Data & Analytics Strategy Consultant - #DataLiteracy #DataCulture #DataGovernance #DataStrategy #DataArchitecture Explore my SAP-minded Twitter: @sapanalytix
In the Middle of Data
Joined July 2010
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Data Strategy in a Nutshell retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Data Strategy in a Nutshell retweeted
GPT-6 Astra is here.
We hope it will begin to enable a new generation of entrepreneurship, scientific discovery, and building.
We believe it is the best model in the world for computer use, professional work, science, coding, cybersecurity, and more.
It took us some extra time to ensure that we could meet the safety and alignment standards required for this capability level, but we think you’ll find it worth the wait.
It scores 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3, and 100% on ExploitBench.
Data Strategy in a Nutshell retweeted
Andrej Karpathy has eight years at OpenAI and Tesla behind him.
Recently he put all of it into a single free 2-hour lecture.
Agents -> Loops -> Graphs -> Self-Improving Systems
People pay $10K for bootcamps that cover less ground than this does.
Two hours is a lot to ask in the middle of a week.
It is still shorter than the intro module of any paid AI course.
Save it now, watch it tonight, and the full guide is waiting below ↓
Data Strategy in a Nutshell retweeted
Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok.
These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet.
Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule.
Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there.
Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash).
Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027.
Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.
Data Strategy in a Nutshell retweeted
Instead of watching 1 hour of Netflix tonight, watch this ex-Google Chief Scientist Jeff Dean’s lecture. It’s the clearest explanation I’ve seen of the full AI engineering stack - from building LLMs from scratch all the way to one human coordinating 100 agents.
The best part is that it’s useful whether you’ve never touched a model or you’ve been shipping agent systems every day for the past year.
Bookmark it & watch the whole lecture this weekend, because it might end up being the most valuable thing you learn all week.
Data Strategy in a Nutshell retweeted
Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.
Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.
Try it: sakana.ai/fugu 🐡
Data Strategy in a Nutshell retweeted
Best 15 accounts to follow in AI:
@karpathy
= LLMs king
@steipete
= built openclaw
@gregisenberg
= startup ideas king
@rileybrown
= vibecode king
@jackfriks
= solo apps king
@levelsio
= startups king
@marclou
= startups king
@EXM7777
= AI ops + systems king
@eptwts
= AI money twitter king
@ai_explorer25
= AI queen
@godofprompt
= prompt king
@vasuman
= AI agents king
@AmirMushich
= AI ads king
@0xROAS
= AI UGCs king
@egeberkina
= AI images king
Follow them all and learn.
Data Strategy in a Nutshell retweeted
🌟From Test-Driven to Loop-Driven Development🌟open.substack.com/pub/genera…
Data Strategy in a Nutshell retweeted
Claude Code works best when you stop prompting and start operating it.
→ give it rules
→ give it tests
→ give it skills
→ give it reviewers
→ let it iterate
🌟 Beyond the Prompt: Claude Code 🌟
arps18.github.io/posts/claud…
Data Strategy in a Nutshell retweeted
Turns technical books into Claude Code skills
github.com/virgiliojr94/book…
Data Strategy in a Nutshell retweeted
this guy literally put a full AI engineering curriculum on GitHub and made it 100% FREE 🤯
435 lessons.
20 phases.
320 hours.
The rule that makes this curriculum completely different:
Every algorithm gets implemented from raw math before a single framework gets imported.
You build the backprop.
You build the tokenizer.
You build the attention mechanism.
By the time you use PyTorch, it’s just a shortcut for something you already know how to code from scratch.
It spans four languages:
→ Python for ML pipelines
→ TypeScript for agent tooling
→ Rust for performance-critical components
→ Julia for numerical computation
And the best part?
Every single lesson ships something you can actually use.
You walk away with fully deployable prompts, SKILL. md files, agents, and MCP servers.
The curriculum scales from foundational math all the way up to autonomous agent swarms and production infrastructure.
Free, open-source, and MIT licensed.
repo in 🧵↓
Data Strategy in a Nutshell retweeted
ai layoffs are getting out of hands so I built “I GOT FIRED” button 🚨
one click, and it makes entire company codebase public, pushes .env secrets to public repo, drops staging db and finally notifies my lawyer 🙂
I hope I never need it but it’s ready 👍🏻
Data Strategy in a Nutshell retweeted
i co-wrote the Anthropic engineering blog on Claude Managed Agents, and wanted to share some thoughts on agent harnesses + infrastructure for long-horizon tasks ... 🧵
anthropic.com/engineering/ma…
Data Strategy in a Nutshell retweeted
Yes it's the tractable form of brain upload. There's a ton of scifi on brain uploads that requires way too exotic tech (scanning and simulating brains etc), when we're about to get a lossy and approximate version of that *a lot* sooner via LLM simulators. You can easily imagine a "brain upload" startup - you show up for a few days to carry out detailed video interviews, then they use all that data with an LLM finetuning process to "upload" you and give you an API endpoint of your simulation that you can talk to. Look at what's already possible with HeyGen as an example, but combine it with an LLM model that has deep knowledge and personality. Trippy and admittedly kind of dystopian but in principle quite possible around now.
Data Strategy in a Nutshell retweeted
I wrote this early this morning and I wasn't sure if I would actually publish it, but here it is:
blog.samaltman.com/2279512
Data Strategy in a Nutshell retweeted
I’m proud that so many of the world’s leading companies have joined us for Project Glasswing to confront the cyber threat posed by increasingly capable AI systems head-on.
teapawt.net/AnthropicAI/status/204…
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
anthropic.com/glasswing
Data Strategy in a Nutshell retweeted
Every team at your company should be creating their own 'Team OS' in Claude Code on Github. Here's how:
1:45 - What is a Team OS
13:37 - Shared skills and commands
25:24 - Shared team automations
59:50 - The learning flywheel
Data Strategy in a Nutshell retweeted
This 2-hour lecture by Andrej Karpathy - co-founder of OpenAI, the man who coined "vibe coding" - will build GPT from scratch and show you exactly why message 30 costs you 31x more than message 1.
Bookmark this & give it 2 hours today, no matter what. It's the best thing you can do for your Claude budget. Then read the article below.
After this, you'll never pay for tokens Claude spends talking to itself again.
