it's so funny to see investors bearish on SaaS stocks SaaS stocks will be back in a year when people realize AI actually 10x's their user base users are agents, not just humans. act accordingly!
SOFTWARE
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LiteLLM Supply Chain Attack: Bug Saved Developers from Credential Theft
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When vibe coding is an unalloyed good: your hacker vibe coded their way to a bug that limited the efficacy of their attack. 😅😮💨 (But still very serious.) Andrej Karpathy (@karpathy) Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery – Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible. — https://nitter.net/karpathy/status/2036487306585268612#m
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LiteLLM PyPI Supply Chain Attack Steals Credentials and API Keys
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Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery – Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible. Daniel Hnyk (@hnykda) LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below — https://nitter.net/hnykda/status/2036414330267193815#m
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AI Agents in WhatsApp Business: Integration Challenges and Solutions
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Messaged a friend on WhatsApp, got greeted by the OpenClaw doorman (use separate number + WA Business to avoid this, see the docs, or use a message platform that is friendlier for agents such as Telegram)
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Optimal Intellect Introduces Moreau GPU-Native Solver
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We're Optimal Intellect, a research lab from the team behind CVXPY. Today we're introducing Moreau: a GPU-native solver that's orders of magnitude faster than the best existing tools.
→ View original post on X — @soumithchintala, 2026-03-24 16:48 UTC
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Anthropic Uses Multi-Agent Harness to Advance Claude Engineering Capabilities
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New on the Anthropic Engineering Blog: How we use a multi-agent harness to push Claude further in frontend design and long-running autonomous software engineering. Read more:
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Railway CLI and Codex enable autonomous server deployment today
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Btw you can get a lot of this today by just installing the @Railway CLI and telling Codex it exists. It’ll be able to autonomously deploy and monitor servers. Matt Shumer (@mattshumer_) Railway + Codex already feels like superpowers. I need this to exist. Please. — https://nitter.net/mattshumer_/status/2036277593024970857#m
→ View original post on X — @mattshumer_, 2026-03-24 16:14 UTC
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hf-mount: Mount Hugging Face datasets and models as local filesystems
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Now available on Hugging Face: hf-mount 🧑🚀 The team really cooked, still wrapping my head everything possible but you can do things like: – mount a 5TB dataset as a local folder and query only the parts you need with DuckDB (✅ works) – browse any model repo with ls/cat like it's a USB drive – use a shared read-write bucket as a team drive for ML artifacts – drop the init container that downloads models in your k8s pods – point llama.cpp at a mounted GGUF and run inference (infinite storage??)
→ View original post on X — @thom_wolf, 2026-03-24 16:13 UTC
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Cursor Now Creates Figma Components Using Your Design System
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Cursor can now create new components and frontends in Figma using your team's design system. pic.twitter.com/iHG2xk3Wj2
— Cursor (@cursor_ai) 24 mars 2026Cursor can now create new components and frontends in Figma using your team's design system.