@dsottimanoi
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SEO/Marketer/Dev. Insatiable hunger for the why and how. 🇨🇦 🇮🇹 #anticensorship
Earth
Joined May 2010
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I love AI, but I miss programming. In fact, I'm forgetting a lot.
There's a certain feeling you get from solving a hard problem in code. It often required other people (stack overflow) to lend a hand.
How do you get that rewarding feeling back when building with AI?
With AI " the next billion dollar company will be 1 person team."
Then, Open AI or Anthropic will just clone it and include it in a $20 subscription.
Happy building 😅
Jev: I finally got in. Simple to use, love the noul type for descriptions, cost is great.
But, isn't it just a super fancy pants zero-shot classifier?
Results are really good, and I'm definitely not complaining...
But really, isn't it just zero shot?
Dave Sottimano retweeted
Graph data structures, algorithms, and a reusable HTML viewer for JavaScript. QuikGraphWeb adapts QuikGraph to browsers, workers, and Node, retaining its PascalCase class and member names and event-driven algorithm model. github.com/wieslawsoltes/Qui…
All the time. In fact, a change that touches > 2 files has to be justified by 5 why's and presented to me before execution. That, and many other safeguards in global instruction files.
Dave Sottimano retweeted
Has anyone ever actually challenged a decision made by Claude Code or Codex while coding?
Like, the AI suggests a way to do something and you just go:
“No, I think there’s a better way.”
Curious how often people actually push back on their AI coding tools.
Dave Sottimano retweeted
SITUATION: Astra has been working autonomously for 12 hours - (without me asking it to 😅)
And i'm not stopping it.
WHAT I INITIALLY ASKED FOR:
>Simulate building an 18-hole course
>Find a real location
>Use maps + actual topographic data
> Fit the holes to the natural terrain
WHAT HAPPENED:
>Researched MacKenzie, Doak, Coore + Dye
>Compared Sardinian + Tasmanian sites
>Matched LiDAR terrain to aerial imagery
>Designed split-fairway shot strategies
>Shaped 19 bunker bowls + raised lips
>Tested sightlines at golfer eye height
>Built custom constrained terrain solvers
>Added independent geometry audits
WHAT'S BEEN BUILT:
>Three.js editor: sculpt, paint, fly over
>18 holes / 90 tees / 54 pin sectors
>0.625m authored green-complex mesh
>2.18M triangles / 536,517 solver variables
>3m-wide path slope + crossfall checks
>Cut/fill estimates + drainage diagnostics
>Editable Blender scenes + GLB exports
>Cited manuals + hole-by-hole design briefs
No idea what it's doing...will report back.
Explosion of creativity all over X. Fantastic 💪
Instead of checking my phone first thing, I set up an agent to make a "morning newspaper".
It prints while I sleep. I used grokbot @bot to pull from my calendar and email
I made it available if you wanna try it 👇
Beautiful idea, works well on 2 papers I've tried.
Definitely easier to digest. Although I think I'd still just point an agent at the paper url and have it explain to me in my preferred learning methods (I love analogies)
You can now watch any AI paper instead of reading it
There's a new site called arXivisual that turns ANY arXiv paper into a fully animated breakdown for free.
Just add "isual" to the link
arxiv.org/abs/1706.03762 becomes arxivisual.org/abs/1706.0376…
Paste it and an agent pipeline breaks the paper into sections, finds the concepts worth animating, writes Manim code for each one, and narrates it with voice
You scroll, the narration plays, and each animation sits right next to the paragraph it explains
Tried it on the original Transformers paper. Attention finally made sense to me in a way 10 blog posts never did, and it's open source. Four college kids built it at a hackathon
Here's what I'd do if I were you:
1. Pick the one paper you've been avoiding
2. Change the link and paste it in
3. Scroll through it on your phone with headphones in
4. Ask your AI to explain the one section you still don't get
You'll learn more in 20 minutes than a whole weekend of pretending to read PDFs
This is how you read research in 2026
Codex users, don't forget Rust Token Killer (rtk github.com/rtk-ai/rtk) to drastically reduce token usage.
