All around the world, people are celebrating Blue Screen of Death Day.
This year's festivities, proudly sponsored by Crowdstrike and Microsoft, kicked off in the wee hours of the morning -- people from all corners of the globe simply could not wait to ring in BSOD Day 2024!
Below are pictures -- from airports and offices... to Times Square -- of how people chose to comemorate the day.
A "Code of Conduct Violation Backlog", a full on civil war with screams of "Trans Rights!" and "Free Palestine!", and their worst financial year since pre-Shaman.
Ads are filling the entirety of the Web -- websites, podcasts, YouTube videos, etc. -- at an increasing rate. Prices for those ad placements are plummeting. Consumers are desperate to use ad-blockers to make the web palatable. Google (and others) are desperate to break and block ad-blockers. All of which results in... more ads and lower pay for creators.
It's a fascinatingly annoying cycle. And there's only one viable way out of it.
A microsoft engineer created a 1 bit LLM, only plus and minus, multiplication, that runs fast on consumer grade AMD hardware.
It is constantly being updated and has an online demo.
The secret here is that the billions or parameters in the pretrained LLM are all 1, 0 or - 1. This reduces overhead by up to 80%. For simple tasks like web summaries, it will run well on a laptop without draining the battery or the wallet.
AGI, AGI — yadda yadda. I don’t do hype but I do evaluate the latest and greatest models from Anthropic and OpenAI when they come out. What do they do FOR ME? Not for benchmarks, but my real work.
I’m more than likely not someone whose work pushes the top models in a way that distinguishes their true new abilities. I’m not folding proteins or solving 100-year-old math problems. I’m also not trying to break into anybody else’s networks etc.
I had Fable 5.2 take a look at ALL of my work from the lens of: how do I turn this capability I’ve built into income (getting a job, running my own business, etc.). What is the strengths and weaknesses of what I’ve built as a platform. And more.
I found its output helpful. It was like getting a very experienced business developer, and AI architect giving me input to consider.
I then had it do a code review of my /Supervise skill and to evaluate the real use over the past 3 weeks. I’d spent all summer getting...
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A huge thank you to everyone who has already contributed (in both ways)! With your help, we are making LCOS into the best gosh darned system in all the land.
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