Dave Crossland

When you discover the CIA has been reading your texts in order to frame you for a crime.

Australian tech entrepreneur Paul Conyngham explains how he used ChatGPT/AlphaFold (spent $3,000 with no biology background) to create a custom MRNA vaccine to treat his dog’s cancer tumors. Unreal.

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

Fun command built in Claude Code: /cost-estimate It scans your codebase and cross-references current market rates to calculate what your project would've cost a real team to build. It looks at all the APIs, integrations, everything. Without AI: ~2.8 years. ~$650k. With AI: 30 hours. It's absurd when you start to think about it like this.

Personal software era example: I decided all weather sites suck, so just had claude code build one I like: skyfast.ai Even if this gets exactly 1 monthly active user forever, it was worth the 1hr of attention to build it ¯\_(ツ)_/¯

i just went down a rabbit hole on nvidia’s best-kept secret: AI farming. guys this shit is nuts - there is an AI COW MILKING MACHINE (?!) that lets cows stroll in and get milked whenever they want. - this AI-laser weed-killler zaps 5000 weeds per min, costs $1.2M BUT ends up saving you money by 90 PERCENT (runs on nvidia gpus) - farms using AI produce 30 TIMES more food per acre (and 90% less water) - Scarecrows equipped with AI lasers blast birds to scare them away - farmers spend $300M on nvidia gpus every year? AI lasers, drones and quadcopters - nvidia owns 80% of the farming AI market (classic nvidia monopoly) i didn't know about any of this shit. jensens aura is everywhere apparently

"Creative problem solving" says Knuth! This is just the beginning.

Look at these numbers. AI summaries are fuelling a news holocaust.

No discussion of tech media can get past this basic traffic fact: in the AI world, Google and social no longer refer traffic, which means that the vast majority of readers just never find you in the first place. Analysis: growtika.com/blog/tech-medi…

Harvard just made degrees worth $200k obsolete by open-sourcing its Senior AI Engineer roadmap Stop paying for bootcamps. Prof. Vijay Janapa Reddi just put the entire ML Systems (CS249r) curriculum on GitHub. If you master these 6 pillars, you're ahead of 99% of the field: > Architecture > Data Pipelines > Production > MLOps > Edge AI > Privacy This is the "Black Box" of Big Tech infrastructure, open-sourced. Read. Learn. Bookmark. Book - mlsysbook.ai/book/ GitHub Repo -github.com/harvard-edge/c…

I used to cover food and agriculture on Wall Street and I predicated this almost 10 years ago. Precise targeting of weeds and pests — making the use of chemicals unnecessary. Incredible to see it becoming reality.

dario amodei says: we're not hitting a wall — this year could accelerate so fast it shocks people, because exponentials only feel real in the "second half of the chessboard" anthropic likely has some RSI progress in the lab, and we'll see early effects by year-end

We have spent the equivalent of what it cost to build this just blowing things up the last 4 days.

Claude solved one of Donald Knuth's conjectures from writing "The Art of Computer Programming" and he wrote about it. www-cs-faculty.stanford.edu/~knuth/papers/…

BOOM! Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It! In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon. The project (github.com/maderix/ANE) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now. Translation? Your desktop just became a hyper-efficient AI supercomputer. The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet. At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead. This is world-changing. For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs. No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints. Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle. The AI revolution just moved from billion-dollar data centers to your desk. WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner! We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here. The future isn’t coming. It’s already running on your Mac. Welcome to the Zero-Human Company era.

@dmitryiv_ Perhaps, the tricky thing is that the generality in agi means all fields will fall. It seems reinforcement learning is all you need

Since AI acts on words, the expertise will be moving to areas hardly describable with words. Shaders, bytebeats, art etc

@dmitryiv_ @romanbuildsaas "we read and write what we like, for free. In time we will have everything"

@romanbuildsaas @davelab6 At one point consciousness evolves to question the reason of doing anything - and at the core there’s only one reason - serving, because selfish enjoyment exhausts itself.

The “problem” with AI agents is that I don’t enjoy doing anything anymore except working. It feels like I’m inside a massive video game, and my character is leveling up at an exponential rate. In 6 months, we’ve compressed what should have taken 4 years. I wake up at 9am and I’m at my computer until 11pm. I force myself to go to the gym. I force myself to be social. But the only thing that truly excites me is progressing in the game. Maybe it’s just a phase. Isn’t the goal to build, exit, and then finally enjoy life? But what if this is enjoying life? What if building at full speed… is the reward?

This isn’t science fiction. It’s a real farm where planting, growing, and harvesting all happen automatically! Fully automated technology is changing agriculture in China!

lol for real tho, I went over and scrolled LinkedIn yesterday and it was just the usual plethora of “humbled and honored” posts. It feels like The Truman Show over there vs Escape from New York over here.