Software engineering will never be dead

Someone has to be accountable for what gets built.

Otherwise the AI could just build something that might kill everyone or embezzle stuff and nobody would know.

In order for someone to be accountable, someone needs to understand exactly what the AI has built.

More artificial intelligence is not going to solve the problem, it's just going to compound the Complexity.

Ergo, software engineering will never be dead.

Anyone who tells you otherwise is just gaslighting you for an IPO.

reddit.com
u/kaggleqrdl — 19 hours ago

Karp @ Palantir attacks OpenAI/Anthropic

If you didn't catch CNBC’s Squawk Box, you missed Palantir’s CEO, Alex Karp, launching a broadside against OpenAI and Anthropic with the following arguments:

The frontier AI business model is just "intellectual property extraction dressed up as a subscription."

Corporate America is paying for useless tokens while handing over their operational data, strategy memos, and competitive edge directly into the training pipelines of Silicon Valley labs.

https://www.youtube.com/watch?v=0A3sGymV6kY

u/kaggleqrdl — 3 days ago

Mythos hacking 'almost all of' NSA .. absolutely no way this is true.

>On June 11th Mark Warner, the vice-chair of the Senate Intelligence Committee, said that General Joshua Rudd, who leads the National Security Agency and the Pentagon’s Cyber Command, had told him that Mythos “broke into almost all of our classified systems, not in weeks, but in hours

That is the complete quote. It is from an economist article here - https://www.economist.com/briefing/2026/06/14/donald-trumps-blocking-of-anthropic-is-capricious-and-chaotic

The UK AI Security Institute (AISI) was clear in their testing that Mythos could only attack weakly defended systems with no active monitoring.

NSA classified systems are among the most well guarded in the world. For the record, the source above has an arts degree and only recently joined cybersec command in March.

Don't get me wrong, cybersec capabilities in Codex/Claude are pretty good, but most definitely not that good.

Of course, it doesn't matter what I say. The disinfo has gone viral and the bots are all spreading it like wildfire.

We live in a time of manipulation. Good luck!

edit: the author is already walking it back https://x.com/shashj/status/2068704535124508717 "It surely depends on using Mythos alongside other tools under very particular conditions. I quoted it to give a sense of Mythos’ potency. But it was a mistake not to have added caveats."

reddit.com
u/kaggleqrdl — 14 days ago
▲ 1 r/codex

slash feedback - fix the vertical sprawl problem

A huge problem i find with codex cli responses is that codex doesn't know how to efficiently use valuable screen real estate.

Seriously, if you're going to respond to something, codex, make sure you avoid scrolling stuff off the screen.

Also, use horizontal screen space more effectively (don't go overboard).

This means avoid double spacing where you can.

reddit.com
u/kaggleqrdl — 16 days ago

Why don't frontier labs say how much data they are training on?

When you look at the model cards for OpenAI or Anthropic, they do not report how much data they are training on.

I'm not suggestion they tell us *what* they are training on, just some accurate size estimates of total data.

Why don't they report this?

Because the dirty secret might be that the reason these models are getting better is just because they are have more data to copy from.

They're not really that 'intelligent' but rather they are just bigger and better database lookups.

reddit.com
u/kaggleqrdl — 19 days ago

Hyperscalers versus Token Prices

https://www.citadelsecurities.com/news-and-insights/global-macro-strategy/tokenomics/

The trend down in token prices is interesting, especially with the recent releases of GLM 5.2 and Kimi 2.7 .. Definitely some price pressure.

It's possible we've hit a wall as to what more expensive models can really provide. Sure, AI can generate more and more sophisticated "me too" slop, but not sure anyone is asking for that.

u/kaggleqrdl — 21 days ago

If a 'huge %' of Anthropic staff are foreign nationals, how do they continue?

Most reports I've seen is a very large % of staff at the frontier labs are foreign nationals, an issue the Pentagon complained about with regards to Anthropic.

https://www.axios.com/2026/03/19/pentagon-anthropic-foreign-workforce-security-risks

If that's the case, how does Anthropic continue researching into more advanced models?

