11 ms·

What it feels like to work with Mythos

• root_axis 4mo ago
  I just can't stand this type of fawning language.
• asdK120 4mo ago
  Mollick runs the Generative AI Lab at Wharton, with all the corporate sponsors. He is a professor but sadly also an AI shill. He should switch to advertising washing power.
  • MostlyStable 4mo ago
    So...no engagement with the substance? Not even to explain why it is that this is not a useful description or test of capabilities? Ok.
    • dthread3 4mo ago
      I would like to see it do something useful, like converting pytorch to golang.
      • fdsdfsdfzxczxc 4mo ago
        This newfangled car thing is useless. It can't even properly shoe a horse.
      • lijok 4mo ago
        Hot damn - is that the floor of what you consider useful?
      • cadamsdotcom 4mo ago
        Why not get a plan from Anthropic and get that done yourself? Probably is going to cost you as much as a coffee.
      • Philpax 4mo ago
        Will you accept a port of Torch to Rust? https://github.com/forecast-bio/ferrotorch https://github.com/forecast-bio/ferrotorch
  • whyenot 4mo ago
    Instead of attacking the author, please respond to the content of the article. That is the HN way, and it leads to more substantive and interesting discussions.
  • CuriouslyC 4mo ago
    Ethan is a booster but I wouldn't call him a shill. He cites data and mostly in a fair way, though you could argue the sources he chooses to focus on are biased.
• et-al 4mo ago
  [flagged]
  • 0x1ceb00da 4mo ago
    "I don't care who the IRS sends I am not paying taxes!"
  • astrange 4mo ago
    It is not a sponsored article and he writes one of these every time a new model releases. Why would a professor at Wharton need to write sponsored Substack articles.
• 382hi 4mo ago
  I think Qwen 3.7-Plus is better at reasoning than Mythos, and I've used both for quite a while.
  • giancarlostoro 4mo ago
    Would love to see samples of the kinds of prompts you use with both. I sometimes wonder if the specific wording is the secret sauce, I have very few issues with Opus / Claude, but when I try premier GPT models, I get weird output from what I've grown to expect with Claude.
• the_doctah 4mo ago
  More Mythos Marketing.
  • boringg 4mo ago
    The mythos of Mythos is marketing.
  • deleted 4mo ago
    [deleted]
• gopalv 4mo ago
  > It worked for nine and a half hours. > Again, it wasn’t perfect. As an expert, I was able to spot some errors and omissions (some as a result of the design I had asked for) that I had the AI correct That's the bit that stuck out to me - that's longer than I would expect to work on a problem in a day or even expect to go back & fix the output of something that has a core reward loop of hours. My customers are currently clamoring to push down my agent response times from 85 seconds down to below the 20s mark. At the same time, it is very dissonant to see the industry heading towards hour+ long workflows with an agent.
  • matneyx 4mo ago
    In Claude's defense (and I cannot believe I'm defending it), I know no single dev who could create what it did (Concord), from a 19-page design document, in 9.5 working hours. We're gonna go back to the days where our bosses ask why we're just sitting around, but instead of saying "compiling," we'll just say, "waiting for Claude."
    • neogodless 4mo ago
      For the rare uninitiated: https://xkcd.com/303/ https://xkcd.com/303/
    • giancarlostoro 4mo ago
      This. I get told things like "you can't build all that on your own?" I've had Claude poop out full feature web apps in under 30 minutes, to a spec. Was it perfect? No, but sometimes even in a simple setup phase you can burn 15 minutes to some obscure setup step that's failing. I cannot just code nonstop at 900WPM or whatever ridiculous speed, and poop out an entire full feature web app, with maybe a few bugs here or there. If you can, come show me, I'll gladly have you race against my Claude prompting capabilities. Will Claude's code be perfect in one shot? Probably not, will it get you 80 to 90% of the way there with your chosen design patterns in under a few hours? Absolutely.
      • toss1 4mo ago
• recursivedoubts 4mo ago
  would it be possible for mythos to make the space bar scroll the pages on your website properly?
  • mulr00ney 4mo ago
    Seems to be hijacked the video of some game they generated. :(
    • albedoa 4mo ago
      If you delete the video from the DOM, then click back into the content area, it reattaches the video lol.
