04-05 03:47 · 中东,局势,AlJazeera,中东
Authorities in New Iberia, Louisiana, have said the incident does not appear to be an intentional car-ramming.
An estimated 15 people have been injured in Louisiana’s Iberia Parish, after a car struck participants at a Lao New Year parade in the United States.
According to a statement from the Iberia Parish Sheriff’s Office on Saturday, some attendees were seriously injured.
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“Based on the preliminary investigation, this does not appear to be an intentional act,” said Rebecca Melancon, a sheriff’s office spokesperson.
The Acadian Ambulance company confirmed on social media that it had taken 11 people to the hospital using ground transport, and another two victims were airlifted to seek urgent care. Ten ambulances and two medical helicopters were deployed to the scene.
The incident took place in New Iberia, a city of more than 28,000 in Iberia Parish, some 34km (21 miles) south of Lafayette, Louisiana. It is situated roughly 214km (130 miles) west of New Orleans.
The Louisiana Lao New Year Festival parade is an annual tradition on Easter weekend in the parish, and the celebration features live music, food vendors and a beauty pageant.
In the aftermath of the car crash, the festival issued a statement on social media, saying that all of its security resources had been surged to the scene.
“We are profoundly saddened by the news of the incident near the festival grounds,” festival organisers wrote. “We are awaiting additional details from authorities as they become available.”
They added that Saturday’s musical events were cancelled, though vendors were permitted to stay open until 9pm local time (2:00am GMT, Sunday).
“We are praying for the victims and for their families during this difficult time,” the organisers wrote. “As of now, and if security resources are restored for tomorrow (Sunday) we will reopen only the religious services of the festival, and vendors will stay open.”
The Lao New Year is a tradition typically associated with Buddhism, and it takes place each year in April, as the dry heat in Laos gives way to the wet monsoon season.
Louisiana is home to a small but vibrant Lao community. In New Iberia, one neighbourhood is called Lanexang Village — roughly translated to the “million elephants” village — and it is reportedly home to hundreds of Lao people.
Many arrived as a result of the Vietnam War, which bled into Laos, with communist and US-backed forces clashing over the course of nearly 16 years.
The Pathet Lao, a communist movement, ultimately took over the country in 1975, ending Laos’s monarchy. Hundreds of thousands of people fled in the aftermath, with many resettling in countries like Thailand and the US.
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04-05 03:47 · 中东,局势,AlJazeera,中东
Company says move amid US-Israel war on Iran comes after a request from the US government.
The Iran war picture blackout | Digital Dilemma
Satellite imaging company Planet Labs has said it will indefinitely withhold visuals of Iran and the region of conflict in the Middle East to comply with a request from United States President Donald Trump’s administration.
The US company announced the decision in an email to customers on Saturday, with news agencies quoting it as saying the government had asked satellite imagery providers to impose an “indefinite withhold of imagery”.
The restriction expands upon a 14-day delay on imagery of the Middle East that Planet Labs implemented last month, which extended an initial 96-hour delay, a move the firm said was meant to prevent adversaries from using the imagery to attack the US and its allies.
Planet Labs said it will withhold imagery dating back to March 9 and that it expects the policy to remain in effect until the end of the war, which began on February 28 when the US and Israel launched aerial attacks against Iran. The conflict has since spread across the region, with Iran firing missile and drone barrages at Israel and US assets, as well as civilian infrastructure across the Gulf.
Planet Labs, which was founded in 2010 by former NASA scientists, said in its email to customers that it would switch to a “managed distribution of images” deemed not to pose a risk to safety.
Under a new system, Planet Labs will release imagery on a case-by-case basis for urgent, mission-critical requirements or in the public interest.
“These are extraordinary circumstances, and we are doing all we can to balance the needs of all our stakeholders,” the California-based company was quoted as saying.
Military uses of satellite technology include target identification, weapons guidance, missile tracking and communications. Some space specialists say Iran could be accessing commercial imagery, including pictures obtained via US adversaries. Satellite images also help journalists and academics studying hard-to-reach places.
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04-05 03:47 · 中东,局势,AlJazeera,中东
Iran says US-Israeli attacks on the Mahshahr Petrochemical Zone have killed five and wounded 170.
The US has “recovered” the second crew member from the downed F-15E jet in Iran following a “heavy firefight”, a US government official says.
