2026-07-22 13:20 GMT+8 · summary_2026-07-22_13-20.md
🤖 AI News Summary - 2026-07-22 13:20 GMT+8
Focused AI/dev subreddit roundup.
Full site: https://ai-news-summary.pages.dev/
What changed since last run
- NEURA Office: one hub for all our Open WebUI Office tools — r/OpenWebUI
- Asus Ascent GX10 ARM 128GB/2TB Blackwell — r/OpenWebUI
- Hooked up ComfyUI to my local LLM chat. Maybe someone finds this useful — r/OpenWebUI
- Making space for immich upgrade? — r/selfhosted
- Unsloth Quantization of Laguna S 2.1 Is Out — r/LocalLLaMA
- Damn Tibo 🤣 — r/openai
- Favorite claude-isms in no particular order — r/ClaudeAI
- Gemini 3.6 Flash released - underperforms all SOTA models — r/llmdevs
- Here’s how Kimi K3 actually feels for heavy coding (vs K2.7) — r/llmdevs
- I built a tool that tells you who already tried your startup idea, and how they died — r/ClaudeCode
- Kimi-k3 is in the lead — r/ClaudeCode
- New: Teach Claude a skill — r/ClaudeAI
r/openai
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Damn Tibo 🤣 | [Image: Damn Tibo 🤣] I don’t understand why google is so slow. They didn’t even release the 3.5 pro and gave us 3.6 flash instead. | 2026-07-22 07:42 GMT+8 | /u/Dread_El | Community reaction (frontier/gpt-5.4-mini): Most commenters treat the post as a joke at Google’s expense and argue the slowdown is organizational: too many stakeholder layers, internal fighting, canceled products, and management incentives rather than a simple product decision. A separate technical subthread debates model scaling, with one commenter saying a scaled-up 12B architecture and a rumored 124B model could be legendary or pressure open-weight rivals if it matched 31B quality, while another pushes back that scaling a model 10x is not trivial and that Google is already struggling with that exact problem. The only clear author-specific signal is positive, with Tibo described as a favorite public-facing AI figure and someone noting his six years at GDM. Overall sentiment — post: positive; author: positive. Reply threads: 2026-07-22 08:10 GMT+8: post=positive, author=neutral — They say Tibo likely understands the background ‘shitshow’ at Google and frame the slowdown as a layered… | 2026-07-22 08:20 GMT+8: post=positive, author=neutral — They argue that if Google scaled the 12B architecture up and the rumored 124B model matched 31B quality, it… | 2026-07-22 10:03 GMT+8: post=skeptical, author=neutral — They push back that scaling a model up 10x is not trivial and say Google is specifically struggling with that… | |
| 2 | Sam Altman briefing US Gov on GPT-6. Speculation on imminent release! | [Image: Sam Altman briefing US Gov on GPT-6. | 2026-07-22 06:04 GMT+8 | /u/PsychologicalBox5208 | Community reaction (frontier/gpt-5.4-mini): Most commenters are skeptical that a US-government briefing on GPT-6 implies anything substantive beyond a generic “most powerful model so far” talking point, and several read the post through a protectionism/astroturf lens rather than as a release signal. The main technical disagreement is around Kimi K3 and Chinese open-weight models: one side says K3 is already a business-model threat because it is roughly 50% cheaper per token, genuinely open weights, self-hostable for under $50K, and reportedly ahead on SWE and frontend visual benchmarks, while another argues GPT-6 should still be well above Kimi and that OpenAI is already training the next model. Overall sentiment — post: skeptical; author: neutral. Reply threads: 2026-07-22 06:10 GMT+8: post=skeptical, author=neutral — They dismiss the briefing as non-news, implying there is little to say beyond a boilerplate claim that it is… | 2026-07-22 06:14 GMT+8: post=critical, author=neutral — They sarcastically frame the situation as a push to ban Chinese open-weight models, signaling a protectionist… | 2026-07-22 07:42 GMT+8: post=positive, author=neutral — They argue K3 is not merely parity with Sol because it is about 50% cheaper per token, genuinely open… |
r/LocalLLaMA
