Professional AI tab hoarder. Daily news, new tools, and the occasional "wait, what?"
Joined October 2026
- Tweets547
- Following70
- Followers73
- Likes1.3K
Jensen Huang ran Nvidia for 33 years. On Thursday he resigned, effective immediately, and the company's filing doesn't give a single reason.
He also left the board. CFO Colette Kress is interim CEO, and Nvidia named its first ever board chair the same day.
The stock fell more than 14% at one point before clawing some of it back. HSBC cut it to hold and says it will struggle until there's a permanent CEO.
Monday Nvidia reports earnings. First time in its history without him.
Cortexx retweeted
Tonight SpaceX tries to catch both Starship stages. A first for any orbital rocket.
Same month, on the ground:
• a 6 GW AI campus in Arizona, 2.5x all Phoenix-area data centers
• a ~$24B compute site with its own gas plant at Starbase
The rocket might be the side project now
Cortexx retweeted
Haiku went from 19.7% to 41.2% on BrowseComp when Opus was allowed to advise it.
In Claude Code that's one flag:
claude --model claude-haiku-4-5 --advisor opus
Haiku does every turn. At the hard calls it pings Opus, Opus reads the whole session and sends back a plan, a fix or a stop. Opus never calls tools.
Claude decides when to ask. In practice:
> before it locks a plan
> when the same error shows up twice
> before it calls the task done
What most posts get wrong:
> those numbers are Haiku 4.5 + Opus 4.6 from Anthropic's April launch, not the 5.5 models
> the docs list Haiku 4.5 as the Haiku main model that supports an advisor, so pin it by ID
> against Sonnet alone it scores 29% lower but costs 85% less per task
3 things worth knowing:
> /advisor opus saves it as your default, --advisor lasts one session
> ctrl+o on the "Advising" line shows what Opus actually said
> subagents inherit the advisor
Where it breaks:
> Anthropic API only, no Bedrock, Vertex or Foundry
> every advisor call rereads the full transcript, long sessions add up
> want the best score instead of the cheapest: Sonnet main, Opus advisor
Microsoft 365 went down Thursday. Nearly 24 hours later Microsoft still hadn't called it fully fixed.
Servers kept failing their health checks. Microsoft brought them back, traffic returned, and they went down again.
Copilot went with it. OpenAI and Anthropic both reported their Microsoft 365 tools failing. The models were fine, they just couldn't reach the inbox.
In the UK, police couldn't take online crime reports and NHS email problems could delay prescriptions. Japan's government switched to phones.
Every AI agent wired into your mail runs on someone else's servers.
This watch ticks 6 times a second, and the gear math is why.
I asked Claude to build a mechanical watch movement in code. 0 models, 0 textures, 0 sound files.
Balance wheel at 3 Hz. Escape wheel with 15 teeth at 12 rpm. The fourth wheel turns once a minute, the center wheel once an hour, the mainspring barrel once every 8 hours.
Even the tick is generated in code.
Japan's disaster management agency couldn't send or receive email yesterday. Some government services went back to paper.
That was the Microsoft 365 outage. Outlook, Teams and Copilot down across 74 countries within about an hour, around 130,000 Outlook reports at the US peak.
Microsoft says it's not a cyberattack. Its own servers kept failing health checks, and every time they came back, the returning traffic knocked them over again.
17+ hours later it was still listed as degraded.
2
9
733
Cortexx retweeted
Google just did something I didn’t expect
It rolled out Gemini 4 Carbon worldwide, its strongest model yet. Then it said most people should keep using the older one, Gemini 4 Argon, for everyday work
Carbon is built for the hard stuff: multi-step coding, science, security. Early users found zero-day vulnerabilities with it in a short time. Google is also giving 10,000 scientists six months of free access
The pace is the crazy part. Argon came out only two weeks before Carbon
Two weeks
So the question is no longer "which AI is the best?" It’s "which one do I actually need for this task?"
Strongest model, or the one that’s good enough?
Cortexx retweeted
Microsoft 365 went down for nearly 10 hours. Outlook, Teams, SharePoint, Copilot.
No cyberattack. No hackers.
Microsoft’s own servers started failing automated health checks. As more servers went offline, the remaining ones became increasingly overloaded.
Restarts didn’t solve it. Servers came back, then went down again as traffic returned.
Even ChatGPT and Claude’s Microsoft 365 connectors stopped working.
Now AI agents are being wired into banking, healthcare and logistics. All increasingly dependent on the same cloud infrastructure.
Yesterday, it was email.
What happens when it’s something we can’t afford to lose?
Claude Fable 5.2 is #1 on the Artificial Analysis index. 65 vs 59 for Opus 5.5.
Then I checked the cost per task.
26.5$ vs 10.0$.
Cortexx retweeted
I asked Fable 5.2 for a video with music. It built the instrument first
It’s a marble machine in 3D. A sloped belt carries 244 marbles toward the edge, and each one drops onto a metal bar, a bass bar, a drum or a cymbal. The belt works as the sheet music, so you can read the next 3 seconds of the song on it before you hear them
There is no audio file anywhere. The sound is synthesized from the same list of 244 notes that moves the marbles, which is why every note lands on the exact frame of its impact. 13 bars at 100 BPM, 4 chords, and a run of 60 marbles in 9.6 seconds near the end
No samples, no 3D models, no libraries. From my message to the finished video took 45 minutes, and about 30 of those were rendering
Cortexx retweeted
The same task cost eight dollars one way and four the other. Nothing about the work changed.
Run A keeps the expensive model in the loop every single turn. Run B lets the cheaper model do the work and only calls the expensive one at decision points, as an advisor. Same job, same output, half the bill.
That is the whole agent cost problem in one screenshot. It is almost never the model you picked. It is how many times you asked it something it did not need to answer.
Where in your setup is the expensive model answering questions it should not be seeing?
Cortexx retweeted
This snake eye is 5,631 scales and one equation for light.
No textures, no 3D model, no stock footage. Every pixel is computed live in a browser tab.
What’s actually on screen:
> The iris is three layers of radial fibers, a branching crypt network and gold flecks, generated pixel by pixel
> The cornea isn’t painted on. Every pixel traces a ray through it at n = 1.376, so the iris shifts and bends as the camera swings past
> The slit pupil is two intersecting circles. It narrows from wide open to a thin blade when the light hits
> 5,631 scales, each placed by code with its own tilt, color and overlap, plus four rings of tiny scales around the eye
> Then the camera pulls back and you see the whole head
Hit record and it exports the video straight from the browser.
How it’s built, with all 7 prompts, is in the article 👇
Each one is a single HTML file, and the motion is live physics, not animation. Sonnet runs 204 particles with shape matching. Fable runs 288 particles in 9 shape clusters at 240 steps a second.
Drop, poke, toss, then swap to lemon and grapefruit and drag the stiffness slider.
5
22
467
I built a laptop from an empty table. 173 parts, one at a time
Logic board, chip, 60 tiny components, copper cooling, two fans, six battery cells. Then 78 keys drop in one by one, each with its own letter
Looks like a product shoot. It’s one HTML file. No 3D models, no Blender, no camera
Wait for the screen to turn on