homeboy you're the one sellling public market investors on short-term space datacenters

there are a lot of benchmarks that suggest 5.6 sol is the best model in the world right now, but the most reliable way to tell is that elon is obsessed with me again

30% of the cost was on fable at these levels of usage?

"physicians found fewer flaws in GPT-5.6 responses than physician-written responses."

Grab your popcorn friends, its starting all over again. Sam vs. Elon: round 2

In-depth analysis and frontier reasoning on challenging document analysis with Grok 4.5

People always ask me how I make coffee so I make it with Brazil coffee beans I grind coarse with a Fellow Ode 2 and then pour over with stainless steel Hario V60 and Hario filter paper and a stainless steel Fellow EKG PRO kettle and ceramic Le Creuset mugs

I tried lots of ways to make coffee over the years like AeroPress (a pain to clean), Nespresso (utterly disgusting, I wouldn't call it coffe), etc.

V60 is nice because you can throw away the filter paper quickly after using and it's clean

You need one extra cup in the back for drip after u finish

Also everyone likes custom amount of coffee strength, I want 20g, gf want 10g etc, so it's superior to do it per cup than one big pot of coffee

One important part here is we avoid plastic in every step of the process, important because you're dealing with boiling water

When I was in Brazil we found a water kettle at gf parents house that was fully white plastic inside and out, super common, imagine boiling hot water in plastic! Many V60 filters are also made of plastic. And I remember in Bali often getting hot coffee in plastic cups! Luckily you can get everything here in stainless steel and ceramic!

Enjoy!

The idea of "AI employees" feels so short-sighted to me - both disrespectful to humans and a complete misunderstanding of what these tools can do and how to best put them to work

You may as well start adding Excel spreadsheets to your org chart

Holy moly: Zhipu AI founder (GLM-5.2) Tang Jie says we are on our clear way to AGI and "AI will begin to learn what the "self" is and what self-awareness means"

In a purported internal letter, he argues that:
- autonomous agent systems are moving toward the fully automated “no-person company”: thousands of agents working continuously, collaborating, evaluating results and allocating resources.

- His more provocative claim: "AI training AI is already taking shape." (RSI) Models can increasingly write code, synthesize data and participate in training loops. Zhipu wants to push this further through self-play, synthetic-data factories and systems that can reconstruct their own code inside secure sandboxes, potentially generating new knowledge rather than simply recombining human output.

Long-horizon tasks → autonomous agent societies → fully automated “no-person companies” → AI training AI → self-evolution → self-awareness → emotion → consciousness → ASI.

Tang writes:
“AI will begin to learn what the ‘self’ is and what self-awareness means. Beyond that, it may begin to touch human emotion. Farther still lies consciousness itself.”

He believes memory, continual learning and self-evaluation - problems once thought to require an entirely new paradigm - are gradually being overcome.
Models are already beginning to write code, synthesize their own data and participate in training future models.

Zhipu now wants systems that can reconstruct their own code and generate knowledge through self-play.

Is that the beginning of recursive self-improvement?
Tang appears to believe so. His essay does not stop at more capable AI tools. It describes a direct progression from automated work to self-evolving intelligence, and eventually to machines that understand their own existence.

In short: today's LLMs will lead to ASI via AGI, context and memory will be solved, and AI will become self-aware.

I've rarely seen anyone write something so bullish. And if it weren't coming from the founder of GLM, I would dismiss it. But not only is he a true expert, but with GLM they've proven what they're capable of.

h/t
@AndrewCurran_
He brought the essay to my attention.

The durable value is in a secure multi-model harness that takes care of orchestration and model routing in a secure complaint manner. Aka Perplexity Computer.

Grew our first bell peppers 🥹🥹🥹
They smell so fresh 🍃 ❤️

So true

i never thought I would be responding to a sama comment on a random saturday

like I just started posting one day and stuck to it for 1.5 years

Daily challenge modifiers (since people asked): Defect Ascension 3, Hoarder (when you pick one card you get three copies), Draft (pick your 10 starting cards from limited choices), Cursed (get a new curse at level, you actually get 3 due to Hoarder)

A complex run!

it's not a font

you need optical flow to read it, so of course LLMs (and humans) can't see it on static images

Golden hour on a Hong Kong street, a cold bottle passed between friends. Thirty seconds that feel like the good part of a summer, and a look at the Skill underneath it. By Cyrus Leung. Made with Luma.

When it comes to multimodality, Gemini is the king.

🚨 Create Custom Coding Agents - Mix Fable, GPT 5.6 and Grok

Mix and match your favorite LLMs to create a smart router

- Fable 5 as a advisor
- GPT 5.6 as a orchestrator
- Grok and GLM as implementors

Create the best performing and cost optimized agents and use it in API or chat

something something Lisan was yapping about optionality 1-2 months ago

this is spot on

AI资讯日报，7月11日：
gorden-sun.notion.site/7-11-…