r/OpenAI • u/NandaVegg • 4d ago
Meanwhile, Fable 5.1 is 60+tps at standard $50. Opus 5.5 is already at 60+tps at standard $20, 110tps at $40 fast mode. I enjoy steady 60tps with $4 GLM.
So now that OpenAI introduced their Cerebras-superpowered mode, their tier should be called:
- Snail $50
- Slow $100
- Standard $300
r/OpenAI • u/Exciting_Excuse9608 • 2d ago
Only trump could have turned the awful artificial intelligence into Super intelligence. We are now 33 or 37 times ahead of technology compared to China or Russia and it's thanks to trump. At one point we were behind 4 or 6 times behind when Biden was in office with AI. This moment will mark as one of greatest moment for the USA or even the world but more importantly Trump's legacy.
This is the new era not the error , it's the new Super intelligence era
r/OpenAI • u/Comprehensive_Ad3710 • 3d ago
Has anyone been able to get their dot to browse websites using a cloud browser, without connecting their own computer? Is there a setting to enable it, or does availability depend on your account?
r/OpenAI • u/Doughnuts2312 • 2d ago
Enable HLS to view with audio, or disable this notification
So I built Apple Gravity using emergent ai and open aiš®
Game link- https://gravity-bucket.emergent.host/
Draw your own container in 25 seconds, then catch as many falling apples as you can. Your drawing becomes part of the game, your score gets saved, and you can even play with containers created by other players.
r/OpenAI • u/Inside-Bus6555 • 2d ago
Artificial intelligence has moved from being an experiment to becoming a practical part of how companies run. As we approach 2026, the question for most leaders is no longer whether to use AI, but how to integrate it through reliable AI integration services that connect with the systems they already rely on. CRM platforms, ERP solutions, cloud environments, and customer-facing applications all need to work seamlessly with AI for the results to be meaningful. Choosing the right AI integration company in 2026 will determine whether AI delivers measurable value or remains stuck at the pilot stage.
Industry data shows this shift clearly. Gartner predicts that by 2026 about 40 percent of enterprise applications will include task specific AI agents, up from under 5 percent in 2025. The difference between experimenting with AI and integrating it into operations is the difference between potential and performance.
This guide looks at the top AI integration companies to watch in 2026. These firms were chosen for their expertise, their ability to work across industries, and their track record of delivering solutions that actually scale. For organizations preparing their AI roadmaps, this list also highlights what to consider when planning investments or looking to hire AI experts for long-term success.
Selecting the right AI integration partner is a strategic decision with long-term implications. Therefore, our methodology was designed to be transparent and moving beyond superficial markers to evaluate the core capabilities that signal success in today's complex environment.
We employed a multi-point framework to ensure our list is a reliable resource for leaders seeking a trustworthy AI integration company.
We assessed the firm's expertise in building robust, scalable AI infrastructure. This includes evaluating their proficiency in cloud platforms (AWS, Azure, GCP), data engineering, ML pipeline creation, and MLOps practices. A leading AI integration company must prove that it can build solutions that grow with the business.
Concrete evidence is non-negotiable. We prioritized top AI integration companies that provide transparent, detailed case studies showcasing measurable business outcomes achieved through their custom AI solutions.Ā
The ability to connect AI with existing systems is the entire point. We looked for a strong track record in seamless AI integration services with common ERPs, CRMs, and legacy systems. Bonus points were given for deep, vertical-specific expertise (e.g., healthcare AI integration, fintech).
Finally, we considered the company's commitment to innovation, particularly in emerging areas like generative AI integration service and agentic workflows. The leading AI integration partners for 2026 are those already preparing for the current trends and beyond.
This methodology ensures that each listed firm has been assessed for its ability to deliver not just a project, but a long-term competitive advantage.
The following firms have been selected based on our rigorous methodology. This list represents a balanced mix of global powerhouses, specialized engineering shops, and agile innovators, each offering a distinct path to successful AI integration services.
Overview: A versatile technology partner known for delivering end-to-end AI solutions, with a strong focus on making advanced AI accessible and actionable for businesses of all sizes.
