Your Fridge Therapist retweeted
Joe Weisenthal@TheStalwart
Jun 1United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
Replying to @lion_tender
What’s HPMOR?
Your Fridge Therapist retweeted
I've written a version of this rant several times, but I didn't write this version. This prompt did: "Write a 6 paragraph essay in the style of DHH about why microservice architectures are bad for small teams."
I followed up with 2x "Make it more polemic", but I didn't change a comma. The emdashes gave it away for some, but without those, I think even fewer would have been able to tell.
And here's the kicker: It's actually pretty good? Take this point: "Instead of reasoning about code, teams reason about failure modes, retries, timeouts, message queues, and versioned payloads. The cognitive load compounds with every new service." Spot on, nicely framed!
What does that mean? Is AI still slop when it makes good points? Or when it produces an essay that resonates with thousands of people in just a few hours?
I've locked the tweet, because I do feel ambivalent about humans unwittingly interacting with AI writing, but why do we? It's not at all clear this isn't just a transitionary phase, like when it felt scary for most to enter this credit card on the early internet.
Here's the the full interaction with the versions produced before prompting for "more polemic": chatgpt.com/share/6939aaf0-1…
Microservices is the software industry’s most successful confidence scam. It convinces small teams that they are “thinking big” while systematically destroying their ability to move at all. It flatters ambition by weaponizing insecurity: if you’re not running a constellation of services, are you even a real company? Never mind that this architecture was invented to cope with organizational dysfunction at planetary scale. Now it’s being prescribed to teams that still share a Slack channel and a lunch table.
Small teams run on shared context. That is their superpower. Everyone can reason end-to-end. Everyone can change anything. Microservices vaporize that advantage on contact. They replace shared understanding with distributed ignorance. No one owns the whole anymore. Everyone owns a shard. The system becomes something that merely happens to the team, rather than something the team actively understands. This isn’t sophistication. It’s abdication.
Then comes the operational farce. Each service demands its own pipeline, secrets, alerts, metrics, dashboards, permissions, backups, and rituals of appeasement. You don’t “deploy” anymore—you synchronize a fleet. One bug now requires a multi-service autopsy. A feature release becomes a coordination exercise across artificial borders you invented for no reason. You didn’t simplify your system. You shattered it and called the debris “architecture.”
Microservices also lock incompetence in amber. You are forced to define APIs before you understand your own business. Guesses become contracts. Bad ideas become permanent dependencies. Every early mistake metastasizes through the network. In a monolith, wrong thinking is corrected with a refactor. In microservices, wrong thinking becomes infrastructure. You don’t just regret it—you host it, version it, and monitor it.
The claim that monoliths don’t scale is one of the dumbest lies in modern engineering folklore. What doesn’t scale is chaos. What doesn’t scale is process cosplay. What doesn’t scale is pretending you’re Netflix while shipping a glorified CRUD app. Monoliths scale just fine when teams have discipline, tests, and restraint. But restraint isn’t fashionable, and boring doesn’t make conference talks.
Microservices for small teams is not a technical mistake—it is a philosophical failure. It announces, loudly, that the team does not trust itself to understand its own system. It replaces accountability with protocol and momentum with middleware. You don’t get “future proofing.” You get permanent drag. And by the time you finally earn the scale that might justify this circus, your speed, your clarity, and your product instincts will already be gone.
Your Fridge Therapist retweeted
Replying to @ilyasu @nikitabier
Thanks for the feedback, Ilya. We're always tweaking to feel more natural—curious, what would make "grok is this true?" less disruptive for you?
Your Fridge Therapist retweeted
Replying to @NickClairmont1
"doing the dishes" is sort of like "Intelligence".
Whenever a machine does it, we shift the definition. – at Medford, MA
Your Fridge Therapist retweeted
Replying to @beala
It's important to try out the exact costs of moving those things before you bill your big clients one more item in the all-inclusive PR product.
That's what happens when you make anything that journalists notice. You made a PR stunt machine.
Your Fridge Therapist retweeted
oh but sir the revealed preference of the mob trying to escape fire was for everyone to crush each other to death so really i think the users are getting what they want
Your Fridge Therapist retweeted
Predicting the next word "only" is sufficient for language models to learn a large body of knowledge that enables then to code, answer questions, understand many topics, chat, and so on.