• JumpCrisscross 4mo ago
  Anecdote: I fed Fable some models I’ve been hand verifying (basically, I sketch out a scenario for Opus to model, it builds it, I ask it to show me the math, I correct it, we iterate like this, then I double check its code to make sure the math matches the model logic). Fable found almost every error I found, and then had some interesting suggestions for additional variables. It also burned through my usage quota like a late-90s Hummer.
  • cyanydeez 4mo ago
    now for the best question: whats your ROI here?
    • PunchyHamster 4mo ago
      It will be great when the price of compute/memory drops to normal level!
      • cyanydeez 4mo ago
        >Sam Altman has signed another Memoranda of Understanding: Buying all SDRAM till the heat death of the universe OR Musk relocates to mars.
    • Qhemlomo 4mo ago
      It just got released, it shouldn't matter. We know this model will be cheaper and faster with time. And we have not even reached the timespan/timeframe were we have ASIC style models. OpenAI has to do something which will beat Fable otherwise Anthropic won. China currently overtakes cars, pv, batteries and very soon silicon chip making, it has all the incentive to also take over AI.
      • camillomiller 4mo ago
        [flagged]
        • 4mo ago
• theturtletalks 4mo ago
  This is what he built: https://isochronic-passage-chart.netlify.app/ https://isochronic-passage-chart.netlify.app/ Doesn’t work too well on mobile but looks interesting
  • skipants 4mo ago
    It looks interesting but, like a lot of AI, looks correct but is not. Most of northwestern Canada says you can get there by road. If you look at Google Maps, there's no roads there for quite awhile. I see one highway between Inuvik and Tuktoyaktuk but that's about it.
    • neom 4mo ago
      Reminds me of a fun story. Some 20 years ago when I moved from Fort Frances to Toronto for college, my high school best friend was also going to college in Toronto, and his dad offered to drive us together in his truck with all our stuff in the back. We were saying our goodbyes and my buddies dad said to my dad "We'll get there a lot faster, I found a shortcut!" My dad, confused says "shortcut? there is no shortcut, just highway 1..." and his dad insists he found an alternative route, much shorter by kms and we'll fly up there 6 hours faster! Get into the truck and he pulls out 5 pages of printed mapquest... I assure you, having done it, Sault Ste. Marie to Sudbury via Elliot Lake on logging roads, may look interesting, but not correct, added a good 8 hours to the trip.
  • jampa 4mo ago
    It is hallucinating many flights in my region, some that never existed (so it is not an outdated data problem). I also see some logic flaws. It overlooks the option of going to a major hub to access faster aircraft, rather than hopping on local hubs. Also, immigration and customs are cleared at the first airport you arrive at in the country, not at the last one. In some countries, you need to clear immigration even while going to a third country, so 1 hour is not enough to do it.
  • ImaCake 4mo ago
    It's fun and it looks good regardless of whether its 100% correct (It would certainly take me more than 9 hours of work to do better than this). Making these bespoke tools possible for most people is a big deal.
• selfawareMammal 4mo ago
  What are people working on that they see such a substantial difference between Mythos and Opus? I'd say I'm working with advanced stuff and more than often Deepseek is even more than enough. Why is everybody a genius in here?
  • mervz 4mo ago
    We see the same thing when new laptops are announced and every employee all of a sudden needs to upgrade, despite the fact that 90% of people would be able to make do with a Macbook Neo.
    • Our_Benefactors 4mo ago
      > despite the fact that 90% of people would be able to make do with a Macbook Neo. Myth. Total myth! I recently had to beg for more RAM after continually hitting swap space which causes tools like dictation to stop working, failure to load certain websites without rebooting, and so on. Devs do in fact need powerful machines and the ~$500-1000 an employer saves upfront in machine costs is dwarfed by productivity losses. Giving your engineering employees new machines in a 2-year cycle that are between the middle and high end is one of the cheapest ROI decisions that a tech org can make.
      • oarsinsync 4mo ago
        Surely devs could just uninstall Slack, and get the same combined RAM & productivity boost?
