Nightflavour

[Nightflavour @Nightflavour]

@ChristianJ73311 @staytfwoke @welt Keine Ahnung, hab keine und mich damit nie beschäftig.. Sollte dies so sein. Dann sollte man mal den ganz Kids die Dinger entziehen die unter 16 damit fahren.. Die fabrzieren gefühlt mehr unfälle wie Radfahrer..

[Nightflavour @Nightflavour]

@staytfwoke @welt Ab 16 würde auch reichen. Aber mit Führerschein, wie bei einem Mofa..

[Nightflavour @Nightflavour]

@MelvinMelv01 @KryptoWolfGER In der USA?

[The Wolf of Defi ⚡️ @thewolfofdefi]

Great to see $QTC back at $1 🔥

Quantum computing is the most obvious untapped narrative, and @qubitcoinx is positioned to be the unicorn here.

Study the founders and advisors. It tells you all you need to know.

Amazing chart. See you at all-time highs!

[Qubitcoin @qubitcoinx]

Mikhail and Yudong recently had a great discussion with Fred Chong, one of the world’s leading voices in quantum computer architecture.

Quantum computing is still largely a field shaped by physicists, which makes Fred’s perspective especially valuable, coming from computer architecture and supercomputing.

They drilled into the challenges of building the full stack required for fault-tolerant quantum computing: compilers, error correction, verification, scheduling, and hardware/software co-design, and debated where NISQ-era approaches may still provide value, particularly for optimization problems with limited datasets such as biomarker discovery and cancer treatment prediction.

For the Qubitcoin community, this direction is highly aligned with what we have been building:

In addition to our VQA-based component already being part of qPoW, for the last few months, we have been heavily focused on integrating tasks directly relevant to fault-tolerant quantum algorithms and the future quantum software stack.

The long-term goal is not just to make a quantum-aware blockchain, but to help create computational infrastructure naturally connected to the emerging fault-tolerant quantum ecosystem.

[Nightflavour @Nightflavour]

@Buschi626831 @yarvin_stoltz @Lars_Invest Typischer ARD/ZDF Konsument... Als ob Putin die Nato Staaten angreifen würde.. Wie verblendet kann man eigentlich sein...

[𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢 @DreadBong0]

A few more points here..

⚫️ Templar founder extracted 37,000 $TAO worth of alpha tokens from his 3 subnets..

So it is only logical those 37k $TAO will be dumped on the market for max extraction

Also the possibility shorting was in place before the announcement was made/alpha was dumped

⚫️ To everyone who invested in any of those 3 subnets

When you invest in a subnet.. even though you are backing a team, you are effectively investing in the subnet slot itself

Subnet 3 will persist.. Templar will not

Which means alpha holders on subnet 3 still have their tokens.. and if a new team comes along with a killer idea and revives the slot (As is being planned, led by @const_reborn) then token holders of SN3 will also see price recovery

⚫️ Sam claims @const_reborn tried to "ruin him" by selling 200t on his own alpha

Const buys and sells alpha tokens all the time.. his subnet was no different but you don't see all the other subnet owners nuking their subnets into the ground

He also helped Sam build Templar and donated startup funds..

"Const did everything for Sam. He built the first versions of both grail and Templar for him and then gave him those subnets. He found developers for him to work on the subnets. He donated him $Tao and gave him startup funds and the owner key for free to Templar. He supported him the whole way. I remember Const gave Sam a 2000 Tao bonus for Christmas one year. Then the one time Sam doesn’t like something that happens (Const sell like 5% of his tokens) he crashes out, rugs all his investors, spreads fake news across socials, acts incredibly immature by leaving all groups, and you say this is Const’s fault??? What an insane interpretation of events. This is nobody’s fault except Sam."

⚫️ Templar news and achievements had reached the very top of the AI industry.. large influential figures were praising the subnets success

For this to happen now.. it will for sure have some deep knock on effects that will take some time to recover

⚫️ Changes will be made on #Bittensor to mitigate this happening in the future..

"The outcome of this eventful evening is that #Bittensor will invent lock-based subnet ownership -- specifically: ownership of a subnet determined by a team's long term economic commitment to the project." @const_reborn

⚫️ Lastly.. #Bittensor is a large, permissionless network that is growing fast every single day

There's always going to be bumps in the road along the way.. but its how the network and its participants respond in such tough times

Things will recover and this will barely register on the overall journey of #bittensor

$TAO

[const @const_reborn]

Btw i should address some of the points in the article which AI slop influencers are now repeating.

> I suspended emissions to his subnets

I do not have the ability to suspend emissions. What i did do is sell some of my alpha holdings on his three subnets, because they were not running, and were on near 100% burn code. This changed the emission the same way all buys and sells on Bittensor do. I don’t have any privilege beyond what normal TAO holders have.

> I deprecated Covenant’s channels and removed moderation rights

No, Samuel specifically deprecated his own channels which he did via a pinned comment and also a Twitter post. To be clear, he is talking about a discord channel.

> I removed his ability to moderate his community

Sam was deleting posts in his channel of genuine, honest criticism. I removed that ability temporarily and then reinstated it later. I did not remove his moderator role. I simply stopped him from deleting posts from others in his channels.

> “deprecating infrastructure”
Not even sure what this one means.

> large visible token sales
Not large. Less than 1% of what i had invested in his teams. Visibility is impossible to avoid in my position. I reserve my right to buy and sell tokens which is what underpins the entire system of dTao.

Anything else?

[Nightflavour @Nightflavour]

@Bitcoin_Dani Es hat hier nicht nur die Com. verloren auch der Founder @const_reborn der über 2000 TAO inkl. Sonstigen Geldern und Hilfe in das SN gesteckt hat... Du musst schon ein bisschen Tiefer Recherchieren bevor du dich hin stellst und sagst ja die TAO Maxis schützen nur ihre Bags..

