Visual Info Technology @VisualInforTech

At Kellogg, opening doors for others is part of the culture. That generosity is what drew Slgi Jolissaint ’26 MBA to the Executive MBA Program. Explore how Kellogg empowers students to contribute to the community in @PoetsAndQuants: kell.gg/07282f #KelloggLeader

True Opus 5.5 is next level

Chubby♨️ @kimmonismus

18 hours ago

The more I use, the more I fall in love with opus 5.5. its so good and so much faster and so much less verbose. It’s everything I could have asked for. It’s as if my beloved Opus 4.6 came back but better and rebranded as 5.5

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I really enjoyed this wide-ranging conversation with Danilo McGarry on the All About AI podcast. We went far beyond the latest AI tools and explored what happens when AI starts reshaping the very structure of businesses, jobs, industries and potentially the economy itself. We talked about why so many organizations are still stuck “sprinkling AI dust” over existing processes, why promising pilots so often fail to scale, and what genuine AI transformation actually requires. We also explored some much bigger questions: 🤖 How AI, robotics and autonomous agents could reshape organizations 📊 Why proprietary data is becoming such an important competitive advantage 💡 How businesses can identify the AI use cases that genuinely create value 👩‍💼 Why leadership, culture and skills can matter more than the technology 🚀 How AI could trigger an era of “hyper innovation” across science, medicine, robotics and quantum computing 💼 What increasingly capable AI could mean for jobs and the future economy 🧠 Why one of the biggest risks is outsourcing too much of our own thinking to AI One of the ideas I feel particularly strongly about is that AI should challenge and improve our thinking, rather than replace it. A conversation about where AI is taking business, society and all of us. Thanks, Danilo, for having me on. I really enjoyed our discussion. 🎧 Watch the full conversation here: youtube.com/watch?v=MWkAoQ…

To ensure secure IoT communications and transactions, it's essential to understand potential threats, strengthen device security, use encryption, manage identities and access, segment networks, establish security policies, and continuously mitigate risks. #IoT #Cybersecurity.

download and upload with link: Tristan nails the China USA divide on AI development worth a watch of the whole interview on DOAC

Yes GPT-6 Sol more about lower cost and to be fair it is much faster than Sol 5.6. It’s a solid, reliable model rather than a game changer.

Artificial Analysis @ArtificialAnlys

17 hours ago

GPT-6 Sol and Luna continue to push the cost efficiency frontier for OpenAI. The two new models halve the cost of their predecessors with similar scores in the Intelligence Index Charting the Artificial Analysis Intelligence Index shows the trade-off between Intelligence and

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What's a hot topic at #ROSCon? 🤖

La mia intervista di poco fa a “Cinque Minuti”, da Bruno Vespa.

For years home devices sent data out because putting real compute inside the product was expensive. Matic put the computer inside the robot. The 3D map of your home stays there and the raw footage is discarded as it goes. That may be the more interesting part of this launch.

Matic Robots @maticrobots

a month ago

Introducing Cues: Voice & Gesture control for Matic We raised $115M and spent 9 years to make the world’s first intuitive home robot Say you spilled coffee: Point to the spill and say, "Hey Matic, clean this" and it will hear, see, locate in 3D, and go clean on its own. Matic

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AI doesn't eliminate uncertainty—it changes how great leaders deal with it. Many expect AI to deliver certainty. In reality, it delivers better insights, while leadership still requires judgment. Follow @LindaGrass0 for more insights 💡

Moving AI from pilot to production shouldn't mean replacing your infrastructure. ​ The latest MLPerf Inference v6.1 results showed how continued software and system-level optimizations help Intel Xeon processors deliver 2.4x higher Llama 3.1 8B server throughput and 56% higher offline throughput compared with v6.0. ​ Learn how: intel.com/content/www/us…

Complex energy challenges need people who can connect engineering knowledge with business decisions. Bringing experienced leaders from different parts of the industry into the same conversation can help close that gap.

