Advice on getting safety tickets - new to the industry

Hi everyone, looking for advice on which safety tickets are worth getting to land work in here, currently I am working in retail in Thick wood.

I have

  • Full Class 5 licence
  • Can lift 90 lbs, comfortable with physical work
  • Able to live in camp / work rotation shifts
  • Can do permanent or short contract

Which tickets should I get first ? Which jobs are urgently hiring, Are there any that employers will just pay for once you're hired, so I don't waste money upfront? Thanks.

reddit.com
u/OkSpecific3137 — 12 days ago
▲ 5 r/AI_India+1 crossposts

R-457 — a 27M-parameter reasoning model running entirely offline across two ESP32-S3 boards.

**What it does:** answers questions from a 792-key knowledge bank on SD, calls on-chip tools for arithmetic and counting, refuses honestly when the facts don't support an answer, writes grounded paragraphs, and learns new facts. https://github.com/harmansingh4163-ai/R-457.git

github.com
u/OkSpecific3137 — 18 days ago

Guys, is Edmonton getting non stop rain and Fort McMurray getting non for past 2 weeks is a dangerous development? accounting for El Niño spose to happen in July.

reddit.com
u/OkSpecific3137 — 2 months ago

LLM for the ESP32-S3 — the difference here is that it's running Stories42 million , a tiny language model (42 million parameters). First generative (not narrow) ai running on esp 32 s3 pair.

https://github.com/harmansingh4163-ai/ESP-32-s3-Story-maker-LLM.git

LLM for the ESP32-S3 — the difference here is that it's running Stories42 million, a tiny language model (42 million parameters), split across two ESP32-S3 boards.

It creates coherent stories from a few starting words. Here I typed "Once upon a time there was a sheep and a pig" and it wrote the rest of the story by itself — you can set places, emotions, and character behavior too.

All computing happens locally on the boards, and it runs independently of a PC (serial terminal for now; GUI is planned). The goal from here: use this as the base for ESP32-S3 LLMs with better reasoning and more diverse knowledge.

https://youtu.be/6uRRoKahXMA - Here, I used 15 million, which is twice the speed, but the quality is worse.

reddit.com
u/OkSpecific3137 — 2 months ago

LLM for the ESP32-S3 — the difference here is that it's running Stories42M, a tiny language model (42M parameters)

https://github.com/harmansingh4163-ai/ESP-32-s3-Story-maker-LLM.git

 

LLM for the ESP32-S3 — the difference here is that it's running Stories42M, a tiny language model (42M parameters), split across two ESP32-S3 boards.

It creates coherent stories from a few starting words. Here I typed "Once upon a time there was a sheep and a pig" and it wrote the rest of the story by itself — you can set places, emotions, and character behavior too.

All computing happens locally on the boards, and it runs independently of a PC (serial terminal for now; GUI is planned). The goal from here: use this as the base for ESP32-S3 LLMs with better reasoning and more diverse knowledge.

https://youtu.be/6uRRoKahXMA - Here, I used 15M, which is twice the speed, but the quality is worse.

u/OkSpecific3137 — 2 months ago
▲ 0 r/esp32

Yes, another vibe-coded LLM for the ESP32-S3 — the difference here is that it's running Stories42M, a tiny language model (42M parameters)

https://github.com/harmansingh4163-ai/ESP-32-s3-Story-maker-LLM.git

Yes, another vibe-coded LLM for the ESP32-S3 — the difference here is that it's running Stories42M, a tiny language model (42M parameters), split across two ESP32-S3 boards.

It creates coherent stories from a few starting words. Here I typed "Once upon a time there was a sheep and a pig" and it wrote the rest of the story by itself — you can set places, emotions, and character behavior too.

All computing happens locally on the boards, and it runs independently of a PC (serial terminal for now; GUI is planned). The goal from here: use this as the base for ESP32-S3 LLMs with better reasoning and more diverse knowledge.

https://youtu.be/6uRRoKahXMA - Here, I used 15M, which is twice the speed, but the quality is worse.

u/OkSpecific3137 — 2 months ago
▲ 4 r/u_OkSpecific3137+2 crossposts

Yes, another vibe-coded LLM for the ESP32-S3 — the difference here is that it's running Stories42M, a tiny language model (42M parameters)

https://github.com/harmansingh4163-ai/ESP-32-s3-Story-maker-LLM.git

Yes, another vibe-coded LLM for the ESP32-S3 — the difference here is that it's running Stories42M, a tiny language model (42M parameters), split across two ESP32-S3 boards.

It creates coherent stories from a few starting words. Here I typed "Once upon a time there was a sheep and a pig" and it wrote the rest of the story by itself — you can set places, emotions, and character behavior too.

All computing happens locally on the boards, and it runs independently of a PC (serial terminal for now; GUI is planned). The goal from here: use this as the base for ESP32-S3 LLMs with better reasoning and more diverse knowledge.

https://youtu.be/6uRRoKahXMA - Here, I used 15M, which is twice the speed, but the quality is worse.

u/OkSpecific3137 — 2 months ago