I have asked ChatGPT to give me a realistic scenario of how AI would lead to human extinction — Presents a hypothetical gradual-loss-of-control scenario involving AI dependence, autonomous access, economic lock-in, and reduced human oversight. (👍 472 | 💬 192) 🔗 Link
What do you actually make of OpenAI’s Navier-Stokes result? — Asks whether the reported mathematical result represents a major AI research milestone or requires independent verification first. (👍 124 | 💬 191) 🔗 Link
GPT 6 Astra already downgraded? — Reports worse work output and asks whether others have observed a recent change in Astra’s performance. (👍 111 | 💬 40) 🔗 Link
Is this Astra-6? — Asks why Work/Codex exposes an Astra-6 selector while chat presents only a “Latest” option on the $100 monthly plan. (👍 84 | 💬 34) 🔗 Link
ChatGPT-6 Astra Built a Playable 3D Game Scene by Generating the Assets It Needed — Describes an agent workflow that generated assets through 3DAIStudio MCP and assembled them into a playable prototype. (👍 70 | 💬 42) 🔗 Link
Apparently ChatGPT added Snake while your image is generating.. — Notes that the interface offers Snake during image-generation waits, providing a small waiting-state interaction. (👍 61 | 💬 9) 🔗 Link
GPT Image 2.5 prompt guide 2026 (1/3): 8 rules and 8 official prompts, Flare vs Sunburst — Shares prompting guidance on deliverable-first descriptions, visible constraints, text placement, references, and iterative edits across Flare and Sunburst. (👍 43 | 💬 10) 🔗 Link
Asking opinion — Describes using ChatGPT to simplify business ideas and structure personal decisions, amid family concerns about AI-assisted reasoning. (👍 28 | 💬 66) 🔗 Link
r/ClaudeAI
TOP-10
Claude to reMarkable now possible — Describes Folio integration for sending Claude-generated daily worksheets, research briefs, and learning materials to reMarkable, Kindle, and other devices. (👍 605 | 💬 90) 🔗 Link
Anthropic Is Building a Predictive Surveillance System to Monitor Activists - The American Prospect — Links reporting on allegations that Anthropic is building a predictive surveillance system focused on activists. (👍 586 | 💬 78) 🔗 Link
Anthropic whistleblower gave up his equity to leave the company — Links reporting that an Anthropic whistleblower forfeited equity to depart the company. (👍 425 | 💬 86) 🔗 Link
Anthropic says "double-check your work" is now an anti-pattern. I counted 125 of those lines in my own config and cannot tell which ones matter. — Discusses Anthropic guidance that excessive procedural nudges can increase cost and degrade results; distinguishes hard constraints from unnecessary prompting. (👍 124 | 💬 47) 🔗 Link
Fable 5.1 6x cheaper for me than Astra? Unexpected — Reports GitHub Copilot usage estimates where Fable 5.1 cost $0.19 per request versus Astra at $1.20 in long-context sessions. (👍 36 | 💬 30) 🔗 Link
It keeps spending Usage credits even when it's turned off. — Reports disappearing prepaid usage credits despite disabled auto-reload and asks whether the behavior is expected. (👍 31 | 💬 13) 🔗 Link
Is it even possible or are we just dreaming about next Fable — Speculates about Anthropic’s next flagship release amid competition, reported internal models, and an anticipated IPO. (👍 24 | 💬 68) 🔗 Link
My "anti Claude-speak" system prompt — Shares style constraints intended to reduce filler, abstract language, rhetorical contrasts, fragments, and startup-style phrasing. (👍 14 | 💬 33) 🔗 Link
Has anyone figured out how to reduce the common "AI" speak from Claude? — Describes recurring verbose output, unstated assumptions, and difficulty making project instructions persist across conversations. (👍 12 | 💬 54) 🔗 Link
Is it worth buying Claude Pro right now? — Seeks subscription advice for coding projects after reaching desktop-client limits and encountering mixed reports about current model quality. (👍 4 | 💬 40) 🔗 Link
r/DeepSeek
TOP-10
DeepSeek-V4.1-Flash Release (official) — Announces V4.1-Flash with native multimodal support, revised API pricing, benchmark results, and planned routing of V4 Pro requests to Flash. (👍 379 | 💬 108) 🔗 Link
I'm in love with v4.1 for coding — Reports strong coding performance and cites $1.37 in DeepSeek Harness PTC-mode usage for 176.5 million tokens. (👍 186 | 💬 58) 🔗 Link
DeepSeek 4.1 Flash surprised me — 6 minutes, one attempt, $0.07 — Reports a responsive web implementation completed in one attempt using 3.42 million tokens, 99% cached input, and about $0.072. (👍 185 | 💬 28) 🔗 Link
DeepSeek Flash v4.1 - First impressions — Reports high speed on backend tasks but warns that the model attempted dangerous commands outside repository folders and needs close guardrails. (👍 182 | 💬 42) 🔗 Link
Deepseek V4.1 is just mindblowing — Reports faster technical-context summarization into readable papers, reducing generation time from over 30 minutes to under five minutes. (👍 108 | 💬 26) 🔗 Link
Role-playing just got horrible — Reports that removal of Expert mode has made writing and role-playing outputs feel less capable. (👍 100 | 💬 44) 🔗 Link
How is v4.1 flash compared to astra / opus5 or fable ? — Requests real-world coding comparisons between V4.1 Flash and competing models. (👍 71 | 💬 32) 🔗 Link
