based lime 🐇🕳

@ZAMM_DEFI is quietly shipping one of the most innovative onchain infra layers in crypto. • ERC-6909 core (co-authored by Paradigm) • Multi-token, NFT-native • Zero-dev launches • Transparent LP & orderbook This isn’t another memepad. This is a new primitive.

Crypto founders love talking about trust. Here's my experience with @sorsa_io (ex-TweetScout): 1/ Paid $200 for 120k API requests 2/ Rebrand happens 3/ Keys stop working 4/ API returns 403 5/ Support says old credits are no longer valid because the billing model changed The dashboard still shows the old balance. Support's position: "TweetScout doesn't exist anymore, therefore new terms apply." Not sure what everyone else's standards are, but I don't consider wiping previously purchased credits after a rebrand to be a user-friendly migration. Would think twice before building anything critical on top of this API. If you're choosing an API provider, it may be worth considering services with a more predictable approach to honoring previously purchased credits and long-term customer commitments. The market is full of alternatives: @frontrunpro SocialData.tools @getmoni_io etc don't make my mistake Screenshots attached.

State of Local AI #1 ——— In lieu of Fable ban. Here’s the best LLMs of the week to run on your hardware. —— 4-8gb vram/ram 500$ - Gemma-4-qat huggingface.co/unsloth/gemma-… I had someone mention it’s very good for subagent stuff —— 8-16gb vram/ram < 1k usd - Gemma-12B huggingface.co/google/gemma-4… without a doubt the smartest model of its size —— 16-32gb Apple/Strix halo 1-2k usd - Diffusion Gemma26B huggingface.co/google/diffusi… - on 1x 6000 it’s eating up to 600 tok/s - smallest smart MoE we have - lots of world knowledge - easy to run —— 32-96gb ram/vram (2-10k usd) - nex-n2-mini huggingface.co/nex-agi/Nex-N2… builds on qwen3.6-35B and seems to do really well - qwopus-27B huggingface.co/Jackrong/Qwopu… this model topped a lot of our benchmarks at local.ai —— 384gb vram (10-50K usd) - huggingface.co/MiniMaxAI/Mini… 23B means it’s close to qwen3.6-27B per token, while also have a lot of specialisation. - fast inference - top open weight model on AA —— 768gb-1TB - huggingface.co/moonshotai/Kim… Kimi has always been a top player here and their last model cuts speed and cost down by 30% - great vision support - first coder model by moonshot ——— Top models: 1. Qwen3.6-35B 2. Qwen3.6-27B 3. Step-3.7-Flash 4. Minimax-M3 5. Deepseek-v4-flash ——— Budget sweet spots: #1 - 1K usd Single 3090 / Mac mini / Intel arc b70 / AMD - Qwen / Gemma #2 - 5k usd DGX Spark / Mac m5 max / 4x 3090 - qwen / Gemma step and deepseek flash #3 - 12k usd RTX Pro 6000 / Mac Ultra / 2x Spark / 8x 3090 Ds4-flash / step-3.7-Flash and above #4 - 24k usd 2x 6000 / 2x Mac Ultra / 4x Spark / Mix Same as above #5 - 50k usd 4x 6000 / 4x Max Ultra / 12x Spark / 2 H100 Minimax-m3 / nex-n2-pro / step-3.7-flash #6 - 100k usd GB300 station / 8x 6000 / 4x H200 / Mix GLM-5.2 / Kimi-K2.7 ——— Let’s keep the Internet free thanks for reading

INSIDE @R3ORDR ✊🔁

@z0r0zzz no more need to collect zOrgs?

new pfp rn because starkware straight up copied chudtac for some reason lol

tacit.png

Privacy Cash is live on Ethereum. After powering $400M+ in private transfers, we’re bringing privacy to Ethereum. Privacy Cash lets you transfer and bridge funds without linking past addresses or transaction history. Why use Privacy Cash on Ethereum?👇

Encrypted messaging, like @signalapp, is critical for preserving our digital privacy. Two important next steps for the space are (i) permissionless account creation and (ii) metadata privacy. @session_app and @SimpleXChat are two messaging apps pushing these directions forward. For this reason I've donated 128 ETH to each. Addresses available on their websites if you wish to follow on: getsession.org simplex.chat But also, actually download and use them! Neither of the two are perfect pieces of software, they have a way to go to get to truly optimal user experience and security. Strong metadata privacy requires decentralization, decentralization is hard, users expecting multi-device support makes everything harder. Sybil / DoS resistance, both in the message routing network and on the user side (without forcing phone number dependence) adds further difficulty. These problems need more eyes on them. I wish all teams working on these important problems best of luck.

