...antibody therapeutics with more effective mechanisms than before. Such mechanisms are urgently needed in food allergy, which involve overcoming one of the tightest affinity protein pairs in immunology, IgE and its receptor FcεRI, on mast cells.   Treatment with Xolair—the only approved antibody for food allergy—sequesters circulating IgE, but mast cells remain sensitized for weeks to months due to the extraordinarily slow dissociation of IgE from FcεRI.   We envision a treatment that actively pulls IgE off of FcεRI, without waiting for natural dissociation. Like picking a lock, this requires the right combination of geometry and force.   Our research team, working with Claude, ideated on mechanisms to accomplish this disruption, and converged on an antibody format with two arms with different functions and epitopes. Within one month, we designed, synthesized, and experimentally confirmed the biophysical function of the two arms, which we are now assembling into full therapeutic formats.     Read more:   Anthropic’s blog   https://   anthropic.com/research/early   -progress-drug-development   …   Our technical report   https://   divergencelabs.com/publications/i   ge-preprint.pdf   …     — Bowen Jing

Source: https://x.com/bjing2016/status/2115235758802161846

I’ve been making games for 19 years. Over the last few years it had turned into a job, and I stopped enjoying it. A few weeks ago I set myself a challenge, take one small game through the entire pipeline on my own with AI. That meant development, art, marketing, the Steam page, and getting it onto the platform.

It took about 5 weeks. For the first time in years I was actually having fun making a game again.

In the game, you drive a machine into a dense field, clear it, and use what you earned to buy the next field. It's a chill, unrealistic farming game. A couple of gamedev subs removed my posts as I disclosed AI use, so I’m sharing the process here instead, for anyone curious how it actually works.

The stack

• Claude (Opus 5.5) in Claude Code wrote basically all of the C#. I worked with it like a small team of agents.
• Funplay MCP + Unity 6 let Claude drive the Unity editor directly. It can inspect scenes, change values, take screenshots and play the game, so it can see what it built instead of guessing.
  • Having tested several MCPs: Funplay is the best one IMO
• Magnific for concept art, textures and material maps.
• Tripo to turn picked concepts into 3D models.
• Blender + MCP, driven by scripts, to clean up, split, rescale and fix those models before they go into the game.

The automated part
This is the part I find most interesting. I ended up with a backlog of cards by writing out plans, design ideas and feedback. A runner script takes one card at a time while I’m away (like sleeping), with a hard time and money budget per card. It works in its own branch, builds the game headlessly, runs tests, drives the built game to measure handling, takes screenshots, and only lands the change if everything passes.

The marketing side runs the same way. Scripted camera takes are automatically filmed inside the game, cut into shorts, and queued on a posting schedule.

I still made every taste call: how it feels, how it looks, what’s fun. AI didn’t decide what the game was. It still took a lot of manual game design work and feedback to iterate on cutting mechanics and crops, camera, tractor structure and it's movement, and level/environment setup.

If anyone wants details on any part of this, ask away. I’m happy to share what worked and what didn’t.

And if you’re curious about the game itself, here it is: https://store.steampowered.com/app/5341880

So I had this issue where the game facial mood animations we're freezing my lipsync. Finally fixed now and now it uses the game facial animations + my facial animations. Also voice audio is now passed trough the engine itself so it can take advantage of all the game effects like reverb, occlusion or even phone filter.

I am a senior engineer at my company. I don't do a damn thing. I sit at my desk all day and answer emails because I'm the SME (subject matter expert) lead on many various topics, programs, projects, regulations, etc.

I used to do this job okay. A question/project would pop up and I'd do a little digging, research some documents, do a little math and/or science, draft a document, revise some papers. But now?

Plug that into an LLM. Everything. It gives me what I ask for, how to do it, the math, the science, the regulations, the whole damn thing. Ofc it ain't perfect...but it's damn near. I find that 90% of the time it does my job perfectly without me having to raise a finger. The other 10% is a bit re-wording and minor edits. I also use it as a mentor to bounce ideas off of and confirm my decisions.

Nobody at the company knows I do this. It's scary how accurate AI is nowadays. I feel like you could pay somebody minimum wage to just prompt AI like I do.

Heck, it even knows stuff I don't. Today I got an email from a stakeholder that stumped me. Had zero clue how to answer his question. Put it into AI and AI told me everything...from what to say, the evidence (show me your work), and the whole damn 9 yards. It even provided me with links to provide to them so as to strengthen my argument/credibility/advice.

The ONLY thing is AI is so damn robotic it's obvious you're using it. So that's where I just come in and rewrite it to sound...more DUMB and more like a regular human.

I'm scared, guys. Senior IC (individual contributor) roles are going to be slowly vanishing. But fuck it, enjoying this while it lasts.

EDIT: Oh, still gotta do pointless meetings, though. There's still that which AI cannot do. So until that gets solved anytime soon...I guess my job's still somewhat secured.

EDIT2: Also the most annoying thing is AI websites are ALL blocked on my work laptop. So in order for me to do my AI shenanigans, I gotta take a picture of the email/project/whatever via my phone and then just type in what my AI replies back to me on that. A bit time consuming but it's worth it.

No miracle [yet], but really intriguing hints. https://www.tomsguide.com/ai/openai-unleashed-thousands-of-ai-agents-to-study-a-parkinson-like-disease-heres-what-they-found-in-32-minutes

"The researchers used GPT-Rosalind, OpenAI's specialized AI model for life sciences, to examine a dataset showing what happens when different genes are disrupted in mouse brain cells.

Each agent focused on a specific genetic change, studied how cells responded and searched scientific literature for possible explanations. The findings were then combined into what the researchers call a "reasoning atlas," connecting genes, cellular changes and existing scientific knowledge.

The team estimates that reviewing the same material manually, one genetic change at a time, could take months to a year. The AI agents completed their analysis in just 32 minutes."

https://freeimage.host/i/nvkeoAJ

1. P vs. NP: ETH disproved via sub-exponential counterexample; UGC fully proved.

2. Riemann Hypothesis: Quasi-Riemann hypothesis proved and formalized; Landau–Siegel zeros non-existence proved.

3. Yang–Mills and Mass Gap: Yang–Mills part solved and formalized.

4. Navier–Stokes: Disproved via a counterexample.

5. Hodge Conjecture: Partial proof for CM-type abelian varieties.

6. Birch and Swinnerton-Dyer: Rank 0 and 1 cases settled.

7. Poincaré Conjecture: Solved by Grigori Perelman in 2003.

https://x.com/axiommathai/status/2115089794867040584?s=46

https://www.pcgamer.com/software/ai/gabe-newell-says-ai-is-a-significant-technology-transition-on-a-par-with-the-emergence-of-computers-or-the-internet-and-will-be-a-cheat-code-for-people-who-want-to-take-advantage-of-it/

— Kaplan

Source: https://x.com/Kappische/status/2114775217486655712

Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.   In doing so, we’ve learned much more about how Claude can support the many stages of   — Anthropic

Source: https://x.com/AnthropicAI/status/2115178675050307942

— Chubby

Source: https://x.com/kimmonismus/status/2115189779512074499

more photos from the installation     — Greg

Source: https://x.com/livelaughgreg/status/2115090642145771533

Not great for accelerationists https://x.com/tszzl/status/2115166671669461272