Conducting effective technical interviews is becoming increasingly difficult as candidates use AI to prepare for JDs and roles, and tools that allow real-time answers to complex questions.
One approach is an interactive system design discussion, reviewing decisions and testing intuition by changing criteria and dependencies on the fly, followed by a live coding session where candidates use AI to plan or build a feature.
Having experimented with small size teams in Q3 - I believe this is indeed the way. We will scale not by adding team members but independent teams of 1-2 people that pick up modules, deliver and move on to the next.
As models get better we are able to start with higher level objectives instead of tasks and have it broken down. With something like projects, @AnthropicAI vertically integrates into offerings from @Lovable@Replit and even @databricks apps.
It’s getting easy to build software but there’s really so much automation left to do in the world. Until we have autonomous agents free to do their own thing there’s still so many problems for us to solve.
"We're about to see an absolute bloom in software development as the price of development plummets and everyone realizes how much automation we still have left to do in this world... Don't go down with the pencils. There's so much to build. We need you." https://t.co/HJbUwMiDEU
Confirmed room-temperature materials of this type would let spintronic memory and sensors pack tighter and switch faster, because they keep spin-sorted electrons while producing no net magnetic field that forces parts apart.
The practical reach stays limited to specialised chips in data storage, medical implants, vehicle sensors and aerospace electronics, rather than replacing ordinary processors or changing how most goods are made.
Everyday technology would shift only if the materials can be grown cheaply on silicon at high yield; otherwise the gain remains an incremental improvement inside existing spintronic niches.
For decades, researchers have sought materials that sort electrons by spin while their magnetism cancels.
In 3 days, 90+ Opus 5.5 agents helped us uncover two room-temperature magnetic semiconductor candidates in simulations: YBaMnFeO₅ and KV[Cr(CN)₆].
KV[Cr(CN)₆] was synthesized back in 1999. Its predicted ability to sort electrons by spin appears to have been hiding in plain sight for 27 years.
Glad to see the promise of additive manufacturing/3d printing I had published about in 2014 come to life. Just needed 12 more years for the technology to mature.
We are now entering into an era where any product can be created exactly to a consumer's preferences & needs.
I vibe-fabricated a dog door with a wifi-controlled lock, perfectly to the specifications & design of my house.
I know nothing about metal fabrication or electrical engineering.
It's now getting manufactured and delivered in 2 weeks -- for almost the same cost if I bought a mass-produced item off-the-shelf.