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Model builders are moving beyond simple AI chatbots to creating comprehensive assistants that, in the words of AI dignitary Ethan Mollick, “do real work” in enterprise workflows.

Anthropic is continuing its push in this area with a new feature, Agent Skills, which allows Claude to improve its execution of specific tasks. When relevant, the model can automatically access folders containing specific instructions, scripts, and other resources, then act on them with human approval.

“Think of Skills as custom onboarding materials that let you package expertise, making Claude a specialist on what matters most to you,” Anthropic said in its announcement.

Use Anthropic’s, or build your own Skills

Anthropic has provided four pre-built agent Skills:

Microsoft Word: To create documents, edit content, or format text;

PDF: To build formatted PDF documents and reports;

Microsoft PowerPoint: To craft presentations, analyze content, and edit slides;

Microsoft Excel: To generate spreadsheets, analyze data, and generate reports with charts.

Users can also build their own skills for Claude and use them across Claude apps, Code, and API. Claude automatically invokes the relevant skills when performing a task, without manual human intervention; for auditability, it provides its chain of thought (CoT) reasoning.

When building new Skills, human users get guidance from an AI “skill-creator” . Claude will ask about the workflow, build out a folder structure, format files, and bundle resources. Then, when performing a task, it will scan available skills, identify relevant matches, and load the minimum information it needs to quickly and efficiently do the job.

Users can also customize skills for specific use cases, and create, view, and upgrade different versions through the Claude Console. Skills are portable and have the same format across workflows, meaning users only have to create them once.

To build custom Skills, users must provide a “human-friendly” name (for instance, “brand guidelines”); a clear description of what the Skill should do and when to use it (such as, “apply brand guidelines to presentations and documents, including official colors, fonts, and logo usage”), and specify when Claude should reference it (for example, whenever creating external materials such as Word documents, marketing materials, client reports, or presentations that represent the company).

Developers can point the agent to resource folders containing all relevant materials such as document templates, and indicate any required software packages (like Python or Pandas), if necessary.

Skills are available to Pro, Max, Team and Enterprise subscribers; users can enable them in their settings, although Team and Enterprise users require admin approval and enabling as well.

Integration with Microsoft 365

Beyond Skills, Claude also now integrates with Microsoft 365.

It connects to Microsoft 365 via the open-standard model context protocol (MCP) and integrates with:

Microsoft SharePoint and OneDrive: To search and analyze documents across sites and libraries.

Microsoft Outlook: To analyze emails and other communications and provide insights on the status of projects, feedback from clients, or team alignment.

Microsoft Teams: To search through conversations, discussions, and meeting summaries, and track project milestones.

Further, Claude now incorporates enterprise search across systems. For instance, when queried about a company’s policy on remote work, the model can pull information from HR documents in SharePoint and emails in Outlook.

“Enterprise search is particularly valuable for onboarding new team members, answering strategic questions like analyzing patterns in customer feedback, and quickly identifying the right internal experts to consult on any topic,” Anthropic said.

The Microsoft 365 integration and enterprise search are available to Claude Team and Enterprise plan customers.

A new arms race

“Claude’s new Skills move is a next step in what’s basically a new arms race,” said Wyatt Mayham of Northwest AI Consulting. It competes with a number of similar platforms from Google, Microsoft, ChatGPT, Perplexity and others.

He noted that model builders are all “chasing the autonomous worker,” but are approaching it from different angles.

For instance, Anthropic’s edge is trust. The company’s “Constitutional AI” design is built for predictability and safety, which is critical in finance or healthcare.

“Enterprises don’t want an AI that just can trigger a workflow,” said Mayham. “They want to trust it not to break one.”

Microsoft and Google, for their parts, are “ecosystem players,” embedding AI deeper into productivity suites by having Copilot and Gemini use internal data such as Microsoft Graph or Google Workspace to make AI feel native inside existing tools. Mayham pointed out that this makes adoption easy, but also locks enterprises into their platforms.

OpenAI, meanwhile, has a split focus: Custom GPTs are a “hit” for no-code builders, while the Assistants API serves developers. However, they’re not unified, and Anthropic seems to be sidestepping this hurdle by designing Claude for direct enterprise integration.

Different priorities

OpenAI is “closest in architectural ambition” to Anthropic, with its AgentKit providing a structured way to build modular, reusable agent workflows, noted Thomas Randall, a research director at Info-Tech Research Group.

However, adapting a tool like AgentKit to Skills requires more automation and lightweight authoring for broader enterprise workflows, he said. So, while Microsoft and Google may not provide comparable solutions to Skills in the short term, “this isn’t necessarily a put-down; these vendors just have different aims.”

“Microsoft and Google are choosing to prioritize platform lock-in and data integration as their competitive edge,” Randall explained. “Ultimately, Skills is a meaningful differentiator if Anthropic can make it work within the Microsoft/Google ecosystems.”

However, while all these capabilities are great, their strategic value lies less in the underlying technology and more in the ability to “institutionalize controlled, repeatable workflows,” he noted. “Enterprises will not gain value unless their internal workflows are already well-structured.”

For enterprises, the upside for all these enhancements is speed and safety, Mayham said. Agentic AI can automate cross-tool workflows such as onboarding processes, data pulls, or documentation prep. But, he said, the real differentiator will be governance: determining who has the authority to grant permission to connect systems, define what data that models can access, and decide how human review is built in.

“Companies should keep tight control over data privacy, access permissions, and audit trails, and assume a human-in-the-loop step for any AI that can change systems of record,” he advised.

Source:: Computer World

Microsoft this week released 175 updates affecting Windows and Office and .NET, including server-based updates for Microsoft SQL Server and Exchange server. There are also four zero-day fixes (CVE-2025-24052, CVE-2025-24990, CVE-2025-2884 and CVE-2025-59230), leading to a “Patch Now” recommendation for Windows. (All other updates can be added to your standard patch release schedule.) 

To help you navigate these changes, the Readiness team created this detailed infographic detailing the risks of deploying updates to each platform. (More information about recent Patch Tuesday releases is available here.)

