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Cahlen Humphreys PRO

cahlen

https://bigcompute.science

AI & ML interests

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liked a dataset about 14 hours ago

SWE-bench/SWE-bench_Verified

reacted to BibbyResearch's post with 🔥 about 17 hours ago

Bibby AI is now #3 rank and live on ProductHunt. It's time to support the AI co-author for research you wish existed. Producthunt - https://www.producthunt.com/products/bibby-ai Please upvote, comment, give critical feedback. The research community has shown immense trust.

reacted to danielhanchen's post with 🚀 about 18 hours ago

You can now fine-tune Gemma 4 for free with our notebooks! 🔥 You just need 8GB VRAM to train Gemma 4 locally! Unsloth trains Gemma4 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train

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reactedto BibbyResearch's post with 🔥 about 17 hours ago

Post

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Bibby AI is now #3 rank and live on ProductHunt.

It's time to support the AI co-author for research you wish existed.

Producthunt - https://www.producthunt.com/products/bibby-ai

Please upvote, comment, give critical feedback.

The research community has shown immense trust.

1 reply

reactedto danielhanchen's post with 🚀🔥 about 18 hours ago

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You can now fine-tune Gemma 4 for free with our notebooks! 🔥

You just need 8GB VRAM to train Gemma 4 locally!

Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train

3 replies

posted an update about 20 hours ago

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I was in the mood to fine tune a model, you know since we can just do shit these days, but I've also been on a pure math kick lately going back to some of my old academic stuff. And I remember specifically back then thinking about how difficult it was to narrow down a problem worth working on. This is hopefully help narrow that gap, at least for some niche parts of number theory.

Convergent is a model that knows number theory and computational mathematics. But I've also trained agentic tool calling loops, using prebuilt tools advertised on my computational number theory project website https://bigcompute.science

So essentially, you can use this to talk about unsolved problems, ways to attack them, how to write the cuda kernels to investigate them on your local GPU, or come up with brand new conjectures!

But most importantly it can zero you in on something that might be more interesting, especially if you have a model to talk with the problem about. I'm aware their aren't a ton of number theorists that just hangout together... heh.

So I'm sure there are bugs. Just post on github or huggingface and I'll be able to get to them if I have time.

Everything open source. Model weights, training data, training scripts. Have at it.

cahlen/Convergent-7B
cahlen/Convergent-7B-data
https://github.com/cahlen/convergent
https://bigcompute.science
https://mcp.bigcompute.science/mcp

reactedto ArtelTaleb's post with 🔥 about 20 hours ago

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Splat Explorer - Image to 3D Mesh Studio

Upload up to 6 photos - multi-view input for accurate reconstruction No photos? No problem- type a prompt, FLUX.1-Schnell generates your reference images
AI vision pipeline - Qwen2.5-VL analyzes your angles and synthesizes the optimal 3D

description

Wireframe inspector - review topology before you export
GLB export - drop it straight into Blender, ZBrush, Maya, Unity, or Unreal

🔑 Bring your own HF token. Nothing is stored server-side.

Works great as a starting mesh for retopology - pair it with [8VIEW AI
Studio]( ArtelTaleb/8view-ai-studio) to generate your character reference sheets first, then build the 3D asset here.

👉 ArtelTaleb/splat-explorer

reactedto ArtelTaleb's post with 🚀 3 days ago

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🎵 MP3 Player - Drop your music, hit play. No install

MP3 Player - brings that energy back - straight in your browser.

- Drop your files - MP3, WAV, FLAC, AAC, OGG, AIFF, WMA — it reads them all
- Build your playlist - add tracks one by one or batch-load a whole folder
- Retro LCD display - scrolling track info, elapsed time, the full throwback
- Full controls - play, pause, skip, shuffle, repeat
- Mobile-first - big tactile buttons, works on phone like an iPod in your pocket

No install. No GPU needed on your end. Just upload and play.

👉 ArtelTaleb/mp3-player

reactedto danielhanchen's post with 🚀🔥 6 days ago

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Google releases Gemma 4. ✨
Gemma 4 introduces 4 models: E2B, E4B, 26B-A4B, 31B.
The multimodal reasoning models are under Apache 2.0.

