_bobm
Joined 6 years ago
Joined 6 years ago
Aren't shareholders interested in how RDDT is doing?
To me this is a valid signal.
you want edge inference, from decision to small models.
That's it. It will be 2c, please.
I think, sooner or later this data coupled to model capability will be exploited successfully and will cause an interesting point in human civilization as we know it.
At present, you are right, this is not the case -- the data is not exploited successfully and the models are lacking.
The difficulty comes from the novelty on the information level: we are building systems which fold and compund information. We are beginning to learn how to manipulate them.
There needn't be any time frame to any of this.
This is the most magical time in my adult life. The 70s, 80s, and 90s, look like a painting compared to the current pace of things. I am literally tired at the end of each day. Dog tired.
Great job OP. I mean. This is nuts.
- gpu market is starving, demand is higher than supply = leads to high gpu price
- number of openrouter shovel sellers rises = lower token prices
I think there might be (dare I say) a middle ground to get the productivity of the llm, esp as we evolve them, while still maintain a global and even fine-grain comprehension of a code base.
It is not a simple change, however, but a fundamental one.
Overall I think we are still living in the past and try to apply ourselves to the future. But if the ai craze is to be taken clear-headedly for what it is, it is a complete break from the von Neumann computer and all its resulting artifacts. So why should we use the same tools?
What the author I think is hinting at is not planning alone but "the development and evolution of any program and the state of this program throughout the planning, elaboration, and eventual runtime".
I chuckle at the thought that throwing an md file or a prompt at this problem is sufficient.
So, I posit that if we want any agentic code to evolve meaningfully in the short future and over the long run, we have to have a system which holds and presents this information, the state of a program, in a coherent manner to a human operator. No other way. No other way. And this I say to both nay and yay sayers.
You can argue also that this is part of an even bigger thing. But it is not part of the current discussion on planning and speccing in agentic systems.
OpenAI and anthropic can throw all the billions they don't have at this and adjacent issues, but if this is not solved then they don't have anything.
It is not clear what is the best position for the agent or in other words how colesly one wants to integrate with the terminal, shell, or multiplexer.
But over all it does show that maybe the future of agents is not huge blobs of semi-reingeneered multiplexers or see above, but a lean agent with a session stream for context.
great job, i will follow your progress.
Intel needs to innovate under constraints and, if history is to be reinterpreted, this won't end well for them. They need less management and to double-down on engineering and their lithography pipeline.