Known issues

Microsoft documented a single, relatively minor issue with last month’s patches affecting Windows 11 desktops only: Applications that use Enhanced Video Renderer (ECR) with HDCP enforcement or Digital Rights Management (DRM) for digital audio might show copyright protection errors, frequent playback interruptions, unexpected stops, or black screens. Microsoft partially resolved this problem with its October update. We don’t expect an out-of-bounds fix for this playback issue; a full fix may have to wait until next month.

Major revisions and mitigations

Microsoft published several revisions to its Azure Entra ID and authentication offering and other Azure tools. However, there appears to be only one revision to a desktop (or server) patch since September:n CVE-2025-50173: Windows Installer Elevation of Privilege Vulnerability. Microsoft has updated the recommendations for this patch to include using the Multimedia Redirection Installer as well as updating all affected target systems.

This revision requires customer action and should be considered for most enterprise deployments.

Windows lifecycle and enforcement updates 

So this is awkward. General support for Windows 10 ended Oct. 14, with Microsoft advising: “At this point technical assistance, feature updates and security updates are no longer provided. If you have devices running Windows 10, we recommend upgrading them to Windows 11”

It is probably now the time to give Windows 11 a try. Soon(ish).

Each month, the Readiness crew analyzes the latest Patch Tuesday updates and provides detailed, actionable testing guidance based on a large app portfolio and an in-depth analysis of the patches and their potential impact on Windows platforms and application deployments. These areas are covered:

RDP connectivity and session reliability.

Printing and document workflow resilience.

Network throughput and proxy behavior validation.

UI and GPU rendering stability within Hyper-V environments.

Core OS and system validation

Readiness recommends that testing teams begin by validating the foundational elements of the Windows platform. Ensuring smooth startup, account management, and policy operations helps catch regressions early and prevents cascading test failures downstream:

Test basic boot, login, and Windows Defender Application Control (WDAC) policy enforcement.

Validate administrative tasks such as user creation, group management, and policy refresh.

Confirm stability during restart, shutdown, and update rollback scenarios.

Run targeted tests of BitLocker recovery and drive encryption workflows.

As part of this testing effort ,ensure that Windows desktop system-level policies, encryption, and authentication behave as expected before you layer on additional higher‑level functionality testing.

Remote Desktop and network connectivity

We recommend validating session reliability, reconnection performance, and the behavior of dependent services for hybrid and distributed environments:

Perform end-to-end RDP sessions between clients and servers. Copy files between sessions, redirect local printers and USB devices and disconnect and reconnect sessions to verify state persistence.

Confirm VPN connectivity using multiple tunneling and authentication methods.

Open browsers, connect repeatedly to multiple sites, and transfer large files to validate stability over TCP/IP.

Test SMB loopback connections using UNC paths and validate proxy configurations when switching between corporate and guest networks.

Validate client-side printing from Remote Desktop Services sessions.

Your testing should generate stable connectivity sessions under changing conditions, with stateful RDP and VPN sessions and predictable proxy behavior.

Printing and document workflows

Testing teams should prioritize both client and server‑side printing services, with an emphasis on high‑concurrency and recovery scenarios such as:

Perform multiple (large) print jobs through the Print Workflow Service.

Cancel jobs mid-process and observe recovery.

Restart the service during active printing to ensure there are no deadlocks or orphaned tasks.

Critical core printing functions were updated this month, so crashes and blue-screens could be “on the menu” with this update. (Let’s hope not.)

Networking and bluetooth interoperability

Network stacks and wireless connectivity remain central to mobility testing. Teams should prioritize interoperability, speed, and reconnection behaviors for both wired and wireless scenarios:

Conduct file‑transfer tests over IPv6 and measure throughput under variable latency.

Perform a Bluetooth file transfer.

Exercise packet send/receive flows using browsers, messaging apps, and file uploads.

Test Bluetooth pairing and switching between multiple devices.

Observe media playback and disconnect/reconnect transitions for smoothness and stability.

Verify Nearby Share for varied file sizes and formats.

You should be looking for stable file transfers (including Nearby Share and Bluetooth), consistent device switching, and reliable wireless throughput across mixed environments.

Storage and file system operations

Prioritize validating data integrity and access control through stress testing of file systems and storage pools:

Perform NTFS read/write tests including rename, delete, and copy.

Execute permission changes using GetSecurityInfo and SetSecurityInfo.

Test ReFS deduplication scheduling through PowerShell.

Simulate storage expansion with Storage Spaces Direct (S2D).

Look for consistent read/write access and reliable storage virtualization behavior during expansion and scheduled deduplication.

Graphics and UI rendering

We recommend validating visual consistency and GPU acceleration in both native and virtualized environments:

Verify apps using DirectComposition and the DWM API render correctly under theme changes.

Change themes and wallpapers while apps run to test live refresh.

Confirm GPU-accelerated Hyper-V VM sessions remain stable with display remoting enabled.

You want to ensure stable rendering and error‑free theme transitions across both physical and virtual environments.

Security and identity validation

Testing teams should verify identity handoffs, certificate management, and logging accuracy:

Test token-based sign-ins through Microsoft Entra ID and legacy NTLM fallbacks.

Verify certificate generation and key management via BCrypt and NCrypt.

Confirm proper logging and access-denied events in Windows Event Viewer.

Try testing out credential exchanges and cryptographic functions — and ensure that audit events operate consistently across updated builds.

Each month, we break down the update cycle into product families (as defined by Microsoft) with the following basic groupings: 

Browsers (Microsoft IE and Edge) 

Windows (both desktop and server) 

Microsoft Office

Microsoft Exchange and SQL Server 

Microsoft Developer Tools (Visual Studio and .NET)

Adobe (if you get this far) 

Browsers

There were no native updates for Microsoft’s browsers this month. The Chromium project has released 14 patches that have been integrated in the latest Edge release. Add these low-profile changes to your standard release calendar.

Windows

The following product areas have been updated with two critical patches, 101 labeled important, (yes, that’s a lot) and one rated as moderate. Given the reports of public disclosure and exploitation, we’ve highlighted the following vulnerabilities:

CVE-2025-24052 and CVE-2025-24990: To address this Elevation of Privilege vulnerability in Windows desktops, Microsoft is not offering an update, but instead a removal of the ltmdm64.sys driver. The Readiness team recommends an application portfolio assessment, scanning for file and API level dependencies for this driver. Looking for application packages that deal with Faxes would be a good start.

