Daniel Iversen

898 posts

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Daniel Iversen

Daniel Iversen

@daniel_iversen

Loves business, tech, innovation and the science of teamwork and productivity. Works at @asana (@dropbox, @oracle alumni).

Sydney, Australia 가입일 Kasım 2008
414 팔로잉494 팔로워
Daniel Iversen
Daniel Iversen@daniel_iversen·
@DarthPedro99 @cgtwts (made up example) if you can suddenly release products 20x faster ("50 releases in 52 days" or whatever it was) with 2x the people? Then you still double headcount.. Plus why not reduce risk with more people? it's a hot competition after all - a few more bums on seat won't matter
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Pedro Silva
Pedro Silva@DarthPedro99·
@cgtwts If Claude is doing all of the coding and designing it's next version, then why does Anthropic still employ hundreds of engineers? And has job postings for new engineers? 🤔 What is he paying those engineers to do?
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CG
CG@cgtwts·
Anthropic CEO: “ I have engineers within anthropic who don’t write any code, they just let Claude write the code and they edit it and look it over” “At anthropic writing code means designing the next version of Claude it self, so we essentially have Claude designing the next version of Claude itself, not completely but most of it”. In the last 52 days, the Claude team dropped 50+ major feature launches. This is literally INSANE.
Claude@claudeai

Your work tools in Claude are now available on mobile. Explore Figma designs, create Canva slides, check Amplitude dashboards, all from your phone. Give it a try: claude.com/download

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Daniel Iversen
Daniel Iversen@daniel_iversen·
It was fun to play with the Qwen3.5 LLM on low-end consumer hardware. Here’s how it tests (9b params, 4Q) on a Mac Mini M1 with 16GB RAM and it’s potentially quite acceptable with hardware acceleration (via MLX, also tested Ollama) and without thinking youtu.be/t5zi0DkRQno?si…
YouTube video
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Daniel Iversen
Daniel Iversen@daniel_iversen·
@BrianRoemmele @grok how noteworthy is this? how applicable is it in practice? how does it compare to alternatives on the same hardware? Anything else to know?
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
BOOM! Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It! In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon. The project (github.com/maderix/ANE) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now. Translation? Your desktop just became a hyper-efficient AI supercomputer. The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet. At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead. This is world-changing. For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs. No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints. Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle. The AI revolution just moved from billion-dollar data centers to your desk. WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner! We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here. The future isn’t coming. It’s already running on your Mac. Welcome to the Zero-Human Company era.
Brian Roemmele tweet media
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Daniel Iversen 리트윗함
Ulf Kristersson
Ulf Kristersson@SwedishPM·
Det är bara Danmark och Grönland som har rätt att bestämma i frågor som handlar om Danmark och Grönland. Sverige står fullt ut upp för vårt grannland.
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Daniel Iversen
Daniel Iversen@daniel_iversen·
No way should Denmark allow permanent US military personnel in the country on January 1st when their idiot at the top, @realDonaldTrump is still talking about making Greenland part of the US, please @Statsmin put an end to the madness!
Governor Jeff Landry@LAGovJeffLandry

Thank you @realDonaldTrump! It’s an honor to serve you in this volunteer position to make Greenland a part of the U.S. This in no way affects my position as Governor of Louisiana!

