Tootfinder

#ListeningClub That was my pick. Very early Six Organs of Admittance when he was transitioning out of Comets on Fire. https://hermithut.bandcamp.com/album/dust-and-chimes

Conduct, which uses AI to let companies maintain, change, and modernize their legacy IT systems, raised a $60M Series A, bringing its total funding to $72M (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2026/06/17/conduct-en…

Exclusive: Conduct raises $60M to make software better
Index Ventures and ICONIQ led the round which will help Conduct move into the U.S.

Before everybody get's too excited about available Chinese open weights models, the infrastructure costs for running these models are immense, it's hard to find specific and reliable data but think about half a million dollars of infrastructure costs for 5-15 users according to this linkedin post.

Kimi K3 just dropped. 2.8 trillion parameters, 1M-token context window, open weights. Capabilities comparable to Fable 5. 🔥 And every enterprise buyer is doing the same math right now. Here is… | Miklos Toth
Kimi K3 just dropped. 2.8 trillion parameters, 1M-token context window, open weights. Capabilities comparable to Fable 5. 🔥 And every enterprise buyer is doing the same math right now. Here is what running it yourself actually costs: - 16x NVIDIA H200 GPUs: ~$500,000. That's GPUs only. No chassis, no networking, no power infrastructure. - Model weights on disk: 1 to 1.7TB depending on quantization. - What's left for actual context: somewhere between 550 and 1,250GB of KV cache. Translat…

Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
Cameron Dong, James W. Hurrell, Elizabeth A. Barnes
https://arxiv.org/abs/2605.23776 https://arxiv.org/pdf/2605.23776 https://arxiv.org/html/2605.23776
arXiv:2605.23776v1 Announce Type: new
Abstract: Stratospheric aerosol injection (SAI), a possible climate engineering strategy where reflective particles are injected into the stratosphere, has been explored to mitigate global warming and its associated risks, such as the intensification of extreme precipitation events. However, current Earth system models (ESMs) often used to simulate SAI and other climate change scenarios are too coarse to properly assess such risks. Traditional statistical downscaling methods, used to project higher resolution impacts, may be biased and unrealistic. To address this, we train a deep learning diffusion downscaler to generate 0.25{\deg} contiguous United States (CONUS) daily precipitation using historical and future climate simulations from the Mesoscale Atmosphere-Ocean Interaction in Seasonal-to-Decadal Climate Prediction (MESACLIP) project, then apply the diffusion downscaler to out-of-distribution CESM2 simulations with and without SAI. The diffusion model generates realistic downscaled precipitation using either MESACLIP or CESM2 inputs. It also faithfully recreates the climate change projections of extreme precipitation in MESACLIP. Diffusion-downscaled projections of the future CESM2 SAI scenarios suggest that SAI could nearly cut in half the CONUS-average increase in yearly max precipitation, compared to the non-SAI scenario. However, there is considerable regional variation and internal variability, with SAI modeled to only slightly reduce increases in extreme precipitation frequency in the Mid Atlantic and the Pacific Northwest, but mitigating most intensification in other regions. Future application of diffusion downscaling to a wider variety of SAI scenarios would provide valuable insight into how proposed SAI strategies may affect precipitation variability on fine spatial scales for regional impact assessments.
toXiv_bot_toot

❔ How can climate mobility function as a proactive strategy for women and marginalised groups? What influences decision-making processes to migrate or to stay? What do governments and stakeholders need to do to increase women's agency?
📝 New Paper Published:
Human mobility as a climate and disaster risk management strategy: Addressing intersectional vulnerability and enhancing women's agency
🔗

@… the short URL using the word "slop" implies prejudice, I'll not boost. Can you change your post to use a less biased URL?
The page to which it redirects does not use the word slop. It begins:
"This survey is part of a research study conducted by Prof. Anita Sarma at the School of Electrical Engineering and Compute…

Check out today's Metacurity for the most critical infosec developments you may have missed since Friday, including
--OpenAI missed rogue agent,
--Hugging Face breach reshapes open-v-closed AI,
--Firms abandon AI lab loyalty,
--Open-weight AI's Kubernetes moment
--China pushes open-weight AI,
--Washington splits on Chinese AI,
--N. Korea expands its intelligence apparatus,
--Hackers hijack hotel Wi-Fi to steal Microsoft 365 accounts,
--DOJ tests privacy limits with GrapheneOS prosecution,
--Malware found in Steam’s biggest indie game,
--Google unveils a simpler threat actor naming scheme,
--Dutch Olympic speed skating venue hit by The Gentlemen,
--Tribeca Festival leak exposed celebrity contact information,
--Companies return to entry-level human hiring in the AI era,
--Comic-Con bans Meta smart glasses,
--AI guardrails fail on mass-casualty prompt
https://www.metacurity.com/ai-watch-openais-hacking-agent-breach-signals-a-fracturing-ai-order/

Report: DeepSeek's first external funding round has a non-negotiable term that investors should not poach its staff or encourage them to start own companies (CNBC)
https://www.cnbc.com/2026/06/18/no-poaching-our-people-chinas-deepsee…

‘No poaching’ our people, China's AI behemoth DeepSeek reportedly tells investors
The unusual precondition underscores how the contest among Chinese tech giants to build advanced AI has tipped into open competition for engineers.

Conduct, which uses AI to let companies maintain, change, and modernize their legacy IT systems, raised a $60M Series A, bringing its total funding to $72M (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2026/06/17/conduct-en…

The US sentences Guo Wengui, a self-exiled billionaire Chinese tycoon who defrauded his online followers out of hundreds of millions, to 30 years in prison (Associated Press)
https://apnews.com/article/guo-wengui-chinese-businessman-fraud-3deb…

US judge gives self-exiled Chinese billionaire Guo Wengui 30-year prison term for fraud
A self-exiled billionaire Chinese business tycoon has been sentenced to 30 years in prison for his fraud conviction. Judge Analisa Torres sentenced Guo Wengui on Monday in Manhattan federal court, saying he still insists incredibly that his conduct caused no loss and harmed no one. Given a chance to speak, Guo said he came to the U.S. to destroy the Chinese Communist Party. But the judge said he instead diverted investor money to live lavishly. Guo left China a decade ago and reinvented himself…