I read
Still trying to figure out the boundaries of these tools' strengths without outsourcing important thinking, problem-solving, and the collective building-up of a mental model of the systems we're developing.
The shape of LLM tools as toolsโfit for a purpose, ergonomicโis becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.
Any conversation
signals. thinking about shifting my mental framework to identify signals instead of waiting for concepts to be assembled. exploring the amount of energy and opportunities for distractions through the operations of processing what just happened and what is happening to short circuit latent and unnecessary systems. cut through the assembly processes and identify the raw signals. recognizing that naming these "raw signals" is misleading. maybe, shifting observability lower in the stack.
New in agenttop.dev : panels open in your . ๐คนโโ๏ธ
โข Any panel can now split into its own pane, live, beside the table.
โข Works with all the popular multiplexers: , , ๐ฎ๐ป๐ฑ ๐ธ๐ถ๐๐๐.
โข run a panel on its own: agent-top mcp, agent-top slow, agent-top fails, agent-top advice.
โ The # MCP panel also lists the orphaned MCP processes that outlived their agent and are still eating memory.
I've been on a kick lately of trying to visualize the oscillating clock, and ultimately the effectively arbitrarily complex activity of a computer processor, as modern refinements of the line shaft factory of the 19th century. Of compute as being not much more than profoundly refined "work" delivered by the electrical grid into marvelously complex machines.
Does that, as a metaphor at least, feel as important to you as it has to me of late? We spend so much time in a world abstracted.
mandelbrot
for y in range(10):
s=''
for x in range(25):
a=[]
for q in range(2):
z=c=x/25*3-2+1j*((y*2+q)/10-1);n=40
while n and abs(z)<2:z=z*z+c;n-=1
a+=[n<5]
s+=" โโโ"[a[0]+2*a[1]]
print(s)
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โโโ โโโโโโโโโ
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โ โโโโ
โโ
