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Sam Alba made an agent that analyzes your Dockerfile, makes it better, test that it builds correctly, then opens a PR - in 50 lines of code 🤯 Note the deep tracing - trust but verify! This was gpt-4o I believe. What model should he try next? 🧵

Solomon Hykes

51,954 subscribers

15,097 Aufrufe • vor 1 Jahr •via X (Twitter)

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Solomon Hykesvor 1 Jahr

And here is the code:

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Rickyticky Bobbywobbinvor 1 Jahr

INTRODUCING: Agentic Security - LLM Security Scanner! 🔍 🔑 Features: Scans for prompt injections, jailbreaking & more. Provides detailed reports & options to customize attack rules. 🔗access the GitHub Link ↓

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Vibe coding is cool. But have you tried vibe-tuning? Here’s Claude Code using the Lightning Rod Labs SDK to turn messy Fed PDFs into a small, specialized economic forecaster. The agent: - parses raw historical PDFs - builds a training set - fine-tunes a smaller model - evaluates it against GPT-5 Result: a fine-tuned model that beats GPT-5 and runs anywhere, on a single GPU. Try it in your coding agent of choice.

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Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."

Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."

Chris

5,664,840 Aufrufe • vor 1 Jahr

I joined OpenAI at the beginning of the year -- partly because I was excited about the possibility of better voice interaction with computers. So it was *especially* amazing to work with the team here on the gpt-4o model launch. It's hard to grok until you try it how big of a step forward this is for human/computer voice communication. It feels different -- it's obvious that the model understands you better than anything you've used before. This is my favorite demo of gpt-4o, it demonstrates not just good stt/tts, but actual conversational ability over full, realistic phone call. It's so obvious how useful this will be!

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Peter Bakkum

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Dan McAteer

174,045 Aufrufe • vor 1 Monat

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Alpha Batcher

35,693 Aufrufe • vor 2 Monaten

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Zlatti71

379,436 Aufrufe • vor 4 Monaten

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When it comes to dealing with the Iranians, that old saying,"Trust, but verify," ought to be turned around to "Verify and never trust. I do believe the MOU with Iran falls far short of what the United States should be demanding after the brilliant efforts by our military in Operation Epic Fury.🇺🇸

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slash1s

22,107 Aufrufe • vor 1 Monat

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Betsy Wolfe shared a fun story of Katy Perry coming to see the show “& Juliet” on Broadway and then gifted her glasses! “That woman wrote me the sweetest and kindest note the next day, somehow managed to get this incredibly fancy pair of glasses that made for her and gave them to me. But it was the note, it was the generosity of the note that, I thought was like, really, really classy.”

Katy Access

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FIRE

329,762 Aufrufe • vor 6 Monaten

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Boris Cherny (creator of Claude Code, Anthropic): "My entire CLAUDE.md is two lines. With every new model you need less instruction, not more, most people are over-engineering the one thing that should stay tiny." in a 7-minute interview, Boris Cherny breaks down why the smallest AI-coding setup wins, and the one moment you should delete your config and start from scratch most engineers do the opposite: they pile on rules, build scaffolding around the model… then the next model ships and makes all of it useless. what he actually keeps in those two lines, and why he tells his team to throw the rest away. Watch the talk, then read the article below. That’s worth more than a $800 course on agent engineering.

Prometheus

238,143 Aufrufe • vor 1 Monat

How good is GPT-4-Vision at extracting text from images? I wanted to find the limit - but I found weirdness instead Most surprising: GPT-4V performance varies depending on the *structure* of text it sees Let me explain A set of images with progressively more text was presented to GPT-4-Vision. GPT-4V was asked what text it saw in the image. The response from the model was compared against the image’s original text and scored for similarity. The model was tested with 4 types of text: essay, random words, random tokens, and random characters. Findings: * Performance degrades - Yes, the models are good at basic OCR, but as you get more text and words then performance drops (this is expected) * Type of context matters - You should expect different recall on your texts based on your context types * Hallucination Errors - I thought that the model would make errors of omission (it wouldn’t return all the words). But instead the model mostly made hallucination errors - it replaced words with made up words. * Evals Matter - This test in isolation doesn’t mean that your data will have the same results, but it should motivate you to create eval tests for your data and anticipate errors which are hard to spot Notes: * Next step would be to add additional image types like tables or PDFs * GPT-4V would routinely get stuck in repeat-token-loops when trying to extract random tokens * GPT-4V would refuse to answer most random character images

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49,111 Aufrufe • vor 2 Jahren

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Arteta: “Throughout this journey, we have made some massive steps, and we have accomplished a lot of things that, in my opinion, have a lot of value, but at the end of the day, we are here to win major trophies. “That was the ultimate goal, and we were very close. And in three occasions, we fell short at the end, and that was very painful. But I think that's what has driven all of us to find new ways to show what we are made of. That's what I said, the manner that we've done it, it makes it even better.”

Connor Humm

14,155 Aufrufe • vor 2 Monaten

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🇺🇸Pilot: “I was told that it was a dog, but it was a person.. it was too small to be a male adult. I believe it was a child.” Host: What did you do? 🇺🇸Pilot: Maintain target. I asked the pilot what that was, and he's like, He didn't care. THIS IS WHAT US DID IN AFGHANISTAN

The Resonance

169,453 Aufrufe • vor 9 Monaten