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Daniel Iversen
Daniel Iversen@daniel_iversen·
@viasocket I was really struggling with the signup! Couldn't do apple good a SQL or cloud flare error, then did manual, troubles with password regime, mobile verification and in the end the signup form simply refused to submit! Oh well!😮🤷
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Shanaka Anslem Perera ⚡
Shanaka Anslem Perera ⚡@shanaka86·
BREAKING: The $610 Billion AI Ponzi Scheme Just Collapsed Last night at 4pm EST, something unprecedented happened. Nvidia stock rallied 5% on earnings, then crashed into negative territory within 18 hours. Wall Street algorithms detected what humans couldn’t: the numbers don’t add up. Here’s what they found. Nvidia reported $33.4 billion in unpaid bills, up 89% in one year. Customers who bought chips haven’t paid for them yet. The average wait time for payment stretched from 46 days to 53 days. That extra week represents $10.4 billion that may never arrive. Meanwhile, Nvidia stockpiled $19.8 billion in unsold chips, up 32% in three months. But management claims demand is insane and supply is constrained. Both cannot be true. Either customers aren’t buying or they’re buying without cash. The cash flow tells the real story. Nvidia generated $14.5 billion in actual cash but reported $19.3 billion in profit. The gap is $4.8 billion. Healthy chip companies like TSMC and AMD convert over 95% of profits to cash. Nvidia converts 75%. That’s distress level. Here’s where it gets criminal. Nvidia gave $2 billion to xAI. xAI borrowed $12.5 billion to buy Nvidia chips. Microsoft gave OpenAI $13 billion. OpenAI committed $50 billion to buy Microsoft cloud. Microsoft ordered $100 billion in Nvidia chips for that cloud. Oracle gave OpenAI $300 billion in cloud credits. OpenAI ordered Nvidia chips for Oracle data centers. The same dollars circle through different companies and get counted as revenue multiple times. Nvidia books sales, but nobody actually pays. The bills age. The inventory piles up. The cash never comes. AI company CEOs admitted it themselves last week. Airbnb’s CEO called it vibe revenue. OpenAI burns $9.3 billion per year but makes $3.7 billion. That’s a $5.6 billion annual loss. The $157 billion valuation requires $3.1 trillion in future profits that MIT research shows 95% of AI projects will never generate. Peter Thiel sold $100 million in Nvidia on November 9. SoftBank dumped $5.8 billion on November 11. Michael Burry bought put options betting Nvidia crashes to $140 by March 2026. Bitcoin, which tracks AI speculation, dropped from $126,000 in October to $89,567 today. That’s a 29% crash. AI startups hold $26.8 billion in Bitcoin as collateral for loans. When Nvidia falls another 40%, those loans default, forcing $23 billion in Bitcoin sales, crashing crypto to $52,000. The timeline is now certain. February 2026, Nvidia reports fourth quarter and reveals how many bills aged past 60 days. March 2026, credit agencies downgrade. April 2026, the first restatement. The fraud that took 18 months to build unwinds in 90 days. Fair value for Nvidia: $71 per share. Current price: $186. The math is simple. This is the fastest moving financial fraud in history because algorithms detected it in real time. Human investors are 90 days behind.​​​​​​​​​​​​​​​​ Read the full data driven deep dive article here - open.substack.com/pub/shanakaans…
Shanaka Anslem Perera ⚡ tweet media
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Daniel Iversen
Daniel Iversen@daniel_iversen·
@naval That’s an analogy that doesn’t resonate well because most of the civilised world think encryption is good but that the Americans are quite insane for clinging onto the notion that it’s a good idea for everyone to be able to carry firearms
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Naval
Naval@naval·
Code is free speech and encryption is the right to bear arms.
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Daniel Iversen
Daniel Iversen@daniel_iversen·
@beffjezos … and they were maybe caught in their own reality distortion field and their teams didn’t stop them?
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Daniel Iversen
Daniel Iversen@daniel_iversen·
@Geiger_Capital Could someone be cherry-picking the month (August) to make a point? I.e. corporate income taxes;
Daniel Iversen tweet media
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Geiger Capital
Geiger Capital@Geiger_Capital·
In the month of August, the US Government collected $344 Billion. Just one problem… They spent $689 Billion. A $345 BILLION deficit. In one month.
Geiger Capital tweet media
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Daniel Iversen
Daniel Iversen@daniel_iversen·
@jesselyu Cool that it's possible and has gotten a lot of traction. And what's the big picture, or the "so what" for the longer term of users, the marketplace and/or rabbit inc. Jesse?
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Jesse Lyu
Jesse Lyu@jesselyu·
it is pretty wild to see our user made 5,000 creations within 6 days. i remember it took us a team of 7 people plus 3 months back in 2014 to design, build test and submit our first app to the app store. when a second grade kid can just talk to r1 and make bunch of his ideas into reality and testing it within minutes - this new wave of 'ideas from human, code by AI' is no doubt a generational/diagram shift that's happening right in front our eyes. this is the future.
Jesse Lyu tweet mediaJesse Lyu tweet media
yuheiasao@yuheiasao

rabbit r1がOSの大幅アップデート。AIとの音声対話で簡単なゲームが作れるように。小2息子が早速ゲームや勉強アプリを大量に作っててこれがAIネイティブ世代かと。

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- Elijah Muraoka -
- Elijah Muraoka -@elijahmuraoka_·
My Uber driver just reviewed and merged a PR while driving I swear this shit only happens in SF
- Elijah Muraoka - tweet media
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Daniel Iversen
Daniel Iversen@daniel_iversen·
.. and you should STOP calling that a “peace deal”, it’s weak and misleading
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Daniel Iversen
Daniel Iversen@daniel_iversen·
So @DavidSacks from @theallinpod you’re saying the US, EU and Ukraine should just accept that Russia has conquered part of Ukraine and cede some land to the Russians, call it a day and we move on from there. Are you for real?
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