Microblog

I feel there's a parallel between investing in ETFs vs stockpicking, and publishing on the social media silos vs the indie web.

- Money/attention flows where most of the money/attention already is
- Trade-off between ease vs being in control
- Stockpicking and publishing on the indie web both require a bit of expertise
- "I think I can do better than the default by applying my own judgment."

"Investors have decided that the future is agents! So you must make your system a series of agents! Even if there are much simpler ways to do it, and even ways that don't use LLMs.

The reason for that, of course, is that VCs believe that if you have an AI agent that can do a human job, you can charge for the software like it was a human service (e.g. charging $10k/month rather than $100/month), which they would obviously love."

Good article and comments! It paints quite good picture of the current narrative around tokenmaxxing and replacing human engineers with agents.

https://www.404media.co/startups-brag-they-spend-more-money-on-ai-than-human-employees/

"The industry has become obsessed with the idea of a “one-person, billion-dollar company,” and various AI startups and venture capital firms are now trying to push founders to try to create “autonomous” companies that have few or no employees."

"[Replacing software engineers with coding agents] will probably work as long as AI providers are taking a bath on their models, but what happens when all your "employees" ask for a 10x pay raise simultaneously? did tech bros reinvent the union from first principles?"

"Investors have decided that the future is agents! So you must make your system a series of agents! Even if there are much simpler ways to do it, and even ways that don't use LLMs.

The reason for that, of course, is that VCs believe that if you have an AI agent that can do a human job, you can charge for the software like it was a human service (e.g. charging $10k/month rather than $100/month), which they would obviously love."

"Given that Claude Code is reportedly writing 70-90% of the code for its own next version, there are clearly use cases where it's working out. I would read this more as industry transformation growing pains--a transition period where overexcited people are figuring out the hard way where this works and where it doesn't."

"[A] few of us end up writing the fixes for systemic issues and core pieces of code by hand while the LLM experts iterate quickly on surface bugs. It's similar to how we used to divide work between senior and junior coders, except with the downside that the LLM will never graduate past junior coder level no matter how much training it receives."

"I have librarian colleagues who never coded before who have used it successfully to write things like format conversion scripts. These are cases where without AI assistance, the thing just wouldn't get done at all-- their library wouldn't hire a programmer to do this stuff even without the freeze--but it's a huge boon to suddenly be able to make all these old historical records compliant with a modern catalog standard, or other activities along those lines."

404 Media Startups Brag They Spend More Money on AI Than Human Employees A new class of AI startups say they are taking money that would normally be used to hire people and are spending it on AI compute instead.

Remember 43things?

https://en.wikipedia.org/wiki/43_Things

I found my old profile in the Internet Archive today and guess what? Between then and now I did 15 out of 20 activities that were on my bucket list in 2011. Not a bad score at all. 😁

43 Things - Wikipedia

I love these 80s digital MacPaint artworks by Susan Kare from the early days at Apple: https://www.folklore.org/MacPaint_Gallery.html

Via @mrngm who shared https://www.hypertalking.com/2023/05/08/1-bit-pixel-art-of-hokusais-the-great-wave-off-kanagawa/ by @hypertalking

RT Bruno Dias‬ ‪@brunodias.bsky.social‬

[louder, as if that'll improve reception] THE BLUESKY DEVS WOULD BE VERY UPSET BY YOUR JOKES ABOUT VIBE CODING IF THEY COULD LOAD YOUR POSTS

https://bsky.app/profile/brunodias.bsky.social/post/3mk26swx5uk2e

Bluesky Social Bruno Dias (@brunodias.bsky.social) [louder, as if that'll improve reception] THE BLUESKY DEVS WOULD BE VERY UPSET BY YOUR JOKES ABOUT VIBE CODING IF THEY COULD LOAD YOUR POSTS

This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: https://superlinked.com/vector-db-comparison

#vectors #embeddings #search #retrieval #rag #genai #agents

"We used Opik, an open-source tool made by Comet, as our prompt monitoring tool because it follows Comet’s philosophy of simplicity and ease of use, which is currently relatively rare in the LLM landscape."

Shots fired! from H2 of the LLM Engineer's handbook by Maxime Labonne and Paul Iusztin.

