Syed Muzayan Mehmud

184 posts

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Syed Muzayan Mehmud

Syed Muzayan Mehmud

@syedmuzayan

Making LLMs actually useful for work → building 🔍 https://t.co/Dvf5KGRYE1 · 🧠 https://t.co/lR0LT7183J Ex-Principal Consulting Actuary

USA Katılım Temmuz 2016
20 Takip Edilen9 Takipçiler
Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
Why isn't USA in the pick list for region when trying to download claude for excel from msft site? The first entry is Antigua, and it's a required field. @claudeai @Microsoft
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Melanie
Melanie@MSiekmoeller·
Rate limits improved my life. Before: 10h manual coding marathons. Now: High-output bursts + forced "touch grass" intervals. The output is higher. The burnout is lower. Stop complaining about limits and start enjoying the breaks.
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
Did you see "Claude Design"? TOTAL DISRUPTION… Canva and Figma are freaking out… As will ALL other verticals. The LLM companies will disrupt every specialized vertical use case in order to maximize their revenue, to build out their data centers and close their business case. Fireworks are just beginning!
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
@sherifgjini Dogfooding my product. For example, security scanning my repo, marketing copy, and of course - building the product that makes all that work. It’s an ouraboros
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Gini
Gini@sherifgjini·
As a founder How are you actually using AI?
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Chris Anderson
Chris Anderson@chr1sa·
Codex way better than Claude Code for me now. Plus I don't run out of tokens before lunch
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
@thepericulum You have to pay api cost if you want to use sonnet or opus in cursor, right? I agree on ux. Model mileage varies with tasking.
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
I agree. I also think the only durable moat in the end is human expertise. And you cannot encode that for any complex process through a markdown file or a a set of docs or even a db. I've been focusing on how to make it easy to encode expertise that can shepherd a complex agentic workflow (e.g. a consulting firm deliverable). I think the only thing that works is a certain kind of decision tree that then guide any agent you choose to work with.
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Tom Blomfield
Tom Blomfield@t_blom·
To get LLMs to work effectively, you need to extract and document all the implicit "domain knowledge" in your business. Once you do that, AI agents are magical. But it also means that OpenAI/Anthropic have full access to your company's domain knowledge 😬
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
Anything that locks your context with a vendor, inference provider or a frontier model - is a bad idea.
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Street Fighter Movie
Street Fighter Movie@Street_Fighter·
FIGHT! Watch the Official Trailer for Street Fighter, hitting theaters everywhere October 16.
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Conner Bean
Conner Bean@ConnerBean·
AI is making the average engineer worse but the best even better
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
In order for AI to be useful for real work rather than create slides, draft email, or summarize data - it needs to follow a complex methodology. Human expertise isn't a markdown file or a prompt. We need something other than what exists today to effectively encode it for AI agents. Which is why I built mcpforx. I pushed the complexity on this example, 24 separate skill instructions and 51 edges/decision points. Connect any AI agent (cursor, claudecode, codex etc.) and it can follow your workflow. In this case a life insurance underwriting process that routes applications  through simplified issue, full medical underwriting, or group scheme tracks, each with their own assessment logic. I'll post a link in comments, comes with sample prompts you can use to test the concept with your AI agent.
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dax
dax@thdxr·
in the past week we've improved opencode's startup time by 2.3x not by doing anything smart, just by doing fewer stupid things it's still not amazing so will keep chipping away
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
If OpenAI is the promise and MSFT the reality when it comes to enterprise. It seems the market is simultaneously bullish on the hype and bearish on the reality.
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Kieraj Mumick
Kieraj Mumick@kierajmumick·
Excited to announce the first major product I’ve worked on at @OpenAI : Computer Use in Codex! Our team has been hard at work bringing this magical experience to you over the last couple of weeks Let us know how you use Computer Use! Some of my favorite details 👇
OpenAI@OpenAI

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.

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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
I think we need a great OSS library that can auto-scan github repos and give it a check mark and update on each merge. It would be a huge services to OSS, and github should probably spearhead. Don't need mythos for it, I think even a cheaper model would be a giant step up from where we are.
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Syed Muzayan Mehmud
Syed Muzayan Mehmud@syedmuzayan·
@ycombinator @DatostApp @MaceoCk Does it accept MCP? Semantic layer is one important aspect. Another crucial one is the methodologies and expertise of the team or user. Wondering whether what I'm building plugs into this.
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