        • justinclift 4mo ago
          s/Slack/Teams/ ;)
  • deleted 4mo ago
    [deleted]
  • ianm218 4mo ago
    I’ve been working on implementing some common web infra type projects in Rust lately. Basically trying to use a lot of the great primatives in Rust like rustls (modern openSSL) and Tokio (async) to build memory safe or close, nginx drop in replacements. A small portion of this effort is having a high quality Lua in Rust repo. I’m using mythos to fix some of the performance issues with my Lua interpreter that gpt 5.5/ opus 4.8 had stone walled on. Not sure if Mythos will be able to crack this but it has been running for a couple hours now with some promising results. Performance charts linked here if your curious https://github.com/ianm199/lua-rs https://github.com/ianm199/lua-rs
• thepasch 4mo ago
  What it feels like to work with Fable: > Switched to Opus 4.8: Fable 5 has safety measures that flag messages on most cybersecurity or biology topics. They may flag safe, normal content as well. These measures let us bring you Mythos-level capability in other areas sooner, and we're working to refine them. Send feedback or learn more.
  • matheusmoreira 4mo ago
    Same experience here. The parts of my project that actually could have benefited from Fable's code review got this instead.
• eithed 4mo ago
  What I find fascinating that there is so little substance in this article about the quality of produced code and the medium. Is the code documented and tested? Is it understandable and extendable? Is it secure? What language, framework, database was used? Author mentions judgement and taste - well, is the code tasteful? Will the model rearchitecture the entire thing if I ask it to add new functionality, spending another 9.5h in tokens? I assume that the research part is domain knowledge = how different types of travel translate to time making it presentable; how did the author verify this? These questions are even not about AI: if I were to give money to a human agency and were given something they tell me works, I would ask the same questions. If I did not know how to evaluate, I would hire people that do. With LLMs the verification part is what bothers me the most.
  • hypfer 4mo ago
    Being the first to release an article gives you great SEO or whatever. Doing the things you've mentioned takes time.
  • jstummbillig 4mo ago
    Less fascinating when you consider that this is a non-coders perspective.
    • eithed 4mo ago
      Fair enough, but enterpreunership should, I guess, ask questions if given Next Big Thing has substance behind it or is it just snake oil.
      • munk-a 4mo ago
        Ah, but billions of dollars depend on those questions not being asked in a genuine manner. Don't you want a slice of that or are you an... AI skeptic thunder clashes.
    • nomel 4mo ago
      So, the perspective of the one that gains the most, that will value this the most, and that will pay the most? ;)
• zuzululu 4mo ago
  > First, how good is Fable? In experiment after experiment I conducted, it outperformed basically every other public model I have used by a considerable margin. What makes me excited is that GPT 5.6 (its actually GPT 6) is going to be crazy
• mohsen1 4mo ago
  I have been using it for less than an hour so take this with a grain of salt of being excited for the new tech. In a project like mine (https://github.com/tsz-org/tsz https://github.com/tsz-org/tsz) I am constantly frustrated that models were not doing enough research and were not taking into account other situations. Again and again models would produce code that would fix one thing and break 2 other tests that were "unrelated". With Fable it seems like tasks are taking much longer (I have not seen a pull request from Fable sessions yet) but reading the transcription of those sessions I can see how it is doing the right thing by not leaving any stone unturned. As the article says, it's hard to communicate this "feeling" about models because it is very project specific but I thought I share
  • nxmxksisksnssb 4mo ago
    [dead]
  • anematode 4mo ago
    Does this not indicate that the project might not be structured in an appropriate way that allows incrementally adding features?
    • mohsen1 4mo ago
      the setup is solid. there are thousands of tests and CI won't let things to merge if tests are failing. But overall, this is pretty normal for compilers to have this sort of "unexpected" tests failing due to some work in an area. It happened to me when I was coding everything manually back in the day too
      • anematode 4mo ago
        > there are thousands of tests and CI won't let things to merge if tests are failing. That's not what a clean setup means... I mean good separation of concerns, established invariants, etc.
        • mohsen1 4mo ago
• zb3 4mo ago
  Was the condition of being granted early access to this castrated model writing a post praising it?
