SaaS isnât dying, itâs just reaching its final form.
Software delivered as a service custom to your business - thatâs where this is going.
What we have called software as a service was really just remotely hosted software. Cloud software would be a better name for it. They just charged monthly for hosting it and called that the service.
You know how Dune is set after the Butlerian Jihad? In the original books Herbert is pretty clear it wasnât the machines (AI) themselves that took over. People turned their thinking over to machines hoping it would free them, and that just let those that controlled the AI enslave them.
The Jihad was as much against that âmachine-attitudeâ (offloading judgment and decision-making) as against the machines.
They banned anything artificial âin the likeness of a human mind,â (Basically they banned AI) which is why you get Mentats, spice-using Navigators, and the Bene Gesserit doing everything with drug enhanced wetware.
Whatâs wild is he wrote this in 1965 â before many of us were born, before personal computers or anything weâd recognize as modern AI. And honestly I think Herbertâs version is more realistic than the âAI just takes overâ story. The danger was always people using the tools to gain power over other people, not the tools independently deciding to rule. If someone wrote that premise today itâd feel like a direct response to the current AI discourse, but he did it decades earlier.
Replying to @andrewxroas
IMO, marketing and GTM are harder. But if you want someone who cares as much as you do, you will need to offer equity. Since the product is already making 1m a month, you are not hiring a cofounder - you are hiring a head of product/engineering. For someone good it would likely be 20% and 150k+ salary.
Replying to @suraj_sharma14
Know what 50% of this even means and only have built 3. Am I cooked?
Kevin has earned my follow. A philosopher-poet of our time.
Replying to @zeeg
Chatty-bots go blabba-blabba and give you a whole stinky word-soup because your brain is a squishy juice-box. Jev is the clicky-choosy machine. It no talky. It no story-time. You poke it with a tiny asky (âyes? no? which one, stinky?â) and it goes BLOOP and hands the computer a typed answer-nugget.
Replying to @zeeg
Chatty-bots go blabba-blabba and give you a whole stinky word-soup because your brain is a squishy juice-box. Jev is the clicky-choosy machine. It no talky. It no story-time. You poke it with a tiny asky (âyes? no? which one, stinky?â) and it goes BLOOP and hands the computer a typed answer-nugget.
I notice a lot of people are struggling to conceptualize Jev and where it fits in with current LLMs. In short its filling an important gap, not replacing LLM's đ
It helps to look at how we think.
When you open a support ticket, you donât carefully reason through everything from scratch. You notice things immediately. The customer sounds angry. This looks like a billing problem. The request seems routine, but something about it needs a second look.
Youâve made several judgments before youâve decided what to say.
Those judgments guide your attention. They let you move quickly through familiar situations and slow down when something needs thought.
In LLM agents, we often ask the same model to do all of that: assess the situation, reason through it, choose an action, and write the response.
Jev gives us a way to divide that work.
Give it messy context and specific, typed questions, and it returns decisions, probabilities, and confidence in about 100ms. An agent can use those results to act on a routine case, bring in an LLM for deeper reasoning, or ask a human for help.
Together, Jev and an LLM can form a system with something resembling the interplay between quick judgment and deliberate thought.
The rough analogy is System 1 and System 2. Our thinking depends on both, and on knowing when a first impression deserves closer attention.
Thatâs what makes the AGI argument interesting to me. Weâre starting to build systems where different kinds of processing work together and help determine when each is needed.
Itâs still a loose comparison to human cognition. Fast decisions plus an LLM donât establish general intelligence. But they give us a closer approximation of how we actually work: notice, judge, act, and think harder when the situation calls for it.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
Iâve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
⢠20-200x faster
⢠40-400x cheaper (w/ output tokens free)
⢠Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
Replying to @AdamBLevine
Funny, I'm about to implement something similar to fix the issue!
Replying to @hiarun02
My experience as well. Im not sure where to place it in my workflow. teapaw.org/TimMacc/status/2097682âŚ
Astra sucks for long running /goal work.
It gets in the weeds in a sort of perfectionist spiral and loses the big picture. Then it builds you a perfect "something" that's nothing like what you first set out for it to build.
It's also really good at burning a $200 Codex plan in 24 hours doing these spirals.
Still trying to figure out where it fits in my workflow. For now it needs HITL at gated steps to be useful.
Anyone else hitting this, or is it just how I'm running it?
Replying to @LinusEkenstam
I feel like for 3d and writing its great. Its really good when just prompting it back and forth, but on long running tasks with /goal its been horrible for me. teapaw.org/TimMacc/status/2097682âŚ
Astra sucks for long running /goal work.
It gets in the weeds in a sort of perfectionist spiral and loses the big picture. Then it builds you a perfect "something" that's nothing like what you first set out for it to build.
It's also really good at burning a $200 Codex plan in 24 hours doing these spirals.
Still trying to figure out where it fits in my workflow. For now it needs HITL at gated steps to be useful.
Anyone else hitting this, or is it just how I'm running it?
Replying to @AdamBLevine
to clarify - it only perfection spirals for me on long running tasks with /goal. Are you saying it does not do that for you?
Replying to @johnnynelai
Ive settled on something similar, but also: teapaw.org/TimMacc/status/2097682âŚ
Astra sucks for long running /goal work.
It gets in the weeds in a sort of perfectionist spiral and loses the big picture. Then it builds you a perfect "something" that's nothing like what you first set out for it to build.
It's also really good at burning a $200 Codex plan in 24 hours doing these spirals.
Still trying to figure out where it fits in my workflow. For now it needs HITL at gated steps to be useful.
Anyone else hitting this, or is it just how I'm running it?
Replying to @AdamBLevine
Astra sucks for long running /goal work.
It gets in the weeds in a sort of perfectionist spiral and loses the big picture. Then it builds you a perfect "something" that's nothing like what you first set out for it to build.
It's also really good at burning a $200 Codex plan in 24 hours doing these spirals.
Still trying to figure out where it fits in my workflow. For now it needs HITL at gated steps to be useful.
Anyone else hitting this, or is it just how I'm running it?
Astra sucks for long running /goal work.
It gets in the weeds in a sort of perfectionist spiral and loses the big picture. Then it builds you a perfect "something" that's nothing like what you first set out for it to build.
It's also really good at burning a $200 Codex plan in 24 hours doing these spirals.
Still trying to figure out where it fits in my workflow. For now it needs HITL at gated steps to be useful.
Anyone else hitting this, or is it just how I'm running it?