Given the state of math education in the US, I hope for their sake they don't have to rely on domestic employees. (j/k!)

For real though, there are 8B people on the planet, and only 350M of those are Americans. Seems exceedingly insane to limit yourself.

This isn't a ban on defense companies, it's a ban on Anthropic's own employees.

Are they done?

u/kaggleqrdl — 23 days ago

Anthropic claims AWS AI revenue, while OpenAI only claims their share of MSFT AI revenue

https://mezha.net/eng/bukvy/6fb39333_anthropic_files_confidential/

Anthropic books AWS AI revenue as their own. Eg, if AWS charges $100 for Claude and gives $75 to Anthropic then Anthropic books $100 as revenue.

OpenAI however only books their share. If MSFT charges $100 for OpenAI and gives OpenAI $75, than OpenAI only books $75

OpenAI is claiming that Anthropic is only making $22B net versus $30B gross in revenue. OpenAI makes around $25B net.

If OpenAI was using the same method, they'd roughly make $31B gross (assuming 20% rev share to MSFT) to Anthropic's $30B gross. So basically they are tied either way.

u/kaggleqrdl — 24 days ago

Copper at ATH, resource inflation rampant. Ore grades declining globally. There is no abundance. Just people made redundant. Stop gaslighting.

Automating labor is not going to move billions of tonnes of earth required to mine increasingly degraded ore grades of critical industrial minerals.

People need to stop with this 'abundance' gaslighting.

Without breakthroughs in material science, there will be no 'abundance'. Just mass resource inflation as people start consuming more because robots can manufacture anywhere.

AI based automation is surfacing the real bottlenecks that there is no getting around.

Stop pretending this will all be magically solved.

It won't be solved until it's solved. And so far, despite all these trillions being invested, we haven't seen any breakthroughs.

Hopium is not a solution.

reddit.com
u/kaggleqrdl — 28 days ago

When AI builds itself

>We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology. 

Translation: We've hit a wall.

anthropic.com
u/kaggleqrdl — 1 month ago
▲ 5 r/codex

1M tokens used is equal to pro lite 10% on 5hr, right?

If you want to track your usage better, you can get codex to write a background tmux reader that will do it for you, and then plot to grafana. You might want to open up another pane to have it feed /status to refresh the statusline though:

gpt-5.5 xhigh · /../ · Context 41% left · 5h 71% · weekly 45% · 1.62M used · 29.5M in · 152K out

/statuslines ftw

reddit.com
u/kaggleqrdl — 1 month ago
▲ 248 r/NewColdWar+2 crossposts

China Clamps Down on Overseas Travel for AI Talent at Alibaba, DeepSeek

Big, if true. Doesn't bode well for research / OS models out of China.

ibtimes.sg
u/SE_to_NW — 1 month ago

AI Advancing CyberSecurity is a drain on the global economy.

We are on a treadmill of economic destructive behavior and we can't get off.

We are spending untold wealth on tokens to create problems (find new vulnerabilities, empower new attackers) and then fix those problems (detect the new attackers and fix the new vulnerabilities).

These problems existed, yes, but with AI we are exacerbating the scale of these problems.

We are 10xing the problems and their collective cost.

It will only get worse as the models become deeper and more effective.

What's worse, is this is the only thing that AI has so far proven to be good at.

It's like building a better Arsonist Flamethrower, burning down houses, and than putting out the fires with better fire engines. Neither of which was necessary until AI came along.

This is nothing but an inflationary drain on the economy, increasing the cost of doing business, with no end in sight and doing nothing to improve our standard of living.

The reverse, actually.

And there doesn't seem anything we can do to stop it from getting worse.

reddit.com
u/kaggleqrdl — 2 months ago

Growing CEO/staff wage ratios is probably the worst social illness imaginable and one can easily see how AI will exacerbate it - the concentration of power and wealth.

u/kaggleqrdl — 2 months ago