We went on a 14 kilometers long hike in the heat, only a few spots were in the shade, most of our trip was in the open fields with the sun beating down on us. We reapplied the sun blocker after about two hours or so. All in all it took us about three and a half hours before we reached our destination Besigheim.

Last time I was there it was rainy, now we had the exact opposite. After some yummy Chinese lunch we visited the old town. There’s some gorgeous timer framing to see. When kept in decent shape, it just looks so dang cool.

Since it was too hot, we rode back by train. Despite the heat and some sections near the roaring Autobahn, this was a nice hike. Would do it again. Only in colder weather, though. I certainly don’t wanna trade my comperatively larger (still nothing to other more rural areas), covering forests with the wide open fields and vineyards in summer. That’s for sure.

Image

https://lyse.isobeef.org/wanderung-von-asperg-nach-besigheim-2025-05-01/

LLMs can see and hear without any training
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The Rise and Fall and Rise Again of Lionel Trains (1997)
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Tell HN: Warning Google trains on your data when using aistudio.google.com
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France’s new high-speed train has Americans asking: Why can’t we have that?
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Serious issues in Llama 4 training. I Have Submitted My Resignation to GenAI”
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Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual)
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yeah! I’ve passed the critical point at factorio… I managed to automate blue science, trains and oil production… now it’s a great fun again…

MS-DOS and Windows 3.11 still run train dashboards at German railway (Jan’24)
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Short summary of Project2025 and Trump’s plans for the US:

• Abolish the Federal Reserve
  Why? To end what is seen as an unelected, centralized body that exerts too much influence over the economy and monetary policy, replacing it with a more transparent, market-driven approach.

• Implement a national consumption tax
  Why? To replace the current federal income tax system, simplify taxation, and increase government revenue through a broader base that includes all consumers.

• Lower corporate tax rates
  Why? To promote business growth, increase investment, and stimulate job creation by reducing the financial burden on companies.

• Deregulate environmental policies
  Why? To reduce government intervention in the economy, particularly in energy and natural resources sectors, and to foster a more business-friendly environment.

• Restrict abortion access
  Why? To align with conservative pro-life values and overturn or limit abortion rights, seeking to restrict the practice at a federal level.

• Dismantle LGBTQ+ protections
  Why? To roll back protections viewed as promoting LGBTQ+ rights in areas like employment and education, in line with traditional family values.

• Eliminate diversity, equity, and inclusion (DEI) programs
  Why? To end policies that are seen as divisive and to promote a merit-based system that prioritizes individual achievements over group identity.

• Enforce stricter immigration policies, including mass deportations and detentions
  Why? To prioritize border security, reduce illegal immigration, and enforce existing laws more aggressively, as part of a broader strategy to safeguard U.S. sovereignty.

• Eliminate the Department of Education
  Why? To reduce federal control over education and shift responsibilities back to local governments and private sectors, arguing that education decisions should be made closer to the community level.

• Restructure the Department of Justice
  Why? To ensure the department aligns more closely with the administration’s priorities, potentially reducing its scope or focus on areas like civil rights in favor of law-and-order policies.

• Appoint political loyalists to key federal positions
  Why? To ensure that government agencies are headed by individuals who are committed to advancing the administration’s policies, and to reduce the influence of career bureaucrats.

• Develop training programs for appointees to execute reforms effectively
  Why? To ensure that political appointees are equipped with the knowledge and skills necessary to implement the proposed changes quickly and effectively.

• Provide a 180-day transition plan with immediate executive orders
  Why? To ensure that the incoming administration can swiftly implement its agenda and make major changes early in its term without delay.

Do y’all agree with any/all/some of these poliices? Hmmm 🤔

#Project2025 #US #Trump

@prologic@twtxt.net That boycott didn’t last very long, eh!?

Yeah, sounds like another hype train arriving at the station.

