Fair AI News

Some year after 2040.

AGI will end humanity before such a consensus will be reached

2029

2030

2028

2031

2032

Such a consensus will never be reached because such an AI is not possible to create

2025

2026

2027

2033

2024

2034

2037

2023

2035

2036

2038

2039

NO

YES

NO

NO

NO

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

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

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

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

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

#148 – Johannes Ackva on unfashionable climate interventions that work, and fashionable ones that don't

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

#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

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

#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

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

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

#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

#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

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

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

#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

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

YES

YES

NO

YES

NO