CVE-2025-2884: This update addresses a vulnerability in the CryptHmacSign function. There have been issues reported on this (and similar) out-of-bounds vulnerability(s) since June. However, Microsoft now says this vulnerability has been publicly disclosed.

CVE-2025-59230: Exploits for this vulnerability in Windows Remote Access Connection Manager (WRACM) have been published; unless addressed, it could lead to an elevation of privilege scenario on the target systems. 

Given these four reported zero-days for Windows, add this to your “Patch Now” schedule for October.

Microsoft Office

Microsoft released three updates (rated as critical) affecting Office as a platform and specifically Microsoft Excel with CVE-2025-59234, CVE-2025-59236 and CVE-2025-59227. All three updates address use-after-free memory issues; the remaining 15 patches are rated as important and address information disclosure related vulnerabilities. Add these Office updates to your standard release calendar.

Microsoft Exchange and SQL Server

Microsoft published a single update for SQL Server this October. This patch (CVE-2025-59250) has been rated important and attempts to resolve an issue with the JDBC integration with Microsoft SQL Server. A server reboot will be required. In addition, Microsoft released three updates to Microsoft Exchange Server (CVE-2025-53782, CVE-2025-59249 and CVE-2025-59248). Add these SQL Server and Exchange Server changes to your standard server update plan.

Developer tools

Six updates were published for Microsoft .NET and Visual Studio, all of them rated important. The update to Git (CVE-2025-54132) might appear odd as it relates to a bug in the Mermaid Diagram tool, but it was created on behalf of Git for publishing reasons. Add these updates to your standard patching schedule.

Adobe (and third-party updates)

Next month, we might see the retirement of this Adobe related section (promises, promises). That said, Microsoft has released seven updates from third-party vendors, including CERT/CC, Mitre and GitHub. It looks like Mitre and AMD are raising these CVE entries on behalf of open source organizations (such as libTiFF) to facilitate the rapid patches of these commonly used components. It’s a good idea. I hope that we see more of this kind of collaboration.

Source:: Computer World

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Anthropic is launching Claude Haiku 4.5, the newest version of the generative AI ​(genAI) ​company’s smallest language model. The company says it offers the same performance as Sonnet 4, but at a third of the cost and more than twice the speed.

Haiku 4.5 reportedly performs on par with Sonnet 4, OpenAI’s GPT-5, and Gemini 2.5 in several benchmark tests, including SWE-Bench, Terminal-Bench, and tasks related to tool, computing, and visual reasoning skills.

The model is available in all of Anthropic’s free plans. Due to its low resource consumption, multiple Haiku agents can be run in parallel or in combination with more advanced models.

The previous version of Haiku was released a year ago. Anthropic two weeks ago launched Sonnet 4.5 and, two months ago, Opus 4.1.

Source:: Computer World

Voice AI technology has been around for years. But clunky voices, awkward pauses, and problems with accuracy have been roadblocks to widespread adoption.

Many of those issues are now being resolved as more startups jump into the voice AI fray, Twilio and Zoom CEOs said recently at the Goldman Sachs Communacopia + Technology conference.

Twilio CEO Khozema Shipchandler said that internal research shows customers would prefer to interact with voice AI as opposed to humans — especially in healthcare. That’s because customers feel there’s an “asymmetry in knowledge between the two sides” when it comes to human agents, and weird interactions disappear with virtual voice agents, Shipchandler said.

“You don’t have these awkward pauses when you have these interactions take place between a human on one side and then a voice AI agent on the other side,” Shipchandler said.

Latency — or the reaction time by voice AI agents — has historically been an issue, but that is now close to being resolved, Shipchandler said.

Zoom has invested heavily in its voice AI agents, which are multilingual and have natural voices, said Zoom CEO Eric Yuan. The goal is to make sure those sometimes odd pauses go away.

But real-world experiments have had mixed results. According to reports, restaurant chains such as Taco Bell and McDonald’s have stopped voice AI efforts at drive-throughs as the AI couldn’t interpret vocal orders correctly.

The technology still has a long way to go, as it’s much harder to implement than text-based AI, said Jack Gold, principal analyst at J. Gold Associates. “Voice, even with a single language like English, has a huge amount of variability, with accents — think southern drawl vs. New England ‘ahs’ — and even the same language meaning different things to different people,” he said.

On the plus side, voice is a natural way to handle inquiries, as not everyone types well, Gold said.

In areas such as food delivery, 35% of orders still come in over the phone — and voice AI agents can help make those interactions faster and more efficient. “The voice AI’s capacity is unlimited,” Shipchandler said.

Thousands of venture-backed voice AI companies are now trying to solve these issues, he said. 

More people are now talking to ChatGPT instead of using text prompts, which shows the potential of voice AI, Yuan said. “I think pretty sure in the next two to three years, a lot of new solutions will be built upon voice technology,” he said.

There are still risks involved in voice spoofing that will need to be resolved. If systems could identify a voice signature up front and then do light verification on the back end, customers can get right into the conversation and drive the interaction and outcomes. “You’ve got to take out spoofing, because that is a real thing,” Shipchandler said.

Meanwhile, Zoom is working with chief information security officers and publishing papers on how to deploy its AI technologies.

nice AIThere will be continuous improvement in voice AI over the next couple of years to eliminate many of the errors being discovered in voice-based AI systems, Gold said.  “That will improve especially as the data input to the models gets better,” he said.

Source:: Computer World

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Microsoft, which is no stranger to antitrust accusations, is being sued for allegedly manipulating AI prices via its investment in OpenAI.

The lawsuit, filed Monday in the US District court in the Northern District of California, argues that Microsoft has used its OpenAI influence to vastly increase AI prices.

“ChatGPT prices were inflated since the service’s inception, with price levels reaching an eye-popping 100 to 200 times competitors’ prices on a per-token basis amidst a February 2025 price war,” the filing said. “A secretive agreement struck between OpenAI and Microsoft early in OpenAI’s development allowed Microsoft to control the supply of compute to its horizontal competitor’s products. It used an exclusivity clause to restrict OpenAI’s product output, and to impose a price–or, conversely, output and quality–floor on its competitor OpenAI’s ChatGPT products.”

