AI
OpenAI and Jony Ive in talks to raise $1bn from SoftBank for AI device venture
OpenAI, the artificial intelligence research laboratory, and Jony Ive, the former chief design officer at Apple, are reportedly in talks to raise $1 billion from SoftBank for a new AI device venture. The news, which was first reported by the Financial Times, comes as OpenAI and Ive have been working together on a number of projects, including a new AI-powered smart speaker. The new venture is said to be focused on developing new AI-powered devices that are both useful and beautiful. Ive is known for his minimalist and elegant designs, and it is expected that his work on the new devices will be a major draw for consumers.
OpenAI, on the other hand, is known for its cutting-edge AI research. The company has developed some of the most advanced AI systems in the world, including GPT-3, a language model that can generate human-quality text.The combination of OpenAI’s AI expertise and Ive’s design skills has the potential to create some truly groundbreaking new products.
What kind of AI device could OpenAI and Jony Ive build?
There are a number of different possibilities for what kind of AI device OpenAI and Jony Ive could build. One possibility is a new type of smart speaker. Smart speakers have become increasingly popular in recent years, but they still have a number of limitations. For example, they can be difficult to use and they often have limited functionality. An AI-powered smart speaker from OpenAI and Ive could address these limitations. It could be easier to use and have a wider range of functionality, thanks to OpenAI’s AI expertise. It could also be more stylish and elegant, thanks to Ive’s design skills.
Another possibility is that OpenAI and Ive could build a new type of augmented reality (AR) or virtual reality (VR) device. AR and VR devices are still in their early stages of development, but they have the potential to revolutionize the way we interact with the world around us.An AI-powered AR or VR device from OpenAI and Ive could be more powerful and immersive than existing devices. It could also be more user-friendly and affordable.
What does this mean for the future of AI?
The news that OpenAI and Jony Ive are in talks to raise $1 billion for a new AI device venture is a significant development. It shows that there is a lot of interest in AI-powered devices, and it suggests that we could see a number of new and innovative products in the coming years. The venture is also a sign of the growing importance of AI. AI is already being used in a wide range of industries, and it is only going to become more important in the future development of new AI-powered devices could help to make AI more accessible to people from all walks of life. It could also help to accelerate the adoption of AI in new industries.
Challenges facing the venture
There are a number of challenges that OpenAI and Ive will need to overcome in order to be successful with their new venture.One challenge is that the AI device market is still relatively new and unproven. There is no guarantee that consumers will be willing to adopt new AI-powered devices in large numbers.Another challenge is that there are a number of other companies that are developing AI-powered devices. This means that OpenAI and Ive will need to compete with established players like Google and Amazon.
Finally, OpenAI and Ive will need to raise a significant amount of money to develop and launch their new devices. This could be a challenge, given the current economic environment.
Opportunities for the venture
Despite the challenges, there are also a number of opportunities for OpenAI and Ive’s new ventureOne opportunity is the rapidly growing AI device market. As mentioned above, AI devices are still in their early stages of adoption, but the market is growing rapidly. This means that there is a lot of potential for new companies to enter the market and be successful.Another opportunity is the unique combination of skills and experience that OpenAI and Ive bring to the table. OpenAI is a leader in AI research, while Ive is one of the most respected designers in the world. This combination of skills gives them a unique advantage in developing new AI-powered devices.
Finally, the venture has the potential to accelerate the adoption of AI in new industries. As mentioned above, AI is already being used in a wide range of industries, but there is still a lot of room for growth. The development of new AI-powered devices could help to make AI more accessible to people from all walks of life and accelerate its adoption in new industries.
Overall, the news that OpenAI and Jony Ive are in talks to raise $1 billion for a new AI device venture is a significant development. It shows that there is a lot of interest in AI-powered devices, and it suggests that we could see a number of new and innovative products in the coming years.
