shoman3003
AI is coming for accounting after coding
Ai agents in accounting firms are way less effective than Ai agents in law firms for example. writing contracts is where an LLM shines, it's basic building blocks are formal words. Formal is the key term here.Accounting if different. More precise, it tolerates less mistakes. The rules that govern it are much less open to intrepretation.In accounting, the rules are more grounded. Not in...
Inequality Is How Civilization Forgets
we are not here to do their job for them, we are not a lottery card for their x4 return.
enough with the shit, enough hyping them up. enough talking about fundraising as if it was the world cup. it is not.
Agentic Learning Without Retention
learning without retention
Counter Intelligence Invitation
Holy shit, we just invented a new agentic memory architecture
Holy shit, we just invented a new agentic memory architecturei thought we were stuck in 2025, but it turned out we were a head of the curve. i can't believe that the best memory system invented so far is the one openclaw uses, finally we are a step ahead. now comes the hard part, sales.The memory harness %99 of agents use nowadays are barely agentic. It's the bottleneck holding down the entire...
Formula for how cold outreach works
This is an equation i invented to help me communicate how sales work to the team...it's simple but trust that nobody can hack it; even the unicorns:outreach = value * trustif trust is 0, no matter how good the product is, no sale.if value is 0, even your own family will not purchase.But we all understand value considering our schooling, what is harder for us to understand is trust. We are much...
You all think it's normal to sit behind a laptop all day
The moment i saw the first llm, i knew the future of tech is keyboardless, actually i was trying to get there before gpt but failed. The fact that its 2026 and most of the industry doesn't see this is baffling to me. When both hardware and software giants are innovating in the same direction (neuralink, apple vision, voice models...etc),You all think using a keyboard and a mouse all day is...
I started looking back at my own memories trying to understand how my mind remembers stuff as opposed to how agents do, and then i came across a pg essay that mentioned something similar.
Human memory doesn't store images in full resolution; just think back to any old memory you have - it's barely visible (100*100res). The older the memory is, the lower the resolution is. Faces are usually blurred; the images are there for context not for clarity. Same with text, when i look back at an old conversation, i don't remember most of the stuff that was said nor do i remember a "summary" of what happened. My memory of conversations is a lot like my memory of images; one part is ultra clear while the other parts are blurred (pain=weights).
Why would our minds blur stuff if they are saved to long-term memory! if my 10-year-old laptop has 500gb storage, my brain definitely has many terabits if not x100 that! Why do i have to relearn a skill that i used to be very good for years when i clearly remember almost all of the steps to how to do it. This sounds a lot like a context memory that went through compaction & then dumped to the disk. Even tho the log has been saved to long term memory; it's no longer usable unless rebuilt into a new context again, which is why i need to relearn the skill.
ONE POSSIBLE EXPLAINATION why the brain needs to care about memory saving to this a degree that it has to forget all of the details about my first car except its color & brand. It's that our biological memory is operating more like a set of context windows that switch between each other not retrieving data from a permanent long-tern storage!
Which means that we switch back and forth between different specialized context windows while we work (which is why we can switch takes in less than 60sec). Unless the context window is dumped into the long-term memory, we can still load it fast. The brain doesn't dump current sessions unless something major happened, when we change career, cities or we go through something big.
Whenever i am in a new city it feels like a new context window has loaded into my brain, my childhood memories suddenly feel different, the stuff relating to a different career i had in the old city feel alien. The new context window even makes me think in a different lens & analyze stuff from a totally different angle.
Why are we not doing the same with Ai, why do all memory structures either remove the full old sessions entirely or summarize them into oblivion? why not do what the brain is already doing & spread the work across 100s of context windows that each is concerned with 1 thinking pattern?!
~%40 are building generic Ai agents that does everything (aka, does nothing)
~%25 are building customer support agents with no differentiation whatsoever
~%20 building coding agents that claude already outshines
~%5 building an Ai CXO that doesn't really make sense in 2026
~%3 building financial agents that does reconciliations (what's new) ~%3 building agents for lawyers that writes/summaries documents (2023 says hello)
~%1 doing an Ai picture story maker for children (0 retention rate) ~%1 doing an Ai video editor that is less video more image+caption slop
~%2 doing Ai therapy/emotional tracking that doesn't really work
Not a single one is building anything new. Every single website is the same (ai agent that can save you xh/week), even the freaking UI is the same vibe coded purple/blue
Maybe you guys should read about what you are supporting first.
