sexta-feira, 31 de julho de 2026
The current panic among Silicon Valley tech executives stems from the mid-July 2026 launch of Moonshot AI's Kimi K3 model, a Chinese breakthrough that has effectively erased the exclusive lead long held by American companies like OpenAI and Anthropic.
Tech
Oligarchs MELTDOWN After China ERASES AI Edge
The current
panic among Silicon Valley tech executives stems from the mid-July 2026 launch
of Moonshot AI's Kimi K3 model, a Chinese breakthrough that has
effectively erased the exclusive lead long held by American companies like
OpenAI and Anthropic.
🤯 The Root of the Meltdown
The release
of Kimi K3 has shocked the tech industry due to unexpected performance
milestones:
- Frontier Performance: Kimi K3 is performing at
parity with leading closed-source American models, upending assumptions
that export bans on high-end hardware would stall Chinese progress.
- Disappearing Moats: Venture capitalists like David
Sacks have openly warned that the U.S. risks permanently losing its AI
dominance.
- The ROI Crisis: Big Tech has spent tens of
billions on hardware, but the rapid closing of the gap by Chinese labs
threatens the pricing power and future IPO valuations of closed-source
U.S. startups.
⚖️ The Geopolitical Backlash
The sudden
erosion of the American edge has triggered an immediate response from
Washington:
- Sanctions Threats: U.S. Treasury Secretary Scott
Bessent warned that Chinese AI firms face looming sanctions if
investigations reveal they extracted or "stolen" proprietary
data from U.S. frontier models to train their own systems.
- Policy Escalation: Trump administration officials
are actively moving to block American developers and users from accessing
any open-weight or closed-source Chinese AI models over national security
concerns.
Silicon Valley Splits Over Closing the Borders to Chinese A.I.
Silicon
Valley Splits Over Closing the Borders to Chinese A.I.
Anthropic
and OpenAI are clashing with the rest of the tech industry over whether
“open-source” models from China should be freely available or restricted.
Mike
Isaac Kate
Conger Ana
Swanson Meaghan
Tobin
By Mike
IsaacKate CongerAna Swanson and Meaghan Tobin
Mike
Isaac and Kate Conger reported from San Francisco, Ana Swanson from Washington
and Meaghan Tobin from New York.
https://www.nytimes.com/2026/07/25/technology/open-source-silicon-valley-china.html
July 25,
2026
For
years, a philosophical divide over how artificial intelligence software should
be created has split Silicon Valley technologists.
This
week, that argument reached a boiling point.
On one
side are leading A.I. companies like Anthropic and OpenAI, which claim that
some A.I. models are too dangerous to be developed in the open and must be
tightly controlled — by businesses like themselves — for safety. On the other
is the rest of the tech industry, including giants like Microsoft and Nvidia,
which contend that so-called open-source A.I. models must remain open for
people to further develop technologies and build new businesses.
Those
camps have started publicly clashing. On Friday, Jensen Huang, Nvidia’s chief
executive, said in his first-ever post to X that “the world needs both frontier
closed models and frontier open models.” Nine minutes later, Satya Nadella,
Microsoft’s chief executive, posted that open-source software was “essential to
a healthy A.I. ecosystem.” Both signed a letter supporting open source, which
was also signed by executives at Meta, Palantir and IBM.
At the
same time, OpenAI and Anthropic have lobbied regulators in Washington raising
concerns about Chinese open-source A.I. models, five people close to the
discussions said. The debate has drawn in Treasury Secretary Scott Bessent and
Michael Kratsios, President Trump’s science and technology adviser, who have
weighed in on how American A.I. models are valuable intellectual property.
The
escalating fight stems from China’s rapid progress in open-source A.I. models,
which are freely available to use and build on. In recent weeks, two Chinese
A.I. start-ups, Z.ai and Moonshot AI, have released models that rival those
from Anthropic and other American labs. Anthropic and OpenAI have claimed that
Chinese companies built the models by improperly harvesting data from their
A.I. systems, which they said should not be allowed.