Here are some additional thoughts on the venture:
- The venture could help to democratize AI. One of the biggest challenges facing AI today is that it is still relatively expensive and inaccessible to many people. The development of new AI-powered devices could help to make AI more affordable and accessible to people from all walks of life.
- The venture could help to accelerate the adoption of AI in new industries. AI is already being used in a wide range of industries, but there is still a lot of room for growth. The development of new AI-powered devices could help to make AI more accessible to people from all walks of life and accelerate its adoption in new industries.
- The venture could help to create new jobs. The development of new AI-powered devices will require new skills and expertise. This could lead to the creation of new jobs in the AI industry.
Of course, there are also some challenges that the venture will need to overcome. One challenge is that the AI device market is still relatively new and unproven. There is no guarantee that consumers will be willing to adopt new AI-powered devices in large numbers.
Another challenge is that there are a number of other companies that are developing AI-powered devices. This means that OpenAI and Ive’s venture will need to compete with established players like Google and Amazon.
Finally, OpenAI and Ive will need to raise a significant amount of money to develop and launch their new devices. This could be a challenge, given the current economic environment.
Despite the challenges, the potential rewards for OpenAI and Ive’s venture are significant. If they are successful, they could help to shape the future of AI and create new products and services that improve the lives of millions of people.
Here are some specific examples of new AI-powered devices that OpenAI and Ive could develop:
- A new type of smart speaker that is more intelligent and user-friendly than existing devices. This smart speaker could be able to understand and respond to natural language more effectively, and it could also provide more personalized recommendations and services.
- A new type of augmented reality (AR) or virtual reality (VR) device that is more powerful and immersive than existing devices. This AR or VR device could be used for gaming, education, and entertainment. It could also be used for new applications in business and industry.
- A new type of wearable device that is more intelligent and integrated with our everyday lives. This wearable device could be used to track our health and fitness, provide us with information and entertainment, and help us to stay connected with others.
These are just a few examples of the many different types of new AI-powered devices that OpenAI and Ive could develop. The possibilities are endless.It will be interesting to see what OpenAI and Ive come up with if their venture is successful. They have the potential to create truly innovative and groundbreaking products that change the way we live and work.
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Smash Bros Ultimate 13.0.5 Patch Notes: What Actually Changed
Nintendo released Super Smash Bros. Ultimate Version 13.0.5 on September 1, 2026 — the game’s first update since June 2025 — but the patch notes list exactly one change: a fix for behavior that occurs when invalid data is sent or received during online battles. There are no character balance changes, no new content, and no confirmation of the Nintendo Switch 2 performance update many players had speculated was coming.
Version 13.0.5 By the Numbers
| Detail | Value |
|---|---|
| Release date | September 1, 2026 |
| Previous update | Version 13.0.4, released June 10, 2025 |
| Time since last update | ~14.5 months |
| Number of listed patch notes | 1 |
| Character balance changes | None |
| New stages, modes, or content | None |
| Platforms affected | Nintendo Switch (and Switch 2 via backward compatibility) |
| Replay compatibility | Replays from Ver. 9.0.0–13.0.4 may have compatibility issues; Ver. 8.1.0 and earlier are not compatible |
| Recommended action for replay preservation | Convert to video via Vault → Replays → Replay Data → Convert to Video before updating |
| Original game release date | December 7, 2018 |
| Last major content update (final DLC fighter, Sora) | October 18, 2021 |
| Last “final fighter adjustments” patch | December 1, 2021 (Version 13.0.1) |
Sources: Nintendo official support page/update history, as reported by Nintendo Life, EventHubs, GameRant, Nintendo Everything, My Nintendo News, and SmashWiki — all Sept. 1–2, 2026.