US President Donald Trump warns that “all hell” will rain down on Iran if it does not reach a peace deal within 48 hours. Tehran rejects the “helpless and nervous” ultimatum.
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04-05 01:04 · 中东,局势,AlJazeera,中东
Iran says US-Israeli attacks on the Mahshahr Petrochemical Zone have killed five and wounded 170.
US President Donald Trump warns that “all hell” will rain down on Iran if it does not reach a peace deal within 48 hours. Tehran rejects the “helpless and nervous” ultimatum.
Iran says US-Israeli attacks have killed five people and wounded 170 others at the Mahshahr Petrochemical Zone. The attacks have targeted more than 30 universities since the beginning of the war.
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04-05 00:01 · AI,技术,HackerNews,AI
Mbodi AI (YC P25) Is Hiring
About Mbodi
Join Mbodi AI (YC X25), an AI robotics startup founded by two former Googlers committed to pushing the boundaries of physical intelligence. Mbodi is an embodied AI platform that makes robots learn and operate like humans. Anyone can teach robots new skills by talking to them — and execute those skills reliably in production within minutes.
We are pioneering the next wave of robotics, where AI agents meet physical world applications. Backed by top investors and working with global industrial partners, such as ABB, we’re redefining what’s possible in robotics and automation.
Role Overview
We’re looking for a Senior Robotics Engineer (Systems & Controls) to join our core team.
You will design and tune the systems that make robot behavior reliable under real-world constraints, turning task intent into stable, precise, production-grade motion on real hardware. This includes controller design, dynamics and system-response analysis, industrial hardware integration, and deployment through commissioning.
This is a hands-on role for someone equally comfortable with control design, motion behavior, hardware integration, and debugging across the full stack.
What You’ll Do
- Design and Tune Control Architectures: Design and tune controllers for robot motion using PID, feedforward, state-space methods, LQR, and MPC.
- First-Principles Modeling: Model system dynamics with block diagrams, transfer functions, and state-space methods; analyze stability, overshoot, settling time, damping, tracking error, and robustness.
- Motion Execution & OEM Interfacing: Build motion execution around industrial OEM controllers, accounting for latency, calibration error, joint limits, motion constraints, and fault handling.
- Lead System Integration: Integrate our platform with real-world industrial robotic systems across sensors, network interfaces, safety I/O, and hardware.
- Deploy and Commission: Own bring-up, validation, commissioning, and on-site issue resolution in production environments.
- Full-Stack Debugging: Debug failures across controls, software, networking, calibration, and hardware.
What We’re Looking For
- Applied Control Theory: Deep expertise in classical and modern control theory (Laplace transforms, frequency-domain analysis, LQR, MPC) with a proven track record of deploying these algorithms on physical hardware, not just in simulation.
- Strong Systems Intuition: A deep understanding of closed-loop system behavior, including stability, overshoot, tracking error, and robustness in messy physical environments.
- Hardware & Commissioning Experience: Hands-on experience integrating, tuning, and commissioning industrial robot hardware (ABB, Fanuc, KUKA, UR) in real-world or production settings.
- Software Engineering: 4+ years of experience in robotics software. Strong C++/Python skills, especially at the boundary between high-level task planning services and deterministic robot execution.
- Startup DNA: High agency, strong bias toward action, and the ability to thrive in a fast-paced, execution-focused environment.
Preferred Qualifications
- RAPID Proficiency: Deep experience programming and interfacing with ABB controllers via RAPID.
- ROS2 Proficiency: Strong experience building production-grade robotics pipelines in ROS2.
- Advanced Degree: PhD or equivalent experience in Robotics, Controls, Mechanical Engineering, Electrical Engineering, or a closely related field.
Compensation
Salary: $100K – $250K
Equity: 0.50% – 2.00%
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04-05 00:01 · AI,技术,HackerNews,AI
Electrical Transformer Manufacturing Is Throttling the Electrified Future
An explosion, a fireball and then darkness: Heathrow Airport uses as much energy as a small city, and when a major fire at a substation caused the power to fail late Thursday, the world learned how fragile our infrastructure can be. At the center of the chaos was a burning electrical transformer.