Persistent vs. Stubborn / Genius vs. Intelligent
inspired by a PG essayI spent a week thinking about why I hate intellectuals so much. Here are 2 tables that helped me navigate it. If you have better terminology for all of this, please share.| # | Persistent | VS. | Stubborn | | 1 | Irrational about Problem | Irrational about Process | | 2 | Curious & Driven | Devout & Driven | | 3 | Creative | Disciplined | | 4 | Open Personality |...
it's not Ai if the LLM is not in control
I always thought that the frontend of "Ai" is awful, but now I know it for sure:OAI5.1+ is good, but chatgpt sucks, it doesn't have gmail integration and barely able to do anything but basic retrieval from the integrations it actually has.Opus is amazing, but claude web is mediocre at best. It has a very limited set of integrations even after 2 years, some don't even work (clay), and it uses...
French & German do have a wide range of emotional language. You can literally express dozens of complex emotional states in 1 word where it would take 2 sentences to express in English. Still, the french/german words invented so far to express emotional states are fairly primitive compared to the actual emotional states we go through each day. There are still hundreds no mapped out, many have no word in any language. Imagine if English had no such word as Grit, Obsession or passion, would you really be able to consider someone speaking English emotionally intelligent?!
An Ai therapist app for example can't really do a good job when many of the emotions the patient feels do not have a word associated with them! which is why a human therapist is still kicking as due to her intuitive detection of that emotional state that needs 2 sentences to describe.
This is just 1 example. Language itself is the #1 limiting factor for how intelligent something can be (artificial or not)! What we call intelligence is the abstract ability to find new patterns in a given environment. An ai playing an alien game is unlikely to win if it were only allowed to define %50 of the objects in the game. Same with humans, if our ancestors didn't map all of the possible objects/emotions/items in the world into language, we can't ever pretend that a digital intelligence can navigate it, it literally has no access to %90 of it.
If we had a language with 50 letters for example, the 2 sentences needed to describe each emotional state (made of a dozen different individual emotions that we have a word for, and some we didn't map yet) would need only 1 word to describe them laser accurate it makes the reader feel the emotion without needing to experience it firsthand.
In a world where a 50-letter language is wildly used by agents, where the digital intelligence is literally able to remember an unlimited number of words - there wouldn't be a need to distort the truth by oversimplifying the thinking process to save memory or to consume less calories. -We can have a word for every type of American to "grand grandparent career" level, not just call someone black American or white American. -We can have a different word for every type of attraction, not call all Love. There is "you make me feel good love", "I like your apartment love", "you can be my future wife love"...e.t.c -We can have a different word for each new startup; a "$5 million ARR startup" is different from a "50M 2-year-old startup". -Each employee would have 1 word that describes their entire career right away to the HR Ai.
Shark Tank is just free PR for investors
Lori Greiner celebrated doing 1 billion in lifetime sales after 15 years On Air on her entire portfolio!!Let's assume an average %60 margins ~ $600 million gross profit & %20 net profits (rare for tank deals) ~ $200 million is profits max%10 is the average deal on the show ~ $20 million in dividends capital gain on a unicorn exit (unlikely) ~ $100 million She invested ~2m max per season...
How are you so sure this is not just another winter
Because recently I am able to finish an entire episode on netflix without having to check on the agents, sometime that episode is 40 min long!I literally watch more TV than I do actual work, and I am still 3 times more productive than last year!I am not even up to date; some people wake up & tell the agents what to do & then go back to sleep
How we are looking for cofounders is stupid
I have literally talked to hundreds of potential cofounders in the past year, some with awesome skill sets, some with access to millions in funding, and some who were wizards with social.None of that stuff matters guys! at least not as a first filter for finding a cofounder. What matters to a new startup more than anything else is energy/chemistry, working with someone you like a little bit is...
If you are not doing $10k per month, your problem is not what you think it is
the first 10k MRR has nothing to do with the code or the hundred other things you waste your time on. If a car is sitting still and not moving at all when you keep hitting the gas, you don't go fixing the tires or doing a new paint job. %100 chance it's because there is no gas in the tank (assuming the motor works).I sold a subscription of $300/y (accounting software) that I didn't even have...