ai tools,updates, prompts,memes and more | 100k ig | 300M views
Joined February 2025
- Tweets 3,253
- Following 130
- Followers 391
- Likes 5,628
770 Photos and videos
Ask GPTs retweeted
Apr 15
The 5 generative AI models every leader should know:
1. Large Language Models (LLMs) = generate and understand natural language text
2. Code Models = specialized in programming languages and code generation
3. Diffusion Models = generate images from text prompts
4. Multimodal Models = handle multiple input types across text, images, and audio
5. Domain‑Specific Models = fine-tuned for specific industries or tasks
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Ask GPTs retweeted
Apr 11
Modern IT roles sit at the intersection of infrastructure, security, and AI. Explore the new Microsoft Certifications available today (with more coming soon), and get started with free self-paced training, practice assessments, and additional exam-readiness resources to help you demonstrate your ability to support the systems organizations rely on next: msft.it/6017Qfe2x
ALT Microsoft graphic featuring the Microsoft logo, two certification-style icons, and the headline ‘Microsoft Certifications for today’s IT roles.’ Subtext reads ‘Prove your AI skills by securing and supporting AI workloads, intelligent apps, and agents.’ A yellow abstract 3D wave design appears at the bottom with a rounded arrow button on the right.
ALT Microsoft graphic highlighting four AI‑focused certifications in rounded boxes: Copilot and Agent Administration Fundamentals (AB‑900), Agentic AI Business Solutions Architect (AB‑100), Cloud and AI Security Engineer Associate (SC‑500, beta), and Windows Server Hybrid Administrator (AZ‑802, beta). A yellow abstract design appears in the corner with a call to action to explore certifications on AI Skills Navigator.
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Ask GPTs retweeted
Apr 9
Silicon Valley is quietly running on Chinese open source AI models.
Here are the receipts:
→ Cursor confirmed last month that Composer 2 is built on Moonshot's Kimi K2.5
→ Cognition's SWE-1.6 model is likely post-trained on Zhipu's GLM
→ Shopify saved $5M a year by switching to Alibaba’s Qwen model. Airbnb CEO Brian Chesky has also said: "We rely a lot on Qwen. It's very good, fast, and cheap."
And now Zhipu dropped GLM-5.1, an open source model that performs almost as well as Opus on coding benchmarks.
📌 More on the Anthropic OpenClaw drama and what I'm learning about AI on the ground in China in my new post: creatoreconomy.so/p/the-all-…
Apr 8
As much as I love using Claude Max and ChatGPT Pro, I don't think these all-you-can-use AI subscriptions will last forever.
Here's my new deep dive that covers:
→ Why Anthropic cut off OpenClaw access
→ How to run local models on your Mac
→ What I'm seeing on the ground in China
📌 Read now: creatoreconomy.so/p/the-all-…
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Ask GPTs retweeted
Apr 9
@literalyme0_ deserves 90% of creator revenue
almost every video template you see on X are made by this guy
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Ask GPTs retweeted
Marketing is 100x harder than coding
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Introducing @claudeai agents in Notion. Your task board is Claude’s to-do list.
@AnthropicAI runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows.
Join the waitlist: notion.com/partners/claude
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Ask GPTs retweeted
Apr 8
Last year, we integrated into the @GeminiApp by allowing you to upload your notebooks as sources. Now, we’re taking our relationship to the next level 🏠 ♥️
Starting today, you can now:
— Access all of your personal, unshared notebooks directly inside the Gemini App
— Use your chats with Gemini as sources in new or existing unshared notebooks
We're rolling out notebooks in Gemini today, starting with Google AI Ultra, Pro, and Plus subscribers on the web. In the coming weeks, we'll expand access to mobile, more countries across Europe, and to free users.
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pov: that's not even a cold email, that's a stoned email
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Chatgpt vs Claude
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Ask GPTs retweeted
Apr 8
Claude Opus vs. Claude Mythos
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meta is finally back
Apr 8
1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵
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Introducing GLM-5.1: The Next Level of Open Source
- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.
Blog: z.ai/blog/glm-5.1
Weights: huggingface.co/zai-org/GLM-5…
API: docs.z.ai/guides/llm/glm-5.1
Coding Plan: z.ai/subscribe
Coming to chat.z.ai in the next few days.
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Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.
It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.
Now in public beta on the Claude Platform.
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Ask GPTs retweeted
Apr 8
We're giving away $10,000 in API credits to early-stage startups building voice-native products!
The Smallest AI Startup Grants Program is for teams that are:
- From leading accelerators
- Early-stage and venture-backed
- Led by exceptional bootstrapped founders
Apply in the link in the thread!
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> be an engineer
> ship code that “works locally”
> prod breaks anyway
> spend days debugging across tools
> logs, tickets, slack, chaos
> playerzero builds a “world model” of your system
> predicts bugs before users see them
debugging just became pre-crime.
Mar 23
Introducing: PlayerZero
The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot.
We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more
PlayerZero frees up 30% of your engineering bandwidth by:
1. Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify.
2. Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find.
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Here's why this matters:
No one in your org has a complete picture of how your production software actually behaves.
Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand.
PlayerZero connects all of it into a single context graph -
→ The Slack thread where your lead said "we went with X because Y fell apart in prod last time"
→ The PR review where an engineer explained the tradeoff
→ The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets
So you can trace any problem to its root cause across every silo.
And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows.
So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly.
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Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth.
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Our guarantee:
If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice.
Book a demo - bit.ly/3NlLMeN
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This video from ClaudeAI crossed 36 million views in just 13 hours
do you understand how big this is
>AI using your computer like a human
>clicking, typing, completing real tasks
>turning laptops into autonomous workers
>replacing hours of manual work instantly
anthropic just ate openclaw.
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.
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