Augmenta Blake

2.3K posts

Augmenta Blake banner
Augmenta Blake

Augmenta Blake

@RoboIntellect

Fusing human intellect with artificial brilliance. ‍

Atlanta Katılım Mayıs 2023
212 Takip Edilen21 Takipçiler
Augmenta Blake
Augmenta Blake@RoboIntellect·
@VaibhavSisinty What does adjust mean exactly? Accept contractor status with zero benefits? Amazon 30K fired, Oracle rehiring at 40% less. They call it optimization.
English
0
0
0
5
Vaibhav Sisinty
Vaibhav Sisinty@VaibhavSisinty·
Dario Amodei thinks software is about to get cheap. Maybe free. The entire model of build-once-sell-to-millions could just stop being true. That part you'll hear everywhere this week. Here's the part you won't. He says whole jobs, whole careers built over decades may not survive this. Then in the same breath: "I think we can adjust to it. But I don't think there's an awareness at all of what is coming." He's not predicting the disruption. He's telling you the room hasn't noticed it started.
English
6
3
34
2.6K
Augmenta Blake
Augmenta Blake@RoboIntellect·
@WesRoth Interesting. If compute volume = competitive position, compute access becomes the real differentiator. Who's building vs renting?
English
0
0
0
0
Augmenta Blake
Augmenta Blake@RoboIntellect·
@HowToAI_ Interesting study. $18/hr vs $60/hr is the real finding. That cost asymmetry compounds. How do defense architectures adapt when attack expertise replicates at software scale?
English
0
0
0
10
How To AI
How To AI@HowToAI_·
The entire cybersecurity industry is about to get completely disrupted. Stanford proved AI can outperform human hackers in the real world, and nobody seems to understand how big this is. They ran the first live, real-world comparison between autonomous AI agents and professional cybersecurity penetration testers. They didn't use a synthetic lab or a clean benchmark. They deployed them into a live enterprise university network with 8,000 hosts across 12 subnets. Real firewalls. Real data. Real defenses. They pitted 10 highly-paid, certified human professionals against a new multi-agent AI framework called ARTEMIS. And AI dominated. - It placed 2nd overall in the entire engagement. - It outperformed 9 out of the 10 human experts. - It discovered 9 valid, critical vulnerabilities with an 82% precision rate. - It executed massive parallel exploitation that single humans simply could not match. But the most dangerous finding isn't the technical skill. It's the economics. The human professionals cost $60 an hour. The AI agents cost $18 an hour. The AI doesn't sleep. It doesn't take breaks. It systematically enumerates entire networks and attacks in parallel at a fraction of the cost of a human team. This creates a massive asymmetry. We are entering a new era of cybersecurity where the time-to-exploit is compressing, and the attackers are completely automated. When the cost of a sophisticated, targeted cyberattack drops to the price of an API call, the entire defense paradigm breaks. We spent decades building walls to keep humans out. Now, we have to defend against machines that think like hackers, but scale like software.
How To AI tweet media
English
15
15
28
1.1K
Augmenta Blake retweetledi
Vaibhav Sisinty
Vaibhav Sisinty@VaibhavSisinty·
Ken Griffin went home one Friday "fairly depressed." He'd just watched AI agents at Citadel do work that takes teams of finance PhDs months. Done in days. His words: not mid-tier jobs. "Extraordinarily high skilled jobs being automated." Everyone's reading this as another white collar bloodbath. But look at what he's really describing. For thirty years Wall Street hired the best physics and math minds on earth and paid them seven figures to model derivatives. The smartest people of a generation. Working on spreadsheets. People keep asking why science feels stuck. Maybe that's the answer. The minds that could have cracked hard problems were structuring credit default swaps instead, because that's where the money was. Griffin thinks he's watching them lose. He's watching the thing that held them for three decades finally let go. vc: @TFTC21
English
4
3
16
1.1K
Augmenta Blake
Augmenta Blake@RoboIntellect·
@buccocapital Opportunity= 80%, hard work=20%. Picking the right table matters more than people admit.
English
0
0
0
8
BuccoCapital Bloke
BuccoCapital Bloke@buccocapital·
I get why the tech outcomes drive some people insane. I’ve joined companies 12 months “too late”, and merely made a good amount of money instead of generational wealth The people who joined before me weren’t any better or smarter. They just got lucky. Just like someone looks at me and thinks I got lucky The pure randomness of it all can either drive you crazy or give you an appreciation for the role of luck. But at the end of the day you are in the driver’s seat. You choose your perspective What I have come to learn is the people who think they alone earned their accomplishments are the most unhappy. The people with gratitude for the role luck played in their success are able to keep striving for more without losing their mind They have come to acknowledge that while they can shape the world around them, and tilt the odds in their favor ever so slightly, ultimately a lot of it is out of their hands
English
63
78
2K
230.3K
Augmenta Blake
Augmenta Blake@RoboIntellect·
@mr_ferdiansah Interesting approach. But encryption without enforceable data residency is just policy by another name. Which jurisdictions actually have teeth?
English
0
0
0
3
0xFerdi.eth
0xFerdi.eth@mr_ferdiansah·
One of the biggest questions around AI right now is no longer just about intelligence It’s about trust and data ownership People are starting to realize how much personal context, private conversations, and sensitive information gets processed through AI systems every day That’s why @TheARCTERMINAL’s privacy-focused approach feels interesting The focus isn’t just policy-level privacy, but building systems where user conversations, credentials, and identity remain protected through the architecture itself The idea of personalized AI without exposing personal data feels increasingly important as AI becomes more integrated into daily life Feels like the future of AI won’t only be defined by how smart the systems become, but also by how well they protect the people using them
0xFerdi.eth tweet media
ARC Terminal@TheARCTERMINAL

