THE SHIPLOG_

Another myth just like the story about the US denying GPS to India during Op Vijay (Kargil).

GPS is a purely passive system. It works on pseudo ranging. The receivers receive data from multiple satellites (4 satellites for resolving 3D position and time) and work out their own position. No transmission by the user is needed.

Another statement I have read many times (including in some reputed defence journals) is that the US “denied” GPS to India during Kargil thus making us initiate the case for NAVIC. I’m not sure how this story came about.

Non military (US / NATO) GPS sets (till May 2000) operated under the US Selective Availability (SA) policy, which deliberately degraded civilian accuracy *worldwide* to roughly 100 meters horizontal (versus the much higher military precision). India was not uniquely singled out. SA was a standing global feature of GPS (including for US based civilian users) from the early 1990s until President Clinton ordered it turned off in May 2000.

Even during Kargil, civilian GPS signals remained available globally. Indian forces too used commercial/handheld GPS receivers (including units fitted into some aircraft).

I’m not sure if India ever asked for the precision code for targeting during Op Vijay. It is highly unlikely as at that time, India was under US sanctions (after India’s 1998 nuclear tests. Under the Glenn Amendment), which restricted military sales, equipment and technical assistance to India. So at best, Military-grade GPS (encrypted Precise Positioning Service / P(Y) code) was not provided to India. I’m not sure how the stories about GPS being “denied” to India came about. Selectively denying GPS to a particular user / group of users is also not technically feasible. It can be denied (by the US) or even jammed / spoofed (by anyone not just the US) with the right equipment *over an area*…but that again cannot be country specific.

BREAKING: The U.S. government, Google, Meta & Zuckerberg-backed @biohub are launching a $1.8B push to build the data layer for AI biology.

The goal is to create the largest open, AI-ready biological dataset ever assembled, giving models the data needed to better predict how biology works & ultimately help treat disease.

The coalition is massive:

› Biohub committed $500M
› DOE is investing $500M+ across measurement, modeling & compute
› NIH is bringing $500M+ of federally funded datasets & repositories
› Meta, Google DeepMind & @IsomorphicLabs are jointly investing another $300M

This is effectively an infrastructure buildout for AI biology.

Instead of just building bigger models, they’re attacking one of the biggest bottlenecks in biology AI today, generating standardized, high-quality biological data at massive scale & making it openly available to researchers.

$1.8B committed to turning biology into something AI can increasingly model, predict & engineer.

Breaking
lifespan.com/blogs/magazine/encouraging-prelim…

This is insane 🔥

The FDA cleared the first human age-reversal trial

A Harvard professor proved you can reverse aging by 75% in 6 weeks in mice cured blindness, reversed Alzheimer's, MS, ALS, kidney and liver disease then confirmed it works in monkeys

Now humans are next. Life Biosciences raised $80M to make it happen

His words "The eye is just the beginning. We believe we can treat every tissue. A whole body reset"

What if,
for any scientific claim,
you can search 100M+ papers to find the strongest evidence for and against it
⚡️in 1 second?

That’s now possible with Evidence API! 🚀
paperclip.gxl.ai/evidence-api

For example, does drinking coffee reduce diabetes risk?

Putting down your phone is more effective than antidepressants