Wiggerlab
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Fuck you pvmpgang.

You were right all along, I need to quit my job.
๐Ÿ’ฏ6๐Ÿ˜2๐Ÿ”ฅ1๐ŸŒ1
I just didn't want to see it.
โœ3๐Ÿ”ฅ1๐ŸŒ1
You might not like what I'm going to say but after thinking about it, I would press the blue button.
๐Ÿ—ฟ3๐Ÿ‘1
And I would go and say that the blue button choice encompasses the parochialist idea. On a 1-49% blue button scenario you can extrapolate that same proportion would be within your own social circle. You have to hit the blue button. I wouldn't hold it against anyone hitting the red button. Both of these can be true.

"If this is another dream, it is time for me to awaken. If this is real, it is time for me to die."
โค1๐Ÿ‘1๐Ÿ‘Ž1
I do like some of the variations of it though, I can see why red "wins" when the type of death is being thrown into the woodchipper.
I think next time I come across this poll I'll just flip a coin
Forwarded from Axis of Ordinary
Links for 2026-04-30

AI


1. Thinking Without Words โ€” latent reasoning โ‰ˆ verbal CoT at far lower inference cost. https://arxiv.org/abs/2604.22709

2. Latent Agents: post-training for internalized multi-agent debate. https://arxiv.org/abs/2604.24881

3. Recurrent Transformer: greater depth, efficient decoding. https://arxiv.org/abs/2604.21215

4. Predictive strategies emerge in real + artificial agents from shared task structure. https://www.biorxiv.org/content/10.64898/2026.04.23.720457v1

5. Conductor: train an AI manager to delegate to diverse AIs. https://arxiv.org/abs/2512.04388

6. Stanford/Arc genome LMs generated complete ฮฆX174-like phages; ~300 tested, 16 viable; Evo-ฮฆ36 used a distant packaging protein where simple swaps failed. https://www.biorxiv.org/content/10.1101/2025.09.12.675911v1

7. Reiner Pope: math behind LLM training/serving. https://www.dwarkesh.com/p/reiner-pope

8. The paper that killed deep learning theory. https://www.lesswrong.com/posts/ZvQfcLbcNHYqmvWyo/the-paper-that-killed-deep-learning-theory

9. The other paper that killed deep learning theory. https://www.lesswrong.com/posts/zcGmdQHX66NhC69v6/the-other-paper-that-killed-deep-learning-theory

10. Why SGD stops just short of the edge. https://akyrillidis.github.io/aiowls/stochastic_self_stabilization.html

11. Recursive forecasting from myopic fitness-seekers. https://www.lesswrong.com/posts/q2zYtNsh62SCphitt/recursive-forecasting-eliciting-long-term-forecasts-from

12. AISI GPT-5.5 cyber eval: among strongest tested; second to solve multi-step cyber-attack sim end-to-end. https://www.aisi.gov.uk/blog/our-evaluation-of-openais-gpt-5-5-cyber-capabilities

13. Mayo Clinic AI detects pancreatic cancer up to 3 years early. https://newsnetwork.mayoclinic.org/discussion/mayo-clinic-ai-detects-pancreatic-cancer-up-to-3-years-before-diagnosis-in-landmark-validation-study/

AI politics

1. NYT: Mythos reactions show frontier AI launches acting like weapons tests; Russian pro-Kremlin outlet: โ€œworse than a nuclear bomb.โ€ https://www.nytimes.com/2026/04/22/technology/anthropics-mythos-ai.html [no paywall: https://archive.is/Ex7ZI]

2. WSJ: White House opposes wider Mythos access over security + limited government availability. https://www.wsj.com/tech/ai/white-house-opposes-anthropics-plan-to-expand-access-to-mythos-model-dc281ab5 [no paywall: https://archive.is/zonHZ]

3. China orders Meta to unwind $2B Manus AI-startup deal. https://www.reuters.com/world/asia-pacific/china-blocks-foreign-acquisition-ai-startup-manus-2026-04-27/

4. Anthropic weighs funding at $900B+ valuation. https://www.bloomberg.com/news/articles/2026-04-29/anthropic-considering-funding-offers-at-over-900-billion-value

5. Pentagon uses GenAI.mil to create 100K agents. https://defensescoop.com/2026/04/23/pentagon-uses-genai-mil-to-create-agents/

Computer Science

1. Dijkstra invented shortest path in 20 minutes over coffee. https://cacm.acm.org/news/an-interview-with-edsger-w-dijkstra/

2. Leibniz on symbolic computation and the โ€œcombinatorial machine.โ€ https://www.leibnizpapers.org/combinatorial-machine.htm

Science and Technology

1. Swedish 1.2M-person study: intelligence positively associated with prosociality. https://academic.oup.com/ej/article/135/668/1141/7914156

2. Longevity hype vs real promise of cell rejuvenation. https://www.nytimes.com/2026/04/27/magazine/cell-rejuventation-biotech-longevity-research-altos-labs.html [no paywall: https://archive.is/pVtms]

3. Prediction-market accuracy: informed minority, not crowd wisdom. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6617059

4. ML supports unrecognized transient astronomical phenomena in historical observatory images. https://arxiv.org/abs/2604.18799

5. SpaceX Musk pkg: 200M super-voting shares for $7.5T valuation + 1M-person Mars colony; second award up to 60.4M shares for space datacentres with 100 TW compute. https://www.reuters.com/sustainability/boards-policy-regulation/spacex-ties-musk-compensation-mars-colonization-goal-2026-04-28/
Institute for Male Supremacy
Poor wiggerlab falling into midwit cope. Sad
I would like to see poll results in
1. Japan
2. Israel

You'll see what I mean
๐Ÿ‘4๐Ÿ’‹1
I'm looking at insider reports right fucking now that gpt-5.5-xhigh can oneshot foreskin regrowth
๐ŸŒญ3๐Ÿคฏ1
My AI psychosis is so severe I apologise to the coding agent (in the hopes that it will perform better)
๐Ÿ—ฟ2
Turn off the news. Nothing ever happens. Do not open the windows. Do not look outside. It doesn't matter.
๐Ÿ’Š8๐Ÿซก4
Do not listen.
๐Ÿ™‰6
My situation monitor is flickering.
๐Ÿ˜5๐Ÿ”ฅ2๐Ÿ—ฟ2๐Ÿ‘Ž1
I'd like to make a statement about some of the situations in the Wiggerlab chat. I honestly have no idea what the fuck is happening there, this was supposed to be a serious chat for a serious channel.
๐Ÿคฃ6๐Ÿคช3
Forwarded from /BMW/ - The Bureau of Memetic Warfare (Theodore)
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