Christopher Sale

411 posts

Christopher Sale

Christopher Sale

@csalted

CEO at Super IT. Building AI agents for IT support. Software dev. Previously founder of Enee (IT MSP)

Adelaide, Australia Katılım Nisan 2009
1.8K Takip Edilen278 Takipçiler
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Christopher Sale
Christopher Sale@csalted·
So... some big news 🎉 My new start up raised our first round of funding from Antler! I'll share more about the startup publicly soon. But as a little teaser, I think we are going to shake up the IT managed services industry!
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Track & Field Gazette
Track & Field Gazette@TrackGazette·
18-year-old GOUT GOUT 🇦🇺 19.67s (1.7) over 200m at Australian Championships in Sydney!!🤯🤯 A new U20 World Record ☑️ National Record ☑️ First Australian man under 20 seconds ☑️ A star is born!
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Boyan Slat
Boyan Slat@BoyanSlat·
While our main focus at the moment is on scaling up our river systems, our work to clean up the Great Pacific Garbage Patch continues in parallel. Key is knowing where to sweep, as the patch is vast and very “patchy.” If we manage to accurately predict where the trash hotspots form, we can massively reduce the cost and time it takes to fully clean it up. Our idea is to use oceanographic modeling to get us roughly in the right areas, and then use drones to fine-tune the trajectories of the systems on a local scale. This summer, we’re returning to the patch for a six-week research trip to put all this to the test. This will be a key milestone toward making the Great Pacific Garbage Patch history.
Curiosity@CuriosityonX

This is incredible. This machine is capable of cleaning up 100 million kg of plastic ocean waste, and as of 2025, it has already collected about 500,000 kg of plastic. It aims to remove 90% of ocean plastic by 2040.

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Qwen
Qwen@Alibaba_Qwen·
🚀 Introducing the Qwen 3.5 Medium Model Series Qwen3.5-Flash · Qwen3.5-35B-A3B · Qwen3.5-122B-A10B · Qwen3.5-27B ✨ More intelligence, less compute. • Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507 and Qwen3-VL-235B-A22B — a reminder that better architecture, data quality, and RL can move intelligence forward, not just bigger parameter counts. • Qwen3.5-122B-A10B and 27B continue narrowing the gap between medium-sized and frontier models — especially in more complex agent scenarios. • Qwen3.5-Flash is the hosted production version aligned with 35B-A3B, featuring: – 1M context length by default – Official built-in tools 🔗 Hugging Face: huggingface.co/collections/Qw… 🔗 ModelScope: modelscope.cn/collections/Qw… 🔗 Qwen3.5-Flash API: modelstudio.console.alibabacloud.com/ap-southeast-1… Try in Qwen Chat 👇 Flash: chat.qwen.ai/?models=qwen3.… 27B: chat.qwen.ai/?models=qwen3.… 35B-A3B: chat.qwen.ai/?models=qwen3.… 122B-A10B: chat.qwen.ai/?models=qwen3.… Would love to hear what you build with it.
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Christopher Sale
Christopher Sale@csalted·
Omachy + Opencode honestly feels like I have superpowers. Once you are past the (very short) window of pain of getting used to a new OS and UX paradigm, the efficiency to work is next-level.
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Eric S. Raymond
Eric S. Raymond@esrtweet·
If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver. Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too. The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM. Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away. As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.
Tom Dale@tomdale

I don't know why this week became the tipping point, but nearly every software engineer I've talked to is experiencing some degree of mental health crisis.

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mRr3b00t
mRr3b00t@UK_Daniel_Card·
Tweeps, I wanted to make a thing to help people look at the security posture of a single PC device.... So I took claude for a spin and we have come up with this! This is not perfect. I made a tool like this many many many years ago in an HTA.... this one IMHO is better! github.com/mr-r3b00t/wind…
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Christopher Sale
Christopher Sale@csalted·
A LLM is a digital software artifact that can be copied and scaled, and is monetized by businesses for profit. Humans are humans. Isn't this an obviously clear distinction? What am I missing?
Paul Graham@paulg

@pr_tanner @NickKristof So would many humans.

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Paul Graham
Paul Graham@paulg·
The sweet spot for present-day AI seems to be projects that were constrained by the rate at which humans could produce text. That's why it works so well for programming. Basically programmers produced valuable text. But there are lots of other projects with this quality.
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Siqi Chen
Siqi Chen@blader·
it's really handy that wikipedia went and collated a detailed list of "signs of ai writing". so much so that you can just tell your LLM to ... not do that. i asked claude code to read that article, and create a skill to avoid all of them. enjoy: github.com/blader/humaniz…
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
This is HUGE!! It took a company able and willing to spend hundreds of millions of $$ to stand up to Apple and run an expensive lawsuit to prove that Apple is in the wrong mandating Apple in-app payments only Every and all app devs can thank Epic. Apple FINALLY has to compete!!
Tim Sweeney@TimSweeneyEpic

The 9th Circuit Court has confirmed: The Apple Tax is dead in the USA. Apple can require side-by-side placement of Apple payments and developer payments, as Fortnite does. And Apple can collect fees for actual costs of facilitating links and IP associated with links.

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Yishan
Yishan@yishan·
Well, this is the first novel contribution to the fertility-decline discourse I’ve see in a long time.
Object Zero@Object_Zero_

Birth Rate Collapse & Economic Utility of a Birth This is really weird, but I suspect it’s overlooked in socio-economic research literature. Below I present 2 zones on the same chart. The pink zone on the left chart shows the useful economic life of 1 human birth in the year 1851. The green zone on the right chart shows the useful economic life of 1 human birth in 2011. Now because of medical advances, sanitation, public health, etc, etc we have significantly improved life expectancy and reduced infant mortality. This means that a birth in 2011 has vastly more hours of economic output than a birth in 1851. Historic mortality rates really cut down the expected economic lifespan of a birth, but how much? The pink area on left = 40 years * 40% + ( 40 years * 30% )/2 = 22 years of economic work per birth (yikes!) The green area on the right = 51 years * 98% = 50 years of economic work per birth. These numbers are massively different. The expected working lifespan of a human at birth has increased by 127% over 160 years. Even though we work to approximately the same age. This means that in economic terms 1 birth in 2011 is worth 2.27 births in 1851. How does that gain in economic utility per birth compare to the collapse in volume of births? Today there are 2.31 births per woman worldwide. In 1850 there were 5.82 births per woman. 5.82/2.31=2.52 So we have 2.27x gain in utility per birth and a 2.52x fall in the volume of births? These ratios are within 10% of one another, they almost perfectly track inversely to give a fixed amount of ‘human economic utility birthed per woman’. I find this to be a staggering coincidence. Is the collapsing birth rate just supply and demand? Did longevity gains simply create a temporary oversupply of units of human utility? The population crisis might just be market forces. Or rather, it’s just macro-ecology.

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Christopher Sale
Christopher Sale@csalted·
If you're interested in learning more about what we are building in the IT services space, sign up to out waitlist here -> superit.ai
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Christopher Sale
Christopher Sale@csalted·
This isn't about LLMs being "better." It's about recognising they're a different kind of intelligence, optimised for different things. **The magic happens when you pair them correctly.** Understanding these differences is critical for building products that actually work
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Christopher Sale
Christopher Sale@csalted·
There is a narrow zone where current AI truly complements human ability. It's not always obvious where this is - and lots of people are struggling to understand and articulate it. 🧵
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