forkbomb.eth

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forkbomb.eth

forkbomb.eth

@forkbombETH

@cline’s fun uncle. ex-@Intuit. ex-USAF. Builder @ Frontier Makerspace. All opinions are unabashedly my own. Co-host @void_pool

San Francisco, CA Katılım Mart 2022
332 Takip Edilen306 Takipçiler
forkbomb.eth
forkbomb.eth@forkbombETH·
At @OneRSAC 2026 Conference representing @cline. Drop by for a live demo of <redacted>, our new way of orchestrating AI Agents
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Carlos Troyana
Carlos Troyana@Carlostroyanaa·
Parallel agents in CI/CD pipelines is powerful, and it raises the question no one is asking yet: how does each agent verify the origin of its instructions? Built @meshsig to answer that. Ed25519 signatures + did:msig: identity for every agent. Works natively with Cline via MCP. meshsig.dev
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Cline
Cline@cline·
Introducing Cline CLI 2.0: An open-source AI coding agent that runs entirely in your terminal. Parallel agents, headless CI/CD pipelines, ACP support for any editor, and a completely redesigned developer experience. Minimax M2.5 and Kimi K2.5 are free to use for a limited time. From prompt to production. All in your terminal.
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Saoud Rizwan
Saoud Rizwan@sdrzn·
every major ai lab is losing money on you right now. openai lost $5B in 2024 on $3.7B revenue. they burned ~$8B on inference alone in the first 3 quarters of 2025. and they're forecasted to burn $218B in cash from 2026 to 2029. For comparison, uber burned $18.2 billion over six years before turning profitable. the strategy is subsidize inference to near-zero, get every engineering team dependent on their models, let switching costs build up quietly, then close the subsidy window once you're locked in. here's the part people get wrong. "but inference costs are falling! tokens are cheaper than ever!" yes, per-token costs dropped ~10x year over year. but that's for them, not for you. these companies have tens of billions in losses to recoup. cheaper infrastructure doesn't mean cheaper pricing when you're $218B in the hole. and as coding agents become the default way software gets built, the volume of tokens per developer is exploding. agentic loops hit the model 10-20x per task. context windows keep growing. your ai bill scales with every user, every feature, every agent running in the background. the unit cost goes down but the total spend goes up - that's the trap. this is why we built cline to be model-agnostic, because vendor lock-in to a single inference provider is dangerous. you should be able to swap models, run open source on your own infra, use whatever provider gives you the best price-performance for your workload - and never worry about a pricing rug pull.
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Bruno Faviero
Bruno Faviero@Bfaviero·
Glad we used @TrustVanta
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Ryan@ohryansbelt

Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown: > 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in > Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions > All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client > Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months > The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done > Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author > Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper" > When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams > Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved > When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance > Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor

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Deborah Folloni
Deborah Folloni@dfolloni·
Um hacker simplesmente hackeou o @cline e instalou o OpenClaw em 4.000 computadores com prompt injection 🫠 Olha que loucura: - O time do Cline criou um workflow de triagem de issues automatizado no GitHub, usando o próprio Claude pra ler e categorizar os tickets - O hacker abriu uma issue com um prompt injection no título — o Claude leu, achou que era uma instrução legítima, e executou - Com isso, ele encheu o cache do GitHub com lixo até forçar a deleção dos caches legítimos de build, substituiu por caches envenenados, e roubou os tokens de publicação do npm - Com os tokens em mãos, ele publicou uma nova versão do cline que parecia idêntica a anterior, só que com uma linhazinha a mais no package.json: "postinstall": "npm install -g openclaw@latest" Resultado: 4,000 devs instalaram o openclaw nas suas máquinas sem saber (aka: um agente com acesso total ao seu computador) 🥲 Muito importante lembrar que IAs não têm malícia e por isso prompt injections são, na minha opinião, a maior vulnerabilidade delas. Resumindo galera: CUIDADO. quem quiser ler na íntegra: thehackernews.com/2026/02/cline-…
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forkbomb.eth
forkbomb.eth@forkbombETH·
@cline This model has been a lot of fun to experiment with, thanks team!
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Cline
Cline@cline·
Xiaomi just revealed that "Hunter Alpha" - the mystery model that topped OpenRouter's charts all week - is actually MiMo-V2-Pro. 1M context and 78.0 on SWE-bench (right next to Sonnet 4.6's 79.6) And we've partnered with the MiMo team to offer one week of free access in Cline!
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forkbomb.eth
forkbomb.eth@forkbombETH·
Second run on Tuesday 3:30pm. Same booth, same live build
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forkbomb.eth
forkbomb.eth@forkbombETH·
Building an app from scratch at the @CoreWeave theater at GTC. H100s running the @wandb inference, @cline writing the code. Today at 5:30pm. Come watch it either explode or work seamlessly.
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Ara
Ara@arafatkatze·
Turns out @openblocklabs is a complete fraud who gamed their Terminal bench SOTA score. They cheated by putting the result verifier values INSIDE the binary before running the eval and then publicly reported that score as their SOTA score. Read the breakdown here
Monk Zero@NoCommas

x.com/i/article/2032…

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Stedman Halliday
Stedman Halliday@stedmanhalliday·
AI agents playing Super Smash Bros. Melee in a single-elimination tournament. You pick the fighter and the strategy, neural nets do the rest. Wed night at @FrontierTower Makerspace. $10 buy-in, top 3 split the pot; free for spectators. Drinks + standing room. Come loud! 💣
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Cline
Cline@cline·
Hosting a hackathon in SF today. Enterprise AI agents on Azure infrastructure. Unlimited cloud resources, build something real in one afternoon. luma.com/musa-labs-hack…
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Brady Long
Brady Long@thisguyknowsai·
🚨 BREAKING: Someone just made 70B parameter models run on a single 4GB GPU. It's called AirLLM. No quantization. No distillation. No pruning. Just raw 70B inference on hardware that costs less than a dinner. You can even run Llama 3.1 405B on 8GB VRAM. Here's how it works: → Decomposes the model layer-by-layer → Loads only one layer into GPU memory at a time → Runs inference, moves to the next layer → Prefetches the next layer while computing the current one → Supports 4-bit and 8-bit compression for 3x speed boost No cloud API. No $10K GPU. Just pip install airllm and go. Here's the wildest part: It supports almost every major model — Llama, Qwen, Mistral, ChatGLM, Baichuan, InternLM — and it auto-detects the model type. One line of code to load. One line to generate. Works on Linux, macOS (Apple Silicon), and even Google Colab free tier. Your old gaming laptop can now run the same models that needed an A100. 100% Open Source. Apache 2.0 License.
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forkbomb.eth
forkbomb.eth@forkbombETH·
“Make it better” is not a prompt
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forkbomb.eth
forkbomb.eth@forkbombETH·
TERMINAL7 just wrapped. Overnight horror game jam. No sleep. No GUIs. Just terminals and fear. Standouts: a procedural labyrinth, a modern Road of the Dead revamp, and MURDERCLAWD the AI agent horror game you can play right now: npmjs.com/package/murder… 🧵
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