Enzo Zanardi Piedade retweeted
How have software engineering fundamentals changed with agentic coding? Here is our AI Engineering Skills map for software engineering fundamentals.
Enzo Zanardi Piedade retweeted
Learn about how to get multipliers in local LLM speed-ups using speculative decoding in this livestream with @mervenoyann, @MaartenGr and @_EldarKurtic
youtube.com/watch?v=H4azmWcq…
Enzo Zanardi Piedade retweeted
This is how we built the filesystem behind Perplexity Projects as a Git forge for agents.
Each agent works in its own sandbox and commits to a shared repository where people and other agents can build on its work across sessions.
Read more: perplexity.ai/hub/blog/build…
Enzo Zanardi Piedade retweeted
With AI Engineering skills, you actively shape the build: You influence what gets built, and drive the build loop. Here're key skills to do this.
Enzo Zanardi Piedade retweeted
We now have state-of-the-art pre-trained base models in the 3T-parameter weight class, built entirely in-house at MAI.
Post-training results coming soon -- stay tuned!
Lots of details in our technical blog post.
microsoft.ai/news/frontier-p…
Enzo Zanardi Piedade retweeted
Here's the links for my conversation with Andrew Scull:
YouTube: youtube.com/watch?v=s7d2d8Fh…
Spotify: open.spotify.com/show/2MAi0B…
Podcast: lexfridman.com/podcast
Enzo Zanardi Piedade retweeted
Tired of winning
Trump's Beef Catastrophe: Incompetence, Blithering Idiocy, and Blatant Lies Have Obliterated America's Beef Industry
In yet another humiliating display of incompetence, the authoritarian Trump regime has turned America's once-mighty beef industry into a national punchline. After months of touting "record" export numbers as proof that his chaotic trade policies were somehow working, the U.S. Department of Agriculture has been forced to admit it inflated beef export sales by a staggering 90 percent.
According to a bombshell Reuters report, the USDA bragged in early July that U.S. exporters had sold more than 126,000 metric tons of beef to foreign buyers for a sales period ending in late June. The actual number? Just 12,000 metric tons. That's not a rounding error. That's a catastrophic fabrication that would embarrass a high-school bookkeeper.
The fake numbers were so absurd they should have raised red flags immediately. The USDA claimed record sales of more than 38,000 metric tons to Chile and over 32,000 metric tons to Italy — countries that aren’t even major markets for American beef. Reality? A pathetic 367 tons to Chile and 350 tons to Italy. Fourteen other countries saw their numbers slashed as well.
This isn't just bureaucratic sloppiness. This is the Trump regime's signature brand of hype, lies, spin, and propaganda colliding with economic reality — and the American cattle industry is paying the price.
U.S. beef prices have hit record highs this year thanks to tight cattle supplies and strong domestic demand. Exports have been declining since 2022. Higher prices have priced American beef out of the global market, as commodity analyst Austin Schroeder bluntly told Reuters: "We're priced out of the world market to a certain extent. It wouldn't make a lot of sense for that big of an export number."
Meanwhile, domestic supplies are so low the U.S. has had to ramp up beef imports. Earlier this year, a screwworm outbreak forced Texas to declare a state of disaster, further hammering producers already squeezed by Trump-era chaos.
Instead of acknowledging the mess his administration created — from trade wars that disrupted markets to regulatory neglect that left ranchers vulnerable — Trump and his sycophants simply let the USDA pump out fantasy numbers and call it a win.
This is the same pattern we've seen across the board: brag about successes that don't exist, then quietly revise the data when caught. Only this time it's not some abstract economic indicator. It's the backbone of rural America — cattle ranchers, feedlot operators, processors, and exporters — watching their industry get trashed by incompetence and covered up with lies.
The revised numbers aren't just embarrassing, they're devastating. They confirm what ranchers have been screaming for months: America's beef sector is in serious trouble, and the people running the show are too busy tweeting victory to notice or care.
The only question left is how many more "record" numbers will have to be walked back due to Trump being a serial lying sociopath who is too psychologically fragile to handle the truth.
Enzo Zanardi Piedade retweeted
2/2 Second, on the messaging around AI. I do not agree that my messaging has been disproportionately negative. In fact it has been about equally balanced between risks and benefits: I’ve written one major essay about each, and even in interviews where I discuss the risks, I make sure to frequently mention the incredible benefits as well as proposing possible solutions to the risks (short clips from my interviews that end up on social media tend to be disproportionately negative, as that gets clicks). In fact, I wrote Machines of Loving Grace because I didn’t feel the AI industry was painting an inspiring enough picture of how the technology could radically transform the world for the better. The bulk of the essay is devoted to refuting skepticism of AI’s potential in health and biology, and showing why I think it will actually be possible to cure most human disease in ~5-10 years, as crazy as it may sound to ordinary people and frankly to biologists as well (I used to be one!). And, if you read my most recent essay (Policy on the AI Exponential), I discuss concrete proposals for how to streamline the FDA process to make sure the deluge of AI-accelerated drugs isn’t slowed down by the regulatory process. I feel the urgency here: I lost my father to Hepatitis C only a few years before the development of direct-acting antivirals (sofosbuvir), which cure 95% of patients and probably would have cured him.
