Paul Shell
2.4K posts

Paul Shell
@PaulShellDev
@Microsoft Alum | @GauntletAI 🛡️ 1 | Philomath
Texas, USA เข้าร่วม Eylül 2015
203 กำลังติดตาม2.8K ผู้ติดตาม

@CintanyaMediaku Wonder how close a VR headset with pass through could get
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Okay, now someone do it with Microsoft Copilot
Vivo@vivoplt
No way someone actually made a Claude episode of The Office 😭
Tomball, TX 🇺🇸 English

@_Evan_Boyle Need a placebo refresh button to spam while waiting
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@github @AnthropicAI @code @burkeholland y'all need to redo your live stream competition now
See what kind of bird this one makes
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📣 Claude Fable 5, the first in @AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot.
It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in @code or the GitHub Copilot app. ⬇️
github.blog/changelog/2026…
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@_Evan_Boyle Future of work for devs or anyone? 🤔
A hackathon weekend with Canvas may be in order...
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@tiberriver256 @_Evan_Boyle The new Microsoft models will help. Same with the work on token caching.
Local and byok are options with Copilot in VS Code.
Business is where it's at though, and it's awesome.
Tomball, TX 🇺🇸 English

@_Evan_Boyle Not sure the future of GH Copilot looks bright from the outside...
New signups blocked and then priced yourselves 2-3x your competitors in the individual consumer subscriptions market seemingly to drive people away?
Very confusing product decisions in spite of solid engineering
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Software engineering in the LLM era is so easy to fall behind or endless distraction trying to keep up
Highly recommend this article from the trenches
Patrick Skinner - edu/acc@PSkinnerTech
Tomball, TX 🇺🇸 English

I installed @msftClarity for a local biz (quick, free)
Filter for dead clicks + Session insights
Saves so much time understanding UX issues that lose customers

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Paul Shell รีทวีตแล้ว

It’s time to move from renting intelligence to truly controlling your AI. Microsoft Frontier Tuning lets you take our models and make them uniquely your own, turning them from capable generalists to completely custom partners.
It starts with reinforcement learning environments (RLEs) that allow our models to learn directly from your workflows. Think of them as training gyms for AI. Here the agent learns your very specific processes, your standards, your way of working. It goes from off-the-shelf to hyper-adapted to exactly what you and your teams need. Those adaptations drive efficiency and performance, and your unique models can keep continually learning in your RLEs. This changes the nature of AI – and it changes the impact.
For example, within Microsoft we use our RLEs combined with our MAI models to climb towards the best agentic use cases for Excel. Our MAI tuned model is on par with GPT-5.4 on public and private benchmarks, while being up to 10X more efficient.
Only you control your agents made with Frontier Tuning. You keep the benefits of your hard-earned know-how, data and institutional knowledge. With us, the RLEs and the models you build in them become your moat.
This is distinct. It’s a new era. An era of AI that you control, on your terms. I think it’ll be a good one. More on the blog: microsoft.ai/news/building-…

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Paul Shell รีทวีตแล้ว
Paul Shell รีทวีตแล้ว

@burkeholland @github Any idea if it's VS Code only or coming to the Copilot App too?
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Introducing MAI-Code-1-Flash
Microsoft's latest small coding model.
51.2% on SWE-Bench Pro.
Rolling out now to @GitHub Copilot Free, Pro, Pro+ And Max users.
microsoft.ai/models/mai-cod…
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Paul Shell รีทวีตแล้ว

Seven new models launching at Build: let’s go!
Reasoning. Code. Image. Transcribe. Voice.
Built from scratch on a clean data lineage, designed for efficiency, working seamlessly as a family of models
Thread 🧵
#MSBuild

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