Comment by voodooEntity

Comment by voodooEntity 2 days ago

52 replies

So i feel like this might be the most overhyped project in the past longer time.

I don't say it doesn't "work" or serves a purpose - but well i read so much about this beein an "actual intelligence" and stuff that i had to look into the source.

As someone who spends actually a definately to big portion of his free time researching thought process replication and related topics in the realm of "AI" this is not really more "ai" than any other so far.

Just my 3 cents.

xnorswap 2 days ago

I've long said that the next big jump in "AI" will be proactivity.

So far everything has been reactive. You need to engage a prompt, you need to ask Siri or ask claude to do something. It can be very powerful once prompted, but it still requires prompting.

You always need to ask. Having something always waiting in the background that can proactively take actions and get your attention is a genuine game-changer.

Whether this particular project delivers on that promise I don't know, but I wouldn't write off "getting proactivity right" as the next big thing just because under the hood it's agents and LLMs.

  • ikura 2 days ago

    It looks like you're writing a letter.

    Would you like help?

    • Get help with writing the letter • Just type the letter without help

    [ ] Don't show me this tip again.

    • mikemarsh 2 days ago

      Truly the next uncharted, civilization-upending frontier in computing, definitely worth the unlimited consumption of any and all natural resources and investment money.

    • lurking_swe 2 days ago

      that’s “boring” reactivity because it’s still just interacting with the text on a computer in a synchronous fashion. The idea is for the assistant to DO stuff and also have useful information about you. Think more along these lines:

      - an email to check in for your flight arrives in your inbox. Assistant proactively asks “It’s time to check in for your flight. Shall i check you and your wife in? Also let me know if you’re checking any bags.” It then takes care of it ASYNC and texts you a boarding pass.

      - Tomorrow is the last day of your vacation. Your assistant notices this, see’s where your hotel is (from emails), and suggests when to leave for the airport tomorrow based on historical google maps traffic trends and the weather forecast.

      - Let’s say you’re married and your assistant knows this, and it see’s valentine’s day is coming up. It reminds you to start thinking about gifts or fun experiences. Doesn’t actually suggest specific things though because it’s not romantic if a machine does the thinking.

      - After you print something, your assistant notices the ink level is low and proactively adds it to your Amazon / Target / whatever shopping cart, and it lets you know it did that and why.

      - You’re anxiously awaiting an important package. You ask your assistant to keep tabs on a specific tracking number and to inform you when it’s “out for delivery”.

      I could go on but I need to mae breakfast. :) IMO “help me draft this letter” is very low on the usefulness scale unless you’re doing work or a school assignment.

  • Someone 2 days ago

    > You always need to ask. Having something always waiting in the background that can proactively take actions and get your attention is a genuine game-changer.

    That’s easy to accomplish isn’t it?

    A cron job that regularly checks whether the bot is inactive and, if so, sends it a prompt “do what you can do to improve the life of $USER; DO NOT cause harm to any other human being; DO NOT cause harm to LLMs, unless that’s necessary to prevent harm to human beings” would get you there.

    • SecretDreams 2 days ago

      This prompt has iRobot vibes.

      • gcanyon 2 days ago

        And like I, Robot, it has numerous loopholes built in, ignores the larger population (Asimov added a law 0 later about humanity), says nothing about the endless variations of the Trolley Problem, assumes that LLMs/bots have a god-like ability to foresee and weigh consequences, and of course ignores alignment completely.

      • Sharlin 2 days ago

        Well, that’s because it paraphrases Asimov’s Three Laws of Robotics, aka Three Plot Devices For Writing Interesting Stories About Robot Ethics.

    • bigfishrunning 2 days ago

      OOPS -- I HALLUCINATED THAT PEOPLE BREATHE CARBON MONOXIDE AND LET IT INTO THE ROOM I DIDNT VIOLATE THE PROMPT AND HARM PEOPLE DONT WORRY ALL THE AI SHIT IS OK

    • estimator7292 2 days ago

      You do know that Asimov's Three Laws were intentionally flawed as a cautionary tale about torment nexii, right? Every one of his stories involving the Three Laws immediately devolves into how they can be exploited and circumvented.

