South Korea’s SK Hynix is betting $74.6 billion on a move that could reshape the semiconductor industry and the future of AI computing.

Summary: Advances in organoids and embryonic models raise questions about human individuality. A new study argues these models can reinforce, not weaken, the concept of human individuality when viewed through personhood and sentience frameworks.
Researchers emphasize that current technologies are far from achieving personhood in embryo models or organoids. The ethical focus should remain on the wellbeing of actual persons and sentient beings.
From human intelligence collection to information gathered in the open, the CIA is leveraging generative artificial intelligence for a wide swath of its intelligence-gathering mission set today, and plans to continue to expand upon that into the future, according to the agency’s AI lead.
The CIA has been using AI for things like content triage and “things in the human language technology space — translation, transcription — all the types of processing that need to happen in order to help our analysts go through that data very quickly” as far back as 2012, when the agency hired its first data scientists, Lakshmi Raman, the CIA’s director of AI, said during an on-stage keynote interview at the Amazon Web Services Summit on Wednesday in Washington, D.C.
On top of that, AI — particularly generative AI in recent years — has been an important tool for the CIA’s mission to triage open-source intelligence collection, Raman said.
“If you look at the trajectory of improvement, GPT-3 was maybe toddler level intelligence, systems like GPT-4 are smart high schooler intelligence and in the next couple of years we’re looking at PhD level intelligence for specific tasks,” she said during a talk at Dartmouth.
Some took this to suggest we’d be waiting two years for GPT-5 but looking at other OpenAI revelations, such as a graph showing ‘GPT-Next’ this year and ‘future models’ going forward and CEO Sam Altman refusing to mention GPT-5 in recent interviews — I’m not convinced.
The release of GPT-4o was a game changer for OpenAI, creating something entirely new from scratch that was built to understand not just text and images but native voice and vision. While it hasn’t yet unleashed those capabilities, I think the power of GPT-4o has led to big changes.
NVIDIA’s CEO Jensen Huang believes that the AI frenzy will automate a whopping $50 trillion worth of companies, stating that Blackwell will play a dominant role.
NVIDIA Isn’t Taking The Foot of The AI Accelerator Pedal Any Time Soon, Plans To Take Blackwell’s Adoption To a Whole New Level
NVIDIA has undoubtedly managed to pick up a market that will progress rapidly in the future. Not only is every big tech firm, whether Microsoft or Amazon, forced into the race of “AI automation,” but the demand for adequate computing power is rising massively.
For decades, inflation has been the dominant cosmological scenario, but recently the theory has been subject to competition and critique. Two renowned pioneers of inflation — Alan Guth and Andrei Linde — join Brian Greene to make their strongest case for the inflationary theory.
This program is part of the Big Ideas series, supported by the John Templeton Foundation.
Participants:
Alan Guth.
Andrei Linde.
Moderator:
Brian Greene.
00:00 — Introduction.
05:58 — Participant introductions.
08:23 — Problems with the Big Bang.
28:07 — Realizing the Inflationary Paradigm.
42:13 — Observational Support for the Inflationary Theory.
56:37 — Eternal Inflation and the Measure Problem.
01:17:09-The Future of Cosmology.