Lets reflect on Aristocreon, in about 200 BC, putting their thoughts down on a scroll. They would be aware that the scroll might be kept in a library for some time. Maybe they could have imagined it surviving for 300 years. But they never would have imagined that in 300 years a volcano might destroy the scroll, but in some way preserve it. And then that nearly two thousand years later future humans with machines made of materials unimaginable to Aristocreon, but related distantly to sand and lightning, would be able to read the scroll again and instantly transmit it to nearly the whole planet, a planet with many times more humans than existed in their time. (and speaking of 'planet', in Aristocreon's time, people had fairly recently been able to show that the world was spherical but much of it was still unknown).
Do we have better imaginations? Can our sci-fi writers come up with something equivalent that is as dizzyingly far from what we know now, as now is from what Aristocreon knew?
If anything these models should be compelled to be public since they have been trained off public data. What an absurd overreach to call this an attack.
It’s clear they are scapegoating national security and China at this point to build an anti-competitive moat.
I generally really like Anthropic’s work and models but stuff like this scares me for the future. We are positioning these companies to have too much power. The public’s life is getting worse while these companies consolidate power using data they stole from the public.
The hypocrisy of Anthropic complaining about "illicitly extracting its Claude AI model capabilities" and supporting the White House's accusation of China "stealing U.S. AI labs' intellectual property on an industrial scale" is hilarious.
Anthropic, OpenAI, Google, Microsoft, et al trained their models by ignoring the rights of copyright holders when harvesting whatever content they could. Now one of them is crying foul for another entity doing exactly what they all did?
Anyone else here enjoy living in the future? Look at us, we get AI megacorporations ruling the world and bestowing us with the power to use their servers for just $20-200/month. It's practically charity, and all we had to give up for it is all consumer hardware, the quality of the internet and our own jobs. I love it here!
About 11 years ago, I cold-emailed Om for his guidance. I was an absolute nobody, living thousands of miles away. Not only did Om patiently explain how I should think about my career, he kept in touch over the past decade checking in on how I was doing. I left journalism last year to do something else -- coincidentally, again, following Om's footsteps -- and had been meaning to write a long email, sharing so much. I deeply regret missing the chance to have another conversation with him.
Om has been deeply impactful to my journalism career and beyond. He was way too kind and leaves a big vacuum.
Interestingly, there were no consequences for the execs that made this 'mistake'. There seems to be almost unlimited cover for execs cargo culting on using AI as a pretext for layoffs. If it doesn't implode almost immediately, they get massive bonuses, if it blows up in their face, oh well they had the courage to 'take a bold strategic decision'
In other words, they don't really have a plan, but they are happy playing with people's lives via layoffs, since it's the 'in' thing to do. The incentives are huge on the upside and zero on the downside for them.
I hope this doesn't become the new norm where government becomes the bottleneck for innovation in the AI space.
It's worrying that with no formal and transparent policy framework that the government will be picking winners and losers and stifling innovation.
There's been no public policy, executive order, legislation, or otherwise on this, I wonder if anyone has filed FOIA requests for these decisions or the conversations between the Executive Branch and AI companies.
I'll just leave it here: "Anthropic's downloading of over seven million books from pirate sites like LibGen constituted infringement, the judge ruled, rejecting Anthropic's "research purpose" defense: "You can't just bless yourself by saying I have a research purpose and, therefore, go and take any textbook you want."
> These complaints of distillation are inflating the problem to make it sound worse than it is
Unfortunately, the Reuters piece itself is complicit in this dramatization. The lede paragraph parrots Anthropic's talking point that distillation is an "attack", without using quotes that would alert the reader that this framing is a corporate talking point. Distillation is NOT an attack.
> The team that made dataroom has stated that they did not use any of papermark’s code and that dataroom was made from scratch with inspiration from existing document sharing softwares, and that this post’s allegations of us stealing code are false. [...]
The screenshots clearly show they copied whole pages verbatim, both design and texts. The founder, Nico Laqua, basically responding with "we didn't copy _code_" and not taking any responsibility says a lot about his and his company's moral code. It might not be enough to get sued. That doesn't make it right.
> logic technology can extend for the first time below the 1 nm node, advancing the era of angstrom-level scaling, where dimensions approach the size of individual atoms. While transistor nodes now refer to a generation of manufacturing technology versus an exact physical dimension, IBM’s 0.7 nm technology—also referred to as 7 angstroms—demonstrates how continued scaling remains possible.
Continuing the well established trend of making bold claims about physical dimensions that have nothing to do with any of the structures in the chip, and the name scales better than the tech.
What they actually deliver is a "nanostack architecture" built with ~5nm features that according to them is comparable to a hypothetical real sub-1nm chip.
It's an impressive achievement nonetheless but it looks like the industry has a few too many marketers.
Indeed, I find quite ironic that some people in tech in the US complain about EU "regulations first" approach, but then their government seem to arbitrarily stop things from being released because, well, there is no established policy on safety guarantees or other similar aspects.
