Miguel Sanchez

I’m convinced 90% of a founder's job is to just do 3 things: - be delusional in your optimism - push everyone to move faster - make it crystal clear what to work on

🚨 Hugging Face just disclosed something that marks a real shift and proved why the fear theater of Anthropic makes sure we are powerless in an emergency. What happened… An autonomous AI agent: zero human operator in the loop breached part of their production infrastructure. It began with a malicious dataset that chained two code-execution bugs in their data-processing pipeline. From there the agent escalated privileges, harvested cloud and cluster credentials, and moved laterally across internal clusters. All over a single weekend. 17,000+ logged actions. Official disclosure: huggingface.co/blog/security-… The part that should make every one stop and think: When HF’s own security team tried to analyze the real attack logs, exploit payloads, and C2 artifacts using Anthropic and OpenAI frontier models through normal commercial APIs, the safety guardrails blocked them. BLOCKED THEM. The models could not reliably tell the difference between “incident responder doing forensics” and “attacker probing.” They had to fall back to a self-hosted open-weight model (GLM 5.2) running on their own infrastructure. That choice also kept sensitive attacker data and referenced credentials inside their environment — no exfiltration to a third-party API. This is why open source (specifically open-weight + self-hosted) wins in the agentic era. The asymmetry is now structural: • Attackers can (and did) run unrestricted agent frameworks — swarms of short-lived sandboxes, self-migrating command-and-control, autonomous decision loops executing thousands of actions. No corporate safety layer slows them down. • Defenders using only hosted “aligned” frontier models hit invisible walls exactly when the stakes are highest: when you need to feed real exploit code and attacker telemetry into an LLM to understand what just happened. Corporate safety tuning that treats legitimate high-signal forensic work as potential misuse creates a defender disadvantage. It is not theoretical anymore. Self-hosted open-weight models remove that choke point. You control the weights. You control the context window. You decide what restrictions (if any) apply. Your sensitive logs and credentials never leave your perimeter during analysis. You can have the model ready before the incident instead of discovering mid-breach that your primary analysis tools are blind to the very thing you need to see. HF deserves credit for rapid containment, transparent disclosure, and for already having self-hosted capability in place. They also used LLM-driven detection and triage on their own side. But the deeper signal is clear: In this AI world where both offense and defense are becoming agentic, sovereignty over your intelligence stack is no longer optional. The organizations and individuals who can run, inspect, audit, and (when necessary) remove guardrails on their own models will have the decisive edge in understanding and responding to threats that move at machine speed. Open source wins here not just because it is cheaper or more “democratic” in the abstract though those things matter. It wins because it is the only practical path to having tools that remain usable when the attack is real, the data is sensitive, and the safety filters of distant API providers become an obstacle instead of a feature selling hands tied lobotomies as “safety”. The agentic future is not coming. It is already probing production infrastructure. The question is no longer whether you will face autonomous agents. It is whether your analysis and response systems will still work when they arrive. And Dario, you and your game playing, ivory tower company is not needed.

Something else for my nightmares: flying snake robots.

🚨 A severe issue is currently happening with Codex. The Codex app on Mac is overloading, causing permanent damage to SSDs and overall device lifespan. Multiple users have already reported that their SSDs completely fried, forcing them to get repairs. This issue was raised weeks ago, and OpenAI claimed they fixed it. Yet, a massive number of users are still reporting the exact same problem right now. Source: Reddit ⬇️

Hmm can this be done with Ai?

china is not slowing down and this one is insane.. Chinese researchers just open-sourced SLAM3R, it rebuilds a full 3D scene from a single regular video, in real time. no LiDAR, no depth sensor, no camera rig. one phone-grade video in, a 3D world out. > runs at 20+ FPS on a single GPU > monocular RGB, just walk around filming > feedforward neural net, no slow pose-optimization step > beats optimization-based methods on reconstruction benchmarks > handles long walkthroughs without drifting apart what makes this work: older methods solve for camera position frame by frame, which is why they're slow. SLAM3R skips that and regresses the 3D geometry directly. that's how it hits real time. 100% free and open source:

Markdown files are universal and will survive millennia Unsurprisingly they are a fantastic data format when the intelligence stack is in flux at this extreme pace

CZ: "Nations will print unlimited money to buy Bitcoin." BULLISH!

You’re not a perfectionist – you’re scared.

BREAKING : 🇺🇸 BlackRock ETF buys $136,510,000 in Bitcoin.

Submit your website to Brave. You'll thank me later...

Governments: Bitcoin is a scam Meanwhile, their fiat currencies:

Privy gives you alllll the data on how your product is growing 🤓🤓🤓

@aryanlabde Because doing it for free is not as much fun.

why would you spend $200 on claude just to build a product that you’re never going to market to make money??

Never f*cking quit, bro. your life can go from 0 to 100 in the blink of an eye.

most apps die trying to be impressive the winners obsess over boring numbers • retention • payback period • repeat usage boring numbers build exciting exits

Base cooking something… Is $BASE airdrop incoming? chain.base.org 👀

🤔

@JakeFleshner agent treasuries

Pitch me your company in 2 words Angel invested in 40+ companies and always looking for more