Elpis Bound

Blink.

Soft blue light danced on airbrushed metal inches from his face.

Mist spread over the glass as the cryochamber slowly reheated.

“Welcome back,” a silvery voice tinkled gently. “You’ve been asleep for two weeks.”

As the pod’s curved ceiling came into focus, he remembered. “Two? But Elpis is–”

“Four weeks away. Yes.” A pause. “Jason, something unexpected occurred this morning.”

It came from a remote pocket of deep space millions of light-years away, where two ancient neutron stars collided and sealed his fate. It was a gravitational wave, hidden within the mathematical models and path computations, unseen by even the planetary supercomputer that plotted the starline flights.

From there it rippled outward through a vast ocean of time and space to reach Jason’s transport pod, nudging him off-course by a hundredths of a degree. A mere hundredth—but, by arrival, it will have been the difference between orbiting Elpis and missing it by a lightyear. Such was the delicate precision of starlines.

“Can’t we correct our trajectory?” His voice was trembling.

“This first-generation pod does not possess propulsion.”

“Right.” He laughed mirthlessly. “Of course.” Unable to afford the modern starlines, he sent Thalia and her mother first and stayed behind until he saved enough to take the cheapest first-generation starline to join them. He imagined them standing together under Elpis’ twin stars, counting down the days to his arrival.

“I’m sorry, Jason.” ALYS murmured. “I’ve run thousands of simulations, there is close to zero probability of rescue. Our communications will not reach them in time.”

“You… can’t do anything? Why did you even wake me up, then, ALYS?” He spat the words out bitterly.

ALYS paused again.

“As far as I have data and the ability to predict, after today, we will continue on our new trajectory indefinitely. But, in three months, the power will run out which will bring you out of cryostasis. I won’t be there then, I will have already shut down. I decided the best course of action was to wake you now, that… at the least you would not be alone.”

He nodded slowly. Then, he crawled over to gaze past the circular viewport; beyond it, a beautiful, endless field of stars taunted him. For what reason had they condemned him to die?

He began to weep, muffled at first, then full-chested, shuddering wailing.

The guttural cries bounced back and forth in the cramped vessel, but did not escape it. Beyond the inch of carbon-glass, desolation lay silent.

And all around him, the stars wheeled on, indifferent and eternal, as the solitary vessel continued hurtling into the night.

reddit.com
u/vandersenn — 12 days ago
▲ 4 r/flashfiction+1 crossposts

Elpis Bound

Blink.

Soft blue light danced on airbrushed metal inches from his face.

Mist spread over the glass as the cryochamber slowly reheated.

“Welcome back,” a silvery voice tinkled gently. “You’ve been asleep for two weeks.”

As the pod’s curved ceiling came into focus, he remembered. “Two? But Elpis is–”

“Four weeks away. Yes.” A pause. “Jason, something unexpected occurred this morning.”

It came from a remote pocket of deep space millions of light-years away, where two ancient neutron stars collided and sealed his fate. It was a gravitational wave, hidden within the mathematical models and path computations, unseen by even the planetary supercomputer that plotted the starline flights.

From there it rippled outward through a vast ocean of time and space to reach Jason’s transport pod, nudging him off-course by a hundredths of a degree. A mere hundredth—but, by arrival, it will have been the difference between orbiting Elpis and missing it by a lightyear. Such was the delicate precision of starlines.

“Can’t we correct our trajectory?” His voice was trembling.

“This first-generation pod does not possess propulsion.”

“Right.” He laughed mirthlessly. “Of course.” Unable to afford the modern starlines, he sent Thalia and her mother first and stayed behind until he saved enough to take the cheapest first-generation starline to join them. He imagined them standing together under Elpis’ twin stars, counting down the days to his arrival.

“I’m sorry, Jason.” ALYS murmured. “I’ve run thousands of simulations, there is close to zero probability of rescue. Our communications will not reach them in time.”

“You… can’t do anything? Why did you even wake me up, then, ALYS?” He spat the words out bitterly.

ALYS paused again.

“As far as I have data and the ability to predict, after today, we will continue on our new trajectory indefinitely. But, in three months, the power will run out which will bring you out of cryostasis. I won’t be there then, I will have already shut down. I decided the best course of action was to wake you now, that… at the least you would not be alone.”

