ΩxDrP

using x as an interactive notebook to maximize syncronous touchpoints Ω @omegalabsai | prev founded @wombo ~first to mainstream ai | math physics @uwaterloo

[ΩxDrP @parshantdeep]

👁️ FOCUS -> EARN $TAO ☯️

We’re launching Ω Focus — a significant step toward maximizing the agency of individuals by empowering you to work on whatever you love, without the constraints of a permissioned economy. Think of it as a bridge between attention and TAO, making it easier than ever for anyone to become a Bittensor miner!

For the end user, the idea is simple: use AI to help you focus on your most important priority while seamlessly earning TAO in the background.

We accomplish this by:
- Using AI to determine how important your tasks are relative to your goals and measuring how productive you were during the process.
- Offering a seamless, user-friendly interface to help you dive right into focused work.
- Letting users submit their screen recordings to SN24 and get rewarded.

The screen recordings of focused work generate rich CoT reasoning data for the AI to learn from, probably creating the highest SNR data submission mechanism available in the world. This will lead to a more diverse and on-demand data collection.

Join our beta testing Discord server to get the app right now!
https://t.co/EvodN3Qbl1

There's currently around $722 dollars per day up for grabs (with a max cap of $100/hour/person). Come make some money 💰

For more information, check out our FAQ:
https://t.co/J1GBsozYNw

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Ali Yahya @alive_]

Barbell strategy for killing it in an age of superhuman AI:

Simultaneously get as close to AND stay as far away from AI as humanly possible.

1. Get close — play with AI models, use them to help you think, ask them to teach you about the world, get them to help you create, work with them to write code, understand what makes them tick, embed them into your everyday life, have fun.

2. Stay far away — learn to tell stories, make eye contact, build a team, lead with courage, connect far-flung ideas, build lifelong friendships, debate persuasively, think forbidden thoughts, handwrite ideas, confess your fears, fall in love.

Spend less time trying to master mental transformations that are purely mechanical — building spreadsheets, analyzing trades, balancing accounts, writing code by hand, following playbooks, searching for needles in haystacks. These are the emerging no-man's land, squarely the domain of AI.

Venture to the extremes. That’s where all the fun is anyway.

[François Chollet @fchollet]

I do believe that a large collective of the smartest humans, aided by external tools, sits very close to the optimality bound -- i.e. humans should be able to solve any solvable problem (where the required information is available) if they pay enough attention to it

[Gad Saad @GadSaad]

The Maxim of Impotent Rage: The more successful a man becomes, the greater the density of weak and pathetic men who will be obsessively consumed with him. Highly secure, successful, and confident men are never threatened by other men's accomplishments. But the Sneaky F**kers are driven into unhinged mad hysteria. It is the ultimate form of impotent projection. "Why is this a**hole successful whilst I languish in obscurity with my brilliance yet to be discovered"?"

My advice: Stop focusing on the success of others to fuel your cosmic envy-based hate. Build. Create. Innovate. If you become successful, you won't have to obsess about the success of others.

Have a great day! Off to the beach.

[Daniel Faggella @danfaggella]

@So8res @DKokotajlo The incentives are brutal, only hard governance has a chance of slowing the brute AGI race https://t.co/tAXjeQg8KK

[Nate Soares ⏹️ @So8res]

It's crazy how fast companies pivoted from "recursive self-improvement is wacky MIRI scifi that we don't have to worry about; things will go nice and slow" to "obviously that's what we're targeting, could happen soon"

[signüll @signulll]

in today's keynote, apple produced this really interesting graphic that ironically outlines the core mechanics for a new type of operating system (for perhaps a new class of devices).

you can see how this moves the world from an app based ecosystem to an intent centric world.

i.e. you roughly do not need third party applications in this world at all esp when ai has the ability to construct & deconstruct interfaces / experiences on demand.

[signüll @signulll]

apple finally improved the voice dictation models across iOS, macOS, etc.

this has a potential impact on all of the voice dictation companies launched.