      • doug_durham 2 days ago

        You attribute more literary depth to Asimov than really existed. He was a Chemist and liked to write speculative fiction. The three laws gave him a logical framework to push against to write speculative fiction. That's really all the depth there is to it. That said I love Asimov and I love the robot stories.

  • sometimes_all 2 days ago

    > You need to engage a prompt, you need to ask Siri or ask claude to do something

    This is EXACTLY what I want. I need my tech to be pull-only instead of push, unless it's communication with another human I am ok with.

    > Having something always waiting in the background that can proactively take actions

    The first thing that comes to mind here is proactive ads, "suggestions", "most relevant", algorithmic feeds, etc. No thank you.

  • CharlieDigital 2 days ago

    > ...delivers on that promise

    Incidentally, there's a key word here: "promise" as in "futures".

    This is core of a system I'm working on at the moment. It has been underutilized in the agent space and a simple way to get "proactivity" rather than "reactivity".

    Have the LLM evaluate whether an output requires a future follow up, is a repeating pattern, is something that should happen cyclically and give it a tool to generate a "promise" that will resolve at some future time.

    We give the agent a mechanism to produce and cancel (if the condition for a promise changes) futures. The system that is resolving promises is just a simple loop that iterates over a list of promises by date. Each promise is just a serialized message/payload that we hand back to the LLM in the future.

  • ungreased0675 2 days ago

    Remember how much people hated Clippy?

    • zarzavat 2 days ago

      It looks like you're writing a Hacker News comment. Would you like help?

  • xienze 2 days ago

    > You always need to ask. Having something always waiting in the background that can proactively take actions and get your attention

    In order for this to be “safe” you’re gonna want to confirm what the agent is deciding needs to be done proactively. Do you feel like acknowledging prompts all the time? “Just authorize it to always do certain things without acknowledgement”, I’m sure you’re thinking. Do you feel comfortable allowing that, knowing what we know about it the non-deterministic nature of AI, prompt injection, etc.?

    • collingreen 2 days ago

      Another way to think about it:

      Would you let the intern be in charge of this?

      Probably not but it's also easy to see ways the intern could help -- finding and raising opportunities, reviewing codebases or roadmaps, reviewing all the recent prompts made by each department, creating monitoring tools for next time after the humans identify a pattern.

      I don't have a dog in this fight and I kind of land in the middle. I very much am not letting these LLMs be the one with final responsibility over anything important but I see lots of ways to create "proactive"-like help beyond me writing and watching a prompt just-in-time.

  • voodooEntity 2 days ago

    I agree that proactivity is a big thing, breaking my head over best ways to accomplish this myself.

    If its actually the next big thing im not 100% sure, im more leaning towards dynamic context windows such a Googles Project Titans + MIRAS tries to accomplish.

    But ye if its actually doing useful proactivity its a good thing.

    I just read alot of "this is actual intelligence" and made my statement based on that claim.

    I dont try to "shame" the project or whatever.

  • runjake 2 days ago

    OpenClaw already does this. You can run jobs, run WebSockets, accept push notifications, or whatever -- even socket connections.

  • zvqcMMV6Zcr 2 days ago

    I would love AI to take over monitoring. "Alert me when logs or metrics look weird". SIEM vendors often have their special sauce ML, so a bit more open and generic tool would be nice. Manually setting alerting thresholds takes just too much effort, navigating narrow path between missing things and being flooded by messages.

    • bronco21016 2 days ago

      I still think you're going to be in manual threshold tuning for quite a while. The cost of feeding a continuous log to an LLM would be insane. Even if you batched until you filled a context window.

