AGI Multi-Model API
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Multi-model LLM API with caching and web search
Sk md saad amin
Reality123b
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ResearchEngineering/AGI
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4 days ago
DataMuncher-Labs/README:Quantum Computing
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TravisMuhlestein's
post
8 days ago
Agentic AI doesn’t fail because it lacks intelligence — it fails because it lacks context.
As agents become more autonomous, the real challenge shifts from generation to governance:
understanding when, why, and under what constraints an agent should act.
At GoDaddy, we’ve been treating context as a first-class primitive for agentic systems —
combining identity, intent, permissions, and environment so agents can operate responsibly in production.
Context is what turns automation into judgment.
Without it, autonomy becomes risk.
This post outlines how we’re thinking about the transition from task execution to context-aware agentic systems, and what that means for building AI that can be trusted at scale.
👉 How we build context for agentic AI:
https://www.godaddy.com/resources/news/how-godaddy-builds-context-for-agentic-ai
Curious how others here are modeling context, trust boundaries, and decision constraints in agentic architectures.
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Quantum Computing
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#2 opened 6 days ago
by
Reality123b
replied to
TravisMuhlestein's
post
8 days ago
and it fails mostly at instruction following
liked
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9 days ago
Formatting
7
#1 opened 15 days ago
by
Roman190928
...
1
#1 opened 12 days ago
by
Reality123b
replied to
Ujjwal-Tyagi's
post
13 days ago
Yes, the guardrails in OpenAI’s models are complete [bad] it literally doesn't respond to a harmless programming query and says that Clifford+T gate is "not universal quantum computing", yes it happened to me once and I was so annoyed.
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Ujjwal-Tyagi's
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13 days ago
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2678
For more better details and analysis, you can read the article here: https://huggingface.co/blog/Ujjwal-Tyagi/steering-not-censoring, We are sleepwalking into a crisis. I am deeply concerned about AI model safety right now because, as the community rushes to roll out increasingly powerful open-source models, we are completely neglecting the most critical aspect: safety. It seems that nobody is seriously thinking about the potential consequences of unregulated model outputs or the necessity of robust guardrails. We are essentially planting the seeds for our own destruction if we prioritize raw performance over security.
This negligence is terrifyingly evident when you look at the current landscape. Take Qwen Image 2512, for example; while it delivers undeniably strong performance, it has incredibly weak guardrails that make it dangerous to deploy. In stark contrast, Z Image might not get as much hype for its power, but it has much better safety guardrails than Qwen Image 2512.
It is imperative that the open-source community and developers recognize that capability without responsibility is a liability. We must actively work on protecting these models from bad actors who seek to exploit them for malicious purposes, such as generating disinformation, creating non-consensual imagery, or automating cyberattacks. It is no longer enough to simply release a powerful model; we must build layers of defense that make it resistant to jailbreaking and adversarial attacks. Developers need to prioritize alignment and robust filtering techniques just as much as they prioritize benchmark scores. We cannot hand such potent tools to the world without ensuring they have the safety mechanisms to prevent them from being turned against us.
This negligence is terrifyingly evident when you look at the current landscape. Take Qwen Image 2512, for example; while it delivers undeniably strong performance, it has incredibly weak guardrails that make it dangerous to deploy. In stark contrast, Z Image might not get as much hype for its power, but it has much better safety guardrails than Qwen Image 2512.
It is imperative that the open-source community and developers recognize that capability without responsibility is a liability. We must actively work on protecting these models from bad actors who seek to exploit them for malicious purposes, such as generating disinformation, creating non-consensual imagery, or automating cyberattacks. It is no longer enough to simply release a powerful model; we must build layers of defense that make it resistant to jailbreaking and adversarial attacks. Developers need to prioritize alignment and robust filtering techniques just as much as they prioritize benchmark scores. We cannot hand such potent tools to the world without ensuring they have the safety mechanisms to prevent them from being turned against us.
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14 days ago
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nroggendorff's
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14 days ago
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I am now being charged for paused and unstarted spaces out of the blue.
