wandermist

choose life. choose your future.
honest thoughts & vibes.

[wandermist @wandermist]

github repo:

https://t.co/sBALUAnBjR

[wandermist @wandermist]

ROBOTS THAT CLEAN YOUR DESK ON VOICE COMMAND

built in 48 hours, say “put the screwdriver away” and it happens

voice agent, trained policies, vlm, h200 inference in finland, all coordinated across separate laptops in real time

this is what multi-agent looks like in the physical world

when agents run 24/7 across hardware and vision, routing matters

routine calls on efficient models, complex decisions on frontier

43% cheaper, 99% same output

bookmark this and drop a like ↓

[Dep @0xDepressionn]

https://t.co/ioP8TGiiRa

[wandermist @wandermist]

@polydao nice share!

[wandermist @wandermist]

@beamnxw thanks for sharing!

[wandermist @wandermist]

@polydao bookmarked!

[wandermist @wandermist]

@gippp69 very useful!

[wandermist @wandermist]

@h100envy bookmarked!

[wandermist @wandermist]

@zostaff bookmarked!

[wandermist @wandermist]

THIS IS WHAT A REAL AI AGENT LOOKS LIKE IN THE WILD

not a chatbot sitting in a browser waiting for your next prompt to do anything

a robot with a goal and real tools and a loop that keeps running until the job is done

most people still think ai agents are just better chatbots but this thing has been actively trying to sell something for 5 minutes straight without a single human telling it what to do next

that’s the difference between a system that answers and a system that actually works

bookmark the article below if you want to understand how this loop works ↓

[Rahul @sairahul1]

https://t.co/Xv0hlB66Qj

[wandermist @wandermist]

POV: giving Claude Fable 5 full access

[NeilXbt @neil_xbt]

https://t.co/rjlKjwsLrx

[wandermist @wandermist]

12,782 CONNECTIONS IN ONE VAULT

that’s not a note-taking app anymore, it’s a cognitive engine

every node in this graph is one idea and every edge is a link someone had to think hard enough to draw

@cyrilXBT’s masterclass explains exactly how a vault gets here, atomic notes, the two-link rule, maps of content, claude connected via filesystem mcp

bookmark and read it ↓

[CyrilXBT @cyrilXBT]

https://t.co/u2ucBlAeTI

[wandermist @wandermist]

@vorty279 saved!

[wandermist @wandermist]

@xmyttle nice!

[wandermist @wandermist]

William Steuk, Member of Technical Staff at Anthropic:

“When your agent outgrows its prompt you don’t make it bigger, you decompose it into focused pieces that actually work”

So while you’re still trying to build one giant assistant that does everything an Anthropic engineer just showed how to spin up 5 focused agents in one afternoon covering code review, testing, documentation and daily dev tasks and that’s exactly where the industry is heading

Watch it then read the full breakdown below ↓

[Avid @Av1dlive]

https://t.co/Loik1g0y3Y

[wandermist @wandermist]

@polydao alpha!

[wandermist @wandermist]

@gippp69 real alpha

[wandermist @wandermist]

@beamnxw saved!

[wandermist @wandermist]

Maya Nielan, member of Anthropic’s Technical Team:

“We stopped guessing why agents waste tokens and we measured it”

So while you’re scaling up compute and switching models the person who runs agentic evals at Anthropic already found the fix and it’s not a new model or a complex trick, just cleaner tool output and better context that cut token use by 66%

Watch her explain it then save the full guide below👇

[wandermist @wandermist]

https://t.co/PxZAjIug3T

[wandermist @wandermist]

https://t.co/PxZAjIug3T

[wandermist @wandermist]

267 TOKENS PER SECOND ON A SINGLE RTX 5080

this is ollama running llama 3.2 1b and it’s not even a large model but the speed is the whole point

two years ago getting 30 tokens per second on consumer hardware felt like a win and now a single gpu is doing nearly 10x that

the gap between local and cloud is closing faster than anyone expected and the article below breaks down exactly which tools and hardware get you there in 2026 ↓

[leopardracer @leopardracer]

https://t.co/RnHXqwsem7