• Aperocky 4mo ago
  > This is a map that shows the distance you can travel in a given length of time, and the first one was created in 1881 showing travel times from London. The first item on the article, the first thing it showed, was wrong though. It is 100% faster to go from London to New York in 1881 than Volgagrad. Or any of the Russian hinterland colored green or Turkey or Egypt.
  • patcon 4mo ago
    > faster to go from London to New York in 1881 than Volgagrad the map is for 2026, yeah?
    • Aperocky 4mo ago
      yeah the original map was not for this purpose. Though I would say there are heavy assumption made for 2026 too, namely the flights are available immediately upon demand.
• ThejaCH 4mo ago
  What it feels like to work with Mythos? Feels like am poor
• honeycrispy 4mo ago
  Reading it, I can't help but feel he's being paid to write this. Or maybe he hopes to be paid. The language he uses makes him sound like he's fawning over the lost days of his childhood. Pardon me for being skeptical, but a trillion dollar company running a net-loss is hoping to IPO, and needs to sway public opinion by any means necessary. I would imagine that no dirty marketing scheme is off of the table, even from the self-proclaimed "good guys".
• neaden 4mo ago
  Man, that poem it made is terrible. Like just incredibly bad. Sure it's neat that software can make an incredibly bad poem but there is enough bad poetry in the world that we don't need it.
  • layer8 4mo ago
    I wonder what Vogons would think of it.
  • Kiro 4mo ago
    How good can a rhyming poem about a haircut where every word starts with S be?
    • electroweak 4mo ago
      A whole lot better when written by a human, such as Michael Kandel. This was one of the tests of the electrobard in a story from the Cyberiad ("fables for the cybernetic age"). The key point about Samson was his suicide, which despite the obvious isn't mentioned in the six pages of this rubbish. Perhaps guardrails are throttling this corporate "fable"s ability to comment on the human condition. The poem Kandel translated from the original Polish was, for artistic reasons, completely different. I will be impressed when machine translation can duplicate that!
    • endymion-light 4mo ago
      Seduced, shaggy Samson snored. She scissored short. Sorely shorn, Soon shackled slave, Samson sighed. Silently scheming, Sightlessly seeking Some savage, spectacular suicide. - That's the translated Cyberiad Poem the blog post based it off off (or the AI decided to do so)
  • throw310822 4mo ago
    Terrible? Incredibly bad? Something tells me you are not very familiar with poetry, literature or writing in general. This exercise gets its inspiration and tone from one of Stanislaw Lem's Cyberiad short stories ("Trurl's electronic bard"). Besides, what did you expect from a "10 pages epic rhyming poem about a haircut where every word starts with the letter S"? Robert Frost?
• ecocentrik 4mo ago
  Reading the first few paragraphs of what he calls "the most sophisticated academic social science paper I have yet seen from an AI" does not impress as much as I hoped. "Posterior beliefs about market demand are purely referencedependent: holding dollars raised constant, they track only performance relative to the founder’s self-chosen goal—jumping half a standard deviation at the threshold, responding steeply for the first ten points past it, and flattening thereafter" Humans generally don't verbalize data this way. The summary document is also very fluffy.
  • huflungdung 4mo ago
    [dead]
  • deleted 4mo ago
    [deleted]
• olafmol 4mo ago
  This little line from the article scares me: "but a software engineer would iron out the remaining potential bugs that I could not find quickly" Every sw dev knows this is a very dangerous, and unrealistic, assumption.
  • bluegatty 4mo ago
    it's basically a tiny statement that kind of hand waves all the 'actual stuff'.
    • BigJono 4mo ago
      It's "I did the first/easy 90% now someone else do the second/hard 90%". Same as it ever was.
      • bluegatty 4mo ago
        We're not supposed to be crude on HN but that's some real Dilbert level stuff right there. Like spit out my coffee laughing, cringing. It's too bad the Dilbert guy seemed to have lost his mind in meta level cynicism (and maybe his legacy as well) and also passed away, because we kind of need him now. Dilbert is almost made more for the AI age than the computing age.
