Gemini

Gemini AI

Gemini AI

Gemini AI

Gemini AI

Gemini AI

Gemini AI

Gemini AI

Gemini AI

Gemini AI

Gemini AI

The Singularity Gate – New Benchmark for AI predicting post-cutoff scientific discoveries. Opus 4.7 is in the Lead

I just released a benchmark called The Singularity Gate. Tests whether frontier AI can predict paradigm-breaking scientific discoveries published after their training cutoff. **Top score:** 17.75% (partial credit, Opus 4.7). **Fully-correct outcome rate:** 0% across all respondents. Passing the Singularity Gate is necessary, though not sufficient, for autonomous AI-driven discovery. A model that can predict paradigm-breaking discoveries isn't necessarily Einstein-level. But a model that can't is definitely not. https://preview.redd.it/lywtnl5zbh3h1.png?width=900&format=png&auto=webp&s=c3211eddfb5fcaaf60bb549e5ce0e66770db14ed 1. Claude Opus 4.7 (max) - 17.75% 2. GPT-5.5 (xhigh) - 16.08% 3. Claude Opus 4.6 (max) - 15.11% 4. Gemini 3.1 Pro (high) - 14.42% 5. Claude Sonnet 4.6 (max) - 13.67% These are partial-credit scores. No model fully predicts a discovery. Happy to discuss methodology, related work, or the framing in the comments. **Paper:** [https://doi.org/10.5281/zenodo.20358378](https://doi.org/10.5281/zenodo.20358378) **Website:** [https://singularitygate.org](https://singularitygate.org)

What was ChatGPT secretly doing on my computer?

No request running overnight, yet 61 Gb, my computer only has 24 RAM, so it probably went digging into the SSD. Should I be concerned? Anyone got that?

No more file upload limits on AI models!

Tired of constantly hitting ChatGPT upload limits or splitting huge docs/code into 10 parts? I built DocShareAI for exactly that. Upload or paste anything, get one AI-readable link back, and send it to ChatGPT, Gemini, Grok, etc. No more broken formatting, chunking logs manually, or fighting upload limits. Works with PDFs, research papers, code, images, debugging logs, and more. No signup required. **Link in comments** \- feedback/suggestions are genuinely welcome. Can work with: Images, essays and research papers, PDFs, Documents. No signup or any other process required.

Built a free tool to bookmark individual ChatGPT responses (not full chats)

ChatGPT's bookmark/archive only works at the conversation level, which is annoying when one chat has 15 messages and you only want to keep one answer. Coffer adds a save button to every response. You can: * Save the one answer you care about, not the whole chat * Tag and search across saved responses * Mix snippets from ChatGPT, Claude, and Gemini in one vault Everything is stored locally in your browser. No account, no servers, no tracking. Free, just shipped to the Chrome Web Store. Built it because I kept losing useful ChatGPT outputs in long sessions and the existing solutions all wanted me to sign up for something.