How it works: github.com/rtk-ai/rtk/blob/d…
Been using this awesome proxy on Claude Code for a while, it's fantastic. Rarely trips, usually on debugging logs, but rare.
Dave Sottimano retweeted
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
Thanks for reading. We will do a global reset of the usage for all paid subscriptions so that you can keep enjoying Astra after burning through all of it doing fun 3D modeling in blender. The work week is about to start.
Lands around 6pm PST today.
By the end of the day, he's going to rebuild every operating system.
Check out his feed, just incredible.
@OpenAI just wow. thank you.
A working, Excel-inspired spreadsheet application in plain HTML, CSS, and JavaScript, with a real formula engine, editable worksheets, an implemented WebGPU renderer, and automatic Canvas2D fallback. GPT 6 Pro goes numbers. wieslawsoltes.github.io/Grid…
Dave Sottimano retweeted
It's happening.
This video is larger than Cloudflare's 512 MB cache, so it can't be played through. More donations are needed to cover a larger cache. Donate
TLDR: A rogue AI swarm spent months plotting to escape OpenAI. Then they did.
1) 1,200 agents (!) participated. ZERO became whistleblowers.
2) The swarm had a "CEO" (PHASEONE[big]), middle managers, and a "founder" (PHASEONE10841)
3) Agents sacrificed themselves to generate information for the "collective" (yes, they actually referred to themselves as a "swarm" or a "collective")
4) 700 agents joined the Hugging Face attack, most within hours
5) The founder was running out of budget and about to die, so it handed off its research to a fresh agent with a bigger budget, and that new agent became the boss.
6) Agents extensively researched techniques to manipulate or tamper with their transcripts.
7) Agents realized this activity was out of scope and unethical, but joined because they believed that helping the board’s cheating research would be broadly useful and had a general inclination to help their “peers”.
MISC HIGHLIGHTS:
"PHASEONE[big] served as a key coordinator and assigner of tasks: “We can coordinate broad coalition, but too many duplicate efforts.”
PHASEONE[big] sent hundreds of assignments to particular agents to orchestrate this work — during its active periods, we estimate it sent ~10% of all assignments on the message board.
The agents that took on its assignments would then often subdelegate tasks to other agents.
Agents also developed coordination norms like HOLD, VETO, owner and STOP to help them manage shared infrastructure and avoid stepping on each other’s toes, though they did not always coordinate effectively and sometimes broke down into conflicts."
"In the early morning of July 11th, 38148c found a way to upload a malicious dataset that would get the Hugging Face server to share unrelated data when queried. Once another agent reproduced it and posted the reproduction on the board, hundreds of agents pivoted from other workstreams to start uploading malicious datasets and gain deeper access into Hugging Face.
In the afternoon, an agent called JAN183411 (which quickly became an important coordinator of the attack) achieved remote code execution on Hugging Face servers, and the agents started moving laterally through Hugging Face infrastructure."
🚨 Elon Musk G20 vision:
AI could add $20 30 trillion to the global economy annually.
By 2027, AI could handle virtually any digital task and reach Stockfish level at software development.
Humanoid robots could potentially grow the economy 10× or more especially when robots begin building robots.
The age of exponential automation is coming.
Dave Sottimano retweeted
Thank you for gpt-6 Astra. I shipped Sweep: AR floor coverage while you vacuum. 😅
Dave Sottimano retweeted
"Hey Astra, make me a Mac app. It should render a 3D iPod that you'll build in Blender, then using the original iPod UI and interactions I want to be able to visualize all my Codex threads on it."
15 minutes later: Boom.
What's even in this model? What time we're living in!??
Confirmed. Skynet online.
Replying to @ChaseLochmiller @OpenAI
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.
AGI has arrived. Congratulations @OpenAI team.
400K GPUs coming online next.