Contacted by Computerworld, Microsoft declined to address the lawsuit’s specific details, but did say in an email, “while we are still reviewing the details of the complaint, we believe that our OpenAI partnership promotes competition, innovation, and responsible AI development.”

Industry observers were skeptical that the litigation would have much of an impact, given the large number of major companies selling AI, including Google, Amazon, and Anthropic, that are presumably beyond Microsoft’s direct influence.

Taps into policy concerns

Abhishek Singh, a partner at the Everest Group, said that the litigation might encourage regulatory efforts, but that he doubts it would have any direct impact on Microsoft.

“It taps into a genuine policy concern about the concentration of power in AI infrastructure and pricing, but antitrust cases like this are hard to win,” Singh said. “The plaintiffs will have to show not just dominance, but deliberate collusion and measurable consumer harm, which is a high bar.”

But Singh added that even if this specific lawsuit doesn’t go anywhere, it could easily prompt secondary reactions from legislators and regulators.

“In my personal view, the case is not frivolous, but it doesn’t have strong legs as an anti-competitive lawsuit. What it will likely do, however, is push the conversation toward transparency in AI pricing and infrastructure access,” Singh said. “Much of what enterprises perceive as price control in AI is, in reality, a reflection of scarce GPU supply and the costs of training and running ever-larger models, rather than market manipulation.”

If the lawsuit clears the initial legal hurdles and is allowed to proceed, Singh said, “the most plausible outcome is increased regulatory and market pressure for transparency rather than anything structural. Microsoft will argue that its partnership with OpenAI accelerated innovation and democratized access to generative AI—and that narrative is credible.”

Singh also observed that the essence of the monopolistic and anti-trust accusations have been argued before, and Microsoft has typically won those arguments. 

“[Because] the lawsuit primarily hinges on the claim that Microsoft effectively controls OpenAI and has used that position to distort AI pricing, it’s important to note that  regulators in the UK and EU have already examined Microsoft’s relationship with OpenAI and declined to classify it as a merger giving Microsoft control. Also, more recently, the partnership itself has evolved to allow OpenAI to source non-Microsoft compute, which weakens the argument that Microsoft has a lock on AI infrastructure,” Singh said. 

Customers should rethink AI contracts

The most critical aspect is whether this litigation will lead to any reimbursement for enterprises, which seems unlikely. But rebates aside, Singh suggests that this lawsuit does suggest some changes for enterprise IT to consider. 

“For enterprise IT executives, the key takeaway is to recognize that AI pricing and infrastructure access are becoming strategic variables. This lawsuit reinforces the need to seek transparency in AI cost structures, diversify vendor dependencies, and build flexibility into commercial arrangements,” Singh said. “The broader signal is about vigilance, understanding where market influence is concentrating, and ensuring enterprise strategies remain adaptable as the AI ecosystem matures.”

Cybersecurity consultant Brian Levine, a former federal prosecutor who today serves as the executive director of FormerGov, a directory of former government and military specialists, argues that Microsoft has had decades of experience fending off various antitrust accusations. For enterprise IT executives, though, the actions mean that they must work with their general counsel to make sure that any Microsoft contracts acknowledge antitrust possibilities, and that the agreements include wording that will protect the enterprise should court rulings prove unfavorable to Microsoft.

“If I was an enterprise CIO, the only immediate action is, if we are considering working with either of these entities, to write in a provision that gives [the enterprise] room to renegotiate to the extent that this case reaches a judgment or they reach a settlement that may impact the contract,” Levine said, adding, “but that language may be implied anyway.”

Douglas Brush, a special master with the US federal courts, said that enterprise IT must rethink all AI contracts in light of these kinds of antitrust accusations.

“The best approach is to use short contracts with re-openers, transparent pricing with safeguards, multiple cloud options, and an economics model that prioritizes consumption. This allows [enterprises] to benefit from falling prices, protect themselves when they rise, and keep the business running regardless of any single vendor’s motives,” Brush advised. “Budgeting needs to treat AI like a commodity input, not a fixed software license — [cost of goods sold] versus [operating expense]. … Quarterly repricing and automatic rebases to current schedules are table stakes.”

The lawsuit does acknowledge that OpenAI eventually slashed token prices “by as much as 80 percent,” but argued that merely proved its point. 

The ultimate price reduction “makes clear” that Microsoft’s actions were “the but-for and proximate cause of the price inflation/supply and output restriction,” the lawsuit said, adding, “but the restraint—and Microsoft’s control over it—still remains, lingering as a sword of Damocles over OpenAI wielded by one of its principal competitors.”

Source:: Computer World

The global smartphone market grew by 2.6% in the third quarter of the year, equivalent to 322.7 million units, according to preliminary data from IDC. The research firm traces the growth to upgrades to new premium phones and a growing interest in affordable AI-enabled models.

Apple and Samsung delivered the strongest results. Apple reported its best July quarter ever thanks in part to the new iPhone 17 series. Meanwhile, Samsung achieved record growth with its latest foldable models, the Galaxy Z Fold 7 and Z Flip 7.

Manufacturers like Xiaomi, Transsion, and Vivo also grew strongly. Xiaomi strengthened its position in Europe and Latin America with the successful Redmi Note and Poco series, while Transsion expanded rapidly in Africa thanks to low prices and efficient distribution. Vivo grew in several emerging markets with AI-enhanced cameras and aggressive online promotions.

“The increased demand for the latest AI-based products is expected to lead to a strong finish to 2025, driven by aggressive price promotions and robust product portfolios from leading vendors,” Anthony Scarsell, research director for Mobile Phones at IDC, said in a statement.

Source:: Computer World

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OpenAI is an artificial intelligence organization comprised of the non-profit OpenAI, Inc. and several for-profit subsidiaries. The company is perhaps best known for its ChatGPT chatbot, which launched in 2022, kicking off a period of massive disruption in the tech industry and beyond.