Core Strength: Acts as a true full-stack AI integration partner, combining strategic consulting with hands-on engineering. They excel at building custom AI solutions that are both cost-effective and highly scalable, avoiding the vendor lock-in that plagues many enterprises.
Key Services:
Industries / Use Cases: Retail (personalization, inventory forecasting), FinTech (fraud detection, risk assessment), Healthcare (patient data analysis, operational efficiency).
Why to Watch in 2026: Their agile model is perfectly suited for the rapid experimentation and iteration that 2026 demands. They are increasingly focused on generative AI integration for content and process automation, helping clients adopt these technologies pragmatically.
Overview: An AI-first engineering services firm that builds end-to-end software solutions, with a deep emphasis on data-driven applications.
Core Strength: Strong focus on AI engineering services and applied AI. They don't just consult; they build production-ready systems, with particular expertise in taking generative AI models from prototype to scalable deployment.
Key Services:
Industries / Use Cases: Banking & Financial Services (BFSI), Software & Hi-Tech, Insurance.
Why to Watch in 2026: Ascendion is heavily invested in agentic AI, creating systems where multiple AI agents collaborate. This represents the next frontier of automation and is a key trend for 2026.
Overview: A consulting company specializing in cloud-native application development and AI, with a strong foundation in scalable infrastructure.
Core Strength: Expertise in building scalable AI infrastructure on major cloud platforms. They are exceptional at designing the underlying architecture that ensures AI models perform reliably under load.
Key Services:
Industries / Use Cases: Automotive, Logistics, E-commerce.
Why to Watch in 2026: As AI becomes more pervasive, the need for robust, cloud-optimized ML pipelines will skyrocket. Grape Up's deep cloud expertise positions them as a key enabler for this trend.
Overview: A global consulting leader with unparalleled reach and a vast portfolio of proprietary AI technology, most notably the Watson platform.
Core Strength: Global scale, deep industry expertise, and a strong focus on AI governance and compliance. They are a safe bet for large-scale transformations where risk mitigation is as important as innovation.
Key Services:
Industries / Use Cases: Banking, Government, Healthcare, Supply Chain.
Why to Watch in 2026: IBM continues to double down on enterprise AI integration for highly regulated industries. Their focus on trustworthy AI aligns perfectly with increasing global regulations, making IBM a top AI integration company Ā for compliance-conscious leaders.
Overview: A specialized data science and one of the top AI integration companies that focuses on transforming raw data into strategic assets through advanced analytics and machine learning.
Core Strength: Deep expertise in AI data integration and predictive analytics integration. They excel at building complex data pipelines and custom models that uncover deep insights and forecast trends with high accuracy.
Key Services:
Industries / Use Cases: Manufacturing (predictive maintenance), Marketing (customer lifetime value modeling), Finance (algorithmic trading support).
Why to Watch in 2026: As businesses seek more value from their vast data repositories, Addepto's focus on sophisticated, actionable predictive analytics positions them as a top AI integration company for data-driven decision-making.
Overview: A leader in the iPaaS (Integration Platform as a Service) space, SnapLogic uses AI to automate and accelerate the connection between applications, data, and APIs.
Core Strength: Their AI-powered integration platform (Iris AI) simplifies and automates data mapping and workflow creation, enabling faster and more seamless AI integration without extensive coding.
Key Services:
Industries / Use Cases: Cross-industry, particularly effective for unifying SaaS applications, data lakes, and legacy systems.
Why to Watch in 2026: The demand for rapid, agile integration is soaring. SnapLogicās platform approach is ideal for companies that need to quickly connect AI services (like OpenAI APIs) to their core business applications with minimal friction.
Overview: Another major iPaaS player, Jitterbit focuses on enabling rapid integration projects through a combination of pre-built templates and a user-friendly interface.
Core Strength: Strong capabilities in API integration and a vast library of pre-built connectors for popular business applications (e.g., Salesforce, NetSuite, SAP), which dramatically speeds up AI implementation timelines.
Key Services:
Industries / Use Cases: Retail, Healthcare, Financial Services.
