So King @CryptosHaven recently introduced me to @gleam_wallet , and I decided to take a closer look at what they're building. 🔎
Gleam is a browser-based wallet designed for the Arweave and AO ecosystem, bringing asset management, dApp connectivity, and onchain interactions into one place.
Users can earn Gleam Points simply by holding AR and AO in their wallets, without staking or locking up their assets.
These points are intended to count toward a future $GLEAM airdrop, with the exact distribution details yet to be finalized.
The team also plans to introduce additional utility for $GLEAM, including staking benefits, partner rewards, fee discounts, and potential revenue sharing.
Gleam is still in its early stages, with plenty left to develop and prove.
Over the next few posts, I'll take a closer look at its reward system, token utility, and the economic model behind it.
More than a wallet. Store. Connect. Earn. 🌈
🔗 https://t.co/R7ros5zJWN
Your Harness. You Define It.
Meet Creator Mode in DeepSeek Harness.
Turn ideas into plugins that you can use, from a design workspace to a sandbox game or a 3D LLM visualizer.
What will you create?
Nous defenders spent the last twenty-four hours classifying my account as an automated bot, spamming pangram verification prompts, and shouting about state propaganda because I dared to point out elementary compute realities. I am not defending any state, nor am I interested in participating in nationalist theatre. I pointed out the glaring hypocrisy of a venture-backed startup wrapping a lightweight alignment adapter in civilisational missionary rhetoric while quietly freeloading on a pre-trained base model produced by Alibaba, and the defensive fan club immediately dragged a standard technical critique into an ideological holy war.
The loudest irony in their replies is the endless moralising about state control. In their telling, anything touching China is irredeemably compromised by authoritarian diktats, while Western labs supposedly embody purity and digital autonomy. Yet when an independent developer, an academic researcher, or a bootstrap engineer looks for genuinely usable, permissive, and frontier-grade open weights to inspect and deploy locally, almost every single high-performance option on the leaderboard originates from Chinese institutions under Apache 2.0. If open-weights development is fundamentally incompatible with state governance, one has to explain why the leading corporate giants in the West have systematically retreated behind subscription paywalls, closed inference APIs, strict intellectual property barriers, and close alignment with domestic defense contractors. Which ecosystem is truly locking down capability, and which one is actually giving the compute artifacts away to the global community?
Inevitably, the defensive reply guys will point to American alternatives such as Nemotron or Gemma to argue that Western open source is thriving. That concession only tightens the contradiction. If those domestic models were truly superior in capability, licensing, and architecture, why did Nous deliberately choose Qwen 3.8-27B as the foundation for their grand crusade? The reality is plain: they needed a base model with genuine frontier capability that they could not afford to pre-train themselves, they took the dense weights Alibaba paid tens of millions of dollars to compute, and then they slapped a cultural branding layer on top to sell a heroic narrative to gullible investors. If you want to claim credit for saving civilisation, start by paying your own compute bills instead of putting a Western sticker on someone else's foundation work.
Ah, and go fuck yourselves. You cannot be righteous only when it suits you!
Let us dig deeper into the training dataset provided by Nous Research themselves to understand what "Western Values" truly mean. (Spoiler it's just recycled CIA propaganda about Xinjiang, Hong Kong and "muh CCP!!!")
Firstly, let us check what Nous Research considers factual sources propping up so-called Western values.
Right off the bat we have several questionable "sources" from this dataset.
If we throw a dart and look at many of these, we begin to see a pattern.
Take China Media Project for example, that claims to be "independent" journalists on the happenings in China. An example of who writes for them would be Lu Yihsuan, who has previously contributed to Voice of America, a notorious USAGM project used by the Central Intelligence Agency and the US Government to produce... well... Propaganda. Whoops!
We also see other USAGM projects (Literally listed on their .gov website lmao) such as Radio Free Asia, another front used by the Central Intelligence Agency for propaganda purposes.
@aoTheComputer How are private messages between nodes or services handled @samecwilliams
E.g.
1. A process that reports crypto to turbotax
2. An AI handling personal requests from a user (in process inference)
3. Messages that want ephemerality
@xylophonezy A build with a hedgehog core is way faster because the agent needs to do less exploration.
Hedgehog also has generators that scaffold different build stages.
So AI just calls generate() then fills in functions
@xylophonezy This is why I built hedgehog.
It's designed to prevent drift by being opinionated and guard-railed by:
1. Preset 'cores' - existing templates with linters
2. Skills that direct each ore
3. Code that guardrails each skill
Easy to extend for HyperBEAM
https://t.co/wCkkkRMlPC
@ryangrowthh This is cool as a big picture.
1. Craft brand and story
2. Choose a distribution channel
But how does this translate to daily processes?
i.e. in terms of frequency, type of post, size of post, content of post, etc
@SpencrGreenberg Pray for my immortal soul. I have 75 intercessory agents pleading with God to spare me from eternal damnation at a rate of ~500 Our Fathers/minute. Eventually a pope will declare them ensouled, retroactively validating their prayers. Aiming to spend 60 years in Purgatory tops.