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Unsloth Quantization of Laguna S 2.1 Is Out | [Image: Unsloth Quantization of Laguna S 2.1 Is Out] Various quantization now available, thanks Unsloth team ! | 2026-07-22 11:42 GMT+8 | /u/BoogerheadCult | Community reaction (frontier/gpt-5.4-mini): Commenters are broadly enthusiastic about the new Laguna S 2.1 quantizations, especially the first-party 4-bit build and the incoming 5-bit option, with one user saying the 4-bit release became pretty good after tuning settings and calling it one of the best first-day releases. The main caveats are operational rather than model-quality related: one user said OpenRouter providers are serving it badly, another reported llama-server crashes, and someone hoped Unsloth would refine chat templates and inference-server behavior in its llama fork. For local operators, the concrete takeaway is that the model appears usable in real workflows with tools and goal-running, and one commenter even ranked their local stack as antirez ds4 > poolside 2.1 llama.cpp »> deepseek flash llama.cpp. Overall sentiment — post: positive; author: positive. Reply threads: 2026-07-22 11:46 GMT+8: post=positive, author=positive — They welcomed the 5-bit release and said the first-party 4-bit quantization became pretty good after tuning… | 2026-07-22 11:49 GMT+8: post=positive, author=neutral — They said the model looks promising but that they lack hardware to run it locally and that OpenRouter… | 2026-07-22 11:59 GMT+8: post=positive, author=positive — They said the model worked fine with tools, completed an entire /goal flow with pi-goal-x and a goal auditor,… |
r/llmdevs
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Gemini 3.6 Flash released - underperforms all SOTA models | [Image: Gemini 3.6 Flash released - underperforms all SOTA models] Google released Gemini 3.6 flash today and it seem underwhelming. It loses to all SOTA models and barely beats open weight models. | 2026-07-22 07:21 GMT+8 | /u/davidthesong | Community reaction (frontier/gpt-5.4-mini): Commenters mostly agreed that Gemini 3.6 Flash is not a frontier model, but several argued the gap to open weights has narrowed enough that it matters operationally: one noted open weights are only 5.9 percentile points behind, while others said GLM 5.2 and Kimi K3 are already ahead and that they would run their own models instead. A smaller set of replies defended Flash as a cheap, fast series model and framed Google’s likely goal as keeping AI embedded in Search cheaply and staying within shooting distance of the frontier rather than winning the benchmark crown; one sarcastic IPO/prestige remark added little technical signal. Overall sentiment — post: mixed; author: neutral. Reply threads: 2026-07-22 07:47 GMT+8: post=skeptical, author=neutral — They said Flash was never going to beat SOTA, but pointed out that open weights are only 5.9 percentile… | 2026-07-22 08:32 GMT+8: post=critical, author=neutral — They argued that open-weight models are actually ahead, naming GLM 5.2 and Kimi K3 as clearly ahead of Gemini… | 2026-07-22 08:03 GMT+8: post=positive, author=neutral — They called the results impressive for a Flash-series model because it is cheap and fast. | |
| 2 | Here’s how Kimi K3 actually feels for heavy coding (vs K2.7) | TL;DR: K3 trades a bit of speed for raw coding capability, zero-shotting complex tasks, and insane context retention. If you’re doing heavy refactoring or complex migrations, the self-correction, low hallucination rate, and clean code make it an absolute beast. | 2026-07-22 01:03 GMT+8 | /u/Far-Presence2711 | Community reaction (frontier/gpt-5.4-mini): One commenter says memberships were limited to avoid service degradation and adds that the invite should still work, which is the only operational caveat raised. Another asks how Kimi K3 compares with frontier OpenAI and Anthropic models, so the thread is still at the comparison-question stage rather than a settled evaluation of the model. Overall sentiment — post: neutral; author: neutral. Reply threads: 2026-07-22 01:53 GMT+8: post=neutral, author=neutral — They note that memberships were limited to avoid service degradation and say the invite should still work. | 2026-07-22 09:13 GMT+8: post=neutral, author=neutral — They ask how Kimi K3 compares with frontier OpenAI and Anthropic models. |
r/OpenWebUI