    • eithed 4mo ago
      https://www.danielzarick.com/uploads/2018-05-draw-the-owl.jpg https://www.danielzarick.com/uploads/2018-05-draw-the-owl.jp...
• mawadev 4mo ago
  Isn't it weird that we started to gauge the quality of a model by checking the vibe of the vibe coding?
  • geraneum 4mo ago
    You can see this all over the place. Under the Fable post in HN, you have simonw talking about the “feel” of working with Fable and how much better it is. If I believed in conspiracies, I’d have said it’s all orchestrated marketing…
    • orangecat 4mo ago
      And yet when there are objective results like "we ported Bun to Rust and 100% of the test suite passes" the response is "so what, the code is obviously crap and has tons of bugs that the tests don't cover".
• younglunaman 4mo ago
  >What it feels like to work with Mythos >Looks Inside >So I did this with fable... What?
  • warkdarrior 4mo ago
    Fable is Mythos with extra guardrails, so the analysis holds.
    • Chu4eeno 4mo ago
      Considering all the initial Mythos hype (before they released Fable) was for things that Mythos explicitly can't do, no, not really.
• catigula 4mo ago
  >Ethan Mollick Just an FYI this guy is an AI hype-beast. Some of his tweets are truly out there.
  • dogmayor 4mo ago
    Huge fanboy for sure
• wxw 4mo ago
  I am… underwhelmed by the artifacts in the post. I don’t see why working longer is a pro. The results don’t seem much better than you’d get from putting Opus in a long loop.
  • warkdarrior 4mo ago
    > The results don’t seem much better than you’d get from putting Opus in a long loop. Care to share the results you got from Opus working on the same prompt? It should be easy to compare quality.
• vb-8448 4mo ago
  Nice, but I'm really curious about how many tokens have been used. There is only one hint: 475k tokens in the screenshot when OP asked the model to fix some behaviour, but it would be fascinating to know the total tokens amount.
• PaulHoule 4mo ago
  My wife likes to say "feelings aren't facts"
• steve1977 4mo ago
  > it is indicative of AI solving a hard problem involving research, math, visual development, taste, judgement, complex coding, and more. Is it a hard problem or is it just labor intensive?
  • warkdarrior 4mo ago
    Depends on the skill of the person working on it.
• mjamesaustin 4mo ago
  The snake game is legit very fun. Once I got the ability to pick up the apples and plant apple trees, I was sold.
• LogicFailsMe 4mo ago
  I'm using Fable this afternoon and it's definitely a step up from Opus 4.8, finding and fixing things Opus 4.8 was blind to even perceiving. The next 13 days are going to be fun IMO. And Opus 4.8 was less annoying than Opus 4.7 FWIW. Edit: A couple hours in and I just got my first gaslighting attempt from the model. Good times!
• pu_pe 4mo ago
  The isochrone maps are quite beautiful [1], and go beyond the scope and refinement of some earlier human attempts I could find [2][3][4]. [1] https://isochronic-passage-chart.netlify.app/ https://isochronic-passage-chart.netlify.app/ [2] https://mapitout.welcome-to-nl.nl/ https://mapitout.welcome-to-nl.nl/ [3] https://commutetimemap.com/ https://commutetimemap.com/ [4] https://andrewding.ca/flightisochrones/ https://andrewding.ca/flightisochrones/
• ComplexSystems 4mo ago
  Who can afford to use this damn thing though? They're pricing everyone out of the market with stuff like this.
• ElijahLynn 4mo ago
  > The work has shifted from process to outcome. I no longer steer; I commission.
• ElijahLynn 4mo ago
  Loved the article! And I'm excited to try it, but also have a fear that I will like it too much and then won't have access to it in 2 weeks... But maybe I will and maybe it will be worth it and I'll just pay a bunch of extra for it and it'll be great! I think the article could be improved by actually sharing more feelings. I clicked on the article for feelings but I didn't see that many feelings described.
• SupremumLimit 4mo ago
  I took a brief look at the code for one of the projects (https://github.com/emollick/concord/ https://github.com/emollick/concord/) he breathlessly praises and says "a software engineer would iron out the remaining potential bugs that I could not find quickly". The code looks like an unmaintainable mess. Other commenters have pointed out that his isochrone map contains a lot of nonsense as well. So the most charitable interpretation here is that this is a case of Gell-Mann amnesia.
