Assessment professional committed to access, opportunity, and student success. Exploring AI in higher education. Publisher, Intelligence in Common.
Robinson, IL
Joined January 2017
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1/4 Almost three chapters into @emollick’s Co-Existence, I keep thinking about AI’s jagged edges. As I delegate more of my work, I’m finding my place alongside it and wondering how we’ll work together as those edges keep moving. #AI #FutureOfWork
3/4 I’m still figuring out how to do this well. Sometimes I need to give more context or send something back. Reading the book, I keep recognizing those moments where its abilities and my own experience meet.
Muse Spark Open adds another option to the open-weight landscape. That matters.
What if colleges pooled infrastructure and expertise so smaller institutions could build too? I’d love to see AI access become something we work on together.
Gemini 4 Argon. Muse Wonder and Wonder Full. Muse Spark Open.
More competition at the frontier, more open-weight options. I’m encouraged by what that could mean for access and cost. Higher ed should be paying attention.
I’m watching agents do real work, and it’s impressive to think about what comes next.
More competition and open-weight models could put that capability within reach of more colleges. The possibilities shouldn’t belong only to the schools with the biggest budgets.
Congratulations @GoogleDeepMind @sundarpichai @koraykv @OfficialLoganK on Gemini 4 Argon! Pretty impressed with my one-shot roller coaster. Excited for what we can build as competition among frontier labs brings more choices and possibilities. #Gemini #AI
A college can have good software and still leave people chasing documents and approvals. I’m interested in whether AI can help us build small tools around that work, with the people who know it best.
The Software Between the Systems
intellcommon.substack.com/p/…
ALT Intelligence in Common essay card: “The Software Between the Systems” by Brandon Weger. Navy and teal lettering on ivory, with layered gold, navy, teal and ivory papers on the right.
Brandon Weger retweeted
Had some early access to Muse Wonder, but did not get a chance to use it a ton, yet it seems like a good model from limited test
Perhaps more impressive, compare the progress since April in my drowned neogothic city twigl shader test. Very fast progress from Meta in a short time
Congratulations @AIatMeta @alexandr_wang @finkd on Muse Wonder and Muse Wonder Full! Excited by the possibilities for sustained, multi-step AI work. More competition among frontier labs means more choices and more possibilities for what we can build. #MetaAI #AI
Anyone else seeing their usage allowance drop unusually fast today? Mine is down about 13% after only a short time online. I wasn’t seeing this yesterday. Wondering if there’s a glitch or something changed. @thsottiaux @OpenAI @OpenAIDevs #Codex #OpenAI
Brandon Weger retweeted
Announcing Gemini 4 Argon, our new frontier model.
Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense.
We’re also expanding the model’s output token limit to an industry-leading 1M tokens.
Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.
Brandon Weger retweeted
We hit a little snag getting the blog post deployed, but it is really great:
openai.com/index/gpt-6-astra…
OpenAI releases new model GPT-6 Astra, says it may represent AGI axios.com/2026/09/03/openai-…
Brandon Weger retweeted
Our newest Gemini 3.8 Flash model is available starting today for Pro and Ultra users.
Designed to work harder, Gemini 3.8 Flash delivers more reliable, comprehensive responses for actionable advice on everyday topics and in-depth tasks like text analysis and complex coding.
Brandon Weger retweeted
We’re excited to release Muse Spark 1.3 with improved performance on agentic and coding tasks, and a focus on real-world usability.
Key capabilities:
→ Sustains longer-horizon work across multiple workflows in a single thread
→ More actively collaborates with users: it asks clarifying questions, flags when it's stuck, confirms before consequential actions
→ Better calibrated on its own limits instead of hallucinating outcomes
→ ~20% fewer tool calls and ~25% fewer tokens vs. Muse Spark 1.2 in internal comparisons
Brandon Weger retweeted
I know it is a lot for instructors who never asked for AI to change things, but if you teach and have not updated your expectations over the last 6 months over what AI can do (a lot more), its error rate (a lot less), and its ubiquity among your students (near total), you need to
Where should colleges and employers start?
Try one bounded experiment: a course, capstone, early-career workflow, or shared project that can be tested and improved.
A pilot is a disciplined way to learn, not proof of success.
intellcommon.substack.com/p/…