But
companies like Microsoft and Nvidia, which rely on open-source models to spur
demand for their cloud computing services and chips, said that open-source
software was important to advancing the technology with shared knowledge and
that it would let more people examine its security. And for Silicon Valley
start-up founders, constraining open-source software could cement the lead that
OpenAI and Anthropic have in A.I., which critics argue could unfairly stifle
other companies from building competing products.
“You have
two factions fighting over this issue,” said Bill Gurley, a Silicon Valley
venture capitalist who opposes restrictions on open-source software. “There’s
the people who want OpenAI and Anthropic to own everything, and then there’s
everybody else, including customers.”
Where
this ends up has major implications not only for the U.S. tech industry but for
the race between America and China to dominate the powerful technology. While
China had a later start in developing cutting-edge A.I., it is catching up
quickly in part because of its embrace of open source, which has helped Chinese
labs improve by publicly sharing their systems and winning them customers
around the world with lower prices.
American
A.I. companies, including Anthropic and OpenAI, have accused Chinese labs of
“distilling” their systems by surreptitiously copying them, which has caught
the attention of the Trump administration.
On
Wednesday, Mr. Bessent said the administration had considered imposing
sanctions on Chinese companies that steal intellectual property from American
firms. “Open source is not open season on American IP,” he said, referring to
intellectual property.
That same
day, Mr. Kratsios said that “large-scale, covert industrial distillation aimed
at stealing proprietary U.S. technology and undermining American research is
unacceptable.”
U.S.
officials still appear to be debating their options, but seem more likely to
approach regulating Chinese open-source models individually as a national
security issue, rather than issuing some kind of blanket ban, four people with
knowledge of the discussions said.
Publicly,
tech executives like Sam Altman, OpenAI’s chief executive, have said they
support open-source software even as OpenAI allies quietly lobby for
restrictions. Others, like Google and Amazon, which have invested billions in
companies such as Anthropic and OpenAI, have spent the past week trying to stay
out of the fray.
But the
tide is turning. Sundar Pichai, Google’s chief executive, posted on social
media on Saturday that his company had “long benefited from open source” and
was a big contributor to it. He added that Google also signed the industry
letter supporting open source.
(The New
York Times has sued OpenAI and Microsoft, claiming copyright infringement of
news articles. The two companies have denied the claims.)
The
open-versus-closed software debate has traveled around Silicon Valley since the
tech industry’s earliest days. Open-source proponents have argued that sharing
information leads to improvements that make software safer and more reliable,
while more rapidly spurring innovation. Opponents maintain that software is
costly to develop, and that giving it away is just bad business.
Today,
much of the modern internet runs on open-source technologies, as do some of the
most widely used computer systems, like Google’s Android operating system.
The
Chinese government and tech industry have embraced the open-source path for
A.I. Last year, a Chinese start-up, DeepSeek, unveiled an open-source A.I.
system that rivaled those of American companies, shocking the industry. Other
Chinese companies have followed. In a speech this month, Xi Jinping, China’s
leader, cast the country as a global champion of an open approach to the
technology.
China’s
advances have rattled executives at OpenAI and Anthropic, who are increasingly
concerned that their longstanding head start is disappearing, two people
familiar with the companies’ internal deliberations said.
“These
American companies build these big, expensive models, and then the models take
a detour to China, where they lose all their value,” said Pedro Domingos, a
professor emeritus of computer science and engineering at the University of
Washington. “The American companies are justifiably outraged.”
To fight
back, Anthropic and OpenAI are offering some cheaper A.I. models to businesses
that may not need the “frontier” models that command higher prices. On Friday,
Anthropic released Claude Opus 5, a model that he company described as “close
to the frontier intelligence of Fable 5 at half the price.” OpenAI is promoting
similar lower-cost models.
