Huh, fascinating: https://opencollective.com/opensource/updates/public-service-announcement-re-salt-typhoon Following this development with interest.
Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making
Kaitao Chen, Mianxin Liu, Daoming Zong, Chaoyue Ding, Shaohao Rui, Yankai Jiang, Mu Zhou, Xiaosong Wang
https://arxiv.org/abs/2508.05996
In a September 5 filing in the US v. Google ad tech trial, Google said "the open web is already in rapid decline", contradicting Google's recent statements (Barry Schwartz/Search Engine Roundtable)
https://www.seroundtable.com/google-open-web-is-in-r…
In a September 5 filing in the US v. Google ad tech trial, Google said "the open web is already in rapid decline", contradicting Google's recent statements (Barry Schwartz/Search Engine Roundtable)
https://www.seroundtable.com/google-open-web-is-in-r…
Effective Training Data Synthesis for Improving MLLM Chart Understanding
Yuwei Yang, Zeyu Zhang, Yunzhong Hou, Zhuowan Li, Gaowen Liu, Ali Payani, Yuan-Sen Ting, Liang Zheng
https://arxiv.org/abs/2508.06492
After seeing a workshop using a crappy pseudo/proprietary forensic web capture toolkit for law enforcement, I was disappointed by the lack of open source tooling to have a sane forensic collection for web capture. Following a discussion with @… he did an implementation to add web forensic acquisition in
Wolf admits sheep population is in ‘rapid decline’. https://flipboard.com/@thenewsdesk/business-nbfr4cs7z/-/a-1AhrCxHAS1i_bbcq3SK6Hw:a:43591897-/0
Even if “AI” worked (it doesn’t), there’s many reasons why you shouldn’t use it:
1. It’s destroying Internet sites that you love as you use chat bots instead of actually going to sources of information—this will cause them to be less active and eventually shut down.
2. Pollution and water use from server farms cause immediate harm; often—just like other heavy industry—these are built in underprivileged communities and harming poor people. Without any benefits as the big tech companies get tax breaks and don’t pay for power, while workers aren’t from the community but commute in.
3. The basic underlying models of any LLM rely on stolen data, even when specific extra data is obtained legally. Chatbots can’t learn to speak English just by reading open source code.
4. You’re fueling a speculation bubble that is costing many people their jobs—because the illusion of “efficiency” is kept up by firing people and counting that as profit.
5. Whenever you use the great cheat machine in the cloud you’re robbing yourself from doing real research, writing or coding—literally atrophying your brain and making you stupider.
It’s a grift, through and through.
ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models
Ziqi Zhong, Xunzhu Tang
https://arxiv.org/abs/2506.22865 https://