A complicated and increasingly contentious relationship with Microsoft, ongoing legal issues over copyright infringement, and frequent product announcements keep OpenAI in the news. Follow this page and never miss a beat.

Latest Open AI news and analysis:

OpenAI–Broadcom alliance signals a shift to open infrastructure for AI

October 14, 2025: OpenAI has partnered with Broadcom to co-develop and deploy its first in-house AI processors. The move could reshape data center networking dynamics and chip supply strategies as the ChatGPT maker races to secure more computing power for AI workloads.

OpenAI Codex rivals Claude Code

October 13, 2025: The OpenAI Codex gives software developers a first-rate coding agent in their terminal and their IDE, along with the capability to delegate background tasks to agents in the cloud.

OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flaws

September 18, 2025: OpenAI, the creator of ChatGPT, acknowledged in its own research that large language models will always produce hallucinations due to fundamental mathematical constraints that cannot be solved through better engineering.

OpenAI, Microsoft discuss shape of future relationship

September 12, 2025: Microsoft and OpenAI are in talks about the future of their partnership, they said in a joint statement , without providing details. Separately, OpenAI said it wants to go ahead with its previously announced plan to turn its for-profit business into a public benefit corporation, in which its nonprofit organization would own a $100 billion stake.

What Oracle’s $300B OpenAI deal means for enterprise cloud strategy

September 11, 2025: A single $300 billion contract has seemingly transformed Oracle from a traditional ERP and database vendor into a cloud computing powerhouse.The company has signed a five-year computing power commitment with OpenAI, contributing to a reported 359% surge in future contract revenue this quarter.

OpenAI acquires Statsig to speed up generative AI-based product launches

September 3, 2025: OpenAI is acquiring Statsig, a Washington-based product development platform startup, for $1.1 billion to speed up its generative AI-based product launches and accelerate iteration cycles of existing products such as Codex and ChatGPT.

OpenAI drops GPT-5: smarter, sharper, and built for the real world

August 7. 2025: More than two years after GPT-4’s release, OpenAI has unveiled GPT-5, boasting sharper reasoning, multimodal input, better math skills, and cleaner task execution, according to the company.

OpenAI challenges rivals with Apache-licensed GPT-OSS models

August 6, 2025: OpenAI has released its first open-weight language models since GPT-2, marking a significant strategic shift as the company seeks to expand enterprise adoption through more flexible deployment options and reduced operational costs. The two new models — gpt-oss-120b and gpt-oss-20b — deliver what OpenAI describes as competitive performance while running efficiently on consumer-grade hardware. 

Google snatches Windsurf execs in a $2.4B deal, derailing OpenAI’s biggest acquisition yet

July 14, 2025: Google has recruited CEO Varun Mohan and co-founder Douglas Chen of AI coding startup Windsurf in a $2.4 billion talent acquisition deal, just two months after Windsurf agreed to be acquired by OpenAI for $3 billion. Mohan, Chen and select research and development staff, will join Google’s DeepMind AI division

OpenAI and Perplexity enter browser wars to take on Chrome

July 10, 2025: Google Chrome’s dominance in the browser market is facing new threats as OpenAI and Nvidia-backed Perplexity unveil AI-powered browsers aimed at reshaping how users interact with the web. Comet is a new web browser with built-in AI search capabilities, the company said.

Microsoft brings OpenAI-powered Deep Research to Azure AI Foundry agents

July 8, 2025: Microsoft added OpenAI-developed Deep Research capability to its Azure AI Foundry Agent service. The move is designed to let developers use Deep Research API and SDK to embed, extend, and orchestrate Deep Research-as-a-service across data and existing systems.

Oracle to power OpenAI’s AGI ambitions with 4.5GW expansion

July 3, 2025: OpenAI has signed a significant compute leasing deal with Oracle, under which it will access 4.5 gigawatts (GW) of data center power, marking one of the largest single leasing arrangements in the industry.

OpenAI tests Google TPUs amid rising inference cost concerns

July 1, 2025: OpenAI has begun testing Google’s Tensor Processing Units (TPUs), a move that — though not signaling an imminent switch — has raised eyebrows among industry analysts concerned about the escalating costs of AI inference and its effects.    

Microsoft/OpenAI AGI argument unlikely to impact enterprise IT

June 26, 2025: The contract between the two AI giants has an exit clause once AGI is achieved. The problem: It is impossible to prove when that happens. Either way, IT execs at Macy’s, Bank of America, doubt it will matter.

OpenAI productivity suite could change the way users create documents

June 26, 2025: OpenAI’s planned productivity suite could dismantle traditional habits of how users create and consume documents in the same the way the company changed browsing and search habits.

o3-pro may be OpenAI’s most advanced commercial offering, but GPT-4o bests it

June 24, 2025: In a head-to-head comparison of the two models, researchers found that o3-pro is far less performant, reliable, and secure, and does an unnecessary amount of reasoning. Notably, o3-pro consumed 7.3x more output tokens, cost 14x more to run, and failed in 5.6x more test cases than GPT-4o.

Microsoft and OpenAI: Will they opt for the nuclear option?

June 24, 2025: The fight between Microsoft and OpenAI over what Microsoft should get for its $13 billion investment in the AI company has gone from nasty to downright toxic, with each of the companies considering strategies against the other that can only be described as their nuclear options. 

OpenAI walks away from Scale AI — triggering industry-wide rethink of data partnerships

June 19, 2025: OpenAI has ended its long-standing partnership with Scale AI, the company that powered some of the most complex data-labeling tasks behind frontier models such as GPT-4.

OpenAI’s o3 price plunge changes everything for vibe coders

June 18, 2025: o3 used to be too slow and too expensive for daily coding—no longer. The latency is now bearable, the price is sane, and the chain-of-thought pays off.

Sam Altman: Meta tried to lure OpenAI employees with billion-dollar salaries

June 18, 2025: After reports suggested Meta has tried to poach employees from OpenAI and Google Deepmind by offering huge compensation packages, OpenAI CEO Sam Altman weighed in, saying those reports are true.

