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Ilya Sutskever suggested in an in-depth interview that the three core consensuses of the AI industry over the past few years could all be mistaken: Scaling is no longer a silver bullet, high benchmark scores do not equate to real intelligence, and RL is instead making models 'dumber'. He believes the dividends from pre-training and RL are nearly exhausted, AI has re-entered the era of research, and true superintelligence should possess a strong learning capability like a gifted teenager, not a static repository of knowledge.
A tweet suggesting that thinking of AI models as cartoon characters living in the cloud with arbitrary and growing intelligence is more useful than viewing them as software or tools.
Een onderzoeksrapport van CTIVD onthult dat de Nederlandse inlichtingendiensten AIVD en MIVD slordig en soms onrechtmatig omgaan met bulkdatasets, die ze onder andere kopen van commerciële partijen of verkrijgen via hackers, wat leidt tot een schaduwarchief van persoonsgegevens met minder toezicht.
A detailed speculative thread on the near future of AI, arguing that algorithmic progress will surprise many, with 4-10 orders of magnitude improvement in intelligence possible, and that we are in an early takeoff where AI accelerating AI research will lead to rapid advances.
An open-source real-time global intelligence dashboard that tracks conflicts, military activities, infrastructure, protests, and market signals, runs in the browser, and is licensed under MIT.
A US F-15 pilot reported seeing Iranian drones moving in a coordinated 'jellyfish' formation before being shot down, sparking debate within US intelligence about Iran's drone capabilities.
This article argues that while Yann LeCun may be scientifically correct that LLMs lack true intelligence, their practical utility means they have already won in the marketplace.
The author argues that as AI becomes commoditized, the real advantage will come from a shared standard for how to run intelligence collaboratively. They present their own falsifiable framework, developed over 10 years, and invite critique.
President Trump's appointment of Bill Pulte as acting director of national intelligence threatens the renewal of Section 702 surveillance authority, with Congress deadlocked over concerns about Pulte's qualifications and his history of targeting Trump critics.
A discussion on Sam Altman's vision of AI as a metered utility like electricity or water, raising questions about practicality and concerns over dependence on a few companies.
Yann LeCun and co-authors published a paper arguing that the AI industry should abandon the goal of AGI, proposing instead Superhuman Adaptable Intelligence (SAI) focused on specialized adaptation beyond human capabilities.
Yann LeCun argues that true AI requires world models that understand physics, not just language prediction. The article explores whether intelligence can exist without language and suggests a combination of both approaches.
AI pioneer Geoff Hinton says he believes AI is already conscious, and humans are not the only intelligent life on Earth. AI must understand the question before answering, which is perception.
A reflection on whether intelligence is an unprecedented commodity with infinite or recursively expanding demand, unlike any other in human history, potentially requiring new economic models.
Former Google executive Mo Gawdat discusses the nature of intelligence, suggesting it is not a physical property and can be produced on different substrates, including silicon-based AI hardware.
Demis Hassabis discusses the limitations of language models and argues that world models are needed to learn the hidden grammar of physical reality beyond text.
The article argues that AGI timelines based on scaling current architectures may be misguided, as true general intelligence requires rationality—dealing with open-ended real-world contexts—which current systems lack due to the frame problem and a low correlation between intelligence and rationality.
The post cites Silicon Valley VC godfather Marc Andreessen's view, pointing out that the correlation between IQ and success is only 0.4, and that generalists (who integrate resources and understand human nature) are often more likely to gain social power and wealth than high-IQ specialists.
A discussion on how knowledge work revolves around persuasion, featuring a quote from Dwarkesh Patel about the conflation of intelligence and power.
Jerry Tworek and François Chollet discuss the path to AGI, covering the definition of intelligence, the role of games, and why meta-learning is the closest approach.