Yes, limiting the full scope of capabilities, which is why I differentiated between Mythos (unrestricted) from guardrailed.
Main point being, we have no idea the measurable capabilities of this, it could be as great or better as unrestricted Mythos, or on par with guardrailed Fable.. or just OpenAI hype that measures up to neither.
The distinction is important because if it truly is a Mythos level (or even guardrailed Fable) it in theory would require that 30 day US government validation before release as well as oversight to the approved partners allowed to use it.
Op was drawing a parallel as to why we should be outraged at the double standard, I was drawing a better parallel by which to compare.
>No one commenting on the fact that oAI is releasing a Claude Mythos-class model - with apparent 0 restrictions or concerns by the US government
We don't know that it is Mythos level, it could very well be at (guardrailed) Fable or below.
This is not a wide open distribution, this is only being provided to hand picked partners, similar to how Mythos was distributed (unlike Fable which had wider distribution)
The larger question, which I don't see an answer to in this post:
1) was this tested and validated by the US Government?
2) is the list of partners vetted by the US Government?
If
This is "mythos-class"
AND
OpenAI approves SK Telecom as a trusted partner ( https://www.wired.com/story/sk-telecom-anthropic-mythos-export-controls/ )
OR
OpenAI did not get approval.
will this be shut down as quick? Otherwise, it is not really a comparable scenario.
Colossus is the world's largest single, unified GPU cluster, all GPUs acting as one coherent supercomputer rather than fragmented pools or multi-site setups. They spun it up in a fraction of the time by all estimates. It's not something you can just throw money at and reproduce the results.
Per Jensen Huang:
"As far as I know, there's only one person in the world who could do that; Elon is singular in his understanding of engineering and construction and large systems and marshaling resources; it's just unbelievable. A supercomputer that you would build would take normally three years to plan and then they deliver the equipment and it takes one year to get it all working."
..."it took 19 days to get Colossus from hardware installation to beginning training, the fastest by far anyone's been able to do that."
Regarding on site generators. Meta, OpenAI (Microsoft/Oracle) and others are also using on-site gas turbines, generators, and "behind-the-meter" power plants to keep up with the power demand. This has become an industry-wide strategy driven by grid constraints, with natural gas as a fast-deploy option.
It would be great if the grids could keep up with demand, if other options would be considered capable of producing the ongoing demands (ie. more renewable, nuclear, etc) but they're not, and companies are not going to just wait because then they're as good as done.
The answer remains, these rules do not specifically apply to only SpaceX, they apply to a range of companies that fit specific profiles. Timing happens to favor SpaceX, but will equally favor OpenAI, Anthropic and others within the same qualifiers.
The links above provide specifics as to the what's and the why.
>Why does SpaceX warrant a change of existing trading rules?
They don't, while timing certainly benefits, and potentially was triggered by them and OpenAI and Anthropic IPOs, these rules are not specific to only apply to SpaceX.
FTSE Russell (Russell 1000/2000 etc.) Adopted "fast entry" for large IPOs. Eligible companies (investable market cap above Russell Top 500 cutoff) can join after 5 trading days (previously quarterly rebalances). Also eased float rules with carve-outs.
Nasdaq (Nasdaq-100): Effective May 1, 2026, top ~40 market-cap companies can enter after 15 trading days (previously 3+ months). Adjusted low-float handling.
S&P Dow Jones (S&P 500): Reducing seasoning from 12 months to 6 months for megacaps and waiving the 4-quarter GAAP profitability requirement for large issuers.
Tesla has offered insurance on their vehicles since 2019, if they did self-insure the robitaxis, likely they would extend it through their existing insurance program.
* global distributed caching of content. This reduces the static load on our servers and bandwidth usages to essentially 0, and since it is served at an end point closest to wherever the client is, they get less latency. This includes user logged in specifics as well.
* shared precached common libraries (ie. jquery, etc) for faster client load times
* Offers automated minification of JS, CSS, and HTML, along with image optimization (serve size and resolution of image specific to the device user is viewing it from) to increase speed
* always up mode (even if my server is down for some reason, I can continue to serve static content)
* detailed analytics and reporting on usage / visitors
There are a lot more, but those are a few that come to mind.
The pushback isn't that they use Anthropic, it is that you stated they used it "entirely", which is not true.
Yes Anthropic is a priority model in their ecosystem and they are deeply embedded with both tech and staff, but they are not the one as indicated and sourced in my reply above.
>This isn't for people that really even care about performance. It's for people that want a laptop that works with their iPhone
That was my conclusion to my comment in my original. The title of "no other budget laptop can compete" is not just sensationalized, it is factually wrong. It should have been "the least expensive macbook yet comes with a catch"
I’m a bit confused about who this article is really for. The MacBook Neo starts at $600 so when I read:
“MacBook Neo is built on an iPhone chip—the A18 Pro. It’s far less capable of running intensive tasks than any of Apple’s M‑series chips or any moderately powered Intel or AMD processor.”
and that:
“It’s merely the right kind of performance for anybody who wants to browse the internet or stream video.”
...at this price point there are plenty of alternatives for laptops with better performance and specs.
For example, you can get a 15.6" Ryzen 7 5700U laptop with 32GB RAM and a 1TB SSD for less than the “unbeatable” price of the Neo:
Standard HDMI/USB‑C video out for external displays
So I can definitely see the appeal of the Neo for people who just want an inexpensive way into macOS, but the claim that “no other budget laptop can compete.” doesn't track.
Maybe it should have been "The least expensive Macbook yet, but that comes with significant downsides."
"Audio-to-Sheet-Music: Upload or record audio, get accurate sheet music"
but the bot says:
"I can't process an MP3 for you right now, but I can totally help you generate some awesome classical piano sheet music! Just let me know if you'd like me to create some for you! "
Is this a future feature or is there another way I should be sending audio?
Secondly, they're preloading the executable resident in memory to accelerate click to open, similar to what Chrome Browser does on Windows (and websites when browsing)
I don't perceive this as "fixing bad performance, given explorer has never been slow to open for me, but rather further optimizing the experience.