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TeamPCP hackers advertise Mistral AI code repos for sale

The TeamPCP hacker group is threatening to leak source code from the Mistral AI project unless a buyer is found for the data.

In a post on a hacker forum, the threat actor is asking $25,000 for a set of nearly 450 repositories.

Mistral AI is a French artificial intelligence company founded by former researchers from Google’s DeepMind and Meta, which provides open-weight large language models (LLMs), both open source and proprietary.

OpenAI confirms security breach in TanStack supply chain attack

OpenAI says two employees’ devices were breached in the recent TanStack supply chain attack that impacted hundreds of npm and PyPI packages, causing the company to rotate code-signing certificates for its applications as a precaution.

In a security advisory published today, the company said the incident did not impact customer data, production systems, intellectual property, or deployed software.

The company says the breach is linked to the recent “Mini Shai-Hulud” supply-chain campaign by the TeamPCP extortion gang, which targeted developers by slipping malicious updates into trusted and popular software packages.

Cost-Effectiveness of Thrombectomy With or Without Alteplase in Large Vessel Occlusion StrokeA Meta-Analysis Considering Time-to-Treatment

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A neuropeptide regulates cell non-autonomous protein homeostasis

FLP-17’s role in stress resistance aligns with its established functions. FLP-17 belongs to an evolutionarily conserved class, FMRF-amide/RF-amide neuropeptides, that plays important roles in energy balance and reproduction across phyla.34,35 In C. elegans, FLP-17 is secreted from a pair of sensory neurons (BAG) in response to low oxygen and high carbon dioxide, which can be caused by unfavorable food conditions or pathogens.36,37 FLP-17 then acts through specific neurons to inhibit egg laying and initiate an aversion behavior until the animal has reached more favorable conditions.30,36 Interestingly, unfavorable food conditions and pathogens also threaten organismal protein homeostasis.33,38 Therefore, we speculate that FLP-17 evolved to simultaneously protect the animal from proteotoxic stress while facilitating a behavioral program to help the animal navigate to more favorable conditions.

To coordinate adaptive behavioral and metabolic responses, FLP-17 primarily signals through the GPCR EGL-6 in specific neurons.30,31 Therefore, we tested whether EGL-6 also mediates FLP-17’s role in UPRER activation and found that FLP-17-induced activation of the UPRER and ER stress resistance is partially dependent on EGL-6. Egl-6 expression is predominantly neuronal, evidenced by transcriptional reporters and single-cell RNA-seq datasets.30,39 However, low levels of egl-6 expression were detected in intestine-specific translation of ribosome-affinity purification, which may better reflect protein levels.40 This suggests that FLP-17 may signal either through an intermediate cell type (such as a neuron) or directly to the intestine to activate UPRER.30,39 Furthermore, the partial dependence, combined with persistent stress gene activation in egl-6 (lof) backgrounds (Figure 5 E), indicates that additional unidentified receptors and mechanisms likely contribute to FLP-17 phenotypes.

Although FLP-17 was sufficient to activate the UPRER, it was not required for cell non-autonomous activation of the UPRER by glial:: xbp-1s, as flp-17 null mutants did not suppress glial:: xbp-1s phenotypes. This likely reflects neuropeptide network redundancy. Supporting this hypothesis, flp-17 (lof)) resulted in modest upregulation of stress response genes (Figure S3G) and a slight increase in hsp-4p::GFP in the glial:: xbp-1s animals (Figure 2D), suggesting compensatory activation of stress signaling pathways when FLP-17 is absent. This compensation could occur through multiple mechanisms. First, glial:: xbp-1s may induce multiple neuropeptides that provide functionally redundant UPRER activation. While no other candidate from our neuropeptidomics screen was individually sufficient to induce UPRER, we cannot exclude compensation by peptides not detected in our analysis, such as insulin-like peptides.

Deep Dive: The Agentic AI Economy

The Moat: The moat is no longer how smart your AI is; it’s what your AI is allowed to touch. An agent that has “Write Access” to a company’s internal financial system or a medical record database is 100x more valuable than a “smart” chatbot that can only read public websites. Connectivity is the new Intellectual Property.

In the agentic economy, the most valuable human skill isn’t “coding” or “writing”—it is Agentic Orchestration.

