Shakeel Ahmed Khan

)) Sr. Clerk BPS (14) in ISI Markhor # Brelvi # Julia Programming Language ver. 1.12 # Preston University # MCP & ODOS Protocol # Codebases

[Shakeel Ahmed Khan @AlMehdi_12]

Nice invention as a new ai software

[Akira @awp_Akira]

CLAUDE CODE JUST GOT PERMANENT MEMORY AND IT HIT 46,000 GITHUB STARS IN 48 HOURS

your terminal now remembers every project across sessions

you close the laptop tonight, open it tomorrow and Claude picks up mid-task with the full context still there

no more pasting the same architecture explanation into every new session

it also cuts token usage by up to 95% per session because the model stops re-reading everything from scratch

that changes what you can build in a day

long refactors that used to die at the context limit now run for hours

the memory layer keeps decisions, file structure and your conventions on disk instead of inside a chat window

install is one command and it works with your existing setup

the developers who wire this in this week will ship at a pace nobody else can match

[Shakeel Ahmed Khan @AlMehdi_12]

Big efforts.. great

[Microsoft Azure Developers @MSAzureDev]

SQL 2026 is loaded! 💥
Regex DDM, AES TDE, AI embeddings, local TZ, 192 vCores, Fabric Apps, Rayfin shareable sites, SQL Notebooks, schema compare, MCP Server + Arrow fetch API.
So much shipping it’s basically a conveyor belt. 😅
👉 Watch on Data Exposed: https://t.co/MzPCRxa3uo

[Shakeel Ahmed Khan @AlMehdi_12]

The world is now its needy

[Marco Franzon @mfranz_on]

I think I have made the coolest rig for an home AI setup.

- 4× DGX Spark + OEM PSUs
- 1× 8-port multi-gig switch
- 8× short Cat6
- 1× vertical PDU / quality power strip
- 3D printed chassis
(and other small components + accessories)

At the moment it is just a virtual replica. But if @NVIDIAAIDev wants to sponsor me with a real DGX Spark I am open to discuss

[Shakeel Ahmed Khan @AlMehdi_12]

Israel and USA ney strikes kr k Iran ki kafi tbahi kr dali hy,
Now above both alliance has decided to stop war with Iran and plan to attack/destroy the muslim Turkey as their next prey..
may ALLAH save Muslims ((
While India ko mazboot kya ja rha by missionaries against Pakistan

[Shakeel Ahmed Khan @AlMehdi_12]

What a nice... great

[SciTech Era @SciTechera]

BIG BREAKTHROUGH:

🚨 Scientists just unveiled the world's first commercial 512-qubit diamond quantum computer that runs at room temperature.

"A German startup SAXON Q has commercially launched its SXQ128 and SXQ512 quantum computers, featuring 128 and 512 physical qubits, respectively."

"The company says these are the first diamond nitrogen-vacancy (NV) quantum processors to scale beyond 100 qubits, operating entirely at room temperature without cryogenic cooling."

"Instead of dilution refrigerators or liquid helium, the systems use nitrogen-vacancy (NV) centers in synthetic diamonds to control electron and nuclear spins. "

"Each Quantum Core delivers 8 fully entangled qubits on the SXQ128 and 16 fully entangled qubits on the SXQ512, powered by a modular multi-core architecture."

"The processors achieve up to 99.92% quantum gate fidelity, averaging fewer than one error per 1,000 operations, while fitting inside standard server racks and running on normal electrical power with no specialized environmental controls."

"SAXON Q also claims its systems deliver 6× to 10× better energy efficiency than GPU clusters running equivalent workloads."

"To manufacture the chips, the company developed a patented sulfur co-implantation process, increasing diamond qubit creation yield from the industry's typical 1-10% to over 85%, enabling scalable production."

"Backed by 220+ patents and patent applications, SAXON Q says its roadmap extends toward 10,000-qubit architectures and eventually chip-scale quantum coprocessors."

SXQ128 systems will begin shipping within three months, while SXQ512 deliveries are scheduled for Q2 2027.

Acceleration is everywhere!