Antonio Grasso @antgrasso

a month ago

I believe the quality of an energy conference is reflected in the people willing to bring their decisions, experience and varied perspectives into the same room. ADIPEC 2026 is building exactly that kind of conversation. Join > adipec.com @ADIPECOfficial Partner.

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You have heard that AI consumes energy. Fine. But what exactly is using that energy while you type a prompt and wait for the answer? What you see on screen is only the result, so the energy behind it goes beyond the few seconds spent generating the answer. Microblog @antgrasso There is no single energy cost hiding inside an AI answer. Some electricity is already being used before your prompt arrives. The infrastructure may be powered and ready to serve requests. Then you press Enter. The model has to process your prompt before it can answer. Longer inputs, especially when they include a lot of context, can require more computation. Then comes generation. The model produces the response step by step, using computation as the output grows. Longer responses generally require more work. The model is not working alone. Memory and networking keep data moving through the system, while cooling uses electricity as the hardware runs. Which part uses the most energy? There is no fixed answer. It depends on the model and the workload. Model size, prompt and response length, modality, and infrastructure efficiency can all change the total. That is why saying “one AI prompt consumes X” can hide more than it explains. The energy is in the whole slice. Like a cheesecake, you enjoy the result without necessarily thinking about what went into every layer. #ArtificialIntelligence #EnergyEfficiency

Deel links adding >$140M in ARR over 90 days without increasing headcount to its internal use of Akai. What interests me is how Akai learns the path through a workflow, including edge cases, and turns it into something teams can reuse and adapt.

Alex Bouaziz @Bouazizalex

2 days ago

EXCITED TO LAUNCH: Akai (akai.run) Deel added >$140M ARR in 90 days without increasing headcount by automating~600 Full Time Employees' equivalent in work with Akai. Akai was an internal tool to automate our painfully repetitive operations in Finance, HR,

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Lo mejor de la semana, cuando todo el squad se reúne para jugar una partida en modo multiplayer. 🎮💙

Tokenmaxxing: The Dangerous New AI Trend Businesses Need To Stop #Tokenmaxxing is spreading through #businesses as #employees and #companies race to demonstrate how enthusiastically they are using #AI. But measuring AI success by #tokens consumed can drive up costs, encourage waste and distract leaders from the metric that really matters: the value AI creates. forbes.com/sites/bernardm…

Today, D-Wave announced the appointment of veteran financial technology executive Bernard Gavgani to its Board of Directors and Cybersecurity Committee. Gavgani currently serves as Senior Advisor for Technology and Innovation to BNP Paribas Group Executive Management and previously served as Group Chief Information Officer (CIO) of @BNPParibas. He joins D-Wave's Board in a personal capacity and brings deep experience in global technology strategy, operational transformation, artificial intelligence governance, cybersecurity, and workplace and network modernization. Read the press release here: dwavequantum.com/company/newsro…

From fusion energy to repurposed EV batteries, five companies are using NVIDIA AI, digital twins and accelerated simulation to help build a lower-carbon grid. Meet the clean energy innovators moving research into reality 🧵

Leading telcos are no longer selling bandwidth. They're becoming strategic partners that combine networks, cloud, edge computing, and data to help businesses innovate faster. Follow @LindaGrass0 for more insights 💡

53 AI-related securities class action lawsuits were filed in just the first half of 2025. 7 have already settled. Median settlement: $11.5 million. Stanford Law School Securities Class Action Clearinghouse. Corporate boards that approved AI initiatives without rigorous governance are now watching those decisions become courtroom exhibits. The pattern is familiar. It's the same playbook from the dot-com era and the crypto era with hype-driven disclosures to investors, followed by lawsuits when the reality didn't match the claims. The AI era is no different. The risk for executives right now is two-fold. First, companies over claim AI capabilities to investors. Second, companies underestimate the AI risks like bias, hallucination, privacy violations, and didn't disclose them adequately. $11.5 million median settlement isn't the problem. The reputational damage, the leadership distraction, and the chilling effect on legitimate AI investment are the bigger costs. Governance isn't a tax on innovation. It's what keeps the innovation defensible.