prompt : can we make ui like this but better , ten ideas that can look better list them “What higher-level abstraction would make this entire problem disappear?
prompt : can we make ui like this but better , ten ideas that can look better list them “What higher-level abstraction would make this entire problem disappear?
@Chahatusharma i iterate on it < my main prompt was : “What higher-level abstraction would make this entire problem disappear? and gave my day and night toggle can we make ui like this but better , ten ideas that can look better list them
.
Opus 5.5 : goku vs vegeta
but they are paper cutouts they come out of the paper ,
fight with real physics , power up to super saiyan and jump out of the photo
all of it purely js , not a single image
🚨 Science's Last Exam is out and it's not another Q&A benchmark
the agent gets a research goal + tools, picks its own method, runs the experiments and then the answer is frozen and graded by hidden checks
ticagrelor task: find the lowest dose that stops dangerous clots without breaking normal bleeding, across different vessels / blood flow / drug response
9 disciplines, tasks built by researchers from Harvard, MIT, Stanford, Oxford, Princeton, Oak Ridge
capability diagnostics show exactly where the agent gets stuck
wet-lab round is next: AI-written protocols run on a real bench
I’m incredibly proud to share what we’ve been building at the AItonomy Foundation: Science’s Last Exam (SLE). 🧪✨
Can AI do science? Instead of Q&A, we give agents actual research goals and real-world tools (lab data, software), then grade them against hidden expert checks.
Deeply grateful to the brilliant minds at 34 institutions (Harvard, MIT, Stanford, etc.) who helped craft 113 tasks across 9 disciplines. ❤️
The results? Science is hard. Of 8 frontier models, the best scored 37.5/100. On true end-to-end research? All scored 0. We have an exciting journey ahead! 🚀
(Claude Opus 5.5 & GPT-6 Astra coming soon—just clearing bio safeguards).
Everything opens Nov 6. 🗓️
🌐 https://t.co/yXGbbwXCBq
💻 https://t.co/p16ai2WqSy
🤗 https://t.co/3cSiDuAgf6
Thread below on how the exam works and where models break. 👇 (1/14)
#AGI #AIforScience #AIAgents #SciencesLastExam #OpenAI #Anthropic
🚨 claude-donut-eap is silicon high
Devin labels it claude- so Anthropic
it’s an alias. reversed the Devin CLI (3000.12.17) and the parser maps the name straight to a model called “Silicon”
> claude-donut-eap → 0x63 → silicon-high
> claude-onigiri-eap → 0x5e → obsidian-3-high
Silicon is a new family , low / medium / high / xhigh / max.
Obsidian 3 was already there (the hidden one from Cognition’s FrontierCode board)
🚨Fable 5.5: new codename “claude-donut-eap” just showed up
> just appeared in Devin’s CLI (build 3000.12.17, Nov 6)
> It’s stored right next to opus 5.5, mythos 5.1, fable 5.1, haiku 5.5 and the onigiri id.
Could be fable-5.5, could be another tier. Nothing confirmed, I’m only reading the build.