[Qubitcoin @qubitcoinx]

We recently spoke with @CraigGidney, a leading expert in quantum algorithms at @GoogleQuantumAI.

With Google calling for post-quantum cryptography by 2029, quantum progress is advancing faster than expected. Craig made several recent estimates on a quantum computer breaking RSA-2048 could take 1M noisy qubits and 1 week.

Our takeaway from speaking with Craig: the bottleneck isn’t qubits, it’s arithmetic. Modular multiplication is costly due to heavy T-gate use. He is primarily focused on making algorithms practical via magic-state distillation and scalable factories.

A pleasure speaking with Craig, humble and a one-of-a-kind expert pushing quantum algorithms forward.

Our Tech team is adjusting Qubitcoin to the needs of making quantum algorithms practical.

[Nightflavour @Nightflavour]

@KTana96376 @Floridawaldo1 @welt Haste auch noch was anderes in petto wie deine unseriösen Quellen und Freie Journalisten die nichts zum vorweisen haben? 😂 Nicht mal die Russischen Nachrichten oder ähnliches Posten sowas 😂

[Nightflavour @Nightflavour]

@KTana96376 @Floridawaldo1 @welt Auszug aus ChatGPT Kurz gesagt:
Es kursieren Behauptungen aus parteiischen Quellen, aber keine verlässlichen internationalen Nachrichtenagenturen oder offiziellen Militär-Statements bestätigen einen iranischen Raketenangriff auf eine Fabrik in Neot Hovav.

[Nightflavour @Nightflavour]

@Phil_Bull_ @MissCryptoGER Jo, sind halt die Krypto Influenzer die Ihre News nur über X sich holen, weil es Coingecko und Co. Schreiben, sich selber kein Stück mit den Projekten außeinander setzten.. Aber vor 3 Monaten noch ein TAO Video gemacht xD

[Quasar @QuasarModels]

This is Quasar Attention, the mechanism behind the upcoming Quasar models, designed to support context lengths of up to 5 million tokens.

Attention has long been a bottleneck for processing extended context. Standard attention mechanisms struggle to scale beyond ~200k tokens in training, creating a ceiling on how much information models can reliably use.

One approach to solving this has been linear attention methods, such as gated delta attention (used in Qwen 3.5) or Kimi delta attention. These improve efficiency and allow longer sequences, but introduce trade-offs: instability at extreme lengths, quality degradation, and in practice, they are not strictly linear.

Quasar Attention takes a different approach. It uses a continuous-time formulation, implemented as a fully matrix-based system rather than relying on vector-state approximations. In practice, this improves stability, reduces cost, and maintains performance as sequence length increases.

In internal stress tests at 50 million tokens, KDA-based approaches begin to lose stability, while Quasar Attention remains stable. This allows performance to hold as sequence length increases, rather than degrading beyond a fixed threshold.

On BABILong, a Quasar-based model pretrained on 20B tokens and fine-tuned on 16k sequences was evaluated on contexts ranging from 1 million to 10 million tokens, maintaining consistent performance across that range. By contrast, models using gated delta attention show significant degradation at longer lengths, in some cases dropping to ~10% performance at 10 million tokens. (Note: results are indicative; setups are not directly comparable)

On RULER benchmarks, a Quasar-10B model (built on Qwen 3.5 with frozen base weights and Quasar Attention added), pretrained on 200B tokens, achieved 87% at 1 million tokens, outperforming significantly larger baselines, including Qwen3 80B, under the same evaluation conditions.

Taken together, this points to a shift in where long-context performance is won or lost: not in model size alone, but in the attention mechanism itself.

Quasar Attention represents a step change in long-context modelling, setting a new standard for stability and performance at scale.

We thank @TargonCompute for the compute and for being our compute provider and long-term partner in training the upcoming Quasar models

Here is the link to our paper 👇

[Nightflavour @Nightflavour]

@Ripple_Naut @KryptoWolfGER Ist immer leicht anderen die Schuld zu geben, für sein eignes versagen... Es nennt sich Dyor und wer das im Kryptosektor nicht kann und nur auf Influencer hört ist selber schuld..

[Qubitcoin @qubitcoinx]

Honored to see Superquantum featured in MIT’s The Tech following iQuHACK 2026.

Full article in the comments below 👇

[Nightflavour @Nightflavour]

@BostonCream no

[cryptobarba @Cryptobarba_]

There’s just no way @qubitcoinx will stay this long in these ranges.

A narrative like quantum bitcoin will be in all topics and forums soon.

Congrats to the team for presenting a quantum computing challenge for hackers to solve in 24 hours along giants @IonQ_Inc , @nvidia and @QueraComputing.

https://t.co/jTNIvivTCY

[Qubitcoin @qubitcoinx]

This year, Superquantum made its first appearance at iQuHACK. Along with @QueraComputing, @IonQ_Inc, @nvidia and other companies we presented a quantum computing challenge for hackers to solve in 24 hours. Their goal was to step into the role of quantum compilation researchers and minimize fault-tolerant cost (the number of T-gates) for future quantum hardware using various techniques and tools, including Superquantum’s own rmsynth (https://t.co/dDS3jcvnbS).

Congratulations to Nathan Andrew Jones, John Stephen Layton, Valentine Patrick Mohaugen, Landon Holcomb, Chowdhury Abrar Faiyaz and Ashton Bennett McEntarffer for winning our challenge and demonstrating amazing performance and research skills.

It was incredibly exciting to spend the weekend at MIT, and we look forward to being back next year.

[Nightflavour @Nightflavour]

@yarvin_stoltz Jetzt muss ich mal einmal wieder sprechen, die Aussagen sind falsch und Fake News :)