🇺🇸 Senate has 15 days to pass the Crypto Clarity Act before leaving for summer recess.

Just like that...🪄✨

The mighty russian budg(i)et and air force will control the skies!!

(I bet he never thought it would turn out like this)

Mother is getting older.

Father is getting tired.

It’s now or never bro.

Gotta go all in this cycle for real

🇺🇸🇮🇷 America's Toughest Military Challenge Yet, How Could the U.S. Take Out Iran's Pickaxe Mountain?

Pickaxe Mountain is believed to be buried roughly 80–100 meters underground, with some assessments suggesting portions of the complex may extend even deeper beneath solid rock. That depth places it among the hardest military targets on Earth and potentially beyond the guaranteed destructive reach of a single GBU-57 Massive Ordnance Penetrator.

If Washington ever ordered a strike, the operation would likely resemble a campaign, not a single bombing mission.

Phase 1: Suppress Iranian air defenses and establish complete air superiority using stealth aircraft, electronic warfare, cruise missiles, and stand off precision strikes.

Phase 2: Launch repeated waves of GBU-57 bunker buster attacks against the same aim points. Each impact would attempt to fracture rock, collapse protective layers, and progressively increase the effectiveness of follow on strikes rather than relying on one decisive hit.

Phase 3: Continue precision attacks against tunnel portals, ventilation shafts, power infrastructure, logistics routes, and command systems to isolate the underground complex and prevent repair or access.

If intelligence indicated the facility remained operational, additional strike waves would likely follow until battle damage assessments determined the site was no longer capable of supporting its intended mission.

Bottom line: The greatest challenge is not simply dropping the largest bomb, it's defeating a facility specifically engineered to survive air attack. Any attempt would likely require a sustained, intelligence driven campaign rather than a single spectacular strike.

AI Distillation Double Standard: Moonshot, Anthropic, and the Mirror of Shared Knowledge

“I stole that data first”—Anthropic

Be very clear I want US AI to lead the world. But the closed source regulatory capture gameplay by Anthropic and OpenAI is a losing play. We all lose.

The White House has accused China’s Moonshot AI of large-scale, covert distillation of Anthropic’s Fable model to build its Kimi K3.

According to the statement from Director Michael Kratsios, Moonshot allegedly developed sophisticated internal platforms to switch access methods, evade detection, and extract capabilities at industrial scale while also routing advanced GPU access through third countries.

U.S. officials carefully distinguish this from routine, small-scale distillation that creates efficient smaller models, calling the former unacceptable IP appropriation that undermines incentives for original American research.

This controversy invites a clear-eyed analogy. View the accusations and any potential restrictions through the lens of how leading labs like Anthropic have themselves advanced by distilling and synthesizing knowledge from the broad AI ecosystem—including vast public datasets, research, code, and the emergent ideas and capabilities discussed around open source systems.

Distillation is not exotic; it is a core, powerful technique in modern AI where “student” models efficiently learn patterns and behaviors from stronger “teacher” outputs. Every frontier lab benefits from the cumulative nature of the field.

If the standard is to be hard on covert, large-scale extraction aimed at replicating proprietary frontier capabilities without fair contribution back to the original innovators, then that standard must apply—consistently.

Selective outrage risks looking like protectionism rather than principled defense of innovation.

The AI community has long thrived precisely because progress is cumulative: models build on public knowledge, open research, and each other’s breakthroughs.

Treating one instance as theft while excusing parallel practices elsewhere creates a hypocritical double standard that ultimately slows everyone down.

Prediction markets reflect the uncertainty. Polymarket currently prices the chance that the U.S. government will block public access to a major Chinese AI model in 2026 at just 24%.

True leadership in AI will come from rewarding genuine originality and transparent rules, not from pretending that knowledge only flows one way.

The field moves fastest when the incentives align with reality: distillation at reasonable scale is how efficient progress happens; industrial-scale covert siphoning of frontier secrets is where the real problem lies—wherever it occurs.

I HAVE A QUESTION:

If Anthropic Mythos was so good about security how did it not detect the supposedly “distilled” operation into Kimi K-3 while it took place and stop it?

Ask this seriously.

Everything will make sense soon.

“You’ve been trading memecoins for 3 years, you must be rich now.”

Me:

Sometimes shit happens for a reason homie. Don't stress just trust the process

Pressure reveals everything.

ChatGPT in 2050... searching for the guy who made it count to 1 million one by one

AI never forgets 😂

The manager of your company after realizing he hired two clueless guys who rely on Claude & ChatGPT to get things done

Be Kimi K3
> built by moonshot, a chinese lab backed by alibaba and tencent
> founder is yang zhilin, 34, did his phd at carnegie mellon in just 4 years
> worked at google and meta, then walked away from silicon valley to build back home
> named the company after his favorite pink floyd album, dark side of the moon
> his whole philosophy: if scale can solve it, don't invent a new trick

> deepseek blew up 18 months ago and basically buried them
> everyone writes them off and moves on
> they go dark and get to work
> come back with a 2.8 trillion parameter model
> biggest open model the world has ever seen
> and they built it with fewer chips than the us labs, because china can't even buy the good ones

february:
> anthropic accuses them of training on 3.4 million claude chats
> they don't say a word. just keep building

july 16:

> they drop k3 right before the big shanghai ai conference
> #1 in frontend code arena. it beats claude fable 5
> beats opus 4.8 and gpt 5.5 on coding and agents too
> open weights. runs 40% cheaper than the top us models
> and it scores within a few points of the exact models anthropic said they stole from
> three days in, so many people pile in they have to pause signups
> chinese rivals' stocks tank. us tech stocks wobble too

> now washington is panicking
> trump's people scrambling to ban chinese open models
> treasury threatens sanctions over "ip theft"
> too late
> once the weights are public, they're everywhere

china gave its best ai away for free and trump's people don't know how to stop it

Engineers choosing their career path in 2026

Google the second you sign in to your account on another device.

Many people feel threatened by superintelligence.

Good.

This will not happen again.

AI cannot be stopped.