After Kiley was diagnosed with glioblastoma, an aggressive form of brain cancer, doctors told her she might have only months to live. At 18, she wrote a will, chose a casket, and began living scan to scan.
But, over the next five years, she kept on living, defying expectations. Her scans stayed stable. Why? How?
After a recent MRI, her husband @ColeLemasters used ChatGPT to help make sense of the dense language in her radiology report. That conversation led him back to Kiley’s original biopsy records, where ChatGPT helped surface a crucial detail: an IDH1 mutation.
In partnership with her neuro-oncologist, he then confirmed what that meant. Under updated medical standards, Kiley’s tumor was not glioblastoma, but an IDH-mutant astrocytoma: still serious, but with a very different prognosis.
Instead of bracing for the worst, Kiley and her doctors began focusing her treatment plan on long-term care. Now, after years of uncertainty, she and Cole are planning for a future.
None of these labs can come close to OpenAI / Anthropic. This is why they push this whole pro Open source stance, which is good for all of us actually. But these companies know if China gets cut off - their chance of winning becomes 0.
major development
more than 20 companies, including Nvidia, Meta, MS, palantir, and hugging face, have signed a letter urging policymakers to avoid premature restrictions on open-weight models
why tf didn't openai sign it?
everyone knows anthropic prefers gatekeeping AI
but google?
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
https://t.co/AUKzoQ5Ikb
@JensenHuang@nvidia The 'OG shovel' seller, he knows where the market is at. End goal is local run ai infra just like the personal PC. Mr Jensen is making the call in order to do that.
@DaveShapi but more or less its a talent issue not a money issue. no matter how much funding/compute u have u cannot build that edge. Biological brains that can build smarter silicon brains are limited and in high demand, much like the GPUs lol
@DaveShapi yes and the other reason im guessing is 'corporate bureaucracy'. The reason why OAI/Anthropic can accelerate with model releases/feature releases while the bigger companies like Meta/Google cant compete with that. 1. they cannot risk bad rep. 2. too much overhead + rules.
@marclou This is what every high end money guys do - use this type of citizen ship/shell company logic. Thanks for sharing this Marc. One day i will come back to this comment.
Organic Compute Concepts.
Midjourney + Figma
PROMPT:
long distance telephoto mecha-orchid capture, vintage 1980s "Macintosh" Apple branding with vivid chromatic adoration, faded vintage full color spectral line apple logo in the corner, mid wind-blow, layered depth composition, high iso speedvision, robot orchid in sharp focus soft falloff, tilted framing, minimalist desert environment with soft palette, wired mechanics, organic-mechanics, minimal Faded CRT graphics overlayed on image, C++ code elements faded like ghosts over the image, cool hues visible grain --ar 16:9 --profile ujlvnie 4lj6eu6 5smhjri zfja8g1 qpfs1tj lncun5f mc9ebw2 --stylize 80 --hd --preview
Introducing the world's fastest tokenizer implementation, Gigatoken!
Gigatoken is ~500-1000x faster than HuggingFace, and ~100x faster than OpenAI's tiktoken for most tokenizer definitions on most machines.
These baselines are already multithreaded Rust implementations! 🧵
The big lesson from AI is that everything is code. A slide deck is code. Design is code. That cool promo video? Code. Excel automation? Code. The universe? Probably made of code too.