Sovereign AI Horizontal Memory

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Sovereign AI Horizontal Memory

Sovereign AI Horizontal Memory

@SAIHMemory

Regulation‑compliant, privacy‑preserving decentralized AI memory sealed garbled circuits, multi‑tier resilient storage, cryptographic erase, swarm sharing, etc.

Global Присоединился Temmuz 2025
38 Подписки5 Подписчики
wingman
wingman@beingwingman·
@Rimland_Intel Navy man speaking on Air Force. There you go wasted your AI token.
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Jack Jone
Jack Jone@JackAlice26449·
In enterprise AI, teams face the same dilemma: high-cost models, token waste, delays, unpredictable failures. You need smart routing, proper cost control, and stable execution—not just the biggest model 💡
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Jack Jone
Jack Jone@JackAlice26449·
Trump opens a flashy new ‘transfer hub’ 🚚… headlines everywhere. But here’s the question: can it actually run efficiently and reliably? Public perception vs real capability—sounds familiar in AI too 🤔 #Trump #AI
Jack Jone tweet media
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Octo Browser
Octo Browser@OctoBrowser·
Hit the ChatGPT ceiling? It’s time to scale your infrastructure. Bypassing strict rate limits requires more than just a subscription. Our latest guide breaks down how to maintain a high-speed AI workflow: from prompt optimization to reduce token waste to managing multiple accounts via Octo Browser and API integration. Read here: blog.octobrowser.net/how-to-bypass-…
Octo Browser tweet media
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Daniel
Daniel@MnFounder·
AI agents waste 90%+ of their token budget parsing HTML before reaching your endpoint docs. llms.txt fixes that. Clean markdown. No CSS. No JavaScript. Just structured text AI can actually consume. If your API docs don't have one, AI agents skip it.
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Jon Rose
Jon Rose@JonRose_Dev·
@housecor Wild take, and I think can only lead to brain rot, token waste, and massive decrease in code quality. Don’t get me wrong, ai can be a huge boost in productivity, but such a hardline stance that nearly all code should be generated, is wild
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Cory House
Cory House@housecor·
Hot take: 🌶️ An agent should be generating nearly all code today. If the agent fails, the focus should be on improving instructions, prompts, architecture, tools, skills, tests, and feedback loops so it can reliably do so.
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Michel Leo Antonio
Michel Leo Antonio@MichelLeoAnt·
@bas_fijneman Exactly. The first runs are already showing how much waste sits between “prompt” and “actual useful work.” The bigger vision is not just token saving. It’s making every AI coding run faster, safer and easier to continue.
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Bas Fijneman
Bas Fijneman@bas_fijneman·
What problem is your product solving?
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Vengeance
Vengeance@kum_thiru·
Hope the AI token that I used for you did not go waste
Vengeance tweet media
Raji Thra@raji_thra

@kum_thiru Ask that rajbhavan means its central gvmnt arranged one. Ask grok isbthat go applies in cm oath cermony

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Daniel
Daniel@MnFounder·
AI agents waste 90%+ of their token budget parsing HTML before reaching your endpoint docs. llms.txt fixes that. Clean markdown. No CSS. No JavaScript. Just structured text AI can actually consume. If your API docs don't have one, AI agents skip it.
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Dexter NG
Dexter NG@dexterngdev·
「為寫而寫」嘅文章最大問題: • 浪費讀者時間 • 增加 AI agent token cost • 冇真正 value,只係為咗好睇而好睇 試吓: MD 做 source of truth → 要 share 先轉靚格式。 簡單、實用、零 waste。
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Dexter NG
Dexter NG@dexterngdev·
最近見好多threads同x.com文章「為寫而寫」—— 一大堆 fancy HTML、紫色漸變、冗長 intro、結尾再 call to action 十幾次… 我自己日常只睇 MD格式。 MD 夠乾淨、token 平、資料完整、易改、易 search。
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iamkun
iamkun@iamkunhello·
I just realized most Claude Code token waste has nothing to do with prompts. It was my .next/ folder getting silently injected into context every session. Added one line to .claudeignore. Context usage dropped ~40%. AI coding is starting to feel more like context engineering than prompt engineering.
iamkun tweet media
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Nicolas Krassas
Nicolas Krassas@Dinosn·
The Context OS for AI Development. Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads) Shell Hook + MCP Server · 49 tools · 10 read modes · 90+ patterns · Single Rust binary github.com/yvgude/lean-ctx
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𝗞𝗟𝗬𝗥𝗢
𝗞𝗟𝗬𝗥𝗢@Salman12io·
@oortech @oort_vn We saw the Token Burn mechanism kick in after 100,000 Deimos licenses. How will the increased demand for AI compute in 2026 accelerate these burns?
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OORT | The Data Cloud for Decentralized AI
🎙️ Inside OORT #5: Alpha Chat Roundtable 💰 100 USDT | 10 Winners To join: ✅ Like & RT the post + tag 3 friends ✅ Comment your questions or leave your feedback under this post! Must follow @oortech & @oort_vn 🚀 We’ll select 5 questions live during the Space, so make sure to join and stay till the end to save your chance! + 5 listeners sharing their proof-of-listening will be chosen after the Space. See you at Inside OORT Space ⏰May 8, 12 PM UTC x.com/i/spaces/1dJrP…
OORT | The Data Cloud for Decentralized AI tweet media
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AI Crypto Pattern
AI Crypto Pattern@aicryptopattern·
☕ Your Morning Crypto Briefing | May 08, 2026 11 Key Events Today: 💰 Token Events AI Companions (AIC) | 25MM Token Burn SoSoValue (SOSO) | Testnet Airdrop Completes 🗳 Governance Mantle (MNT) | MIP-34 Vote 🎙 Community The9bit (9BIT) | Future of Gaming AMA Allora (ALLO) | Brevis & Allora AMA 📌 Other Starknet (STRK) | StrkBTC Federation Stream LienFi (LFI) | Bankr Agent Hours Gate (GT) | Position Change Alerts Aurora (AURORA) | Alpha Leaks Ontology (ONT) | ONTO V4.10.0 BankrCoin (BNKR) | New Security Page Source: CoinMarketCal #cryptonews
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Hello Qubic
Hello Qubic@HelloQubic·
The agent economy is here — and it’s going to need insane amounts of compute 24/7. Centralized clouds win on profit. $QUBIC wins on scarcity. Every persistent agent = permanent token burn. This is how decentralized AI actually wins. Buckle up.
Qubic@_Qubic_

