A fully offline translator, built with @GoogleGemma 4, @Antigravity, and a @Raspberry_Pi 5. 🛠️
The Gemma Translator is a portable AI experiment with a custom interface, printed case, and wired electronics, powered by the smallest Gemma model.
Build your own → https://t.co/lnlMweIObs
AI coding agents aren't just autocomplete anymore.
A new study analysing 180M+ Git repositories found hundreds of thousands of agent-attributed commits per month.
The interesting part isn't the number.
It's what happens next. #agents#orchestration
We're going to need a new way of thinking about APIs for AI agents.
Not just: "What can this tool do?" But: "What is this agent allowed to do?"
Read. Write. Execute. Deploy. Pay.
Agent capabilities need explicit permission boundaries.
The complete DiffusionGemma technical report is officially live!
We're sharing our full process and insights to help the community explore the incredible potential of text diffusion.
We’re excited to see how this approach drives new research and applications.
One habit every AI team should adopt: Keep a "golden dataset."
Every time you change:
• the model,
• the prompt,
• retrieval,
• or tools...
Run the same evaluation set again. If you can't measure improvement, you're probably just hoping for it.
I think one of the most underrated components in modern AI systems is the Reranker.
Search finds candidates. Reranking decides what the model actually sees.
If retrieval is weak, even the best LLM starts with poor evidence.
#llm#model#reranker
@TechByTaraa Because web architecturing, scaling, and deployment in easiest compared to Mobile, Desktop, and IoT.
Dealing with OS native APIs is intense.
AI Engineering Myth:
"More agents = better AI." Not necessarily.
Every new agent adds:
- More prompts
- More latency
- More cost
- More coordination
Sometimes the best architecture is: One capable agent. Many capable tools.
@googlegemma It's becoming obvious that Open Weights is the future, and with Calibration-aware Quantization, that is the game changer for EdgeAI implementation and deployment.
One thing AI coding agents taught me in a better way:
Best agents don't read everything. They read the right things at the right time.
Search → Read → Reason → Act → Repeat.
Dynamic context beats massive context.
#ai#context#agentic
The best way to learn AI is to work at an AI startup.
On August 15, we're inviting ambitious students to YC HQ to meet founders and engineers from 50+ YC companies.
Roam the expo hall to meet founders (and collect swag), startups pitch you, interview onsite, and land your Summer 2027 internship – co-ops and more.