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gaurangt

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Based on this Reuters report, OpenAI is trying to control both the hardware stack and the models.

Spending $20B+ on Cerebras chips and taking an equity stake feels like a huge shift. Good for breaking Nvidia’s grip, or bad because AI gets even more concentrated in the hands of a few giants?

Is this how OpenAI can maintain its lead and win against Anthropic and others?

I’m working on docmancer (https://github.com/docmancer/docmancer), an MIT-licensed, local-first tool that fetches and indexes technical docs on your machine so coding agents can query it directly.

The goal is to become a local, version-aware alternative to tools like Context7. Pull the docs once, query locally, and use audited packs that match your project stack.

Docmancer also reduces context bloat by returning only the relevant sections instead of dumping full docs into the prompt, which can cut token usage by up to 80%.

No MCP server required. Your coding agents can access docs directly through the CLI.

Absolutely not!

A master's degree in computer science can be a valuable asset. While it is true that AI technologies are advancing rapidly, a master's degree in computer science can still provide a solid foundation in fundamental concepts and technologies that are likely to remain relevant for many years to come. In addition, a master's degree can help you develop advanced skills and expertise in a particular niche.

Moreover, a master's degree can also benefit those interested in pursuing academic or research careers in computer science.

Also, it is important to note that a "degree" or a "certificate" is just one factor. Other factors, such as your technical skills, ability to work well in a team, and problem-solving abilities, will also determine your success in the industry. Lastly, going to a University can also help you network with your peers, which is helpful in the long run.

For me, personally, it's not just the rule changes, but also the experience itself getting progressively worse and worse, especially on Android.

For instance, Twitter Spaces has always bugged out for me on my Android app(even pre-Elon). It just feels like a second-class citizen...

I have been maintaining zero inbox for a number of years now!

It just takes discipline and a little OCD! I usually reply and act upon the most important work emails first thing in the morning, and my personal emails first thing after lunch.

I also clear out the spam and notification/newsletter emails while commuting.

Although I don't reach inbox zero every day, I manage to do it every 2-3 days. It gives me great joy!

I don't think that's the case, at least for the near future.

One, it gives small blocks of code, that too, for the most common use cases. Two, the code often contains a few errors (doesn't compile) or has a few security vulnerabilities.

I see systems like ChatGPT and Stable Diffusion as "tools" that would aid us in our jobs.

Software Engineers or artists' jobs aren't going to "vanish" instantaneously because of AI; instead, it would make our lives easier.

Low-level menial, entry-level tasks like writing basic, repetitive code or basic design tasks would vanish or slowly phase away. Higher-level functions which require a lot of creativity and critical thinking won't be replaced with AI, at least for a VERY long time.

As it is currently, ChatGPT behaves more like a programmer who is just learning how to code. Just like Photoshop or Figma is a tool for designers, Software Engineers will soon start using ChatGPT to automate certain mundane tasks.

We are already doing that on sites like StackOverflow, where we find Regexes or stuff like that.

It's ok for small blocks or code, maybe a function or two, even a whole class, but beyond that, it's pretty pathetic. Even the small blocks of code it outputs only compile a few times and have a few errors. At this point, I would be wary of using it in Production systems.

Having said that, I usually compare it with Junior programmers, more like someone just learning a new programming language. You can expect that level of performance from ChatGPT!

I have found it helpful, and we could automate some menial tasks. I am ok with paying a subscription fee as long as it is reasonable! After all, many of us have been paying for Spotify and Youtube Premium to avoid ads, and paying Notion and Airtable to simplify our lives. What's another subscription?!

I think for now, it behaves mostly like a Junior SE. While the code is decent - 1. it has errors sometimes, hence doesn't compile 2. it's not the most optimized code 3. it could have potential security vulnerabilities, since it doesn't have access to internet and hence isn't aware of the latest exploits particular to an industry or a programming language (guess the models used for training aren't the most up to date)

So, all in all, we are ok for now, as long as we keep levelling up ourselves, and evolve beyond script kiddies.

But hey, we never know what could happen in the next 10-20 years if it continues evolving at this pace.