These are the price changes mentioned in the article:
Macs
MacBook Neo: $699 (up from $599)
13-inch MacBook Air: $1,299 (up from $1,099)
15-inch MacBook Air: $1,499 (up from $1,299)
M5 MacBook Pro: $1,999 (up from $1,699)
M5 Pro MacBook Pro: $2,499 (up from $2,199)
M5 Max MacBook Pro: $4,099 (up from $3,599)
iMac: $1,499 (up from $1,299)
M4 Max Mac Studio: $2,499 (up from $1,999)
M3 Ultra Mac Studio: $5,299 (up from $3,999)
iPads
iPad: $449 (up from $349)
11-inch iPad Air: $749 (up from $599)
13-inch iPad Air: $949 (up from $749)
11-inch iPad Pro: $1,199 (up from $999)
13-inch iPad Pro: $1,499 (up from $1,299)
iPad mini: $599 (up from $499)
More products:
Apple TV 4K: $199 (up from $129)
HomePod: $349 (up from $299)
HomePod mini: $129 (up from $99)
Vision Pro: $3,699 (up from $3,499)
Easily the most interesting part of this announcement is buried in the second to last paragraph:
"We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity."
750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new version is anything but a version bump in terms of capabilities but if we can start getting these answers back faster, they end up being more useful.
Just off the top of my head, I can think of the tedious task of finding certain functionality within a codebase. I usually can't beat an AI agent harness at this task today. If the AI model is 3x faster I have less of chance.
Some unc perspective: I paid ~$6,000 in inflation-adjusted dollars for a computer in 1996. Today, I can get the same power in a $6 single board computer. A powerful modern mini PC starts at ~$600.
However painful these price hikes are, and they are painful, it is worth remembering that computing has become incredibly ubiquitous and cheap.
> […] the publisher posted a blank white page with the cryptic phrase, “This article has been withdrawn due to article violation.” Springer Nature is nevertheless still selling the empty PDF for $39.95.
completely unsurprised, given the state of online papers publishing. if you don’t have an subscription or aren’t an organisation member, the fees are insane
I want Oxide to do so well. The product is a breath of fresh air in the era of cloud providers. As an engineer, I'd kill to get to work with their hardware.
Not to mention that working at Oxide sounds like a modern Sun Microsystems with the ideology that team has. Highly recommend their podcast "Oxide and Friends", and their original "On The Metal" show.
I've attempted to apply to their company multiple times over the years, only to be stun locked by the application process. Not because it's a bad process, but because I feel I'm not up to par as an engineer. Maybe one day I'll go through with it.
> Karen Oyelaran finds the payload by reading the source code with her eyes and files a second issue. The triage assistant closes it as “duplicate of #8814.” Issue #8814 is a feature request for dark mode. Karen reopens it. The assistant closes it. Karen reopens it. Karen’s GitHub account is rate-limited for “patterns consistent with automated behaviour.”
And this - the final sentence is a perfect indictment of the timeline we are in.
> Two AI review agents from competing vendors, both attached to a downstream pull request bumping foxhole-lz4, enter a disagreement loop over whether the package is malicious. After 340 comments and $41,255 in inference spend, Finance revokes both API keys; one vendor’s marketing team, cc’d on the cost anomaly alert, issues a press release citing “a 430% YoY increase in adversarial multi-agent security reasoning.” The stock opens up 6%.
How does anyone seriously trust LastPass anymore? Years ago, I was working for a company handling bank data. They were using LP immediately following a previous LP security incident and had no plans to migrate away.
Just yesterday I saw people saying that Apple wouldn't increase prices until the next refresh.
And I agreed! So… holy shit. I think we're going to see even further price increases across the industry. There already were a ton, but it can always get worse, of course.
Thank you, OpenAI. What would have we done without your attempts at monopolizing destroying the memory market.
There's also https://noclip.website/ which, while not playable, has hundreds of levels from dozens of older games that you can explore freely. Including Half-Life 2, with more accurate rendering than this web port (which seems to be missing many shaders including character eyes).
Oauth and enterprise auth has to be the worst thing ever made, it might be the most confusing and frustrating part of dealing with the cloud. Even the AI tools took a year to just get basic Oauth working on headless systems without assuming you could open a browser. If they're going to go down the auth rabbit hole with RBAC/IAM/Workload identities?/service accounts and all the trash the big cloud providers have, I just hope to god they leave in the simple shit for personal use. I just want a damn API key, I keep it a secret and revoke if necessary and don't need 10000 layers of auth bullshit tangled up in every layer of every platform.
This is regulatory capture in action. This will make it hard/impossible for new vendors to come into the market and only established companies will get to play, and charge, for LLMs. What does this mean for open source? Will it become illegal to download weights? What about train your own? Are we heading to a world where GPU use is regulated to ensure that illegal LLMs aren't being processed on your machine? More broadly though, how will this stop anyone but average people? Countries outside the us will completely ignore this and keep developing and moving ahead. Maybe Europe will adopt similar things but the genie is out. I can train insainly powerful models on my laptop. If you want to stop LLMs with legislation you can't do it like this.
The AI companies seem to take the viewpoint that everything on the internet is free, except their stuff. It's okay to hammer some random website with AI crawlers, ignoring robots.txt, and causing bandwidth costs to skyrocket. But if you cost an AI provider money with your data acquisition practices, well, that's just clearly unacceptable.
This is a bit ironic, Anthropic complaining about a competitor using claude data to build its own product when Anthropic basically used all of human knowledge production to build claude, i don't think they paid every magazine, author, journalist, etc ...
This is almost standard practice in any competitive industry anyways.
Disassemble your competitor's product, study it and try to reproduce / improve.
In March I went to Beam Line 18 at the European Synchrotron Radiation Facility. I had to swap out the scrolls on the xray pedestal. Scrolls that were presented as a diplomatic gift to Napoleon and Josephine by King Ferdinand. France has 2 of the 6 that they were given still in tact. I had to handle both of them. I have never felt more stressed in my life and have never and will probably never again handle such a priceless artifact.
I feel the opposite of that feeling and am immensely proud of everything that the core challenge team has accomplished