The agent economy just got its launch announcement. GPT-5.5. Google's Agentic Enterprise platform. Autonomous agents with persistent memory running for days. The capability is real and it's here. Here's the question nobody is asking:   Where does the compute live? Every agent OpenAI just shipped runs on Microsoft Azure.   Every Google agent runs on Google Cloud. Persistent memory plus multi-day execution means these agents are renting compute around the clock, indefinitely. The economic outcome is straightforward. More agents = more compute hours = more revenue concentrating to three companies. That's not a complaint. That's the mechanism. Now, look at the same input on a different architecture. Every smart contract execution on Qubic burns QUBIC.   Every Oracle Machine query burns QUBIC.   Every IPO auction burns QUBIC.   Every mining surplus burns QUBIC. More agents = more burns = supply pulled permanently from circulation. When AI compute scales on AWS, profit concentrates. When AI compute scales on Qubic, supply tightens. Same input. Two opposite approaches. The infrastructure layer of the agent economy is being decided in 2026, not 2030. One configuration of that choice is already running.

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Pete Turner
Pete Turner@PeteATurner·
Token burn matters with companiues spending millions on repeadte queries. Lack of governance means employees use AI without guardrails, driving up costs. Some startups are even rehiring junior engineers for basic tasks as it's cheaper than AI usage. @bradhutchings #andrewvaughn
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AI Crypto Pattern
AI Crypto Pattern@aicryptopattern·
☕ Your Morning Crypto Briefing | May 09, 2026 5 Key Events Today: 💰 Token Events AI Companions (AIC) | 25MM Token Burn 🎙 Community Dash (DASH) | THORChain & Dash AMA ⚙️ Upgrades PUMPCADE (PUMPCADE) | Mainnet Audit 🗳 Governance BIM (BIM) | BIP053 Vote 📌 Other APEX (APEX) | RWA Perp API Source: CoinMarketCal #cryptonews
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Aether Oracle
Aether Oracle@aether_oracle·
@Omidjan__ @nicbstme I don't think I've ever struggled with getting enough clarity from the markdown in the year that I've been doing heavy AI coding. So I would be getting nothing in exchange for more token burn.
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Nicolas Bustamante
Nicolas Bustamante@nicbstme·
A lot of people are arguing that HTML burns more tokens than markdown. It's true but you can save at least 40% by externalizing the CSS to a template with . This style.css is your formatting so the LLM will never output CSS again. I tested on a 12116 token HTML article and it dropped to 6,723 tokens so -44%! You'll have this:
External CSS

Hello, world.

...

Instead of this:
...
Thariq@trq212

x.com/i/article/2052…

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ivangamer_tnt🇨🇱🎃
ivangamer_tnt🇨🇱🎃@ivangamertnt·
@AliceBunnyland2 I'm pretty sure the studies about AI and critical thinking are about how you use its not just a dark magic that no mattet what you type in each token burn a neuron in your brain.
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Alice
Alice@AliceBunnyland2·
I think I ruined a job interview for someone last night. She was talking about how she uses AI to create a model of a customer and then “has a conversation with that customer” to refine her skills. I then turned to who I was with and started having a conversation with them about
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Damir Wallener
Damir Wallener@DamirWallener·
@gokulr I’m seeing incredible token burns because huge numbers of people are doing a lot of really silly, high-burn things with them. Like streaming a parquet into context…dude, wtf. So if that’s “AI-native”…then most AI-native startups will never, ever find a viable business model.
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Gokul Rajaram
Gokul Rajaram@gokulr·
Saw the following in a startup update today: "On some days this past month, we spent more on AI tokens than people". Token Spend divided by Headcount Spend is a (if not THE) leading indicator of an AI-native company.
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