We are living in the greatest 30 day time period in technology history
In the month of July all of these have been released/are expected to be released:
• Fable 5: smartest AI model ever
• Muse Spark 1.1: Meta back in the race
• Opus 5: affordable version of Fable
• Grok 4.5: affordable version of Opus + Elon’s back
• GPT 5.6: Affordable, lightning fast, better than Fable in some ways
• GPT 6: Goblin mode
• GPT Work: Amazing new way to work
The way you work 30 days from now will be dramatically different than the way you work today
You will be significantly more productive with significantly less effort required
Thank your God he/she decided you should be alive right now
🚨 OpenAI charges $0.006/minute. Google charges $0.024. AWS charges $0.024.
Someone just open sourced a tool that does it for $0. And it's faster than all of them.
It's called Insanely Fast Whisper. And that's not hype. That's the benchmark.
150 minutes of audio. 98 seconds to transcribe. On your own machine. No API key. No cloud. No per-minute billing.
Here's what the numbers look like:
→ Whisper Large v3 + Flash Attention 2: 150 min of audio in 98 seconds
→ Distil Whisper + Flash Attention 2: 150 min in 78 seconds
→ Standard Whisper without optimization: 31 minutes for the same job
→ That's a 19x speedup. Same model. Same accuracy. Just faster.
Here's what it does:
→ One command to transcribe any audio file or URL
→ Speaker diarization — knows WHO said WHAT
→ Transcription AND translation to other languages
→ Runs on NVIDIA GPUs and Mac (Apple Silicon)
→ Flash Attention 2 for maximum speed
→ Clean JSON output with timestamps
→ Works with every Whisper model variant
Here's the wildest part:
https://t.co/WfJGCpSz09 charges $100/year. Rev charges $1.50/minute. Descript charges $24/month. Enterprise transcription contracts cost thousands.
Podcasters, journalists, researchers, lawyers, content creators — anyone still paying for transcription is lighting money on fire.
8.8K GitHub stars. 633 forks. MIT License.
100% Open Source.
(Link in the comments)
Do you realize what this means?
Karpathy just released the great equalizer
Now ANYONE can become their own AI lab
If all you own is one GPU, you can automate it so it builds its own model and continuously improves it
You become a 1 man OpenAI
Just bought a 2nd DGX Spark so I can run double the experiments at once
For those unaware of how this works:
With Karpathy’s autoresearch project your GPU stays up all night running experiments on itself
Playing around with an open weights model
Implements experiments that improves the model
Throws away experiments that hurt the model
Continuously self improving AI. In your home. On your desk.
Maybe the biggest release in the last several years
It is so painfully obvious where this world is going
Those with their own hardware will have all the power. Self improving super intelligence
Those with no hardware will rent whatever the corporate labs decide to lease to them at the moment
Own. Your. Intelligence.
🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up.
Not sometimes. Not until the next update. Always. They proved it with math.
Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level.
And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth.
Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do.
The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing.
So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up.
OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product.
This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent.
Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?
🚨 Someone compiled every "build it from scratch" tutorial on the internet into one place.
It's called build-your-own-x and it's the most starred repo in GitHub history.
466,000 stars. More than React. More than TensorFlow. More than any tool ever built.
And it's not code. It's a curated collection of step-by-step tutorials that teach you how to rebuild the technologies you use every day. From scratch.
Richard Feynman said: "What I cannot create, I do not understand."
That's the entire philosophy.
Here's what's inside:
→ Build your own Database from B+Trees to a full Redis clone
→ Build your own Docker containers in 500 lines of C
→ Build your own Git finally understand what a commit actually is
→ Build your own Neural Network not import tensorflow, real backpropagation from scratch
→ Build your own Operating System write a kernel in C
→ Build your own Programming Language interpreters, compilers, garbage collection
→ Build your own 3D Renderer ray tracing, pixel by pixel
→ Build your own Web Server, Web Browser, Search Engine, Shell, Regex Engine, Game, Blockchain, BitTorrent Client, Physics Engine, and more
Every category has multiple tutorials in multiple languages. C, C++, Python, Go, Rust, JavaScript, Java, Ruby, Haskell, TypeScript, and more.
Here's the part most people miss:
This isn't a beginner resource. This is the most advanced learning material that exists for software engineers. Because rebuilding something from scratch forces you to confront every design decision the original creators made.
You can't skip anything. You can't hide behind a library.
In the age of AI-generated code, this is the knowledge that becomes MORE valuable, not less. AI can import libraries. AI cannot replace an engineer who understands WHY systems work the way they do.
466K stars. 43.7K forks. Every tutorial is free. No paywalls. No sign-ups.
The best way to learn how something works is to build it yourself.
100% free. 100% Open Source.
GitHub link in the comments 👇
We just passed React on GitHub stars. 🦞
Let that sink in. A personal AI assistant built by a lobster-obsessed Austrian and an army of crustacean enthusiasts just outstarred the library that powers half the internet.
We shipped 90+ changes today. They shipped a conference.
we're making @blocks smaller today. here's my note to the company.
####
today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone.
first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay.
we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.
i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures.
a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers.
we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold.
to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward.
to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow.
jack
@chiptoe@AlexFinn as per OP instructions: keep opus, GPT-5 as your brain. the local model is just a workhorse, no thinking about prompts, as prompts are internal.
Jack Dorsey just laid off half of his company in a single tweet. 4,000 people gone
Not because business is down
But because AI made them unnecessary
If you aren’t AI native, you have become expendable to execs.
You need to learn these skills now:
1. How to build software in Claude Code
2. How to automate in OpenClaw
3. How to create artifacts in Claude Cowork
4. How to orchestrate multiple agents in Codex
5. How to use ChatGPT as a copilot for everything you do
These aren’t optional skills anymore. They’re mandatory.
And the time you have left to learn them has quickly disappeared.
Introducing Perplexity Computer.
Computer unifies every current AI capability into one system.
It can research, design, code, deploy, and manage any project end-to-end.
The reason government programs are so inefficient is that, unlike a commercial company, the feedback loop for improvement is broken, because they have a state-mandated monopoly and can’t go out of business if customers are unhappy.
No matter how bad the service is at your DMV (sorry to pick on DMVs), you still have to use your DMV, because it’s a monopoly.
You cannot be a higher level thinker if you do not UNDERSTAND everyone, even people you disagree with.
Lower and mid-level thinkers hear beliefs they disagree with, and they say "I will never listen to this! Only I am right!"
Higher-level thinkers hear beliefs they disagree with, and they say "OK, so then what you want is [X Y Z] right? And that's because you feel [A] about [B]?" And only when they understand, THEN they respond.
You don't have to AGREE to be a higher level thinker. But you do have to UNDERSTAND.
The dumbest kind of person you can possibly be is the "I won't listen to new perspectives" kind.
🚨BREAKING: Over 3 million British patriots flood London's streets, waving red, white, and blue flags in a massive display of unity.
It’s happening, patriots have TAKE OVER LONDON.
Britain is officially fighting back.
Canadian Police Chief: “If you ever find yourself the victim of a home invasion, we are urging citizens not to take matters into your own hands... The best defense is to comply...”