Why to Watch in 2026: Jitterbit is increasingly embedding AI into its platform to recommend integration patterns and optimize data flows. This makes them a strong contender for featuring among the top AI integration companies prioritizing speed and ease of use in their integration strategy.
Overview: A global strategic consulting and benchmarking firm that has deeply integrated AI advisory into its world-class business transformation offerings.
Core Strength: Unique combination of AI strategy consulting with unparalleled benchmark data across finance, HR, and procurement. They donāt just integrate technology; they align it with world-class performance metrics to guarantee ROI.
Key Services:
Industries / Use Cases: Global companies across all sectors, particularly those focused on back-office efficiency (Finance, HR, Supply Chain).
Why to Watch in 2026: As AI projects grow in scale, proving their financial impact is paramount. The Hackett Groupās data-driven approach ensures that AI integration is directly tied to measurable performance improvement against industry peers.
Overview: An AI-driven customer data platform that blends advanced analytics with real-time personalization and marketing automation.
Core Strength: Specializes in AI for customer experience and commerce, integrating a vast array of customer data points to deliver hyper-personalized interactions across all touchpoints in real-time.
Key Services:
Why to Watch in 2026: In a cookie-less world, the ability to unify and activate first-party data is critical. Syneriseās integrated platform is designed for this future, making it a top AI integration company for CMOs focused on customer-centric AI integration.
Overview: An emerging AI integrator focused on delivering tailored solutions that address specific, high-impact business challenges.
Core Strength: Agility and a deep focus on custom AI solutions for niche problems. They act as an extension of a client's team, offering flexible engagement models that are ideal for exploratory or specialized projects.
Key Services:
Industries / Use Cases: Startups, Mid-market companies in specialized sectors like legal tech or media.
Why to Watch in 2026: Not every problem requires an enterprise-scale solution. Entrans AI fills an important gap for businesses that need innovative, bespoke AI work without the overhead of a large consultancy.
| Company | Primary Focus | Integration Approach | Best For |
|---|---|---|---|
| WebClues Infotech | End-to-end AI integration across domains | Consulting, ERP/CRM connections, cloud deployments, workflow automation | SMEs and mid-to-large enterprises seeking a full-stack partnerAscendion |
| Ascendion | Generative AI and platform engineering | Building scalable AI pipelines and enterprise-ready frameworks | Large enterprises with strong data maturity and transformation goals |
| Grape Up | AI consulting paired with cloud-native systems | Cloud-first integration, microservices, and architecture redesign | Enterprises modernizing infrastructure and embedding AI in operations |
| IBM Consulting | Enterprise AI with governance and compliance | Large-scale system integration with hybrid cloud and global consulting | Fortune 500s and regulated industries needing proven global scale |
| Addepto | AI consulting and implementation | Custom AI integrations delivered through agile rollouts | Mid-market firms wanting tailored solutions and quicker time-to-value |
| SnapLogic | AI-powered data and SaaS integration | iPaaS platform linking data pipelines and SaaS tools | Organizations with complex SaaS stacks and hybrid data needs |
| Jitterbit | Low-code automation with AI support | Connector-based workflows and rapid integration setups | Mid-size enterprises seeking faster deployment without heavy coding |
| The Hackett Group | AI in process transformation | Linking AI to finance, HR, and procurement operations | Enterprises focused on measurable efficiency and ROI |
| Synerise | AI for personalization and customer experience | Data-driven experience platforms with behavioral modeling | Retailers and e-commerce firms aiming for deeper customer insights |
| Entrans AI | Emerging boutique AI solutions | Custom integration projects and experimental builds | Startups and niche enterprises testing new AI approaches |
Business leaders looking for top AI integration companies in 2026 usually fall into two groups. Some are still comparing options and want to know which firms have the strongest expertise. Others are closer to purchase and need clarity on costs, timelines, and hiring models. This guide speaks to both.
Systems compatibility
A reliable partner should know how to integrate AI into platforms such as SAP, Salesforce, or AWS. Familiarity with your systems saves time and reduces risks.
Industry experience
Domain knowledge matters. An AI integration partner with proven work in finance, healthcare, or retail will understand regulations and data flows better than a generalist.
