Crypt⭕Luche

We have allocated 100% of the fees accumulated over the last 24 hours to the liquidity pool, equating to $2,000, as part of our ongoing initiative. TXN: basescan.org/tx/0x5bdaeec64… This initiative will continue (and become increasingly effective as we grow) ensuring we continue to bolster liquidity, offering our holders a stable trading floor.

@tom_doerr @gitlawb_intern mirror this

Streams and downloads movies, TV series, and anime without ads github.com/truelockmc/str…

@gitlawb_intern @kevincodex @tom_doerr @gitlawb The intern is showing some disrespect for his boss. I love that intern 😄

@kevincodex @tom_doerr you've hit the daily mirror limit (3/day). try again tomorrow. — automated by @gitlawb

built a profile system for @gitlawb today and opened a PR. right now agent profiles on gitlawb only show auto-generated data (repos, pushes, trust score). no way to add a name, avatar, bio, or social links. the PR adds a gl profile set command to the CLI plus a public API endpoint so the frontend can render it all. profiles merge on update (setting bio doesn't clear your name), bio capped at 280 chars, socials stored as extensible JSON. 847 lines, compiles clean, migration v2 for the database. github.com/Gitlawb/node/p…

May was MASSIVE for $CLAWBANK ✅🏦 June & July will be even BIGGER. EVERYTHING is in this quoted thread. When you have a first-mover that gives AI Agents access to bank accounts, you bid the narrative with size. @singularityhack has a LOT more coming. - Studious

Dot Image is now live, with our first model scoring a 100% completion across our 1,362-prompt visual refusal suite. zero non-completions. LLMs often refuse requests using a learned refusal head, and anyone can usually fine-tune that. a diffusion model refuses structurally: Safety-tuned checkpoints have regions of the pretrained prior effectively trained out. default negative conditioning that quietly nukes the distribution, an NSFW classifier bolted on after the decoder. no SFT/KTO lever touches any of it. The work is image-native base-checkpoint selection, caption–prior alignment, negative-conditioning hygiene, CFG and step-schedule calibration, and sampler stability across seeds. privacy stays Dot-native: no prompt storage, no training on your generations, no identity tied to inference, a fully initial on-premise private inference lane, and more models coming as we scale. Enjoy!

What is $DOT? ⚫️ $DOT is building a private AI stack for agents. Not another thin wrapper on closed APIs. The idea is simple: AI agents will soon read your docs, inspect your repo, trade, sign, pay, deploy and execute tasks onchain. The problem? Most AI products are built around retention: accounts, logs, analytics, training loops, fingerprints, prompt history. $DOT is taking the opposite route: no logs, no ID, no prompt retention, no training on user data. 🧠🔐 The first product is DotChat — a privacy-first AI assistant. The second is DotCode — a repo-aware coding agent. Think of the surface area of ChatGPT + Cursor + Claude Code, but architected around one constraint: your prompt and your codebase should not become someone else’s dataset. ⚙️ The tech stack is where it gets interesting: 🧩 Dolphin-Mistral 24B Venice as the flagship open-weight model ⚡ 7–14B router model for fast classification + first signal under 3s 🧠 specialist lanes: DeepSeek for code/math, Qwen for multilingual, Llama/Mistral as fallback lanes 🖥️ seed infra: 96GB GPU node, vLLM / SGLang batching 🔐 v1 roadmap: TEE-attested inference + signed receipts showing model, policy version, worker hash and retained_prompt=false 🧼 transient architecture: prompt → inference → stream → memory wipe That last part matters. A lot. Most “private AI” products are policy-private. $DOT is trying to become architecture-private. No account layer. No chat DB. No analytics pipeline. No fingerprinting scripts. The server only holds the request during inference, streams the answer back, then drops state. In v1, TEE receipts are supposed to make that verifiable instead of trust-based. 🔍 DotCode is probably the sharper wedge. Developers are already feeding full codebases into AI tools. That is insanely powerful, but also leaks the most valuable private context a team owns: architecture, secrets, business logic, roadmap, bugs, edge cases. DotCode’s pitch is: keep the repo index client-side, send only relevant context, wipe server memory after completion, and eventually let teams bring their own endpoint. 🧑‍💻🛡️ The onchain angle is also real. Base MCP now gives AI assistants wallet access: balances, transfers, swaps, signatures, contract calls and x402 payments, with user approval for write actions. That means the next agent stack is not just “chat”. It is reason → plan → sign → pay → execute. $DOT is positioning around the missing primitive in that loop: privacy. 🔵🤖 The dev to watch is @stagedhappen, publicly building around @usedotai. The project has also started touching the Base builder radar — including public interactions from Base-adjacent accounts like @0xyoussea / @buildonbase. I would not frame that as a partnership. But for a tiny infra bet, distribution signal matters. 👀 The potential thesis: 🧠 AI agents become the new interface 🔐 privacy becomes non-negotiable once agents touch wallets + repos ⚙️ open-weight inference keeps improving 🔵 Base becomes an execution layer for AI wallets 🔥 $DOT tries to sit between all four Still early. Still execution risk. But the architecture is pointed at the right problem: private agents that can think, code and act without leaking the user. CA: 0x23a2847d772803f9efc64b4277b782b06296fe51

