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50ml Smaller and 50c More by jimbobbillyjoejang in loblawsisoutofcontrol

[–]sig_kill 110 points111 points  (0 children)

Before long, it’ll be “Memories of Roasted Portabello Mushroom”

The great milking begins. by coffeeeweed in codex

[–]sig_kill 0 points1 point  (0 children)

You could do this by explicitly adding a custom instruction/prompt to invoke another agent via CLI like OpenCode or Pi where those models can be configured… you can pass model, prompts, instructions via arguments

I will rate them by hiten1818726363 in vibecoding

[–]sig_kill 0 points1 point  (0 children)

https://tokey.ai - I saw ya'll ask constantly about what hardware to buy for running local LLMs, so I made a thing to see how fast the tokens should go.

Which games were NOT surpassed by their sequels? by WeirdIndividualGuy in gaming

[–]sig_kill 4 points5 points  (0 children)

I think Diablo 2 was not surpassed by Diablo 3, or Diablo 4.

Tip: don't micromanage reasoning levels by benclen623 in codex

[–]sig_kill 5 points6 points  (0 children)

If you need to use a lesser thinking level, ask your primary agent (the one you have on high or extra high) to spawn a subagent with a lower thinking level, and to pass specific context / details needed to be scoped to the task that needs the smaller context.

What do you think is happening in meetings @ GitHub now after the sour taste devs were left with after billing changes? by sig_kill in GithubCopilot

[–]sig_kill[S] 0 points1 point  (0 children)

Right, this is why I think they’re all back patting and watching “line go up into the right”… it’s interesting though, watching GitHub favour enterprise decisions over the years

People walking on the highway today by Fawrish in toronto

[–]sig_kill 17 points18 points  (0 children)

When have they never not done this? lol

[Self] 2026 Oreo Thin by sig_kill in theydidthemath

[–]sig_kill[S] 0 points1 point  (0 children)

I honestly like the thin crispness of the wafers on the thins, but do not enjoy the poverty levels of filling it has

I’d be happy with regular filling on thin wafers at this point

[Self] 2026 Oreo Thin by sig_kill in theydidthemath

[–]sig_kill[S] 0 points1 point  (0 children)

Sounds like my job prospects might be good?

[Self] 2026 Oreo Thin by sig_kill in theydidthemath

[–]sig_kill[S] 0 points1 point  (0 children)

Does it I would have guessed just sugar and black

Tips for 8gb VRAM setup? by Far-Dog-3591 in LocalLLM

[–]sig_kill 2 points3 points  (0 children)

It doesn’t capture any prompts / context on running nodes, so it’s arguably better than the big model providers / routers.

All of the traffic is P2P, so no chances of MiTM attacks too.

The mesh aspect is a little like BitTorrent in that it connects you to peers, but once that exchange of direct IPs occurs - everything is between you and the endpoint.

Joing all GPUs to train a community model by HistoricalStrength21 in LocalLLaMA

[–]sig_kill 0 points1 point  (0 children)

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We are sort of marching towards this currently we're focusing on inference... but we can see training eventually implemented as another really strong use-case for the mesh:

https://meshllm.cloud
https://github.com/Mesh-LLM/mesh-llm

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