The transformer is rarely considered as a linchpin of today’s technologically interdependent world, let alone as a key to the even more electrified future. But it’s a device that’s essential to powering almost everything, and these days it’s not that easy to obtain. Replacing Heathrow’s charred transformer — or the countless others destroyed in storms, fire and floods on an increasingly volatile planet — will not see a quick fix. “There is a lead-time of over a year for a new transformer of this size,” says Conor Murphy, vice president of engineering at grid-technology firm Novogrid.
The astonishing Heathrow shutdown — leading to more than 1,000 canceled flights — traced back to a single point of failure is only the latest chapter of a story playing out all over the world. Without a transformer, projects of all kinds end up delayed with cascading consequences. In Europe, the shortage has throttled the buildout of cheap renewables, just as an energy crisis hit that caused electricity prices to spike.
In the US, the lack of transformers has slowed down recovery in the aftermath of extreme weather. It took seven months for businesses in the industrial corridor of eastern Tennessee hit by Hurricane Helene last year to resume their full power consumption.
At the other end of the state, meanwhile, transformers are causing headaches for tech companies that need new power-hungry data centers for artificial intelligence. The rise of a massive complex for Elon Musk’s xAI startup in Memphis, Tennessee, has forced a regional utility to go begging its peers for spare transformers to avoid delays.
This is the first story in Bottlenecks, a series examining the many obstacles slowing the transition to a cleaner, more electrified future.
Even comparably low-tech projects can end up hamstrung for want of a piece of equipment that’s been in widespread use for more than a century. In Houston, a project to construct 16 duplexes, where young adults fresh out of foster care move in and learn to live independently, spent a year and a half on hold before reaching completion last June. The cause was a missing transformer.
“You can’t build on a generator,” says Carole Brady, executive director of nonprofit HomeAid Houston. “It was holding up aid to young adults who were literally in trouble.”
The Covid-19 pandemic strained many supply chains, and most have recovered by now. The supply chain for transformers started experiencing troubles earlier — and it’s only worsened since. Instead of taking a few months to a year, the lead time for large transformer delivery is now three to five years. Among a basket of 47 goods needed to build grid infrastructure, transformers have seen the greatest increase in price — a near doubling since 2018, according to JPMorgan Asset Management.
“We are trying to solve for the unknown constantly,” says Kevin Doddridge, chief executive officer of Mississippi’s Northcentral Electric Cooperative. It was his company that helped out another utility in a pinch to accommodate the xAI data center, trucking spare units 60 miles south to Tallahatchie Valley Electric Power Association.
Transformers change voltage and make electricity safe to use. They can be as small as a household trash can or as large as a shipping container. They dot the landscape of every part of the inhabited globe, even in most places with insufficient access to electricity. Most people ignore them. Yet when it comes to making the grid work, these janky metal boxes with odd-shaped ceramic parts jutting out are as irreplaceable as electrical cables.
A bottleneck around the global supply of transformers spells trouble for sustaining infrastructure we have, from airports to homes, and for expanding emerging technologies we want such as AI as we enter the “age of electricity” as the International Energy Agency calls it. But the constraint is most ominous for what it will do to slow the necessary transition to clean energy, the best solution to rising temperatures.
Global average temperature last year breached 1.5C above pre-industrial levels, the first threshold identified in the 2015 Paris Agreement. Electrification is one of the most powerful ways to tackle climate change and prevent warming far past 2C, the fallback target set out by Paris. Electrical devices are more efficient than fuel-burning furnaces or combustion-powered cars, and the vast majority of new electricity generation being built around the world is carbon-free.
Electrification is also critical for economic growth. To a distressing extent, it’s not just widely discussed political issues but also hidden bottlenecks such as a scarcity of transformers that are holding back the energy transit
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04-05 00:01 · AI,技术,HackerNews,AI
Training mRNA Language Models Across 25 Species for $165
On top of that, we don't have a clear understanding on how certain positions (conformations) of a structure affect underlying biological mechanisms.
Yes, these models can predict surprisingly accurate structures and sequences. Do we know if these outputs are biologically useful? Not quite.
This technology is amazing, don't get me wrong, but to the average person they might see this and wonder why we can't go full futurism and solve every pathology with models like these.
We've come a long way, but there's still a very very long way to go.
0.https://pubmed.ncbi.nlm.nih.gov/35318324/
1.https://www.nature.com/articles/s41586-023-06127-z
I am a structural biologist working in pharmaceutical design and this type of thing could be wildly useful (if it works).