Deep Dive: What a One-Line Patch Note Actually Tells Us
The Update Is Almost Certainly a Netcode Fix, Not a Gameplay Change
Nintendo’s sole documented change reads simply: “Fixed behavior that occurs when invalid data is sent or received in online battles.” The company offered no further explanation of what triggered the issue, how often it occurred, or what players might have observed as a result — typical of Nintendo’s characteristically terse documentation for backend and netcode-level fixes. Community analysis of the patch, however, has converged on a specific theory: several outlets and community trackers believe the change targets the so-called “Delay Mod” (also known as the input latency mod or lagless mod), a third-party modification that removed the intentional input latency — roughly four frames at minimum — that Nintendo built into Ultimate’s online netcode by design. If that theory holds, Version 13.0.5 is best understood as an anti-cheat or integrity fix aimed at closing a specific exploit vector, rather than a general bug fix affecting typical players’ experience.
Why This Distinction Matters for the Competitive Community
For competitive players tracking tier lists, matchup data, and character viability, this update carries essentially no strategic implications: no fighter received a buff or nerf, no new stage was added, and no existing mechanic was altered in a way that affects standard offline or online play for the overwhelming majority of users. The one meaningful exception is for anyone who was using the Delay Mod specifically to reduce their perceived input lag in online matches — if the community’s netcode-fix theory is accurate, those players may find the exploit no longer functions as it previously did, which could subtly affect matchmaking fairness in online play going forward, though this remains inference rather than a Nintendo-confirmed detail.
The Replay Compatibility Warning Is the Part Players Should Actually Act On
The most concrete, actionable detail in this update isn’t the bug fix itself — it’s the replay compatibility warning attached to it. Nintendo has flagged that replays saved under Version 9.0.0 through 13.0.4 may experience compatibility issues after updating, while replays from Version 8.1.0 and earlier are outright incompatible. Any player with saved replays they want to preserve should convert them to video files before applying the update, using the in-game path: Vault → Replays → Replay Data → Convert to Video. This is a one-way preservation step — once the update is applied and an affected replay becomes unplayable, there’s no indication Nintendo provides a way to recover it in its original replay format.
Reading the Timing Against a Broader Pattern of Switch 2 Updates
This patch did not land in isolation. It arrived during the same week Nintendo pushed significant Switch 2-specific enhancement updates to two other older titles: Pikmin 3 Deluxe (enhanced visuals and GameShare support, released August 31, 2026) and Mario Kart 8 Deluxe (8-player split-screen and CameraPlay, released the same day as this Smash update, September 1, 2026). That clustering fueled speculation among players that Ultimate might be next in line for a comparable Switch 2 performance or feature overhaul. That speculation, per available reporting, turned out to be premature: Version 13.0.5 is explicitly a maintenance-only release with no Switch 2-specific enhancements of any kind, despite technically applying to Switch 2 consoles through backward compatibility.
Why a “Final Fighter Adjustments” Game Still Gets Occasional Patches
It’s worth contextualizing this update against Ultimate’s official post-support status. Nintendo declared Version 13.0.1 (released December 1, 2021) the final set of balance-focused fighter adjustments for the game, explicitly stating the development team would not continue applying competitive balance tweaks going forward. However, Nintendo also committed at the time to continuing to release patches “as necessary” to address major bugs or technical issues — a promise this update, along with the intervening 13.0.2, 13.0.3, and 13.0.4 patches (which respectively enabled Sora amiibo compatibility, fixed a Global Smash Power tracking bug, and addressed a separate compatibility issue), appears to fulfill. Read in that light, Version 13.0.5 is entirely consistent with Nintendo’s stated long-term support posture for the game — a bug-and-stability-only patch cadence rather than an indication of renewed content development.
What This Means for Speculation About Ultimate’s Future
Some community commentary has read this update, combined with rumors of an upcoming Nintendo Direct, as a signal that Nintendo may have larger Smash Bros.-related news forthcoming. It’s worth treating that connection with appropriate skepticism: nothing in the actual patch notes references future content, a new title, or any roadmap beyond this specific bug fix, and Nintendo has a long history of shipping isolated maintenance patches for legacy titles without any accompanying announcement. The rumor and the patch are, based on available information, two separate data points that community speculation has connected without confirmed evidence linking them.
