![The image displays a stylized world map with glowing network lines connecting various points, overlaid with numerous small rectangular boxes containing images of people and text labels. Prominently in the center, large blue text reads "AITINKERERS" and "POST-TRAINING", suggesting an informational or promotional graphic.. Text: AITINKERERS
"POST-TRAINING"
PALLADIUM
ELENIOM
BANDICAM
GARDENWARE
MOI AFARLE
ENIGMA
NO FARM IN RAIN CINE PLENIUR
Mianny Hotel
FREELANCE
ALPHONSO
S. Africa
THE FUGA
AL PRUUCE MAGNA COREM ABDUILE BERLLINE ME CEULANTEPIC AN
[numerous other small, unreadable labels and names]](https://sloppy-joe-app.imgix.net/blog_images/post-training-screen-png-7AO1.png?h=475&w=700&fit=crop&auto=format%2Ccompress&q=68)
Community Spotlights • Issue #12
Community Spotlights • Issue #12.
AI Tinkerers - Post-Training
Subscribe to AI Tinkerers - Post-Training
⚡ Air-Gapped OCR + DSPy Vision: Build Better Agents
Leverage air-gapped OCR with DSPy Vision to build better agents.
⚡ AI Gatekeepers + Legislative Monitoring with Gen AI
⚡ AI Gatekeepers + Legislative Monitoring with Gen AI highlights how Gen AI enables gatekeeping and legislative monitoring.
⚡ RapidFire: Hyperparallel Tuning + AI Code Tracking
⚡ RapidFire combines Hyperparallel Tuning with AI Code Tracking.
🤖 Claude Draws + Second Brain API and more
This post covers Claude Draws, the Second Brain API, and more.
On-Device Apple VLM + Windows Speech 🚀
This post highlights On-Device Apple VLM and Windows Speech 🚀.
⚡ Image Downscaling Attacks, Open-source Benchmark for App Gen and more
Image downscaling attacks and an open-source benchmark for app gen offer practical, reproducible research for the community. This update presents hands-on guidance, shared tooling, and benchmarks to help researchers and builders strengthen generation apps together.
⚡ Prompt Hijack + Deterministic Co‑Pilots — See How
⚡ Prompt Hijack + Deterministic Co‑Pilots — See How.
![The image displays a stylized world map with glowing network lines connecting various points, overlaid with numerous small rectangular boxes containing images of people and text labels. Prominently in the center, large blue text reads "AITINKERERS" and "POST-TRAINING", suggesting an informational or promotional graphic.. Text: AITINKERERS
"POST-TRAINING"
PALLADIUM
ELENIOM
BANDICAM
GARDENWARE
MOI AFARLE
ENIGMA
NO FARM IN RAIN CINE PLENIUR
Mianny Hotel
FREELANCE
ALPHONSO
S. Africa
THE FUGA
AL PRUUCE MAGNA COREM ABDUILE BERLLINE ME CEULANTEPIC AN
[numerous other small, unreadable labels and names]](https://sloppy-joe-app.imgix.net/blog_images/swyx-png-6O-h.png?h=475&w=700&fit=crop&auto=format%2Ccompress&q=68)
Your Conversation Is Out Of Distribution
Voice agents rely on multi-turn chats where speech diverges from text; evals help but aren’t enough. Use hands-on testing, repeatable evals, and context engineering; state-machine workflows. A 30-turn Gemini Live benchmark (~75k tokens) shows limits but improved reliability with RAG and prompts; see Hamel’s FAQ and Dex’s context engineering.
⚡ Swift-native agents, micro:bit MPC and Infinite Brainrot -- top demos this week
This week’s top demos feature Swift-native agents, micro:bit MPC, and Infinite Brainrot—an inviting snapshot for the community to explore these projects.