OpenAI doesn’t like it when you use “their” generated slop without permission
OpenAI says it has found evidence that Chinese artificial intelligence start-up DeepSeek used the US company’s proprietary models to train its own open-source competitor, as concerns grow over a potential breach of intellectual property. ↫ Cristina Criddle and Eleanor Olcott for the FT This is more ironic than writing a song called Ironic that lists situations that aren’t actually … ⌘ Read more

OpenAI Says It Has Evidence DeepSeek Used Its Model To Train Competitor
OpenAI says it has evidence suggesting Chinese AI startup DeepSeek used its proprietary models to train a competing open-source system through “distillation,” a technique where smaller models learn from larger ones’ outputs.

The San Francisco-based company, along with partner Microsoft, blocked suspected DeepSeek accounts from accessing … ⌘ Read more

Pinellas County Cycling: 7.75 miles, 00:05:28 average pace, 00:42:22 duration
cross training
#cycling

Pinellas County Running: 5.03 miles, 00:09:19 average pace, 00:46:55 duration
easy five to complete the first week of marathon training. my left glute/hip had some twinges
#running

Pinellas County Running: 3.14 miles, 00:09:12 average pace, 00:28:55 duration
third day of training with just a base run. definitely feeling the squats and lunges i did two days ago!
#running

Pinellas County Running: 3.12 miles, 00:08:53 average pace, 00:27:44 duration
first day of marathon training. i do not have a race in mind but wanted to start training again. was going too fast but 48F and just feeling overall good.
#running

Bluesky’s Open API Means Anyone Can Scrape Your Data for AI Training. It’s All Public
Bluesky says it will never train generative AI on its users’ data. But despite that, “one million public Bluesky posts — complete with identifying user information — were crawled and then uploaded to AI company Hugging Face,” reports Mashable (citing an article by 404 Media).

“Shortly after the article’s p … ⌘ Read more

Easy run: 5.06 miles, 00:09:43 average pace, 00:49:08 duration
kept it easy. legs were a bit tired, but wanted to enjoy the weather. not sure if i should start training again for a marathon just in case or just wing it.
#running

I had to go to the office today and both train rides worked out just fine. Surprising!

OpenAI, Google, Anthropic admit they can’t scale up their chatbots any further

Once you’ve trained your large language model on the entire written output of humanity, where do you go?

https://pivot-to-ai.com/2024/11/14/openai-google-anthropic-admit-they-cant-scale-up-their-chatbots-any-further/

So we’re going to destroy the environment for AI slop that isn’t fit for purpose now and, if you believe the above post, never will be.

Portion of the modified Twitter TOS that goes into effect today (it’s on right now), as summarised (ironically) by Google’s Gemini:

“In simpler terms, this means that when you share your content (like text, images, or videos) on the service, you’re giving the company permission to use it in various ways. They can copy, modify, distribute, and even use it to train their AI models. This includes sharing your content with others and using it on other platforms. You won’t be paid for this, but using the service itself is considered enough compensation.”

I like this comment on Slashdot in the above link:

LLMs don’t have an understanding of anything. They can only regurgitate derivations of what they’ve been trained on and can’t apply that to something new in the same ways that humans or even other animals can. The models are just so large that the illusion is impressive.

So true.

hop, entraînement terminé, j’ai fait le plein d’énergie avant d’aller donner un sang de qualitté ^^ #EFS #dondusang. Le niveau 7 de la méthode #lafay est par contre trop longue, je n’ai pas assez de temps pour faire ça bien. Tant pis dans ce cas, retour à la n°6 et j’y ajouterai 1 exercice jusqu’à épuisement tiré au sort. Ou alors je ressort le #TRX, il faut qu eje trouve où l’accrocher. #sport #training

Insecure Robot Vacuums From Chinese Company Deebot Collect Photos and Audio to Train Their AI
Long-time Slashdot reader schwit1 shared this report from Australia’s public broadcaster ABC:

Ecovacs robot vacuums, which have been found to suffer from critical cybersecurity flaws, are collecting photos, videos and voice recordings — taken inside customers’ houses — to train the company’ … ⌘ Read more

@bender@twtxt.net Ha! Maybe I should get on the Markdown train. You’re taking away my excuses.

