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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
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. https://t.co/dZUybl6VkY
Do anything with Perplexity Computer. Even projects like mapping @theallinpod episodes to stock price movements. https://t.co/eCjBmqelXv
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. https://t.co/dZUybl6VkY
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
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
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
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 yourse
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 โjust process.โ 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 โdecentralized controlโ 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, weโre 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.
https://t.co/xQ0tVdFoV4
https://t.co/xQ0tVdFoV4
GPT 5.4 is released https://t.co/kqy67qLlJf
Two major AI releases this week: โข Qwen3.5 โ new open-source small models โข GPT-5.4 โ newest frontier closed model Most benchmarks compare math and coding. But the real test for frontier AI should be biology and healthcare. Thatโs where mistakes actually matter. So our team at @UHN ran them on EURORAD โ 207 expert-validated radiology differential diagnosis cases. Results: GPT-5.4: 92.2% Qwen3.5-27B: 85% Gemini 3.1 Pro: ~79% A 27B open model that runs on a laptop is only 7 points behind the most powerful AI model on earth โ and already beating Gemini on this benchmark. That gap is much smaller than people expected. And it matters. For years hospitals faced an impossible tradeoff: Frontier models โ patient data leaves the hospital Local models โ not good enough That tradeoff may finally be ending. Qwen3.5-27B runs fully local. No API. No cloud. No patient data leaving the building. HIPAA / PHIPA compliance becomes architecture, not paperwork. Interesting detail: 27B and 122B score almost identically here. Scaling bigger didnโt help much. One caveat: with web-scale training, itโs hard to completely rule out that frontier models like GPT-5.4 may have seen parts of evaluation datasets. Still, the signal is clear: Small models are getting good enough for real clinical AI. And if we want to measure real AI progress, biology and healthcare should be the benchmark. Huge credit to the team @alifmunim @AlhusainAbdalla @JunMa_AI4Health @Omar_Ibr12 @oliviaamwei
๐๏ธNew episode of "Machine Learning: How Did We Get Here?" Tom Mitchell (@CarnegieMellon) and @ylecun, Executive Chairman of AMI Labs and Professor at NYU, discuss how technological advances and commercial forces shaped AI history. Listen on Spotify: https://t.co/YdWjoVdoVc
Tom's ongoing peek at the personalities and personal stories behind machine learning's history is available wherever you find your podcasts. ๐ฅWatch on YouTube: https://t.co/czYb2iXB2l โถ๏ธListen on Apple: https://t.co/z07MFJaTr1
As @bradrcarson explains, the contract language released so far does not restrict the gov from using AI to kill without human oversight. https://t.co/To1RKsQTGg
@ch402 @sebgehr Too many to count. NatSec in general agrees with you @ch402. Jack Shannanโs background and placement in Operation Maven is noteworthy so his understanding of how critical Claude is to American military effectiveness is not just hot air. https://t.co/0fjZrDKWLh https://t.co/I8ISpgEMve
On one end, the Anthropic team is a massive user of AI to write code (80%+ of all code deployed is written by Claude Code). They ship amazingly fast. On the other hand, seeing these beyond terrible reliability numbers suggests there might be a downside to all this speed: https://t.co/9nYoH7KYOc
we are about to hit 1 9 of availability while coding is largely solved https://t.co/4NJB1YNsPk
we are about to hit 1 9 of availability while coding is largely solved https://t.co/4NJB1YNsPk
It's very common for people to claim that open LLMs will be used to commit cyber attacks at massive scale. What public evidence is there for this claim? The best (and one of the only) accounts I've seen of a cyber LLM attack was done using Claude https://t.co/v63Lolv5iH
Looking for user feedback about the upcoming ggml official Debian and Ubuntu packages https://t.co/8lcGZzSgLK
ๅ ้ฑใSakana AIใฎใชใผใๆ่ณๅฎถใงใใKhosla VenturesใฎVinod Khoslaๆฐใๆฅๆฅใใพใใใ๐ฏ๐ต ๅฝ็คพๅ ฑๅๅตๆฅญ่ ใฎไผ่คใจใจใใซ็ๅฑฑใใคใ่ฒกๅๅคง่ฃใๅ ฑใซ่กจๆฌใใๆฅๆฌใฎ็ฃๆฅญ็ซถไบๅใ้ซใใAIๆฆ็ฅใใๅ ฌๅ ฑ้จ้ใซใใใๆๆฌ็ใชAIๆดป็จใซใคใใฆใใฐใญใผใใซใช่ฆ็นใใๆ่ฆไบคๆใ่กใใพใใใ ็ถใใฆใVinodๆฐ ใซใฏSakana AIใฎๆฐใชใใฃในใซใใ่ถใใใใ ใใพใใใCEO David Ha (@hardmaru) ใ CTO Llion Jones (@YesThisIsLion) ใไบคใใๆฅๆฌใฎๅฎๅ จไฟ้ใป้ฒ่กๅ้ใซใใใAIๅฉ็จใๅซใใๅตๆฅญๆใใๆๅพ ใใใใฆใใใ ใใฆใใๅฝ็คพใฎใฆใใผใฏใชๆ่กใๆดป็จใใๅฝๅ ๅคใฎใใพใใพใช็ฃๆฅญใปใฏใฟใผใซใใใAIๅฑ้ใฎๅฏ่ฝๆงใซใคใใฆๅฏพ่ฉฑใ่กใใพใใใ โโโโโโโโโโโโ Last week, Vinod Khosla (@vkhosla) of Khosla Ventures, Sakana AIโs lead investor, visited Japan. ๐ฏ๐ต Together with our Co-founder COO Ren Ito, they paid a courtesy visit to Finance Minister Satsuki Katayama to exchange views from a global perspective on AI strategies to boost Japanโs industrial competitiveness and the fundamental integration of AI within the public sector. Following that, Vinod visited Sakana AIโs new office. Joined by CEO David Ha (@hardmaru) and CTO Llion Jones (@YesThisIsLion), we discussed the potential of deploying AI across various domestic and global industrial sectors using our unique technologyโsomething he has supported since our founding. This included conversations on utilizing AI in Japanโs security and defense fields.
Can AI companies restrict government use of their technology? They do it all the time. Whether and how depends on the acquisition pathway, contract type, and terms. My explainer: https://t.co/QHSZrooFoH #Anthropic #openai #pentagon #DoD #govcon
