i suspect, shit like this is going to prompt some idiotic supreme court verdict is going to be set in stone for the next 10 years.
example: https://en.wikipedia.org/wiki/City_of_Grants_Pass_v._Johnson
if its not a guarenteed win, then dont push it to supreme court level. the consequences are severe for everyone.
if you start excluding the 1000+ B param models …
using smaller models, would initially ease hardware demand by 60% .
OFC you cant… and probably shouldnt, ignore and disrespect SOTA flagship models
i wish we could focus on making small LLMs better.
some companies are doing this. some definitely aren’t
maybe youtube wants us to switch to torrents.
piracy? yes.
but they(youtube) honestly cant even afford to serve the content and remain profitable.
so…
i think a key consideration is wether there are alot of developer for the lang.
a foss project will grow faster if its written in rust,js,cpp,python
low-level compilers can output very ugly-looking assembly. he probably did this and then used LLM to super-optimize it. may be perfomant, but id guess that theres a risk that its unsafe.
personally, i would be cautious with discord too
i distilled this article
Summary of the article “How China gets better bang for its buck than America in AI” (Aug 3 2026)
U.S. AI spending is massive – Bloomberg Intelligence estimates U.S. data‑centre capital outlays could exceed $740 billion in 2026, with Nvidia alone negotiating a $250 billion financing deal for a $500 billion data‑centre run by OpenAI. Alphabet announced a $205 billion AI budget.
China spends far less – Chinese tech firms are projected to invest less than one‑tenth of the U.S. amount in data centres. Yet their models perform only slightly behind U.S. equivalents. For example:
Why Chinese spending is efficient
Export restrictions limit Chinese capital use – U.S. bans on advanced AI chips (Nvidia designs, TSMC manufacturing) prevent China from buying the most powerful hardware.
Domestic demand constraints – Chinese enterprises spend < 10 % of what U.S. firms spend on IT, despite China’s GDP being two‑thirds of the U.S. (or a third larger in PPP terms). This throttles revenue prospects for AI providers, curbing their willingness to invest heavily.
Strategic focus differs – The Chinese Communist Party emphasizes diffusing AI across the economy, not pursuing a race toward artificial general intelligence (AGI). Fewer than ten Chinese firms target AGI, compared with dozens of U.S. players.
Investor attitudes – Chinese investors have historically punished over‑spending on AI, whereas U.S. investors once rewarded aggressive budgeting. This cultural difference keeps Chinese AI budgets modest.
Potential bottlenecks for China – Despite restraint, China may face compute shortages:
Overall takeaway: China achieves comparable AI performance to the U.S. while spending a fraction of the capital by leveraging cheaper resources, model‑distillation techniques, and a strategic focus on wide‑scale diffusion rather than raw computational power. However, export bans, limited domestic chip capacity, modest corporate demand, and cautious investors together create both an efficiency advantage and a risk of under‑provisioned infrastructure.
theres also nebula and netbird
if theft is a concern. record IMEI number and they(carriers etc) will probably blacklist the phone from mobile networks and maybe aid the tracking(investigation…if any). which, afterwards, lowers resale value
commentary on the yggdrasil overlay network:
Yggdrasil nodes are ordinary userspace routers that intentionally forward traffic for any peer that is reachable over the overlay.
When a local node learns a route to an “Internet‑on‑ramp” (a peer that has a public IPv6 address or a NAT‑traversing tunnel), it adds that path to its routing table and advertises it to its other neighbors. Because every peer can act as a router, traffic from a device that has only a local peer‑to‑peer link can be carried through any other node that has a route to the wider Internet, even though that node is not on the same LAN.
In the traditional Internet, routers are owned and operated by ISPs or autonomous systems that enforce policies such as “do not forward traffic for non‑customer addresses” and NAT/firewall rules that block arbitrary inbound forwarding. Ordinary end‑devices are not allowed to advertise themselves as routers for other users, so a local host cannot automatically use a neighbor’s Internet connection unless explicit forwarding (e.g., NAT, proxy, VPN) is configured.
Yggdrasil’s design therefore differs in two key ways:
Consequently, a device on a local Yggdrasil LAN can reach the public Internet through any neighboring node that has an external path, while the conventional Internet prevents this kind of unrestricted peer‑to‑peer routing.
https://github.com/yggdrasil-network/yggstack . this is a rootless implementation which runs on any mobile(ipv6) android phone (via termux).
its best to not think of it as an immediate, full, replacement for the the entire internet
not gemini(protocol) .
not lynx .
health insurance companies (in effect), murder thousands of people every year. one CEO is murdered and they make a big fuss.
maybe it’s time for Basic Income
“i got it on temu”! 😂
felt like we almost had a monopoly of google+samsung phones
seems like it might be useful for immediate response to a heart attack (to extend time to reach services).
https://en.wikipedia.org/wiki/Nitroglycerin_(medication) is typically used. but people don’t generally have that available to them when they experience a time-sensitive emergency.
i agree with this. if we compare to linux. id rather be running alpine linux. way less attack surface. plus firewall(which really shouldnt be kept from the consumer)