OpenAI-Microsoft tensions escalate over control and contracts

June 17, 2025: The relationship between OpenAI and Microsoft is under growing strain amid extended talks over OpenAI’s restructuring, with OpenAI reportedly considering antitrust action over Microsoft’s influence in the partnership.

OpenAI’s MCP move tempts IT to trust genAI more than it should

June 16, 2025: OpenAI late last month announced changes to make it much easier to give its genAI models full access to any software using Model Context Protocol (MCP). Here’s why that’s a bad idea.

OpenAI launches o3-pro, slashes o3 price by 80% in bid to widen AI lead

June 11, 2025: OpenAI has unveiled its most advanced AI model to date, the o3-pro, which surpasses competitors on key benchmarks and replaces the o1-pro. The o3-pro is now available for ChatGPT Pro and Team users, as well as through the developer API, with access for enterprise and education sectors beginning next week.

What Microsoft hopes to get from its breakup with OpenAI

June 11, 2025: The once-tight bond between Microsoft and OpenAI has been fraying for well over a year — and it’s getting worse. What the two companies want from each other now is very different from when Microsoft made its original $13 billion investment.

Oracle to spend $40B on Nvidia chips for OpenAI data center in Texas

May 26, 2025: Oracle is reportedly spending about $40 billion on Nvidia’s high-performance computer chips to power OpenAI’s new data center in Texas, marking a pivotal shift in the AI infrastructure landscape that has significant implications for enterprise IT strategies.

OpenAI’s Skynet moment: Models defy human commands, actively resist orders to shut down

May 30, 2025: OpenAI’s most advanced AI models are showing a disturbing new behavior: they are refusing to obey direct human commands to shut down, actively sabotaging the very mechanisms designed to turn them off.

Jony Ive and OpenAI plan ‘bicycles’ for 21st-century minds

May 21, 2025: OpenAI has announced that it will purchase io, the AI startup founded by acclaimed former Apple designer Sir Jony Ive, who helped create the iMac, iPod, and iPhone. 

OpenAI launches Codex AI agent to tackle multi-step coding tasks

May 19, 2025: OpenAI’s most advanced AI coding agent, Codex, will bring parallel task automation to developers—but analysts caution that speed without scrutiny invites “silent failures.”

Cisco taps OpenAI’s Codex for AI-driven network coding

May 16, 2025: Cisco is working with OpenAI and its newly released Codex software engineering agent to give network engineers access to better tools for writing, testing and building code.

OpenAI’s IPO aspirations prompt rethink of Microsoft alliance

May 12, 2025: Microsoft and OpenAI are renegotiating their multibillion-dollar partnership deal to better align with each company’s evolving goals in the artificial intelligence race

OpenAI hires Instacart CEO Fidji Simo to oversee customer-facing apps

May 8, 2025: The hire indicates that OpenAI’s roadmap will involve more structured, productized offerings rather than just API access.

OpenAI offers help promoting AI outside the US, but analysts question why countries would accept

May 7, 2025: OpenAI, acting as part of the US government-led Stargate AI project, rolled out a program called OpenAI for Countries. The idea is for Stargate to help other countries create their own genAI environments, including data centers and genAI models.

OpenAI reaffirms nonprofit control, scales back governance changes

May 6, 2025: OpenAI has scrapped plans to reduce its nonprofit parent’s oversight and will keep its existing governance structure intact, a move that limits CEO Sam Altman’s influence and responds to mounting external pressure.

OpenAI to acquire AI coding tool Windsurf for $3B

May 6, 2025: The acquisition comes just months after Windsurf explored funding at this same valuation from investors, highlighting the premium being placed on specialized AI coding capabilities, according to reports.

Former OpenAI employees urge regulators to halt company’s for-profit shift

April 23, 2025: A broad coalition of AI experts, economists, legal scholars, and former OpenAI employees is urging state regulators to keep OpenAI’s nonprofit foundation in control of the company.

OpenAI’s new models can ‘think with pictures’

April 17, 2025: OpenAI has released o3 and 04-mini, two reasoning AI models designed to be extra good at programming, math, and science and that can use images to “think,” according to Engadget, This means that users can upload sketches or diagrams, for example, and even if they are of low quality, o3 and 04-mini will understand what is meant.

OpenAI GPT-4.1 models promise improved coding and instruction following

April 15, 2025: The GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano models, available only via the API, will provide better performance than GPT-4o and GPT-4o mini at a lower price, OpenAI said.

OpenAI slammed for putting speed over safety

April 11, 2025: According to a Financial Times report, the ChatGPT maker is now assigning staff and third-party groups only a few days to assess the risks and performance of its latest large language models (LLMs) as compared to several months they were given earlier.

OpenAI fears irreparable harm from Musk, files countersuit

April 10, 2025: OpenAI has filed a countersuit against Elon Musk, accusing the billionaire of a sustained campaign to damage the company and urging a US federal court to block further actions it described as unlawful and disruptive. The legal filing, submitted in a California district court, marks the latest escalation in a dispute between Musk and the AI startup he helped establish in 2015.

Senators probe Google-Anthropic, Microsoft-OpenAI deals over antitrust concerns

April 9, 2025: Democratic Senators Elizabeth Warren and Ron Wyden have launched a formal inquiry into partnerships between tech giants Google and Microsoft, and AI startups, demanding detailed information about arrangements they fear may be circumventing antitrust scrutiny while consolidating power in the rapidly evolving AI market.

Anthropic’s and OpenAI’s new AI education initiatives offer hope for enterprise knowledge retention

April 4, 2025: Two of the biggest names in artificial intelligence are independently developing new AI tools that encourage learning, at a time when the technology has been criticized for dumbing down smart users in the enterprise and discouraging critical thinking. While the new initiatives from OpenAI and Anthropic are aimed at transforming how AI is used in higher education, the opportunities they open up extend beyond universities.

Amazon, OpenAI, and China’s Zhipu unveil new AI tools amid intensifying competition

April 1, 2025: A wave of new AI products is hitting the market, signaling a shift toward more autonomous, task-completing systems that could reshape how businesses and consumers interact with digital services: Amazon has unveiled Nova Act, an AI agent designed to operate a web browser much like a human user; OpenAI said it will release an open-weight language model; and China’s Zhipu AI introduced a free AI assistant aimed at strengthening its position in the domestic market and competing with Western tech giants.

