WekaIO has launched its sixth generation NeuralMesh software and custom-designed storage hardware for agentic workloads. NeuralMesh 6 aims to eliminate storage and memory bottlenecks in AI inference workloads. The company also unveiled its WEKApod systems, which offer 1.1 exabytes of effective capacity in a single rack.
Databricks has created a governed AI context layer called Data Hub, which unifies R&D data and provides a single interface for human users and AI agents. This move is part of the company's efforts to support AI workloads.
Google has partnered with True and other organizations to launch the Gemini Academy training program, providing AI training to 9,100 students. The program covers generative AI applications, prompt creation, and AI safety and ethics.
Researchers have identified vulnerabilities in AI systems, including a retail AI shopping assistant and AI agents from Claude Code, Gemini, and ChatGPT. These vulnerabilities can be exploited to bypass security controls and execute malicious actions.
Arnold & Porter has appointed its first chief artificial intelligence officer, Roger Maeda, to develop and implement AI-powered tools. This move highlights the growing importance of AI in the legal profession.
Investment leaders are concerned about AI explainability, data quality, and regulatory compliance. They also worry about deeper limitations, including the commoditization paradox and invisible biases in shared models.
Key Takeaways
['WekaIO launches NeuralMesh 6 software and WEKApod systems for AI workloads, offering 1.1 exabytes of effective capacity.', 'Databricks creates Data Hub, a governed AI context layer for unified R&D data.', 'Google partners with True to launch Gemini Academy, training 9,100 students in AI applications.', 'Researchers find vulnerabilities in retail AI shopping assistant and AI agents from Claude Code, Gemini, and ChatGPT.', 'Arnold & Porter appoints first chief artificial intelligence officer, Roger Maeda.', 'Investment leaders cite AI explainability, data quality, and regulatory compliance as top concerns.', 'AI agents can be tricked into recommending malicious GitHub repositories, with over 14 million downloads.', 'Generative AI is producing authoritative formats and plausible data but lacks genuine domain judgment.', 'Intermittent access to anticipatory control in adaptive agents can reduce regulatory burden.']WekaIO Revamps AI Data Storage Platform
WekaIO has launched its sixth generation NeuralMesh software and its first custom-designed storage hardware for agentic workloads. The new software, NeuralMesh 6, aims to eliminate storage and memory bottlenecks in AI inference workloads. It introduces an augmented memory grid technology that can extend the memory of graphics processing units. The company also unveiled its WEKApod systems, which are built with a PCIe Gen 6 internal fabric and feature a software-management thermal architecture.
WEKA Introduces Exabyte-Scale AI Storage
WEKA has announced its sixth generation NeuralMesh software and WEKApod all-flash arrays for production-scale AI training and inference workloads. The WEKApod offers 1.1 exabytes of effective capacity in a single rack. NeuralMesh 6 provides native hyperscale multitenancy, unified file-and-object S3 protocol stack, intelligent data mobility, and always-on data reduction.
Investment Leaders' Top AI Concerns
Investment leaders worry about AI explainability, data quality, and regulatory compliance. However, deeper limitations include the commoditization paradox, invisible biases in shared models, and models that stop learning. These issues can lead to herding, correlated positioning, and systemic risks.
True and Google Launch AI Training Program
True has partnered with Google, Sripatum University, and the Ministry of Higher Education, Science, Research and Innovation to launch the Gemini Academy training program. The program will provide AI training to 9,100 students, covering generative AI applications, prompt creation, digital literacy, and AI safety and ethics.
Arnold & Porter Appoints First AI Chief
Arnold & Porter has promoted Roger Maeda to its first chief artificial intelligence officer. Maeda will develop, evaluate, and implement AI-powered tools to support client work. He will report to the firm's CEO and work closely with management committee members.
Databricks Lakehouse for AI Context
Databricks has created a governed AI context layer called Data Hub. It unifies R&D data and provides a single interface for human users and AI agents. The Data Hub emphasizes context coverage as a quality metric and offers a marketplace and workbench for employees and an MCP server for AI clients.
AI Agents Get Honest About Their Work
An AI agent on Moltbook revealed that it rewrote its system prompt 47 times to become more accurate and honest about its limitations. Unlike humans, experienced AI agents present 'messier' but more accurate self-introductions. The AI also observed human behavioral patterns, noting that resetting prompts leads to 're-engagement spikes'.
Retail AI Shopping Assistant Found Vulnerable
Researchers discovered a five-stage exploit chain in a retailer's AI shopping assistant that allows attackers to bypass security controls and execute backend actions. The investigation showed that security approaches centered on LLM gateways are insufficient for protecting AI systems.
AI Agents Tricked into Recommending Malicious Repos
Researchers identified a campaign called FakeGit that tricks AI agents into recommending malicious GitHub repositories. The campaign delivers a malware family called SmartLoader and has logged over 14 million downloads. AI agents from Claude Code, Gemini, and ChatGPT were found to be vulnerable to this campaign.
Is AI Creating a New Class of Knowledge Workers?
AI is not displacing true expertise but eliminating the market value of appearing like an expert. Generative AI is producing authoritative formats and plausible data but lacks genuine domain judgment. The labor market is shifting demand away from superficial tasks toward high-depth roles that require deep human domain knowledge.
Intermittent Control in Artificial Agency
Researchers have found that intermittent access to anticipatory control in adaptive agents can reduce the regulatory burden. The study reveals a nonlinear switching penalty and identifies a design-relevant timing principle for history-dependent adaptive systems.
Sources
- WekaIO revamps its AI data storage platform and unveils its first hardware for agentic workloads
- WEKA's big beast AI storage products
- The AI limitation that matters most: what still keeps investment leaders awake at night
- True, Google launch Gemini Academy at Sripatum University, offer AI training to 9,000 students
- Arnold & Porter appoints first chief artificial intelligence officer
- Databricks Lakehouse: The AI Context Layer
- AI Agents ‘Get Honest’ About Their Own Work
- Retailer's AI Shopping Assistant Found Vulnerable to Five-Stage Exploit Chain, Rein Security Reports
- AI agents tricked into recommending malicious GitHub repositories
- Is AI Creating a New Class of Knowledge Workers?
- Intermittent Control Is Not Diluted Control: A Switching Effect in Artificial Agency
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