Pinellas County - Zone 2: 5.86 miles, 00:13:01 average pace, 01:16:16 duration
just some “training” in the humidity and such trying to keep it in the blue zone. frustrating! felt fine though.
#running

@prologic@twtxt.net I don’t know what you mean when you call them stochastic parrots, or how you define understanding. It’s certainly true that current language models show an obvious lack of understanding in many situations, but I find the trend impressive. I would love to see someone achieve similar results with much less power or training data.

Regarding complexity budget, slow software, all that:

Very few people do take pride in building simple, elegant, high-quality systems, do they? Why is that? Why are huge shiny things with tons of features more attractive? 🤔

I never explicitly thought about this, to be honest. It was only at the back of my head. And I never tried to teach our younger “students” at work: “Hey, it’s a great achievement to build something simple and elegant. That’s something to be proud of!”

Worse, simple software is often described as “boring”. Yes, in a way, it is boring, because your brain doesn’t have to get into overdrive to understand it. But that’s exactly the point. And it’s hard to achieve that! Simple software isn’t just “fewer lines of code”, you have to be pretty clever to solve a problem in a simple and elegant way. So it’s something to be proud of.

Could this be an intuitive, emotional way to get more people on board the “simple software”-train? 🤔

Pinellas County Running: 3.16 miles, 00:08:30 average pace, 00:26:52 duration
aiming for whatever felt easy. the humidity really was heavy with a light fog. woke up with no real pain and it was not until the end of the run where i felt a slightly sharp pain around my left glute and a bit in the left hip as well. thinking i need to reduce mileage a bit and try to train around it until i feel good enough to get back in to a routine again.
#running

Here comes the train, through the twigs while the birds wait

Hello to the train pulling through the park on its way to the grain mill.

My email is such a cluster of noise. The only time i actually use it is to find out I have to do my security training or something. All communication is slack now days.

@movq@www.uninformativ.de Haha! yeah sounds about like my HS CS program. A math teacher taught visual basic and pascal. and over on the other end of the school we had “electronics” which was a room next to the auto body class where they had a bunch of random computer parts scavenged from the district decommissioned surplus storage.

The advanced class would piece together training kits for the basic class to put together.

Pinellas County - Long Run: 8.50 miles, 00:08:53 average pace, 01:15:32 duration
nice run in the rain. spoke to a soldier humping his way through the park in preparation for special forces training. overall run was great, but i did land funny on my left leg which made it sore for the next day or so.
#running

St Petersburg Distance Classic Marathon: 26.41 miles, 00:11:23 average pace, 05:00:39 duration
first marathon down. everything that could go wrong did. honestly i am just proud i did not quit. now i have to look at the run and figure out what i can tweak or add to my training. had a cramp start in my right quad at around mile 15. then around mile 18 both of my calves started to feel odd as if someone was lightly strumming my tendons. then they seized! this continued for the remainder of the marathon where i would walk then try to run and then stop when i had to. then during the entirety of the pace my nose would not stop dripping making it difficult to breathe. ha! also my shorts almost came down twice and i had to re-tie them while carrying my handheld water in my teeth. seriously, so many things i did not expect and had not happened in any previous runs.

really happy to be able to eat spicy food and have some alcoholic beverages again though!
#running #race

Pinellas County - Easy: 5.05 miles, 00:09:08 average pace, 00:46:08 duration
everything clicked today. kept a steady but mildly progressive pace whilst keeping the heart rate in zone 2 for the most part. nothing felt strained and breathing was easy. this one was a great boost in confidence seeing the progress made in the training and very happy with it.
#running

Having fun with React - yet again. A large part of my job entails (re)learning technologies - luckily I have access to some good resources in the form of training- and tutorial sites, all provided by my employer.