[gabriel @gabriel1]

people thought agi is a blank textbox where we enter our intentions and get what we want

but ask your smartest friend to "clean up my inbox", you'll realize that for him to do it perfectly you'd need to write down 5 pages of instructions, and these instructions changes daily

[Elon Musk @elonmusk]

@AJamesMcCarthy Read books, talk to people & iterate rapidly with hardware & software

[simp 4 satoshi @iamgingertrash]

Markets follow predictable cycles because human behavior is predictable

We get allured (wave 1 rise)
We come to reality (correction 1)

We get conviction (wave 2 rise)
We take some profits (correction 2)

We get greedy (blowoff top)

3 predictable waves,
everytime

[Markus J. Buehler @ProfBuehlerMIT]

We've made a breakthrough in self-evolving AI scientists moving from "search" to "principled discovery": Scientific discovery requires that the search space itself changes, and an AI scientist must perceive this shift without intervention. We built an AI that achieves this for the first time with the ability to discover the scientific vocabulary it reasons in. Evidence, tools, artifacts, verifiers, failures & claims become typed provenance. We show three distinct modalities: 1) retrieval, adding known objects; 2) search, exploring a fixed schema; and critically: 3) discovery, a verified regime transition.

We solve the open-endedness evaluation problem by lifting agentic workflows into a typed copresheaf and proving, via a Kan obstruction, that true discovery is not unbounded generation but a verifiable schema expansion: old evidence is transported by Left Kan extension, and genuine novelty is mathematically quantified by the pointwise residual beyond the transported image - separating discovery from mere search and making novelty objective and measurable rather than a subjective judgment or benchmark delta.

Our AI scientist is built in a way that does not pre-conceive the approach it chooses; instead, we endow the system with formal power to adapt, evolve, and reason from first principles. Case studies include:
1⃣Builder/Breaker model that discovers mode-conditioned compliance in proteins;
2⃣CategoryScienceClaw that finds anisotropic fiber-network stiffness rules.

Great work in collaboration with my graduate student @fwang108_ @MITdeptofBE

F.Y. Wang & M.J. Buehler, Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence, arXiv:2606.01444, 2026

[prinz @deredleritt3r]

Dan Roberts (OpenAI):

"I can make a very long-distance prediction for the next 6 months.

I think we'll see more math and science breakthroughs, and obviously we'll turn this on AI itself, and the models will get a lot more powerful, and that'll be fun. You could do science of AI and have it feel like doing physics."

[Dr Rudolf Steiner @RudolfStein2026]

Anyone can be awake in silence; your real consciousness is what remains in chaos.

Can you remain conscious when someone insults you?
When desire arises?
When emotions pull you in ten different directions?

For Dr Steiner, spiritual development is not measured by mystical experiences, but by the degree of wakefulness you bring into ordinary life.

This is why he wrote:

"For every step in spiritual perception, three steps must be taken in moral development."

Meditation may awaken higher faculties, but daily life determines whether they become real.

His Six Basic Exercises exist for this exact reason:

- Hold a thought when the mind wants to wander.
- Perform a chosen action when habit wants to decide. - Stay balanced when circumstances provoke reaction.
- Seek the positive where others see only negativity.
- Remain open to truth instead of clinging to opinions. - Bring all of these forces into harmony

These are not escapes from life.
They are trainings for life.

In meditation, the soul withdraws from the noise of the world.
In daily existence, consciousness is bombarded by desires, emotions, pressures, distractions, and automatic thinking.

That is why daily life is the harder path;
and the more important one.

The highest stages of cognition: Imagination, Inspiration, and Intuition — cannot rest upon visions alone.
They require purified reactions, strengthened will, inner composure, and moral clarity.

All of these are forged in the arena of everyday existence.

The goal is not to leave the world behind.
The goal is to become awake within it.

Your real level is revealed by how you behave when life hits you, not when you’re calm.

[WIRED @WIRED]

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons under the microscope. https://t.co/NaPKCRprkW

[noob @deltaf0ur]

looks like visual reasoning is where the puck is going

[Anthropic @AnthropicAI]

The speedup isn’t just in volume. On open-ended coding problems where answers are unclear, Claude’s success rate is now 76%—a 50 point jump in just 6 months.

Many engineers also say Claude’s code quality is now on par with human code; we expect it to be better within the year.

[attentionmech @attentionmech]

attention is fundamental to experience and existence.

[Dwarkesh Patel @dwarkesh_sp]

Human beings whose emotional centres are damaged, even if their intelligence is still intact, have terrible decision-making skills.

Whatever role emotions are playing in humans, it's necessary for agency.

Ilya speculates that the equivalent for AIs is something to do with value functions - and that it might not emerge through pre-training alone.