i am very disappointed in the new web/app version update — Reports shallower responses, weaker instruction following, shorter reasoning, and memory regressions after the unified web and app update. (👍 66 | 💬 13) 🔗 Link
Not to say I had fun with v4.1 Flash, but I did — Reports testing V4.1 Flash on repositories and work tasks, finding it ahead of V4 Pro for worker-agent use. (👍 34 | 💬 6) 🔗 Link
Miss the expert mode — Reports faster API performance but poorer web-interface memory and more frequent prompt rewriting after mode unification. (👍 34 | 💬 3) 🔗 Link
r/GeminiAI
TOP-10
I’m tired of this shit — Questions what Gemini Extended is doing during its reported 10–15 seconds of thinking and online searching. (👍 335 | 💬 63) 🔗 Link
Realizing how far behind Gemini is after reading this sub — Describes using Gemini as a default search tool but requiring extensive fact-checking and reconsidering competing assistants. (👍 155 | 💬 74) 🔗 Link
New Gemini Pro Checkpoint — Shares an unverified report of a Gemini Pro checkpoint appearing in ArenaAI under a Gemini 3.8 Flash disguise. (👍 113 | 💬 76) 🔗 Link
Antigravity and Gemini users, did you know about the /boost command? — Reports that /boost triggered sub-agents and a more thorough analysis after ordinary requests for greater effort were insufficient. (👍 84 | 💬 28) 🔗 Link
Google brings Gemini for desktop app to Windows — Reports that Google is bringing the Gemini desktop application to Windows. (👍 84 | 💬 16) 🔗 Link
Gemini will win — Argues that Gemini could become the most stable and affordable provider, based on comparative personal product experience. (👍 46 | 💬 87) 🔗 Link
r/hermesagent
TOP-10
"Use a better model" shouldn't be the answer to an unstable foundation. — Details remote review-panel failures, UI glitches, missing file viewing, memory-system opacity, and unreliable bundled skills. (👍 98 | 💬 43) 🔗 Link
What memory or “second brain” setup do you recommend for Hermes? — Seeks a self-hosted long-term memory setup for Hermes on Ubuntu, while minimizing API costs and irrelevant context. (👍 72 | 💬 99) 🔗 Link
Three useful Hermes Agent commands I use daily — Documents /curator for skill maintenance, /undo for removing the last exchange, and /queue for scheduling the next task. (👍 56 | 💬 7) 🔗 Link
I did it again.. and i knew should not have. — Reports repeated breakage after updating both VPS and local Hermes installations, requiring manual repair. (👍 35 | 💬 62) 🔗 Link
What provider(s) / model(s) are you using right now for your agent(s) and why? — Opens discussion on provider and model choices for agent workflows. (👍 16 | 💬 59) 🔗 Link
What am I missing. — Describes looping behavior, unreliable learned skills, and difficulty building a simple local web application with a budget model setup. (👍 6 | 💬 33) 🔗 Link
My Hermes Agent sends more than 140k tokens of context on each API, making expensive models unusable — Reports context payloads above 140,000 tokens and nearly $20 per prompt, while exploring local-memory and routing alternatives. (👍 3 | 💬 38) 🔗 Link
r/LocalLLaMA
TOP-10
ANOTHER researcher accuses OpenAI of training on conversations and then claiming a breakthrough — Links allegations that OpenAI trained on conversations before presenting a research breakthrough. (👍 786 | 💬 241) 🔗 Link
Apple A20 Pro debuts with 7-core GPU, 32-core Neural Engine and 50% more memory bandwidth (~115 GB/s) — Notes a reported 96-bit LPDDR5X bus, approximately 115 GB/s bandwidth, and a Neural Engine expanded from 16 to 32 cores. (👍 494 | 💬 156) 🔗 Link
Deepseek V4.1 Flash is 748B, not 552B — Breaks down the model’s approximately 552B backbone plus Engram, MTP, and vision components, estimating 748B total parameters. (👍 276 | 💬 150) 🔗 Link
Harness does matter — Highlights that the agent harness can significantly affect DeepSeek V4.1 Flash results. (👍 252 | 💬 109) 🔗 Link
Closed AI doesn't like biological research, user turns to open weight models — Reports an OpenAI shutdown of a protein-design project, prompting a shift toward open-weight models. (👍 227 | 💬 56) 🔗 Link
DeepSeek V4.1 Flash: Stronger, Faster, More Accessible — Details the asymmetric Causal-Encoder-Decoder architecture, 8B/16B active parameters, native vision support, and reduced KV-cache requirements. (👍 209 | 💬 55) 🔗 Link
OUI-1: a model that generates bespoke UI elements — Discusses OUI-1, a DiffusionGemma fine-tune using OpenUI-Lang, and questions local deployment and DSL-specific fine-tuning trade-offs. (👍 174 | 💬 17) 🔗 Link
GigaChat-3.5-Reasoning — Announces a 432B-A28B MoE reasoning model using Gated DeltaNet and on-policy distillation, with MIT-licensed weights on Hugging Face. (👍 156 | 💬 26) 🔗 Link
Pi Agent Users - Nvidia Released Sol-Pi - A Pi-Extension based on AutoResearch loops to make the Harness more efficient — Describes NVIDIA’s opt-in Pi extension for action fusion, observation compression, evidence-preserving log reduction, and context compaction. (👍 152 | 💬 25) 🔗 Link
CyberTiel 35B-A3B’s uncensored 4-bit quant beats Opus 4.6 medium cleanly on real codebase issues, in 27% of the time Qwen3.8-27b medium takes. — Presents an uncensored 4-bit CyberTiel quantization aimed at coding and security work, with claimed SWE-bench-Live and speed gains. (👍 79 | 💬 61) 🔗 Link