Run E2B and E4B on ~6GB RAM, and on phones. Run 26B-A4B and 31B on ~18GB.

GGUFs: https://huggingface.co/collections/unsloth/gemma-4
Guide: https://unsloth.ai/docs/models/gemma-4

reactedto branikita's post with 🔥 12 days ago

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We have received the majority of components for our first small commercial batch of SO-ARM101 robotic arms. Feetech STS3250 servo drives, parallel gripper, and depth camera.

1 reply

reactedto branikita's post with 🔥 14 days ago

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Progress update on our Robonine mobile robotic platform. We've wired up the full electronics stack - Raspberry Pi, motor controllers, and a camera module - and added Bluetooth joystick and keyboard control with WiFi-based management. A 7 kg counterweight keeps the platform stable. Powered by a powerbank and ready to roll.

1 reply

reactedto salma-remyx's post with 🔥 16 days ago

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We built an OpenClaw 🦞 skill that sends daily ranked research recommendations to Slack using the Remyx AI CLI.

You define Research Interests (topics, HF models, GitHub repos, blogs etc), Remyx ranks new arXiv papers and repos to find the most relevant resources, and an OpenClaw cron job posts a formatted digest to your team's #research channel every weekday morning.

The tutorial covers the full setup end-to-end: installing the CLI, creating interests, connecting OpenClaw to Slack, installing the Remyx skill, and scheduling the cron. About 15 minutes start to finish.

Tutorial: https://docs.remyx.ai/tutorials/daily-research-digest-slack

Would love to hear how folks are tracking research for their projects. If you give this a try, let us know what you think!

reactedto umarbutler's post with 🔥 16 days ago

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Isaacus, the AI research company building legal superintelligence, is hiring!

We're looking for passionate engineers who love to build and tinker and want to have an impact on the world. Specifically, we're hiring:
• ML engineers (Australia).
• Data engineers (Australia).
• Full-stack engineers (Australia).
• DevRel engineers (Australia, San Francisco, and London).
• DevOps engineers (Australia, San Francisco, and London).

If you'd like to be a founding employee at one of the few VC-backed LLM research labs in the world, receive generous equity compensation, and work alongside other highly motivated, highly skilled engineers, get in touch: https://isaacus.com/careers

reactedto Jiaqi-hkust's post with 🚀 16 days ago

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🛰️ Introducing Awesome-Remote-Sensing-Agents: The Largest Curated Collection of Intelligent Remote Sensing Agents

We are excited to share our new repository Awesome-Remote-Sensing-Agents – a comprehensive, community-driven collection of 100+ papers at the intersection of remote sensing and intelligent agents (LLMs, VLM, multi‑agent systems, etc.).

🔗 GitHub Repository: https://github.com/PolyX-Research/Awesome-Remote-Sensing-Agents

Our repository organizes this rapidly growing field into a structured, easy‑to‑navigate resource for researchers, practitioners, and enthusiasts.

📚 What’s Inside?
We’ve carefully curated papers across 6 key application domains:
🌿 Ecological Monitoring – forest fires, biodiversity, climate science
🚨 Emergency Response – flood mapping, wildfire tracking, disaster geolocalization
⛏️ Geological Exploration – mineral mapping, lithological recognition, geologic reasoning
🌊 Marine Supervision – ocean science, autonomous surface vehicles
🌾 Precision Agriculture – crop disease detection, land use simulation
🏙️ Urban Governance – change detection, urban planning, embodied navigation

🤝 Join the Community!
We warmly welcome contributions to keep this list up‑to‑date:
📝 Add missing papers via Pull Request
🏷️ Propose new or refined categories
🔗 Report broken links or outdated entries
💬 Discuss via GitHub Issues or contact the authors

repliedto their post 16 days ago

lol. too scary for gemini.

reactedto unmodeled-tyler's post with 🚀 16 days ago

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Here's a demo of Vessel Browser in action!