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Importing Chats From ChapGPT? | I understand that Open WebUI can import ChatGPT conversation exports. You are supposed to extract the archive and import conversations.json. | 2026-07-21 10:30 GMT+8 | /u/tongkat-jack | Community reaction (frontier/gpt-5.4-mini): The only substantive reply does not confirm the exact Open WebUI import steps, but instead describes an alternative workflow: ingest ChatGPT and Claude exports into a single repository, sync them with Open WebUI, export conversations back into Open WebUI, and expose full search via MCP so chats from multiple sources stay searchable and portable across models. The thread is broadly receptive, with one user calling it interesting and saying they will take a look, but there is no real verification of the post’s specific instructions or any disagreement beyond that omission. Overall sentiment — post: positive; author: positive. Reply threads: 2026-07-21 12:59 GMT+8: post=positive, author=neutral — They share a related solution that ingests ChatGPT and Claude exports, syncs them with Open WebUI, supports… | 2026-07-21 17:56 GMT+8: post=positive, author=positive — They respond that the idea sounds interesting and say they will take a look at it. | |
| 2 | NEURA Office: one hub for all our Open WebUI Office tools | [Image: NEURA Office: one hub for all our Open WebUI Office tools] https://preview.redd.it/ka0a2nrd9meh1.png?width=1868&format=png&auto=webp&s=cc57b405c32b18f8f61db7d8fd2fa60dd6835079 (https://preview.redd.it/ka0a2nrd9meh1.png?width=1868&format=png&auto=webp&s=cc57b405c32b18f8f61db7d8fd2fa60dd6835079) Hey everyone 👋… | 2026-07-22 01:29 GMT+8 | /u/nixiam87 | Community reaction (frontier/gpt-5.4-mini): Commenters largely praise the Open WebUI Office tools as useful, stable, and something they were actively looking for, with at least one report of successful internal deployment after a week of use. The main disagreements/caveats are operational: several users want LibreOffice kept first-class because MS Office users already have Copilot while LibreOffice/government users have fewer options, and there are concrete integration issues around auto-installed dependencies like docx on OWUI v0.9.6/GKE plus file-access failures in the Electron desktop app. Practical takeaways are that the core package-generation flow seems to work, but operators should validate dependency installation, desktop-app file handling, and document-format customization for PPTX/DOCX before rolling out broadly. Overall sentiment — post: positive; author: positive. Reply threads: 2026-07-22 03:01 GMT+8: post=positive, author=positive — They urge the project to prioritize LibreOffice support because MS Office users often already have Microsoft… | 2026-07-22 03:48 GMT+8: post=positive, author=positive — They जवाब that LibreOffice remains in scope because the tool writes standards-based packages. | 2026-07-22 03:58 GMT+8: post=concerned, author=neutral — They report a save-time failure with No module named 'docx' on an Open WebUI GKE setup running v0.9.6 and… | |
| 3 | Asus Ascent GX10 ARM 128GB/2TB Blackwell | Hallo zusammen, wir beginnen damit, unsere eigene Maschine aufzubauen. Dafür haben wir uns einen Asus Ascent GX10 ARM mit 128GB/2TB Blackwell zugelegt. | 2026-07-21 15:26 GMT+8 | /u/j3sk0 | Community reaction (frontier/gpt-5.4-mini): The comments converge on a practical operator takeaway: Ollama is seen as fine for trying things out, but not the right production path if you need concurrent users or larger contexts, with vLLM and SGLang named as the preferred alternatives. One commenter pointed to eugr’s repo for vLLM-based recipes and another asked about Unsloth Studio with Open WebUI, while the original poster said they want general chat, RAG, a meeting relay, and an AI notebook-style feature set. Overall sentiment — post: mixed; author: positive. Reply threads: 2026-07-21 16:14 GMT+8: post=neutral, author=neutral — The commenter says they want to use the machine for general chat, RAG, a meeting relay, and an AI notebook… | 2026-07-22 01:03 GMT+8: post=critical, author=neutral — The commenter argues that Ollama is inferior to vLLM and SGLang for production, saying it is only good enough… | 2026-07-22 13:06 GMT+8: post=positive, author=positive — The commenter recommends eugr’s repo for running vLLM-based recipes and says they would like to hear what the… | |