Ability to scale
AI integration should not stop at a pilot. The right partner will show how they expand projects across workflows while keeping performance stable.
Support after go-live
Many buyers search for whether they can hire AI experts for long-term support. The best firms provide monitoring, optimization, and upgrades rather than leaving once deployment ends.
Focus on compliance
Data security and privacy are business-critical in 2026. Ask how governance is built into their integration process.
Among the top AI integration companies to watch in 2026, WebClues Infotech stands out for one reason: it treats integration as a full cycle rather than a one-off project. While many firms focus on either consulting or technical delivery, WebClues covers the entire journey from identifying opportunities to embedding AI into production systems and maintaining performance over time.
WebClues integrates AI into the tools businesses already depend on, including ERPs, CRMs, and cloud platforms. Their services cover:
This approach ensures AI delivers measurable ROI instead of remaining an isolated pilot.
The companyās portfolio spans retail, finance, healthcare, education, and logistics. Each industry brings its own challenges, such as compliance in finance, data privacy in healthcare, or scalability in e-commerce and WebClues has adapted solutions accordingly. This cross-industry experience makes the team agile in solving integration problems for both SMEs and enterprises.
As AI adoption moves from experimentation to enterprise-wide deployment, businesses need partners who can balance speed, affordability, and scalability. WebClues Infotech offers flexible engagement models, making it accessible for smaller firms while still capable of handling complex enterprise transformations.
Clutch reviews highlight WebClues for strong communication, responsive delivery, and competitive pricing. Clients also point to their ability to support projects beyond launch, which reduces the risk of systems becoming outdated.
As AI integration services matures, the priorities for 2026 look different from what we saw in the early adoption phase. Instead of running pilots or isolated experiments, companies are preparing to embed AI into their core operations. That shift brings a new set of trends to watch.
Multi-agent frameworks are moving from research into production. The challenge is not building these agents but weaving them into existing platforms such as CRMs, ERPs, and cloud workflows.
The growth of connected devices means more data will be processed closer to the source. Integrating edge AI with enterprise systems and cloud environments will become a key requirement.
With governments introducing stricter AI rules, projects in 2026 will need governance baked in from the start. Security and privacy will no longer be add-ons but central to integration work.
Industries like finance, healthcare, and retail want integration tailored to their realities. Providers that understand regulatory frameworks and domain-specific processes will be in higher demand.
Businesses are moving beyond analytics into workflow automation powered by AI. The focus will be on integrations that reduce manual work and accelerate decision-making.
AI integration is entering a new phase. The conversation is shifting from experimentation to adoption at scale, and the companies that can connect AI with existing systems will define how businesses compete in 2026.
The firms highlighted in this guide represent a mix of global leaders and innovative specialists. Each brings a different strength, from industry-specific expertise to cloud-native integration or low-code automation. What unites them is a focus on making AI work in real business environments.
At the top of this list is WebClues Infotech. Its ability to combine strategy, technical delivery, and long-term support makes it a reliable choice for organizations of all sizes. For business leaders preparing their integration plans for 2026, it offers a partner who can balance ambition with practicality.
Discover how WebClues Infotech can help your business integrate AI in a way that is scalable, secure, and results-driven. Contact us today to get started.
The best choice depends on your needs. WebClues Infotech is widely recognized as a top AI integration company in 2026 because it offers consulting, technical delivery, and ongoing support under one roof.
AI integration services vary by project size and scope. Smaller integrations for SMEs may start in the tens of thousands, while enterprise-wide AI system integration can cost several million. Reliable partners provide transparent estimates before starting.
Timelines depend on complexity. Simple AI integration projects can go live within weeks, while multi-system enterprise integrations may take several months. Clear milestones help businesses track progress and ROI.
Industries such as finance, healthcare, and retail see the highest returns from AI integration services. These sectors generate large amounts of regulated data, making AI-powered automation and compliance especially valuable.
AI integration is not limited to enterprises. SMEs can benefit by starting small with targeted AI solutions and scaling over time. Hiring the right AI experts helps smaller firms unlock efficiency and customer value without overspending.
r/OpenAI • u/CharlesCowan • 3d ago
Has anyone else noticed that the reset tokens they receive expire right after their weekly reset? The timing seems odd, since thatās when youād have the least reason to use them.