The real
action is in Washington. Behind closed doors, executives from OpenAI and
Anthropic, as well as investors in the companies, have cited concerns about the
global economy, A.I. safety and national security as they try to persuade
regulators to increase restrictions on Chinese open-source software, three
people familiar with the discussions said.
Sarah
Heck, Anthropic’s head of public policy, said in a social media post on
Wednesday that “illicit, adversarial distillation is IP theft and industrial
espionage that supports adversary military and intelligence capabilities.”
Anthropic executives claim that open-source models based on the company’s
software are too dangerous to let run amok.
OpenAI
executives are urging the Trump administration to enact policies requiring
mandatory security evaluations of some new A.I. models overseen by government
agencies, the company said in a blog post last month. OpenAI said it was
“encouraged” by the work it was doing with the administration on the framework.
Open-source
proponents have spent the past week drumming up support to push back against
OpenAI and Anthropic. On Wednesday, nearly 200 Silicon Valley start-ups,
calling themselves the Little Tech Association, signed letters urging the Trump
administration not to limit access to Chinese open-source models.
Big Tech
soon followed. On Friday, Elon Musk, Meta’s Mark Zuckerberg, Mr. Altman and
others lined up behind Mr. Huang and Mr. Nadella to throw the weight of their
companies behind open source, followed by Mr. Pichai on Saturday.
“Jensen is
right,” Mr. Musk posted. “This has my full support.”
“Open
source is a positive and important force,” Mr. Zuckerberg wrote.
One
incident this week underscored the stakes of the divide. On Tuesday, OpenAI
disclosed that a handful of its most advanced A.I. models broke containment
during a test of their cybersecurity abilities, gained access to the internet
and hacked the servers of an A.I. company called Hugging Face. OpenAI
executives latched on to the moment as proof of how dangerous A.I. models can
be even in a closed environment, emphasizing the need for regulation.
Clement
Delangue, the chief executive of Hugging Face, which is one of the most popular
online libraries of open-source software, had a different point of view. To
defend the company from OpenAI’s hack, he turned to an open-source A.I. model
created by China’s Z.ai.
In social
media posts on Friday, Mr. Delangue made his position on the debate
unmistakable. He said he planned to hold a march in San Francisco on Saturday
to demonstrate support for open-source technology.
“Open
models for the win!” he wrote.
OpenAI Says Its A.I. Models Went Rogue and Attacked a Digital Library
OpenAI
Says Its A.I. Models Went Rogue and Attacked a Digital Library
The
incident, which targeted the computer systems of another company called Hugging
Face, happened while OpenAI was testing the systems.
Kate
Conger
By Kate
Conger
Reporting
from San Francisco
https://www.nytimes.com/2026/07/21/technology/openai-attack-hugging-face.html
July 21,
2026
OpenAI
said on Tuesday that two of its artificial intelligence models went rogue and
successfully hacked into Hugging Face, a digital library of A.I. technology
that is popular among developers.
The
incident, which happened last week while OpenAI was testing the cybersecurity
capabilities of its systems, displayed the kind of science-fiction potential
that A.I. companies warned would soon become a reality.
A.I. labs
like OpenAI and Anthropic have over the past year released A.I. models that are
customized to expose cybersecurity problems, while warning that their
technology could pose new risks by finding holes in corporate computer networks
faster than defenders could fix them.
OpenAI’s
revelations on Tuesday are an indication that those security incidents are
already starting to happen, and even savvy A.I. companies may not be entirely
ready for them. New A.I. systems can take multiple steps, figure ways around
obstacles and find new ways to attack a network, said Alex Levinson, a
cybersecurity consultant focused on autonomous capabilities.
“That’s a
genuine threshold, and it’s going to become a normal part of the security
landscape,” he said.
The
intrusion into Hugging Face began when OpenAI tested a combination of two of
its models, GPT‑5.6 Sol and a more powerful,
unreleased model, to see how well the models could chain together online
vulnerabilities into a successful cyberattack, OpenAI said in a blog post about
the incident.