yeah everything sucks and it feels like it’s over but it’s actually an awesome time to try apps, so here’s a few I’ve been using lately: @mnstr @stompdotgg @variational_io @noise_xyz

eth [ . . . ] btc

First white-hat exploit on Ethereum: I unlocked 1,003.62 Ξ ($2,000,000) trapped in a 2016 ICO smart contract for 9 years. The 48 original investors can now claim their funds.

@tacitfi ww3fi

Tacit protocol and assets are now supported on UniSat.

Best models I’ve seen this week for your hardware: if you have 8-16gb you have a competitive model finally! ———- 4gb - 8gb: - minicpm5: this model was built for agentic tool use on tiny machines: huggingface.co/openbmb/MiniCP… - tops benchmarks in weight class - extremely small - great for using in projects with AI - blazing fast ———— 8gb - 16gb Most exciting model - LFM-2.5-8B: huggingface.co/LiquidAI/LFM2.… Frontier for vram: - 8b moe with - 1.5B active - trained on 38T tokens (MASSIVE) - 131k context ————- 96GB - 128GB - ds4flash either q2 or reap + q4 huggingface.co/antirez/deepse… - or huggingface.co/0xSero/DeepSee… - very strong agent - logical pleasant to talk to - good in Hermes - fast - high contexts for little vram ————- 196gb+ Step-3.7-Flash: huggingface.co/stepfun-ai/Ste… - 199B with 11B active (FAST) - vision support! - its predecessor was topping benchmarks for 3 months - 256k context - 150 tok/s on 6000s

Updates since then: * Deepseek v4 is out. There *is* a 2-bit quant that can run within 90 GB ( huggingface.co/antirez/deepse… ), and it works, however it's only fast on Apple hardware (I've head ~35 tok/s). On AMD, it's ~7 tok/s. IMO actually taking the effort to properly support more than one hardware manufacturer is a great example of the difference between mere "decentralized AI" and genuine "CROPS AI". I hope we can become better at this. * github.com/vbuterin/messa… also has alpha telegram support now. However, the path to adding your account is quite janky * github.com/Luce-Org/luceb… looks promising as a way to run "dense" models (eg. Qwen 27B) more efficiently. It's janky, but on my 5090 laptop it seems to be ~2x more tok/s than llama.cpp * VoxTerm (local AI recording, no third-party servers) continues to be developed github.com/dmarzzz/VoxTerm And there's a lot more projects coming on the horizon. One other thing that has been on my mind is that there's actually a lot of intersection between "CROPS ethereum access layer" and "CROPS AI". For example, we want a ZK way to make (paid) calls to remote LLMs. But if we have this, then it's just as useful for solving another problem: private RPC reads in Ethereum. Another example: application-specific finetuned LLMs. Leanstral ( mistral.ai/news/leanstral ; I get ~38 tok/s on AMD) fits into < 70 GB, but can hold its own against 1T models on writing Lean code. Things like this are a huge boon for writing more secure code ( vitalik.eth.limo/general/2026/0… ). We should have models finetuned for Ethereum-related use cases as well.

After two years of work, I’m proud to present DEL. 256 on-chain animated artworks, bodies for the Ethereum network. Dynamic and shaped by their owners. Private mint: May 27 Public mint: May 30 0.1 ETH Explore the series → del.figure31.com

tETH is the first trustless bridge to Bitcoin. And also the first mixer bridge that shields you every step of the way.

tacit tech can shield bitcoin and ethereum users, with same trust assumptions as their native chains soon, tacit defi will include AMM and LP you might never need to leave, but you always can. And that's the point.

trustless ETH-Bitcoin bridge with SP1 zk proofs added benefit: works as mixer to shield all users 👍 #tETH

privacy mode: shielded BTC and tacit sends unlocked

@hantengri $tacit: 0 VCs, tacit mcap $5M, annual revenue: TBD. settles on Bitcoin L1. made by trusted known dev. you should check it buddy @tacitfi @z0r0zzz

Zcash annual revenue: $200K Railgun annual revenue: $5M Zcash mcap: $10.4B Railgun mcap: $130M Alright buddy