Actionable Takeaways for Players
- Convert any replays you want to keep before updating.
- This is the single concrete action item from this patch — use Vault → Replays → Replay Data → Convert to Video for anything saved under Version 13.0.4 or earlier that you don’t want to risk losing.
- Don’t expect any change to character viability or matchup strategy.
- Competitive players can safely continue using existing tier lists and matchup notes — this update contains no fighter balance changes of any kind.
- If you were using unofficial latency-reduction modifications, expect possible changes to how they function.
- Community analysis suggests this patch targets exactly this category of modification, though Nintendo has not confirmed the specific mechanism affected.
- Don’t expect Switch 2-specific performance improvements from this particular update.
- Unlike the concurrent Pikmin 3 Deluxe and Mario Kart 8 Deluxe updates, this patch contains no Switch 2 enhancement features — it applies identically across original Switch and Switch 2 hardware.
- Treat Nintendo Direct rumors and this patch as separate, unconfirmed threads.
- There is no documented connection between this bug-fix update and any speculated future Smash Bros. announcement — treat each as independent information until Nintendo confirms otherwise.
Frequently Asked Questions
What does Super Smash Bros. Ultimate Version 13.0.5 actually change?
The update contains exactly one documented change: a fix for behavior that occurs when invalid data is sent or received during online battles. It does not include any character balance adjustments, new stages, new modes, or additional content.
Will my old Super Smash Bros. Ultimate replays still work after updating to 13.0.5? Replays saved under Version 9.0.0 through 13.0.4 may experience compatibility issues, and replays from Version 8.1.0 or earlier are not compatible at all; Nintendo recommends converting any replays you want to preserve into video format before applying the update.
Is Super Smash Bros. Ultimate Version 13.0.5 a Nintendo Switch 2 performance update? No — despite speculation following concurrent Switch 2 enhancement updates for other Nintendo titles the same week, Version 13.0.5 is a maintenance-only patch with no Switch 2-specific features, and applies identically to both the original Switch and Switch 2 via backward compatibility.
Why hasn’t Super Smash Bros. Ultimate received a character balance update since 2021?
Nintendo officially designated Version 13.0.1, released December 1, 2021, as the final set of competitive fighter balance adjustments for the game, while committing to continue releasing patches as needed to fix major bugs — a policy this and the preceding several updates (13.0.2 through 13.0.5) are consistent with.
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Indian IT Stocks Slump Up to 7% After Accenture Cuts Revenue Outlook
Shares of major Indian information technology companies tumbled this week, with declines of as much as 7%, after US consulting and technology services giant Accenture trimmed its revenue outlook, reviving concerns about a broader slowdown in global IT spending. The selloff, reported by CNBC, hit a sector that has long been viewed as a bellwether for enterprise technology demand worldwide.
Accenture’s Warning Ripples Through the Sector
Accenture’s results and guidance are closely watched by investors in Indian IT services firms because of the deep linkages between the two markets — Indian firms count many of the same global enterprise clients as Accenture and often compete for similar outsourcing and digital transformation contracts. A cut to Accenture’s revenue outlook is typically read as a signal that corporate clients are pulling back on technology spending more broadly, and Indian markets reacted accordingly.
Renewed Growth Concerns
CNBC noted that the slump has fueled fresh concerns over sector growth, adding to a list of headwinds facing Indian technology exporters, including currency fluctuations, competition from AI-driven automation that could reduce demand for traditional outsourcing work, and softer discretionary IT budgets among Western corporate clients still adjusting to higher interest rates and geopolitical uncertainty.
Part of a Broader Global IT Spending Story
The Indian IT slump comes against the backdrop of an AI investment boom that is reshaping how enterprises allocate technology budgets. While spending on AI infrastructure and chips has surged — evident in the rally in semiconductor stocks that helped lift the Nasdaq nearly 2% this week, according to CNBC — that boom has not necessarily translated into stronger demand for the traditional IT services and outsourcing work that has historically been the bread and butter of large Indian technology firms.
