Hypershares

Aumnium technology is building the brains and cores of fully autonomous systems, humanoid robots, drones, spacedrones, nanobot swarms and smart matter nodes.

[Hypershares @hypershares]

https://t.co/nwD7y0Abqb

[Hypershares @hypershares]

@MorningStar3868 Right now USDC/USDT are live on Ethereum mainnet(ERC20) specifically. Other EVM chains (Base, Polygon, etc.) and Tron/TRC-20 aren't supported yet — each needs its own rail adapter since address formats and signing differ even across EVM-compatible chains.

[Hypershares @hypershares]

Cross-platform, non-custodial payment engine for AI agents — BTC, ETH, USDT, USDC, XRP, XMR, ZEC

https://t.co/c4XpE5Zgmf

https://t.co/dvZKo3FIJ6

[Rohan Paul @rohanpaul_ai]

Cybersecurity “experts” would not like it.

Kimi K3 fixed 15 critical bugs after OpenAI Codex and Claude Fable 5 refused.

10 hours, one prompt, and $250

[Hypershares @hypershares]

Introducing Aumnium Agentic-Pay 🚀

A payment engine built for the next generation of AI agents and autonomous applications.

Key features:
• 🤖 Native support for AI agents
• 🔌 MCP Server for agent integrations
• 🌐 REST API

🌐 Learn more: https://t.co/PhixBtMj41

[Hypershares @hypershares]

@heyshrutimishra We are gonna destroy this mofo POS and his Anthropic soon. We will have 10 trillion+ parameters open source models running on a single ASIC chip soon. No more censorship, politically biased outputs and monopoly billing of expensive tokens. https://t.co/QJ2zpa9KQb

[Hypershares @hypershares]

@elonmusk Elon plz consider allocating substantial capital to our deeptech and fintech ventures: https://t.co/eIt9GAHaGl and https://t.co/QPQrxVDLc4

You won't regret it!

#deeptech #spacetech #fintech #frontiertechnology #frontierAI #frontiermodels #frontierscience #Medallionfund

[Hypershares @hypershares]

@WolfgangRichtEU you are talking like a crazy commie. Who gave you the right to confiscate 15% of Elon Musk's wealth? or even 1% of it???

[Hypershares @hypershares]

If your venture is in robotics, energy, autonomy, or deep tech and you want to be part of the Physical AI capital stack --we want to hear from you. Founder Co-Sponsor tier. Strictly limited. Sophisticated investors only.
→ https://t.co/Qk4wiFkpoc

#PhysicalAI #Robotics #DeepTech

[Hypershares @hypershares]

Medallion Fund dominates conventional quant finance. TREE3 is built to operate in the space above it — the unprojected lattice that stat arb cannot reach.
A 100-year horizon. 75–90% gross annual target. One coherent book across every asset.
🔗 https://t.co/QPQrxVDLc4

[Hypershares @hypershares]

A bootcamp for people building things the consensus hasn't learned to want yet.
Frontier AI · Synthetic Bio · Quantum · Neurotech · Propulsion. 14 weeks. India. By invitation only.
https://t.co/EFN3nOwpub

[Hypershares @hypershares]

#coalgasification #petro #govtbackedfunding #projectfunding #funding #projectfinance #eurobonds

[Hypershares @hypershares]

@itsolelehmann Female sex robots are coming out soon to cater the demand of a huge incel global market+fetish & fantasy

[Hypershares @hypershares]

#DefenseTech #AutonomousSystems #DroneSwarms #AI #Robotics #LAWS #SwarmIntelligence #MilitaryTechnology #EdgeAI #FutureWarfare #MadeInIndia #AumniumTechnology

[Elon Musk @elonmusk]

Full stack engineering

[Military Observer @TheMilObserverr]

DRDO just had one of its biggest weeks in history, And nobody is talking about it enough. 🇮🇳

In just the last few days India achieved all of this 👇

• Agni missile with MIRV and Hypersonic Glide Vehicle successfully tested on May 8
• Scramjet engine ran for 1200 seconds at full scale. Second such test ever in the world
• LR-AShM hypersonic glide missile cleared for trials. Range over 1500 km
• TARA glide weapon system successfully tested off Odisha coast
• Quantum Key Communication technology demonstrated for secure military comms

Each of these alone would be big news in any other country.

India did all five in the same week.

Missiles, Hypersonics, Quantum communications and Precision weapons.

DRDO is moving faster than most people realise. 🇮🇳🔥

[Hypershares @hypershares]

@solana
Roblox: 76% to the platform. Teleology: 70% to the creator. Same category. Opposite incentives. DM for the whitepaper. $TIMER #GameFi #Web3Gaming #TON

[Hypershares @hypershares]

https://t.co/OQUmbEral2

#predictionmarket #gamify #gamification #ai #fractal #universe #singularity #cryptocurrency #defi #solana

[Elon Musk @elonmusk]

Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI.

AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.

[Shanaka Anslem Perera ⚡ @shanaka86]

Nine billion miles of driving data just became a chip.

Tesla AI5 is finalized for production. The design files are at Samsung in Texas and TSMC in Arizona. The transistors are locked. There is no going back. Tape-out is the hardest gate in semiconductor engineering because everything before it is reversible and everything after it is silicon.

How this particular chip was designed is the most interesting part.

Nvidia builds general-purpose GPUs. They pack transistors into a full-reticle die, ship it with CUDA, and let customers figure out which operations matter. Blackwell B200 delivers 4.5 petaFLOPS at up to 1,000 watts. It runs any model for any customer. That generality is the moat and the tax. Every workload pays for circuits it never uses.

Tesla designed AI5 backward. They started with 9 billion miles of FSD inference data and asked one question: where does the neural network waste cycles? The answer was softmax computation and quantization precision loss. Two specific mathematical operations that consume disproportionate silicon area and power in every general-purpose GPU on Earth. Operations that Nvidia cannot optimize away because other customers need those transistors for different workloads.

Tesla hardened them. Burned custom quantization and softmax accelerator blocks directly into the die. Five times more efficient on those operations than any general-purpose equivalent. Then they added 10 times the raw compute and 9 times the memory capacity relative to AI4. The result: a single AI5 system-on-chip delivers roughly 5 times the useful compute of the current dual-chip AI4 configuration at an estimated 250 watts. Musk has framed a single AI5 as Nvidia Hopper class and dual AI5 as Blackwell class for Tesla workloads, at 3 to 5 times better power efficiency and roughly 10 times better performance per dollar.

This is not a chip designed to compete with Nvidia. This is a chip designed to run one thing: the learned differentiable physics engine that emerged from 9 billion miles of camera observation. Every transistor serves that engine. No wasted silicon. No generality tax. The neural network wrote its own hardware.

The chip goes to two foundries. Samsung in Taylor, Texas. TSMC in Arizona. Both American. Musk thanked both this morning and added: “It will be one of most produced AI chips ever.”

Samples arrive late 2026. Volume targets H2 2027. In the same post, Musk confirmed AI6, Dojo3, and “other exciting chips” are in active development. The 9-month cadence is real. AI6 targets tape-out by December. Dojo3 restarts on the unified architecture after Musk shut down Dojo2 last August as an “evolutionary dead end.” Intel joined Terafab eight days ago for advanced packaging. The $16.5 billion Samsung deal runs through 2033.

The chip that taped out this morning is not a product. It is the physical crystallization of 9 billion miles of learned physics into transistors optimized for the exact mathematical operations that physics requires. The software trained on the road. The silicon was designed from what the software learned. And the factory that will mass-produce it is being built in the same city where the cars that generated the training data roll off the line.

The loop is closed.