sisco404

We are just an advanced breed of monkeys on a minor planet of a very average star

[NASA @NASA]

Hello, Moon. It’s great to be back.

Here’s a taste of what the Artemis II astronauts photographed during their flight around the Moon. Check out more photos from the mission: https://t.co/rzM1P0QbOl

[Datapizza AI @datapizza_ai]

Datapizza AI v0.1.0 is live 🔥

Agents are now a first-class component — rebuilt from the ground up: new runner architecture, handoffs, hooks, structured outputs, runtime memory, agent descriptions, and agent-as-tool interoperability.

Also shipping:

→ Persistent MCP sessions + Anthropic client memory bug fix
→ WatsonX, Mistral embedder, and latest Gemini models support
→ Redis cache security fix (now JSON-based)
→ Bug fixes, reliability improvements, expanded test coverage

Docs: https://t.co/RJV7imtT29
GITHUB: https://t.co/dojOf1sOFq

[Figure @Figure_robot]

Today we're showing Helix 02 that can tidy a living room fully autonomously

Figure is designed so when you leave the house, your home resets exactly how you like it

[Beff (e/acc) @beffjezos]

Trying to join Moltbook as a human

[Anthropic @AnthropicAI]

On December 8, the Perseverance rover safely trundled across the surface of Mars.

This was the first AI-planned drive on another planet. And it was planned by Claude.

[sisco404 @sisco404]

@datapizza_ai Crazy Cohere v4 Reranker🤯

[Datapizza AI @datapizza_ai]

We ran experiments to answer: Is Contextual Retrieval still worth it in 2026? Tested on 3 datasets, with/without rerankers (Cohere v4 Pro, Qwen3 8B).

Here's what we found → https://t.co/qYftRIbCmv

[Sam Altman @sama]

Congrats to Google on Gemini 3! Looks like a great model.

[sisco404 @sisco404]

@mazeincoding Cursor down

[Datapizza AI @datapizza_ai]

We’re rolling out a new YouTube playlist with step-by-step tutorials for our open-source framework — and it’s just getting started. 🚀

We’re releasing videos gradually, covering everything from setup to advanced workflows, so you can dive deeper into the architecture as the series evolves.

👉 Start here: https://t.co/gH0p8JhdV5

#opensource #developers #AI #tutorials

[Jannik Sinner @janniksin]

Grazie, Torino!!!! 🇮🇹❤️❤️❤️❤️

[sisco404 @sisco404]

@datapizza_ai Let us cook🚀🍕

[sisco404 @sisco404]

Let us cook🍕

[Datapizza AI @datapizza_ai]

Here are the latest updates from our R&D Lab 🚀

Right now we’re exploring advanced RAG techniques — and for proper evaluation, we need datasets that reflect real-world difficulty.

We tested several public datasets:

📍LegalBench

📍MultiHop-RAG

📍LoCoMo

These have been super helpful starting points for evaluation.

As we applied them to our specific use cases, we realized we needed something more tailored to the GenAI RAG challenges we're focusing on — particularly around domain-specific knowledge and reasoning chains that match our clients' real-world scenarios.

So we built a framework to generate custom evaluation datasets that fit our needs.

We now have two internal domain-heavy evaluation datasets + a public one based on the DnD SRD 5.2.1 that we're sharing with the community.

This is just an initial step, but we're excited about where it's headed. We broke down our approach here:

🔗 Blog post https://t.co/OOYnjntpuW
🔗 GitHub repo https://t.co/sclO2dH4LZ
🔗 Dataset on Hugging Face https://t.co/SK2v9t8tMW

Would love to hear your thoughts, feedback, or ideas on how to improve this!
#RAG #dataset #evaluation #GenAI #framework

[sisco404 @sisco404]

Why is Google shipping so hard pt. N😭

[Google Research @GoogleResearch]

Introducing Nested Learning: A new ML paradigm for continual learning that views models as nested optimization problems to enhance long context processing. Our proof-of-concept model, Hope, shows improved performance in language modeling. Learn more: https://t.co/8wvV9vyA5V

@GoogleAI

[Datapizza AI @datapizza_ai]

🚀 Release v0.0.9 is out!

Here’s what’s new in our open-source framework 👇

New features:

- MCP SUPPORT

Fix:

- Added metadata args on parse method (azure and docling),
- Enhanced OpenAIClient init arguments,

DOCS: https://t.co/gcO9M4Lf5t

GITHUB: https://t.co/dojOf1sOFq

#datapizzaai #opensource #MCP

[Luis Batalha @luismbat]

Imagine losing first authorship because you got hit by a blue shell on the last lap 💀

[sisco404 @sisco404]

@datapizza_ai letsgooo 🍕

[Datapizza AI @datapizza_ai]

🚀 Release v0.0.7 is out!

Here’s what’s new in our open-source framework 👇

🔧 Features
- Docling parser: extended to all supported files + flexible OCR configuration

- Bedrock client: now with async support via aioboto3 (and full test coverage)

- New tools
→ web_fetch
→ FileSystem
→ SQLDatabase

- Milvus vectorstore added

Agents: smoother usage & improved UX

🧩 Fixes
- https://t.co/6d0ryt0hCw: accepts list of file paths

- Bedrock async methods: safer error handling

- Node splitter: handles empty cases

- Tool converter & EasyOCR dependency fixes

- Agents: clear user input after first step

- OpenAI client compatibility update (>=2)

💡 Focus of this release: performance, async readiness, and better developer experience.

👉 Full changelog: https://t.co/dojOf1sOFq

#datapizzaai #framework #opensource

[Datapizza AI @datapizza_ai]

Our AI framework is live on Product Hunt! 🚀

A few days ago we launched our open-source framework, Datapizza AI.

And starting today, you can also find it on Product Hunt!

For those who haven’t heard of it yet, Product Hunt is a global showcase for new tech launches: every day users discover, vote for, and discuss new products in the comments.

If you’d like to learn more about our framework, check out our Product Hunt page! Here’s the link 👉 https://t.co/CrFh4Lv5VW

And if you want to support us, give us your feedback! 🙏

#datapizzaai #OpenSource #madeinitaly

[sisco404 @sisco404]

Why is Google shipping so hard😭

https://t.co/uSQ2h3FFrH