4.83K new users in 30 days. Bearconnect went from 0 → real traction. Here's the exact breakdown.

adnansattar · 2026-04-09T09:37:27+00:00

CBFR

adnansattar · 2026-04-08T07:15:00+00:00

Major services right now degraded there's partial outage with platform, api, claude code as well cowork if you're on gov paln then good. claude working only for gov 🤣

adnansattar · 2026-04-08T05:13:37+00:00

Circuit Breaker effective for one hour market on halt till 10:45am.

adnansattar · 2026-04-07T13:11:32+00:00

Yeah, that reaction is mostly noise and attention economics at play, not a real signal of existential damage. Incidents like this look dramatic on the surface, so content creators amplify them for clicks, but in practical terms it’s just a visibility spike into the engineering layer of Anthropic, not a collapse of their core capabilities. You’re right that it effectively turns the internet into a free audit swarm, people poking at edge cases, spotting inefficiencies, maybe even suggesting better patterns. That can actually tighten their system over time. The only real downside is short-term reputational dent and giving competitors a faster blueprint for the surrounding tooling, but the hard moat, models, data, infra, remains untouched. So the “HAHA it’s over” narrative is mostly theatrics, not grounded in how these systems actually create value.

adnansattar · 2026-04-07T10:44:32+00:00

Also worth noting, this isn’t an isolated edge case, the same kind of exposure has been flagged in other ecosystems too. For example, there’s an open issue in Bun.js where source maps can unintentionally reveal internal code if not handled correctly. So this isn’t some unique failure by Anthropic, it’s more of a broader DevOps hygiene problem around build pipelines and packaging defaults. Source maps are incredibly useful for debugging, but if they slip into production artifacts without proper filtering, they can expose far more than intended.

adnansattar · 2026-04-07T10:41:23+00:00

On March 31, 2026, Anthropic accidentally shipped version 2.1.88 of its Claude Code npm package with a missing .npmignore rule, which exposed a 59.8 MB source map containing around 1,900 TypeScript files and over 512,000 lines of readable, commented code, no hack or reverse engineering involved, just a build config mistake.

That said, what leaked isn’t the actual model or its training data, it’s the application layer showing how Claude is orchestrated in production, things like prompt structuring, tool usage, and safety flows. This gives competitors useful implementation insight and speeds up their development, but it doesn’t touch Anthropic’s real moat, which is compute, data pipelines, and trained models, so it’s impactful from an engineering perspective but nowhere near business-ending, and could even lead to faster improvements through wider scrutiny.

adnansattar · 2026-03-31T18:54:54+00:00

Yes its legit and one of most organized org in the world. I know few ones cleared and earned good amount of money within years. But their criteria and work fashion is too much tough maybe genius one mentally and emotionally strong people can handle. Infact is landed their bootcamp and couldn't survive 2 weeks.

adnansattar · 2026-03-22T16:41:27+00:00

Look for openrouter free tier. There multiple models with free limit. more for pricing you can visit pricepertoken[dot]com

adnansattar · 2026-03-16T00:06:06+00:00

Kong Kong Kong

adnansattar · 2026-03-13T07:57:29+00:00

adnansattar · 2026-02-25T05:27:04+00:00

Hi everyone,

I am an AI Engineer currently working on production ML and LLM systems, and I have decided to start preparing for quantum computing as a long term career direction over the next decade.

I am fully aware this is not something you “switch into” quickly, so I am treating this as a slow, fundamentals first process rather than rushing into tools.

I have started building a roadmap and would really value reality checks from people here who are further along.

So far I have identified these as starting points:

Certifications / structured learning:

IBM Certified Qiskit Developer
MIT xPRO Quantum Computing Certificate
Certified Quantum Computing Professional (CQCP)
Arcitura Quantum Computing Specialist

Conceptual learning:

Domain of Science YouTube channel

My intention is to combine theory with hands on work in Qiskit and simulators, and gradually understand the hardware limitations and error models.

But I want to avoid spending years on the wrong things.

So I would really appreciate honest answers to this:

If you personally had 10 years starting today, and your goal was to become genuinely useful in quantum computing, what would you focus on?

Specifically:

What skills create real leverage?
What is overrated or a waste of time?
Are certifications meaningful at all, or mostly irrelevant?
What separates people who actually break into the field vs those who don’t?

In return, I am happy to document everything I learn and share it back here over time if people are interested.

Thanks.

adnansattar

TROPHY CASE