He nodded slowly. Then, he crawled over to gaze past the circular viewport; beyond it, a beautiful, endless field of stars taunted him. For what reason had they condemned him to die?

He began to weep, muffled at first, then full-chested, shuddering wailing.

The guttural cries bounced back and forth in the cramped vessel, but did not escape it. Beyond the inch of carbon-glass, desolation lay silent.

And all around him, the stars wheeled on, indifferent and eternal, as the solitary vessel continued hurtling into the night.

more by me here https://blog.evan.hu/p/elpis-bound :)

u/vandersenn — 12 days ago

How OpenAI Dreaming V3 works (+ every other agent Memory Framework [N]

Today OpenAI just released ChatGPT Dreaming V3, a total revamp of their memory system that is much faster and more accurate.

TL;DR

"Dreaming" is an asynchronous background process that synthesizes a single, coherent "memory state" for each user out of their raw sources (past chats, files, connected apps), instead of maintaining a hand-curated list of saved facts. The synthesis is continually re-run, which is how it stays fresh, reconciles contradictions, and re-dates stale facts as time passes. At chat time, ChatGPT injects the relevant slice of that synthesis and does fast on-demand search over past chats, gated by a "is personalization useful here?" decision and surfaced with per-source provenance.

Memory is a derived, regenerable artifact over the raw sources — not the source of truth itself. That one design choice explains nearly everything else (the staleness fixes, the "delete it everywhere" rule, the editable-but-not-authoritative summary).

Memory systems now cluster into 3 fundamentally different philosophies

These are memory as stored objects, memory as compressed hierarchy, and memory as ongoing synthesis over raw sources.

The last category contains only two frameworks: Karpathy knowledge bases and OpenAI Dreaming.

In the rest of my post I breakdown how each of the open source memory frameworks are designed and how they compare to ChatGPT Dreaming

  • Knowledge Bases
  • mem0
  • supermemory
  • Zep
  • Letta
  • Mastra
  • MemoryOS
  • A-MEM
  • LangMem
  • Memobase

If this was useful please see the full post here, free to read:

https://x.com/vanders3nn/status/2063000583712522669

reddit.com
u/vandersenn — 3 months ago
▲ 1 r/LLM

How OpenAI Dreaming V3 works (+ every other agent Memory Framework [N]

Today OpenAI just released ChatGPT Dreaming V3, a total revamp of their memory system that is much faster and more accurate.

TL;DR

"Dreaming" is an asynchronous background process that synthesizes a single, coherent "memory state" for each user out of their raw sources (past chats, files, connected apps), instead of maintaining a hand-curated list of saved facts. The synthesis is continually re-run, which is how it stays fresh, reconciles contradictions, and re-dates stale facts as time passes. At chat time, ChatGPT injects the relevant slice of that synthesis and does fast on-demand search over past chats, gated by a "is personalization useful here?" decision and surfaced with per-source provenance.

Memory is a derived, regenerable artifact over the raw sources — not the source of truth itself. That one design choice explains nearly everything else (the staleness fixes, the "delete it everywhere" rule, the editable-but-not-authoritative summary).

Memory systems now cluster into 3 fundamentally different philosophies

These are memory as stored objects, memory as compressed hierarchy, and memory as ongoing synthesis over raw sources.

The last category contains only two frameworks: Karpathy knowledge bases and OpenAI Dreaming.

In the rest of my post I breakdown how each of the open source memory frameworks are designed and how they compare to ChatGPT Dreaming

  • Knowledge Bases
  • mem0
  • supermemory
  • Zep
  • Letta
  • Mastra
  • MemoryOS
  • A-MEM
  • LangMem
  • Memobase

If you want feel free to read the rest of it here:

https://x.com/vanders3nn/status/2063000583712522669

reddit.com
u/vandersenn — 3 months ago

How ChatGPT Dreaming V3 works (+ every other agent Memory Framework)

Today OpenAI just released ChatGPT Dreaming V3, a total revamp of their memory system that is much faster and more accurate.

