📢💣 ¡Descifran el primer Papiro de Herculano completo!
Ojo a esto porque gracias al Vesuvius Challenge, y mediante IA y tomografía avanzada, se ha logrado la lectura completa de un papiro carbonizado por el Vesubio sin desenrollarlo, atribuido al estoico Crisipo de Solos 🧵👇
Fable isn't the first.
In 1999 the department of defense blocked exports of the PowerMac G4 for crossing the 1 gigaflop threshold.
Steve Jobs turned it into an ad.
NEW: malware developers added nuclear & biological weapons text to to their spyware.
Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner.
Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky.
When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit.
We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted.
In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation.
H/T to colleagues that shared this with me https://t.co/f3Aj9TYxU4
Use the @.ContentBuilder instead of ToolbarContentBuilder and ViewBuilder.
ContentBuilder makes type-checking during compilation of your Views *MUCH* faster.
This does NOT need an iOS 27 target. It works in every version.
It's very cool that Apple shipped a 20B parameter on-device.
You can't put 20B parameters in RAM at any reasonable precision. To make it work they are using pretty exotic architecture by today's standards.
A small model predicts from the query (or prompt) which experts to load from Nand into RAM. The key distinction from a typical MoE is that you do this once per query and then generate all the tokens with the same experts (instead of switching the experts for every token).
A first look at the new DeviceHub announced at #wwdc:
- Interact with a physical device
- Adjust settings, like dynamic type, Liquid Glass, or Orientation
- Works with both the classic Simulator and real devices
More of the iOS app loop, now inside Codex.
The Build iOS Apps plugin lets Codex view and test your iOS app in the in-app browser, open SwiftUI previews, and hot reload edits without leaving Codex.
A new feature sneaked in the Codex app’s latest update. You can now do /side (or use the ... menu) to spawn a side chat! Useful when you're deep in a thread and want to have a side question in the current context!
This is wild. Google Research demonstrates a ~20x more efficient implementation of Shor's algorithm that could break ECDSA keys within minutes with ~500K physical qubits.
Google is now are more confident on a 2029 post-quantum transition. We are no longer looking at mid 2030s, we could have quantum computers of this scale by the end of the decade.
They believe this result is so severe that they are not publishing the actual circuits. They instead published a ZKP proving that they know of the quantum circuit with these properties. This is very atypical, showing Google thinks this is serious shit.
All blockchains need a transition plan ASAP. Post-quantum is no longer a drill.
A native macOS that gives AI agents full control over the iOS development lifecycle, simulator/iPhone management, database setup, and App Store Connect submission. It includes built-in MCP servers so Claude Code (any MCP client) can build, test, submit your app to the App Store
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