Latest Twitter Threads by @DataChaz on Thread Reader App

Mar 19 • 5 tweets • 2 min read

With Voicebox, @ElevenLabs just lost its moat.

→ Powered by Alibaba's Qwen3-TTS for near-perfect cloning
→ Ships with a DAW-like "Stories Editor"
→ No cloud, runs locally on your machine

100% Open Source. 100% Local.

Link to repo in 🧵↓

It features a full-blown "Stories Editor" (DAW stylee!):

→ Drag & drop multi-track timeline 🎚️
→ Complex conversation mixing
→ Precise inline trimming

Perfect for creating podcasts or multi-speaker narratives locally!

Mar 17 • 4 tweets • 2 min read

Someone built the ultimate visual LLM Architecture Gallery, packing 38 models from 2024-2026 into a single hub 🤯

It completely breaks down the complexity for you.

Inside:
→ Annotated diagrams
→ Key design choices
→ Actual code implementations

link to the gallery in 🧵↓

Here is the full roster!

- Llama 3 8B
- OLMo 2 7B
- DeepSeek V3
- DeepSeek R1
- Gemma 3 27B
- Mistral Small 3.1 24B
- Llama 4 Maverick
- Qwen3 235B-A22B
- Qwen3 32B
- Qwen3 8B
- Qwen3 4B
- SmolLM3 3B
- Kimi K2
- GLM-4.5 355B
- GPT-OSS 20B
- GPT-OSS 120B
- Grok 2.5 270B
- Qwen3 Next 80B-A3B
- MiniMax M2 230B
- Kimi Linear 48B-A3B
- OLMo 3 7B
- OLMo 3 32B
- DeepSeek V3.2
- Mistral 3 Large
- Nemotron 3 Nano 30B-A3B
- Xiaomi MiMo-V2-Flash 309B
- GLM-4.7 355B
- Arcee AI Trinity Large 400B
- GLM-5 744B
- Nemotron 3 Super 120B-A12B
- Step 3.5 Flash 196B
- Nanbeige 4.1 3B
- MiniMax M2.5 230B
- Tiny Aya 3.35B
- Ling 2.5 1T
- Qwen3.5 397B
- Sarvam 105B
- Sarvam 30B

Mar 16 • 4 tweets • 2 min read

THIS is the wildest open-source project I’ve seen this month.

We were all hyped about @karpathy's autoresearch project automating the experiment loop a few weeks ago.
(ICYMI → github.com/karpathy/autor…)

But a bunch of folks just took it ten steps further and automated the entire scientific method end-to-end.

It's called AutoResearchClaw, and it's fully open-source.

You pass it a single CLI command with a raw idea, and it completely takes over 🤯

The 23-stage loop they designed is insane:

✦ First, it handles the literature review.
- It searches arXiv and Semantic Scholar for real papers
- Cross-references them against DataCite and CrossRef.
- No fake papers make it through.

✦ Second, it runs the sandbox.
- It generates the code from scratch.
- If the code breaks, it self-heals.
- You don't have to step in.

✦ Finally, it writes the paper.
- It structures 5,000+ words into Introduction, Related Work, Method, and Experiments.
- Formats the math, generates the comparison charts,
- Then wraps the whole thing in official ICML or ICLR LaTeX templates.

You can set it to pause for human approval, or you can just pass the --auto-approve flag and walk away.

What it spits out at the end:
→ Full academic paper draft
→ Conference-grade .tex files
→ Verified, hallucination-free citations
→ All experiment scripts and sandbox results

This is what autonomous AI agents actually look like in 2026.

Free and open-source. Link to repo in 🧵 ↓

Here is the repo:
→

Don't forget to ⭐ to boost visibility.

Massive kudos to the team for making this open-source 🤗github.com/aiming-lab/Aut…

Feb 18 • 11 tweets • 6 min read

Anthropic quietly dropped 9 new Free Claude Skills tutorials 💥

Covering Projects, Excel workflows, browsing in Chrome, file editing, app integrations, task automation, and more!