Minimax M2.7 was challenged with navigating to a large Ecom site, curate a selection of 5 different products, and add them all to the cart with included reasoning behind choices. (or try it yourself - open source, MIT license, and BYOK!)

npm i @quanta-intellect/vessel-browser

Vessel is a browser that I've been working on which is designed specifically for agents with human-in-the-loop visibility. It comes with a local MCP server allowing any harness that supports custom MCP to control the browser. Additionally, you can BYOK to 8+ different providers (including custom OAI compatible endpoints and local models).

One of my favorite features of the browser is persistent, bi-directional highlighting - meaning that both you AND the agent can highlight anything on the screen and the agent receives the context.

Vessel Browser is unique in that it surfaces available tools contextually to the agent, meaning the agent doesn't have to decide between 80+ tools at any given time, but rather is focused on a subset of tools most applicable to the current state.

Give it a try!

https://github.com/unmodeled-tyler/vessel-browser

2 replies

posted an update 16 days ago

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Speaking of just being able to make shit these days.

4,753 WiFi networks. 1,544 BLE devices. 41 IR signal patterns. 117 kilometers. 257 open networks. 125 printers exposing WiFi Direct. 163 Samsung SmartTags. 121 separated AirTags. A Mercedes-Benz MBUX infotainment system advertising to anyone in range.

That's from just one leisurely evening drive in socal.

All classified, mapped, and queryable. From a device that fits in your pocket.

ESP32 Marauder + Flipper Zero + DGX Spark running OpenClaw with a local Qwen 3.5 35B abliterated model. All AI processing on-prem. No cloud APIs, no token burn. If you can run it with a local LLM, do so. Free inference forever.

Throw it in your bag and drive. Every 20 seconds — full sensor rotation. WiFi, BLE, infrared, SubGHz. GPS-tagged, timestamped, saved to SD. When WiFi is up, it fires data home. The device never waits. It just keeps scanning.

Two ESP32 chips plugged into a Flipper Zero. White chip does WiFi and BLE. Orange chip does IR and SubGHz. Both scan in parallel. Two sets of hands, one brain.

It classifies every device from raw BLE bytes — AirTags, SmartTags, printers, iBeacons. Builds a persistent knowledge graph. Filters out your own devices automatically. Plots everything on a live map with an AI chat panel. Ask it to highlight all separated AirTags and it does. OpenClaw does the heavy lifting, I just emit data to a sensor garbage disposal type API endpoint.

What interests me most is what happens over time. Same routes, different days. Devices that show up Monday but not Friday. Networks that vanish. Trackers that migrate. The ontology never rotates.

I'm probably never going to release this. But you could probably build it yourself.

Casually I call it 'MarauderClaw' because I added a full agentic action mode where OpenClaw can take over and control the flipper zero and Marauder entirely, but that just kinda seemed like a bad idea, so nah on that one boss.

Favorite WiFi name in the wild so far: Wu-Tang-Lan.

1 reply

repliedto their post 17 days ago

work constantly and never sleep. 😀

its proven.

reactedto prithivMLmods's post with 👍🔥 17 days ago

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Map-Anything v1 (Universal Feed-Forward Metric 3D Reconstruction) demo is now available on Hugging Face Spaces. Built with Gradio and integrated with Rerun, it performs multi-image and video-based 3D reconstruction, depth, normal map, and interactive measurements.

🤗 Demo: prithivMLmods/Map-Anything-v1
🤗 Model: facebook/map-anything-v1
🤗 Hf-Papers: MapAnything: Universal Feed-Forward Metric 3D Reconstruction (2509.13414)

posted an update 19 days ago

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It’s wild to me how you can just make shit now.

You can take a weekend with a raspberry pi 5, a pi camera, a 3d printer, and a smidgen of custom fine tuning (wakeword, whisper, tinybert, and pipertts) and you have physical device as a talking personal assistant.

What a time to be alive.

Edge ai, physical ai, ai augmented animatronics… tiny models. Tiny agents.

Going to be a wild year.

6 replies

Cahlen Humphreys PRO

AI & ML interests

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