SystemsInCode
967 posts
SystemsInCode 已转推
Its funny that Chuck Norris has "Chuck Norris" jokes
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@adymitruk Equally what smci were doing lads of others will be doing and to big enough companies this is basicly a 'cost of doing business' that's acceptable..maybe buy the smci dip?
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Is there a tax I can pay to stop it or does that only work for heating?
All day Astronomy@forallcurious
🚨: Earth is tilting toward its next ice age in 10,000 years, new research reveals
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@dharh @richterich_ @ThePrimeagen I was really surprised when I found myself needing to install it recently
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@dharh @richterich_ @ThePrimeagen Irfanview still.being a thing is incredible. Its like thr simplest app in the world that just does its core thing really well, and is only needed because other apps overcomplicate things :)or miss some fole type.
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Honestly I’ve seen anons on this site vibecode better situation dashboards in a couple weeks
Bilawal Sidhu@bilawalsidhu
Probably the most current look at Palantir’s maven smart system software. Here’s the DoW’s Chief AI officer showing how it works:
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@edels0n Its a public good like water should be supplied at minimal cost
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1) Make people stupid
2) Charge them for intelligence
Chief Nerd@TheChiefNerd
🚨 SAM ALTMAN: “We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.”
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Bought a fantastic HP strix halo machine, its silent and powerful for llms: hp.com/us-en/workstat…
BUT unfortunately they can't make a robust power button. Weak plastic housing snapped after a few months :(
Still in warranty luckily.
@HPUK
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SystemsInCode 已转推
This is the largest model ever trained through decentralized compute/cooperation
It needs to win. If LLM training isn't decentralized soon we will have a very big problem
templar@tplr_ai
We just completed the largest decentralised LLM pre-training run in history: Covenant-72B. Permissionless, on Bittensor subnet 3. 72B parameters. ~1.1T tokens. Commodity internet. No centralized cluster. No whitelist. Anyone with GPUs could join or leave freely. 1/n
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100%
xAI needs an IDE code editor @elonmusk
Austen Allred@Austen
If I were them I’d get to partner like crazy and start working with xAI
Català
i hope they announce the Mac Studios M5 Ultra!
Tim Cook@tim_cook
A big week ahead. It all starts Monday morning! #AppleLaunch
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This Mac Studio M5 Ultra needs to drop soon.
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@BrendanEich So refreshing to hear a tech leader talk real like @BrendanEich ...never uninstalling Brave.
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MKUltra successors are sloppy Googlers.
Diligent Denizen 🇺🇸@DiligentDenizen
‼️🇺🇸: AUSTIN MASS SHOOTER TRENDED GOOGLE SEARCH IN FT HUACHUCA & DC WEEKS BEFORE ATTACK YESTERDAY 👀 "Ndiaga Diagne" VERY specific & unique name was trending from Google searches in the weeks leading up to the attack yesterday Does that mean our agencies ALLOWED this attack? 🤔
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@mattpocockuk Maybe userjourneys.md and implementationguide.md
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@SystemsInCode I find that the 'what' and the 'how' tend to bleed into each other
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A nice metaphor I've found for how to think about the inputs for multi-agent sessions:
SPEC.md - the destination
PLAN.md - the journey
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@MarioVerbelen @Sarthak4Alpha Is there any reference on this 'design pattern' and is there a known java implementation?
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Plain Go,
every data source is cached separately in memory and the business logic just collects pointers and hashmaps to render out personalised content. If the data is in cache we stay mostly below 0.2 milliseconds. I even have endpoints that stay below 0.05 ms.
When data changes we get a notification and a background process updates the cache. So we avoided a lot of db calls and we removed the bottle neck of a db. No joins or other tricks, just key/value with protobuf in postgress.
Moving the magic from selects to in memory is gold, moving pointers around for avoiding allocations and everyone is happy
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My api is faster than redis, adding redis will slow it down
We are not the same
Sarthak@Sarthak4Alpha
Your API is slow. Not because of Go. Not because of Python. Because you’re not using Redis.
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