Director Business Operational Transformation. Fighting Cancer with Technology at Moffitt Cancer Center @MoffittNews #IamMoffitt Posts are my own opinions

Tampa, FL
Joined August 2009
Innovation has a new home at Moffitt! Today, we celebrated the grand opening of our 250,000-square-foot Discovery and Innovation Center at @Speros_Florida in Pasco County, bringing scientists, researchers and innovators together to accelerate discoveries and advance the next generation of cancer treatments.
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Bill Arneson retweeted
In today’s newsletter: the @mathonco PhD program! Apply by Dec 1 moffitt.org/cancerphd
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Same! Just when my laptop thinks it’s getting a break, I’m there to start Codex on my phone
I think Codex’s mobile remote mode is seriously underrated. I often use it to keep projects moving when I’m away from my computer. OpenAI has a guide you can give Codex to help it design a remote workflow around your projects and daily routine. If you only open Codex on your phone to check progress, you’re missing its most useful part. A task might still have a lot of work ahead, but all it needs from you is an answer or a decision about how to proceed. That doesn’t have to wait until you’re back at your desk: give it that direction from your phone, and your computer can keep working. To get started, open the latest ChatGPT desktop app and go to Settings → Connections → Control this Mac or PC, then scan the QR code to pair your phone. Pairing starts in the desktop app, not the Codex CLI. Use the same account and workspace on both devices, and keep the desktop app running and your computer awake and online. Send this prompt and the link below to Codex 👇 “Read this Remote guide and help me design a remote workflow around my projects and work habits. Use the context you already have to understand what I’m working on, then ask about anything that would affect the plan: how long I’m usually away from my computer, how often I can check my phone, and whether my computer can stay awake and online. Don’t give me a generic feature list. Choose tasks from my actual work that are best suited to making progress remotely. Explain what to prepare before I leave, what you can complete independently, which decisions I can handle on my phone, and which checks should wait until I’m back at my computer. Fit the workflow to my time and devices without requiring constant attention. If I don’t reply, don’t proceed past steps that need my approval. Verify that the required features are available in my current setup, then give me a concrete plan I can try the next time I’m away. Propose the plan first; don’t change settings or start tasks yet.” developers.openai.com/blog/m…
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A great AI implementation process documented here, thank you Mark!
If you want AI implemented in your enterprise operations, here's the order we run it in. A total of five steps. 1. Frame. Pick one workflow with real users, a deadline the customer feels, and a number you already track. Client reporting, onboarding, reconciliation, exception handling: the burden shows up in somebody's calendar. Sign the baseline before anyone builds. FOMO hates this step because it produces nothing to show a board, and it's the only thing that makes step five honest. 2. Prove. Build the smallest useful slice on real data in two to four weeks, with the assumptions, traces, errors and the human review all visible. You get a working capability, a first evaluation, and an honest failure profile. If the profile is ugly, you found out for the price of a month. 3. Harden. Add the security, the cost controls, the fallbacks, and a named owner. A working demo is where most programs stop. Production is a runbook and a person whose phone rings when it breaks. 4. Embed. Train the users, hand over the knowledge, watch adoption. Technical accuracy isn't business value. If nobody in the operation touches it on a Tuesday, it's a science project. 5. Scale. Adjacent workflows and reusable pieces, chosen from what step four measured and never from a platform pitch. The consultancy version of the same journey runs in the other order: a long diagnostic before anyone touches real data, a program justified by projected benefits, success measured in workshops held and slides delivered. We measure it in work shipped and a return both sides can verify.
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Spent my first weekend with @OpenAI GPT-6 Astra Biggest improvements I noticed: • Handles much more context without losing the plot • Better at long, multi-step work • Adapts when I change requirements midstream • Connects decisions across complex projects • Challenges my assumptions more often • Produces finished work instead of stopping at analysis I can hand it more of the problem. Astra is an upgrade to what I can delegate.
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Bill Arneson retweeted
#FollowFriday give @ml4onco a follow! 👆 The @MoffittNews Machine Learning team is using AI, data science and computational approaches to help uncover new insights in cancer research and improve how we understand and treat disease. Follow along to see how machine learning is helping shape the future of cancer care. 🧠💻🔬
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What is happening today. @grok is down and now I cannot login to @ChatGPT
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Here we go! Passing credentials safely in workflow steps is a huge advantage and eliminates a lot of human admin tasks.
ChatGPT Work can now use its computer and browser to sign in to websites on web and mobile, without ChatGPT ever seeing your username or password. That means you can ask it to: • Set up utilities for a new apartment • Book a DMV or passport appointment • Check reimbursement costs through your insurance • Find and book an in-network doctor around your availability • Check when your car registration expires and prepare the renewal paperwork • Compare your rental insurance policy with an issue you’re emailing your landlord about • Find and save apartment listings that match your criteria • Restock something just by uploading a photo • Schedule a package pickup for a return • Cancel tickets for a rescheduled trip • Book a vet appointment • Submit reimbursement paperwork for medical treatments • Check resale sites for new drops and save things you might like • Find candidates with specific experience and draft outreach • Take invoices from your email and submit them to your accounting software • Draft replies to rental property inquiries • Fill out permit applications for your small business • Add action items to a vendor portal based on a recent client call • Analyze the latest ad campaign for your small business
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Bill Arneson retweeted
We are recruiting a @USouthFlorida undergrad for an internship in artificial intelligence applied to mathematical oncology in my group @MoffittNews. Interested candidates please send me an email with the details in the link: labpages.moffitt.org/westj/o…
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#AmbassadorSpotlight Ever wonder why being a Moffitt Social Media Ambassador matters? Bill Arneson (@thetechleader) shares how the program has helped him grow professionally, expand his network and become part of a close-knit community. He also discusses his favorite content to post and advice for joining the program. Connect with Bill and our ambassadors to see how they're helping advance Moffitt's mission and their professional brands. #MoffittAmbassadors
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Bill Arneson retweeted
'PROTEUS ONE': A new machine at Moffitt Cancer Center offers a unique treatment for reducing the size of tumors located near vital organs in cancer patients. #cancer #pascocounty wfla.com/news/pasco-county/m…
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Keep working on your mind. Just finished the Kybalion. Book recommendation by @ufophilosophy
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Bill Arneson retweeted
2023: prompt engineering. 2025: context engineering. 2026: loop engineering. The label keeps changing. The skill underneath never did. Karpathy, Boris Cherny, and Steinberger all moved the skill to loop engineering, and those names carry weight. Each one renamed the same job. Prompt engineering meant writing the right sentence. Context engineering meant feeding the model the right information. Loop engineering means wrapping an agent in a program that runs until a test passes. What changes across all three is where you make the call, not whether you have to. You still decide what good looks like before the model runs. Nobody mentions the bill. One loop can burn $50 to $100 in credits on a single task. The people posting $20,000 daily token runs aren't paying out of pocket. A loop pays the model to supply judgment it doesn't reliably have. You supply that for free. Spend the thinking before the tokens, send cheap work to cheap models, cache what repeats, stay in the loop yourself. The name on the skill will change again next year. The skill won't.
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Bill Arneson retweeted
We've doubled usage limits in Claude Cowork for the next month. Delegate bigger, more complex tasks to Claude.
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Finished reading Initiated by Matthew Roberts @ufophilosophy What a story!
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We're eager to announce our participation in @MoffittNews' new regional coalition FORGE, alongside several other globally accredited institutions. 🚀Read the full press release: embarccollective.com/resourc… 🚀Read the official @TBBJnewsroom story: shorturl.at/3CVp7
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Bill Arneson retweeted
Never stop believing in who you are
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