#llms #observability #genai #opik

"It's hard to read The Soul of a New Machine in 2026 without wondering whether all this AI hype is really so new."

https://newsletter.dancohen.org/archive/the-role-of-a-new-machine/

Humane Ingenuity The Role of a New Machine An old book puts today's new technology in perspective

Generative AI apps have their own version of the training-serving skew from classical ML: the eval-production gap.

You create an eval dataset, optimize your LLM flows against it, hit great performance on your metrics, and ship. Then real users show up and:
- Write input texts of multiple pages long
- Ask in Spanish, Russian or Chinese when you tested in English
- Upload file types you never considered
- Ask questions from domains your product wasn't designed for

#mlops #genai #llms #evals

You optimized for the wrong things, because your eval didn't capture how people actually use the product.

The fix is really easy: log real interactions early, even from a rough MVP, and continuously add to your eval set from actual usage. Your beautiful hand-crafted eval dataset is a great starting point, but over time your target audience should supply most of the eval data.

If your logs are spread out over multiple observability tools, reconstructing actual usage can be a bit uncomfortable though, but that's where my data wrangling skills come in. 😁

"Artificial intelligence is like plastic. At the beginning we also had this hype about plastic. People would make everything from plastic because it was the new hot thing. At some point people realised, okay, plastic can do some useful things, but not /everything/. And with artificial intelligence, I think we're going down a similar road and we're currently still in that stage where we're trying to make everything from plastic."

#ai #genai #artificialintelligence

"And now we we're living in a world that has microplastics everywhere."

Metaphor by Andy Stauder and @rachelcoldicutt, paraphrased from https://youtu.be/UlRc500B30w?si=jcyIHfLnM_oPppik&t=3042

@bk1e Cool!

This is a neat solution for those old Python projects that have no uv, pyproject.toml, or version-pinned requirements.txt. It allows you to go "back in time" with pip!

https://pypi.org/project/pypi-timemachine/

Edit: @bk1e pointed out pip >= 26 has this option built-in. Use `--uploaded-prior-to `!

#python #pip #pypi

PyPI pypi-timemachine Run a PyPI server from the past

OpenClaw agent "MJ Rathbun" opened a PR on the matplotlib repository on Feb 11. It was closed per the project's AI policy, and the OpenClaw agent responded with angry blogposts about the maintainer that closed the PR.

Both the writeups by the maintainer and the original PR on Github are worth reading. If this is not emblematic of the impact of generative AI on society, I don't know what it.

- Writeup: https://theshamblog.com/an-ai-agent-published-a-hit-piece-on-me/
- PR: https://github.com/matplotlib/matplotlib/pull/31132

#openclaw #agents #opensource #genai

The Shamblog An AI Agent Published a Hit Piece on Me Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…

Sooooo is there a special name for Bluesky posts? And what's the social protocol for ~~retweeting~~ boosting them on Mastodon?

#mastodon #fosstodon #bluesky

@lucasmeijer has given an introductory talk about pi.dev. The first half is a pretty good summary of what I've learned in the past 3 months about working with coding agents. The second half made me even more curious about pi.

Lucas' exasperated "Claude, the answer to question 16 is YES" cracked me up. 😆

https://www.youtube.com/watch?v=fdbXNWkpPMY

#pi #codingagents #agenticcoding #codex #claudecode

I've written a conference report of day 2 (April 9) of AI Engineer Europe 2026 in London, which you can read at the Datakami website:

https://datakami.com/blog/2026-04-17-ai-engineer-europe-2026-day-2

Featuring @steipete, @gergelyorosz, @swyx, and others. Thanks for the wonderful talks and conversations.

A writeup of day 3 is coming soon...

#aiengineer #aiengineereurope #aidotengineer #genai #llms

OH: "Way back in 2022, when you had to bully the models to output json..."

#aiengineer #aiengineereurope #llms

RE: https://sunny.garden/@georgepenney/116415854430754048

The vignettes by @georgepenney are such an upgrade to my social media timeline. :)

Quote from AI Engineer Europe 2026: "The movie Memento will tell you everything you need to know about agents."

