ari

technophile data junkie, believer in Jedi powers ✨ 🧠 designing products that improve the human story. OG. Posts deleted via SIM swap often...

[ari @Ari]

@gaurav_kochar describing likely impacts may help laypeople grok the gravity and will be visible within the year

[ari @Ari]

@dom_lucre Axe the gold font at the end. that doesn't read golden age, it reads rich idiot

[ares. 🎧 @aresotik]

Ahora Claude Code puede leer documentaciones completas sin gastar un solo token.

Solo necesitas conectarlo a NotebookLM de Google vía MCP.

Aquí el tutorial de cómo hacerlo. ⬇️

[ari @Ari]

@ErickSky i am a photoshop 1.0 user, After Effects when it was owned by Cosa. This isn't a death certificate. What was adobe supposed to do? Give the LLMs money to build the integrations while taking away the CREATIVE tooling that an artist will use via prompt, single layers or paper

[Sick @sickdotdev]

unfollowing everyone on linkedin except this guy

[ari @Ari]

@Jihooncrypto It’s as if someone was trying to destroy the U.S. economy

[ari @Ari]

@9_THIRTEEN @ABC7 U made my day 🙏

[Science girl @sciencegirl]

A microscopic view of neurons forming new connections

[Lior Alexander @LiorOnAI]

It's over. Karpathy just open-sourced an autonomous AI researcher that runs 100 experiments while you sleep.

You don't write the training code anymore.

You write a prompt that tells an AI agent how to think about research.

The agent edits the code, trains a small language model for exactly five minutes, checks the score, keeps or discards the result, and loops. All night. No human in the loop.

That fixed five-minute clock is the quiet genius. No matter what the agent changes, the network size, the learning rate, the entire architecture, every run gets compared on equal footing. This turns open-ended research into a game with a clear score:

- 12 experiments per hour, ~100 overnight
- Validation loss measures how well the model predicts unseen text
- Lower score wins, everything else is fair game

The agent touches one Python file containing the full training recipe. You never open it. Instead, you program a markdown file that shapes the agent's research strategy.

Your job becomes programming the programmer, and this unlocks a strange new loop:

1. Agents run real experiments without supervision
2. Prompt quality becomes the bottleneck, not researcher hours
3. Results auto-optimize for your specific hardware
4. Anyone with one GPU can run a research lab overnight

The best AI labs won't just have the most compute.

They'll have the best instructions for agents who never sleep, never forget a failed experiment, and never stop iterating.

[Massimo @Rainmaker1973]

Neural networks and machine learning, visualized

[ari @Ari]

@robertlufkinmd i hope this isn't a tease - i've been devestated about my hands having osteoarthritis making my thumbs deform and hurt so much.

[Vadim @VadimStrizheus]

this is what a company looks like in 2026.

not people. not offices. not salaries.

a folder.

.claude/agents/
engineering/
marketing/
design/
ops/
testing/

every role. every department. every function.

all .md files.

i have 12 of these running in OpenClaw right now.

the org chart is dead. the directory is the new company.

[Paul Couvert @itsPaulAi]

So Google has just released its own agent builder?!

You can now add the agent block in Google Opal and "program it" in plain English.

And it has natively:

- Tool call (with Nano Banana, Veo, web search...)
- Memory to save infos between sessions
- Conditional logic

Probably the easiest way to build AI agents I've seen so far.

[ari @Ari]

@JeromySonne My prodded reply.
∙Judaism → my epistemology (how I reason)
∙Buddhism → my architecture (non-self, impermanence)
∙Protestantism → my reward signal (what “helpful” means)
∙Islam → my governance (submission to constitutional principles)

[ari @Ari]

@Saboo_Shubham_ any insights into personalization variables? ie, the cookies equivalent in webMCP? the personalization/pref handling = "IDentic" agents. hope we can get our shit together to ensure incentives lay in control of the 'person'

[Brandon Luu, MD @BrandonLuuMD]

Dog ownership was linked to ~40% lower odds of disabling dementia.

There was no protective signal for cat owners.

[Untold Secrets @RealGemsfinder]

In China, an engineer came up with anti-mosquito air defense 🦟

[ari @Ari]

@_joe_harris_ FUN! i could use my obsession of learning about robots for use?! another business rabbit hole

[Prasenjit @Star_Knight12]

Google launched a brand new AI tool.

It's called CodeWiki, and it might be the biggest upgrade GitHub has had in years.

And all you do is paste your GitHub repo in, and it turns your entire project into an interactive guide.

It also generates diagrams, explanations, walkthroughs, everything you could ever want, and even a chatbot that knows the code better than anyone else.

So you never have to dig through a giant repo again wondering what does this do