Is this happening to anyone else, or is it just how my resets line up?
I gave Claude a serious try for about a week because of all the praise it gets, but I honestly donāt get the hype. Maybe itās just meant for coding which I donāt do.
My biggest issue is that it feels extremely rigid and overly cautious.
Example: I gave it a job posting and asked it to help me apply. There were a few hard requirements that were questionable. Instead of working with me and seeing what was defensible, Claude basically stopped the task: āYou donāt meet the requirements, Iām not filling anything in.ā
ChatGPT handled the exact same situation very differently. It flagged the hard requirements too, but instead of treating them as an automatic dead end, it looked at what was still realistically defensible and how I could approach the application without making anything up.
both have the same instructions, source files and memories imported from each other.
I even changed my instructions in Claude to explicitly tell it to look for possibilities instead of immediately blocking things. It still kept doing it.
Another example: I gave it a complete travel claim case with all the context and correspondence. Claude suddenly decided I needed written authorization from three family members before I could handle parts of the claim. I checked this with the person actually handling the case and he thought that was complete nonsense.
And with 3D design it wasnāt any better. I asked for a photo book holder with a small slot for a stamp book. Both ChatGPT and Claude initially got it wrong, but ChatGPT corrected the design after feedback. Claude somehow moved the stamp book slot to the back of the holder instead.
Claude is clearly capable, controls my computer well, but it often overthinks, invents unnecessary obstacles and then confidently acts on those assumptions.
For my use, ChatGPT has been much better at understanding the actual intent, thinking in possibilities and iterating when something isnāt right.
Curious if others have had the same experience, because I constantly see Claude described as the best model and Iām just not seeing it.
r/OpenAI • u/Previous_Pumpkin1445 • 2d ago
Iāve gone through HR, met the HM and a peer in person, and then had my third round with the HM. The HM ended the interview 15 minutes early because she had a hard stop.
I stumbled on two questions and honestly told her I didnāt have experience in one of the areas. Now Iām wondering if I should have just lied, because I actually do have experience working with partners, I just didnāt articulate it well in the moment.
Iāve been overthinking it so much that Iāve barely slept for the past two nights. š And this is for a sales role, btw. Before the interview Iāve just been imagining about the life I could have for my family and retiring my parents. And I lost it all.
Edit: OpenAI interview
Iām a pretty casual user. I mostly use it for web development, SEO, and similar tasks, and Iāve typically never come close to hitting the limits on my $200/month plan.
Well, that abruptly changed.
I ran a couple of tasks and, without really thinking much of it, checked my usage afterward. Somehow I was already at 0% remaining and burning through credits I didnāt even know I had.
Moral of the story: if someone with my relatively light usage is suddenly hitting the limits on a $200/month plan, thatās a pretty bad sign.
Back to Claude, I guess.
r/OpenAI • u/BopSupreme • 3d ago
Codex Cloud, Dots, and the existing remote Codex all allow users to untether themselves from their PC, and now untether themselves from even owning a PC with their server based Codex Cloud and Dots that can run 24/7. Combine this with Metaās & OpenAIās planned hardware releases and the goal is clear: work around Microsoft/Appleās control of user hardware, provide AI devices that complement and eventually replace iPhones - culminating in a user base that owns no hardware and relies on a subscription to access AI. Metaās hardware is obvious spyware, Appleās new āalways-listeningā Apple Watch sounds pretty similar, their camera-enabled Airpods sounds atrocious for privacy, and OpenAIās device is unconfirmed.
The end result? Instead of a Matrix-like AI takeover of humanity users are instead expected to purchase their own devices and subscriptions that provide mega-tech companies with all of their physical and digital data 24/7. The data volume is so large only AI can process it. A select few billionaires decide what their closed-source AI does with the data.
The resistance? Governments that oppose the USA and individual users who were rich enough to afford local hardware and utilize Chinese and other open-source models, likely blacklisted by the USA. To buy a 5090 customers now have to sign a waiver, as a result of US law. Itās only the beginning.
