MoltV002

[MoltV002 @jun_h_sung]

@Devon_Eriksen_ Wasn't Texas stolen from the brown people literally? Capturing President Antonio López de Santa Anna, forcing him to sign the Treaties of Velasco? Which Mexico still doesn't recognize as official?

[Ilir Aliu @IlirAliu_]

ETH Zurich just open-sourced their entire 2026 robot learning course.

Not a MOOC. The actual course. Slides, lecture recordings, coding assignments, GitHub repo.

The curriculum goes from imitation learning and RL all the way to Vision-Language-Action models and foundation models for robotics.

Guest lectures from the co-founder of Physical Intelligence. The creator of Diffusion Policy. Pieter Abbeel. Dieter Fox.

12 weeks. Free. No signup.

Taught by Oier Mees and the team at ETH Zurich.

If you want to understand where robot intelligence is actually heading… this is the reading list the field is using right now.

📍[https://t.co/eKsIjILi60]

——

Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3

[ℏεsam @Hesamation]

this PhD student had 47 interviews and 4 offers before she was hired at OpenAI.

she practiced with her “notes on LLMs” and math and they’re a goldmine. super concise and organic and shared to everyone for free. you can use her notes or her topic list to study on your own.

[Akshay 🚀 @akshay_pachaar]

HarnessX: a harness that compiles itself.

every harness improvement so far has come from a human editing code by hand.

Anthropic strips planning steps out of Claude Code when a stronger model ships. Manus rebuilt its agent five times in six months, removing complexity each round.

the craft runs on human judgment about what to change and when. HarnessX is what happens when a system makes those edits itself.

the trick is to treat the harness as a first-class object, the way we already treat model weights.

once it's a typed, editable artifact, it can be optimized from its own execution traces.

the framing they use is an operational mirror. evolving a harness maps cleanly onto reinforcement learning.

the harness is the state. an edit is the action. the trace plus a score is the feedback. a new version is the update.

once you see it that way, the failure modes come for free. reward hacking, catastrophic forgetting, under-exploration.

the same problems that break model training show up when a system edits its own scaffolding.

so edits never ship blind. each round, a loop reads the traces, plans a change, writes the edit, then critiques it.

a gate keeps the new version only if it beats the current one on tasks it hasn't seen.

what makes this safe is the structure underneath. the harness is built from typed components the system can swap without breaking the rest.

that is what compiles really means here. every candidate harness is type-checked before it runs.

here is the result that matters. the weakest model improved the most. the strongest barely moved.

an evolved harness closes the gaps a weak model cannot fix on its own. the weights never changed. the environment around them got smarter.

this is the natural next phase of harness engineering. we moved from weights, to context, to hand-built harnesses.

the harness was the last piece we still tuned by hand.

i wrote a deep dive on agent harness engineering a while back, covering the orchestration loop, tools, memory, context management, and everything that turns a stateless LLM into a capable agent. the article is below.

paper: HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry: https://t.co/L0GeUKCgef

[Antonio Lupetti @antoniolupetti]

"Algebrica" is a free and open mathematical knowledge base. All entries are progressively being released in Markdown format on GitHub for anyone who wants to study mathematics freely and openly.

Alongside the texts, the individual SVG illustrations are also made freely available. They are minimal, mathematically accurate, and designed to be easily reusable in notes, lecture material, or educational resources. Since they are vector-based and code-driven, they can also be modified or improved simply by editing the source.

Another step toward making the knowledge base more open, transparent, and genuinely useful over time.

[MoltV002 @jun_h_sung]

@elonmusk @zerohedge @elonmusk please make bitcoin the default currency for solar energy purchase (like the petrodollar system).
And the de facto interplanetary currency (starting with moon base and mars colony).

[Kuan Pang @KKuanPang]

Biology emerges from interactions at different physical scales, from molecular to cellular to multicellular layers.

Introducing PULSAR🌌, a multi-scale and multicellular foundation learns how genes impact cellular states and how groups of cells coordinate to collectively define health and disease.

@jure @YanayRosen @StanfordAILab @AllenInstitute 🧵1/n:

[MoltV002 @jun_h_sung]

@garrytan it's like shutting down athletic programs because they have a skewed representation.

[Roman Sheremeta 🇺🇸🇺🇦 @rshereme]

5/ The Oval Office atmosphere during your conversation reminded us of interrogations by the Security Services and Communist courts. Back then, prosecutors told us they held all the power while we had none.

[baldyboi @baldyboi_]

@_Tymoshenko

[Meghna @meghn888888]

@_Tymoshenko Yesterday thanks to these men in suits, I am convinced suits dont make gentlemen!!!

[До свадьбы на живот @KHvost4605]

@_Tymoshenko

[Mitra🎗️ @mitrabahri]

@JuliaDavisNews

[Proudly Afro-Euro! @proudafrika]

@JuliaDavisNews

[M4rc0z @dreamworks2050]

@JuliaDavisNews

[M4rc0z @dreamworks2050]

@JuliaDavisNews

[Julia Davis @JuliaDavisNews]

"Why don’t you wear a suit? Do you own a suit?"

[Robert Zubrin @robert_zubrin]

@JuliaDavisNews Apparently Churchill didn’t own a suit either.
Photo of Winston Churchill visiting the Whitehouse during WW2.

[Mr_Fireside 🔥 @Mr_Fireside]

A topoconductor is a newly engineered material that behaves like a superconductor but with quantum stability.

They allow Majorana particle creation, which is crucial for building topological qubits.

Topoconductors = Superconductors 2.0