Lifeboat Foundation

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Our Universe is billions of years older than our planet, and we often contemplate alien civilizations that might have arisen early than us in our galaxy, but just how early could life have arisen?

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Continue reading “Civilizations at the Beginning of Time” »

Anthony Levandowski, the engineer at the heart of the Uber/Google lawsuit, is serious about his artificial intelligence religion.

O.o!!!

A black hole x-ray binary (XRB) system forms when gas is stripped from a normal star and accretes onto a black hole, which heats the gas sufficiently to emit x-rays. We report a polarimetric observation of the XRB Cygnus X-1 using the Imaging X-ray Polarimetry Explorer. The electric field position angle aligns with the outflowing jet, indicating that the jet is launched from the inner x-ray emitting region. The polarization degree is 4.01 ± 0.20% at 2 to 8 kiloelectronvolts, implying that the accretion disk is viewed closer to edge-on than the binary orbit. The observations reveal that hot x-ray emitting plasma is spatially extended in a plane perpendicular to the jet axis, not parallel to the jet.

TSMC is setting up a new 1-nm chip production facility that will be located in an industrial park in Longtan District in Taiwan.

https://www.youtube.com/watch?v=zr_viYEW7yk

Optimus, also known as Tesla Bot, is a general-purpose robotic humanoid under development by Tesla. The first prototype was announced at the company’s Artificial Intelligence (AI) Day event in September 2022!

Music:

Continue reading “The TRUTH about Tesla’s Optimus Robot!” »

Large Language Models have the ability to store vast amounts of facts about the world. But little is known, how these models actually do this. This paper aims at discovering the mechanism and location of storage and recall of factual associations in GPT models, and then proposes a mechanism for the targeted editing of such facts, in form of a simple rank-one update to a single MLP layer. This has wide implications both for how we understand such models’ inner workings, and for our ability to gain greater control over such models in the future.

OUTLINE:
0:00 — Introduction.
1:40 — What are the main questions in this subfield?
6:55 — How causal tracing reveals where facts are stored.
18:40 — Clever experiments show the importance of MLPs.
24:30 — How do MLPs store information?
29:10 — How to edit language model knowledge with precision?
36:45 — What does it mean to know something?
39:00 — Experimental Evaluation & the CounterFact benchmark.
45:40 — How to obtain the required latent representations?
51:15 — Where is the best location in the model to perform edits?
58:00 — What do these models understand about language?
1:02:00 — Questions for the community.

Continue reading “ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)” »

“China was leading the global recovery after the Covid-19 pandemic and accounted for half of worldwide robot installations in 2021,” said Marina Bill, President of the International Federation of Robotics. “Growth is strong across all industries with electrical and electronics being the dominant sector – up 30% to 81,600 installations. The automotive industry also showed a strong recovery. This was mainly driven by electric vehicle manufacturing in China. It rose by 89% in 2021 with 50,700 installations.”

Chinese government supports robotic automation

In China aging population’s demographics causes shortage of labor and drives the growth of robotic automation. The continued robotization of industries has been announced earlier this year by the government. The Five-Year plan for the robotics industry, released by the Ministry of Industry and Information Technology (MIIT) in Beijing, focuses on promoting innovation — making China a global leader of robot technology and industrial advancement.

Stability AI, the venture-backed startup behind the text-to-image AI system Stable Diffusion, is funding a wide-ranging effort to apply AI to the frontiers of biotech. Called OpenBioML, the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry.

The company’s founders describe OpenBioML as an “open research laboratory” — and aims to explore the intersection of AI and biology in a setting where students, professionals and researchers can participate and collaborate, according to Stability AI CEO Emad Mostaque.

“OpenBioML is one of the independent research communities that Stability supports,” Mostaque told TechCrunch in an email interview. “Stability looks to develop and democratize AI, and through OpenBioML, we see an opportunity to advance the state of the art in sciences, health and medicine.”