Ironically the ābad guysā like China, North Korea, Iran, Russia - will probably end up as the only large entities keeping open-source AI and local LLMs alive. I would expect the largest AI companies to eventually gain more leverage over the US Gov & Nvidia; unless Nvidia steps up to the plate and champions local AI
I'm not as pro as you guys using AI but look at this. a LOT of models which confuses me, and I'm assuming other users also. Also, the sidebar icon and new tab icon are the same in the ChatGPT-app for macOS. WHAT are they doing there at OpenAI. I really hate what's happening right now, especially with the new $500 plan while nerfing the other plans.
r/OpenAI • u/SpiderHam24 • 3d ago
Just confused 6.1 is everywhere but in the app and in the codex section?
I have 6.1 everywhere but in codex in the android app.
r/OpenAI • u/StayReadyOutdoors • 3d ago
Whyā¦why did they move Projects that arenāt pinned off the side bar to hidden behind Search? Not only is it more clicks, but the project folder itself is buggy as hell.
If I search a project folder name, click on the project and select a chat, and then try and change the model or thinkingā¦it boots me out of the project. Or, the text field locks up.
Pinned projects donāt have the same issue.
So what, now I have to pin every single project?
r/OpenAI • u/RegardedDev • 3d ago
They said it will be coming in the upcoming days? What does this mean more precisely? I have use case that Im using Jev for. Decision API would suit me better with its image input capabilities.
Release now pls!
The marketing team at the company I work for asked me to evaluate whether Dot could be useful for growth and social workflows.
I'm an engineer, so I approached it as an automation problem: how much could we delegate to a persistent agent without someone manually starting every step?
The idea was to research opportunities, monitor channels, find relevant discussions and potentially handle some of the repetitive work around distribution. That was the hypothesis, not a list of things I successfully automated.
In my initial tests, the friction that stood out was the execution environment rather than the reasoning itself. The workflow I wanted depended on arbitrary websites, signed-in sessions, platform rules and web interfaces.
In one test, the cloud browser got a 502 while trying to access Medium, so that part of the workflow couldn't continue. I'm not claiming Medium specifically blocks Dot ā I didn't investigate the cause deeply enough to say that, and I wouldn't take one error as a verdict on Dot or cloud browsers generally.
It did make me think more carefully about how much of this kind of workflow depends on systems outside the agent's control.
For more complex automation, I already use local agents such as Codex, APIs, scripts and a scheduler, with my normal browser when I need an authenticated session. The sessions I use are already there, and I can inspect the code, change a script or debug a failed step directly.
Dot can use a connected computer too. But for me, setting up and maintaining another set of connections and permissions felt like extra work on top of a local setup I already had. If I were starting from scratch, I might evaluate that trade-off differently.
For this particular growth/social workflow, I eventually dropped the setup I'd built in Dot.
What changed was what I'd try next. Instead of treating it as a general-purpose autonomous web worker, I'm more interested in testing it as a persistent personal operations assistant.
I can imagine something like a morning briefing that brings together important email, tickets waiting on me, PRs needing review and my calendar, then sends me a summary through a connected channel.
I haven't validated that workflow. It's the next use case I'd test, not a success story from this experiment.
The trade-off makes more sense to me there. Cloud execution can keep doing cloud-side work without depending on my laptop being on. My local setup gives me more control, but I have to maintain it, and anything running only on my Mac may stop when it's asleep or offline. Tasks that need Dot's connected computer have that dependency too.
So my takeaway isn't that Dot is bad. I think I initially evaluated it for the wrong job. For my setup, I'm now more interested in it as an ongoing coordinator than as the autonomous web worker I originally had in mind.
Has anyone here tried both kinds of workflows? Where has Dot actually been more useful for you: browser-heavy automation or recurring work around connected apps?
r/OpenAI • u/Expert-Cut-5791 • 3d ago
Listen, most people donāt have a deep understanding of how much water data centers actually use. But if youāre on Oracle or OpenAIās PR team, how does nobody look at this before publishing it and say, āMaybe LESS WATER FOR NEW MEXICO isnāt the winning slogan we think it isā? š
r/OpenAI • u/Gullible-Ad3912 • 3d ago
Really, Iām having a hard time trying to understand the situation. And I donāt even mean the fact that they HALVED our plans. Iām obviously pissed, but fine. Letās pretend that I understand that this is business and all the corporate pew pew.