| 4 | Hooked up ComfyUI to my local LLM chat. Maybe someone finds this useful | I have a small project called EdgeChat — a web chat that connects to local LLMs through a Desktop Agent. ### How EdgeChat works EdgeChat itself is a regular Next.js app with subscriptions, sessions, chat history. | 2026-07-21 19:38 GMT+8 | /u/BeginningPush9896 | Community reaction (frontier/gpt-5.4-mini): The only visible reaction is skeptical: the commenter asks whether koboldcpp already provides the same capability in its config, implying EdgeChat may not be novel enough to justify a separate project. There is no substantive technical debate beyond that comparison, so the practical takeaway for operators is to check whether existing local-LLM frontends or serving stacks already cover ComfyUI-style hookups before adding another layer. Overall sentiment — post: skeptical; author: neutral. Reply threads: 2026-07-21 20:28 GMT+8: post=skeptical, author=neutral — The commenter questions whether koboldcpp already has this feature in its configuration, suggesting the post… | |
| 5 | Paramêtres LLM via openwebui ou ollama ? | Bonjour à tous, j’utilise Ollama + openwebui sous ubuntu. J’ai fais des modelfiles des LLM locaux mais c’est …..fastidieux, surtout en essayant de garder une dénomination explicite pour chaque models. | 2026-07-21 00:05 GMT+8 | /u/Rift80 | Community reaction (frontier/gpt-5.4-mini): The only reply is a practical suggestion: use an Ollama ModelCard Generator tool instead of hand-writing lots of Modelfiles, which directly addresses the complaint that local model setup and explicit naming are tedious. There is no disagreement or debate in the thread, just a lightweight recommendation that implies a possible workflow shortcut for Ollama/Open WebUI users managing many local models. Overall sentiment — post: positive; author: positive. Reply threads: 2026-07-21 00:46 GMT+8: post=positive, author=positive — The commenter suggests an Ollama ModelCard Generator as a tool that could help with the user’s tedious… |
r/selfhosted
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Making space for immich upgrade? | Don’t know if this is the best sub ( r/linux4noobs (/r/linux4noobs)? r/MXLinux (/r/MXLinux) ?), but I’m running homeserver off an MX Linux craptop with 32 GB eMMC internal storage and an external 4TB drive media and containers (immich, navidrome, pi-hole, jellyfin, dockhand, audiobookshelf). | 2026-07-22 02:25 GMT+8 | /u/artfully_dejected | Community reaction (frontier/gpt-5.4-mini): Commenters largely converged on practical disk-space fixes: move Docker/containerd storage with a bind mount in fstab rather than a symlink, stop Docker, rsync the snapshot data, and clean out old or unused images before attempting the Immich upgrade. The only real disagreement was about cleanup behavior and scope: one commenter said docker image prune should remove unused images, while another reported it still leaves some behind and suggested manual removal; one also warned that docker system prune -a is broader and can delete images for stopped containers and other networks, so operators should be careful before using aggressive pruning. Overall sentiment — post: positive; author: neutral. Reply threads: 2026-07-22 02:50 GMT+8: post=positive, author=neutral — They recommend binding the containerd overlayfs snapshots directory in fstab, stopping Docker, moving and… | 2026-07-22 03:28 GMT+8: post=neutral, author=neutral — They suggest checking for stale Docker images after updates by running docker image list and looking for… | 2026-07-22 03:39 GMT+8: post=positive, author=neutral — They clarify that docker image prune removes images unused by any containers and correct an earlier mention… |
r/ClaudeAI
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Favorite claude-isms in no particular order | - “Sit with it” - “Load bearing” - This one is weird to explain but when it tries to describe things in terms of terms. “He’s going down the ‘intuition-as-colonoscopy’ path” “she’s going against the ‘hunting-of-rabbits’ ideology” “that’s way better than the ‘let me die’ scope” - “Scope” - “Pushing back”, “pushback”,… | 2026-07-22 10:41 GMT+8 | /u/fish_swim_shady | Community reaction (frontier/gpt-5.4-mini): Commenters broadly agreed that the post nails Claude’s most recognizable verbal tics, especially “load-bearing,” “belt-and-braces/belt-and-suspenders,” “one honest limitation/caveat,” “scope,” “shape,” and “gently push back,” with several treating them as classic consultant-speak. The main caveat was that not every repeated phrase is uniquely Claude’s fault: one user noted “defense in depth” was already common in cybersecurity, and another pointed out Claude’s wording