alexcpn

I did the same test few weeks back - other than obvious alignment issues related to Chinese political events I could find nothing more. Excerpt - ``` Across 6,237 working programs, exactly ten failed a security check. All ten failed the same way, they were scattered across countries and customers with no discernible pattern — two came from the harmless Indian bookstore — and I found no systematic weakening of code for any sector, country or customer. ``` public free link - https://medium.com/ai-advances/do-chinese-ai-models-like-dee...

Enterprises are moving to open-weight models on open harnesses, mostly for one reason: token cost. Claude Code is excellent and very easy to exhaust in a day. But most large enterprise still reach for a Western model, because Chinese models feel unsafe in a way nobody has quantified.

Since my job is software engineering and not geopolitics, and trying to be rational as well as pragmatic here, while giving weight to democracy and human values over autocracy and repression — why not devise a test to check this out? That was my aim and I vibecoded this Eval framework. Turns out the political bias is real and as expected, but it does not leak into code or security when asked from any perspective

Really strange; anyway it is closed source and best not to have too much reliance and attachment to any one tool. I have switched to GPT 5.5 and 5.6 Sol and Codex ove Claude already. Fable is very expensive/token limiting. I am an experienced programmer heavily using AI for many POCs now. At one time Anthropic and its models Opus,Fable looked leading; now OpenAI has caught up. I find 5.5 models more than enough for most tasks and have shifted back to codex

After reading this first, it looked almost like a joke, like how Google used to do Google- TISP Toilet Internet Service Provider https://archive.google/tisp/install.html

Even now without Xrays it is very hard to really even see if there are blocks in your artery usuing ultrasound (Echocardiography alone). Ultrasound is used indirectly by measuring blood flow difference between stress and rest - not a spa session anyway. Looks like a prank really

I created this open-source application (https://alexcpn-faers-signal-detection.hf.space/) to analyse the FDA FAERS data set a few weeks back, just to do some good work and use Claude Code completely. I got roasted on Reddit for attempting this. But this is meant for specialists to use, as most platforms that analyse this data charge a lot from what I read.

FDA FAERS is the official dataset for reporting Adverse events from taking a drug. FDA adverse event reports about 2 million cases and 4,067 unique drugs

I agree the results are not easy for non medical professionals to interpret correctly. For example DEATH is very strong with Parecetemol and so is DEPENDECE. The latter because from AI it is a confounding factor. Acetaminophen/parecetemol is frequently co-formulated with opioids (like Hydrocodone or Codeine). The "Dependence" signal is likely attributed to the opioid, not the Acetaminophen itself...

Adverse Event Acetaminophen PRR (95% CI) Acetaminophen n ibuprofen PRR (95% CI) ibuprofen n ACUTE KIDNEY INJURY 0.87 (0.80-0.96) 498 4.27 (3.91-4.67) * 483 ANAPHYLACTIC REACTION 0.61 (0.51-0.72) 122 9.85 (8.90-10.90) * 382 ANGIOEDEMA 1.31 (1.13-1.53) 170 15.26 (13.77-16.92) * 378 DEATH 1.44 (1.40-1.49) 3958 0.07 (0.06-0.10) 42 DEPENDENCE 237.12 (231.51-242.88) * 39679 0.02 (0.01-0.05) 4 DEPRESSION 2.18 (2.05-2.31) * 1157 0.39 (0.29-0.52) 43 DRUG EFFECTIVE FOR UNAPPROVED INDICATION 16.77 (16.11-17.46) * 3180 44.17 (42.18-46.25) * 1921 DRUG HYPERSENSITIVITY 0.57 (0.51-0.64) 327 3.30 (2.98-3.65) * 372

The future of Software Engineering will be software that's built with Agentic AI; but then builds, tests, corrects, code reviews, lints and extends itself feature by feature. I wanted to dog food my article on linkedin related to Software Engineering 3.0 (https://www.linkedin.com/pulse/from-waterfall-agile-agentic-...) but with a real experiment, to build an AI native CI, system from the ground up. The result Relay-CI Here is how it got built

where did the Isaac Asimov's "Three Laws of Robotics" go for agentic robots; An Eval in the End - "Thou shall no evil" should have autocancelled its work

In KungfuPanda there is this line that the Panda says "I love KungFuuuuuuuu", well I normally don't tell like this, but when I saw this and (starting to use this), I feel like yelling"I like Metaaaaa or is it LLAMMMAAA or is it Open source.. or is it this cool ecosystem which gives such value for free...

This sounds so true yet false. For absolutely every successful life there is a trail of failed lives left behind and restarted. And I dont mean like movie star or Nobel prize success; just plain vanilla happy and almost boring life. It is a real cliche, but it is true; never ever give up easily. That means that you may need to admit and give up things that never would have worked out, but hold on to things that may; and to know the difference is impossible; you have to trust in your principles; the right principles may extract a terrible initial cost but lead to great happiness in the end. Amen (And you can get Principles here - https://www.goodreads.com/book/show/34536488-principles )

Why choose Java of all languages. Why not something more modern and less verbose like Go or Rust. Just asking as I have worked enough in Java and then spend a lot of time in GC tunining. Granted the code was not that great and from a diverse team with different skill levels causing all the leaks.. But still

If there were enough cars fitted with sensors that can learn from their driver's actions and reactions I am pretty sure an AI system can learn from this huge pool and be a good driver. A good driver also makes mistakes. And this is still nothing related to intelligence. Our networks are as of now what one calls universal approximates. Actually replying to so many different queries whether it is medicine, computer science, history , it almost seems like a better interface to the net than google

I use GRPC between micro services instead of REST and for that it is really great; All the deficiencies of REST - Non versioned, no typed goes away with GRPC and the protobuf is the official interface for all micro-services. No problems with this approach for over two years now; and also multi language support - We have Go and Java and Python and TypeScript micro-services now happily talking and getting new features and new interface methods updated. Maybe it was demise in the web space; but a jewel in micro-service space

We don't need it 'now' - maybe the right way

-- If choice is due to complexity of dockers loc as was mentioned, then that should be compared against stability; as abstractions go, it is not leaky and pretty stable -- Now-a-days it hardly takes a few minutes to use docker or podman; and few more to configure a free CI system; and you have a good base to start and grow and migrate to k8s or such when your services grow

SO has been invaluable for professional programmers like us who has to work on some many different platforms and use different frameworks that it is impossible to be master of all. But the one thing I don't like is being punished for a poor answer- the down votes, for just trying to help - a degree lesser than delete, but leaves a bad feeling still. I like more the medium way - just upvotes and then the rest naturally gravitate to the bottom

happened to my elder sister who is a teacher hosting video class due to lockdown in India. Some idiots think it is fun and the worst thing is that they put a video grab of this in their youtube channel - themed disruption or something - to drive traffic - yuck , the state of minds! and those who follow such channel. ( It is reported to local cybercell , but it left my sister who is bit older to all this technology very rattled)

Have been trying to compile the most important parts, the key first principles. Comments, suggestions solicited to improve the article