This guy shows a lot of how it's done:https://www.youtube.com/@thethoughtemporium
Basically you can design/edit/inject custom genes into things and see real results spending on the scale of $100-$1000.
Lab strains of things tend to be extremely sensitive and not human adapted. You shouldn't study and modify human-infecting organisms in your basement anyway. While you shouldn't ignore protective equipment and proper procedure... paranoia about infecting yourself with a lab leak isn't warranted.
JEPA is going to break the whole industry :D
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04-05 00:01 · AI,技术,HackerNews,大模型,AI
Show HN: sllm – Split a GPU node with other developers, unlimited tokens
Thank you for your support.
We've decided to move away from sllm. After working on the cohort model, we're choosing to step back rather than continue operating a product that couldn't reach the scale we needed.
To everyone who signed up, reserved a slot, or followed along: thank you. It meant a lot.
— The sllm team
FAQ
Will I be charged?
No. No cohort ever reached its activation threshold, so no subscriptions were billed. Any pre-authorized amounts have been voided and will drop off your statement within a few business days.
What happens to my account and data?
Because no cohort activated, there is no API usage or generated content on file — only your account details and reservation history. We'll delete all user data within 30 days. If you'd like an earlier deletion or an export, email us at the address below.
Is there a replacement you'd recommend?
For hosted open-weight models, Together, Fireworks, and Groq all offer pay-as-you-go access to Qwen, Llama, and similar models without the cohort wait.
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04-05 00:01 · AI,技术,HackerNews,大模型,AI
LLM Wiki – example of an "idea file"
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
The idea here is different. Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki — a structured, interlinked collection of markdown files that sits between you and the raw sources. When you add a new source, the LLM doesn't just index it for later retrieval. It reads it, extracts the key information, and integrates it into the existing wiki — updating entity pages, revising topic summaries, noting where new data contradicts old claims, strengthening or challenging the evolving synthesis. The knowledge is compiled once and then kept current, not re-derived on every query.
This is the key difference: the wiki is a persistent, compounding artifact. The cross-references are already there. The contradictions have already been flagged. The synthesis already reflects everything you've read. The wiki keeps getting richer with every source you add and every question you ask.
You never (or rarely) write the wiki yourself — the LLM writes and maintains all of it. You're in charge of sourcing, exploration, and asking the right questions. The LLM does all the grunt work — the summarizing, cross-referencing, filing, and bookkeeping that makes a knowledge base actually useful over time. In practice, I have the LLM agent open on one side and Obsidian open on the other. The LLM makes edits based on our conversation, and I browse the results in real time — following links, checking the graph view, reading the updated pages. Obsidian is the IDE; the LLM is the programmer; the wiki is the codebase.
This can apply to a lot of different contexts. A few examples:
- Personal: tracking your own goals, health, psychology, self-improvement — filing journal entries, articles, podcast notes, and building up a structured picture of yourself over time.
- Research: going deep on a topic over weeks or months — reading papers, articles, reports, and incrementally building a comprehensive wiki with an evolving thesis.
- Reading a book: filing each chapter as you go, building out pages for characters, themes, plot threads, and how they connect. By the end you have a rich companion wiki. Think of fan wikis like Tolkien Gateway — thousands of interlinked pages covering characters, places, events, languages, built by a community of volunteers over years. You could build something like that personally as you read, with the LLM doing all the cross-referencing and maintenance.
- Business/team: an internal wiki maintained by LLMs, fed by Slack threads, meeting transcripts, project documents, customer calls. Possibly with humans in the loop reviewing updates. The wiki stays current because the LLM does the maintenance that no one on the team wants to do.
- Competitive analysis, due diligence, trip planning, course notes, hobby deep-dives — anything where you're accumulating knowledge over time and want it organized rather than scattered.
There are three layers:
Raw sources — your curated collection of source documents. Articles, papers, images, data files. These are immutable — the LLM reads from them but never modifies them. This is your source of truth.
The wiki — a directory of LLM-generated markdown files. Summaries, entity pages, concept pages, comparisons, an overview, a synthesis. The LLM owns this layer entirely. It creates pages, updates them when new sources arrive, maintains cross-references, and keeps everything consistent. You read it; the LLM writes it.
The schema — a document (e.g. CLAUDE.md for Claude Code or AGENTS.md for Codex) that tells the LLM how the wiki is structured, what the conventions are, and what workflows to follow when ingesting sources, answering questions, or maintaining the wiki. This is the key configuration file — it's what makes the LLM a disciplined wiki maintainer rather than a generic chatbot. You and the LLM co-evolve this over time as you figure out what works for your domain.
