Can a #touristban REALLY fix a broken #MPA system? 🧐 Our new #IslasMarietas study PROVES it can. We documented the shift to better rules, more trust, & recovering #reefs at the Mexican park after its 2016 closure. https://t.co/yU31mdK3nW #GovernanceThatWorks#Anthropocene
🗞️ Google DeepMind's paper has some great advice on how we should actually give tasks to AI.
It is not just about telling an AI to do something and hoping for the best. Instead, this framework looks at delegation as a string of choices where you figure out if you should even hand the task over, how to explain it, and how to check the work afterward.
Current systems rely on rigid rules that break when things fail unexpectedly. The researchers suggest building a dynamic market where agents bid on tasks using smart contracts.
This requires strict monitoring and cryptographic proofs to guarantee correct work without leaking private data.
Instead of trusting a simple rating, agents will use verifiable digital certificates to prove their exact skills.
- Keeping things flexible when things change
This new system is built to be adaptive rather than stuck in its ways. It treats the handoff as a live process where authority and responsibility can shift around in real time. If the situation changes or something breaks, the framework helps manage that failure so the whole project does not go off the rails. It works for both humans giving tasks to AI and for when AI needs to handle things on its own.
- Finding the right amount of trust
One of the coolest parts is how it handles trust. They made formal trust models that look at how hard a task is and how well the AI has done in the past. This stops people from "over-delegating," which is when you give an AI something it is not ready for. It also stops "under-delegating," which happens when you do all the work yourself even though the AI could have handled it easily.
- Double checking the work
You cannot just take an AI's word for it, so this framework has specific ways to validate the output. It sets up rules for when to accept an answer based on how confident the AI is. It also has backup plans ready to go if the AI fails. This is super important for real world jobs where trusting a machine blindly could cause a bunch of errors to pile up.
- When AI agents hire other AI agents
The framework also covers what happens when 1 AI agent hands a task to another AI agent. The system tracks who is actually accountable and makes sure the right authority is passed down the line so nothing gets lost in the network.
- Making sure the work actually fits
It is a step by step approach to make sure the AI's contribution actually makes sense for the bigger goal. By treating this as a structured process, they are making it much safer for companies to use AI in their daily operations without worrying about constant mistakes.
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arxiv. org/abs/2602.11865
"Intelligent AI Delegation"
I think it is really worth reading this piece on RSI at Anthropic.
There is a bit of navel-gazing, some marketing, and a lot of very sincere beliefs about what Anthropic thinks is likely in the near future of AI that you probably want to be aware of. https://t.co/A5yxryBjHv
El maestro Héctor se desempeñaba como profesor investigador en la Facultad Latinoamericana de Ciencias Sociales México (FLACSO)
https://t.co/47HsbWV43F
Una buena investigación no empieza con respuestas, sino con una hipótesis clara. 📈
Conoce qué es, cómo se formula y por qué es clave para obtener resultados confiables.
🔗 https://t.co/qiCrrXFarZ
#InvestigaciónDeMercados#DataDriven#Berumen
“The multilateral system is being weakened by the countries that created it.”
@JuanManSantos spoke to @aljazeeraenglish about Colombia, lessons from the FARC agreement and the weakening of the international rule of law on the world stage.
Listen to the full interview here: https://t.co/j5Nqm1OTlq
Miles de personas son rechazadas de un empleo sin que nadie haya leído realmente su trayectoria. No por falta de capacidad, sino por su edad, su nombre, su fotografía, su género, su lugar de origen o por encajar —o no— en una idea preconcebida de quién “debería” ocupar un puesto. La discriminación laboral más eficaz no es la que se anuncia; es la que opera en silencio.
Por eso la propuesta del CV ciego merece atención. Su aportación no está en esconder identidades, sino en obligar a que el primer juicio recaiga sobre el mérito. Es una idea sencilla pero poderosa: antes de preguntar quién eres, habría que preguntarse qué sabes hacer. Antes de mirar el rostro, habría que mirar las capacidades.
https://t.co/SPXndI6Vxa
📰"Las urbes competitivas ofrecen un mercado de trabajo formal y productivo, entorno de seguridad que atrae talento y gobierno local con capacidad de acción."
Lee la nota de @eleconomista sobre el #ICU2026🏙️ en: https://t.co/fTETi4tLLL
We believe AI can be a dedicated research partner to help discover the next breakthrough.
Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵
Many more students may find themselves relying on AI to qualify for a profession increasingly threatened by it. Curious as to why? Register to continue reading (it’s free): https://t.co/hIF8bwQx0u
Call for Papers 📢
Special Issue: Advancing Metacoupling Frontiers for Addressing Global Sustainable Development Challenges in the Anthropocene
Research on human–nature interactions, telecoupling, sustainability & coupled systems science welcomed.
📅 Deadline: 30 Sept 2026
Many more students may find themselves relying on AI to qualify for a profession increasingly threatened by it. Curious as to why? Register to continue reading (it’s free) https://t.co/ujgBOItm26
El Niño is arriving on our doorstep in the coming months with 90% certainty.
The world must treat it as the urgent climate warning it is.
The only effective response is #ClimateAction equal to the crisis – ending the addiction to fossil fuels, accelerating the shift to renewables, protecting the most vulnerable, and delivering early warning systems for all.
https://t.co/owmmCChyb3
¿Deben las empresas participar en la construcción de políticas públicas? La pregunta, detrás de su aparente sencillez, esconde un terreno complejo: posiciones ideológicas encontradas, experiencias fallidas y oportunidades mal aprovechadas.
https://t.co/mAUePv2lQV
Me parece que ahora hay que pasar de la tristeza a la exigencia de justicia por el crimen de Raúl Pacheco-Vega, según lo consigna esta nota. No puede ser un asesinato más que queda impune en este miserable país. Ir hasta a las últimas consecuencias.
https://t.co/3QjCK92EZW
Paradoja IA 2022-2024:
Trabajo-Matriculación en graduados recientes
Reducción de EMPLEO: correlación negativa,mayor exposición a IA (informática e ingeniería), mayor reducción
MATRICULACIÓN: disciplinas con menor exposición a IA, tienen menos descensos
https://t.co/Q55tB9LSLF
"I think we’re approaching a time where the trust in behavioural and social sciences will be undermined by this constant threat of LLM pollution,” says psychologist Björn Hommel. “And there’s nothing that we are able to do about it right now.”
https://t.co/6Rw0QzY0Sw