MAROKO133 Eksklusif ai: OpenAI launches company knowledge in ChatGPT, letting you access y

📌 MAROKO133 Update ai: OpenAI launches company knowledge in ChatGPT, letting you a

Is the Google Search for internal enterprise knowledge finally here…but from OpenAI? It certainly seems that way.

Today, OpenAI has launched company knowledge in ChatGPT, a major new capability for subscribers to ChatGPT's paid Business, Enterprise, and Edu plans that lets them call up their company's data directly from third-party workplace apps including Slack, SharePoint, Google Drive, Gmail, GitHub, HubSpot and combine it in ChatGPT outputs to them.

As OpenAI's CEO of Applications Fidji Simo put it in a post on the social network X: "it brings all the context from your apps (Slack, Google Drive, GitHub, etc) together in ChatGPT so you can get answers that are specific to your business."

Intriguingly, OpenAI's blog post on the feature states that is "powered by a version of GPT‑5 that’s trained to look across multiple sources to give more comprehensive and accurate answers," which sounds to me like a new fine-tuned version of the model family the company released back in August, though there are no additional details on how it was trained or its size, techniques, etc.

OpenAI tells VentureBeat it's a version of GPT-5 that specifically powers company knowledge in ChatGPT Business, Enterprise, and Edu.

Nonetheless, company knowledge in ChatGPT is rolling out globally and is designed to make ChatGPT a central point of access for verified organizational information, supported by secure integrations and enterprise-grade compliance controls, and give employees way faster access to their company's information while working.

Now, instead of toggling over to Slack to find the assignment you were given and instructions, or tabbing over to Google Drive and opening up specific files to find the names and numbers you need to call, ChatGPT can deliver all that type of information directly into your chat session — if your company enables the proper connections.

As OpenAI Chief Operating Officer Brad Lightcap wrote in a post on the social network X: "company knowledge has changed how i use chatgpt at work more than anything we have built so far – let us know what you think!"

It builds upon the third-party app connectors unveiled back in August 2025, though those were only for individual users on the ChatGPT Plus plans.

Connecting ChatGPT to Workplace Systems

Enterprise teams often face the challenge of fragmented data across various internal tools—email, chat, file storage, project management, and customer platforms.

Company knowledge bridges those silos by enabling ChatGPT to connect to approved systems like, and other supported apps through enterprise-managed connectors.

Each response generated with company knowledge includes citations and direct links to the original sources, allowing teams to verify where specific details originated. This transparency helps organizations maintain data trustworthiness while increasing productivity.

The sidebar shows a live view of the sources being examined and what it is getting from them. When it’s done, you’ll see exactly the sources used, along with the specific snippets it drew from. You can then click on any citation to open the original source for more details.

Built for Enterprise Control and Security

Company knowledge was designed from the ground up for enterprise governance and compliance. It respects existing permissions within connected apps — ChatGPT can only access what a user is already authorized to view— and never trains on company data by default.

Security features include industry-standard encryption, support for SSO and SCIM for account provisioning, and IP allowlisting to restrict access to approved corporate networks.

Enterprise administrators can also define role-based access control (RBAC) policies and manage permissions at a group or department level.

OpenAI’s Enterprise Compliance API provides a full audit trail, allowing administrators to review conversation logs for reporting and regulatory purposes.

This capability helps enterprises meet internal governance standards and industry-specific requirements such as SOC 2 and ISO 27001 compliance.

Admin Configuration and Connector Management

For enterprise deployment, administrators must enable company knowledge and its connectors within the ChatGPT workspace. Once connectors are active, users can authenticate their own accounts for each work app they need to access.

In Enterprise and Edu plans, connectors are off by default and require explicit admin approval before employees can use them. Admins can selectively enable connectors, manage access by role, and require SSO-based authentication for enhanced control.

Business plan users, by contrast, have connectors enabled automatically if available in their workspace. Admins can still oversee which connectors are approved, ensuring alignment with internal IT and data policies.

Company knowledge becomes available to any user with at least one active connector, and admins can configure group-level permissions for different teams — such as restricting GitHub access to engineering while enabling Google Drive or HubSpot for marketing and sales.

Organizations who turn on the feature can also elect to turn it off just as easily. Once you disconnect a connector, ChatGPT does not have access to that data.

How Company Knowledge Works in Practice

Activating company knowledge is straightforward. Users can start a new or existing conversation in ChatGPT and select “Company knowledge” under the message composer or from the tools menu. It must be turned on proactively for each new conversation or chat session, even from the same user.

After authenticating their connected apps, they can ask questions as usual—such as “Summarize this account’s latest feedback and risks” or “Compile a Q4 performance summary from project trackers.”

ChatGPT searches across the connected tools, retrieves relevant context, and produces an answer with full citations and source links.

The system can combine data across apps — for instance, blending Slack updates, Google Docs notes, and HubSpot CRM records — to create an integrated view of a project, client, or initiative.

When company knowledge is not selected, ChatGPT may still use connectors in a limited capacity as part of the default experience, but responses will not include detailed citations or multi-source synthesis.

Advanced Use Cases for Enterprise Teams

For development and operations leaders, company knowledge can act as a centralized intelligence layer that surfaces real-time updates and dependencies across complex workflows. ChatGPT can, for example, summarize open GitHub pull requests, highlight unresolved Linear tickets, and cross-reference Slack engineering discussions—all in a single output.

Technical teams can also use it for incident retrospectives or release planning by pulling relevant information from issue trackers, logs, and meeting notes. Procurement or finance leaders can use it to consolidate purchase requests or budget updates across shared drives and internal communications.

Because the model can reference structured and unstructured data simultaneously, it supports wide-ranging scenarios—from compliance documentation reviews to cross-departmental performance summaries.

Privacy, Data Residency, and Compliance<…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com

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📌 MAROKO133 Hot ai: China unveils jellyfish-like surveillance robot built for sile

In a recent breakthrough in biomimetic robotics, researchers in China have developed a jellyfish-inspired “underwater phantom” designed for stealth operations beneath the surface. 

Created by a team led by Tao Kai at the School of Mechanical and Electrical Engineering of Northwestern Polytechnical University in Xi’an, Shaanxi province, the transparent robot mimics the movements and appearance of a real jellyfish. Its soft, umbrella-shaped body and fluid propulsion system allow it to glide quietly through the water, making it nearly undetectable to sensors or the human eye. 

The device is intended for intelligent underwater detection, real-time environmental monitoring, and potentially covert reconnaissance missions worldwide.

New stealth for deep-sea surveillance

Engineered for stealth and precision, China’s new jellyfish-inspired robot combines low energy use, near-silent movement, and a lifelike design to excel in deep-sea monitoring and structural inspection. Project leader Tao Kai said the robot’s capabilities make it ideal for observing delicate marine ecosystems or conducting covert underwater missions. 

Built from a specially developed hydrogel electrode material, the transparent device features an umbrella-shaped body with flexible tentacles that replicate the motion of real jellyfish. Measuring just 4.7 inches in diameter and weighing two ounces, the compact robot offers a new model for sustainable and silent ocean exploration, the South China Morning Post writes.

Powered by an electrostatic hydraulic actuator, the jellyfish-inspired robot propels itself through the water by replicating the way real jellyfish contract and relax their muscles in rhythmic pulses. This actuator functions much like neural signals in living organisms, enabling smooth, organic movement without the noise or vibration typical of traditional propulsion systems. 

Consuming only 28.5 milliwatts of power, the robot generates virtually no physical or acoustic disturbance, allowing it to remain undetected even in sensitive marine environments.

AI-powered jellyfish robot can identify underwater targets autonomously

Fitted with a tiny camera and an onboard AI processing chip, the jellyfish-like robot can detect and identify underwater targets with high precision using machine learning. This combination of vision and intelligence enables it to navigate complex aquatic environments autonomously, capturing data and imagery in real time. 

The bionic jellyfish drew national attention in August when it appeared on a CCTV science program, showcased alongside other bioinspired creations such as a robotic bird, a mechanical locust, a gecko robot, and a robotic fish – showcasing China’s growing focus on merging biology with advanced robotics.

In the televised demonstration, Tao highlighted the robot’s capabilities, showing how it could hover steadily in moving water and identify objects such as the university’s emblem and clownfish. The presentation illustrated how a nature-inspired design, paired with intelligent control, allows the robot to sense its environment and recognize targets with reasonable accuracy, offering a glimpse into the potential of biomimetic robotics in underwater applications.

🔗 Sumber: interestingengineering.com

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