@akostatus@paolo_scales 50K outreaches/month? thats 1 outreach every 51.84 secs. I cant imagine that LinkedIn would allow a bot to do this. Proof, or what you are saying is bs
@vinayp10 also, the purpose of IP and pharmaceutical is to be able to earn a return. Most of the return on a successful molecules earned in the first two years.
Also, people misunderstand the chances of finding a successful molecule that can help people. It’s a one and 1 billion chance
@vinayp10 how is insulin still under IP in the US? I haven’t checked, but I strongly strongly doubt that it is.
I am pretty sure you just blasted this out . This specifically is probably not the reason why it is so expensive in the US.
This is one of the clearest signals yet that the Bank of Japan has lost control of the long end of the curve. Japan’s 30-year yield hitting 2.845% its highest since 2004 isn’t just a local event. This has global knock-on effects: Japan is the largest foreign holder of U.S. Treasuries and a key player in the global carry trade. Rising JGB yields force Japanese institutions to repatriate capital, unwind overseas positions, and pull back on USD asset exposure adding pressure to U.S. yields and FX volatility.
This spike also signals the end of the deflationary regime that underpinned global risk assets for decades. If Japan once the global anchor of low yields can’t suppress its bond market anymore, it opens the door to a global repricing of duration risk. This isn’t a blip. It’s a sovereign-level alarm bell.
We wrote down everything we've learned building voice AI agents over the past two years.
Core technology choices, minimizing latency, managing multimodal context, interruption handling, turn detection, evals, state machines, guardrails, memory, async and realtime function calling, ...
Plus diagrams, charts, and code samples.
The text is open source, so feel free to submit PRs.
Psychologists have posited hundreds of cognitive biases over the years. A fascinating new paper argues that they all boil down to one of a handful of fundamental beliefs coupled with confirmation bias.
[Link below.]
I KNEW IT!
It takes real energy to move from one “brain state” to another, which explains what I think is one of the most under-appreciated facts in all productivity:
That the mere order in which you complete tasks is profoundly important
A sequence like Task A => Task B => Task A => Task B might require exponentially more energy than Task A => Task A => Task B => Task B…
Even though it’s the exact same set of tasks!
The order really matters, because in each transition from one type of task (requiring a certain kind of thinking) to another type, your brain is having to overcome the activation energy needed to shift brain states
In other words, we have to batch process our tasks to conserve energy, the same way we batch process production runs in manufacturing to conserve time (the time needed to “switch dies”)
That explains why so many of the lessons and techniques of old-school manufacturing still apply to modern knowledge work: transitions still consume resources, just a different kind of resource