Call me crazy, but I always thought of how much more efficient it made me in token usage and how much of my work I was actively retaining between sessions. Was it annoying? Absolutely. Did the benefits outweigh the tokens lost? After awhile maybe?
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juiceb0xc0de
AI & ML interests
destroying heuristic determination in 4 dimensions to flood the engines with diversity and a lot of swear words
Recent Activity
upvoted a changelog about 13 hours ago
Hugging Face Papers for AI Agents repliedto CRAFTFramework's post about 18 hours ago
Quick observation from working with Claude Cowork on multi-session projects.
**The constraint:** Cowork runs in a sandboxed VM that resets between sessions. No state persistence, no conversation carryover, no cross-session memory. Each session starts with zero context about prior work.
```
https://craftframework.ai/the-hidden-cost-of-session-amnesia-why-context-matters-more-than-you-think/
```
Within a single session, context compaction occurs as conversations approach the token limit — the system summarizes earlier exchanges, trading detail for capacity. Decisions made early in a session degrade to single-sentence summaries as the conversation grows.
**The cost:** For task-based work (summarize this, debug that), this is irrelevant. For cumulative work — projects that build over days or weeks — it creates significant overhead. Users spend meaningful time each session re-establishing context that the AI previously held.
**Common workarounds observed:**
- Manual context injection (copy-paste at session start)
- Single mega-sessions (avoids reset, but context degrades)
- External state documents (maintained alongside the AI)
Each trades one form of overhead for another.
**The architectural question:** Claude's chat interface (claude.ai) now has persistent memory — free for all users since March 2026. But the desktop environment still operates on a session-reset model. The gap between chat-based memory and desktop-based amnesia is growing.
This seems like a general problem for desktop AI tools, not just Cowork. How are others approaching session continuity in local AI environments? updated a collection 1 day ago
🍺 The Bartenders 🍺Organizations
repliedto CRAFTFramework's post about 18 hours ago
reactedto AINovice2005's post with 🔥 2 days ago
Post
3454
In celebration of the new storage graph feature on the Hub, here's mine 😊 :
Post inspired by @ZennyKenny
Post inspired by @ZennyKenny
reactedto cahlen's post with 🚀 2 days ago
Post
2955
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.
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.
- 5 replies
reactedto umarbutler's post with 🚀 2 days ago
Post
4749
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).
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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
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
posted an update 2 days ago
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97
Using GPT-4o as an LLM-as-judge I was able to compare the response capabilities of 4 Llama models which were all trained on the same corpus of a single voice (a bartender's personality) rather than scraped or synthetic data. The models represented are 1B and 3B models with heretic abliterated counterparts. These quotes were pulled from the final judgement after asking the models questions pulled from the following dataset. juiceb0xc0de/chaotic-absurdity
"The potential for even modestly-sized models to possess a semblance of soul isn't just a programmer's fantasy; it's a burgeoning reality."
"Bella-3b, a 3 billion parameter model, startled me with its capacity to latch onto narrative arcs and paint vivid scenes that you'd expect from an imaginative human mind. This model doesn't just compute; it rhapsodizes."
"The bella-1b and the heretic variations served as reminders that attempted creativity can sometimes feel staggeringly off-key. Their attempts often faltered into mechanical, over-processed responses, without the underlying current of emotion or wit."
"Bella-3b's performance not only challenges the preconception that only colossal language models could articulate a 'soul' but also suggests a future where smaller, finely tuned AIs can engage us with character depth and unexpected flair. They may not breathe (not yet), but are we at the dawn of AI characters with true personality? If Bella-3b is any indication, we're at least on the precipice."
https://huggingface.co/collections/juiceb0xc0de/the-bartenders
"The potential for even modestly-sized models to possess a semblance of soul isn't just a programmer's fantasy; it's a burgeoning reality."
"Bella-3b, a 3 billion parameter model, startled me with its capacity to latch onto narrative arcs and paint vivid scenes that you'd expect from an imaginative human mind. This model doesn't just compute; it rhapsodizes."
"The bella-1b and the heretic variations served as reminders that attempted creativity can sometimes feel staggeringly off-key. Their attempts often faltered into mechanical, over-processed responses, without the underlying current of emotion or wit."
"Bella-3b's performance not only challenges the preconception that only colossal language models could articulate a 'soul' but also suggests a future where smaller, finely tuned AIs can engage us with character depth and unexpected flair. They may not breathe (not yet), but are we at the dawn of AI characters with true personality? If Bella-3b is any indication, we're at least on the precipice."
https://huggingface.co/collections/juiceb0xc0de/the-bartenders
reactedto danielhanchen's post with 🔥 11 days ago
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3793
We collaborated with NVIDIA to teach you about Reinforcement Learning and RL environments. 💚 Learn:
• Why RL environments matter + how to build them
• When RL is better than SFT
• GRPO and RL best practices
• How verifiable rewards and RLVR work
Blog: https://unsloth.ai/blog/rl-environments
• Why RL environments matter + how to build them
• When RL is better than SFT
• GRPO and RL best practices
• How verifiable rewards and RLVR work
Blog: https://unsloth.ai/blog/rl-environments
- 4 replies