Based also on what Bruce Schneier recently wrote about AI security, there's no real way to secure against these kind of attacks without restricting LLMs to the point of making them much less useful.
https://www.promptarmor.com/resources/claude-cowork-exfiltrates-files
EU lawmakers are poised to halt approval of trade deals with the U.S. over Donald Trump’s vow to impose tariffs on countries that supported Greenland in the face of American threats. https://www.japantimes.co.jp/business/2026/01/18/economy/eu-us-trade-deal-trump-greenland/?utm_medium=Social&utm_source=mastodon #business #economy #us #donaldtrump #greenland #eu #europe #tariffs #trade #denmark
Saint Thecla, a second-century woman, survived being burned at the stake, faced lions and killer seals in an arena, and became an early example of women preaching and baptizing. https://theconversation.com/thecla-the-beast-fighter-the-saint-who-faced-down-lions-and-killer-seals-is-one-of-many-leading-ladies-in-early-christian-texts-270346
Beef cattle production accounts for 3.7% of U.S. greenhouse gas emissions. Experts in cow burps and meat processing say the industry can become more sustainable by experimenting with virtual fencing, feed additives to reduce methane and using every part of the animal. https://theconversation.com/colorado-ranchers-and-consumers-can-team-up-to-make-beef-supply-chains-more-sustainable-272582
First came artists. They made art. You could've liked it or not, but it had an impact of some sort, felt or not.
Then came designers. They had to make good works. They studied what good means and tried to master it. They didn't always succeed but they got better with practice and rarely produced real embarrassments.
Finally came engines and models. They just produced content. It had to be coming out daily. Few bothered to read it, let alone assess or judge it.
Mladenov – who has worked as a United Nations diplomat in the Middle East – is seen as an administrator, but one who may not be capable of pushing back against Israel and representing Palestinians in Gaza.
Academia loves to celebrate interdisciplinary research, but its career system quietly pushes many interdisciplinary scholars out.
College graduates earn $1.2 million more over their lifetime than high school graduates, and unemployment rates are half as high. But as skepticism about college grows, universities need to weave creativity and invention into undergraduate education to prove their value.
Schools have long taught that humans populated North America around 12K yrs ago by crossing the Bering land bridge. This story supports settler colonialism, and contradicts #Indigenous stories, which offer memories of human habitation here during the last glacial maximum.
Also, the Bering land bridge story falls apart when you find out about the century of archaeological evidence academia has vigorously suppressed.
Read more in my new essay. 👇
https://www.hcn.org/issues/58-1/what-does-time-immemorial-really-mean/
This are everyday heroes, risking their lives for justice. Sadly, having found a life-sacrificing way to advance their fight. As a society we have a moral obligation to make their goals attainable without resorting to suicide.
https://www.aljazeera.com/news/2026/1/13/uk-hunger-striker-heba-muraisi-i-think-about-how-or-when-i-could-die
Why We Don't Use #AI
Great to see that @hennavirkkunen, the @EUCommission Vice-President for Tech Sovereignty, Security and Democracy joined Mastodon: Welcome!
There are now sufficiently many different examples of Erdos problems that have been resolved with various amounts of AI assistance and formal verification (see https://github.com/teorth/erdosproblems/wiki/AI-contributions-to-Erd%C5%91s-problems for a summary) that one can start to discern general trends.
Broadly speaking, we now see an empirical tradeoff between the level of AI involvement in the solution, and the difficulty or novelty of that solution. In particular, the recent solutions have spanned a spectrum roughly describable as follows:
1. Completely autonomous AI solutions to Erdos problems that are short and largely follow a standard technique. (In many, but not all, of these cases, some existing literature was found that proved a very similar result by a similar method.)
2. AI-powered modifications of existing solutions (which could be either human-generated or AI-generated) that managed to improve or modify these solutions in various ways, for instance by upgrading a partial solution to a full solution, or optimizing the parameters of the proof.
3. Complex interactions between humans and AI tools in which the AI tools provided crucial calculations, or proofs of key steps, allowing the collaboration to achieve moderately complicated and novel solutions to open problems.
4. Difficult research-level papers solving one or more Erdos problems by mostly traditional human means, but for which AI tools were useful for secondary tasks such as generation of code, numerics, references, or pictures.
(1/2)
See here for examples:
bsky.app/…/unitedkingdom.feddit.uk.ap.brid.gy
retrolemmy.com/post/31790836/17287584
There is still more testing and development needed, check the issue for more details.
I think I now know where to draw the line between "good" and "bad" #GenAI, and possibly (or rather obviously) the same for #machineLearning. It's simply whether the input data has been constructed rigorously. Put this way it's the most obvious statement ever, but somehow #BigTech have convinced us all that they advance research by recklessly scraping #twitter, #4chan and who knows what else (they keep their training data secret).
What is good science in computational linguistics? Well, open data is a step towards it. But open and crap is not a solution. We need to actually _know_ and manage the data. And nobody in their right mind would want to plough through toxic data to clean it. We've all heard the horrors of Kenyan data workers who do it for money and still suffer doing it.
But better (yes, also smaller) corpora are of interest to scholars in the humanities and the social sciences. Think of https://textcreationpartnership.org or https://mlat.uzh.ch. Yes, they are too big for individual researchers or even teams to handle, but we have the organisational and technological infrastructure to work on them collectively. We've been doing it for ages and we will continue doing it. We just need to do it together.
And this is the goal of the European Research Council project proposal I'm submitting in this very moment.
For anyone wishing to start the year off making a DOS game restricted by one of the most minimalist video standards in PC history, have I got a jam for you! This runs to the end of February and all CGA DOS games are welcome, regardless of stage of development!
#gamejam #dosgamejam #dos #cga #itch #indiedev #gamedev
https://itch.io/jam/cga-game-jam-2026
NEW: The Palantirisation of the UK military is a national security disaster. Peter Thiel is now the third wheel in the US-UK ‘special relationship’. 1/ open.substack.com/pub/broligar...
With agentic AI embedded at the OS level, databases storing entire digital lives accessible to malware, tasks whose reliability quickly breaks down at each step, and being opted-in without consent, @signalapp leadership, @Mer__edith and Udbhav Tiwari, are sounding the alarm for the industry to pull back until threats can be mitigated.
Studying how people interact, in the past (#CulturalAnalytics) and today (#EdTech #Crowdsourcing). Researcher at @IslabUnimi, University of Milan. Bulgarian activist for legal reform with @pravosadiezv. I use dedicated accounts for different languages.
My profile is searchable with https://www.tootfinder.ch/