ML, cybersec, evolution and combinations thereof.
Co-director of the GenLearning Center at HES-SO Valais/Wallis(https://tinyurl.com/hevs-gen-learning), Apertus security lead, editor of "LLMS in Cybersecurity", @cydcampus ex-fellow,
All opinions are mine
He/Him
#FediScience #Cybersecurity, #ML, #MLSec
| PGP | D7D4AC64 |
| Web | https://andreikucharavy.com |
| Matrix | @chiffa_sec:infosec.exchange |
| alt | https://infosec.exchange/@chiffa_sec |
So to recap:
•Trump illegally bombed Iran.
•Iran responded by closing the Straight of Hormuz, thus spiking oil prices.
•Trump is now responding by lifting sanctions on Iranian oil, thus funding the regime he's bombing—all as the Straight of Hormuz remains closed.
So in short, Trump bombed Iran, raised oil prices for Americans, and gave Iran more money. Masterful gambit by the author of the Art of the Deal.
Are we great yet?
OpenAI is buying Astral https://openai.com/index/openai-to-acquire-astral/
1. I'm happy Astral got their exit (which we all knew was the end goal)
2. I'm glad no one will accuse me of trying to kill the company anymore by working on standards or saying there are other workflow tools
3. I'm taking a wait-and-see view (e.g. Astral already said more AI is coming to their tools https://blog.pamelafox.org/2026/03/learnings-from-pyai-conference.html#:~:text=Astral%20is%20also%20re%2Dprioritizing%20based%20off%20the%20move%20towards%20100%25%20agentic%20coding%2C%20with%20less%20emphasis%20on%20tools%20that%20would%20be%20used%20solely%20by%20a%20developer%20who%20is%20manually%20typing.)
4. I'm going to continue to work on standards for a baseline workflow experience to make my kid happy someday
Energy fallout from Iran war signals a global wake-up call for renewable energy
https://apnews.com/article/middle-east-wars-renewable-energy-asia-4b5fe0693ce5816472c905db85f7da6e?utm_source=flipboard&utm_medium=activitypub
Posted into Business and Finance @business-and-finance-AssociatedPress
The Iran war is exposing how much the global economy still depends on fragile fossil fuel supplies. The conflict has virtually choked off the Strait of Hormuz, a vital shipping lane for a fifth of the world’s oil and liquefied natural gas. That's shaking up markets and pushing prices higher. Countries reliant on imported fossil fuels — from wealthy industrial economies to poorer developing nations — are facing major disruptions that can quickly ripple through utility bills, food prices, transport costs and electrical grids. Analysts say the crisis is a stark reminder that energy security is not just about stockpiles and shipping, but also about the lagging transition to renewable energy.
RE: https://wandering.shop/@xgranade/116257004378454654
This is garbage. `uv` is the best tool for the job in the Python ecosystem but it being developed and maintained by a startup (with no path to sustainable funding) this was basically inevitable.
People underestimate the bad position open source is in currently and how much of that space is annexed
RE: https://infosec.exchange/@josephcox/116256386324754543
Shot: "Kantor told 404 Media that artificial intelligence is writing more than half the app’s code these days"
Chaser:
https://mastodon.social/@josephcox@infosec.exchange/116256386410352613
Sur les routes d’une Ukraine dévastée
Nourri de rencontres, le « voyage » de Volodymyr Yermolenko et Tetyana Ogarkova sert de support à leurs réflexions comme à voix haute, pour faire tenir les bouts de ce qui est en cours de déchirure, de transformation, parfois d’anéantissement. › https://www.mediapart.fr/journal/culture-et-idees/150326/sur-les-routes-d-une-ukraine-devastee?at_format=link&at_account=mediapart&at_campaign=mastodon&at_medium=custom7
AI agents that interact with the real world through tool calls pose fundamental safety challenges: agents might leak private information, cause unintended side effects, or be manipulated through prompt injection. To address these challenges, we propose to put the agent in a programming-language-based "safety harness": instead of calling tools directly, agents express their intentions as code in a capability-safe language: Scala 3 with capture checking. Capabilities are program variables that regulate access to effects and resources of interest. Scala's type system tracks capabilities statically, providing fine-grained control over what an agent can do. In particular, it enables local purity, the ability to enforce that sub-computations are side-effect-free, preventing information leakage when agents process classified data. We demonstrate that extensible agent safety harnesses can be built by leveraging a strong type system with tracked capabilities. Our experiments show that agents can generate capability-safe code with no significant loss in task performance, while the type system reliably prevents unsafe behaviors such as information leakage and malicious side effects.
SocProf
Qasim Rashid, Esq.
Lesley Carhart 
Brett Cannon
Associated Press
tante
Reed Mideke
Chris Adams
Mediapart