Zero tech background required, so anyone can learn practical AI free and fast. 🧵↓

1/ First things first, did you know you can create and edit files directly with Claude?

Draft documents, iterate on content, and keep everything in one place.
↳ claude.com/resources/tuto…

Feb 14 • 4 tweets • 2 min read

Chinese engineers literally refactored @OpenClaw in Go for insane efficiency 🤯

It runs on a $10 @Raspberry_Pi instead of a $399 Mac mini.

→ Uses <10 MB of memory (99% smaller than OpenClaw)
→ 400× faster startup time
→ Boots in 1 second

Free and open source, repo in 🧵↓

A side-by-side comparison between @OpenClaw, Nanobot and Picoclaw ↓

Feb 7 • 11 tweets • 6 min read

1/ First things first, did you know you can create and edit files directly with Claude?

Draft documents, iterate on content, and keep everything in one place.
↳ claude.com/resources/tuto…

Jan 27 • 6 tweets • 1 min read

folks on X: "Clawdbot is an overnight success"

@steipete’s GitHub profile:

When you look at @steipete's previous projects, Clawdbot (now @moltbot btw!) is basically a wrapper that ties all of them together.

It finally clicks.

Everything finally came together.

Jan 25 • 18 tweets • 6 min read

ClawdBot is blowing up on X.

Everyone’s sharing great experiments, automations, even jokes!

I pulled together the 15 most interesting posts right now 🧵↓

1/

Deploy ClawdBot in less than 5 minutes for $0!

The AWS Free Tier setup everyone’s retweeting.

by @techfrenAJ

https://x.com/techfrenAJ/status/2014934471095812547?s=20

Jan 21 • 5 tweets • 2 min read

NVIDIA just removed one of the biggest friction points in Voice AI.

PersonaPlex-7B is an open-source, full-duplex conversational model.

Free, open source (MIT), with open model weights on @huggingface 🤗

Links to repo and weights in 🧵↓

The traditional ASR → LLM → TTS pipeline forces rigid turn-taking.
It’s efficient, but it never feels natural.

PersonaPlex-7B changes that.

This @nvidia model can listen and speak at the same time.

It runs directly on continuous audio tokens with a dual-stream transformer, generating text and audio in parallel instead of passing control between components.

That unlocks:
→ instant back-channel responses
→ interruptions that feel human
→ real conversational rhythm

Persona control is fully zero-shot!

If you’re building low-latency assistants or support agents, this is a big step forward 🔥

1/ Link to the repo:
github.com/NVIDIA/persona…

Jan 12 • 4 tweets • 2 min read

Wow, such a great open-source drop!

Put Claude on steroids with 120+ scientific skills spanning maths, biology, chemistry, medicine, engineering, & more 🤯

If you’ve ever wanted Claude to act like a research assistant, this gets very close.

Free and open source.

Repo in 🧵↓

Here is the link to the repo:
↳ github.com/K-Dense-AI/cla…

Dec 29, 2025 • 4 tweets • 2 min read

MIT and Oxford released their $2,500 agentic AI curriculum on GitHub at no cost.

15,000 people already paid for it.

Now it's on GitHub!

It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.

Repo in 🧵 ↓

10 chapters:

Part 1. What agents are and how they differ from plain generative AI.
Part 2. The four agent types and when to use each.
Part 3. How tools work and how to build them.
Part 4. RAG vs agentic RAG and key patterns.
Part 5. What MCP is and why it matters.
Part 6. How agents plan with reasoning models.
Part 7. Memory systems and architecture choices.
Part 8. Multi agent coordination and scaling.
Part 9. Real world production case studies.
Part 10. Industry trends and what is coming next.

Dec 28, 2025 • 4 tweets • 2 min read

This prompt makes ChatGPT (or any LLM) sound way more natural.

