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1 month left to submit nominations for Startup Battlefield 200 | TechCrunch


Here’s your shot across the bow — there’s a little over one month left to nominate your startup for Startup Battlefield 200 at Disrupt. Join this elite group for a new and awesome opportunity at TechCrunch Disrupt. It’s positively packed with perks and possibilities to get your company to the next level.

Don’t delay: Apply to the Startup Battlefield 200 by June 10 at 11:59 p.m. PDT.

TechCrunch editors will vet every application, and the companies they choose for this curated cohort will be the only startups allowed to exhibit at Disrupt. From that cohort, TechCrunch will select 20 companies to be the Startup Battlefield pitch competition finalists.

We mentioned perks. Check out what SB200 startups will enjoy at Disrupt, taking place October 28-30 in San Francisco:

Full, free access to Disrupt: SB200 founders attend Disrupt for free and receive VIP access to all the presentations, breakouts and roundtables.

Free exhibition space for all three days of the show: The SB200 will be the only early-stage startups allowed to exhibit at Disrupt.

Investor interest and media exposure: The TechCrunch seal of approval is not easy to earn, and it carries weight in the startup world. You can bet investors hunting for future unicorns and journalists looking for the next big story will gravitate to the SB200.

Workshops and pitch training: SB200 founders will be invited to exclusive workshops and masterclasses. They’ll also receive special pitch training from TechCrunch staff.

Flash-pitch in front of investors and TechCrunch editors: That special training will come in handy when it’s time to make your pitch count. You’ll receive invaluable feedback, and who knows? You might even catch an investor’s interest.

A shot at competing for $100,000 in Startup Battlefield: We saved the best for last. TechCrunch editors will select 20 startups from the SB200 to be Startup Battlefield finalists. Founders from those 20 companies will receive private pitch coaching, will be featured on TechCrunch and will pitch live onstage in front of the entire Disrupt audience. The winner takes home the $100,000 equity-free prize and all the glory.

TechCrunch Disrupt takes place in San Francisco on October 28-30. See you there!

Is your company interested in sponsoring or exhibiting at TechCrunch Disrupt 2024? Contact our sponsorship sales team by filling out this form.


Software Development in Sri Lanka

Robotic Automations

Meta confirms that its Llama 3 open source LLM is coming in the next month | TechCrunch


At an event in London on Tuesday, Meta confirmed that it plans an initial release of Llama 3 — the next generation of its large language model used to power generative AI assistants — within the next month.

This confirms a report published on Monday by The Information that Meta was getting close to launch.

“Within the next month, actually less, hopefully in a very short period of time, we hope to start rolling out our new suite of next-generation foundation models, Llama 3,” said Nick Clegg, Meta’s president of global affairs. He described what sounds like the release of several different iterations or versions of the product. “There will be a number of different models with different capabilities, different versatilities [released] during the course of this year, starting really very soon.”

The plan, Meta Chief Product Officer Chris Cox added, will be to power multiple products across Meta with Llama 3.

Meta has been scrambling to catch up to OpenAI, which took it and other big tech companies like Google by surprise when it launched ChatGPT over a year ago and the app went viral, turning generative AI questions and answers into everyday, mainstream experiences.

Meta has largely taken a very cautious approach with AI, but that hasn’t gone over well with the public, with previous versions of Llama criticized as too limited. (Llama 2 was released publicly in July 2023. The first version of Llama was not released to the public, yet it still leaked online.)

Llama 3, which is bigger in scope than its predecessors, is expected to address this, with capabilities not just to answer questions more accurately but also to field a wider range of questions that might include more controversial topics. It hopes this will make the product catch on with users.

“Our goal over time is to make a Llama-powered Meta AI be the most useful assistant in the world,” said Joelle Pineau, vice president AI Research. “There’s quite a bit of work remaining to get there.” The company did not talk about the size of the parameters it’s using in Llama 3, nor did it offer any demos of how it would work. It’s expected to have about 140 billion parameters, compared to 70 billion for the biggest Llama 2 model.

Most notably, Meta’s Llama families, built as open source products, represent a different philosophical approach to how AI should develop as a wider technology. In doing so, Meta is hoping to play into wider favor with developers versus more proprietary models.

But Meta is also playing it more cautiously, it seems, especially when it comes to other generative AI beyond text generation. The company is not yet releasing Emu, its image generation tool, Pineau said.

“Latency matters a lot along with safety along with ease of use, to generate images that you’re proud of and that represent whatever your creative context is,” Cox said.

Ironically — or perhaps predictably (heh) — even as Meta works to launch Llama 3, it does have some significant generative AI skeptics in the house.

Yann LeCun, the celebrated AI academic who is also Meta’s chief AI scientist, took a swipe at the limitations of generative AI overall and said his bet is on what comes after it. He predicts that will be joint embedding predicting architecture (JEPA), a different approach both to training models and producing results, which Meta has been using to build more accurate predictive AI in the area of image generation.

“The future of AI is JEPA. It’s not generative AI,” he said. “We’re going to have to change the name of Chris’s product division.”


Software Development in Sri Lanka

Robotic Automations

MIT tool shows climate change could cost Texans a month and a half of outdoor time by 2080 | TechCrunch


There are a lot of ways to describe what’s happening to the Earth’s climate: Global warming. Climate change. Climate crisis. Global weirding. They all try to capture in different ways the phenomena caused by our world’s weather systems gone awry. Yet despite a thesaurus-entry’s worth of options, it’s still a remarkably difficult concept to make relatable.

Researchers at MIT might finally have an answer, though. Instead of predicting Category 5 hurricanes or record heat days, they’ve developed a tool that allows people to see how many “outdoor days” their region might experience from now through 2100 if carbon emissions growth remains unchecked.