I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks. I think it is fundamentally a crisis of trust. I think that ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over. The causes of this go back decades and AI is just the latest iteration of it. I don’t think that a glitzy marketing campaign with a positive spin (which some have advocated that Anthropic do) is the way to win back that trust — at this point, saying that AI will cure cancer is more a cliche than it is inspiring, and most people think it is deceptive. The thing that will work is *actually curing cancer*. I think by far the most accurate criticism of AI companies including Anthropic is that we haven’t yet delivered on our big promises to benefit the world. That is totally on us, and I think it’s the criticism you should be making, instead of all this stuff about messaging and marketing.
We are however doing our best to fix this: Anthropic is ramping up its efforts very quickly in biology and medicine, and we hope to have incredible results in the coming years and some early glimmers in the coming months. When we’ve actually accomplished something real, the whole world will hear about it, as loudly as possible, you have my word on that. But until then I don’t want to make empty promises, and in the meantime I feel compelled to speak honestly about the very real risks of AI and how to address them. Honesty is the right thing on the merits, and in terms of public credibility and trust it is no worse than, and may in fact be better than, an approach that ignores or distracts from risks which people instinctively understand are real.
Enzo Zanardi Piedade retweeted
Whenever I see a decorative mirror ball, I think about the old-school OpenGL GL_SPHERE_MAP texgen option, and light probes for realistic lighting of synthetic renderings for merging with photos.
Long before cube maps were an option, sphere maps allowed a form of shiny surface rendering, but only from a limited viewpoint — you couldn’t walk all the way around a shiny object.
For light probes, you could take multiple photos with different exposure times to capture a true many-orders-of-magnitude high dynamic range composite image for realistic image based lighting of everything from direct sunlight to subtle shadowed region indirect lighting.
Enzo Zanardi Piedade retweeted
that's the problem he should've sent them in all caps
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis.
It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from 41.6% to 67.2%.
anthropic.com/research/riema…
Enzo Zanardi Piedade retweeted
Reasoning from scratch, round number 6!
An introduction (and implementation) of Reinforcement Learning with Verifiable Rewards (RLVR) and Group Relative Policy Optimization (GRPO).
00:00 Introduction
01:54 What makes a reasoning model different?
04:25 Reasoning traces and model capability
08:29 Accuracy and format rewards
11:34 Aha moments and DeepSeek-R1 training
14:41 Reasoning effort and answer length
18:38 RLHF and RLVR
23:04 GRPO vs. PPO
26:40 GRPO explained with a cooking analogy
31:43 The KL term and simplified GRPO
35:04 Loading the pretrained model
36:07 Loading the MATH training data
39:26 Sampling model responses
46:30 Computing verifiable rewards
49:55 Computing advantages
51:54 Token and sequence log probabilities
55:29 Implementing sequence log probabilities
57:37 Fixing the inference-mode error
1:02:24 Computing the GRPO loss
1:04:37 Putting the GRPO step together
1:09:19 The GRPO training loop
1:12:57 Training settings, logging, and checkpoints
1:17:24 Running training and inspecting outputs
1:19:28 Loading and evaluating checkpoints
1:22:33 MATH-500 results and training stability
1:24:05 Memory requirements and next steps
🆕 How to Kill Your SaaS
youtu.be/zlD-CkLVKtU
A lot of people talk about the death of SaaS but mostly in theoretical terms. We took a real $43,000/year SaaS we use and launched a global hackathon to clone it in a weekend, with both AI and REAL HUMAN evals, using any models any harness.
72 submissions, a lot of manual evals and ~100B tokens later, here are the results
In this special @latentspacepod edition we share the data collected, what's still hard about killing nontrivial, midtier SaaS, and reveal the winners of the $10,000 Kill My SaaS contest with qualitative interviews!
Enzo Zanardi Piedade retweeted
Tired of not winning
Donald Trump “erupted” during a meeting with his top national security team last week, reportedly yelling expletives at those present, according to NBC News.
The report says Trump is “exasperated” by the lack of progress in ending the Iran war and the lack of a clear strategy.
One Trump ally said, “The president is exasperated. I don’t think he believed it was going to be this difficult to get the Iranians to agree to a deal.”
Watch Grokipedia improving in real-time
Enzo Zanardi Piedade retweeted
How AI shifted from a transductive paradigm (token-by-token answer completion) to an inductive paradigm (on-the-fly reasoning chain synthesis), in one chart. This is the big story of 2025 and 2026. This is what made coding agents work.
Enzo Zanardi Piedade retweeted
I met @MilksandMatcha over coffee, and she’s incredibly smart and such a lovely person.
Wishing her and Vivian every success with Sota Wives!
Their new podcast covers life inside Silicon Valley: dating, ambition, status games, and YC culture. There’s plenty to talk about, and I’m looking forward to hearing their take.
🤝 Paid partnership
WTF is a SOTA Wife?
SOTA Wives is a podcast exploring the unfiltered side of Silicon Valley.
We built it as an antidote to the performative polish of tech Twitter.
Brought to you by @MilksandMatcha x @vivianmshen.
Episode 1 goes live on Monday, 12th October at 9 AM PT on everywhere you get your podcasts 💙
Enzo Zanardi Piedade retweeted
Cool eval. Simply ask an LLM “Land or Water?” and give it a latitude and longitude coordinate as text. Ask 16,200 times, plot as image. The models know. From compressing the internet.
Enzo Zanardi Piedade retweeted
Tired of winning






