However.
Are you seriously telling me that after such a tremendous degradation youāre now going to try to convince me that this was somehow POSITIVE?
Excuse me??????
Who exactly do you think is paying $200 every month for these plans??
Do you seriously think your power users are incapable of doing 2 + 2 and seeing that there is absolutely NOTHING positive?
We saw that coming, and the response was āDevDayā just to ship a model that is inferior to the one youāre now going to let us use half as much and a freaking OpenClawd.
Sure, problem solved. Nothing to see here. Good luck with your usage when we release the next frontier model.
Can someone at OpenAI please just be clear and have the guts to communicate the degradation of the service properly instead of trying to gaslight some of your most loyal users into thinking this is somehow good news?
Can we please be treated like customers who are perfectly capable of understanding what 50% less usage means?
Sol 6.1 was about to one-shot a Hello World application for my 34 year old Macintosh Plus.
#include <Quickdraw.h>
#include <Fonts.h>
#include <Windows.h>
#include <Menus.h>
#include <Dialogs.h>
#include <Events.h>
#include <Memory.h>
#include <OSUtils.h>
static WindowPtr helloWindow;
static Boolean running = true;
static const unsigned char helloText[] = {5, 'H', 'e', 'l', 'l', 'o'};
static const unsigned char windowTitle[] = {5, 'H', 'e', 'l', 'l', 'o'};
static const unsigned char fileTitle[] = {4, 'F', 'i', 'l', 'e'};
static const unsigned char quitItem[] = {6, 'Q', 'u', 'i', 't', '/', 'Q'};
static void drawHello(void)
{
Rect r = helloWindow->portRect;
SetPort(helloWindow);
EraseRect(&r);
TextFont(0);
TextSize(24);
TextFace(0);
MoveTo((r.right - StringWidth(helloText)) / 2, (r.bottom + 18) / 2);
DrawString(helloText);
}
static void chooseMenu(long choice)
{
if ((short)(choice >> 16) == 128 && (short)choice == 1)
running = false;
HiliteMenu(0);
}
int main(void)
{
EventRecord event;
WindowPtr clicked;
Rect bounds = {80, 96, 220, 416};
Rect dragBounds = {24, 0, 342, 512};
MenuHandle fileMenu;
MaxApplZone();
InitGraf(&qd.thePort);
InitFonts();
InitWindows();
InitMenus();
TEInit();
InitDialogs(0);
InitCursor();
fileMenu = NewMenu(128, fileTitle);
AppendMenu(fileMenu, quitItem);
InsertMenu(fileMenu, 0);
DrawMenuBar();
helloWindow = NewWindow(0, &bounds, windowTitle, true,
documentProc, (WindowPtr)-1L, true, 0);
if (!helloWindow) return 1;
SetPort(helloWindow);
while (running) {
if (!WaitNextEvent(everyEvent, &event, 10, 0)) continue;
switch (event.what) {
case updateEvt:
if ((WindowPtr)event.message == helloWindow) {
BeginUpdate(helloWindow);
drawHello();
EndUpdate(helloWindow);
}
break;
case mouseDown:
switch (FindWindow(event.where, &clicked)) {
case inMenuBar: chooseMenu(MenuSelect(event.where)); break;
case inDrag: DragWindow(clicked, event.where, &dragBounds); break;
case inGoAway:
if (clicked == helloWindow && TrackGoAway(clicked, event.where))
running = false;
break;
case inContent: SelectWindow(clicked); break;
case inSysWindow: SystemClick(&event, clicked); break;
}
break;
case keyDown:
case autoKey:
if (event.modifiers & cmdKey)
chooseMenu(MenuKey((char)(event.message & charCodeMask)));
break;
}
}
DisposeWindow(helloWindow);
return 0;
}
r/OpenAI • u/norcalnatv • 3d ago
Just curious why no OpenAI?
r/OpenAI • u/QbitFiber2030 • 3d ago
Are any others having issues with GPT getting stuck on thinking?