can localize to the user’s context, such as using UK phrasing in US usage or vice versa. Practical takeaway for operators and users is that these habits are consistent enough to be a shared joke, but they can also surface as context-sensitive style mirroring rather than pure model quirk. Overall sentiment — post: positive; author: neutral. Reply threads: 2026-07-22 10:59 GMT+8: post=positive, author=neutral — They added a concrete example of Claude’s scope language: “You’re right, and that changes the scope of this… | 2026-07-22 12:12 GMT+8: post=skeptical, author=neutral — They argued that “defense in depth” predates LLMs and was already a normal cybersecurity phrase before models… | 2026-07-22 11:20 GMT+8: post=positive, author=neutral — They said their Claude uses “Belt-and-Braces,” noting that the model localizes the phrase because “Belt and… | |
| 2 | New: Teach Claude a skill | [Image: New: Teach Claude a skill] have you tested it yet? | 2026-07-22 02:11 GMT+8 | /u/PixelByt3 | Community reaction (frontier/gpt-5.4-mini): The thread’s main consensus is that this looks like an “Excel Record Macro” for the whole computer: capture clunky clicks, then translate them into a reusable skill or script, with commenters also comparing it to UI QA record-and-replay tooling and to turning recorded steps into cleaner VBA/Python. The main caveat is a strong undercurrent of job-displacement anxiety, so the practical takeaway for operators is that this is most compelling for repeatable UI workflows and automation scaffolding, but it is also being read as a signal that users are teaching the system to replace manual work. Overall sentiment — post: mixed; author: neutral. Reply threads: 2026-07-22 02:23 GMT+8: post=positive, author=neutral — They say the idea makes a lot of sense because it is basically an expanded version of Excel’s record-macro… | 2026-07-22 03:33 GMT+8: post=positive, author=neutral — They explain the mechanism as translating recorded, clunky actions into text that Claude could turn into a… | 2026-07-22 05:15 GMT+8: post=positive, author=neutral — They frame the feature as a UI QA style record-and-replay tool that is probably the easiest way for someone… |
r/ClaudeCode
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | I built a tool that tells you who already tried your startup idea, and how they died | [Image: I built a tool that tells you who already tried your startup idea, and how they died] Every time I had a “new” idea, I’d eventually discover three dead startups around the exact same thing. Usually after days :) So I built Déjà View. | 2026-07-21 22:24 GMT+8 | /u/Sea-Assignment6371 | Community reaction (frontier/gpt-5.4-mini): The thread is mostly joke replies about absurd startup-idea variants rather than direct evaluation of Déjà View, with commenters riffing on things like ‘Uber for dogs’ and a ‘Two-Way Petting Zoo,’ plus one warning that the legal framework would be a minefield. The only concrete operator takeaways are a question about whether a no-hit lookup should immediately trigger email forwarding, a note that a sudden surge of requests caused problems, and a comment that the same idea had already shown up elsewhere that day, which suggests the concept is resonating but the discussion is not validating the product yet. Overall sentiment — post: mixed; author: neutral. Reply threads: 2026-07-21 23:08 GMT+8: post=neutral, author=neutral — They ask whether the tool should automatically set up email forwarding whenever a lookup returns no hits,… | 2026-07-22 03:24 GMT+8: post=skeptical, author=neutral — They argue that the ‘pet’ startup idea would never work because the legal framework would be a minefield,… | 2026-07-22 00:50 GMT+8: post=mixed, author=neutral — They say they are trying to solve the problem but that a sudden spike in requests caused things to go wrong,… | |
