ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation
Paper
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2601.03955
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2
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akhaliq
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to Daily Papers
3 days ago
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1549
Genuine recommendation: You should really use this AutoHotKey macro. Save the file as
In my experience the past few months,
macros.ahk and run it. Before sending a prompt to your coding agent, press Ctrl + Alt + 1 and paste your prompt to any regular chatbot. Then send the output to the agent. This is the actual, boring, real way to "10x your prompting". Use the other number keys to avoid repeating yourself over and over again. I use this macro prolly 100-200 times per day. AutoHotKey isn't as new or hype as a lot of other workflows, but there's a reason it's still widely used after 17 years. Don't overcomplicate it.; Requires AutoHotkey v1.1+
; All macros are `Ctrl + Alt + <variable>`
^!1::
Send, Please help me more clearly articulate what I mean with this message (write the message in a code block):
return
^!2::
Send, Please make the following changes:
return
^!3::
Send, It seems you got cut off by the maximum response limit. Please continue by picking up where you left off.
returnIn my experience the past few months,
Ctrl + Alt + 1 works best with Instruct models (non-thinking). Reasoning causes some models to ramble and miss the point. I've just been using GPT-5.x for this.
akhaliq
submitted
2
papers
to Daily Papers
9 days ago
Post
2016
🚨 New tool for the
Nymbo/Tools MCP server: The new
How it works: The tool exposes the standard discover/info/resources/validate actions. Skills live in
I've included a
Caveat: On HF Spaces,
Try it out ~ https://www.nymbo.net/nymbot
Agent_Skills tool provides full support for Agent Skills (Claude Skills but open-source).How it works: The tool exposes the standard discover/info/resources/validate actions. Skills live in
/Skills under the same File_System root, and any bundled scripts run through Shell_Command, no new infrastructure required.Agent_Skills(action="discover") # List all available skills
Agent_Skills(action="info", skill_name="music-downloader") # Full SKILL.md
Agent_Skills(action="resources", skill_name="music-downloader") # Scripts, refs, assetsI've included a
music-downloader skill as a working demo, it wraps yt-dlp for YouTube/SoundCloud audio extraction.Caveat: On HF Spaces,
Shell_Command works for most tasks, but some operations (like YouTube downloads) are restricted due to the container environment. For full functionality, run the server locally on your machine.Try it out ~ https://www.nymbo.net/nymbot
akhaliq
submitted
a
paper
to Daily Papers
25 days ago
kenobi
authored
3
papers
26 days ago
On Invariance Penalties for Risk Minimization
Paper
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2106.09777
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Published
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Paper
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2008.11293
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Published
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Paper
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1811.03390
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Published
akhaliq
submitted
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to Daily Papers
about 1 month ago
DavidVivancos
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about 1 month ago
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272
Need a new challenging Dataset? Now that #NeurIPS2025 is almost over.
DavidVivancos/NeuraxonLife2-1M
1 Million #Neuraxon Artificial Lives, from almost 10000 Research Game runs, with more than 21 Million Neurons and almost 4 years of Simulated Life.
Read the preprint here https://www.researchgate.net/publication/397331336_Neuraxon
And here you have all the code: https://github.com/DavidVivancos/Neuraxon
DavidVivancos/NeuraxonLife2-1M
1 Million #Neuraxon Artificial Lives, from almost 10000 Research Game runs, with more than 21 Million Neurons and almost 4 years of Simulated Life.
Read the preprint here https://www.researchgate.net/publication/397331336_Neuraxon
And here you have all the code: https://github.com/DavidVivancos/Neuraxon
Post
5198
🚀 I've just shipped a major update to the
Nymbo/Tools MCP server: the
Anthropic found 98.7% context savings using code execution with MCP, Cloudflare published similar findings. This is my open-source implementation of the same idea.
# The Problem
Traditional MCP exposes every tool definition directly to the model. With 12 tools, that's thousands of tokens consumed *before the conversation even starts*. Each tool call also passes intermediate results through the context window — a 10,000-row spreadsheet? That's all going into context just to sum a column.
# The Solution: One Tool to Rule Them All
Instead of the model making individual tool calls, it writes Python code that orchestrates the tools directly:
Don't know what tools are available? The agent can discover them at runtime:
The individual direct tool calls are all still there, but they can be disabled if using the
Agent_Terminal, a single "master tool" that cuts token usage by over 90%!Anthropic found 98.7% context savings using code execution with MCP, Cloudflare published similar findings. This is my open-source implementation of the same idea.
# The Problem
Traditional MCP exposes every tool definition directly to the model. With 12 tools, that's thousands of tokens consumed *before the conversation even starts*. Each tool call also passes intermediate results through the context window — a 10,000-row spreadsheet? That's all going into context just to sum a column.
# The Solution: One Tool to Rule Them All
Agent_Terminal wraps all 12 tools (Web_Search, Web_Fetch, File_System, Generate_Image, Generate_Speech, Generate_Video, Deep_Research, Memory_Manager, Obsidian_Vault, Shell_Command, Code_Interpreter) into a single Python code execution gateway.Instead of the model making individual tool calls, it writes Python code that orchestrates the tools directly:
# Search for Bitcoin price
result = Web_Search("current price of bitcoin", max_results=3)
print(result)Don't know what tools are available? The agent can discover them at runtime:
print(search_tools('image')) # Find tools by keyword
print(usage('Generate_Image')) # Get full docs for a specific toolThe individual direct tool calls are all still there, but they can be disabled if using the
Agent_Terminal. Try it now - https://www.nymbo.net/nymbot
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Lupin1998
authored
2
papers
about 2 months ago
Kameshr
authored
a
paper
about 2 months ago
DavidVivancos
posted
an
update
about 2 months ago
Post
323
Hi all!,
Neuraxon Game of Life is also live in demo at HuggingFace
DavidVivancos/NeuraxonLife
Preprint Paper: https://www.researchgate.net/publication/397331336_Neuraxon
Source Code of the Research verision: https://github.com/DavidVivancos/Neuraxon
HuggingFace Models are in the oven!
Hope you like it!
@DavidVivancos
Neuraxon Game of Life is also live in demo at HuggingFace
DavidVivancos/NeuraxonLife
Preprint Paper: https://www.researchgate.net/publication/397331336_Neuraxon
Source Code of the Research verision: https://github.com/DavidVivancos/Neuraxon
HuggingFace Models are in the oven!
Hope you like it!
@DavidVivancos
abidlabs
authored
2
papers
about 2 months ago
abidlabs
authored
a
paper
2 months ago