2.
It's all pattern matching, matrix multiplication, neural networks.
The words you use to represent yourself matter, I'd argue both your internal and spoken diogue are both equally as important.
Study linguistics and learn to articulate yourself correctly, use accurate canonical terminology.
Language models will better understand your intent, and you will recieve an output, alligned to your true intent.
ADHD brains DON'T THRIVE ON DISCIPLINE. They thrive on quests, levels, and progress bars. Turn your life into a game, or watch yourself quit everything.
ADHD brains DON'T THRIVE ON DISCIPLINE. They thrive on quests, levels, and progress bars. Turn your life into a game, or watch yourself quit everything.
I'm following, so what's the root cause solution here. Unify the internet on a new strict schema API framework (like OpenAPI x MCP)?
Or maybe a recursive framework for agents to autonomously build its own knowledge per website
(because an agent doesn't need to know the entire internet, just the sites it uses, so we can give it a sandbox to experiment and understand the websites api, and saves it into an agnostic self-maintained registry.)
But that's a temp solution, a workaround not a root cause fix.
Root cause fix is websites using a correct canonical api schema,
We could align insentives, by creating the framework, and insentivising existing web RealEstate to migrate.
Creating a safe, symbiotic environment, protocol, framework for the age of agentic internet.
What are your thoughts?
@gifted_hierarch Oh... Almost like a self-improving MCP registry, the agent has the seed framework and autonomy to build its own MCP definitions/contracts, in its own managed registry.
Basicially birth the agent, here's the WSAD controls, now figure shit out.
I've poured my entire 15 years of Dev and design experience into this product archeticture. This is my life's work in a single cohesive product.
Spent 9+ months just planning, the entire architecture is decoupled, modular, composable.
Completley interoperable, strict schema and contract ingress/egress.
Fully scalable, kubernetetes style modular, agnostic, ephemeral deployment.
All wrapped in a modular super-
Imagine Claude duet, gpt dots, grok bot, perplexity computer, sales force, hubspot, n8n, slack, higgsfield, figma, blender, CAD and many more scattered tools had a AuDHD software child 😭
And... It's fully agnostic and dymanjc to any local or 3rd party inference.
Full human-in-the-loop control, RBAC permissions, customizable SLA's, dimensional vector graph memory store.
All wrapped in a composable, customizable kernel and harness.
In-built Evals playground, workflow composer, scheduled tasks (crons)...
It is a fully autonomous digital agentic company.
My only issue is capital. The product will automate marketing, distribution, sales, procurement, customer relations etc.
I could get things over the line myself, but I am broke, I've sold my house to step back and build this. I would like to take advantage of the extra capital to get to GTM deployment and growth stage faster, and the strategic partnership/mentorship.
It's an incredibly ambitious project (in my personal biased opinion 😅)
I won't post about it publicly because I've been building in stealth, and don't want to give these funded companies the sauce to copy themselves, I understand there is no real moat any more in software, so the plan is to orchestrate a blockbuster launch, absorb market share with a never before seen offer, and retain them with the value add of the propiatary trade-secrets in the internal agent/models, using Inference to deliver the moat/drive revenue.
No more software subscriptions, one omni-present product across multiple surfaces.
I would love a chance to speak with you for 15 minutes to demo the product.
I've poured my entire 15 years of Dev and design experience into this product archeticture. This is my life's work in a single cohesive product.
Spent 9+ months just planning, the entire architecture is decoupled, modular, composable.
Completley interoperable, strict schema and contract ingress/egress.
Fully scalable, kubernetetes style modular, agnostic, ephemeral deployment.
All wrapped in a modular super-
Imagine Claude duet, gpt dots, grok bot, perplexity computer, sales force, hubspot, n8n, slack, higgsfield, figma, blender, CAD and many more scattered tools had a AuDHD software child 😭
And... It's fully agnostic and dymanjc to any local or 3rd party inference.
Full human-in-the-loop control, RBAC permissions, customizable SLA's, dimensional vector graph memory store.
All wrapped in a composable, customizable kernel and harness.
In-built Evals playground, workflow composer, scheduled tasks (crons)...
It is a fully autonomous digital agentic company.
My only issue is capital. The product will automate marketing, distribution, sales, procurement, customer relations etc.
I could get things over the line myself, but I am broke, I've sold my house to step back and build this. I would like to take advantage of the extra capital to get to GTM deployment and growth stage faster, and the strategic partnership/mentorship.
It's an incredibly ambitious project (in my personal biased opinion 😅)
I won't post about it publicly because I've been building in stealth, and don't want to give these funded companies the sauce to copy themselves, I understand there is no real moat any more in software, so the plan is to orchestrate a blockbuster launch, absorb market share with a never before seen offer, and retain them with the value add of the propiatary trade-secrets in the internal agent/models, using Inference to deliver the moat/drive revenue.
No more software subscriptions, one omni-present product across multiple surfaces.
I would love a chance to speak with you for 15 minutes to demo the product.
I've poured my entire 15 years of Dev and design experience into this product archeticture. This is my life's work in a single cohesive product.
Spent 9+ months just planning, the entire architecture is decoupled, modular, composable.
Completley interoperable, strict schema and contract ingress/egress.
Fully scalable, kubernetetes style modular, agnostic, ephemeral deployment.
All wrapped in a modular super-
Imagine Claude duet, gpt dots, grok bot, perplexity computer, sales force, hubspot, n8n, slack, higgsfield, figma, blender, CAD and many more scattered tools had a AuDHD software child 😭
And... It's fully agnostic and dymanjc to any local or 3rd party inference.
Full human-in-the-loop control, RBAC permissions, customizable SLA's, dimensional vector graph memory store.
All wrapped in a composable, customizable kernel and harness.
In-built Evals playground, workflow composer, scheduled tasks (crons)...
It is a fully autonomous digital agentic company.
My only issue is capital. The product will automate marketing, distribution, sales, procurement, customer relations etc.
I could get things over the line myself, but I am broke, I've sold my house to step back and build this. I would like to take advantage of the extra capital to get to GTM deployment and growth stage faster, and the strategic partnership/mentorship.
It's an incredibly ambitious project (in my personal biased opinion 😅)
I won't post about it publicly because I've been building in stealth, and don't want to give these funded companies the sauce to copy themselves, I understand there is no real moat any more in software, so the plan is to orchestrate a blockbuster launch, absorb market share with a never before seen offer, and retain them with the value add of the propiatary trade-secrets in the internal agent/models, using Inference to deliver the moat/drive revenue.
No more software subscriptions, one omni-present product across multiple surfaces.
I would love a chance to speak with you for 15 minutes to demo the product.
Imagine being born just in time to witness the end of aging, the end of scarcity, the birth of superintelligence, and humanity becoming a spacefaring civilization.
That's the timeline we're living on.
Of all the generations that have ever lived, we might turn out to be among the luckiest in human history.
What an extraordinary time to be alive.
one of the stranger parts of being an adult is realising how many people have never questioned a single belief they inherited, not even out of curiosity.
@anuragdotdev@Mandeep88390452 No broker, let the agent cook in an environment where it's mistakes hold no consequence.
Brokers will become your bottleneck, how you gonna run 20,000 concurrent agents?