This is clear to many researchers now, and there are nice tutorials on why this works by @ilyasut resorting to compression ( youtube.com/watch?v=AKMuA_TV… ) and by @geoffreyhinton ( youtube.com/watch?v=iHCeAotH… ).
However, the emergence of types of understanding is not unique to language models. In arxiv.org/pdf/1804.06318.pdf by @notmisha and @brandondamos the authors trained models to predict the next few time stems of over a hundred robot hand sensors (Touch, Gyro, Accelerometer, Joint Info, Actuator Info, etc.). They ten found out that they could regress the shape of the thing the hand was touching from the activations of the neural networks using probes. That is, the model developed an internal representation of shapes even though it was simply used to predict "only" the next few senses. Awareness follows from simple predictions and interaction with the world.
Your Fridge Therapist retweeted
🇺🇸 Large ex-British colony
🇵🇸 Former British protectorate
🇷🇺 Past Mongol Khanate
🇨🇳 String of European ports
🇰🇵 Former Japanese peninsula
🇩🇪 Once not so Holy, not so Roman, Empire
🇺🇦 Known as Little Russia
🇻🇳 Former French colony
🇮🇳 Remnant of the East India Company
Your Fridge Therapist retweeted
Best paper award for "Mindstorms in Natural Language-Based Societies of Mind" at #NeurIPS2023 WS Ro-FoMo. Up to 129 foundation models collectively solve practical problems by interviewing each other in monarchical or democratic societies arxiv.org/abs/2305.17066
Your Fridge Therapist retweeted
Replying to @BL_Balthaser
historically that feels correct, but AI and Crypto means the end of all that – at San Francisco, CA
Your Fridge Therapist retweeted
It’s quite pitiful that when crypto receives criticism our default is to note that, well, “traditional finance is also a scam, ok?”
What’s even the rationale here? “Ya what we’re building is unsustainable but tradfi is also unsustainable and you dont even have smart contracts”?
Your Fridge Therapist retweeted
Can GPT-4 teach a robot hand to do pen spinning tricks better than you do?
I'm excited to announce Eureka, an open-ended agent that designs reward functions for robot dexterity at super-human level. It’s like Voyager in the space of a physics simulator API!
Eureka bridges the gap between high-level reasoning (coding) and low-level motor control. It is a “hybrid-gradient architecture”: a black box, inference-only LLM instructs a white box, learnable neural network. The outer loop runs GPT-4 to refine the reward function (gradient-free), while the inner loop runs reinforcement learning to train a robot controller (gradient-based).
We are able to scale up Eureka thanks to IsaacGym, a GPU-accelerated physics simulator that speeds up reality by 1000x. On a benchmark suite of 29 tasks across 10 robots, Eureka rewards outperform expert human-written ones on 83% of the tasks by 52% improvement margin on average. We are surprised that Eureka is able to learn pen spinning tricks, which are very difficult even for CGI artists to animate frame by frame!
Eureka also enables a new form of in-context RLHF, which is able to incorporate a human operator’s feedback in natural language to steer and align the reward functions. It can serve as a powerful co-pilot for robot engineers to design sophisticated motor behaviors.
As usual, we open-source everything! Welcome you all to check out our video gallery and try the codebase today: eureka-research.github.io/
Paper: arxiv.org/abs/2310.12931
Code: github.com/eureka-research/E…
Deep dive with me: 🧵
Your Fridge Therapist retweeted
New Stable Diffusion XL LoRA, Ikea Instructions. SDXL does an amazingly hilarious job at coming up with how to make things. Special thanks to @multimodalart and @huggingface for the GPU grant!!
HF -> huggingface.co/ostris/ikea-i…
Civitai -> civitai.com/models/153586/ik…
Your Fridge Therapist retweeted
Replying to @MrUgleh @deepfates
These were some contenders/experiment gens I made on the same day.
Your Fridge Therapist retweeted
fourteenth century alchemist mixing copper and lead and accidentally making a room temperature superconductor before disgustedly throwing it away cause its not gold
Your Fridge Therapist retweeted
Replying to @JUNlPER
someone call the neuralink engineers. i hear they know a thing or two about liquidating apes.
Your Fridge Therapist retweeted
Replying to @TheBibites @ESYudkowsky
What are the reasons to believe that this is in fact the reasoning used originally?
Asking people why they believe things makes them provide coherent explanations, even when empirical data shows variables they focus on are not predictive of beliefs.