Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI

Gemini 3 Deep Think: Advancing science, research and engineering

Today, we’re releasing a major upgrade to Gemini 3 Deep Think, our specialized reasoning mode, built to push the frontier of intelligence and solve modern challenges across science, research, and engineering.

We updated Gemini 3 Deep Think in close partnership with scientists and researchers to tackle tough research challenges — where problems often lack clear guardrails or a single correct solution and data is often messy or incomplete. By blending deep scientific knowledge with everyday engineering utility, Deep Think moves beyond abstract theory to drive practical applications.

The new Deep Think is now available in the Gemini app for Google AI Ultra subscribers and, for the first time, we’re also making Deep Think available via the Gemini API to select researchers, engineers and enterprises. Express interest in early access here.

Effective connectivity between homologous cortices mediated by the corpus callosum: An axono-cortical evoked potentials study

[Functional brain mapping] Mitsuhashi et al.: “Callosal stimulation showed effective connectivity to homologous cortical regions. Sum of callosal-to-cortex propagation latencies matched interhemispheric latency.” Open access.

All content on this site: Copyright © 2026 Elsevier B.V., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

Microscopic robots that sense, think, act, and compute

Extremely cool paper describing optically programmable ~0.3 mm robots with onboard computation and autonomous locomotion! These tiny rectangular machines carry solar cells, optical receivers, electrokinetic actuators, and more. As demonstrations, the authors programmed them (i) to report local temperature by doing a coded dance and (ii) swim towards warmth before stopping and rotating upon reaching a location with a certain level of heat. This is amazing and I hope such devices are further improved so they can be used in biological applications! Love it!

(https://www.science.org/doi/10.1126/scirobotics.adu8009)

Autonomous submillimeter robots are built with onboard sensing, computation, memory, communication, and locomotion.

Dario Amodei — “We are near the end of the exponential”

Predicts significant advancements in AI capabilities within the next decade, which will have a profound impact on society, economy, and individuals, and emphasizes the need for careful governance, equitable distribution of benefits, and responsible development to mitigate risks and maximize benefits ## ## Questions to inspire discussion.

AI Scaling and Progress.

Q: What are the key factors driving AI progress according to the scaling hypothesis?

A: Compute, data quantity and quality, training duration, and objective functions that can scale massively drive AI progress, per Dario Amodei’s “Big Blob of Compute Hypothesis” from 2017.

Q: Why do AI models trained on broad data distributions perform better?

A: Models like GPT-2 generalize better when trained on wide variety of internet text rather than narrow datasets like fanfiction, leading to superior performance on diverse tasks.

Continue reading “Dario Amodei — “We are near the end of the exponential”” | >

Overtime with Bill Maher: Jonathan Haidt, Stephanie Ruhle, H.R. McMaster (HBO)

Artificial intelligence is rapidly advancing to the point where it may be able to write its own code, potentially leading to significant job displacement, societal problems, and concerns about unregulated use in areas like warfare.

## Questions to inspire discussion.

Career Adaptation.

🎯 Q: How should workers prepare for AI’s impact on employment? A: 20% of jobs including coders, medical, consulting, finance, and accounting roles will be affected in the next 5 years, requiring workers to actively learn and use large language models to enhance productivity or risk being left behind in the competitive landscape.

Economic Policy.

📊 Q: What systemic response is needed for AI-driven job displacement? A: Government planning is essential to manage massive economic transitions and job losses as AI’s exponential growth reaches a tipping point, extending beyond manufacturing into white-collar professions across multiple sectors.

Continue reading “Overtime with Bill Maher: Jonathan Haidt, Stephanie Ruhle, H.R. McMaster (HBO)” | >

Optimal Timing for Superintelligence: Mundane Considerations for Existing People

Nick Bostrom argues the case for doing the opposite of what Eliezer Yudkowsky recommends with regard to Artificial Intelligence. Yudkowsky says if anyone builds strong AI, everyone dies. To the contrary, Bostrom argues that if no one builds strong Artificial General Intelligence, everyone dies.

Why you hardly notice your blind spot: New tests pit three theories of consciousness

Although humans’ visual perception of the world appears complete, our eyes contain a visual blind spot where the optic nerve connects to the retina. Scientists are still uncertain whether the brain fully compensates for the blind spot or if it causes perceptual distortions in spatial experience. A new study protocol, published in PLOS One, seeks to compare different theoretical predictions on how we perceive space from three leading theories of consciousness using carefully controlled experiments.

The new protocol focuses on three contrasting theories of consciousness: Integrated Information Theory (IIT), Predictive Processing Active Inference (AI), and Predictive Processing Neurorepresentationalism (NREP). Each of the theories have different predictions about the effects that the blind spot’s structural features have on the conscious perception of space, compared to non-blind spot regions.

IIT argues that the quality of spatial consciousness is determined by the composition of a cause-effect structure, and that the perception of space involving the blind spot is altered. On the other hand, AI and NREP argue that perception relies on internal models that reduce prediction errors and that these models adapt to accommodate for the structural deviations resulting from the blind spot. Essentially, this means that perceptual distortions should either appear small or nonexistent in both theories. However, AI and NREP differ in some ways.

Shaping carbon fiber with electricity: Wireless voltage pulses drive reversible bending

Controlled manipulation of fibers that are as thin as or even thinner than human hair is a real challenge. Despite technological development, the precise and reversible change of the microfibers’ orientation is not easy. The interdisciplinary team of researchers from the Institute of Physical Chemistry, Polish Academy of Sciences, has recently developed a way to control the shape of microfibers with electricity. This brings us closer to a novel technical solution in micromechanics and soft robotics.

Their recent work, published in the Nature Communications journal, demonstrates the first proof-of-concept results on the motion of pristine carbon fibers caused by asymmetric electrochemical processes occurring in the material.

Turning IBM QRadar Alerts into Action with Criminal IP

Criminal IP now integrates with IBM QRadar SIEM and SOAR to bring external IP-based threat intelligence directly into detection and response workflows. See how risk scoring and automated enrichment help SOC teams prioritize high-risk IPs and accelerate investigations without leaving QRadar.

/* */