Investors will be watching upcoming earnings from other major global IT services and consulting firms for confirmation of whether Accenture’s cautious guidance reflects a broader, sector-wide pullback or a company-specific issue.
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The End of the Demo Era: VivaTech Turns 10 and Demands Utility
Inside the sprawling halls of Paris’s Porte de Versailles, the atmosphere at the tenth anniversary of Europe’s premier technology gathering feels remarkably sober. The flashing holograms and robotic dogs of previous years have been quietly pushed to the periphery. Instead, the defining VivaTech AI trends centre on something far less cinematic: immediate, measurable commercial utility. Ten years since its inception, the conference has outgrown its adolescent fascination with what technology could do. Now, European founders and international investors are betting everything on artificial intelligence that actually works on the factory floor, in the back office, and across the supply chain.
This shift at VivaTech mirrors a broader correction across the global technology sector. The initial speculative frenzy surrounding generative models has collided with the harsh realities of corporate budgets and data privacy constraints. We have officially entered the deployment phase. Executives no longer want to pay for experimental software that hallucinates legal precedents or hallucinates customer service responses. They demand secure, ring-fenced tools that drive margin expansion.
The numbers reflect this systemic maturation. According to recent data synthesized by the Organisation for Economic Co-operation and Development (OECD), enterprise adoption of applied AI models is projected to drive a 1.4% annual increase in labour productivity across the Eurozone by 2027. Yet, the same dataset reveals a glaring friction point: only 18% of mid-sized firms have successfully integrated these models beyond pilot programs.
The gap between pilot and production is where the money is now being made. European venture capital has adjusted its focus accordingly. According to the Financial Times, funding for pure-play foundation model startups dropped by 22% in the first quarter of 2026, while capital allocated to vertical-specific AI applications surged. Investors are no longer funding the picks and shovels; they are funding the extraction.
Walking the convention floor this May, the changing guard is impossible to ignore. Startup booths are stripping the phrase Large Language Models (LLMs) from their primary marketing copy. The pitches have transformed. Founders are no longer selling the intelligence of their neural networks; they are selling automated invoice reconciliation, predictive supply chain routing, and immediate cost reduction.
Arthur Mensch, CEO of Paris-based Mistral AI, summarised this shift during a closed-door briefing on Tuesday. He noted that enterprise clients have abandoned open-ended experimentation in favour of strict, highly defined use cases. This pragmatism is fundamentally reshaping the European tech ecosystem. The continent, long criticised for failing to produce consumer internet giants, is leaning heavily into its traditional strengths: industrial engineering, regulatory compliance, and complex B2B software.
The capital backing these ventures is equally pragmatic. The French state investment bank, Bpifrance, announced a €500 million facility specifically earmarked for enterprise AI adoption within legacy manufacturing firms. This is not speculative capital. It is modernisation infrastructure. By targeting established industries, European policymakers are attempting to engineer an economic transition rather than merely chasing Silicon Valley’s consumer-focused tail.
That said, selling applied intelligence requires an entirely different sales motion. Startups must now prove integration capabilities with legacy SAP and Oracle databases. They have to navigate complex procurement cycles. The romantic era of the overnight AI unicorn is dead. We are now in the era of the gruelling enterprise sales cycle, where security audits matter more than parameter counts.
This transition toward utility is not happening in a vacuum. It is being heavily engineered by Brussels. The enforcement of the European AI Act has fundamentally altered the structural economics of software development on the continent. Critics initially warned that the legislation would stifle innovation, but the reality on the ground at VivaTech suggests a different outcome. Regulation has inadvertently created a massive market for compliance-grade, sovereign AI solutions.
What are the main AI trends at VivaTech?
At VivaTech, the primary AI trends centre on applied artificial intelligence, strict regulatory compliance under the EU AI Act, and enterprise-grade deployment. Companies are actively abandoning generative novelty in favour of measurable productivity gains, secure sovereign data solutions, and demonstrable return on investment.