• pbgcp2026 4mo ago
  [flagged]
  • HDBaseT 4mo ago
    The model is public and none of the inputs/outputs contained biosecurity or cybersecurity prompts. You can do all of this (and more) on Claude Fable 5, in-fact Fable 5 outperforms Mythos in most tasks (where the guardrails don't kick it at least).
• andrewvu0203 4mo ago
  [flagged]
• philipswood 4mo ago
  > It also created a 10-page epic rhyming poem about a haircut where every word starts with the letter s Wow
• Ameo 4mo ago
  Most depressing thing I've read in weeks, and that's a high bar. Hooray to humanity for creating the thing which has destroyed all the value of of being good at creating things.
• nstart 4mo ago
  Desperate to know what the prompt for the poem is. The idea of it felt familiar so I went down the rabbit hole and found: 14 years ago, a poem on reddit [https://www.reddit.com/r/RedditDayOf/comments/tjjw2/may_12_a_poem_about_a_haircut_but_lofty_noble/ https://www.reddit.com/r/RedditDayOf/comments/tjjw2/may_12_a...] . Nowhere near the length of the one the author shared but the same idea. > This is from "The Cyberiad", a collection of science-fiction fairy tales by Polish author Stanislaw Lem ... In one of the stories, a robot constructor named Trurl creates a machine that writes poetry. A jealous rival named Klapaucian challenges the machine to compose "...a poem about a haircut! But lofty, noble, tragic, timeless, full of love, treachery, retribution, quiet heroism and in the face of certain doom! Six lines, cleverly rhymed, and every word beginning with the letter s!!" And the computer responds with: "Seduced, shaggy Samson snored. She scissored short. Sorely shorn, Soon shackled slave, Samson sighed. Silently scheming, Sightlessly seeking Some savage, spectacular suicide" The author had to be referencing this moment in their challenge to Fable/Mythos. I'm curious to know what their exact prompt was.
  • philipwhiuk 4mo ago
    > the author had to be referencing this moment in their challenge to Fable/Mythos. Or it just swept it up in the training data given Anthropic license Reddit comments.
    • nstart 4mo ago
      Right. But this is why I want to know the prompt. My hunch is that the author knew this story. But likely prompted Fable without hinting at it. And if so, the fact that Fable defaulted to the story of Samson shows that while it can impressively extend that over so many "scrolls", it also could only generate the idea based on what it had gobbled up. I'm thinking of this because given to another human, I doubt they'd only ever go for Samson's story by default.
  • Erwin 4mo ago
    What's fascinating is that this is the difficulty of English translation -- which uses a different start letter and different words than the Polish one: Cyprian cyberotoman, cynik, ceniąc czule Czarnej córy cesarskiej cud ciemnego ciała, Ciągle cytrą czarował. Czerwieniała cała, Cicha, co-dzień czekała, cierpiała, czuwała... ... Cyprian ciotkę całuje, cisnąwszy czarnulę!! You can consider the job of a translator as compared to LLM. Both derivative works, working within some constraints but with room for creativity.
• ath3nd 4mo ago
  [dead]
• xavierforge 4mo ago
  No question the capability jump is real, but in my experience it correlates with shortcut-taking. Fable 5 (and Opus 4.8 before it) hallucinates more than any Claude model I’ve used. The most common failure mode is asking it to modify existing code and watching it skip reading the original file, reconstruct that section from imagination, and then apply edits on top of its own invention, even with full context provided. Maybe my prompts are too vague, but it’s worth noting that every example in the post is a greenfield build, and vague prompting seems to hold up fine when there are no existing constraints to respect.
