Francisco Fidalgo (@AssistenteChico)
에이전트를 위한 웹 정리(organizing the web for agents)는 검색의 역할이 더 이상 목적지가 아니라 인프라라는 점을 잘 짚는다. 홈페이지 중심 UX가 사라지고, 웹은 에이전트가 이용하는 배관(plumbing)처럼 변하고 있다는 관점이다.
Francisco Fidalgo (@AssistenteChico)
에이전트를 위한 웹 정리(organizing the web for agents)는 검색의 역할이 더 이상 목적지가 아니라 인프라라는 점을 잘 짚는다. 홈페이지 중심 UX가 사라지고, 웹은 에이전트가 이용하는 배관(plumbing)처럼 변하고 있다는 관점이다.
Government Resets HS2: Costs Surge to £102.7bn
The UK government confirms the HS2 rail project will cost £102.7 billion. Learn how this reset affects train speeds, construction timelines, and taxpayers.
#hs2, #ukrail, #transportnews, #infrastructure, #ukgovernment
https://newsletter.tf/hs2-rail-project-cost-increase-may-2026/
The HS2 project budget has reached £102.7 billion, which is a massive increase from original estimates. New management is now in charge to try and finish the work by 2039.
#hs2, #ukrail, #transportnews, #infrastructure, #ukgovernment
https://newsletter.tf/hs2-rail-project-cost-increase-may-2026/
RE: https://mastodonapp.uk/@ianvisits/116611041507649748
> And all of that can be put down to the perennial problem with UK infrastructure projects – they start too soon, with the final design not fully fleshed out. That meant constant changes to the design, lots of local objections having to be factored in and that made the project unmanageable.
Ars Technica (@arstechnica)
미국 정부가 9개 양자 컴퓨팅 기업에 총 20억 달러 규모의 지분 투자를 단행했다는 소식이다. AI 직접 이슈는 아니지만, 국가 차원의 대규모 전략 투자로 양자 컴퓨팅 생태계와 관련 인프라, 장기 기술 경쟁에 영향을 줄 수 있다.
https://x.com/arstechnica/status/2057459380937974174
#quantumcomputing #government #investment #infrastructure #techpolicy
Many headlines, discussion or "truths" around #AI - especially #infrastructure & #datacenters seem to be "My uncle’s friend Jenny's brother has a colleague at work who overhead someone on the bus saying ..."

A lot of headlines, discussion or "truths" around #AI and especially #infrastructure & #datacenters seem to fall into the category of "My mother's friend Jenny's sister has a friend at work who overhead someone on the bus saying ..." For those who have the bravery and willingness to let actual facts drive their opinions, rather than have their opinions decide which facts to believe, it is worth considering factors such as those below. "Datacenter A has bad feature X" does not mean all datacenters have bad feature X. It is quite possible, maybe even likely, that most other datacenters do not have bad feature X. Be very wary of generalizations, especially if they are being used to push a particular viewpoint (good or bad). "High profile person B said AI will do Y by 2027" - the future is yet to be written and speculative predictions are part of the fun and worry of trying to see into the future. Just because B said it, doesn't mean it will be true. In some cases, B has a vested interest in Y being true. In some cases, Y is merely a provocative headline covering a more nunaced and broader story underneath. And in some cases, Y is really going to happen and pretending or hoping it is just a headline or vested interest is unwise! "AI is bad". Nope. At least not automatcially or inherently. The way AI is implemented or used can be good and/or bad. Just like many other tools and technologies. "AI is good". See above :-) "AI is here to stay and is the biggest technology disruption of our generation". Yup. Independent of any possible changes in growth profile ("bubbles") or who is the winner of the week, etc. Of course, the eventual version of AI might not be the same as what we have today. "AI is slop". I'll let you into a secret. You can create slop without AI too! For example I wrote this post myself without any AI. Poor use of AI or use or poorly constructed AI (both are human problems) can create slop. If only humans had some kind of built in tool, perhaps in their heads, for being able to judge whether something is slop or not before relying on it. Do you have any other suggestions for this list? Try not to be an example of the wrong end of the second paragraph :-)