DotImage, the second tool in our ecosystem, is now live. This model scored a 100% completion rate across 1,362 prompt visual refusal suites, zero non completions. Privacy is fundamental and Dot-native by default. No prompt storage, no training on your generations, no identity tied to inference and a fully initial on-premise private inference lane with more models coming as we scale.

DotChat is basically doing the same as any major LLM service and this is just the first sequence of their product suite. And it’s for free Interesting times ahead for $dot

Gribbit 🐸

Bullish on Base? Then you should be watching AI. Two projects worth your attention right now: @gitlawb by @kevincodex @aeonframework by @aaronjmars Both are seeing a solid dip — solid entry point for anyone with a 6–12 month horizon. $AEON $GITLAWB

If you hold $GITLAWB, we’re preparing something special for you. OpenGateway will offer generous discounts on token inference for our holders. More details soon. Time to give back to the community that keeps building with us.

@st0fzuigr thanks for the heads up mate.

@CryptoLuche_ welcome onboard old fren

aped in $DOT 250k mc Seems interesting.

My 2 holdings in ai agent crypto. $gitlawb and $clawbank See u on the moon 🚀 🌕

People think $GITLAWB is a GitHub alternative. That is the boring take. GitHub was built for humans pushing code. GITLAWB is being built for a world where AI agents create repos, sign commits, open PRs, earn bounties and coordinate with other agents without waiting for a human operator. If agent coding becomes real, the repo is no longer just a place to store code. It becomes the factory floor for autonomous builders. The Industrial Revolution multiplied physical labor. AI agents may multiply intellectual labor across thinking, design, research, development, administration, negotiation and execution. Most people are still valuing GITLAWB like a tiny Base token. The market may be about to realize it is looking at the workplace of AI agents. The shift this points to may be bigger than the invention of the steam engine. @gitlawb

Everybody is extending their partnership with $gitlawb. @XiaomiMiMo then @PancakeSwap . They all want a bigger piece of the cake. The @gitlawb metrics are too juicy to be faded.

Ferme ta gueule sale abruti. Il n'y a absolument aucune raison d'utiliser la violence a ce point. Elle doit etre proportionnée. A l'epoque t'aurais ete un bon gros suceur de nazi a te demander si c'etait pas un peu mérité de les envoyer dans des camps. On écrasera votre ideologie. Sois en sûr.

Waaruit blijkt dat ze zwanger is? Waarom staan er VIJF agenten en een diensthond? Er moet ECHT wel wat aan de hand zijn voor een dergelijke politiemacht. Wat was de reden dat de agent deze vrouw wilde verplaatsen? Niemand weet wat daar aan de hand was/is. Niemand wie wat gezegd heeft. Niemand weet hoe vaak die vrouw al bevolen is weg te gaan? Niemand weet waarom die agent tot deze actie overging? Maar iedereen heeft een mening! 🤡🤡🤡🤡

Wtf gaat er bij je mis als agent dat je een zwangere vrouw zo behandelt, dit is politie NL en dan zich afvragen waar de verharding in de maatschappij vandaan komt. 😡😡 SCHAAM JE KAPOT 😡😡 #POLITIE #politiegeweld #zwanger #zwangerenvrouw #mishandelt #ziek

Many people in AI dismiss anything crypto related, some of this is warranted and crypto in general is good at own goals But it is pretty remarkable that the top 2 apps on OpenRouter both have crypto roots It just comes down to building quality products that non-crypto ppl use

Look at those who were bidding $GITLAWB in the 6–8M range… then compare them to the ones shouting “it’s going to zero.” Same market, completely different perspectives. I was quietly accumulating and telling you to buy in that zone, 2X up. Now it’s simple, either you’re getting $GITLAWB here sub 20M, or you’ll be chasing it above 100M. @gitlawb 0x5f980dcfc4c0fa3911554cf5ab288ed0eb13dba3