Ingest. You drop a new source into the raw collection and tell the LLM to process it. An example flow: the LLM reads the source, discusses key takeaways with you, writes a summary page in the wiki, updates the index, updates relevant entity and concept pa
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04-05 00:01 · 中东,局势,AlJazeera,中东
Authorities say at least 30 universities impacted by US and Israeli strikes since the start of the war.
Tehran, Iran – Inside the sprawling Shahid Beheshti University in northern Tehran, a research centre lies in ruins after warplanes bombed it.
The attack on Friday on the Laser and Plasma Research Institute of the elite higher education facility is part of a growing pattern of civilian sites targeted by the United States and Israel in their war on Iran.
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There were no casualties at the university because it was mostly empty after all classes across the country were moved online by the government until further notice. Dormitories nearby were lightly damaged.
The US and Israel did not officially divulge the rationale behind the attack, but Mohammad Mehdi Tehranchi, a senior theoretical physicist and nuclear scientist who was assassinated during the opening salvo of Israel’s 12-day war in June, was the director of a magneto-photonics lab there.
“This hostile act not only targets the security of academics and the country’s scientific environment, but is also a clear attack on reason, research, and freedom of thought,” the university said in a statement, calling on international peers to raise awareness about similar strikes.
Hossein Simaei Saraf, minister of science, research and technology, told reporters at the research centre on Saturday that parts of at least 30 universities have so far been impacted by US and Israeli strikes since the start of the war on February 28.
He said Iranian scientists have been targets for decades and pointed out that several more Shahid Beheshti University professors were assassinated by Israel during the 12-day war.
“Attacking universities and research centres means returning to the Stone Age,” the minister said in reference to a threat by US President Donald Trump to bomb Iran “back to the Stone Ages” by systematically hitting its infrastructure, including power plants.
Another major university attacked during the ongoing war was Tehran’s Science and Technology University, which saw one of its research centres reduced to rubble and other departments damaged a week ago. The facility worked on developing domestically made satellites.
The US and Israel also attacked the Pasteur Institute in downtown Tehran, which was founded more than 100 years ago in collaboration with the internationally renowned Institut Pasteur in Paris but now operates independently.
The institute works on infectious diseases, producing vaccines and biological products and providing advanced diagnostics.
The World Health Organization (WHO), which works with two of the institute’s departments as collaborating centres, confirmed that the institute “sustained significant damage and was rendered unable to continue delivering health services” but said no one was killed.
More than 20 attacks have targeted healthcare facilities in Iran since the start of March, WHO Director General Tedros Adhanom Ghebreyesus said on Friday, also pointing to the Delaram Sina Psychiatric Hospital, which sustained significant damage in a strike on Sunday.
A major pharmaceutical company was hit near Tehran this week. Iran’s government said the attack aimed to affect medicine supply lines while Israel claimed the company was linked to the production of chemical weapons.
US and Israeli attacks have also impacted schools, houses and businesses across the country, killing more than 2,000 people, according to Iranian authorities. Fighter jets flew at low altitudes over Tehran on Friday night, launching strikes that lit up the mountainous areas north of the capital.
Petrochemicals, steel factories destroyed
As a defiant Iran continues to block the Strait of Hormuz despite Trump’s repeated demands to reopen the waterway, the US and Israel are increasingly focusing their air attacks on economic targets that could have widespread ramifications for Iranian civilians.
Heavy bombardment on Saturday targeted the economic zone in the oil-rich city of Mahshahr, one of Iran’s most important industrial hubs and a key source of export revenue.
Multiple refineries were significantly damaged, and a local official said at least five people were wounded.
This comes a day after Israeli Prime Minister Benjamin Netanyahu boasted that his military has “destroyed 70 percent of Iran’s steel production capacity” after putting two top manufacturers, including the largest in the Middle East, out of commission with multiple rounds of devastating strikes.
On the same day, two rounds of large air raids significantly damaged the B1 bridge near Tehran. At least eight people were killed and more than 90 wounded in the attack, which came while a large number of civilian families were spending Sizdah Bedar, or Nature Day, together in the area.
The recently completed 136-metre-high (446ft-high) suspension
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