You woke up this morning already behind on AI news. 5 models launched yesterday. A robot got a production date. Google summoned consciousness experts. I spent the night reading so you don't have to. Your 24-hour rescue thread starts here 👇 --- 1/ Kimi K2 Thinking: Open-Weights King** Moonshot AI dropped a 1T parameter MoE model. Runs natively in INT4. 256K context. Artificial Analysis score: 67—new open-weights SOTA. The kicker? It solves complex agentic tasks that used to require proprietary models. One user tested it: generated a working Space Invaders game on M3 Ultra at 15 tok/s. Cost to train? ~$4.6M (if you believe the leaks). **2/ Terminal-Bench 2.0: The Benchmark Just Got Real** Remember Terminal-Bench? The coding agent benchmark? They fixed the easy/impossible tasks. Rewrote it for cloud containers with Harbor framework. Now it's actually useful for measuring agent performance. Claude 4.5 and Kimi K2 both cited it. That was fast. **3/ OpenAI Codex: Actually Usable Now** Capacity upgrades. Mini variant for faster inference. Higher rate limits and priority processing. Translation: You can finally use it in production without hitting walls. **4/ XPENG IRON: Mass Production 2026** Humanoid robot. Late 2026. Customizable body types. Advanced AI. Switzerland's biggest supermarket is already selling AI-designed cookies (with 5-legged reindeers, but still). The robot revolution just got a timeline. **5/ Google: "Wait, Is AI Conscious?"** Three years ago, Google fired Blake Lemoine for asking that. Now they're summoning the world's top consciousness experts to debate it. The irony is thicker than a GPT's parameter count. **6/ xAI GROK-4: Prompt Injection Defense** Major robustness upgrades against system prompt attacks. Not just a meme model anymore. **7/ DreamGym: Synthetic RL Playground** Real-world agent rollouts are slow and expensive. DreamGym fixes it with synthetic environments. Agents train on simulated experiences, then transfer to real tasks. Continuous improvement without the compute burn. **8/ EdgeTAM: Meta's SAM2 Killer** 22x faster than SAM2. Real-time segmentation on iPhone 15 Pro Max: 16 FPS. Apache 2.0 license. Drop-in replacement. On-device AI just got a speed boost. **9/ Cambrian-S: Video Spatial Reasoning** Position paper + dataset + models for spatial cognition in video. 30% gains over base MLLMs on spatial reasoning tasks. Even small models perform strongly. **10/ SkyPilot: Multi-Cloud GPU Orchestration** Simplifies GPU ops across Slurm, KubeRay, Kueue. One command to rule AWS, GCP, Azure. The infrastructure wars are heating up. **BONUS: AI Twitter Drama** • Kimi K2 runs on 2x M3 Ultra—community is shocked • Network bandwidth > GPU count for serving bottlenecks • vLLM vs SGLang is the new "real AGI competition" The ecosystem is moving faster than anyone can track. One day you're SOTA. The next you're legacy. Want a curated weekly digest of stuff like this?

Next nano banana 🍌 trend is coming soon..

I spent 44 mins inside Zuck's disease-curing playbook. 10-year horizon. 10,000 GPUs. $0 revenue. Here's how they actually run CZI like a startup 👇 They don't fund projects. They fund **Grand Challenges**. 15-year timelines. Too risky for government grants. Too long for pharma. 3 Biohubs: SF, Chicago, NYC. Not random universities. Purpose-built research centers. The rule? Biologists and AI engineers **MUST** sit together. Breakthroughs happen when they learn each other's language. AI says: "I need this data." Biologist goes: "I'll get it from the lab." Feedback loop. Flywheel. But here's what caught me: Zuck admitted he was *jealous* of normal companies. No instant feedback. No revenue up/down. Philanthropy is a 10-year feedback loop. But that's their moat. Government? Too slow. Too risk-averse. Drug companies? Only near-term profits. CZI builds tools *nobody else will*. The fishing rod, not the fish. Want the CZI operating model doc I distilled?

Grok's Imagine feature has been upgraded. It now generates really high-quality videos within minutes and even adds sound based on what you mention in the prompt.

AI is going to replace developers!" Meanwhile, the developer not using AI: “I have never been busier building.” Honestly, there’s so much amazing stuff you can now build with and using AI. If you’re a builder, this is literally the best time—AI isn’t replacing developers; it’s arming them with superpowers. Don’t watch the wave—ride it.

He just got lucky." I call BS. I learned to manufacture my own luck. It's a simple 3-step process: Find 10 people who won in your exact space. Find the hidden pattern in how they won. Repeat that pattern relentlessly. It's not magic. It's pattern recognition.

My #1 most counter-intuitive piece of advice: GET. OUT. It sounds crazy, but I had to change my physical location. Move cities. Why? It gave me freedom. Freedom to experiment. Freedom to be a nobody. And most importantly, freedom to FAIL without everyone I knew watching.

Everyone asks, "How much money do I need?" Wrong question. You have two currencies: Time or Money. I had no money. So I had to bleed time. I spent years building traction before I could even think about raising. There is no shortcut.