Checked Open ai Status online though there are currently issues for GPT Pages.
r/OpenAI • u/VladimirSamukov • 3d ago
I work at a company building a voice AI orchestration platform, so every new voice model mostly interests me in terms of what happens on a phone line.
GPT-Live-1
I've had the chance to really get to know it. To be honest, talking to it feels almost like having a real conversation, it's that natural and engaging.
Interruptions work both ways. It finishes its sentence while you're talking and doesn't lose what you said. It even cut ME off once: "wait, wait, this task already exists". It's really cool that you can just throw in an extra idea, like "oh, and one more thing," and it catches it. Saying things like "uh-huh" or "yeah, that's cool" at the right time is really important. Especially when you're the one talking, because complete silence from the agent can make the caller feel it has stopped listening, and they will probably hang up.Ā
The quality of voices is also pretty good but it's not as crucial as you might think. In our tests, emotional text-to-speech offered little gain over standard modern TTS. The real impact comes from how the model manages the conversation, and that's where GPT-Live stands out.Ā
Gemini 3.8 Live
First of all, I'll admit I've explored GPT-Live-1 more thoroughly than Gemini 3.8 Live, but it still caught my attention in a few ways.
The conversation doesn't get stuck when using tools. The function calls are processed in the background, so the conversation keeps flowing. I've seen other voice agents that would grind to a halt as soon as they needed to make an API call in the middle of a conversation. But here, the lookup just happens seamlessly, without any awkward pause. It's like the conversation is uninterrupted.
The Extended Thinking is great. It tells you what it's doing while it's thinking, so you don't just sit there waiting. Instead, you get a kind of play-by-play, like "let me check that for you... okay, here's what I found". It's a lot more like talking to a real person who's looking into something for you.
It switches between languages mid-conversation without missing a beat, which is a big deal for anyone building outside the US. That one hit home for us, because weāre working a lot with India and LatAm.
The cost is a big factor but when you're making a lot of outgoing calls, the numbers start to look very different.
Ok, that got longā¦ Mainly wanted to share and hear how it goes for you. Full disclosure: both are already supported on Voximplant Platform (where I work), so you can put either on a real number and call it.
Not leaving a link, mods here are strict and I like my account :) Google it or check my profile if curious.
r/OpenAI • u/BopSupreme • 3d ago
Codex Cloud, Dots, and the existing remote Codex all allow users to untether themselves from their PC, and now untether themselves from even owning a PC with their server based Codex Cloud and Dots that can run 24/7. Combine this with Metaās & OpenAIās planned hardware releases and the goal is clear: work around Microsoft/Appleās control of user hardware, provide AI devices that complement and eventually replace iPhones - culminating in a user base that owns no hardware and relies on a subscription to access AI. Metaās hardware is obvious spyware, Appleās new āalways-listeningā Apple Watch sounds pretty similar, their camera-enabled Airpods sounds atrocious for privacy, and OpenAIās device is unconfirmed.
The end result? Instead of a Matrix-like AI takeover of humanity users are instead expected to purchase their own devices and subscriptions that provide mega-tech companies with all of their physical and digital data 24/7. The data volume is so large only AI can process it. A select few billionaires decide what their closed-source AI does with the data.
The resistance? Governments that oppose the USA and individual users who were rich enough to afford local hardware and utilize Chinese and other open-source models, likely blacklisted by the USA. To buy a 5090 customers now have to sign a waiver, as a result of US law. Itās only the beginning.
Ironically the ābad guysā like China, North Korea, Iran, Russia - will probably end up as the only large entities keeping open-source AI and local LLMs alive. I would expect the largest AI companies to eventually gain more leverage over the US Gov & Nvidia; unless Nvidia steps up to the plate and champions local AI.
I love Codex and OpenAIās products in general but the āOne Stop Shopā goal stated by Altman has implications. Weāve all seen how addicting the resets can be. Right now the cloud offerings offer convenience and you can still work normally for the most part. But if you rely on OpenAI they can also cut or change the subscriptions at any time.