The next breakthrough AI accelerator won’t be a one-size-fits-all product. It’ll be designed for your model, your workload, and the constraints that matter to you.
A 19-year old broke into India's largest high school examination system of 2M+ students a year, the CBSE, and was able to view and CHANGE any students' marks.
He responsibly wrote to the team 3 months ago, and it took them 3 days to fix only one of the issues. Today, they took the entire website down.
This is a absolute embarrassment. The futures and lives of millions rests in the hands of the utterly incompetent. There is also no mass media reporting on the matter.
This topic is close to me because not only is this the education system I went through, but 12 years ago and silently for 5yrs since, I'd written about and reported a much less severe vulnerability allowing me to scrape these results too. More than a decade later, not much has changed.
This 19yo, Nisarga Adhikary, wrote a great piece outlining each vulnerability he reverse engineered:
- the master password leak
- the client-side 2fac / OTP validation workaround
- tokenless access to the entire internal app (dashboard, evaluator details, etc) setting dummy browser values
- changing any password without knowing the old one
- an IDOR vuln allowing you to act as any user and edit exam marks
For those interested in a beautiful study in security breaches, this is a must read (link below).
If there's any light at the end of the tunnel, it's that a 19yo who never went to college can do things 99% of top engineers couldn't figure out.
@ATaylorFPGA@dwarkesh_sp@reinerpope I think Reiner meant less silicon/power efficient relative to ASICs, not slower.
for workloads where latency determinism and rapid iteration matter, FPGAs are often the more practical architecture despite the overhead
we built Synseis for teams that can't wait two years to find out if their silicon works.
the edge AI window is right now.
custom chips that ship in 18 months are already behind.
the hardest part of building Synseis wasn't the AI agents or the cloud synthesis backend.
it was convincing engineers that the slow part of chip design isn't the design.
it's everything around it.
so we built @synseis. an AI-native EDA framework that takes your RTL and gets you to a clean, optimized netlist + demo in days, not months.
no massive license fees.
no complex local setup.
just faster silicon for physical AI, robotics & edge.
a lot of chip designers underestimate how much time local EDA tool setup actually costs them
but it directly affects how fast you get from RTL to a validated design
Synseis now works with your existing RTL workflow. Agents pick up from wherever you are and carry it through synthesis and demo without any local EDA setup
Advancing to the next phase of AI requires specialized hardware — and moving forward isn’t easy. At Synseis, we’re committed to building the foundation for this important transition.
📷 See more: [https://t.co/yf5I0MX6MV]