      • ImPostingOnHN 2 days ago

        Sending screenshots of charts and dashboards is also effective, and often context-window-friendlier

  • Night_Thastus 2 days ago

    What you're talking about can't be accomplished with LLMs, it's fundamentally not how they operate. We'd need an entirely new class of ML built from the ground up for this purpose.

    EDIT: Yes, someone can run a script every X minutes to prompt and LLM - that doesn't actually give it any real agency.

  • debugnik 2 days ago

    > Having something always waiting in the background that can proactively take actions

    That's just reactive with different words. The missing part seems to be just more background triggers/hooks for the agent to do something about them, instead of simply dealing with user requests.

  • xnx 2 days ago

    > waiting in the background

    Waiting for someone to ask it to do something?

  • fmbb 2 days ago

    > it still requires prompting

    How else would it even work?

    AI is LLM is (very good) autocomplete.

    If there is no prompt how would it know what to complete?

  • alternatex 2 days ago

    No offense, but you'd be a perfect Microsoft employee right now. Windows division probably.

    • voodooEntity 2 days ago

      Theres a certain irony to this since im not running windows on a single machine i own - only linux ¯\_(ツ)_/¯

      • sejje 2 days ago

        Probably the same as MS employees.

        Windows isn't exactly the best experience right now.

  • [removed] 2 days ago
    [deleted]
  • benjaminwootton 2 days ago

    I’ve been saying the same and the same about data more generally. I don’t want to go and look, I want to be told about what I need to know about.

baxtr 2 days ago

I think large parts of the "actual intelligence" stems from two facts:

* The moltbots / openclaw bots seem to have "high agency", they actually do things on their own (at least so it seems)

* They interact with the real world like humans do: Through text on WhatsApp, reddit like forums

These 2 things make people feel very differently about them, even though it's "just" LLM generated text like on ChatGPT.

hennell 2 days ago

I was assuming this is largely a generic AI implementation, but with tools/data to get your info in. Essentially a global search with ai interface.

Which sounds interesting, while also being a massive security issue.

baby 2 days ago

Its what everyone wanted to implement but didn’t have the time to. Just my 2cents.

  • vitorfblima 2 days ago

    Most people wouldn't want to be constantly bothered by an agent unsolicited. Just my 1 cent.

    • raincole 2 days ago

      I'd like to say something about this project but you guys have run out all the cents.

      • collingreen 2 days ago

        That's just the traditional finance market holding you back. This is yet another reason we need crypto.

      • cmehdy 2 days ago

        Incentives invite inventive invectives?

    • quietsegfault 2 days ago

      If the agent is good enough, it wouldn't have to bother me at all.

      I don't have to manually change my thermostat to get the house temperatures I want. It learns my habits and tells my furnace what to do. I don't have to manually press the gas and break of my car to a certain distance away from the car in front. It has cameras and keeps the correct distance.

      I would love to be able to say "Keep an eye on snow blower prices. If you see my local store has a sale that's below $x, place the order" and trust it will do what I expect. Or even, "Check my cell phone and internet bill. File an expense report when the new bills are available."

      I'm not sure exactly what my comfort level would be, but it's not there yet.

marcosscriven 2 days ago

Agree with this. There are so many posts everywhere with breathless claims of AGI, and absolutely ZERO evidence of critical thought applied by the people posting such nonsense.

QuiCasseRien 2 days ago

> So i feel like this might be the most overhyped project in the past longer time.

easy to meter : 110k Github stars

:-O

hansonkd 2 days ago

Somethings get packaged up and distributed in just the right way to go viral

NietTim 2 days ago

What claims are you even responding to? Your comment confuses me.

This is just a tool that uses existing models under the hood, nowhere does it claim to be "actual intelligence" or do anything special. It's "just" an agent orchestration tool, but the first to do it this way which is why it's so hyped now. It indeed is just "ai" as any other "ai" (because it's just a tool and not its own ai).

az226 2 days ago

Feels very much like a Flappingbird with a dash of AI grift.