Back when I worked at AWS, I wrote a one page “press release” about this concept where the value add was the weight/power reduction of customer sats that could offload on board processing to the “Cloud above the Clouds”. There is a bottleneck with the down/uplink ground stations to do the on the ground processing.
The biggest problem folks had was even with equipment with 99.9% reliability something breaks every day due the huge raw number of devices involved. And most network equipment is not any where close to being radiation hardened.
I had some fun with it with Bezo’s fist bumping folks because SpaceX was cleaning BlueOrigin clock.
I talked to one of their lawyers and didn’t hear anything afterwards. I left AWS and a couple of years later Amazon announced AWS ground station. I wonder how much my paper contributed to green lighting that project.
Young me remembers fondly poking and peeking system memory locations to see what happens. The manual, if I remember right, had a table of memory locations to system settings. Things like font and background colors.
I made a “punch out like” boxing game in basic where the background color blocks was the opponent and the font lines was your character via poking memory locations.
It was slow but I was just a kid at the time. It definitely told me what I wanted to do for a living at an early age.
Exactly the same story with me. I got my VIC 20 when I was about 10, in the mid 80s, and that is how I learnt how to program and how I knew what I wanted to do as a career.
Add me to that list, though my Commodore machine was a PET 2000. In fact, I was young enough at first that all I could do was remove lines from other people's basic programs and see what happened. It all grew from there.
I probably started the same way. I remember spending forever typing in BASIC games from magazines and books from the local library. They never worked straight off, so a bit of "debugging" was usually required, i.e. spot the typos.
Interesting, did similar. But there was no information available to me about working on them for a living in the early 80s. Only the movie Wargames, which while cool didn’t seem like a realistic path, nor did it pay. Didn’t figure it out until a full decade later.
Maybe at 10 years old, I wasn't thinking much about working, but the VIC 20 started me on the programming path, with an IBM PC being our next home computer a few years later.
OpenAI and Microsoft have defined AGI as a revenue number so yeah maybe using that definition.
I believe AGI will require the ability to self tune its own Neutral network coefficients which the current tech cannot do because I can’t deduce it’s own errors. Oh sorry “hallucinations”. Developing brains learn from both pain and verbal feedback (no, not food!) etc.
It’s an interesting problem where just telling a LLM model it’s wrong is not enough to adjust Billions of parameters with.
I’ve been doing the same with GPT-OSS-120B and have been impressed.
Only gotcha is Claude code expects a 200k context window while that model max supports 130k or so. I have to do a /compress when it gets close. I’ll have to see if there is a way to set the max context window in CC.
Been pretty happy with the results so far as long as I keep the tasks small and self contained.
I've been making use of gpt-oss-120b extensively for a range of projects, commercial and price, because providers on OpenRouter make it essentially free and instant, and it's roughly as capable at o4-mini was in my experience.
That said, I'm a little surprised to hear you're having great success with it as a coding agent. It's "obviously" worse than the frontier models, and even they can making blindly dumb decisions pretty regularly. Maybe I should give it a shot.
The M-series unified memory is built into the chip itself, not separate components. Of course Apple is going to maintain their margins, but it’s easy to see why with this design more memory is more expensive than drams. Well maybe not with the current market pricing which hopefully is temporary.
Because it was really about serving red meat to the MAGA base. My relatives in Kentucky cheered because they believed the “all those lazy blacks are getting fired” narrative.
It’s so strange to me as they are deeply religious and some of the kindest folks I know, but also the most racist.
Religiosity, egomaniac libertarians, racists, etc. all suffer from an identity based cognitive bias revolving around their own or groups well being. These tribal members dont think critically about the $symbol related to their own or group identity, and the scary part is, these symbols could be anything and not just define their own ingroup but their opposing outgroup too, like eg. being vegetarian, riding a bicycle or showing broad empathy.
IMO in severe cases it requires serious therapy to teach them to face social media or group gatherings with a different/critical mindset, that naturally comes after some unpleasant disillusionment but is needed before mistakes are made. If your realtive is not treatable, completely shut, you will talk to a brick wall.
I hate to say it but Musk had a point, when he talked about twitter and his attempt "to cure the mind virus" (but as usual, he was clueless or biased). This identity based cognitive bias or identity politics is present on both political sides. The right/conservatives are just more susceptible, thats why religion, racism, libertarianism, etc. are often comorbid.
I agree that’s Zed is very nice but a ticking enshitiation time bomb.
However, you do see how this autocomplete “feature” and its whole copilot everywhere strategy, is about M$’s roi of its ai investment right?
So if you have a problem with VC money you should stop using VSCode as well.
Of course they will just invent more accounting terms, like they do with azure, to hide how much money they are losing on it.
> no it still doesn't work. Do I have to let OpenAI fix this or can you handle it?
I can definitely handle this. Let me try a completely different approach - …
reply