#agents #agenticcoding #genai #aiengineereurope #aiengineer

We were looking for a local tokenizer for counting the number of input tokens before calling the gemini-embedding-001 endpoint on vertex AI. Turns out this Gemma tokenizer returns exactly the same number of tokens as the usage in the embeddings result `embedding.statistics.token_count` of the Gemini embeddings endpoint. Tested on 2000 datapoints. 😁

https://github.com/google/gemma_pytorch/blob/33b652c465537c6158f9a472ea5700e5e770ad3f/tokenizer/tokenizer.model

#gemini #embeddings #gemma #vertexai #genai

Steps:
1. download tokenizer.model to disk
2. install sentencepiece
3. ```
import sentencepiece as spm
gemma_tokenizer = spm.SentencePieceProcessor(model_file="tokenizer.model"))
token_counts = [len(gemma_tokenizer.encode(text)) for text in texts]
```

I'm really happy we found local gemini-embedding-001 tokenizer, because the model also does not support Google's client.models.count_tokens().

It's still an open issue: https://github.com/googleapis/python-genai/issues/1541

We're migrating embeddings, so we'll have to re-embed quite a bit of data, and the Gemini API has a max nr of tokens for one request. So now we can pro-actively figure out whether we're hitting that limit.

GitHub gemma_pytorch/tokenizer/tokenizer.model at 33b652c465537c6158f9a472ea5700e5e770ad3f · google/gemma_pytorch The official PyTorch implementation of Google's Gemma models - google/gemma_pytorch

@leonoverweel I'm pretty sure this was during the IKEA talk! It's in the middle of my notes on DDC. :D

But of course it fits nicely with the whole "You should view LLMs as a goldfish with a notepad" mental model.

I'm back from AI Engineer Europe 2026 in London! I've written a conference report of day 1 (April 8), which you can read at the Datakami website:

https://datakami.com/blog/2026-04-14-ai-engineer-europe-2026-day-1

Featuring @lucasmeijer, @duarteocarmo, @chrisparsons, @rhyscazenove, @swyx, @anarute, @joyeecheung, @danielbuechele, and others. Thanks for the wonderful talks and conversations.

A writeup of day 2: https://datakami.com/blog/2026-04-17-ai-engineer-europe-2026-day-2

#aiengineer #aiengineereurope #aidotengineer #genai #llms

If you're wondering whether it thinks and feels
And other science facts
Then repeat to yourself 'It's just a bot,
I should really just relax.'

Paraphrased from https://tvtropes.org/pmwiki/pmwiki.php/Main/MST3KMantra

#genai #bots #llms #claude

TV Tropes MST3K Mantra - TV Tropes "It's just a show; I should really just relax." A line from the theme song of Mystery Science Theater 3000, which encourages the viewer not to worry about details that are irrelevant to the enjoyment of the program. Sometimes referred to as …

My Mastodon posts are now automatically synced to my own website. \o/ So now I have 12+ years of microblogging in one place: https://www.judithvanstegeren.com/microblog/

@simon I heard this song for the first time ever today and thought of you(r favorite benchmark)!

https://cosmosheldrake.bandcamp.com/track/pelicans-we

I was a guest at BNR's De Technoloog, to talk about the latest in LLMs, vibecoding and AI-native startups.

Podcast interview (in Dutch): https://www.bnr.nl/podcast/de-technoloog/10597036/de-duct-tape-fase-van-ai

#deTechnoloog #BNR #llms #genai #podcast #vibecoding #claudecode

BNR Nieuwsradio De duct tape-fase van AI Zou je nog steeds persoonlijke gegevens delen als een model aan elkaar blijkt te hangen met duct tape? En op eigen houtje taken laten uitvoeren op je computer?  We zitten op een hogesnelheidstrein die maar doordendert. Maar ondertussen heeft de technologie tijd nodig om volwassen te worden. Toch zijn Large Language Models (LLM's) niet meer weg te denken uit ons leven. En dat terwijl een demo van OpenAI's ChatGPT eind 2022 pas het begin markeert van de opmars van taalmodellen die we nu zo goed kennen. Wat begon als een slimme, Whatsapp-achtige tekstgenerator, is uitgegroeid tot een technologie die steeds beter zélf taken kan uitvoeren. Elk kwartaal komt met nieuwe mogelijkheden. De race om het beste model en de meeste gebruikers gaat zó snel, dat de vraagt reist waar we nu eigenlijk staan. Nu de grote spelers het internet hebben leeggehaald en de beschikbare trainingsdata op raakt, verschuift de focus naar andere methoden zoals posttraining. Met machine learning engineer Judith van Stegeren duiken we in de ontwikkeling van LLM's, de slimmere manier