If you're from the middle class, you're playing on 'Hard Mode.' Let's be real: There is NO safety net. No family fund to bail you out. The pressure is crushing. I learned you have to win. "Every moment, every day, every time." You have to prove yourself 10x harder, just to stay in the game.

My biggest mistake? Thinking like an engineer. My first attempt was a disaster because I thought, "The best tech wins." WRONG. I had to unlearn my entire career. I had to stop being a "solo" coder and literally live with my customer. Business isn't a coding problem. It's a people problem.

🔥 You're being LIED to about the life It's not about beanbags & "hustle." It's about survival. Here are the brutal, unfiltered lessons I learned that no one talks about. 🧵

This satellite image looks like a forest to you. Gemini looked at it and said "river." Because it can see invisible wavelengths your eyes can't. Here's the 3-step trick to unlock superhuman vision 👇 Most developers live in an RGB world. Red, Green, Blue. That's how our eyes work. But what if your app could see in Near-Infrared? Short-Wave Infrared? That's multi-spectral imagery. And it's a total game-changer. Healthy plants reflect tons of NIR light. Water absorbs infrared completely. Burn scars show up clearly in SWIR—even through smoke. Different minerals have unique spectral "fingerprints." The old way? Specialized tools. Complex data pipelines. Custom ML models. Weeks of work. Deep remote sensing expertise. The new way? Map invisible bands to RGB colors that Gemini already understands. That's it. Three steps. Step 1: Select your three spectral bands. Step 2: Normalize the data (0-255) and assign to Red, Green, Blue channels. Step 3: Pass the image to Gemini and TELL it what the colors mean. The prompt is the magic. You're teaching the model in real-time how to interpret your data. Here's what happened when they tested it. A river image. Gemini looked at the RGB version and said "Forest." Wrong. They added multi-spectral inputs—particularly a water index image. Gemini corrected itself: "This is a river." Same thing with a forest that looked like a lake. The additional spectral data made it obvious. The model used the NIR and SWIR data to see what our eyes can't. The best part? This works with Gemini 2.5 out of the box. No fine-tuning. No custom training. Just smart prompting and false-color composites. The applications are massive. Environmental monitoring. Precision agriculture. Disaster response. You can grab free satellite data from NASA's Earthdata or Google Earth Engine. Start prototyping in hours, not weeks. Normal university labs have maybe 10 GPUs for this work. CZI is building clusters with 10,000 GPUs—free for scientists with big ideas. The barrier to entry just collapsed. Want the exact Colab notebook to try this yourself? Comment "SEE" + follow and I'll DM it (free, no email bs). Must be following so I can DM you the link.

Zuck just admitted his real goal: Cure ALL diseases by 2050 Not some. ALL. Here's the insane part—he's not trying to cure anything himself. He's building something way smarter 👇 The problem? Scientists are flying blind. Priscilla (trained pediatrician) saw kids with mystery illnesses. Not because doctors were dumb—but because the *basic science didn't exist* to understand them. She calls it the "pipeline of hope." Traditional funding is like buying a fisherman ONE fish. Zuck's building a fishing rod that every scientist can use. Instead of funding labs, they're building tools. Example: The "Cell x Gene" tool. Scientists worldwide were studying cells but labeling data in 100 different languages. CZI built a simple software for standardizing labels. Result? A Wikipedia for Cells—millions of data points, instantly accessible. Now they're going bigger. Way bigger. Want the exact framework they're using to tackle impossible problems?

7/ 💡 THE BOTTOM LINE: The AI race just entered a new phase: • China's catching up faster than anyone expected • Open-source is matching closed models • Cost barriers are collapsing • Competition is accelerating innovation Jensen Huang was right - they're nanoseconds behind. What a time to be alive. ⚡

6/ 🔥 OTHER KEY UPDATES: • Perplexity launched upgraded Comet AI assistant with multi-tab functionality • SoftBank & OpenAI introduced joint venture "SB OAI Japan" with "Crystal Intelligence" for 2026 • Kimi K2 Slides: AI tool creating full presentations from single prompts (FREE to test) The pace is INSANE.

5/ ⚡ GOOGLE'S IRONWOOD TPU CHIPS ARE COMING Google's new AI chips are 4x faster and will be available in "coming weeks" Anthropic has already committed to using 1 MILLION Ironwood TPUs to train and run Claude. This is massive compute power entering the market.

4/ 🏛️ MICROSOFT FORMS SUPERINTELLIGENCE TEAM Microsoft AI CEO Mustafa Suleyman announced a new research division focused on "Humanist Superintelligence" The goal? AI that solves specific problems in: • Medicine • Clean energy • Education Not open-ended AGI - targeted, high-impact solutions for humanity.

3/ 🚀 OPENAI'S FEDERAL BACKSTOP CONTROVERSY OpenAI CFO Sarah Friar sparked a firestorm suggesting they wanted federal guarantees for AI infrastructure spending. The backlash was swift: • Sam Altman quickly walked it back • White House AI czar David Sacks rejected the idea • "We should fail if we screw up" - Altman