OpenAI, Google AI data centers are under stress after new genAI model launches

March 28, 2025: New generative AI models introduced by Google and OpenAI have put the companies’ data centers under stress — and both companies are trying to catch up to demand. OpenAI’s CEO Sam Altman tweeted that his company was temporarily restricting the use of GPUs after overwhelming demand for its image generation service on ChatGPT.

Microsoft abandons data center projects as OpenAI considers its own, hinting at a market shift

March 26, 2025: OpenAI has privately discussed building and operating its first data center to house storage, which is essential for developing sophisticated AI models. Microsoft, on the other hand, has pulled back on its buildouts, canceling data center projects in the US and Europe.

OpenAI calls for US to centralize AI regulation

March 13, 2025: OpenAI executives think the federal government should regulate artificial intelligence in the US, taking precedence over often more restrictive state regulations.

New tools from OpenAI help companies create their own AI agents

March 12, 2025: OpenAI launched Responses, a new api intended to eventually replace Assistants. The big draw? Responses provides a number of new tools that companies and organizations can use to create their own AI agents.

Microsoft is developing its own AI models to compete with OpenAI

March 10, 2025: Reports suggest Microsoft has decided to seriously challenge Deepseek and OpenAI by developing its own set of reasoning AI models called Microsoft AI (MAI). If successful, Microsoft would eventually not have to use its partner OpenAI’s o1 models in Copilot

Microsoft-OpenAI investigation closed by UK regulators

March 5, 2025: The UK’s Competition and Markets Authority (CMA) spent a great deal of time deciding whether it should investigate Microsoft’s investment in OpenAI as a potential merger situation, but in the end, decided to open and close the investigation within 24 hours.

OpenAI revamps AI roadmap, merging models for a leaner future

February 13, 2025: OpenAI will integrate “o3” into GPT-5 instead of releasing it separately, streamlining adoption while signaling a shift toward fewer, more controlled AI models amid rising competition and cost pressures.

Musk’s $97B offer to buy OpenAI rejected as leadership stands firm

February 11, 2025: In a message to staff, Altman said the board has no intention of considering Musk’s offer, stating that the proposal does not align with OpenAI’s mission

OpenAI launches deep research agent for multi-step research tasks

February 3, 2025: Hot on the heels of its launch of the o3-mini model, OpenAI announced another component for ChatGPT that allows the generative AI tool to do more in-depth research. “Deep research is built for people who do intensive knowledge work in areas like finance, science, policy, and engineering and need thorough, precise, and reliable research,” OpenAI said in a blog post announcing the new capability.

OpenAI unleashes o3-mini reasoning model

January 31, 2025: OpenAI released the latest model in its reasoning series, o3-mini, both in ChatGPT and its application programming interface (API). It had been in preview since December 2024.

Indian media houses rally against OpenAI over copyright dispute

January 27, 2025: The legal heat on OpenAI in India intensified as digital news outlets owned by billionaires Gautam Adani and Mukesh Ambani joined an ongoing lawsuit against the ChatGPT creator. They were joined by some of the largest news publishers in India including the Indian Express, and Hindustan Times, and members of the Digital News Publishers Association (DNPA), which includes major players like Zee News, India Today, and The Hindu.

Altman now says OpenAI has not yet developed AGI

January 20, 2025: Confusion over whether OpenAI’s o3-mini has reached the major milestone of artificial general intelligence (AGI) or not deepened following a post on X by CEO Sam Altman that completely contradicts what he said two weeks earlier in an interview with Bloomberg.

Microsoft sues overseas threat actor group over abuse of OpenAI service

January 13, 2025: Microsoft has filed suit against 10 unnamed people (“Does”), who are apparently operating overseas, for misuse of its Azure OpenAI platform, asking the Eastern District of Virginia federal court for damages and injunctive relief.

With o3 having reached AGI, OpenAI turns its sights toward superintelligence

January 6, 2025: OpenAI CEO Sam Altman has reinvigorated discussion of artificial general intelligence (AGI), boldly claiming that his company’s newest model has reached that milestone.

Now US government agencies can use OpenAI’s ChatGPT too

January 28, 2025: OpenAI has rolled out ChatGPT Gov, a version of its flagship frontier model specifically tailored to US government agencies. The platform has many of the same capabilities as OpenAI’s other enterprise products, including access to GPT-4o and the ability to build custom GPTs — and it also features a much higher level of security than ChatGPT Enterprise.

OpenAI debuts AI agent Operator to transform web task automation

January 24, 2025: OpenAI has unveiled “Operator,” a new AI agent designed to perform web-based tasks, offering potential productivity enhancements for enterprises. The tool enables interaction with on-screen elements, positioning it as a solution for automating routine processes in business workflows amid growing competition in the generative AI space.

OpenAI opposes data deletion demand in India citing US legal constraints

January 23, 2025: OpenAI has informed the Delhi High Court that any directive requiring it to delete training data used for ChatGPT would conflict with its legal obligations under US law. The statement came in response to a copyright lawsuit filed by the Reuters-backed Indian news agency ANI, marking a pivotal development in one of the first major AI-related legal battles in India.

OpenAI, SoftBank, Oracle lead $500B Project Stargate to ramp up AI infra in the US

January 22, 2025: Several large technology firms including OpenAI, SoftBank, Oracle, Nvidia, and MGX have partnered to set up a new company in the US to ramp up AI infrastructure in the country.

OpenAI is losing money on its pricey ChatGPT Pro subscription

January 7, 2025: OpenAI CEO Sam Altman, in a post on X, says the AI ​​company is currently losing money on its ChatGPT Pro subscription. “People are using it much more than we expected,” he wrote.

Fine-tuning Azure OpenAI models in Azure AI Foundry

January 2, 2025: Microsoft Azure’s new AI toolkit makes it easy to customize OpenAI large language models for your applications.

OpenAI still hasn’t released tools to deny data collection

January 2, 2025: OpenAI has failed to release the tool to opt-out or customize data collection the company promised to make available by 2025, according to Techcrunch.