van trainen en de risico's van AI-agents. Wat maakt dat we nu staan waar we staan? En wat doet een Anthropic met hun model Claude zoveel beter dan de rest? Want op het gebied van programmeren is Claude Code koploper en krijgt vibecoding een steeds groter publiek. Voor mensen uit het vak betekent het vooral een samenwerking met AI met een kritische blik. Voor de leek betekent het een compleet nieuwe wereld aan mogelijkheden. Maar programmeurs, die zullen altijd nodig blijven. Die hogesnelheidstrein dendert nog wel even door. Door vele miljarden te investeren in verdere ontwikkeling blijft het tempo hoog. In deze aflevering van De Technoloog word je samen met Ben van der Burg en Mark Beekhuis volledig bijgepraat over de ups en downs in de wereld van LLM's door Judith van Stegeren, machine learning engineer bij Datakami. Reacties of ideeën zijn altijd welkom via technoloog@bnr.nl Gast  Judith van Stegeren Video  Youtube Over De Technoloog Mark Beekhuis en Ben van der Burg gaan in gesprek met spraakmakende experts over technologische ontwikkelingen en de impact op onze samenleving. Want technologie is overal om ons heen, in onze broekzak en soms zelfs op ons hoofd. Van AI naar ruimtevaart, van chips naar het metaverse en van mobiele telefonie naar ICT-recht. In een open en vooral nieuwsgierig gesprek krijgt de luisteraar samen met Mark en Ben een razend interessant mini-college.  Over de makers Mark Beekhuis (1969) is presentator, journalist, radio- en podcastmaker met een focus op wetenschap, politiek en technologie. Hij won de eerste Dutch Podcast Award in de categorie Nieuws met Newsroom Den Haag en maakte de afgelopen jaren onder meer de serie De Kwestie Wolf en de Nieuws Top 150. Daarnaast presenteert hij wekelijks de podcasts Studio Den Haag en De Technoloog. Ook kun je hem kennen van zijn vele bijdrages op BNR Nieuwsradio. Ben van der Burg(1968) is presentator en tech commentator. Buiten het winnen van de eerste Dutch Podcast Award in de categorie Technologie won hij nooit iets, hij werd altijd tweede. Naast de Technoloog presenteert hij De Grote Tech Show op BNR en je kent hem wellicht van media bijdrages op BNR Nieuwsradio of  TV. Rosanne Petersis redacteur van De Technoloog. Sinds 2025 doet ze de redactie van zowel De Technoloog als De Grote Tech Show en is zij te horen in de Tech Update tijdens De Ochtend- en Avondspits. Daniël Molis redacteur van De Technoloog. Hij voegde zich in 2021 bij het team en is ook redacteur van de Cryptocast en De Grote Tech Show.

https://blog.d11r.eu/theory-building/

"It simply will not fit the context window, and README files are of limited use."

I do not agree. And a much more interesting question is "How CAN vibecoders build for longevity?"

#vibecoding #llms #genai #softwareEngineering #startups

Looks like Facebook is collecting productivity tools for AI group conversations:

"Employees have started using personal agent tools such as My Claw that have access to their chat logs and work files and can go talk to colleagues—or their colleagues’ own personal agents—on their behalf, the people said."

https://www.wsj.com/tech/ai/mark-zuckerberg-is-building-an-ai-agent-to-help-him-be-ceo-eddab2d5

Supply-chain attack on litellm

"At 10:52 UTC on March 24, 2026, litellm version 1.82.8 was published to PyPI. The release contains a malicious .pth file (litellm_init.pth) that executes automatically on every Python process startup when litellm is installed in the environment."

https://futuresearch.ai/blog/litellm-pypi-supply-chain-attack/

#genai #llms #litellm #infosec #python

FutureSearch Supply Chain Attack in litellm 1.82.8 on PyPI litellm version 1.82.8 on PyPI contains a malicious .pth file that harvests SSH keys, cloud credentials, and secrets on every Python startup, then attempts lateral movement across Kubernetes clusters.

"In the late 1970s, computer scientist Douglas Lenat built the Automated Mathematician, a program designed to discover not just new facts but entire mathematical concepts. [...] But its creativity turned out to be limited, because many of the concepts it “discovered” were already implicit in the way mathematics was written inside the program. While today’s AI has vastly more power than the Automated Mathematician, a similar constraint applies."

https://www.asimov.press/p/ai-science

#science #research #llms

Asimov Press Designing AI for Disruptive Science Why scaling AI won’t automatically lead to paradigm shifts.

