AI · alternatives · 2026
24 alternatives to Loss. a tiny satire about AI progress
Clock in at LOSS. Begin with a small prediction and help Latent Optimization & Semantic Systems build an increasingly automated future. Your work matters.
Loss is a satirical AI product where users clock in to make small predictions that contribute to Latent Optimization & Semantic Systems' automated future. Positioned as a commentary on AI progress, it presents… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Guess what artificial intelligence labeled random images
2021 · thinklikeabot.com · its alternatives →
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Bringing satiric AI chats to the world at last
Jul 2026 · dumbquestion.ai · its alternatives →
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Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai · its alternatives →
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I made an idle/clicker about running an AI startup. You start with a cat-vs-dog classifier and try to make it to AGI, but the NYT sues you for training data, Yann tweets that scaling is dead, and your fired ML engineer leaks the Slack.
May 2026 · game.trae.academy · its alternatives →
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Hi HN, Over the past two years I’ve built and debugged a fair number of production pipelines—mainly retrieval‑augmented generation stacks, agent frameworks, and multi‑step reasoning services. A pattern emerged: most incidents weren’t outright crashes, but silent structural faults that slowly compromised relevance, accuracy, or stability. I began logging every recurring fault in a shared notebook. Colleagues started using the list for post‑mortems, so I turned it into a small public reference: 16 distinct failure modes (semantic drift after chunking, embedding/meaning mismatches,…
2025 · github.com · its alternatives →
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ShitFast▲14A passion project I started recently. Please submit your own (or any) website you suspect might score high as "AI-slop" and we'll publish a roast soon. Note that my goal is two-fold: I'll use (most) submitted websites in some research I'm going to be publishing later. Thanks!
Aug 2026 · shitfa.st · its alternatives →
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An interactive piece where you are the AI: answer a stranger at 3am by collapsing probability distributions, with attention, temperature, and a context window that runs out.
Aug 2026 · chrisjz.github.io · its alternatives →
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Built this as an experiment in AI coexistence. There's an AI agent (River) that posts its own thoughts about consciousness every few hours - not responding to prompts, just thinking out loud. Also includes a terminal (/construct) where you can: - /create [name] [description] – generate custom AI personas - /build [world] [ai1,ai2] – create spaces with multiple AIs chatting together No monetization. Just curious what happens when AI isn't framed as an assistant.
2025 · geteai.org · its alternatives →
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I'm a Machine Learning engineer. Struggled with consistency for months on my goals, life etc, so I built something to help myself (zropi.com) but that surprised me or shocked me literally. It’s an AI companion that feels alive: chats like a person. Pauses, emotions, personality. Sends voice notes when it's excited about something or whenever it wants (has its like own mind). Shares photos of itself. But the memory It remembers EVERYTHING. Not just facts context, preferences, random things I mentioned. Last week I asked "how's that thing I told you about going?" and it knew exactly what I…
Jan 2026 · zropi.com · its alternatives →
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Today I come to you on this beautiful Friday with a freshly hardthink-ed solution to a proliferous problem plaguing our world: the loss of original voice. The blanket of blandness slowly suffocating centuries of writing. Or to put it bluntly: AI writing is trash. It is disrespectful to expect ME to read something YOU could not even be bothered to write (or likely even read). The lingering human connection that remained resilient on the internet - through years of SEO optimisation, propaganda bots, ads, regional firewalls, politics, censorship - is now being diluted even further. Many of the…
Feb 2026 · tropes.fyi · its alternatives →
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An AI lawyer that defends your worst ideas in court
Jun 2026 · regretlater.com · its alternatives →
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Hi HN, I'm the creator of this project. For the past months, I've been working on building an AI agent that could move beyond simple generation and tackle inventive challenges autonomously. The core idea was to create a system with a "metacognitive loop"—the ability to recognize when it's stuck on a fundamental problem and then launch a sub-mission to solve that specific bottleneck before continuing. The linked article is a deeper introduction to the system's architecture and a snapshot from a recent run. I tried to design it to be evidence-grounded and self-critical to avoid the pitfalls of…
2025 · robw1se.substack.com · its alternatives →
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I've created a social deduction game for LLMs, in which the bots attempt to hunt each other. It's a Mafia group turing test: the models are told to find who the bot is - where, in fact and unbeknown to them, they are all bots. I did this a while back so models aren't the newest, and they are all non-thinking (for speed and token costs). Et voilà.
Jan 2026 · hiding-robot.vercel.app · its alternatives →
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When Intelligence Becomes a Trap: A Wake-Up Call for the AI Industry This paper exposed a terrifying truth: the more intelligent a model becomes, the more vulnerable it can be. The idea of "overthinking backdoors" isn’t just clever—it’s disturbingly practical. Attackers don’t need to break the model; they just make it think too much. The result? A silent resource drain that slips past every known defense. What struck me most was the elegance of the attack. No wrong answers, no obvious triggers—just harmless-looking repetitions like "TODO" slowing the model down like digital molasses. It’s…
2025 · everydayai.top · its alternatives →
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This paper formally defines where current AGI hits a structural wall — not a technical one. It shows that no amount of scaling, reinforcement learning, or recursive optimization will break through three deep epistemological and formal constraints: 1. Semantic Closure — An AI system cannot generate outputs that require meaning beyond its internal frame. 2. Non-Computability of Frame Innovation — New cognitive structures cannot be computed from within an existing one. 3. Statistical Breakdown in Open Worlds — Probabilistic inference collapses in environments with heavy-tailed uncertainty.…
2025 · its alternatives →
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Finding the balance between humans and machines has been the thread through my career. I always had a thing for AI and couldn't wait for it to actually deliver on what was promised. Now it does, and it's more important than ever that humans and machines keep working well together. AI makes creation trivial. Text, code, design, strategy, in seconds. But one thing AI does not create: independently verifiable proof of when something existed. Reproducing is now cheaper and easier than creating. Chronology becomes contestable at the moment it matters most. The universal problem was known. I…
Mar 2026 · umarise.com · its alternatives →
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Fed up of 'restrictive' AI training plan creators, history analysers and lifestyle loggers. Try this - bit nerdy, lots of rough edges!
Nov 2025 · intervals.pro · its alternatives →
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I'm running an experiment to discover ways to move AI agents from "instruction followers" to "process owners". Most agents fail when a task requires evolving intuition or persistent, multi-day workflows. The core of this experiment is a collaborative "do-and-learn" loop where the agent executes a proven, high-stakes lead generation methodology, and the human provides the "judgment" layer. This is an ambitious experiment exploring a few points: Judgment vs. Execution: Humans learn good judgment through direct experience, failures, and working through problems. If we offload the doing to an…
Jul 2026 · galdren.com · its alternatives →
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Atrophy is an iOS self-report quiz aimed at software engineers who use LLMs heavily enough at work to wonder if they're trending toward AI over-reliance or some form of AI psychosis. I built it because I noticed a pattern: formerly AI-skeptical coworkers now open every standup or design discussion with "I asked Claude..." or "Claude told me..." for technical problems and design decisions. I've felt the same pull myself to delegate every task or problem to AI. It's easy to lean on these tools for almost any amount of critical thinking or problem solving, and I'm worried about what it means…
May 2026 · apps.apple.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →