AT&T‘s refurbished 16GB iPhone 3G for $49.99 was a Black Friday special only, according to AT&T’s online sales support. On Cyber Monday, it’s the 8GB iPhone 3G that’s priced at $49-and available in black only.
The carrier is also offering refurbished 32GB iPhone 3GS models, in black or white, for $249.
While some potential customers can order the refurbished iPhones online, others will need to ring up the new-sales department at (888) 333-6651, due to what an AT&T customer service representative described as “increased fraudulent activity” in certain ZIP codes. (Sorry, Brooklyn, N.Y.)
According to the AT&T site, all of its refurbished phones and devices are pre-owned units that were returned within the 30-day trial period and have been refurbished and updated to new-from-the-factory standards. They come with a 90-day warranty and-as the devices’ original owners know well-a 30-day no-risk return policy.
The news comes on a day when rumors are surfacing about a new iPhone model. Whether this is the widely speculated-about iPhone tablet, or an updated iPhone model, is not known.
Mac Rumors has reported that iPhone developer Pandav has spotted, in its application analytics records, an unidentified iPhone model. Through a service from PinchMedia, Pandav is able to see the devices that are using its applications-in this case an application called iBart, for navigating San Francisco’s public transportation.
“[The] list of devices is reported to developers using internal device identification numbers assigned by Apple,” Mac Rumors reported Nov. 30. “In this case, ‘iPhone3.1’ was first spotted in Pandav’s usage logs in November. This ‘iPhone3.1’ identifier does not match up with any shipping iPhones. The last iPhone released to the public was the iPhone 3GS, which carries the identification string ‘iPhone2.1.'”
According to Mac Rumors, references to iPhone 3.1 go back to August, and Apple began testing its iPhone 3GS eight months before launch. For some, the Pandav news fuels the expectation that Apple will release a new iPhone model in 2010, when its exclusivity contract with AT&T expires.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Latest News - Resources Resource HubsFeatured ResourcesLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Artificial Intelligence -
Video -
Big Data & Analytics -
Cloud -
Networking - Cybersecurity Cybersecurity
- Applications Applications
- IT Management IT Management
- Storage Storage
- Mobile Mobile
- Small Business Small Business
- Development Development
- Database Database
- Servers Servers
- Android Android
- Apple Apple
- Innovation Innovation
- PC Hardware PC Hardware
- Reviews Reviews
- Search Engines Search Engines
- Virtualization Virtualization
-
- Blogs Blogs
- Events Events