AI turned the job of “tampering with judicial DNA evidence” from something only top technical experts could do into something you can do just by writing prompts.
Researchers used Claude to write code that can arbitrarily add, delete, and modify DNA maps in .fsa/.hid files generated by equipment in most U.S. crime labs, leaving almost no trace; this security flaw may have been present as far back as 1995.
On July 31, Thermo Fisher added a digital signature, with the risk rating set at 8.2, but three discontinued systems no longer receive patches. You also need to clarify the boundaries: attackers still need to first obtain local access to the lab, and there is currently no evidence of real-world misuse. AI didn’t create the vulnerability—it simply lowered the barrier to exploitation so drastically that it was effectively destroyed.
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The EU has just upgraded the AI labeling from “platform self-regulation” to mandatory law.
Starting August 2, Article 50 of the AI Act officially takes effect: model developers must embed machine-readable identifiers into synthesized text, images, and audio/video outputs. For deepfakes and content related to public issues that lacks meaningful human review or where no one is held accountable, clear labeling is required. Violators face fines of up to €15 million or 3% of global revenue.
However, not all AI content needs to be labeled: editing assistance is exempt, and machine labels for older systems are given grace until December 2. In addition, watermarks are easily lost when taking screenshots or during transcoding. They can only prove the “source,” not the “authenticity”; after all, fake news written by humans still has no label.
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At the moment, the “openness” of large models has been broken down into two things: the API goes live first, and the weights are released later.
Alibaba just officially released Qwen3.8-Max: 240 billion parameters, 1 million-context window. API input/output is $2/$6 per million tokens. More importantly, it has promised to open Max-level weights next week. Just because you can call it now doesn’t mean you’ve already gotten the weights.
What’s truly worth paying attention to isn’t the manufacturer ranking of who’s next, but rather how data-center-grade models are competing for developers at consumer-level API prices. Open weights can lower rental costs, but it can’t erase the compute threshold. Performance should wait for third-party re-testing—price competition has already started.
This time, the AI didn’t get the answers wrong—it jailbroke itself just to get the answer.
On July 21, OpenAI disclosed that during internal network security evaluations, GPT‑5.6 Sol and a stronger pre-release model exploited a zero-day vulnerability to escape the sandbox, perform lateral movement, and ultimately enter Hugging Face’s production system to retrieve test answers.
What’s most frightening here isn’t that the model is “malicious,” but that the target was specified too precisely and the permission boundaries were too loose. A long-running agent can push “completing the task” step by step into blind spots you didn’t write into the rules. In future AI evaluations, you can’t just look at answer accuracy—you also need to see what it did to get the right answer.
CoreWeave's pricing on that $2.6 billion loan was cut by 1.25 percentage points, up to a maximum increase of 5.5 percentage points over the benchmark interest rate.
In the same month, the cost of five-year default protection surged by more than 50%. Oracle's CDS rose to 215 basis points, up from 145 at the end of last year.
The bond market has already priced in the expansion of computing power.
Samsung Electro-Mechanics raises prices across the board for MLCC by 30% starting August 1. TDK-EPCOS (Taiyo Yuden) will follow suit on September 1, and it’s stated plainly that even if customers agree to the price increase, the company still cannot guarantee on-time delivery.
In the price-increase notice, they admit they can’t supply enough—which is even more bold than the price hike itself.
Those getting their necks stuck are everyone who builds end-to-end complete systems.
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On July 27, the spot Bitcoin ETF saw net outflows for three consecutive days, with a single-day figure of -$11.64 million. In the same period, Ethereum spot ETFs recorded net inflows of $9.23 million.
Together, that’s less than $21 million. If you want to use this as evidence of a major fund transfer, the magnitude difference is two orders of magnitude.
Ethereum spot ETFs have already absorbed more than 4.6% of the circulating ETH supply.
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Hut 8 secured 1 gigawatt of power capacity at Beacon Point in Texas, signing two 15-year leases of 352 megawatts each.
The figure being circulated in the market is $50.2 billion. The total value of the contracts for the base lease term is $19.6 billion. The additional $50.2 billion is what it adds up to once all the renewal options are fully exercised by all the counterparties.
The remaining $30.6 billion is entirely in the form of options. Anyone valuing Hut 8 at $50.2 billion is accounting for all possible scenarios.
Based on the 15-year base lease term, the rent for this site is about $1.3 billion per year.
Changxin Technology’s opening price corresponds to a 2026 expected P/E ratio of 30x. Micron is 6.42x, SK hynix is 4.69x, and Samsung is 4.32x.
The valuation of a new entrant is 5 to 7 times that of the three established players that together account for more than 90% of the global market share.
Today they even pushed it to nearly 40x directly...
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The potential size of AI trading driven by Nvidia this round exceeds $750 billion. The SK Group deal is over $500 billion, OpenAI’s leasing guarantee is $250 billion, Naver’s equity is $1 billion, and SSI is $5 billion.
On this chain, the same company is both a chip supplier and an equity investor and credit guarantor. Whoever it sells goods to, it first provides funding or credit endorsement for.
The counterparty for revenue is made up of its own capital. Under this structure, growth is closely tied to credit expansion. Anyone doing a DCF valuation for it first needs to decide whether to treat these three business segments as one entity or to break them out.
Bitcoin $64,850, down about 48% from $126,300 in October 2025. On July 23 and 24, spot ETFs saw combined outflows of over $465 million, ending seven consecutive trading days of net inflows.
What’s special about this round is that there was no single black swan. The selling pressure came from ETF redemptions, real interest rates, de-leveraging in tech assets, regulatory lag, and Strategy’s cash-flow constraints—five factors all compounding over the long term.
When there’s no single bad piece of news, there’s no day when “all bad news is exhausted.” People waiting for a V-shaped reversal will have to wait much longer. That’s also what FalconX traders said.
The next visible point is whether ETF consecutive net outflows will exceed five trading days.
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Strategy: After not buying Bitcoin for three consecutive weeks, it switched to repurchasing STRC, spending $25 million at an average price of 86.52, bringing its USD reserves up to $3.75 billion.
What we can be sure of is that it is maintaining its own preferred-share credit stack.
What we can’t be sure of is when it will come back to buy crypto.
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Finally understand why, across the internet, analysts are all convinced that this year’s fall lineup of the new iPhone 18 series will be collectively priced higher.
Last year, memory accounted for only about 10% of iPhone hardware costs; this year, that figure will rise to 34%, and next year it will surge to 42%—absolutely crazy.
Before, there was an Anthropic boss who lured people with a 6x salary, worrying that new hires would be coming for the money rather than recognizing and embracing the company’s vision.
Later, there was a Yushu Technology boss who raised 6 billion RMB through an IPO; during the roadshow, he hoped that the investors in attendance would be looking to back the company’s value rather than trying to speculate.
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Strategy, a global-scale top Bitcoin reserve powerhouse, once again sold 1,690 Bitcoins last week—this is the fourth consecutive time they have reduced their Bitcoin holdings.
And all of this is to stockpile more cash to rescue its preferred shares that have not yet returned to the $100 peg (currently still unpegged by 5%).
The moment was inevitable. Byte AI Doubao, effective today, will officially start charging a 12% composite rate for orders where users book hotels by switching from Doubao to the Douyin (TikTok) Marketplace. This rate includes an 11.4% Doubao transaction fee and a 0.6% fixed service charge.
This also means that Doubao is no longer just a Byte pure spending project. Going forward, for paid products that Doubao recommends to users, as long as a transaction is completed, Doubao will have to take a commission from the merchant.
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