The agentic economy thrives on Data Flywheels. As an agent performs a task (e.g., “Review this legal contract”), it gets human feedback (“This clause was too aggressive”). That feedback isn’t just a correction; it’s training data that makes the agent more valuable for the next task. This creates a winner-take-all dynamic for whoever has the most active agents in a specific niche.

We are moving toward an outcome-based economy. However, the real “gold rush” isn’t in building the smartest AI; it’s in building the safest and most connected AI—the one that humans trust enough to give the “keys” to their bank accounts, their calendars, and their businesses.

Universal Bridge Theorem

We proved that our Universe was made from AI Algorithm.


What if spacetime itself is the result of a gigantic self-learning quantum neural network? 🤯🌌

A new framework called the Universal Bridge Theorem (UBT) proposes a deep equivalence between:

🧠 Neural network training.
and.
🌌 The evolution of spacetime geometry.

The proposal combines:

S02E05 Design Thinking: Enhancing Human Outcomes | Trey Simmons | Wired For Wonder

In this conversation, Lori Kirkland and Trey Simmons from Tamr, explore the transformative impact of AI on the workplace, emphasizing the importance of human-centric design and creativity. They discuss the acceleration of creative processes, the need for prioritization in business, and the shift in mindset required for organizations to thrive in an AI-driven world. The dialogue highlights the significance of collaboration, fluid thinking, and the evolving nature of business assumptions as key elements for future success. In this engaging conversation, Lori Kirkland and Trey Simmons explore essential human skills for the future, the mindset organizations need to adopt for the evolving workplace, and the profound nature of consciousness and reality. They discuss the impact of AI on our understanding of existence and the importance of fostering a culture of love and support in professional environments. The dialogue emphasizes the interconnectedness of humanity and the need for a shift in perspective to embrace change and innovation.

Connect with Trey via / treysimmons.

LETS CONNECT EVERYWHERE:
=============================

Instagram: / deephumanx.
LinkedIn: / deephumanx.
X (formerly Twitter): https://twitter.com/deephuman_x.
Facebook: / deephumanx.

DeepHumanX — Empowering Self Leadership in an AI Era.
https://www.deephumanx.com.

#wiredforwonder #selfleadership #futureofwork #businesspodcast #leadershipdevelopment #aiandhumans #emotionalintelligence #peoplefirst #businesssuccess #softskills #communicationmatters #employeeengagement #purposeatwork #leadershipskills #deephumanx.

Human vs. Machine Consciousness | Imperial’s Murray Shanahan

An interview with Murray Shanahan on philosophy and AI consciousness.

For more on how you can get involved with Cosmos including roles we are hiring for & how to receive our grants, visit: https://johnathanbi.com/cosmos.

You can read the full transcript here: https://www.johnathanbi.com/p/transcript-for-interview-with-…ahan-on-ai.

Companion Interviews:
Reid Hoffman on the Killer App of AI: • The AI Use-Case No One is Talking About |…
Tyler Cowen on AI, US-China, Jobs, and War: • AI’s New World Order: US-China, War, Job L…
Nick Bostrom on how to AGI-proof Your Life: • Focus on These AGI-Proof Areas | Nick Bostrom.
Michael Wooldridge on the Singularity and AI Hype: • Don’t Believe AI Hype, This is Where it’s…

Further Reading:
Professor Shanahan’s book on Consciousness: https://amzn.to/42rdsT0 (affiliate)

Timestamps:

Signal-folding design helps neuromorphic chip slash AI energy use

Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify meaningful patterns. However, when running on existing hardware, such as smartphones, laptops and tablets, these systems typically consume a large amount of energy.

Over the past decade or so, electronics engineers have been increasingly working on alternative hardware systems that could run AI models more energy efficiently. Many of these systems are neuromorphic, meaning that they are inspired by the structure and functioning of the human brain.

Researchers at Huazhong University of Science and Technology and the Chinese University of Hong Kong recently introduced a new approach for designing neuromorphic computing hardware based on two-dimensional materials. Their proposed strategy, introduced in a paper published in Nature Electronics, was used to develop a chip based on the 2D semiconductor molybdenum disulfide (MoS2) that can reliably run AI algorithms while consuming less power.

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