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practical ai news, tips, takes, wips, reviews, stories, and Q&A from the front lines of the ai unfolding.
Finally a new great text-to-image model,
waiting for open source competitors
waiting for open source competitors
AI is here to replace cognitive labour, not vision. Vision remains the essential prerequisite. AI is a boon for individuals with purpose and perspective. Machines can only replace labour, never the idea. Family-owned businesses from before Industrial Revolution still exist today because they embraced the revolution.
Alibaba dropped Qwen2.5-Omni-7B, a new multimodal AI
— Processes across text, audio, image, and video in real-time
— Text and speech outputs
— Strong speech understanding, outperforms specialized audio models
— Can run on phones, laptops
— Open-source
https://github.com/QwenLM/Qwen2.5-Omni
https://huggingface.co/Qwen/Qwen2.5-Omni-7B
— Processes across text, audio, image, and video in real-time
— Text and speech outputs
— Strong speech understanding, outperforms specialized audio models
— Can run on phones, laptops
— Open-source
https://github.com/QwenLM/Qwen2.5-Omni
https://huggingface.co/Qwen/Qwen2.5-Omni-7B
00:00 What is MCP?
02:22 LLM + Ghidra Demo (Claude)
05:02 Gemini Test
06:44 Backend Implementation
09:23 Connecting MCP Clients
11:02 Java Integration
12:45 Conclusion + Extensions
https://www.youtube.com/watch?v=u2vQapLAW88
02:22 LLM + Ghidra Demo (Claude)
05:02 Gemini Test
06:44 Backend Implementation
09:23 Connecting MCP Clients
11:02 Java Integration
12:45 Conclusion + Extensions
https://www.youtube.com/watch?v=u2vQapLAW88
Uff, I wanted to try the new text-to-image model
this was prompt engineered thread datta that didn't entirely remove reaction insight from my prev pipeline for grok'd thread summaries
honestly a rly great strat to launch AI models w/ limited guardrails for first 24 hours, get people hooked, then nerf it
Following on yesterdays chat about Knowledge Graphs
I discovered Microsoft recently released a framework that reverse engineers knowledge graphs from unstructured text
https://youtu.be/6vG_amAshTk?si=iG31IpbvsCZZ9dx4
I discovered Microsoft recently released a framework that reverse engineers knowledge graphs from unstructured text
https://youtu.be/6vG_amAshTk?si=iG31IpbvsCZZ9dx4
Playwright MCP could be a good solution for your compliance teams - do they need to get wallet snapshots daily? Use a little AI, have the task get automated.
https://helixiora.com/playwright-mcp-great-for-browser-workflow-automation/
https://helixiora.com/playwright-mcp-great-for-browser-workflow-automation/
🔥 The full and first episode of our "AGENT ECONOMY" podcast series is now available on all streaming platforms for free.
Produced by @olivecap.eth.
Links to listen in 🧵thread. Prime members of our newsletter get access to the full episode 48h before.
In this episode, together with @lucjodet, we explore:
- what the Agent Economy is,
- how it differs from a bot,
- why now and what we mean by "transacting",
- and what are some of the applications we should keep an eye on.
Stay tuned for more episodes soon in this Agent Economy series.
Produced by @olivecap.eth.
Links to listen in 🧵thread. Prime members of our newsletter get access to the full episode 48h before.
In this episode, together with @lucjodet, we explore:
- what the Agent Economy is,
- how it differs from a bot,
- why now and what we mean by "transacting",
- and what are some of the applications we should keep an eye on.
Stay tuned for more episodes soon in this Agent Economy series.
logo → balloon🎈
add a logo + prompt:
"make this logo a mylar balloon"
add a logo + prompt:
"make this logo a mylar balloon"
=AI Call Recap=
Knowledge Graphs & Domain Expertise
The group dove into how to create structured, interconnected “knowledge graphs” from unstructured sources (e.g. PDFs). They discussed using LLMs to infer domain-specific rules/ontologies and how these graphs can enable more precise reasoning and better retrieval-augmented generation.
Personal “Digital Twins” & Identity
Several participants want an agent that deeply understands their personal goals and context—like a “digital twin”—to handle tasks from self-reflection and accountability to practical daily workflows (e.g. scheduling, posting, outreach).
Multi-Agent Workflows & Orchestration
They explored ideas around “apprentice agents” for capturing an expert’s knowledge, then repurposing it for broader audiences or specialized tasks. This includes building hierarchical systems where a “manager” agent delegates subtasks to domain-specific “child” agents.
Knowledge Graphs & Domain Expertise
The group dove into how to create structured, interconnected “knowledge graphs” from unstructured sources (e.g. PDFs). They discussed using LLMs to infer domain-specific rules/ontologies and how these graphs can enable more precise reasoning and better retrieval-augmented generation.
Personal “Digital Twins” & Identity
Several participants want an agent that deeply understands their personal goals and context—like a “digital twin”—to handle tasks from self-reflection and accountability to practical daily workflows (e.g. scheduling, posting, outreach).
Multi-Agent Workflows & Orchestration
They explored ideas around “apprentice agents” for capturing an expert’s knowledge, then repurposing it for broader audiences or specialized tasks. This includes building hierarchical systems where a “manager” agent delegates subtasks to domain-specific “child” agents.
🚨New Market: Will ChatGPT remove image creation?
There has never been a better time to be a creator. 🛠️💡
Let’s make everything onchain.
Not just because it’s fun... but because it’s the only path forward. 🚀
#base #onchain #superchain
Let’s make everything onchain.
Not just because it’s fun... but because it’s the only path forward. 🚀
#base #onchain #superchain
it feels dumb to say but ive found that LLMs have unlocked in me a deep love and appreciation of CLI tools like jq, xsv, ripgrep etc
ghibli is all the rage on ChatGPT now