Transformational CEO driving innovation with AI. High-energy visionary creating future-proof solutions that balance tech and humanity. Always pushing boundaries

Kansas City Metro
Joined June 2024
A coding model small enough to run locally is worth watching. If it holds up, it gives teams like mine a cheaper, more private option alongside the cloud tools we already use.
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
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Marcus Aurelius pointed out that being good at beating an opponent doesn't make you more modest or more patient with others. Getting better at the work matters. Becoming a better person to work with matters more. #SpreadingPositivity #AlohaSpirit #Stoic #Character
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Marcus Aurelius noticed how often we chase praise from future generations while overlooking the people we share our lives with today. The team in front of you deserves your thanks now. Legacy takes care of itself. #SpreadingPositivity #AlohaSpirit #Stoic #Legacy
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If your website, online ordering, or loyalty vendors run on PHP, ask them whether they've patched yet. AI is now finding bugs faster than most of us patch them, so vendor patch speed belongs in every tech review.
OpenAI models helped researchers—operating as part of our Patch the Planet initiative—discover critical security flaws in PHP, an open-source programming language used to run an estimated 70% of websites. Over the past two months, we led a coalition of maintainers, researchers, and security providers to prepare fixes and protections ahead of disclosure. This duration was necessary because the fix was quite intricate and required a major change to the PHP engine. Every site using PHP can now safely upgrade their version to stay secure, in addition to applying mitigations from various security vendors. Due to the severity of these flaws and PHP’s widespread use, we consider this bug to be one of the most impactful vulnerabilities in recent memory. It also marks a new phase, where AI can find security bugs with internet-scale impact. This is an example of the Defender’s Window in action: to our knowledge, frontier AI was able to find this vulnerability ahead of attackers, giving defenders time to prepare. openai.com/index/coordinated…
Readers added context they thought people might want to know
‪OpenAI may claim a role in the coordinated response and patching process. But the initial discovery and exploit development, however, occurred several months earlier by an independent researcher.‬ ‪x.com/lcfr_hax/statu…‬
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Walmart is giving AI agents their own profiles with spending limits instead of letting them pose as the customer. Restaurants should expect the same shift: agents ordering through a front door we build, not scraping our menu.
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Built for small business owners, and it asks before it sends, pays, or signs anything. That approval step is what makes a proactive agent usable for running real operations.
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
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An agent that runs entirely on a Mac and only touches the cloud when you approve it is the right default for sensitive work. P&Ls and contracts are exactly where I want that control.
Perplexity Computer can now run fully local on your Mac. Work with your native Mac apps and local files, and run tasks without sending sensitive data to the cloud. The model and the agent both run on your Mac. Available now in the Perplexity Mac app.
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Shared tasks that run on a schedule and don't depend on one person remembering them are where AI earns its keep. A weekly ops recap across our restaurants is the first one I'd hand off.
You can now automate recurring engineering work with team tasks in ChatGPT, like pulling together what shipped and what’s blocked every Friday. Your teammates can review the results and change what the next update covers, so you don’t have to maintain it on your own.
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A shared playbook for containing and monitoring AI agents is the unglamorous work that makes them safe to deploy. Before an agent touches our POS or payroll, I want to know exactly what it can reach and who's watching it.
AI agents need fast tool calls and security controls they can’t rewrite. NVIDIA OpenShell Reference Architecture combines the compute to run agents at scale with runtime controls that govern their access to tools and data. See how the hardware and software work together: nvda.ws/4BiJBfY
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Voice agents that can hold a natural conversation and look things up mid-call are getting close to ready for phone orders. I want to see one handle a lunch rush before I trust it with ours.
Introducing Eleven Realtime, a new class of Speech to Speech models. Voice agents usually make you choose between quick replies or precise answers. Eleven Realtime gives you both. It starts talking in half a second and gets spoken reasoning questions right.
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OpenAI on Google Cloud means one more place to swap models without signing new contracts. For operators, the real win is buying frontier AI on the cloud bill you already have.
Today, we're bringing OpenAI models to Google Cloud's model garden. We're now the only hyperscale cloud provider offering access to all three leading closed source LLMs—alongside 200+ other models—on a unified enterprise platform → goo.gle/4zJ0VZQ
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At hundreds of thousands of GPUs, one slow machine can hold up an entire training run. Reliability is the unglamorous part of AI at scale, and it's the same lesson for anyone putting AI into daily operations.
We trained our Muse foundational models, including Muse Wonder, at Prometheus, our gigawatt-scale supercluster in New Albany, Ohio. Across a supercluster with hundreds of thousands of GPUs, even one underperforming host can slow an entire training run. We engineered Prometheus for resilience at scale, achieving 85%+ goodput on pretraining, 90%+ on reinforcement learning and ~47K GPU hours mean time between interruptions during Muse Wonder training. Take a look at the tech powering Prometheus: go.meta.me/4yXXApZ
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Germany is betting its next decade of manufacturing on industrial AI, with NVIDIA as the backbone. The real test is whether it moves from summit announcements to everyday factory floors.
Germany knows how to build, and now it’s bringing that expertise to industrial AI. 🇩🇪 Tonight in Berlin, @JensenHuang and Chancellor @_FriedrichMerz discussed combining German engineering with NVIDIA AI to advance manufacturing and automotive. We’re also backing Germany’s builders, with new planned investments in Agile Robots SE, @aveliosmed, @MireloAI, and @reflexaerospace, spanning robotics, healthcare, creative tools, and space. Meet the companies and catch up on today’s news from Berlin: blogs.nvidia.com/blog/german…
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Anthropic is giving critical open-source projects free AI security scans, and it already found a serious bug in curl. Attackers are using AI agents now, so defenders need the same tools. I'd rather our vendors find their holes before someone else does.
We launched OSS Scanner, which gives critical open source projects free, periodic vulnerability scans from our strongest models. Each finding includes a proof-of-concept, and a patch where possible. red.anthropic.com/oss-scanne…
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The price of running AI agents keeps dropping. Cheap only helps if the work is right, so I'd test this on real workflows and check the error rate before moving anything that matters.
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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Microsoft's new controls can cut an AI agent's permissions, require human approval, or shut it down as its risk rises. That's the right model: give agents only the access the task needs and keep the off switch outside the model.
What if an AI agent accesses data or tools it shouldn’t? Introducing new Microsoft 365 E7 and Project Perception capabilities that help security teams govern agents 24/7: msft.it/6010av6zu
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Marcus Aurelius never found the art of living in wealth, fame or indulgence. He found it in acting on good principles. Justice, self-control, courage and freedom are still the best place I know to look. #SpreadingPositivity #AlohaSpirit #Stoic #Principles
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Tenstorrent raised $1.5B to scale servers that run open-weight models on-prem. More real alternatives to Nvidia should mean cheaper inference for the rest of us, and that's what I care about.
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Marcus Aurelius said that if you're good, straightforward, and well meaning, it should show in your eyes. Before calling someone a false friend, it's worth asking if we talk about people the same way when they're not around. #SpreadingPositivity #AlohaSpirit #Stoic #Authenticity
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Anthropic is putting 5% of its shares into a public benefit fund and named AI's impact on workers as one focus. With a workforce like ours, that's the question I want AI vendors taking seriously.
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. anthropic.com/news/public-be…
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