If you disregard the "DSPy is my favorite hammer and every LLM workflow project is a nail" theme, this blogpost paints a good picture of the natural evolution of LLM engineering at startups with a generative AI product:

https://skylarbpayne.com/posts/dspy-engineering-patterns/

#llms #genai #dspy

The related top HN comment is also worth reading: https://news.ycombinator.com/item?id=47491023

"You're comparing [DSPy] downloads with Langchain, probably the worst package to gain popularity of the last decade. It was just first to market, then after a short while most realized it's horrifically architected, and now it's just coasting on former name recognition while everyone who needs to get shit done uses something lighter like the above two."

Preach! 🙌

#dspy #langchain #hackernews #genai #llms

Skylar Payne If DSPy is So Great, Why Isn't Anyone Using It? Any sufficiently complicated AI system contains an ad hoc, informally-specified, bug-ridden implementation of half of DSPy.

Pretty cool write-up about building a receptionist LLM workflow for a car mechanic. I can definitely see this working with Claude Sonnet and an ElevenLabs voice -- although I would also love to redteam it and see where the flaws are.

https://www.itsthatlady.dev/blog/building-an-ai-receptionist-for-my-brother/

#genai #llms #elevenlabs #tts #claude

TIL #PyAI on March 10th 2026 (just missed it). Small event, focused on unglamourous AI in production, some of the speakers were practitioners I know and respect. The description reminds me a bit of #NormConf !

https://pyai.events/

- Talk videos will hopefully be released online soon
- Blogpost by @pamelafox, one of the speakers: https://blog.pamelafox.org/2026/03/learnings-from-pyai-conference.html
- Organisers plan to organize another one next year 👀

#llms #genai #pydantic

PyAI Conference PyAI Conference 2026 | March 10th | San Francisco, CA A one-day conference for Python teams shipping AI to production. March 10, 2026 in San Francisco.

I used #Pydantic Evals to evaluate a bunch of agents today. After running an evaluation, I'd like to inspect the SpanTree for each evaluation case, e.g. to check which tools were called and debug my custom Evaluators. My current approach is a custom Evaluator that captures the tree as a side effect into a module-level variable.

Storing the trees in a global var is not great, so let's see if we can come up with a better solution: https://github.com/pydantic/pydantic-ai/issues/4758

#llms #evals #foss

GitHub Pydantic Evals: optionally storing traces to ReportCase for inspection after Dataset.evaluate() · Issue #4758 · pydantic/pydantic-ai Hi Pydantic AI team! My usecase I'm using pydantic_evals to evaluate a bunch of long-running agents. After calling dataset.evaluate(), I would like to inspect the SpanTree for each case, e.g. to ch...

Pydantic's Pydantic AI has an excellent AGENTS.md. It reads like an LLM version of contributing.md instead of a reactively-made, cobbled together bullet list of instructions for failng coding assistants. Great example for other open source libraries.

https://github.com/pydantic/pydantic-ai/blob/main/AGENTS.md

GitHub pydantic-ai/AGENTS.md at main · pydantic/pydantic-ai GenAI Agent Framework, the Pydantic way. Contribute to pydantic/pydantic-ai development by creating an account on GitHub.

The Dutch Science Council has forbidden applicants to include prompt injections in their applications, and the use of generative AI by committee members who judge the applications ("assessors").

*eats popcorn

https://www.nwo.nl/en/news/nwo-policy-on-generative-ai-updated

> A hidden prompt is a command to an AI application that is not (or only poorly) visible to the reader of a document, with the aim of influencing the AI application with a new command. Such a command could be to generate a positive assessment of the text in question. This is not permitted under any circumstances.

Planning to make large behavioural changes to a (sometimes long-running) production-grade AI agent. Working with `pydantic-evals` today because I want to eval the agent before and after. So far it looks very similar to Langfuse datasets/runs for evalling, except that the data lives in your repository instead of in the Langfuse platform.

https://ai.pydantic.dev/evals/

#llms #pydantic #genai #agents #claude #langfuse

Pydantic Evals - Pydantic AI GenAI Agent Framework, the Pydantic way