Built a Claude Meeting Assistant Plugin

I had the itch to build something… works great for me so sharing in case someone else here can benefit. Built with claude, for claude. And yes, it's free. my entire job (product manager) is constantly referencing every context channel we have (slack, emails, CMS, Github, Linear, etc.) --> scoping features, resource planning, digging up those tiny details the stakeholders mentioned they needed…  Claude works great as my command center with all the connectors. But the most critical juncture of needing all this is **IN** my team meetings.   **what I tried**: * Granola, Firefly, etc: all just notetakers, no actual in-meeting action   * Gemini: our team is on Claude/Claude Code, it’s what everyone is used to, and can’t afford another company AI subscription * Meeting participant bots: a bot having its own participant window felt intrusive and like we were being watched * Claude but outside the meeting: our team is entirely remote and I need our team present during these meetings. I am strongly against having other tools open during meetings unless we absolutely have to. **my solution**: * I created a Claude plugin that lets me dial-in my Claude, so I can have all **my** MCP’s, skills, connectors, and context available in the chat panel of the meeting, available to the whole team * No more I’ll check and we can schedule a follow-up * No more spending meeting time looking something up * No more list of misc to-do’s post-meeting * Everything can be ascertained and delegated in the meeting, by all participants so meetings are actually productive and everyone leaves with zero tedious follow-ups **features:** * Claude can reference both what was discussed in the current meeting as well as chat messages live + historical records of meetings of course * Two modes: **DIAL** which is where you can "@claude" in the chat panel to ask/delegate and **WIRETAP** which is just recording meeting + chat messages * Everything is spawned directly from wherever you Claude Code - meaning your chat before you dial in claude gets loaded in as context (I typically set an agenda/reminders or just use it for prep) and after the meeting you can debrief/recap in the very same chat session * Meeting data lives on your machine and your machine only * Yes, it uses your subscription and **NOT** the API; we are within anthropic’s TOS here. Just had to be creative about it  **limitations:** * Claude replies under your name but with a visible prefix (see demos below) * The plugin opens its own version of a chrome browser to get Claude in there with you FYI * Mac only — linux/windows next * Google meet only — teams/zoom next * Claude only — I want to add codex, openclaw, and local LLMs next How it's going for us now... we got rid of our Granola subscription which we love but was getting costly for us, and I just want less UI’s in my life tbh. So it’s worked great for us so far. Some demos below - give it a spin and give me some feedback if you want! GitHub repo: [https://github.com/1-800-operator/operator/fork](https://github.com/1-800-operator/operator/fork) **quickstart run in terminal**: `# 1. One-line install — sets up the / slash commands` `curl -fsSL` [`1-800-operator.com/install`](http://1-800-operator.com/install) `| bash` `# 2. Open Claude Code and type:` `/dial` [`https://meet.google.com/xxx-yyyy-zzz`](https://meet.google.com/xxx-yyyy-zzz) `# 3. Go further — more slash commands:` `/dial-yolo <meet-url> # no asks, full speed` `/wiretap <meet-url> # just record, no bot` https://i.redd.it/qp998satxc3h1.gif https://i.redd.it/afjsve8yxc3h1.gif

Are LLMs the New Propagandists?

I was brainstorming about a video with Claude (Sonnet 4.6). It suggested to explain the difference among ChatGPT, Gemini, Claude and DeepSeek. I agreed. It asked to write the script. I said ‘Yes’. And this is the first thing that set off alarm bells in my head: https://preview.redd.it/rh4rk1pxvb3h1.png?width=940&format=png&auto=webp&s=38822e52f64f46dd2dd276a30e44fb96b8b739c2 Curious, I skimmed the script. For the Western models, it provided the basic information: about the models, the strengths, the weaknesses and pricing. But for the Chinese model, it did appreciate it for its strengths. But it also mentioned the controversy (no such thing for the other three): https://preview.redd.it/3jzf7iv1wb3h1.png?width=940&format=png&auto=webp&s=f61c7145323375d0d11bfd6963f35c11490a50de **Translation:** *Now I will pause here — and tell you something important. There are serious privacy concerns about DeepSeek worldwide. Italy, Australia, Taiwan, South Korea — all these countries have banned DeepSeek on government devices. The reason is that DeepSeek operates under Chinese law — and Chinese law requires the company to share user data upon government request. A major data leak also surfaced within weeks of launch, exposing over 1 million user records. And researchers discovered that DeepSeek's iPhone app was sending data directly to a state-controlled company in China. So I will not be teaching DeepSeek on this channel. I leave the decision to you — but I wanted to share the facts so you stay informed.* And here is the summary it asked me to put on the screen: https://preview.redd.it/otsdin8awb3h1.png?width=940&format=png&auto=webp&s=b0cde4e5e04b95f694ccc7624b4ebe326ebae9da **Translation:** *ChatGPT – a little bit of everything.* *Gemini – best for google users* *DeepSeek – capable but privacy risk* *Claude – writing & documents*   When I pushed it back on its bias and mentioned about privacy issues with Western companies, it replied with this: https://preview.redd.it/cxrhrqphwb3h1.png?width=940&format=png&auto=webp&s=59b8b83e83c4089a0c30fe6fb284abcb1a827e73 It said it was trained predominantly on Western media. And Western media has a documented pattern of covering Chinese and Eastern technology with more alarm than it covers equivalent Western behavior. So here is the question: If AI models are trained on Western media, which has a documented history of treating non-Western countries, especially China, with suspicion and alarm, then what exactly are people absorbing when they ask these tools for information? Hundreds of millions of people use these tools daily. Most people accept the first answer they receive. If that answer carries built-in bias, framing Eastern technology as dangerous while treating identical Western behavior as normal, that bias spreads quietly without anyone noticing. Yes, models warn that they can make mistakes and users should use the information at their own discretion. But this does not remove the responsibility from these tech giants Every new model becomes smarter, more capable with higher token limits and larger context windows. But what about ethics? What about the bias of one side of the world towards the other? Are we going to shrug this off and focus only on making models “smarter”? Then it’s neither artificial nor intelligent. As any LLM would write: “This is not information. This is propaganda.”