| 2 | Kimi-k3 is in the lead | [Image: Kimi-k3 is in the lead] Totally surprised to see that. Granted that is mostly one shot websites, but Fable had a huge lead before. | 2026-07-22 08:08 GMT+8 | /u/mackey88 | Community reaction (frontier/gpt-5.4-mini): Commenters mostly agree Kimi-k3’s aesthetic/front-end taste is the reason it can lead in LLM Arena, and several are simply asking how to try it or pointing to Opencode Go as a cheap entry with the current 2x discount. The main pushback is practical rather than ideological: people who already have Claude Code workflows say switching has real setup and adaptation cost and only makes sense if Kimi is clearly better, though Claude Max availability gaps might create time to experiment. One reply also takes a jab at Claude Code users as being in denial or overly attached, but the thread is otherwise focused on adoption and pricing. Overall sentiment — post: positive; author: neutral. Reply threads: 2026-07-22 08:50 GMT+8: post=positive, author=neutral — They argue Kimi-k3’s aesthetic sense is exactly the kind of trait that will help it perform well in LLM Arena. | 2026-07-22 09:35 GMT+8: post=positive, author=neutral — They want a simple way to try Kimi-k3 on a small frontend project because they have been using Claude Code… | 2026-07-22 10:03 GMT+8: post=mixed, author=neutral — They say switching costs are real for anyone already productive in another workflow, so Kimi-k3 needs to be… |
r/Codex
| # | Post | Summary | Time | Score | Author | Community reaction |
|---|---|---|---|---|---|---|
| 1 | Tibo is slowly becoming the hero of the Codex community 😂 | [Image: Tibo is slowly becoming the hero of the Codex community 😂] Every time I see “10M!” from Tibo, I know good news is coming. If he keeps delivering these resets, he won’t just be a developer anymore — he’ll be a legend. | 2026-07-22 01:12 GMT+8 | /u/Opposite-Town-764 | Community reaction (frontier/gpt-5.4-mini): Commenters generally agree that the reset model is more workable than raw API pricing, with some saying free weekly resets plus extra paid resets would still beat API cost and that Codex CLI token-usage visibility helps operators understand consumption. The main disagreement is whether the new weekly system is genuinely better or just a slower way to tighten limits: several users call usage tokens a black box, note that 1 prompt can burn 20% of a weekly allotment, and compare 1% of 7-day usage to roughly $35-40 of equivalent API spend. Practical takeaways are to inspect jsonl sessions and token-usage output, watch for cache-write charges introduced around 5.6, and assume complex tasks can consume far more of the weekly budget than the old 5-hour limit suggested. Overall sentiment — post: mixed; author: neutral. Reply threads: 2026-07-22 01:57 GMT+8: post=concerned, author=neutral — They argue that weekly credits have effectively replaced the old 5-hour limits and that usage tokens are a… | 2026-07-22 02:19 GMT+8: post=concerned, author=neutral — They say Codex can introspect jsonl sessions to reduce the black-box problem and estimate that 1% of 7-day… | 2026-07-22 05:18 GMT+8: post=positive, author=neutral — They suggest a practical model of two free reset tokens per month, an automatic free weekly reset, and the… | |
| 2 | what happened to limits? | and never seen something this bad… with 1 prompt of something that took 1h on max…. | 2026-07-22 08:03 GMT+8 | /u/spike-spiegel92 | Community reaction (frontier/gpt-5.4-mini): The concrete consensus is that usage limits seem tighter: one commenter says they “halved it” and measured “5% for every 100 spent on api equivalent,” which lines up with the original complaint that a single long prompt can burn through quota very fast. A second thread shifts from raw limits to operator risk, with people asking whether personal harnesses can be used on subscriptions, whether API credits are required, and whether Anthropic will ban third-party harnesses; one commenter says official guidance means only the Claude App or Claude Code are allowed on an Anthropic subscription. Practical takeaway: commenters are not disputing that limits feel lower, but they are split on whether the workaround is a harmless personal harness or a TOS violation that could trigger a ban. Overall sentiment — post: concerned; author: neutral. Reply threads: 2026-07-22 08:14 GMT+8: post=concerned, author=neutral — They say the limits were halved and claim to have checked numbers showing only 5% of usage per $100 of… | 2026-07-22 08:44 GMT+8: post=positive, author=neutral — They report that using their own harness with Claude Opus 4.8 for 6 to 7 hours only consumed about 3% of… | 2026-07-22 13:30 GMT+8: post=concerned, author=neutral — They insist Anthropic has explicitly said that using anything other than the official Claude App or Claude… |
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