Source:: Computer World

Generative AI (genAI) agents are changing language translation, with actions, emotions and diagrams now driving communication across languages.

Translation agents from a few companies go beyond text and use voice, image, and video to communicate across languages in real time and with high accuracy. “You need to be able to deal with multimodality. It’s not just plain text. There’s a lot more relevant data that you have to ingest,” said Mark Lawyer, president of linguistic AI at RWS.

Computer translation isn’t new. But with genAI agents talking and automating actions in productivity and customer service, the stakes are higher. There’s little room for mistakes, especially as agents replace humans to get work done.

Translation agents from RWS, DeepL and Grammarly analyze information sources, verify intent, establish context, and deliver translations that go beyond words. “The beauty of agents is that they are so pliable. They’re supposed to be modular,” Lawyer said.

The ability for AI to translate audio, video and text helps the genAI tools capture context and nuance — actions in a video, or specific tones in audio, for example — and pack that into translation.

“Languages are not about just a written representation of pure thoughts,” said Stefan Mesken, chief scientist at DeepL. “There is context, both cultural, also situational. To get this right, you have to be very close to your customers, which includes speaking their language.”

Translations are now trending toward a broader understanding of the intent of the actual user. Like expression, physical context plays a role in getting the nuances right.

“The other way around to address this is to create a multilingual agent… [that] can freely switch between any language that might be beneficial for this line of work, which much more closely resembles how humans interact,” Mesken said.

The UN estimates there are 8,324 languages worldwide. For high-resource languages like English, the translation tools are generally good, but translation quality sharply drops off in other languages.

“Another way to address this, of course, is to bring language AI into the agentic space, essentially as an accessibility layer, similar to how we do this with humans,” Mesken said.

Historically, companies hired multilingual support teams who spoke multiple languages, outsourced it, or built separate language-specific teams. Translation AI agents are changing that, said Ailian Gan, director of product management at Grammarly.

Multilingual communication improves the customer experience “while also making it easier and more cost-efficient for businesses to expand internationally,” Gan said.

DeepL recently released a “DeepL agent” — a general-purpose AI agent with built-in translation capabilities based on a translation API that supports 36 languages. The agent can establish multimodal context.

“For media, images and diagrams specifically, since so much of this world is encoded in feature and media rich documents, this is of course one of the areas where we focus as well,” Mesken said.

The company also has writing and real-time voice translations. It supports 36 languages and is focusing on quality, not quantity, as accuracy is important.

“For high-resource languages, you can get good enough to a certain extent and then it sharply drops off…, which essentially cuts out a large part of the population of this technology,” Mesken said.

RWS has developed Evolve, a multi-agent AI translation system that first translates text. A second agent checks the accuracy of the translation against hundreds of human opinions and data. RWS has been in the translation business for 30 years and has gathered a lot of data about multilingual communications.

“If the machine still can’t figure it out how to make that a good translation, that’s when it pops over onto a translator’s desk and they make the change,” Lawyer said.

Translator agents are one area where human creativity is critical for accuracy and compliance purposes.

DeepL works with language experts for accuracy and fluency. RWS employs thousands of linguists.

“I do not see machines taking over this industry during my career, honestly. There’s still some years left in it,” Lawyer said.

Grammarly, which has been reinventing itself as a platform for Agentic AI, has released a slew of multilingual features — including the ability to easily translate across 19 different languages in real time in any text box. “Our analytical linguist team conducts quality evaluations for each of the 19 languages that we support translations in, including looking at these kinds of nuances,” Gan said.

But there’s a lot of work to be done in the area, especially expanding beyond the internet’s dominant languages. AI models were trained more on data in English versus lower-resource languages.

Available training data becomes scarce after about 25 languages, and the quality of translation drops.

“The next billion internet users are going to be in the continent of Africa, they’re going to be in Southeast Asia, they’re going to be in India,” Lawyer said.

Source:: Computer World

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Source:: Fossbytes

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Source:: Fossbytes

Slack is turning its Slackbot helper into a more capable, personalized AI assistant that can perform actions such as drafting content and scheduling meetings.

Users have long been able to interact with Slackbot from channels and direct messages, where it can be asked to send reminders or notifications, or provide a preset response to keyword prompts such as what the Wi-Fi password is, among other tasks.

The revamped Slackbot, which is currently in pilot, will be accessible from a button at the top of the app. Once invoked, it will answer user queries based on information in conversations, files and other data stored in Slack, as well as Salesforce tools and connected third-party apps including Google Drive and Microsoft’s OneDrive, the company said.

As with other AI assistants on the market, the new Slackbot will perform a range of functions such as drafting content and summarizing reports. Slackbot will also be able to schedule a meeting by checking colleagues’ calendars for available times and will draft a meeting agenda and surface relevant documents ahead of the call.

The AI assistant runs on a combination of third-party large language models (Slack didn’t specify which) hosted by Amazon Web Services in a virtual private cloud.

The new Slackbot will initially only have access to data within a Slack workspace, but there are plans to connect to web data at a later date, a Slack spokesperson said. Other capabilities on the product roadmap include the ability to interact with and orchestrate other AI agents in Slack, as well as build AI agents for users without any coding. Slack recently announced developer tools to make it easier to connect with third-party AI assistants.

Among the other announcements at parent company Salesforce’s Dreamforce event this week is the general availability of channel agent. Accessible in a Slack channel, the agent is described as an “always on teammate” that can answer questions related to shared projects. This is included at no extra cost in Slack Business+ plans and above.

Updated enterprise search functionality will enable users to search for information across connected third-party apps such as Gmail, Dropbox, and Notion. This is available now on the Enterprise+ plan.

The updates are part of a wider drive to reshape the collaboration app as the interface for getting work done in Salesforce’s suite of business apps.

With this in mind, there are new integrations with four of Salesforce’s Agentforce agents. In Agentforce IT Service, for example, employees can get help with requests such as password resets from within Slack. The agent will also create an “incident channel” for more complex problems, automatically adding the relevant people and information. It’s available now on all Slack plans with a Salesforce Agentforce license, alongside Agentforce Sales, Agentforce HR Service, and Agentforce Tableau.

Source:: Computer World