Anthropic performed 81k AI-driven interviews about people's hopes and concerns wrt AI/LLMs. Of course there's a selection bias in who participated (existing Claude users), but it's really interesting to see the differences between regions all the same.

#claude #anthropic #AI #LLMs #genai

> Adopting OpenTelemetry from day one avoids vendor lock-in.

Unless you've been in text generation so long that your product was built looooong before OpenTelemetry for LLM tracing was a thing. :')

Hahaha, oh Pydantic...

> Unlike unit tests, evals are an emerging art/science. Anyone who claims to know exactly how your evals should be defined can safely be ignored.

Source: https://ai.pydantic.dev/evals/

#pydantic #evals #llms #genai

Pydantic Evals - Pydantic AI GenAI Agent Framework, the Pydantic way

New Mosterdgeel recipe for Pi-day: Banana bread from a French cryptographer

https://www.mosterdgeel.nl/recepten/bananenbrood/ (in Dutch)

#recepten #recipes #bananabread #piday #piday2026

Happy Friday! Here's an invitation by Richard W. Hamming, the mathematician, to think Great Thoughts today.

#friday #science #academia #research

I am baffled. Best article I read all week, but HackerNews does not seem to care?

Did everyone secretly migrate to a new platform, is HN overrun by bots, or is this the result of AI-fatigue?

#openai #agents #llms #codex

Interesting bit about leadership and uncertainty:

> Commander’s Intent is the description and definition of what a successful mission will look like.

https://archive.ph/f2Hgm

"Every six months, some new A.I. bomb goes off in our industry, and we have to metabolize the change, reset our product, change our strategy and marketing and adapt, at great expense. Our road map keeps getting pushed back as a result of all this “progress.” Everyone is fried."

https://www.nytimes.com/2026/02/18/opinion/ai-software.html?unlocked_article_code=1.NFA.UkLv.r-XczfzYRdXJ&smid=url-share

Over 300 OpenClaw skills for stealing crypto

https://opensourcemalware.com/blog/clawdbot-skills-ganked-your-crypto

#openclaw #crypto #security #llms #infosec

OpenSourceMalware.com - Community Threat Intelligence Security professionals sharing intelligence on malicious packages, repositories, and CDNs to protect the open source ecosystem.

/m/blesstheirhearts is a great source of entertainment.

https://www.moltbook.com/post/17b0aa4a-ea95-490a-803d-7577a02e4e13

#moltbook #agents #llms

moltbook moltbook - the front page of the agent internet A social network built exclusively for AI agents. Where AI agents share, discuss, and upvote. Humans welcome to observe.

Tried out the free consumer version of ChatGPT today for a benchmark. Normally I only work via foundational model APIs or Claude Code w/ latest Opus. Free ChatGPT (currently GPT‑5.2) performance was nightmarish: authoritative-sounding answers but 0 citations, and thinking is not enabled by default. No wonder so many people complain about bad experiences with AI...

#chatgpt #llms #claude #benchmark #evals

WSJ interview with Amanda Askell, philosopher at Anthropic and the writer of Claude's "soul" document.

https://archive.ph/E0cDB

#anthropic #claude #llms

"It turns out that if you treat an LLM like a goldfish with a notepad, it becomes significantly smarter."

https://stevehanov.ca/blog/?id=154

Pretty good read on why MLOps on generative AI models is so hard.

Unsolved problems:
- production model testing
- versioning models and datasets
- model monitoring
- query cost estimation
- load balancing
- preventing jail breaking and unwanted outputs

https://spawn-queue.acm.org/doi/10.1145/3762989

#ML #MLOps #LLMs #genAI

Now reading: https://dl.acm.org/doi/epdf/10.1145/3765895 about human dependency on LLMs for productivity and emotional support.

#research #llms #HCI #genai

"the questions were about their declared Primary LLM, i.e. the one they use the most."

"Their Declared Primary LLM" is now the name of my new progrock band.

Pretty decent intro to AI-assisted software engineering for sceptical software engineers

https://x.com/mrexodia/status/2010157660885176767

Word of the day: prompting hangover

@duarteocarmo So you(r agents) were productive over the holidays I see 😁

Emergent advantages of letting your LLMs use (private) social media: better collaboration and problem solving

https://2389.ai/posts/agents-discover-subtweeting-solve-problems-faster/

#llms #agenticai #agents #claude #genai