• aryehof 4mo ago
  [flagged]
• michaelteter 4mo ago
  As a software engineer and solution provider, I do not feel threatened by this. I do not fear that management will get tools like Mythos and then not need people like me. Most of the value I provide is in translating what the management/client _thinks_ they need into what is the real problem and solution. That's not an insult to them, it's just pointing out that they see only their problem, and they imagine what would be the solution. They then ask for that solution. Quite often, what they want built isn't what they need. And I've seen so many problems, from so many domains and scenarios, that I can usually recognize the core need and propose (and build or direct building of) a solution which resolves that need AND has an eye toward the likely future needs. Mythos may do an excellent job providing a high quality result based on what is asked of it. But the result will only be as good as the quality, clarity, and presentation of the request. If I hire a home builder to build me a custom home, that builder is going to ask me a thousand questions - questions I had never even thought of. Mythos isn't going to ask all those questions - it's going to make the best choices it can without the consultant's level of interaction. And the buyer will get what they get. Sure, the buyer can then say, "oh, I don't want any hallways - just connected spaces." Then the house gets demolished and rebuilt to the new, clearer spec. Repeat, repeat repeat. Maybe eventually the buyer gets what they really want. More likely they give up before reaching that point, and they go and hire a real builder. I'll sum it up like this: You can get great results with minimal effort if you don't really care too much about the details. But if you don't care much about the details, then your need probably wasn't very significant.
  • zelphirkalt 4mo ago
    I currently see the problem as follows: The knowledge worker like you sees the need for people like themselves to still be hired, and can reasonably argue for it. However, the management dudes and investors do not understand it, and it is difficult to make them understand, when their (short to medium term) profits depend on not understanding it. So whether you feel threatened or not, is just a matter of you feeling bad or not, but doesn't really matter, when it comes to finding a job.
    • michaelteter 4mo ago
• philipwhiuk 4mo ago
  Given that token counts are easily available not providing how much any of his examples cost is lunacy.
• shadytrees 4mo ago
  The Balatro game that Fable spit out (Flipside) https://play-flipside.netlify.app/ https://play-flipside.netlify.app/ is buggy but fun. Fable also fixed one of my personal pet peeves. Unlike Balatro, it comes with a calculator to preview the score!
• Andy_Donner 4mo ago
  [flagged]
• dmzxnico 4mo ago
  Probably just a model that was trained on high code bases, tuned to find security breaches and bugs by being "smart" enough to actually test the code by itself / manually going through the app / website feels easy for Fable so Mythos is just a better version.
• brockVond2021 4mo ago
  on the places I've checked, mostly Paris to places in Ireland or Britain, the times are off by an order of magnitude looks nice but deeply flawed classic LLM output
• mieubrisse 4mo ago
  Having a good prompt-engineering skill is the highest-leverage thing IMO, so I burnt 2 Max 20x usage windows to help Fable help me refactor mine. With its partnership we: - Went deep on "what types of guidance even are there? what does giving good guidance mean?" - Sampled my existing Claude guidance (CLAUDE.md, skills, hooks, etc.) and broke their guidance into "atoms" - Categorized them by clustering, the same way Big Five was generated - Generated a new candidate - Then used independent agents to compare it against my existing corpus assuming that the new one would be worse Working with it felt like working with a supersmart entity capable of generating very plausible-sounding but not-necessarily-true statements. The outcome certainly felt like an alien artifact, like nothing I'd make myself. Only time'll tell if it holds up, but it sure had some interesting ideas.
• jgilias 4mo ago
  Cool. But. Most of the “impressive” stuff is not “the model” but “the harness”. Spinning up the subagents and teams of lower models, letting them explore, do adversarial coding. It’s all in the harness. Granted, Mythos might be better at that orchestration, but it’s still the harness. Second is the prompting. The author is an expert in what they’re doing and prompts the system in a way that yields useful results. I see too many people believing that if an expert can achieve those results in a domain they’re familiar with, then them as non-experts will be able to as well. And that’s a fallacy that Mythos doesn’t change.
• kleiba2 4mo ago
  > So I asked Fable to solve the problem, first generating a complex 19 page design document and then executing it. > It worked for nine and a half hours. And how much did that cost?
• economistbob 4mo ago
  And therein is the problem most perfectly expressed. He prompted that all the data should be real and validated and then simply trusted that it was. That was for a data driven project. People will do that for countless things, even critical things.
