Santosh News

Fabiano Caruana

Praggnanandhaa R

Hikaru Nakamura

Ian Nepomniachtchi

Nodirbek Abdusattorov

Arjun Erigaisi

Alireza Firouzja

Magnus Carlsen

Gukesh D

Wei Yi

Other

Ding Liren

Wesley So

Viswanathan Anand

Sergey Karjakin

Leinier Dominguez Perez

Anish Giri

Shakhriyar Mamedyarov

Jan-Krzysztof Duda

Parham Maghsoodloo

Maxime Vachier-Lagrave

Quang Liem Le

Levon Aronian

Veselin Topalov

Teimour Radjabov

Vidit Santosh Gujrathi

Vincent Keymer

Yu Yangyi

Alexander Grischuk

Richard Rapport

Vladislav Artemiev

Alexey Sarana

Daniil Dubov

Wang Hao

M. Amin Tabatabaei

#149 – Tim LeBon on how altruistic perfectionism is self-defeating

#151 – Ajeya Cotra on accidentally teaching AI models to deceive us

#169 – Paul Niehaus on whether cash transfers cause economic growth, and keeping theft to acceptable levels

#170 – Santosh Harish on how air pollution is responsible for ~12% of global deaths — and how to get that number down

#150 – Tom Davidson on how quickly AI could transform the world

#152 – Joe Carlsmith on navigating serious philosophical confusion

#153 – Elie Hassenfeld on two big picture critiques of GiveWell's approach, and six lessons from their recent work

#154 – Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters

#155 – Lennart Heim on the compute governance era and what has to come after

#156 – Markus Anderljung on how to regulate cutting-edge AI models

#157 – Ezra Klein on existential risk from AI and what DC could do about it

#158 – Holden Karnofsky on how AIs might take over even if they're no smarter than humans, and his 4-part playbook for AI risk

#159 – Jan Leike on OpenAI's massive push to make superintelligence safe in 4 years or less

#161 – Michael Webb on whether AI will soon cause job loss, lower incomes, and higher inequality — or the opposite

#162 – Mustafa Suleyman on getting Washington and Silicon Valley to tame AI

#163 – Toby Ord on the perils of maximising the good that you do

#166 – Tantum Collins on what he's learned as an AI policy insider at the White House, DeepMind and elsewhere

#168 – Ian Morris on whether deep history says we're heading for an intelligence explosion

#171 – Alison Young on how top labs have jeopardised public health with repeated biosafety failures

#173 – Jeff Sebo on digital minds, and how to avoid sleepwalking into a major moral catastrophe

#174 – Nita Farahany on the neurotechnology already being used to convict criminals and manipulate workers

#176 – Nathan Labenz on the final push for AGI, understanding OpenAI's leadership drama, and red-teaming frontier models

#160 – Hannah Ritchie on why it makes sense to be optimistic about the environment

#164 – Kevin Esvelt on cults that want to kill everyone, stealth vs wildfire pandemics, and how he felt inventing gene drives

#165 – Anders Sandberg on war in space, whether civilisations age, and the best things possible in our universe

#175 – Lucia Coulter on preventing lead poisoning for $1.66 per child

#145 – Christopher Brown on why slavery abolition wasn't inevitable

#146 – Robert Long on why large language models like GPT (probably) aren't conscious

#167 – Seren Kell on the research gaps holding back alternative proteins from mass adoption

#172 – Bryan Caplan on why you should stop reading the news

#144 – Athena Aktipis on why cancer is actually one of the fundamental phenomena in our universe

#147 – Spencer Greenberg on stopping valueless papers from getting into top journals

Gukesh D

Fabiano Caruana

Praggnanandhaa R

Hikaru Nakamura

Nodirbek Abdusattorov

Arjun Erigaisi

Ian Nepomniachtchi

Ding Liren

Magnus Carlsen

Wei Yi

Anish Giri

Alireza Firouzja

Daniil Dubov

Other

Wesley So

Viswanathan Anand

Sergey Karjakin

Leinier Dominguez Perez

Shakhriyar Mamedyarov

Jan-Krzysztof Duda

Parham Maghsoodloo

Maxime Vachier-Lagrave

Quang Liem Le

Levon Aronian

Veselin Topalov

Teimour Radjabov

Vidit Santosh Gujrathi

Vincent Keymer

Yu Yangyi

Alexander Grischuk

Richard Rapport

Vladislav Artemiev

Alexey Sarana

Wang Hao

M. Amin Tabatabaei