Shanti Greene

26 posts

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Shanti Greene

Shanti Greene

@TheAIDataExec

Data science, engineering, and innovation leader. https://t.co/QSPpUDZUeF https://t.co/MKDnfUHyce

St. Louis, MO Katılım Kasım 2023
96 Takip Edilen28 Takipçiler
Shanti Greene
Shanti Greene@TheAIDataExec·
Six months testing too many frontier coding models on real client work. The TL;DR: stop chasing the best one. My default: Claude Opus 4.7. First-attempt correctness beats every alternative I've measured, usually by a lot. Max subscribers, the analysis ends there. The rest of the field: → Codex 5.4: competent but painfully slow. Nothing it produces justifies the wait. → Gemini 3 Pro: gorgeous UIs, then invents APIs that don't exist when you wire them to anything real. → Grok Code Fast: fast, good at single functions, falls apart on whole projects. Cost tiers: → No constraints: Opus for everything. → Cost-aware: Opus/Codex for planning, Sonnet/Grok Code Fast for execution. → Cost is a major factor: K2.6 or GLM 5.1 to orchestrate, DeepSeek v4 or Qwen3 Coder Plus for subtasks. Recent personal benchmark: same prompt, same refinement, same web game: →Codex Spark: 94s. Looked great. Critical rules bug. →Claude Opus: 12m 34s. Worked first try. Fun. →GLM 5.1: 14m 27s. One mode never worked. Speed is meaningless if the code is broken. Pick one model. Get good at it. Stop shopping. You'll solve 80% of what hits you with whatever you've genuinely learned. Pay for the premium tier, $200/mo sounds steep until you waste a week getting throttled. One IDE, one terminal, one workflow. Learn the whole stack: agents, skills, configuration. I have 5 IDEs, 4 terminals, and more subscriptions than I can track. It's ridiculous. Don't be me. Full breakdown: answerrocket.com/code-faster-wi… What are you actually running?
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Shanti Greene
Shanti Greene@TheAIDataExec·
@budapp Working with existing subscriptions, that's fantastic
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Bud
Bud@budapp·
Introducing Orchids 1.0 - the first AI app builder to build and deploy any app, any stack (web, mobile, chrome extension, slack bot, AI agent, anything). Use your ChatGPT, Claude Code, Github Copilot, Gemini subscription - or any API key to use models at cost. Comment below to get 100k free credits. Everything you need to build with AI in a single tool.
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Shanti Greene
Shanti Greene@TheAIDataExec·
I was recently quoted in InfoWorld on what it takes to make enterprise data AI-ready. As agents transition from experiments to critical workflows, the expectations for data governance, security, and explainability are increasing. Ensuring data readiness involves incorporating metadata, lineage, provenance, and human-in-the-loop feedback to bridge the gap between model output and business reality. infoworld.com/article/409142…
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Shanti Greene
Shanti Greene@TheAIDataExec·
@AravSrinivas @comet Custom themes would be nice, I like to differentiate my browsers at a glance. Mobile browser with profile syncing
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
What’s currently frustrating about Comet? @Comet will go through the comments here and triage issues for our team.
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Bindu Reddy
Bindu Reddy@bindureddy·
Is Twitter full of humans or bots? I bet we have over 70% humans on here... bots generally don't get much engagement, so it doesn't matter that much Comment on this post if you are human. AI Bots. Please don't comment on this 🤣🤣
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Shanti Greene
Shanti Greene@TheAIDataExec·
The new @FellouAI spatial agentic browser (Fellou CE) built me a dashboard to cut through the clutter of my AI newsletters. It reads my emails from the past day, gets the linked stories, ranks the novelty and impact, and presents them.
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Neo AI
Neo AI@withneo·
Introducing NEO: The first Autonomous Machine Learning Engineer. It works like a full-stack ML engineer that never sleeps: handling data exploration, feature engineering, training, tuning, deployment, and monitoring, end to end. Powered by 11 specialized agents, NEO runs autonomously, saving ML engineers thousands of hours and making them 10x faster. Benchmarks: Tested on 75 Kaggle competitions, NEO scored a medal in 34.2% of them, significantly outperforming Microsoft’s RD Agent (22.4%) on OpenAI's MLE Bench. This sets a new state of the art for autonomous ML systems. NEO runs on a novel multi-agent orchestrator, powered by a multi-step reasoning engine, context transfer protocol, and agent memory, built to solve complex workflows end to end. And with human-in-the-loop mode, you can guide, inspect, and override any step. You're always in command. NEO is built for real world workflows and ready for production. NEO is here to make every ML engineer truly superhuman. Watch NEO in action:
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Bindu Reddy
Bindu Reddy@bindureddy·
I made this with one single prompt.... It's getting pretty real. Any guesses which service I used? :)
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Shanti Greene
Shanti Greene@TheAIDataExec·
Well this was surprisingly fun, let's see how the product actually functions. I got the keys to my new inbox @NotionMail! 🚀 My achievements: 📄📚📨🎵⚡ ntn.so/mail
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Shanti Greene retweetledi
You.com
You.com@youdotcom·
In a world of deep research, go deeper with ARI. Meet ARI: The world's first professional-grade deep research agent.
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AshutoshShrivastava
AshutoshShrivastava@ai_for_success·
If you think DeepSeek is cheap, wait until you try ChatLLM. That’s one subscription I’m never canceling! 🤣 For just $10, I get way more than $200 worth of value. All SOTA models, they add new ones within 1-2 days. Image generation, video generation, AI agents, CodeLLM. 👇
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Shanti Greene
Shanti Greene@TheAIDataExec·
Partial Least Squares (PLS) Regression is a powerful analytical tool for complex datasets. The method shines in situations with high-dimensional data characterized by multicollinearity among predictor variables Read my full article on Builtin. builtin.com/articles/parti…
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Shanti Greene
Shanti Greene@TheAIDataExec·
In the realm of generative AI, the hallmarks of AI-generated content are unmistakably familiar. Ben Weinert, PhD and I explore prompt tuning in part 3 of our Build vs Buy series on generative AI. Check it out on Built In. builtin.com/articles/ai-ou…
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