The results might be alarming or comforting, depending on where you live.

For people in California or France or Germany, things don’t look so bad. The climate won’t be quite as hospitable in the summers, but it’ll grow a little bit more clement in the spring and fall, adding anywhere from a few days to nearly a month of outdoor weather compared with historical records. The U.K. will be even better off, gaining 40 outdoor days by the end of the century.

Not everyone will come out ahead, though. Some temperate places like New York, Massachusetts, China and Japan will lose a week or more of outdoor days. Elsewhere, the picture looks even more dire. Illinois will lose more than a month of outdoor days by the 2080s as the summers grow unbearably hot. Texas will lose a month and a half for the same reason.

Yet it’s the countries with some of the most vulnerable populations that’ll suffer the most (as scientists have been warning). Nigeria’s summers will grow even hotter and longer, lopping off nearly two months of outdoor days. India will lose almost two and a half months.

It doesn’t have to be that way. Even if the world fails to reach net zero carbon emissions by 2050 — but still manages to by 2070 — the situation will improve dramatically. Both Nigeria and India would only lose one month of outdoor days, and more northerly regions would retain some of their added outdoor days.

Assessing risk

The MIT tool is a relatable application of a field of study known as climate scenario analysis, a branch of strategic planning that seeks to understand how climate change will impact various regions and demographics. It’s not a new field, but as advances in computational power have fostered more sophisticated climate models, it has become more broadly applicable than before.

A range of startups are using this relatively newfound predictive capability to help give shape to an uncertain future.

Many startups in the space are focused on tackling that uncertainty for investors, lenders and insurers. Jupiter Intelligence, Cervest and One Concern all focus on those markets, supplying customers with dashboards and data feeds that they can tailor to regions or even assets of interest. The startups also determine the risk of flood, wildfire and drought, and they’ll deliver reports detailing risk to assets and supply chains. They can also crank out regulatory disclosures, highlighting relevant climate risks.

Investors and insurers are sufficiently worried about how climate change will affect assets and supply chains that these startups have attracted some real cash. Jupiter intelligence has raised $97 million, according to PitchBook, while Cervest has raised $43 million and One Concern has brought in $152 million.

While major financial institutions are an obvious customer base for climate forecasting companies, other markets exposed to the outdoors are also in need of solutions.

ClimateAI is targeting agriculture, including agribusiness, lenders, and food and beverage companies, all of which have watched as droughts, floods and storms have decimated crops. As a result, water risk assessment is a key feature of ClimateAI’s forecasts, though it provides other weather and climate-related data, too. The startup has raised $37 million so far, per PitchBook.

Sensible Weather is working on markets that are a little closer to home for most of us. It provides insurance for people embarking on outdoor events and activities, from live concerts to camping and golfing. It works with campgrounds, golf courses, live event operators and more, allowing them to give customers an option to insure their outing against inclement weather. It’s an approach that’s landed the startup $22 million in funding, according to PitchBook.

As more businesses and consumers become aware of how climate change is affecting their lives, their demand for certainty will create a wealth of new markets that will offer these startups and their peers ample opportunity to expand. Climate scenario analysis, once a niche limited to academic labs and insurance companies, appears poised to enter the mainstream.


Software Development in Sri Lanka

Robotic Automations

Tesla drops FSD price to $99 per month in US | TechCrunch


Tesla has slashed the price of its Full Self-Driving (FSD) software subscription to $99 per month, down from $199 per month, as the electric vehicle maker aims to boost adoption of its advanced driver assistance system ahead of first-quarter earnings.

The price cut comes a couple of weeks after Tesla launched a free one-month trial of FSD for every customer in the U.S. with a compatible Tesla. That trial is still ongoing. Formerly known as FSD Beta, Tesla is now referring to the software as ‘Supervised FSD’ to make it clear that the software doesn’t turn Teslas into autonomous vehicles and human drivers still need to supervise the not-so-self-driving software.

FSD can handle certain advanced driving tasks like making lane changes, navigating around vehicles and objects, following a driver’s navigation route and more.

The FSD price cut comes the same week that Tesla released more tweaks to its latest V12 version of the software to certain users. Tesla says the latest software upgrades FSD’s city-streets driving capability to run entirely on neural networks.

More drivers with FSD doesn’t only mean more money for Tesla. It also means more video data which the EV maker can use to train its neural nets and improve the product. Tesla might also be angling to use that data so it can meet CEO Elon Musk’s recent promise to unveil a Tesla robotaxi in August.

Musk has urged drivers to increase the value of their own cars by purchasing the software, and said in 2022 that Tesla is “basically worth zero” if it can’t develop self-driving technology. Indeed, Tesla’s stock may be valued like a big tech company, but its margins continue to remind us that Tesla is still just an automaker.

However, as TechCrunch has previously pointed out, greater FSD accessibility might increase the likelihood of drivers signing up who aren’t doing their part to supervise the software and may find themselves unable to take over if something goes wrong.

Tesla doesn’t appear to have changed the cost of a one-time purchase of FSD, which is still $12,000 in the U.S. Although that price has fluctuated in recent years, as well. In 2022, Tesla increased the cost of FSD to $15,000 in North America, before dropping it back down to its current price a year later. 

The current price cut, which somewhat democratizes the software, is a stark contradiction to Musk’s statement just four years ago on X, formerly Twitter, that the closer FSD gets to full self-driving capability, the higher its value will increase. Musk said at the time the software could even rise to “probably somewhere in excess of $100,000.”




Software Development in Sri Lanka

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