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Finally tried Computer and used it to make a beautiful stock tracker Iβve been wanting for a while. It did it in <10 minutes and pulls in latest share price via API. The fact that I can spin up new apps in a few minutes w/o a terminal is crazy https://t.co/BERQKhoEjW
give computer a task today and ask it to remember it as a skill. it's the fastest employee training + onboarding i've ever done, period: 'remember to do this next time i ask' -- best employee ever https://t.co/P1UsaIhjDV
A war is on. Fragile markets. For equity analysts or for anyone with interest this is great value. Check how rich is the output in the video. Go to Perplexity Computer. Use this prompt: Build an interactive scenario dashboard to help me explore and understand the different ways the US/Israel strike and potential ongoing conflict on Iran will impact global public equity markets in the coming weeks - consider the impact on individual equities and commodities The site showcases 3 scenarios of how the conflict might go and adjusts values such as oil price ranges, sector impact, and risk indicators. Includes a visual flowchart showing how the Hormuz disrptuion cascades through oil price to airline costs, inflation risk, energy revenue based on time and conflict levels.
AI is coming quick In 2026 AI tools like Perplexity Computer can now one-shot popular apps like Flighty Imagine what all this will look like in 2036 π https://t.co/HGUnVWWsmx
You can now run three frontier models at once and select your orchestrator model directly inside Perplexity Computer. Model Council automatically runs GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro simultaneously. Three frontier models. One workflow. Best answer wins. https://t.co/40rPcXpr6s
Massive SpaceX IPO anticipation. @perplexity_ai Computer creating a Financial model and DCF for SpaceX. https://t.co/mPZrEAUpOH
Perplexity just became the first AI company to truly go head-to-head with Palantir Using Perplexity Computer (with no local setup or single LLM limitation), it was able to build me a World Monitor with real-time data to analyze the world situation, flight situation, war situation, and many more... using skills and a combination of LLMs wherever they're best. I'm super impressed @AravSrinivas
Do anything with Perplexity Computer. Even projects like mapping @theallinpod episodes to stock price movements. https://t.co/eCjBmqelXv
Perplexity Computer is insane. It's researching hundreds of LinkedIn profiles for me in parallel. Claude Code fails because it gets often blocked, and it runs out of context window. But Perplexity Computer doesn't stop. It's been going for a while. https://t.co/4cvyy37wtu
Claude 3 & GPT-4: "the book Piranesi as a p5js 3d space. do it for me" After a few rounds of revisions, this is what they came up with - Claude on the left, GPT-4 on the right. Given the limits, neat. I think the rising and falling tides from Claude 3 are a cute touch. https://t.co/qYsliPrGTK
Had early access to GPT-5.4 and Pro. They are very good. One fun illustration of progress, this is the same prompt I used in GPT-4 below (making a 3D space inspired by Piranesi) now in GPT-5.4 Pro. There were no errors, made in a single prompt plus one to "make it better." https://t.co/7Vgmc60SKc
Since OpenAI didn't update Figure 7 from GDPval given the success rate of GPT-5.2 on long-form tasks, I used GPT-5.2 Pro to do so. The chart assumes the process is: delegate long tasks to AI, evaluate the output for an hour, then decide to try again or give up & do it yourself. https://t.co/vFtMZrturL
Given the GDPval benchmark for GPT-5.4, I've updated this chart, the new model ties or beats humans as judged by other experts at professional tasks 82% of the time If you give a 7 hour task to AI, even with failure rates and the need to check results, you'd save 4h 38m average https://t.co/U4PQSArQo2
At the end of January I started a "living document" tracking the impact of AI on productivity. I highlighted a disconnect: while micro studies showed a clear boost, the macro evidence was muted. I wrote that I expected this to change in the near term. Apparently "near term" is a bit over a month. The post has been updated with almost a dozen new studies, on benchmarks, new tasks, etc. Importantly, updates to the aggregate data are also showing what looks like AI productivity gains. It is still early days, but worth noting. See post here: https://t.co/AtsqhaHzT9
GPT-5.4 Pro, Opus, and Gemini DeepThink: "Prove to me in a PowerPoint that there was no advanced dinosaur civilization by downloading whatever data you think appropriate & running tests" GPT-5.4 and Claude did some original analyses, but someone build a harness for Deep Think! https://t.co/QMzmAIfFtL

Also, right now OpenAI does the best job in the chatbot interface of actually showing you auditable thinking traces. https://t.co/6Yk8J5ZZps
Governance is not βjust process.β It is production infrastructure. On Feb. 4, @reserveprotocol detected an unexpected governance proposal targeting hyUSD, a dormant decentralized token folio (DTF). The proposal aimed to upgrade core contracts to an unverified implementation. A Slack alert surfaced the change quickly, the team investigated, and the community mobilized to vote it down. This case study is a look at what βdecentralized controlβ actually requires in practice: visibility, fast triage, and a workflow that turns onchain events into real-world response. Read more: https://t.co/VIkr73cJjK
This is an interesting scam. I am getting DMs from people claiming to be journalists at TechCrunch wanting to work on an article with me about AI. The first one I immediately noticed no one named "Torres Campbell" seems to be publishing articles from TechCrunch so must be fake. They must have realized I caught on because the next day I get a DM from "Charles Rollet" who I notice is indeed a journalist from TechCrunch. I was about to respond when I visited his profile on TechCrunch and noticed his X profile is different. His actual account is @CharlesRollet1! Very wild scam. Be safe out there! I am assuming they probably want me to pay them to do an article with them but of course no article comes out on TechCrunch lol

This month, weβre in SF for @Official_GDC and in San Jose for @NVIDIAGTC with a new live demo of our real-time diffusion world model. If you want to see it running under real user input and tight latency constraints, meet us. https://t.co/QputPCxkyk
when the whole team is on claude code https://t.co/uhyfPPsgXm
"People do not realize that there is only one bridge remaining." To solve disease + accelerate, we need to make disease solvable using compute. Data is the limiting reagent. This is why @precigenetic is essential for the future of biological superintelligence.
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GPT 5.4 is released https://t.co/kqy67qLlJf