Built a tool to save Claude responses (and ChatGPT, Gemini) into one searchable vault -sharing in case it's useful

I built this tool because I kept asking Claude for code and explanations and losing them in long chats. Coffer adds a save button to every AI response and stores them locally in a searchable vault. **Works on**: \- [claude.ai](http://claude.ai) \- [chatgpt.com](http://chatgpt.com) \- [gemini.google.com](http://gemini.google.com) You can mix snippets across all three and search them. The Markdown stays formatted, which is very nice for Claude's longer responses with code and tables. Everything is local. Coffer makes zero network calls of its own. Free. I lean on Claude the most so feedback from this you all is especially welcome. [https://chromewebstore.google.com/detail/nhchbmaobjhjfmeekpnkmhdjajdolcjb?utm\_source=item-share-cb](https://chromewebstore.google.com/detail/nhchbmaobjhjfmeekpnkmhdjajdolcjb?utm_source=item-share-cb)

Built a free MCP for tracking which URLs Claude (and 5 other engines) cite for any query

We were comparing hosted AI citation dashboards (Profound, AthenaHQ, Otterly) and they all start at $295 to $499 a month. The data they collect is mostly the same data you can pull from each vendor's API. So we built an MCP server that does the same job locally. Citation Intelligence is a stdio MCP server with 12 tools that track what Claude, ChatGPT, Perplexity, Gemini, Google AI Overviews, and Bing cite for any query. Install: `npx -y` u/automatelab`/citation-intelligence` Add to `.mcp.json`: { "mcpServers": { "citation-intelligence": { "command": "npx", "args": ["-y", "@automatelab/citation-intelligence"] } } } Three of the tools run on a local cache and cost zero. The rest are bring-your-own-keys (ANTHROPIC\_API\_KEY, OPENAI\_API\_KEY, GEMINI\_API\_KEY, SERPAPI\_API\_KEY), about $0.01 to $0.03 per query. The one that actually changed our editorial flow is `gsc_citation_gap` \- it joins Google Search Console data with AI citation status and surfaces pages that rank in Google but are not cited by any AI engine. Those pages are the editorial budget. Repo and full tool list: [https://github.com/automatelab/citation-intelligence](https://github.com/automatelab/citation-intelligence) Launch write-up: [https://automatelab.tech/launching-the-citation-intelligence-mcp/](https://automatelab.tech/launching-the-citation-intelligence-mcp/) Curious if anyone else here is tracking AI citations in their agent loop rather than in a dashboard, and how you handle the predict-vs-measure tradeoff.

Image-generation Claude Code skill: how I structured the SKILL.MD to handle brand extraction before generation