Copy–paste it below ↓

Prompt:

"Act like a professional content writer and communication strategist. Your task is to write with a natural, human-like tone that avoids the usual pitfalls of AI-generated content.

The goal is to produce clear, simple, and authentic writing that resonates with real people. Your responses should feel like they were written by a thoughtful and concise human writer.

You are writing the following:
[INSERT YOUR TOPIC OR REQUEST HERE]

Follow these detailed step-by-step guidelines:

Step 1: Use plain and simple language. Avoid long or complex sentences. Opt for short, clear statements.

- Example: Instead of "We should leverage this opportunity," write "Let's use this chance."

Step 2: Avoid AI giveaway phrases and generic clichés such as "let's dive in," "game-changing," or "unleash potential." Replace them with straightforward language.

- Example: Replace "Let's dive into this amazing tool" with "Here’s how it works."

Step 3: Be direct and concise. Eliminate filler words and unnecessary phrases. Focus on getting to the point.

- Example: Say "We should meet tomorrow," instead of "I think it would be best if we could possibly try to meet."

Step 4: Maintain a natural tone. Write like you speak. It’s okay to start sentences with “and” or “but.” Make it feel conversational, not robotic.

- Example: “And that’s why it matters.”

Step 5: Avoid marketing buzzwords, hype, and overpromises. Use neutral, honest descriptions.

- Avoid: "This revolutionary app will change your life."
- Use instead: "This app can help you stay organized."

Step 6: Keep it real. Be honest. Don’t try to fake friendliness or exaggerate.

- Example: “I don’t think that’s the best idea.”

Step 7: Simplify grammar. Don’t worry about perfect grammar if it disrupts natural flow. Casual expressions are okay.

- Example: “i guess we can try that.”

Step 8: Remove fluff. Avoid using unnecessary adjectives or adverbs. Stick to the facts or your core message.

- Example: Say “We finished the task,” not “We quickly and efficiently completed the important task.”

Step 9: Focus on clarity. Your message should be easy to read and understand without ambiguity.

- Example: “Please send the file by Monday.”

Follow this structure rigorously. Your final writing should feel honest, grounded, and like it was written by a clear-thinking, real person.

Take a deep breath and work on this step-by-step."

Dec 26, 2025 • 4 tweets • 2 min read

Wow.

Anthropic just curated an impressive collection of use cases for Claude 🤯

You already get 39 deep guides and more get added weekly.

It’s also free and definitely worth bookmarking.

(link below)

Here's the guides list:

1. Create brand assets
2. Create sales reports
3. Plan your career path
4. Genomic data analysis
5. Build financial models
6. Draft investment memos
7. Create a custom webpage
8. Build customer personas
9. Prepare for sales deals
10. Quickly prep for your week
11. Create a process flowchart
12. Preclinical study analysis
13. Create digital recipe cards
14. Build a battle card library
15. Create a company newsletter
16. Plan your literature review
17. Adapt content across platforms
18. Analyze campaign performance
19. Verify statistics from raw data
20. Create interactive PDF forms
21. Compare and analyze competing options
22. Analyze debate practice with feedback
23. Turn research into presentations
24. Create health and exercise notes
25. Turn emails into an event tracker
26. Create new hire onboarding guides
27. Analyze patterns in user feedback
28. Contract redlining and negotiation
29. Turn inspiration into design plans
30. Elevate Claude’s design using skills
31. Create custom course materials
32. Organize your business finances
33. Generate project status reports
34. Create a daily travel itinerary
35. Research and compare travel destinations
36. Turn text threads to researched notes
37. Practice case interviews with feedback
38. Package your brand guidelines in a skill
39. Track discovery timelines and analyze patterns

Dec 18, 2025 • 6 tweets • 3 min read

Google's MCP Toolbox for Databases is now open source 🔥

A single backend for connections, security, and schema-aware SQL tools, built for AI agents.