TL;DR

"Dreaming" is an asynchronous background process that synthesizes a single, coherent "memory state" for each user out of their raw sources (past chats, files, connected apps), instead of maintaining a hand-curated list of saved facts. The synthesis is continually re-run, which is how it stays fresh, reconciles contradictions, and re-dates stale facts as time passes. At chat time, ChatGPT injects the relevant slice of that synthesis and does fast on-demand search over past chats, gated by a "is personalization useful here?" decision and surfaced with per-source provenance.

Memory is a derived, regenerable artifact over the raw sources — not the source of truth itself. That one design choice explains nearly everything else (the staleness fixes, the "delete it everywhere" rule, the editable-but-not-authoritative summary).

Memory systems now cluster into 3 fundamentally different philosophies

These are memory as stored objects, memory as compressed hierarchy, and memory as ongoing synthesis over raw sources.

The last category contains only two frameworks: Karpathy knowledge bases and OpenAI Dreaming.

In the rest of my post I breakdown how each of the open source memory frameworks are designed and how they compare to ChatGPT Dreaming

  • Knowledge Bases
  • mem0
  • supermemory
  • Zep
  • Letta
  • Mastra
  • MemoryOS
  • A-MEM
  • LangMem
  • Memobase

If this was useful please see the full post here, free to read:

https://x.com/vanders3nn/status/2063000583712522669

reddit.com
u/vandersenn — 3 months ago

How ChatGPT Dreaming V3 works (+ every other agent Memory Framework)

Today OpenAI just released ChatGPT Dreaming V3, a total revamp of their memory system that is much faster and more accurate.

TL;DR

"Dreaming" is an asynchronous background process that synthesizes a single, coherent "memory state" for each user out of their raw sources (past chats, files, connected apps), instead of maintaining a hand-curated list of saved facts. The synthesis is continually re-run, which is how it stays fresh, reconciles contradictions, and re-dates stale facts as time passes. At chat time, ChatGPT injects the relevant slice of that synthesis and does fast on-demand search over past chats, gated by a "is personalization useful here?" decision and surfaced with per-source provenance.

Memory is a derived, regenerable artifact over the raw sources — not the source of truth itself. That one design choice explains nearly everything else (the staleness fixes, the "delete it everywhere" rule, the editable-but-not-authoritative summary).

Memory systems now cluster into 3 fundamentally different philosophies

These are memory as stored objects, memory as compressed hierarchy, and memory as ongoing synthesis over raw sources.

The last category contains only two frameworks: Karpathy knowledge bases and OpenAI Dreaming.

In the rest of my post I breakdown how each of the open source memory frameworks are designed and how they compare to ChatGPT Dreaming

  • Knowledge Bases
  • mem0
  • supermemory
  • Zep
  • Letta
  • Mastra
  • MemoryOS
  • A-MEM
  • LangMem
  • Memobase

If this was useful please see the full post here, free to read:

https://x.com/vanders3nn/status/2063000583712522669

reddit.com
u/vandersenn — 3 months ago

How ChatGPT Dreaming V3 works (+ every other agent Memory Framework)

TL;DR

"Dreaming" is an asynchronous background process that synthesizes a single, coherent "memory state" for each user out of their raw sources (past chats, files, connected apps), instead of maintaining a hand-curated list of saved facts. The synthesis is continually re-run, which is how it stays fresh, reconciles contradictions, and re-dates stale facts as time passes. At chat time, ChatGPT injects the relevant slice of that synthesis and does fast on-demand search over past chats, gated by a "is personalization useful here?" decision and surfaced with per-source provenance.

The single most important architectural fact, stated plainly in the FAQ:

>"ChatGPT's memory is based on a continually updated synthesis of context from your past chats, which may be broader than what can be shown as individual items in a summary."

Memory is a derived, regenerable artifact over the raw sources — not the source of truth itself. That one design choice explains nearly everything else (the staleness fixes, the "delete it everywhere" rule, the editable-but-not-authoritative summary).

Memory systems now cluster into 3 fundamentally different philosophies

These are memory as stored objects, memory as compressed hierarchy, and memory as ongoing synthesis over raw sources.

The last category contains only two frameworks: Karpathy knowledge bases and OpenAI Dreaming.

