i prompt, thus i exist ex @LeonardoAi (acq. by @canva) ex @delphi_labs
Joined March 2012
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Midas đź‘‘ retweeted
Mañana construimos 🚀 Último llamado para el DevDay Exchange Community Hackathon con @OpenAI.
→ Sáb. 7 de nov. · UtopĂa Coyoacán, CDMX
→MentorĂa y crĂ©ditos de Codex
ÂżTodavĂa no te registras? SĂşmate aquà 👇
luma.com/f755f0k6
Midas đź‘‘ retweeted
SITUATION DETECTED: Delaware is drafting a proposal for a new form of corporate entity called an Artificial Intelligence Company (AIC). An AI managing an AIC would be able to provide services, sign contracts, hold property, and even file or defend lawsuits in the company’s name.
Midas đź‘‘ retweeted
When researchers analyzed how Pegasus spyware infected iPhones without the user tapping anything, they found something wild. The attackers sent an iMessage with a fake GIF that targeted Apple's image decompression engine. The decompression math was so flexible that the exploit chained arithmetic operations together to construct a literal, functioning software CPU using over 70,000 segment commands that defined logical bit operations (AND, OR, XOR, XNOR, etc.) entirely inside the image parser. This created a small computer architecture with registers, a full 64-bit adder, and a comparator, running raw code before the phone even buzzed with a notification
Midas đź‘‘ retweeted
The research behind every big decision usually takes a week. Claim that week back.
Today, we are introducing TinyResearch and TinySet.
Available now: tinyfish.ai/deep-work
TinyResearch turns a hard question into a report you can make a decision on.
TinySet turns a natural language prompt into a complete dataset, built from information scattered across pages on the web.
Midas đź‘‘ retweeted
Today’s GPT-6 Cyber release is a meaningful step for defenders: stronger vulnerability research and better alignment. We’ve already been using GPT-6 Cyber alongside GPT-6 Astra with Daybreak to harden our own systems, finding weaknesses, validating their impact, and developing fixes.
Even after years @OpenAI, model capabilities continue to surprise me. One small example came from testing a prerelease version of GPT-6 Astra earlier this summer. We were examining tools used across our research infrastructure and one of our research infra leads, Michael Dalton, was looking into some low risk areas like a math task grader that used SymPy, a mathematics library, to check answers.
In an offline test, the submitted answer used characters that looked like ordinary letters to get past the grader’s checks. It caused the grader to run a shell command that printed “4242”, while still returning the expected result, 1/2. The grader marked the answer correct. A valid math answer had become a way to run code inside the grader - diagram below.
This is the kind of vulnerability that can be very hard for a human to find, even with a fuzzer. It takes connecting how input validation and evaluation interact, constructing an input that passes the checks but triggers unintended behavior, and recognizing the failure even when the final answer is correct. Models can reason across those pieces and help uncover classes of vulnerabilities that are difficult to spot when reviewing components in isolation.
That’s why it’s important for more defenders to use models with Daybreak to find and fix vulnerabilities in their own systems. Whether it’s a potentially internet-melting bug like PHP2Shell or a subtle but important issue like this grader bug, finding it before an attacker does gives defenders time to act.
Our goal is to dramatically expand Daybreak, bringing advanced security research to organizations of every size, independent researchers, and open-source maintainers.
We’re also expanding Daybreak Blue alpha access for GPT‑6 Astra to more organizations and individual security researchers - let us know if you’re interested:
docs.google.com/forms/d/e/1F…
Introducing GPT‑6 Cyber: a major advance in security research that pairs stronger capabilities with better model alignment.
The model powered the Linux kernel research we announced yesterday, and security teams at companies like Mozilla, Palo Alto Networks, Calif, and Cisco—alongside our own at OpenAI—are already putting it to work.
GPT-6 Cyber is available to select Daybreak Red customers and we are expanding access over time.
openai.com/index/introducing…
Midas đź‘‘ retweeted
I called it
Anthropic's Model 4 scores 178.6 on AECI
AI progress is now twice as fast as before
I would have to look it up and there would be some uncertainty, so here's my vibe:
Fable 5.5 probably scores around 173 ECI and internally they might have models closer to 175-180
RSI and superintelligent models next year or 2028
but the bio stuff feels limited by automated labs rather than model capability. like Fable 5.5 can probably already cure a lot of diseases
i have used chatgpt for 3 years 11 months 6 days
since the first day it launched until today
and i'm not counting the gpt-3 davinci era
how long until we have the latest zelda decompiled by a swarm of agents so one can play it in the browser/mac?
Midas đź‘‘ retweeted
the team has been laser-focused on making dots significantly faster and more reliable.
some updates in the latest app release…
- you can now reply to your dot inline from a notification on iOS
- share anything directly to your dot in iOS
- open your dot from the iPhone Action button
- faster loading when you tap in from a notification
- gmail links deeplink to the exact email inside the gmail app
Midas đź‘‘ retweeted
Introducing GPT‑6 Cyber: a major advance in security research that pairs stronger capabilities with better model alignment.
The model powered the Linux kernel research we announced yesterday, and security teams at companies like Mozilla, Palo Alto Networks, Calif, and Cisco—alongside our own at OpenAI—are already putting it to work.
GPT-6 Cyber is available to select Daybreak Red customers and we are expanding access over time.
openai.com/index/introducing…
Midas đź‘‘ retweeted
I'm not even sounding the claxon for this it's just horrible.
Any text > 256chars is a valid root password, holy shit
sshhole.com/
Midas đź‘‘ retweeted
i want an AI that:
- is fast (1000+ tok/s)
- is cheap ($200 plans that feels unlimited)
- has a great image model (like gpt-image)
- can understand videos (like gemini)
- has taste (like opus 5.5)
- can one-shot video games (like Astra)
- can do true pixel art (like retrodiffusion)
- can talk to it (like gpt voice)
- can create music (like suno)
- can create cheap good looking videos (like seedance 2.5)
- has great mobile support
- can develop locally or in the cloud
- can create voices (like gemini's latest model)
- has really good memory
- can use my computer (like codex but faster)
- can work for hours without baby sitting it (like codex)
- can be used in different harnesses (like gpt does)
im probably missing some more stuff, feel free to add it below
Midas đź‘‘ retweeted
After Google acquired my AR startup, I started thinking about the next interface, this time for AI. Text and voice work fine, just like DOS did before the Mac. But nothing’s more intuitive than face to face.
After two years of research, today we’re launching Atmee v2: a real-time avatar model that makes live video agents feel truly life-like.
• Any character from 1 image + 10s of audio
• Contextual expressions, gestures, even interacting with the environment
• Live video calls, voice only, or video generation
At its core, Atmee v2 is a video foundation model, it can render anything, but it’s built to excel at characters, which is what video models like Seedance 2.5 and Wan 3.0 are mostly used for. In comparison:
Atmee v2
• Up to 50x faster
• 10-100x cheaper
Build tutors, sales coaches, support agents, companions, game characters, even whole living worlds. The interface after text and voice starts today.