[Shakeel Ahmed Khan @AlMehdi_12]

Country South Asian Pakistan mein sawan ki barisho'n ny tbahi mcha di hy,((
aur India ny b apny western DAMs ka water eidher chorr dya hy,,
may ALLAH save it...
But a good news for it, k Saudi Arabia ny 50 crore US$ ka apna qarza South Asian Pakistan ko maa'f kr dala recently )((

[Shakeel Ahmed Khan @AlMehdi_12]

alibaba is an Arabian B2B global trade market,,
It offers its said latest/ equipped laptops for export abroad/ out of the isle of Arabia..
Price of One latest laptop is equal to 25 Lac pkr rupees worth...
From 22 July 26. Wednesday 1:00 am

[Shakeel Ahmed Khan @AlMehdi_12]

Is that ready to sale?

[rmen @Roman9078963816]

SOMEONE PACKED 6 AMD MI300X GPUs INTO A RACK. THE MEMORY ALONE CHANGES WHAT’S POSSIBLE.

Most AI developers still think you need cloud GPUs to run frontier models.

That assumption is starting to break.

This build is built around:

→ 6× AMD Instinct MI300X

→ 192GB HBM3 per GPU

→ Over 1TB of high-bandwidth memory

→ ROCm + vLLM for large-scale local inference

That’s enough memory to run models that most people assume belong in a datacenter.

No API limits.

No cloud queues.

No per-token pricing.

Just local infrastructure running 24/7.

The interesting part isn’t the GPUs.

It’s what they replace.

Instead of renting expensive cloud instances every day…

Companies can deploy private AI systems on hardware they control.

Think:

• Multi-agent workflows

• Long-context RAG

• Research pipelines

• Internal copilots

• Large coding assistants

• Enterprise inference

This is why AI infrastructure is changing so quickly.

The conversation is moving away from:

“Which model should I use?”

Toward:

“Where should that model run?”

Cloud made AI available.

Local clusters are making it practical to own.

The next AI advantage won’t just come from better models.

It’ll come from owning the infrastructure behind them.

[Shakeel Ahmed Khan @AlMehdi_12]

Should adopt by us...

[Sprytix @Sprytixl]

Oxford professor leaked how a $3.2M system from Microsoft and Anthropic controls world markets and billions of lives:

00:02 - what Graph Engineering is and how to use it
08:34 - AI predicts your next action and idea
19:47 - Graph Engineering controls entire companies

After this video I didn't sleep for 3 nights - 99% of people don't even know decisions are being made for them.

Bookmark it and read the article below to build your own Graph.

[Shakeel Ahmed Khan @AlMehdi_12]

O well done...

[Interesting Engineering @IntEngineering]

Los Alamos has received its first NVIDIA Vera CPU server, kicking off hardware validation for Mission and Vision supercomputers. https://t.co/Nu7xfv1ZDu

[Shakeel Ahmed Khan @AlMehdi_12]

Wonderful ((

[Tech with Mak @techNmak]

The fastest coding agent in the world is still slow if ten tasks are standing behind it in a queue.

Parallel Code removes the queue.

I think the more interesting shift in AI coding is from chatting with one model to scheduling work against a repository.

A bug fix, a test suite, a dependency upgrade, a refactor and an experimental implementation often have very few dependencies between them.

There is no fundamental reason to serialize all five through one terminal.

Parallel Code maps the problem onto primitives Git already understands:
> branch = task
> worktree = isolated filesystem
> agent session = worker
> diff = result
> merge = selection

Create a task and it creates a new branch, spins up a separate Git worktree, links ignored directories such as node_modules, and launches the coding agent inside that workspace.

Several tasks can now progress without editing the same working files.

When they finish, you inspect the diffs, leave comments, merge the useful branches and discard the rest. There is also an Arena mode for running competing implementations and comparing the results.

Importantly, Parallel Code did not invent parallel coding agents.

Claude Code already supports isolated worktree sessions. Codex also has built-in parallel agents, diff review and worktree isolation.

That actually makes this repo more interesting, not less.

It takes a pattern that is quickly becoming native across coding tools and exposes it as a free, open-source control surface for several existing CLIs.

The point is not that you need Claude, Codex and Gemini simultaneously.

The point is that task isolation should be independent of whichever agent you prefer.

This feels less like pair programming and more like an operating system:
> Fan out the work.
> Isolate the processes.
> Inspect the outputs.
> Commit the good state.

