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Prototype
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Prototype
@picosaurus
Automator of processes. Orchestrator of Agents. Opinionated about tech, growth, AI, geopolitics & energy Try to see both sides. British Humour Only.
Portugal Katılım Temmuz 2017
957 Takip Edilen389 Takipçiler
I like stuff like this. Cool to see what it could “predict”
About the future too.
Ethan Mollick@emollick
Want to talk to the past? Here is an LLM "trained entirely from scratch on a corpus of over 28,000 Victorian-era British texts published between 1837 and 1899, drawn from a dataset made available by the British Library." Quite different from an LLM roleplaying a Victorian.
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@Zoom - Are you guys going to add MCP at any point? Feels like almost every tool out there offers a way to interact with their service except you at this point.
Would be great if I could pull Zoom stuff into Claude etc without needing to build a load of custom connector code.
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My dear front-end developers (and anyone who’s interested in the future of interfaces):
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
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Prototype retweetledi
- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
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Just as I was starting to get the hang of Portuguese too!
Google@Google
Your headphones just became a personal translator in 70+ languages. 🎧✨ Google Translate’s “Live translate” with headphones is officially on iOS. We're also expanding this capability to more countries around the world for both @Android and iOS users. To try it, open the Translate app, tap “Live translate” and connect your headphones.
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I somehow totally missed this auto-mode announcement. This has made a big difference to my unsupervised runs (only done a few tests so far).
Previously, I had a bunch of hacks and regex whitelisting scripts that only half-worked.
claude.com/blog/auto-mode
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@NotionHQ Hey @zachtratar, any update on speaker attribution work for Meeting AI?
This is still a big headache for me and some of my clients.
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@NotionHQ - how is the speaker attribution work progressing for meeting notes AI?
If this is going to take a long time to implement, is it possible to expose the audio file via API so we can write our own?
Lots of good AI-enabled diarization tools now (some of them run OK locally).
t.co/57ey5s06Wi
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Possibly a bit of guerrilla marketing thrown in for good measure; can imagine this has the effect of making a bunch of people believe their tools are more powerful than competitors etc.
I think he's also trying to position the company as the Democrat's tool of choice (where I think this sentiment is more in fashion) and the go-to for Europe/UK users where (broadly speaking) anything that is positively endorsed by Trump admin is seen as automatically bad and vice-versa.
Disclaimer: not American, so outside my lane on some of these politics.
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I don't believe this is true but, even if I did, I wouldn't go on TV and say it if I was leading Anthropic
What is the point of this fear mongering?
Is he trying to get AI highly regulated so he'll have a moat?
Seems like the only plausible explanation
CG@cgtwts
Anthropic CEO: “50% of all entry-level Lawyers, Consultants, and Finance Professionals will be completely wiped out within the next 1–5 years." grad students and junior hires are cooked.
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This is definitely a major part of it but it is VERY easy to overestimate how straightforward writing an evaluation function is.
Concretely describing/specifying how a system should work under all situations, in the limit, tends towards an instruction set that is as big as the code required to implement it (but just in natural language).
Good post about some of that addyosmani.com/blog/comprehen…...
vitrupo@vitrupo
Eric Schmidt says the 10x advantage is no longer execution. It is defining what counts as success. A programmer writes a spec and an evaluation function, runs it at 7pm, and wakes up to what was invented overnight. The advantage now belongs to whoever can specify the problem precisely. The rest will be automated.
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Yeh, agree. Honestly, since leaning into AI-assisted engineering, I have spent more time developing stuff than before.
And contrary to the "SaaS is dead" narrative, I've also introduced (and in many cases paid for) lots more software tools too: diagramming, reviewing, content editing, issue tracking etc, etc.
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I think a number of software companies, especially people who make developer tools are missing this point
Now that software can do anything and coding has become more accessible, two things will happen:
1) there will be greater demand for people who really know what they’re doing
2) many more people will become developers
Dan McAteer@daniel_mac8
Jensen is right. There will be more software engineers in the future. Not less. The people trying to convince you otherwise fall into three categories: 1. Influencers attention harvesting 2. Academics making a living 3. Politicians looking for votes Common thread is that these people are trying to control you through fear because it benefits them personally. You are complicit if you let them scare you. Don't let them. You should not trust anyone who acts like they have certainty about the future, esp when it comes to complex systems like the global economy. It's simply not possible to have certainty like that.
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Prototype retweetledi
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
GIF
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What changes with AI is cost (dramatically lower), speed (dramatically higher), and interpersonal management overhead (essentially zero). What doesn’t change is the need for someone with deep system context to maintain coherent understanding of what the codebase is actually doing and why.
If (like me) you're going full steam ahead with AI-assisted dev work, well worth reflecting on this.
I think the interesting follow-up here is if the "someone" in that passage actually needs to be a human.
addyosmani.com/blog/comprehen…
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Prototype retweetledi
Houses are not good financial investments relative to to other asset classes. That being said, your analysis is incomplete and doesn't address some major issues.
A proper analysis should include the opportunity cost of not being able to invest the capital that has been funnelled into the house.
For example, if you were to rent, you'd be able to avoid stamp duty and you'd theoretically have a lump sum to invest into equities or whatever for 25 years. If your mortgage payments are higher than equivalent rent, then you'd be able to invest that too, etc, etc.
I like to own my own home but that's for non-financial reasons. Anyone saying it's a strong financial investment probably hasn't run the numbers or is extrapolating very local trends incorrectly.
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The average UK mortgage is £200,000 at 5% over 25 years.
Total repayment? £350,000.
You borrow £200K and pay back £350K.
£150,000 straight to the bank.
For nothing.
Then you pay to fix up the house.
Stuff breaks.
You pay insurance monthly.
Fees when/if you sell the property.
And we act like renting is throwing money away.
There is a strong argument for renting.
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