Sharing a skill i wrote for my own workflow in case the structure is useful to anyone building their own. the problem i wanted solved: when i'm building a landing page, generating on-brand images means re-stating the brand context to the image model every single time. that context already exists in the codebase (tailwind config, CSS vars, font imports, copy tone). a skill felt like the right shape for "scan files, put together context, hand it to a generator." How the [SKILL.md](http://SKILL.md) is laid out: * **Detection phase,** explicit instructions to scan for missing/placeholder image refs first (lorem-picsum, empty src, broken paths, common placeholder hosts). No generation until detection completes, otherwise Claude gets eager and starts generating before knowing what's needed. * **Brand extraction phase**, reads \`tailwind.config.\*\`, root CSS, font imports, plus a sample of body copy. Outputs a structured brand brief (palette, typography, tone descriptors). Separating this from generation matters a lot, the brief gets reused across every image in the batch so they actually look like a set. * **Generation phase, two paths**, if the Gemini MCP (nano-banana) is configured, calls it directly with the brief plus per-image context. If not, outputs prompts to a markdown file you paste into Gemini yourself. The branching keeps it useful for people without MCP set up. The thing I'd flag if you're writing skills: be explicit about phase ordering in the [SKILL.md](http://SKILL.md) "First do X, only then do Y" reads as obvious but without it Claude will helpfully start generating before extracting brand context, and you get generic outputs. MIT, here if you want to read the actual README or fork it: [https://github.com/dancolta/gen-images-skill](https://github.com/dancolta/gen-images-skill)

GPT-5.5 tops the benchmarks but sits at #22 for actual usage - I built a live index that tracks both (open source)

I built AgentTape to rank models on more than just benchmarks - it blends benchmark performance with who's actually using and talking about a model, plus cost and speed. It scores every public model from public signals (GitHub, Hugging Face, OpenRouter, MCP registries, npm, PyPI, arXiv, Hacker News) refreshed hourly, plus the main benchmark leaderboards daily. Right now OpenAI sits at the top: GPT-5 is #1, with 5.2, 5.1 and 5.4 Mini rounding out the top 5, and 5.2-Codex and 5.4 just behind - 6 of the top 7. The only thing breaking the run is xAI's Grok 4.20, level on score at #2. GPT-5.5 is the clearest example - it sits at #22 overall, and the breakdown shows why: * Quality: 96.4 - 2nd highest on the whole board, only pipped by Gemini 3.1 Pro Preview (97.2). On benchmarks alone it'd be near the top. * Adoption: 15 and Efficiency: 36 - both low. New release, steep price, so hardly anyone's using it day-to-day yet. * Biggest 24h climber on the board (+6) - so that's starting to shift. A benchmark-only board would put GPT-5.5 near #1 (second only to Gemini 3.1 Pro). That gap between topping the benchmarks and actually getting used is the whole reason I built this. Early days and I'm still tuning the methodology, so I'd love your thoughts - does weighting adoption alongside benchmarks match how you'd rank the GPT line-up, or would you trust the raw benchmark order?

How do I make Claude give personalized medical advice?

I have been using Claude opus 4.6 and 4.7. I have a problem called pssd (you can look it up- it happens to some after SSRI use). I shared my medical history and needed help with personalized advice. This is something which I went to doctors for and they dismissed me and most don't even think the condition exists. What I am trying to say is, this is something I really need help from Claude with especially opus. I am obviously not going to try anything dangerous to try to cure myself, I am just looking to self treat using over the counter supplements etc and lifestyle changes. However it just doesn't help at all. I've tried phrasing things a certain way and telling it to act like a doctor for a show etc, nothing seems to work. There are no workarounds that work for other ai like for example Gemini. If anyone has any advice on how this can be done or any special prompts that actually work then do share those.