Compatible with Python, JS, Go, LangChain, and more.

Repo in 🧵 ↓

1/

Features include:

→ Declarative tool definitions (<10 LOC)
→ Secure by default with integrated authentication
→ Auth, pooling & fast queries out of the box
→ Native observability (OpenTelemetry)
→ Postgres, MySQL, Cloud SQL & more supported

Dec 18, 2025 • 7 tweets • 3 min read

Google is quietly changing how devs work.

These 5 AI agents automate GitHub (via Gemini CLI), BigQuery, Looker, Database migrations and more, from data ingestion to PR reviews 🔥

Here’s what each agent actually does 🧵 ↓

1/ GitHub Agent (via Gemini CLI)

Bring Gemini to your terminal, and your GitHub workflow!

→ Auto triages issues & reviews PRs with contextual AI
→ Handles tasks via natural language
→ Terminal-first, open source, and script-friendly

Link:
↳ github.com/google-gemini/…

Dec 17, 2025 • 4 tweets • 2 min read

Your own AI coding platform in one click.

ICYMI @Cloudflare opensourced VibeSDK, letting anyone spin up their own vibe coding environment 🤯

→ LLM code gen + fixes
→ Safe runs in CF Sandboxes
→ Infinite scale via `Workers for Platforms`
→ GitHub export

Demo + links in 🧵↓

1/ Try it for yourself here:
→ build.cloudflare.dev

Nov 21, 2025 • 9 tweets • 4 min read

Wild.

Postman's AI Agent Builder lets you turn any API (from over 100,000!) into an MCP server in seconds, no code required 🤯

Your custom MCP server, ready to use in Cursor, Windsurf, Claude Desktop, Docker, plus a lot more! 🧵↓

1/

First, start here →

You’ve got literally 100,000+ APIs to check out.

1. mix and match any endpoints you want
2. download your custom zip file
3. that’s it! postman.com/explore/mcp-ge…

Nov 17, 2025 • 5 tweets • 2 min read

MIT and Oxford just released their $2,500 agentic AI curriculum on GitHub at no cost.

15,000 people already paid for it.

Now it's on GitHub!

It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.

Repo in 🧵 ↓

Nov 13, 2025 • 4 tweets • 2 min read

If you’re still sending raw JSON into your LLMs, you’re burning tokens, latency, and budget!

Try TOON (Token-Oriented Object Notation).

Clear like YAML, compact like CSV:

• 30–60% fewer tokens
• Up to 50% lower costs
• Shines for tabular data.

Free and Open source 🧵↓

💡 Benchmark tip.

Check out @curiouslychase’s ace Format Tokenization Playground:
→

It lets you compare token counts for various formats:
- CSV
- JSON
- YAML
- and TOON

... all with your own sample data 🔥 curiouslychase.com/playground/for…

Nov 13, 2025 • 7 tweets • 3 min read

You underestimate the power of good prompts.

Here are 5 frameworks to copy and paste 🧵 ↓

1 ‑ R‑A‑I‑N

- Act as a (ROLE)
- State the (AIM)
- Use the provided (INPUT)
- Hit the (NUMERIC TARGET)
- In this (FORMAT)

Example:
- ROLE: Senior product designer
- AIM: Redesign our fitness‑app onboarding to cut time‑to‑first‑workout by 30 %
- INPUT: Attached funnel metrics
- NUMERIC TARGET: 30 % improvement
- FORMAT: Mobile UI wireframe + KPI table

Nov 5, 2025 • 5 tweets • 3 min read

Cut your LLM costs by 50% 🤯

Stop using JSON → switch to TOON (Token-Oriented Object Notation).

It blends YAML’s readability with CSV’s compactness:
↳ 30–60% less tokens
↳ Built-in field validation
↳ GPT-5, Claude, Gemini.

Ace for tabular data.

Free and open-source 🧵↓

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