pytlicek

And what? IDK about BOB that is available for IBM customers, but closed source? As someone wrote in different thread is based on VScode, calling BOB's API. Also do you know how chatgpt works? same for claude? Agents? Governance? You know nothing and now just hating here :)

rlly? cs it is IMHO based on anthropic / openai models. Perhaps they identified BFU and gave you some

Also copilot and MS365 copilot, many local models etc... Many haters (companies, etc...) can only dream about availability of models we usually have here.

I think this is it ^^^ Routing and optimizations :)

No

No no no :) They want(ed) just change :)

Not exactly like that, but something similar :)

No, you are wrong. IBMer here. I was at first agains it, my background is for 2 decades startup(s) before I joined IBM, and I started slowly using IBM Bob and I must say it is really good and helping. With many integrations that works :)

I have similar project like this: https://hostbeat.info/ More like t uptime robot and sure, I was really surprised yesterday how many alerts I have got and how many notifications were sent yesterday for this system users. Good work anyway

I built https://milliondollarllm.com, a pixel-style public board inspired by the old “Million Dollar Homepage,” but focused on LLM and AI projects.

The idea:

Companies can pay for space for their LLM/AI product (1 USD = 1 pixel) and get a logo + link on the public board.

Each paying “sponsor” can choose one free/open project to endorse publicly.

Free projects get a small logo and description for free, and can be highlighted via a sponsor endorsement.

The goal is to make a simple, transparent way for companies to get a bit of visibility for their LLM/AI products, and at the same time, shine some light on smaller or open projects that deserve attention.

:) Oh, this is neat! Python 3.12.0 has brought some cool features to the table. I'm particularly keen on the flexible f-string parsing and the performance improvements. The new type annotation syntax for generic classes is a nice touch too. It's always good to see Python getting refined with each release. Looking forward to exploring these new additions...

Robots.txt Analysis for GPT Bots API running here: https://dataguard.hostbeat.info/

Ivy is both an ML transpiler and a framework, currently supporting JAX, TensorFlow, PyTorch and Numpy.

Ivy unifies all ML frameworks enabling you not only to write code that can be used with any of these frameworks as the backend, but also to convert any function, model or library written in any of them to your preferred framework!

I find myself in a bit of a quandary over the upcoming Nintendo Switch release slated for this fall. Having navigated my way from the Switch Lite to the standard Switch, and now being confronted with the OLED model, I can't help but feel a sense of continuity, rather than any groundbreaking advancement. I revel in the games, no doubt about it, but the purported 'improvements' haven't sparked any significant eureka moments for me. Each upgrade has cost me an additional 100-150 euros, yet the experience, albeit slightly enhanced, doesn't seem to justify the price tag. I'm left questioning, is the elusive "it's better" worth it? What are your thoughts, fellow gamers?

Nice article! Thank you Martin :) I didn't know about Date and Time Formatting or Nested F-Strings.

Maybe a SW upgrade by Elon / Tesla will suffice :)

def power_up(battery_pover_in): voltage_in = abs(battery_pover_in) voltage_up = battery_pover_in * 1.5 return voltage_up

Veery old Kindle keyboard, but Santa will bring me Kindle Paperwhite 5. I like it a lot, easy to manipulate, battery life, ecosystem around ebooks. Works always and as expected.

Sometimes. But a lot of people around me - yes.

Under twitter post people write nice answers, best wishes, stories, & support for her to see.

Thank you very much Ewa, for the wonderful work you have done at Python Software Foundation and for the whole Python community. Best wishes on your new projects and I wish you the best for your future :)

I created this package because I needed to turn on and off some features on my personal projects. I mainly use it in GeoSearch.dev, where I can control the flow of matching engine at runtime. I don't think anyone needs to explain how feature flags work.

I already use the package in production, but there is still room for improvement. I hope you will like it.