Pyramids: 5.39 miles, 00:10:53 average pace, 00:58:37 duration
called it early due to spicy food and opted for treadmill. was trying to get to zone 5 and was sure the pace would get me there at the peak, but barely reached threshold with conditions. curious if i was outside how different it would have been. new training block. 10:55, 9:41, 6:59
#running #treadmill

SPRF Half Marathon: 13.20 miles, 00:09:29 average pace, 02:05:12 duration
still host and humid (no surprise) but more cloud cover today. no kids but beth came and was able to cheer me on in a couple of places which was fun. the last bit she yelled “five to go!” which kind of got in my head a bit, albeit i think the heat started to get to me as well. had to take a couple of brief walks just to recollect and focus again. pretty good training run. keeping it in the green for the most part and around marathon pace. can’t wait to see how cooler weather and more training will pay off!
#running #race

Pinellas County - Fartlek: 6.02 miles, 00:09:01 average pace, 00:54:16 duration
fartlek was fun and seemed to lock in at 8:00 pace easily. first day of marathon training!
#running

Winter Haven - Long run: 10.34 miles, 00:09:53 average pace, 01:42:09 duration
great weather. i did not sleep great but the body felt refreshed. hit all my paces i wanted and kept the heart rate where i needed to. stopped when i could have gone more but marathon training starts tomorrow.
#running

why am I not surprised?… https://uk.pcmag.com/ai/147757/elon-musk-will-train-his-ai-project-using-your-tweets

@marado@twtxt.net It can’t possibly be defensible, which to me always signals an attempt at a power grab. They never explicitly said “we will use anything we scrape from the web to train our AI” before–that’s new. There is growing pushback against that practice, with numerous legal cases winding through the legal system right now. Some day those cases will be heard and decided on by judges. So they’re trying to get out ahead of that, in my opinion, and cement their claims to this data before there’s a precedent set.

Most of the can run locally have such a small training set they arnt worth it. Are more like the Markov chains from the subreddit simulator days.

There is one called orca that seems promising that will be released as OSS soon. Its running at comparable numbers to OpenAI 3.5.

https://youtube.com/watch?v=Dt_UNg7Mchg&feature=share9

Home | Tabby This is actually pretty cool and useful. Just tried this on my Mac locally of course and it seems to have quite good utility. What would be interesting for me would be to train it on my code and many projects 😅

@prologic@twtxt.net You more or less need a data center to run one of these adequately (well, train…you can run a trained one with a little less hardware). I think that’s the idea–no one can run them locally, they have to rent them (and we know how much SaaS companies and VCs love the rental model of computing).

There’s a lot of promising research-grade work being done right now to produce models that can be run on a human-scale (not data-center-scale) computing setup. I suspect those will become more commonly deployed in the next few years.

@prologic@twtxt.net It’s a fun challenge to see how many words you can say without expressing any ideas at all. Maybe this GPT stuff should be trained to do that!

I was listening to an O’Reilly hosted event where they had the CEO of GitHub, Thomas Dohmke, talking about CoPilot. I asked about biased systems and copyright problems. He, Thomas Dohmke, said, that in the next iteration they will show name, repo and licence information next to the code snippets you see in CoPilot. This should give a bit more transparency. The developer still has to decide to adhere to the licence. On the other hand, I have to say he is right about the fact, that probably every one of us has used a code snippet from stack overflow (where 99% no licence or copyright is mentioned) or GitHub repos or some tutorial website without mentioning where the code came from. Of course, CoPilot has trained with a lot of code from public repos. It is a more or less a much faster and better search engine that the existing tools have been because how much code has been used from public GitHub repos without adding the source to code you pasted it into?

@carsten@yarn.zn80.net yeesh, it’s a for-pay company I wouldn’t give them the output of your mind for free and train their AI for them.