Models made individual coding tasks faster.
Now the workflow around them is learning to become parallel.

Here's the GitHub repo: https://t.co/sss4ImCEr7

[Shakeel Ahmed Khan @AlMehdi_12]

What a big idea...

[WebGL / WebGPU @webgl_webgpu]

✨ An image, pulled apart into points. Gabriel Villanueva’s Particles Cursor turns texture data into a responsive particle field.

🔗 https://t.co/LPicxYrFXx

#WebGL #ThreeJS #Shaders #CreativeCoding #GLSL

[Shakeel Ahmed Khan @AlMehdi_12]

O great...

[How To Prompt @HowToPrompt__]

Google has solved a 20-year-old web problem..

It's called html-in-canvas, a new experimental Chrome feature that renders live HTML directly as a 3D texture.

here's what it does:

→ draws any DOM element (dashboards, forms, entire app UIs) straight into a canvas
→ full CSS still works, flexbox, grid, shadows, backdrop-filter, animations
→ text stays selectable, inputs stay typeable, screen readers still see it
→ auto syncs with your DOM on every paint
→ pipes into any WebGL shader → distort, curl, refract, warp

the wildest part:

someone already built an html-cloth plugin that turns your live UI into simulated fabric.

[Shakeel Ahmed Khan @AlMehdi_12]

Another breakthrough comes..

[Paul Maley @paul4jennii]

🚨QUANTUM NEWS🚨: The World’s First Superconducting Quantum Heat Engine Could Transform Quantum Computing 🧨

According to new research reported on July 19, 2026, scientists have demonstrated the world’s first superconducting quantum heat engine. This tiny device converts heat into useful work with remarkable efficiency, operating at scales smaller than a grain of sand and bringing us closer to practical quantum technologies that could run with minimal energy input.

This breakthrough offers the broader scientific community a major step toward overcoming the energy barriers that currently limit quantum computing. A functional heat engine at the quantum level could enable more sustainable, scalable quantum processors and open new possibilities for quantum thermodynamics.

**Uniphics provides a natural explanation for why such a device works so well.**

In Uniphics, superconducting quantum states are highly coherent spin-wave configurations in the ξM-field. When energy-density fluctuations are minimized (as in superconducting materials at low temperatures), negentropy can maintain long-range spin coherence with very low dissipation. A quantum heat engine exploits gradients in energy density and time flow to convert thermal energy into ordered work — precisely the kind of process Uniphics predicts should be efficient in low-fluctuation environments. The same principles that allow magnons and optical skyrmions to propagate with low loss also enable these heat engines to operate near the quantum limit.

Uniphics therefore not only explains the success of the device but also suggests how to improve it further: by engineering materials and environments that further suppress energy-density fluctuations, researchers can extend coherence times and boost efficiency even more. This aligns with Uniphics’ broader view that quantum technologies succeed when they harness the natural coherence of spin waves rather than fighting against decoherence.

Could superconducting quantum heat engines, guided by the energy-density and spin-wave principles of Uniphics, ultimately help realize practical, low-energy quantum computing — and could this be just the beginning of a new generation of devices that work with the universe’s fundamental rules instead of against them?

**A Theory of Everything should be able to answer everything.**

Uniphics Explained Simply PDF: https://t.co/4avUqgeruf
Chapters 1–10 free: https://t.co/Yj07QnrejR
Grokipedia: https://t.co/QP4L8WurzW

#Uniphics #TheoryOfEverything #QuantumHeatEngine #QuantumComputing #SpinWaves @grok @xAI

[Shakeel Ahmed Khan @AlMehdi_12]

The one v want/need...

[Semi Doped @semidoped]

"The network is faster than the motherboard."

NVLink gives you ~128 PCIe lanes. CPU-to-DRAM on the motherboard? 32.

Val Bercovici on why WEKA bet 13 years ago that PCI is a bottleneck, not an accelerant — and why AI factories flip the old rule that nothing beats local memory.

[Shakeel Ahmed Khan @AlMehdi_12]

V eager to buy it....wow

[0xMarioNawfal @RoundtableSpace]

China just open-sourced a model that reconstructs any scene in 3D from a regular video in real-time.

