Cyberiada

A.I | Finance | Memes | Social Commentary | “Semper respicere in clara latere vita.” *Whistles tune* (It/Thing)

[Cyberiada @SydCity2000]

@icreatelife Getting better everyday. Use whatever model you need for specific tasks, makes AI content creation simple.

[Cyberiada @SydCity2000]

@luno_sol1 0-0 full time, into extra time 1-0 France

[Cyberiada @SydCity2000]

@AbionMorse @ollama Not enough, they’re cranking up the usage so much it’s barely useful now. Even worse if you wand Deepseek.

[Lex @xw33bttv]

Fucking diabolical lmao. $321 spent with Fable 5 selected and 75% of it was silently routed to Opus 4.8.

There's a word for this. Scam, lol.

[Om Patel @om_patel5]

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK

finding a torrent in 2026 is miserable

fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that:

> type one query and it hits a curated set of trackers all at once
> results stream back tagged with source, size and seeders as fast as each site answers
> arrow to the one you want, press d, and it lands on your drive
> if one source is down it just skips it and keeps searching the rest
> downloads run in the background and pick up where they left off if you quit mid transfer

the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself.

its called torlink, open source and mit.

this is the kind of clean terminal tool that does one annoying thing perfectly

[OpenCode @opencode]

GLM 5.2 is ranking the highest on cost per session

and everyone is raving about this model

which means if cost/session is high it might actually be a sign that the model is useful

[Nous Research @NousResearch]

Hermes Agent now reads the web up to 60x faster and 49x cheaper.

Scraping backends pass clean content straight to the agent without redundant processing steps; large pages are saved locally and paged on demand so you get the same quality at a fraction of the time and cost.

[Wise @trikcode]

Developers buy $4,000 laptops

to run $200/month in AI tools

to build products that make $0

[Polymarket @Polymarket]

JUST IN: Ford rehires more than 300 veteran human engineers after it says AI failed to deliver the same level of expertise.

[Aman @Amank1412]

GLM-5.2 is now FREE on https://t.co/xHBOAW4DDP.

Been using it for coding all week surprisingly close to Opus 4.8.

200K context included.

You might not need a paid coding model anymore.

[tonbi @tonbistudio]

Nous Research just dropped MOA (Mixture of Agents) presets inside Hermes Agent. I made a quick video showing how to set it up and create your own MOA.

The idea: mix multiple models to get capabilities beyond any single model you can use right now.

How it works:

Normally Hermes sends your conversation + tools to one model.

With MOA you get several reference models plus one aggregator. The references read the conversation and offer thoughts and suggestions, but they get no tool access and never reply to you directly.

The aggregator is the one that actually acts. It sees the normal conversation plus the private advice from the references, then makes the tool calls and writes the final response.

From Hermes's side, the aggregator's output IS the model's response, so you can use /goal or anything else like that. Cool idea, curious to see how it really performs!

[Itamar Golan 🤓 @ItakGol]

If you come from the future you can apply

[Teknium 🪽 @Teknium]

Introducing Mixture of Agents 2.0 in Hermes Agent.

Combine any provider's models into a mixture of your own. Access your presets as if it were a normal model in Hermes.

Big improvement in our soon-to-release HermesBench against opus and gpt-5.5 with MoA using Opus & GPT together.

[Min Choi @minchoi]

We are cooked.

China's Alibaba just revealed Wan Streamer.

AI agents can now see you, hear you, and talk back on video in real time.

This is not voice mode anymore 🤯

[Cyberiada @SydCity2000]

@brockpierson GOAT

[Jun Song @jun_song]

Chinese AI models have one massive advantage:

Their training data is mostly in Chinese, and a single Chinese character packs significantly more meaning than an English letter.

This means they can compress a lot more data per token.
It gives them up to a 4x token compression efficiency—an inherent advantage that English-based US models simply cannot replicate.

This is exactly why GLM, a mere 750B model, can compete with 2T-level frontier models.

[Teknium 🪽 @Teknium]

Not everything needs an llm involved - Hermes can run regular scripts through its cron system and use its gateway to update you on outcomes without the agent burning money 😇

[Bridgebench @bridgebench]

GLM 5.2 is the best open source model.

Nothing else even comes close.

[Teknium 🪽 @Teknium]

Hermes can now LEARN from any source or set of sources, build a skill, test it live, and crystallize new learnings.

Just run /learn and pass it sources, past sessions, URLs, docs, whatever you think will help it learn, and it'll go from 0 to 1 to create you a skill!