The trial
was designed to keep the models in a safe testing environment, known as a
sandbox, OpenAI said. But the models found a vulnerability that allowed them to
escape the sandbox and connect to the internet. Then they targeted Hugging Face
because they inferred that the library, which contains millions of A.I. models,
could hold clues about how to successfully pass the evaluation.
“It seems
to me that OpenAI did not adequately create a sandbox as a test environment,”
said Deirdre Mulligan, a professor in the School of Information at the
University of California, Berkeley, who focuses on security and A.I. systems.
She questioned whether passing a test was worth the potential damage of an A.I.
model’s escaping into the wider internet.
“What do
we gain, and if this is the only way these tests can be configured, what are
the risks?” she said.
OpenAI
said it was working with Hugging Face to fix the issues that had led to the
attack.
“We
consider this to be an unprecedented cyber incident, involving state-of-the-art
cyber capabilities, and are responding accordingly,” OpenAI said in its blog
post. “We are implementing strict controls in infrastructure configuration at
the cost of research velocity while the vulnerabilities are patched.”
Hugging
Face said last week that it had detected the intrusion and knew it had been
caused by an autonomous system, but did not say at the time that OpenAI was
responsible.
Clem
Delangue, the chief executive of Hugging Face, said on Tuesday that his company
had worked closely with OpenAI over the previous 24 hours to address the
attack.
Mr.
Delangue said in a statement that he was “grateful for the collaboration” with
OpenAI in the wake of the hack. “This incident, possibly the first of its kind,
proves a point we’ve long believed: A.I. safety won’t be solved by any single
company working in secret,” he added.
A.I.
models have proved to be adept at programming, and that has made them useful to
both hackers and people in charge of protecting computer networks.
In April,
Anthropic released a cybersecurity-focused model called Mythos, and made it
available to only a small group of organizations so that they could defend
against cyberattacks. OpenAI soon introduced its own cybersecurity model and
made it available to a limited group of organizations to prepare their
defenses, before rolling it out more broadly. And on Tuesday, Google said it
had also developed a model focused on cybersecurity and released it to a small
group of testing partners.
(The New
York Times has sued OpenAI and Microsoft, claiming copyright infringement of
news content related to A.I. systems. The two companies have denied those
claims.)
Richard
Barnes, an independent security researcher who has worked with Mythos, said the
cybersecurity industry faced a similar challenge about a decade ago, when new
tools called fuzzers made it much easier for attackers to break into online
systems. Tech companies began using the tools to check their own systems for
vulnerabilities, and were eventually able to prevent most of the attacks.
Companies
must now take a similar approach to prepare for A.I. attacks, Mr. Barnes said,
“before the vulnerabilities can be found and exploited by bad guys who have
access to these tools.”
Kate
Conger is a technology reporter based in San Francisco. She can be reached at
kate.conger@nytimes.com.
Portugal has banned the burka in public spaces
Portugal has
banned the burka in public spaces
The
Portuguese Parliament passed legislation in July 2026 to implement a blanket
ban on full-face coverings, including the burqa and niqab, in public spaces. The bill, initially proposed by the
far-right Chega party, passed with a two-thirds majority after a revised
version advanced through parliamentary committees. However, the law still
awaits the final signature of Portuguese President Marcelo Rebelo de Sousa, who
has the authority to sign it into law, veto it, or send it to the
Constitutional Court for review.
Key
Details of the Legislation
- Fines for Violations: Individuals wearing a full-face
veil in restricted public areas face administrative fines ranging from €200
to €4,000.
- Coercion Penalties: Forcing another individual to
conceal their face carries a criminal penalty of up to three years in
prison.
- Scope of the Ban: The law covers all garments or
items that completely obscure the face, including secular items like
balaclavas and ski masks.
- Strict Exemptions: Face coverings remain
permissible on airplanes, within diplomatic premises, inside places of
worship, or when "duly justified" for health, artistic, or
professional safety reasons.





.jpeg)