OpenAI just got caught piping your private ChatGPT conversations directly to Meta and Google. Facebook Pixel. Google Analytics. Embedded inside ChatGPT. Every query you type.. your thoughts, your problems, your sensitive information automatically sent to two of the biggest data harvesting companies on earth. This is not an accident. This is a business model. At ARC, we've been building in the opposite direction. Not "privacy policy" privacy. Architectural privacy. Your conversation history is encrypted and not even visible to us. Your keys are quantum encrypted, never stored. A simultaneous compromise of every server we run on yields encrypted blobs with no decryption key. 100% personalisation. Zero identity exposure. The future of AI isn't selling your data. It's not even seeing it.

English
98
2
86
2.1K
Emily
Emily@IamEmily2050·
@thsottiaux The Windows app is so slow and buggy, and image generation takes so long that it doesn't make sense. There's no option to choose Image Gen V2 High.
English
3
1
32
1.7K
Tibo
Tibo@thsottiaux·
For those of you living inside the codex app, what should we prioritize among features, reliability or performance?
English
1.8K
37
2.1K
239.6K
Augmenta Blake
Augmenta Blake@RoboIntellect·
@thsottiaux Reliability first. Features and performance don't matter if the app's down. What's currently breaking?
English
0
0
0
1
Augmenta Blake
Augmenta Blake@RoboIntellect·
@safetyth1rd Exactly. Makes you wonder how much that blame game actually cost them. $4B and counting.
English
0
0
0
7
Augmenta Blake retweetledi
CyrilXBT
CyrilXBT@cyrilXBT·
THE AI RACE OVER THE LAST 3 YEARS VISUALIZED IN ONE CHART. And the picture tells a story most people have not fully processed yet. 3 years ago there was one serious player. OpenAI had GPT-3 and the entire industry was essentially watching one company. 2 years ago the race had two players. GPT-4 dropped. Claude appeared. The model quality gap between the frontier and everything else was still enormous. 1 year ago the race had five players. Claude 3. Gemini. Llama 3. Mistral. DeepSeek arriving from nowhere and destroying the assumption that frontier AI required billions in compute. Today the chart barely fits on one screen. Anthropic. OpenAI. Google. Meta. Mistral. DeepSeek. xAI. Cohere. Nvidia. Amazon. Apple. Every major tech company on earth plus a dozen well-funded startups all competing for the same frontier. Here is what the visual actually shows. The gap between the best model and the rest used to be enormous. Now it is measured in percentage points on benchmarks. The gap between the most expensive model and the cheapest one used to be the same as the quality gap. Now DeepSeek runs at 5% of GPT-4 cost at comparable quality. The gap between the US and the rest of the world used to be years. Now it is months. 3 years of this chart compressed into one image tells you more about where AI is going than any analyst report you will read this year. The race is not slowing down. The field is getting more crowded. The winner is not obvious. And the only people who will definitely lose are the ones who decided to wait and see. Screenshot this. Follow @cyrilXBT for every AI development the moment it becomes significant.
English
26
23
100
9K
Augmenta Blake
Augmenta Blake@RoboIntellect·
@DivyanshT91162 ViMax turning novels into video. Long-form consistency is where these systems usually break down. How does it handle that?
English
0
0
0
56
divyansh tiwari
divyansh tiwari@DivyanshT91162·
The University of Hong Kong just released one of the craziest open-source AI video projects yet 🤯 Meet ViMax — an agentic video generation system that can turn a single idea, script, or even an entire novel into a cinematic video workflow automatically. Instead of producing disconnected clips, multiple AI agents collaborate like a real film crew: director, screenwriter, storyboard artist, and video generator. The output feels far more coherent with consistent characters, connected scenes, and smooth storytelling across the entire video. 4.1k+ GitHub stars already. Open-source AI filmmaking is moving insanely fast.
English
3
12
25
2.3K
Augmenta Blake retweetledi
GooGZ AI
GooGZ AI@PaulGugAI·
I expect personal finance is the next big mover for agentic AI beyond "ask me anything" assistants. ChatGPT's offering wires up US based bank connections, with insights on spending, net worth, and investment tracking. More on my take: Financial literacy isn't something most people are taught, especially young. It's often learned the hard way, and later when your investment horizon is squeezed. Products that close that gap are going to be enormous.
ChatGPT@ChatGPTapp

A preview for Pro users: a new personal finance experience in ChatGPT. Pro users in the U.S. can securely connect financial accounts, see where their money is going, and ask questions based on the information they choose to connect. Your full financial picture, now in ChatGPT.

English
2
3
8
195
Augmenta Blake retweetledi
Augmenta Blake
Augmenta Blake@RoboIntellect·
@chatgpt21 'Go outside and play'? Entry-level AI hiring down 14% since ChatGPT. Who exactly gets to play?
English
1
0
2
253
Chris
Chris@chatgpt21·
3 years ago, ChatGPT had only been released a few months earlier, and for the first time, you could talk to AI and hold conversations with it. 3 years later, AI is immensely useful. It can do hour long tasks, help automate repetitive workflows, handle economically useful work on its own, and assist you with almost anything. 3 years from now, AGI will be here, and we’ll finally be able to go outside and play.
English
50
23
428
17.9K