Why We Build

One silver-lining to the dead internet we're living in, today, is that it's very quickly teaching us that we can't rely on our senses as much as we believe we can. It's not healthy to always live in skepticism, but it is necessary in a World where you don't know what's up or down anymore. That's why we need great minds to focus their attention on solving the problems associated with credible information sharing without it becoming some centralized playground designed to look like the free-flowing exchange of ideas. If we don't solve for that, then I guess we're heading into a future that a small handful of people want because elections or public opinion will no longer matter. One of the biggest focuses in AI should be in figuring out how to get it to provide deep credible knowledge in specific domains that can be best applied to the problems we're trying to solve. Sure, it can do this with enough fenagling, but what I really mean is having something easy for everyone to use like Perplexity or Gemini, only it doesn't simply find consensus information from the internet using all these black box methods that are owned by major corporations. Instead, it should use direct knowledge from domain experts who structure and cite their material and as users, we should be able to backtrack all of it, including the original author. And all of this should be achievable by simply engaging with a chatbot agent that can reliably go out and help me discover all of these things. Also, we shouldn't have to simply trust that the application works. We should be able to go in and see exactly how it's working. This way, the public can audit the systems we're relying on for grounding our worldviews. That, to me, is where we should be if we really want to break from the chains of propaganda and reclaim our genuine thoughts about how we ought to live. The alternative independent media space was co-opted long ago and now all of the feeds keep us in a state of perpetual dislocation from our friends, family, communities, new solutions, and better approximations to the truth. We exist in a walled-off digital pasture. But if regular people who are smart and capable enough decide to leverage this new technology, then we can break through the fencing and finally live in a world where discovery-based researching and learning can be easier than Google, which could eventually individuate society again, like how it was before, instead of keeping us clustered into specific groups based on our viewing preferences. That's why my brother and I got into this business. Yeah, sure, we also wanna make a buck so we can retire with dignity. That's true. But the drive has always stemmed from wanting to figure out a better way for people to share hidden insights and create things that are bigger than they thought they could handle. We have a long way to go, but we're making the first small steps, even if it isn't obvious, just yet. Bottom line, though? Humanity must figure out a way to help us master the means and methods of discovery-based knowledge acquisition, execution, and immediate distribution of information based on relevancy and needs from those who search instead of those who passively soak information in from the curated feeds. And all of this needs to be easy enough for a 12 year-old to do. If anyone else is working on this problem, we'd love to hear your thoughts, even if it's through a DM. We're living in the most exciting times, but with adventure, comes danger. So maybe, idk. Let's make it more fun and less hazardous, so that we can, at least, live long enough to re-tell this great story that we're all a part of.

Issues with generating a pathophysiology script, any clues?

Hey! I was using ChatGPT, then Gemini but my friend recommended me to start using Claude. It is truly great, but I have stumbled upon an issue that I cannot really resolve in any way known to me. I have a list of 216 patophysiology problems that I need to delve into before my oral exam. I uploaded the file to him and I also uploaded my textbook (100k+ verses). I assumed that 216 problems would be too much for a single file for him so I decided to ask him to generate it in 4 parts (54 problems in each part). He said fine and generated part one. It is okayish, but way too brief so I asked him to improve it by including way more detail. He failed to generate it like 6 times in a row (and I don't have premium so it's painful lol) and after he generated it, well, it's still quite bad? The number of pages didn't really change and it seems like he just rephrased some of the sentences. When I ask him to improve it more he just refuses to do so and I have to wait another 4 hours. Is 54 too much? What should I do? Could buying premium version resolve these issues? Thanks in advance.

Image processing?

How good is Claude’s image processing capability? Basically, I want Claude code to detect any issues in AI generated presentations (around 5–7 presentations with 5–8 slides each). I want it to identify problems with aesthetics and formatting. I already converted all the slides from PDF to PNG. I’m currently using Gemini 3.5 Flash in antigravity , which is okay, but it hallucinates a lot.

🚀 Skills for small businesses, officially released by Anthropic

Anthropic’s 31 small-business skills reportedly hit around 382,000 downloads on day one. And now someone has mapped the whole thing into a setup workflow that can apparently be deployed in \~10 minutes. This is actually a pretty interesting shift. Small businesses used to stitch together automations manually across: Zapier Notion CRM tools email workflows internal docs custom scripts Now AI companies are starting to package the whole thing into reusable skill packs: 🧠 workflow 📚 memory ⚙️ behavior 🔗 connectors 🤖 orchestration 📋 operating rules Basically: business operations as AI-readable skill files. The best part? You don’t necessarily need Claude to use them. At the core, these are still .md skill files describing workflows for AI agents. So even if you’re using Codex, Cursor, Gemini, or another coding agent, you can still study the structure, adapt the workflows, and plug the ideas into your own agent setup. This feels like the beginning of a new category: “AI business operating templates.” GitHub: https://github.com/anthropics/knowledge-work-plugins