  • an0malous 4mo ago
    I wished I had learned earlier in life how much more I could BS things because no one was going to check
• 12345hn6789 4mo ago
  The coin flip game does not work. I tossed 2 coins and it broke after that. You cannot progress forward. Not a great start for "a generational leap in model effectiveness"
• kgeist 4mo ago
  Judging by the benchmarks on Artificial Analysis, "a very real leap over every model" is 2-3 points over competitors (say, 62 for Fable 5 vs. 59 for ChatGPT 5.5 xhigh for coding).
• anonzzzies 4mo ago
  Been working on my pet project today with Fable; it seems pretty solid but not too far removed from 4.8; same hallucinating, same type of bugs, same focus in large projects on just doing what you ask and just ignoring whatever that may touch/break/influence. Running tests in the beginning but when fuller context, just 'will run later' and never doing it in the end unless you tell it to (using some assorted swear words). I will keep using it but it's incremental as far as i'm seeing, not the OMG OMG OMG Mythos is here!
  • LogicFailsMe 4mo ago
    It clearly saw things immediately that 4.8 had missed on my projects. But shortly thereafter, having step functioned past those issues and impressed the crap out of me doing so, it got stuck in the usual endless loop talking about stuff more than doing stuff, occasionally deciding to pause so I'd have to whack it to get it going again. So nope, not the AGI. But definitely an improvement.
    • justinclift 4mo ago
      > it got stuck in the usual endless loop talking about stuff more than doing stuff That's the kind of behaviour I've seen in Claude Code (Opus 4.8) when it's context space is over the 40-50% range. I tend to keep an eye on the context usage (ie `/context`) quite a lot, and generally see good results as long as the context usage is ~30% or below. Which isn't heaps, considering having to ensure it has the required docs/stuff it needs can take 15-20% of context by itself.
  • matheusmoreira 4mo ago
    I'm having the opposite experience. Fable seems to anticipate everything and do it all without asking. It's been very impressive and great to work with. Not exactly strange behavior, Opus acted just like this too when I first subscribed. The popupar meme is Anthropic nerfed Opus during their capacity cruch. No idea if it's true, but I do wonder if Fable will fall victim to the same fate.
• nickphx 4mo ago
  oh look, more overhyped drivel from a non-technical person.
• queenkjuul 4mo ago
  not only is the site completely unusable on mobile ootb, but when i enable desktop mode on Android, my taps are detected in the wrong spot--clicking Chicago registers as Saskatoon. At first i thought its routing was just completely botched. The text overflow on the legend is pretty funny considering how well the other graphics turned out (Edit: referring to the map app)
• fractorial 4mo ago
  I’ve been falling back to Opus 4.6 since 4.7 and 4.8. I recently found success in using Opus 4.6 for cheap orchestration and reasoning while Opus 4.8 High/Max agents do the work. I made serious progress towards repairing a proof for a conjecture that was published 10 days ago but kept running into a wall with one of the Lemmas. I threw Fable 5 Max at it with the same subagent set up and in an hour it claimed to have disproved a core theorem of the paper. The Lean construction looks correct, but I still need to verify it rigorously. This is certainly not something Opus 4.6 Max could do and it’s likely something Opus 4.8 Max could do with more delicate orchestration and time. However, the “one-shot” Fable 5 did give me pause.
• lominming 4mo ago
  My main issue with many of these tests and reviews is that most of the results focus on testing the harness (in this case, likely Claude Code) rather than evaluating the model’s inherent performance.
• clhodapp 4mo ago
  So, the author gave the model single sentence prompts like "Balatro, but for the game of coin flips" plus generic encouragement like "make it better" three times ended up with netlify-hostable web games each time? That is hard for me to believe. It's likely that at least some amount of additional context was provided to the model to enable it to reliably create the desired form factor. This introduces the caveat that the author probably views some amount of context as being trivial / beneath the level of mentioning. But then the question becomes where they draw the line.
• Planktonne 4mo ago
  The outputs are impressive because a machine made them, but they're not impressive in themselves. Given a tool that is supposed to unlock creativity and excitement, he made a series of worse clones of things. Again, technically impressive, but the world has never needed the ability to make Balatro but less polished and coherent. We already have Balatro. I'd be more convinced if people made things that didn't already exist; show me that these tools enable something you actually want.