In the rest of my post I breakdown how each of the open source memory frameworks are designed and how they compare to ChatGPT Dreaming

  • Knowledge Bases
  • mem0
  • supermemory
  • Zep
  • Letta
  • Mastra
  • MemoryOS
  • A-MEM
  • LangMem
  • Memobase

The link is in the comments, to be transparent this is to help support my original post by getting it some views, I hope this was helpful and check out the original post if you want to know more

reddit.com
u/vandersenn — 3 months ago
▲ 16 r/AIPersonalAssistant+2 crossposts

I tried every single personal AI assistant for months and realized they all lack one thing

I've been working with AI agents for a long time, back in 2023 I built talk2arxiv, an open source RAG application that let users talk to research papers and it got pretty popular

Since then I've tried basically every personal AI agent I could get my hands on: OpenClaw, Tomo, Poke, Lindy, Noah, ChatGPT Pulse, Claude Cowork, Gemini Spark, and a bunch of others.

I wanted one thing from them: connect to my email, calendar, notes, and documents, then proactively help me run my life, remind me about things I forget, notice patterns, checkin when something seems important.

Basically act more like an executive assistant than a chatbot

None of them really did, they're very capable but they just need you to tell them what to do. To me the whole point of an assistant is that it notices things before you do.

So 2 months ago I started building one for myself. I modeled it after Donna from Suits: highly proactive, deeply personalized, and constantly paying attention in the background.

I think it's gotten quite good and I rely on it every day, so now I'm looking for 10–20 people who feel the same frustration with current AI assistants and are willing to test it and give brutally honest feedback

reddit.com
u/vandersenn — 3 months ago

I realized why everyone I know hates Todoist

Hot take I think most productivity tools are made for unproductive people who obsess over input

Productive people care about output and aren't waking up excited to tag tasks, maintain Notion databases, or review weekly systems, they're texting themselves “cancel trial” and hoping they see the unread blue dot later, because they prioritize work over meta work

The most productive people in my life all have an eerily similar story where they tried Todoist and a bunch of other traditional productivity apps, and gave up on all of them. Now they just have a page in Notes and throw stuff on their calendar, basically all of them just converged on "the simplest possible thing that just works (but barely)"

Do you all agree or disagree? Curious to hear opposing views

reddit.com
u/vandersenn — 3 months ago

Is there an actually proactive AI assistant out there?

Im not talking about assistants like Poke that monitor your email and message you when you get "important mail"

I mean like an assistant that is curious and ask you questions when it doesn't know something, or checks in on how you're doing, or goes off and researches gift options for your friend's birthday instead of just sending you a reminder when its on your calendar

It feels like all the AI assistants from chatgpt to openclaw right now are still just "tools" that wait for you tell it what to do.

if you know one youre actually using and its proactive and useful, drop the link pls

Edit: someone commented one but the comment is gone now, I tried it and it's actually texting me on its own which is really cool https://www.withdel.com/

reddit.com
u/vandersenn — 3 months ago

Proactive AI is the next frontier

General, always-on, fully autonomous personal agents are still immature. We do not yet have proactive AI.

From what I see, current generation of AI assistants are either:

  1. cautious general-purpose copilots from large platforms like ChatGPT or Google Gemini

  2. narrow workflow automations like scheduling and inbox triage from startups like Noah or Lindy.

Nobody has yet built the deeply personalized, long-horizon AI assistant that deeply learns who you are and what you care about, so it can proactively take action like a real human does.

Think of your friend sending you an article he thinks you might like, or a top employee who takes initiative to build out something which becomes highly valuable to the company.

We are at our best when we are proactive, think of solutions, and take a chance to pursue them. AI personal assistants of the future will be the same way.

Current reactive AI assistants that requires us to identify problems, write prompts, oversee the solution. For the individual person, the point of AI assistants should be to free us to do more of what we want to.

anyway, these are some of the ideas I've been thinking through for the past year.

I'm trying to build the first truly proactive personal assistant, and I'm looking for people to try it and give feedback. If you'd like to try it I'll leave a comment with a link!

reddit.com
u/vandersenn — 3 months ago