This compliance-first approach offers a distinct competitive moat. American tech giants are currently battling copyright infringement lawsuits and regulatory scrutiny regarding their data scraping methodologies. European startups, conversely, are building models explicitly trained on licensed, opt-in data. They are offering guarantees that foreign competitors cannot match. When a German automotive manufacturer integrates a predictive maintenance model, they require absolute certainty that their proprietary telematics data will not be used to train a public model.
The picture is more complicated than a simple trans-Atlantic rivalry. It is a divergence in product philosophy. The US model prioritises general intelligence and rapid consumer adoption. The emerging European model, showcased vividly across the VivaTech pavilions, prioritises domain-specific accuracy, data sovereignty, and legal safety. In the enterprise sector, safety is rapidly becoming a premium feature rather than a bureaucratic burden.
The downstream consequences of this shift are profound for both policymakers and small-to-medium enterprises (SMEs). For the latter, the barriers to entry are finally lowering. For the last three years, AI deployment was effectively restricted to multinational corporations with vast engineering resources. The current generation of applied tools, heavily promoted at VivaTech, operates as plug-and-play software.
This democratization of capability will aggressively disrupt traditional B2B service sectors. Legal research, entry-level accounting, and supply chain logistics are facing immediate margin compression. According to a recent analysis by Bloomberg Intelligence, professional services firms that fail to adopt automated workflows will see their operating margins contract by up to 15% over the next 24 months. The cost of remaining analogue is becoming fatal.
Still, this transition requires massive infrastructure. The bottleneck has shifted from software capability to physical compute. Sovereign data solutions demand localized data centres. European nations are currently scrambling to build the requisite energy and cooling infrastructure to support this localized compute demand. The next major geopolitical battleground will not be the algorithms themselves, but the raw gigawatts required to run them domestically.
Governments are acutely aware of this vulnerability. French President Emmanuel Macron used his opening address at the conference to announce accelerated permitting processes for green-energy data centres. The goal is clear: to ensure that the intellectual property generated by European applied AI remains physically housed within the borders of the European Union.
Competing Perspectives: The Compute Deficit and Market Fragmentation
Not everyone in the halls of Porte de Versailles shares this optimistic vision of a European industrial renaissance. A vocal contingent of investors argues that the continent’s focus on applied AI is essentially a concession of defeat in the foundational model race. The bear case is structural and compelling.
Europe remains fragmented. A startup cannot scale across the continent without navigating 27 different legal jurisdictions and language barriers. More critically, the hardware deficit is severe. According to Reuters technology analysts, Europe currently accounts for less than 12% of the global advanced GPU supply. You cannot build a sovereign AI ecosystem if you rely entirely on Californian hardware manufactured in Taiwan.
Dissenting voices argue that by focusing purely on B2B applications, European firms risk becoming entirely dependent on the foundational API layers controlled by OpenAI, Google, and Anthropic. If the base cost of inference rises, the profit margins of these European applied AI companies will collapse. In this view, the regulatory moat created by the AI Act is a temporary illusion, easily breached once the foundational models reach a threshold of undeniable superiority.
Yet, the counter-argument remains potent. Foundational models are rapidly commoditising. Open-source alternatives are narrowing the performance gap weekly. If intelligence becomes a cheap, ubiquitous utility, the real economic value will accrue to the companies that own the proprietary workflow integrations and the industry-specific data.
Ten years on, VivaTech has shed its adolescent idealism. The focus on artificial intelligence that practically functions within the rigid constraints of modern business represents a necessary maturation. Europe is no longer attempting to clone Silicon Valley. It is building an ecosystem tailored to its own industrial and regulatory DNA.
The tension between foundational dependence and applied utility will define the next decade of enterprise technology. However, the mood in Paris suggests a quiet confidence that the pendulum is swinging back toward business fundamentals. The era of the speculative demo has officially concluded; the era of ruthless execution has begun.
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