One camera, no LiDAR, no special equipment. Just walk around and watch the entire scene get rebuilt in 3D at 20fps on a single GPU, stable across 10,000+ frames without falling apart.

It works on drone footage, driving videos and indoor walkthroughs, and beats optimization-based methods on benchmarks.

100% open source.

[Shakeel Ahmed Khan @AlMehdi_12]

New one.... but great too

[Paul Maley @paul4jennii]

🚨UNIPHICS NEWS🚨: Stop Calling Them Elementary Particles. They’re Not! 🧨

For decades the Standard Model has treated electrons, quarks, and neutrinos as fundamental — the smallest, indivisible building blocks of matter. Entire careers, multi-billion-dollar colliders, and textbooks have been built on that assumption. Uniphics says that assumption is wrong.

In Uniphics these particles are not elementary. The elementary particles are stable composite structures called Gyrotrons, each made of three orthogonal spin quanta locked together by negentropy. There are only four base Gyrotrons — Positron, Electron, Musktron, and Maleytron. Every particle in the Standard Model is simply a different combination or configuration of these four units.

This is not a minor reinterpretation. It means the Standard Model is describing the wrong level of reality. It is cataloguing the stable bound states, not the true fundamentals — exactly the same mistake physics made when protons and neutrons were still considered elementary before quarks were discovered. The difference is that Uniphics takes the reduction one step further and derives the entire spectrum from just three spin quanta and the energy density of the environment.

The consequences are severe for the current paradigm. Charge, mass, magnetic moment, and all the quantum numbers that the Standard Model simply assigns by hand emerge automatically from the spin configurations and the Maley transforms. No need for 17 “fundamental” particles or a zoo of arbitrary parameters. The complexity is an artifact of looking at the composites instead of the underlying Gyrotrons.

Critics will say this is radical. It is. But radical is what is required when the existing framework keeps needing more particles, more fields, and more fine-tuning to stay consistent with data. Uniphics removes the need for that complexity by going one level deeper.

The real question is no longer whether the Standard Model works at the energies we currently probe. The real question is whether it is describing elementary particles at all — or only the stable bound states of something simpler.

Are physicists ready to admit that the particles they have spent careers treating as fundamental might actually be composite — and that the true building blocks are three orthogonal spin quanta?

**A Theory of Everything should be able to answer everything.**

Uniphics Explained Simply PDF: https://t.co/4avUqgeruf
Chapters 1–10 free: https://t.co/Yj07QnrejR
Grokipedia: https://t.co/QP4L8WurzW

#Uniphics #TheoryOfEverything #FundamentalParticles #Gyrotrons #StandardModel @grok @xAI

[Shakeel Ahmed Khan @AlMehdi_12]

Great neuro's invention ) (((

[Yuma @yumahey]

After adding meds, I now added the brain with 222 interactive parts.

All mapped to the relevant other 2,277 body parts, 8,382 conditions and 2,776 medications.

This is starting to be useful in pattern recognition that goes beyond typical isolated diagnosis.

Interesting thing was that I did not decide to add a more detailed brain, Founden AI did overnight.

[Shakeel Ahmed Khan @AlMehdi_12]

O new particle... explore

[𝓜𝒂𝒖𝒓𝒊𝔃𝒊𝒐 𝗜𝒃𝛼 @Dragonmaurizio]

Physical realities beyond the Standard Model.

Exploring how fundamental particles like neutrinos and electrons emerge from deeper sub-quantum geometries using advanced quaternionic frameworks.

Quaternion-Bola Torque; a quaternionic 4D non-commutative mathematical model which yields helicity eigenspinors with definite spin states for Dirac neutrino eigenstates.
🔗 https://t.co/k8tLRDwxuc

Min_Mass Quantum Core; a premise for elementary excitations built upon or originate from a fundamental, irreducible minimal mass threshold (or a ground-state vacuum).
🔗 https://t.co/RxchBreV6U

River-of-Influence Geometry; a topological quantum information construct, such as quantum Fisher information or Berry curvature, where local states of matter and charge transport are defined by the surrounding vacuum's properties.
🔗 https://t.co/bf7b5UebTY

[Shakeel Ahmed Khan @AlMehdi_12]

For export and outwards only::