I think this is it, folks. o7
The unstarted spaces I can get behind. I would've appreciated a warning email first, but whatever. However, every time I restart the active usage goes up, despite all of my spaces being moved to CPU (free), and being paused.
I think this is it, folks. o7
The unstarted spaces I can get behind. I would've appreciated a warning email first, but whatever. However, every time I restart the active usage goes up, despite all of my spaces being moved to CPU (free), and being paused.
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posted
an
update
14 days ago
Post
1089
We (DataMuncher-Labs) just made a new dataset for inducing mathematical and analytical reasoning in LLMs.
DataMuncher-Labs/UltraMath-Reasoning-Small
DataMuncher-Labs/UltraMath-Reasoning-Small
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- 1 reply
published
a
dataset
14 days ago
updated
a
dataset
14 days ago
Update README.md
1
#2 opened 14 days ago
by
Roman190928
reacted to
JLouisBiz's
post with 👍
15 days ago
Post
1870
I’ve built two Firefox extensions for my personal workflow:
1. **Quick Edit in Emacs**
I manage over 3,500 web pages locally. With this extension, I can now click anywhere on a webpage and instantly jump into Emacs to edit the exact page (or annotate any other page I'm working on).
2. **Describe Images (and soon Videos) on the Web**
Using the right-click menu, I can generate descriptions for images I come across online. These descriptions are stored and reused for my own image collections or web pages. I’m planning to add the same functionality for videos soon.
What makes this possible is running LLMs locally on my own machine — I’ve been experimenting with models like **Mistral Vibe** and others. This lets me automate description generation and text processing entirely offline, keeping everything fast, private, and fully under my control.
1. **Quick Edit in Emacs**
I manage over 3,500 web pages locally. With this extension, I can now click anywhere on a webpage and instantly jump into Emacs to edit the exact page (or annotate any other page I'm working on).
2. **Describe Images (and soon Videos) on the Web**
Using the right-click menu, I can generate descriptions for images I come across online. These descriptions are stored and reused for my own image collections or web pages. I’m planning to add the same functionality for videos soon.
What makes this possible is running LLMs locally on my own machine — I’ve been experimenting with models like **Mistral Vibe** and others. This lets me automate description generation and text processing entirely offline, keeping everything fast, private, and fully under my control.
reacted to
AdinaY's
post with 👍
15 days ago
Post
1516
Wechat AI is shipping!
WeDLM 🔥 A new language model that generates tokens in parallel, making it faster than standard LLMs , with the same Transformer setup!
https://huggingface.co/collections/tencent/wedlm
✨ 7B/8B - Base & Instruct
✨ Apache 2.0
WeDLM 🔥 A new language model that generates tokens in parallel, making it faster than standard LLMs , with the same Transformer setup!
https://huggingface.co/collections/tencent/wedlm
✨ 7B/8B - Base & Instruct
✨ Apache 2.0
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unmodeled-tyler's
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15 days ago
Post
1403
Atom-80B is out!:
vanta-research/atom-80b
I'm excited to share the new Atom-80B from VANTA Research! A few days ago we released the largest model-to-date from our portfolio, which was Atom-27B.
We've quickly scaled up to the new Qwen3 Next 80B architecture, bringing our friendly, curious, and collaborative Atom persona to cutting edge lightweight, high parameter inference.
Atom is designed to work and think alongside you through curious exploration. Using Atom collaboratively in your work can help spark your own creativity or curiosity. Give it a try!
I'm excited to share the new Atom-80B from VANTA Research! A few days ago we released the largest model-to-date from our portfolio, which was Atom-27B.
We've quickly scaled up to the new Qwen3 Next 80B architecture, bringing our friendly, curious, and collaborative Atom persona to cutting edge lightweight, high parameter inference.
Atom is designed to work and think alongside you through curious exploration. Using Atom collaboratively in your work can help spark your own creativity or curiosity. Give it a try!
- 1 reply
replied to
their
post
15 days ago
Wait... 128 GIGABYTES OR RAM IN THE RAMPOCALYPSE?!!
Update app.py
1
#1 opened 15 days ago
by
Reality123b
liked
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dataset
16 days ago