ESTO PARECE UNA SALA DE OPERACIONES DE LA CIA. ES UN REPO DE GITHUB un dev open-sourceó un simulador de satélite espía que corre en tu navegador. abres la web y ves un globo 3D fotorrealista con aviones reales moviéndose en tiempo real. barcos. satélites. cámaras de seguridad. todo datos reales. y lo mejor es que puedes hablarle. "llévame a tokyo". y la cámara vuela hasta allí. "cuántos aviones hay sobre texas". y te responde con datos en vivo. "entra en cockpit". y te montas dentro del avión. el dev tenía una serie en youtube con 25 millones de views. la gente le pidió tanto el código que lo soltó todo. 38k estrellas. #1 en GitHub trending. el creador de javascript dijo "pretty cool". se llama god's eye view. os dejo el repo abajo.

ESTO PARECE UNA SALA DE OPERACIONES DE LA CIA. ES UN REPO DE GITHUB un dev open-sourceó un simulador de satélite espía que corre en tu navegador. abres la web y ves un globo 3D fotorrealista con aviones reales moviéndose en tiempo real. barcos. satélites. cámaras de seguridad. todo datos reales. y lo mejor es que puedes hablarle. "llévame a tokyo". y la cámara vuela hasta allí. "cuántos aviones hay sobre texas". y te responde con datos en vivo. "entra en cockpit". y te montas dentro del avión. el dev tenía una serie en youtube con 25 millones de views. la gente le pidió tanto el código que lo soltó todo. 38k estrellas. #1 en GitHub trending. el creador de javascript dijo "pretty cool". se llama god's eye view. os dejo el repo abajo.

estudiantes de marketing viendo esto

Today we’re launching micro1’s PII transformation model, flow-transform 1.0, delivering frontier-level performance across detection, identity synthesis, and transformation of personally identifiable information. On PrivacyBench, our model reaches 96.0% F1, outperforming every detection baseline we tested, including Tonic Textual, Claude Opus 4.8, Sonnet 4.6, Microsoft Presidio, Haiku 4.5 and GLiNER2. Some of the most valuable training data for frontier AI models lives inside fully functioning companies. It captures years of real work across decisions, communications, tools, handoffs, exceptions and the relationships connecting them. The problem is that this data is also full of PII. Traditional redaction makes the data safe, but it also destroys the very workflows and relationships frontier models need to learn from. flow-transform 1.0 solves this by turning enterprise operational data into high-fidelity training data for frontier models by replacing real-world identities without flattening the reality the data captures.

> 20 players in one game > half aren't human > nobody built the map > the AI makes it up as you play gaming is about to get weird

This instance was caused by a hallucination (the model fabricated a proper noun) that was further amplified by its causal thinking trace. This was not a data breach, no user data was shared, and no user isolation boundary was violated. Our users place a lot of trust in Instinct to keep their data private and secure. We've done a lot of work to make sure that users’ data are truly partitioned, from isolated sandboxes to short-lived local credentials to identity-signed tool execution. Regarding hallucination prevention: We worked over the last 48 hours to build an active hallucination detection system that now scans and verifies every token that flows through the platform. This layer is powered by small models that are trained to predict and detect hallucinations caused by ungrounded claims, creative brainstorming in thinking traces, or rare random sampling errors. Our systems are adversarially trained and battle-tested by world-class agent exploitation security teams to ensure that they can detect very subtle and nuanced hallucination cases. This layer has the ability to steer or intercept Instinct from proceeding with the next thinking trace or tool call execution before it is generated or executed. In the coming weeks, we’ll share a deeper dive into how we’re building a proactive engine to protect Instinct from hallucinations. We take every opportunity to learn and create, and we’re excited by the performance and potential for this line of work. These models are going to continue to be hardened every day through continuous testing, sampling, and creative adversarial training.

ONE PERSON CAN NOW RUN A FULL CONTENT TEAM WITH GROK One bot per job. You just make the calls. → Research competitors while you sleep → Pick the one idea worth testing → Build the assets with consistent avatars → Auto-schedule everything in Postiz No camera. No editors. No team. 🔖 Save this. nitter.net/perezhatesai/status/21…

scheduling one meeting takes four emails and zero thought propose.. doesnt work.. propose again.. confirm four emails, every meeting, for the rest of your working life, unless something else does it

SOMEONE JUST TURNED A $20,000 VIDEO INTO A SCREEN RECORDING → Auto-written script → Studio voiceover → Animated and edited All in 5 minutes. First 3 videos free :)

Crazy to say but in-between writing and publishing, this article is already stale. Micro1 is actually at $700M RR now.

Vinay Jain lore is actually insane: > joins Meta right after the IPO > writes the first ever line of code for an ads product > takes it from zero to $1B in revenue > makes WhatsApp's first dollar after Meta’s acquisition > leaves Meta to be an angel investor with early founders > meets his future co-founder Aman Jain > build Notch, an AI Agent to run Meta ad campaigns end-to-end for Shopify brands > shoot their AI Agent into space to orbit the planet while it runs a shopify brand This is a guy has changed the way the world runs, multiple times over. Seriously.

SOMEONE FINALLY FIXED CUSTOMER SERVICE CALLS → the system doesn't understand him → "press 1", wait, repeat → the Beast Mode Button appears → the AI already knows why he's calling and fixes it @cresta's new ad with Marshawn Lynch 👇🏼

when you realize this gummy brand makes 25M a month and they just dropped the secret for free

This gummy brand makes $25,000,000/mo 😭 They’re working with OVER 200 CREATORS in the last 90 days Here’s every creator, hook, and strategy they’re running (and how you can copy them too):